From c6bdd0b6576ba4ad723904501115bc59168aa467 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Thu, 25 Jun 2026 12:13:45 -0600
Subject: [PATCH 01/68] feat(eta): package gtfs_eta inference library with
 relocatable registry

Vendored inference half of the ETA model lifecycle (canonical training source
lives in gtfs-django/eta_prediction): estimator, feature engineering, and the
model registry loader, with heavy deps slimmed (xgboost is an optional extra).

The registry resolves model/metadata paths relative to its directory, so it is
relocatable: bind-mountable, checked-in placeholders, or models written by an
external retraining suite all load regardless of MODEL_REGISTRY_DIR. Wired into
databus as an editable uv workspace member.

See backend/gtfs-eta/README.md for provenance and extraction intent.
---
 backend/gtfs-eta/README.md                    |  34 ++
 backend/gtfs-eta/gtfs_eta/__init__.py         |   2 +
 backend/gtfs-eta/gtfs_eta/core/__init__.py    |   1 +
 backend/gtfs-eta/gtfs_eta/core/config.py      |  28 +
 backend/gtfs-eta/gtfs_eta/core/exceptions.py  |  13 +
 backend/gtfs-eta/gtfs_eta/core/logging.py     |  15 +
 backend/gtfs-eta/gtfs_eta/core/validation.py  |  15 +
 .../gtfs-eta/gtfs_eta/eta_service/__init__.py |   1 +
 .../gtfs_eta/eta_service/estimator.py         | 495 ++++++++++++++++++
 .../gtfs_eta/feature_engineering/__init__.py  |   1 +
 .../gtfs_eta/feature_engineering/spatial.py   | 250 +++++++++
 .../gtfs_eta/feature_engineering/temporal.py  |  98 ++++
 backend/gtfs-eta/gtfs_eta/models/__init__.py  |   1 +
 .../gtfs_eta/models/common/__init__.py        |   1 +
 .../gtfs_eta/models/common/registry.py        | 316 +++++++++++
 .../gtfs-eta/gtfs_eta/models/common/utils.py  | 126 +++++
 .../models/polyreg_distance/__init__.py       |   1 +
 .../gtfs_eta/models/polyreg_distance/model.py | 150 ++++++
 .../models/polyreg_distance/predict.py        |  60 +++
 .../gtfs-eta/gtfs_eta/seed_baseline_model.py  |  94 ++++
 backend/gtfs-eta/pyproject.toml               |  22 +
 backend/pyproject.toml                        |   3 +
 backend/uv.lock                               | 153 ++++++
 23 files changed, 1880 insertions(+)
 create mode 100644 backend/gtfs-eta/README.md
 create mode 100644 backend/gtfs-eta/gtfs_eta/__init__.py
 create mode 100644 backend/gtfs-eta/gtfs_eta/core/__init__.py
 create mode 100644 backend/gtfs-eta/gtfs_eta/core/config.py
 create mode 100644 backend/gtfs-eta/gtfs_eta/core/exceptions.py
 create mode 100644 backend/gtfs-eta/gtfs_eta/core/logging.py
 create mode 100644 backend/gtfs-eta/gtfs_eta/core/validation.py
 create mode 100644 backend/gtfs-eta/gtfs_eta/eta_service/__init__.py
 create mode 100644 backend/gtfs-eta/gtfs_eta/eta_service/estimator.py
 create mode 100644 backend/gtfs-eta/gtfs_eta/feature_engineering/__init__.py
 create mode 100644 backend/gtfs-eta/gtfs_eta/feature_engineering/spatial.py
 create mode 100644 backend/gtfs-eta/gtfs_eta/feature_engineering/temporal.py
 create mode 100644 backend/gtfs-eta/gtfs_eta/models/__init__.py
 create mode 100644 backend/gtfs-eta/gtfs_eta/models/common/__init__.py
 create mode 100644 backend/gtfs-eta/gtfs_eta/models/common/registry.py
 create mode 100644 backend/gtfs-eta/gtfs_eta/models/common/utils.py
 create mode 100644 backend/gtfs-eta/gtfs_eta/models/polyreg_distance/__init__.py
 create mode 100644 backend/gtfs-eta/gtfs_eta/models/polyreg_distance/model.py
 create mode 100644 backend/gtfs-eta/gtfs_eta/models/polyreg_distance/predict.py
 create mode 100644 backend/gtfs-eta/gtfs_eta/seed_baseline_model.py
 create mode 100644 backend/gtfs-eta/pyproject.toml

diff --git a/backend/gtfs-eta/README.md b/backend/gtfs-eta/README.md
new file mode 100644
index 0000000..1e9fb55
--- /dev/null
+++ b/backend/gtfs-eta/README.md
@@ -0,0 +1,34 @@
+# gtfs_eta
+
+Inference-only ETA library: given a vehicle position and the upcoming stops on
+its trip, predict arrival times from trained models stored in a model registry.
+
+This is the **consumption half** of the ETA model lifecycle. It is consumed by
+databus (`runs/domain/progression/stop_times.py`) to populate the
+`run:<id>:stop_time_updates` projection that backs the GTFS-RT trip-updates feed.
+
+## Provenance & intent
+
+- **Vendored, not original.** The canonical source — including model training —
+  lives in `gtfs-django` (`feature/eta_prediction`). This package is the slimmed
+  inference half: estimator, feature engineering, and the model registry loader,
+  with heavy training/serving deps dropped (`xgboost` is an optional extra).
+- **Candidate for extraction.** It is namespaced (`gtfs_eta.*`) and databus
+  depends on it through a single narrow seam (a lazy import in `stop_times.py`
+  plus the workspace dependency). If a second consumer appears, or it needs an
+  independent release cadence, it should move to its own package/repo — pulled
+  the same way `gtfs-io` and `gtfs-django` are — and the move stays mechanical.
+  Keep the databus → `gtfs_eta` seam narrow to preserve that.
+
+## Model registry
+
+Models are loaded from `MODEL_REGISTRY_DIR` (a `registry.json` index plus per-model
+`*.pkl` / `*_meta.json`). Paths are resolved **relative to the registry directory**,
+so the registry is relocatable: bind-mount it anywhere, check a placeholder into
+version control, or have an external retraining suite write into it.
+
+A deterministic placeholder global baseline can be (re)generated with:
+
+```bash
+MODEL_REGISTRY_DIR=eta_models python -m gtfs_eta.seed_baseline_model
+```
diff --git a/backend/gtfs-eta/gtfs_eta/__init__.py b/backend/gtfs-eta/gtfs_eta/__init__.py
new file mode 100644
index 0000000..acebcb0
--- /dev/null
+++ b/backend/gtfs-eta/gtfs_eta/__init__.py
@@ -0,0 +1,2 @@
+"""gtfs_eta — namespaced ETA-prediction package for the SIMOVI databus."""
+__version__ = "0.1.0"
diff --git a/backend/gtfs-eta/gtfs_eta/core/__init__.py b/backend/gtfs-eta/gtfs_eta/core/__init__.py
new file mode 100644
index 0000000..3b5cf9a
--- /dev/null
+++ b/backend/gtfs-eta/gtfs_eta/core/__init__.py
@@ -0,0 +1 @@
+# gtfs_eta.core
diff --git a/backend/gtfs-eta/gtfs_eta/core/config.py b/backend/gtfs-eta/gtfs_eta/core/config.py
new file mode 100644
index 0000000..4f0b1c4
--- /dev/null
+++ b/backend/gtfs-eta/gtfs_eta/core/config.py
@@ -0,0 +1,28 @@
+"""
+Runtime configuration for gtfs_eta.
+
+The registry dir is NOT derived from __file__ — it comes solely from the
+MODEL_REGISTRY_DIR environment variable (or the registry's own discovery
+logic).  This module only exposes the defaults that are safe to use at
+import time without side effects.
+"""
+
+# Default timezone and region for Costa Rica operations
+DEFAULT_TIMEZONE: str = "America/Costa_Rica"
+DEFAULT_REGION: str = "CR"
+
+# Weather defaults (used when no live weather feed is available)
+DEFAULT_TEMPERATURE_C: float = 25.0
+DEFAULT_PRECIPITATION_MM: float = 0.0
+DEFAULT_WIND_SPEED_KMH: float | None = None
+
+
+def get_config() -> dict:
+    """Return the active configuration as a plain dict."""
+    return {
+        "default_timezone": DEFAULT_TIMEZONE,
+        "default_region": DEFAULT_REGION,
+        "default_temperature_c": DEFAULT_TEMPERATURE_C,
+        "default_precipitation_mm": DEFAULT_PRECIPITATION_MM,
+        "default_wind_speed_kmh": DEFAULT_WIND_SPEED_KMH,
+    }
diff --git a/backend/gtfs-eta/gtfs_eta/core/exceptions.py b/backend/gtfs-eta/gtfs_eta/core/exceptions.py
new file mode 100644
index 0000000..6abb7cb
--- /dev/null
+++ b/backend/gtfs-eta/gtfs_eta/core/exceptions.py
@@ -0,0 +1,13 @@
+"""Custom exceptions for gtfs_eta."""
+
+
+class GTFSEtaError(Exception):
+    """Base error for the gtfs_eta package."""
+
+
+class ModelNotFoundError(GTFSEtaError):
+    """Raised when a requested model is not in the registry."""
+
+
+class PredictionError(GTFSEtaError):
+    """Raised when a model prediction fails."""
diff --git a/backend/gtfs-eta/gtfs_eta/core/logging.py b/backend/gtfs-eta/gtfs_eta/core/logging.py
new file mode 100644
index 0000000..302283a
--- /dev/null
+++ b/backend/gtfs-eta/gtfs_eta/core/logging.py
@@ -0,0 +1,15 @@
+"""Logging helpers for gtfs_eta."""
+import logging
+
+
+def get_logger(name: str, level: str = "INFO") -> logging.Logger:
+    """Return a named logger with a consistent format."""
+    logger = logging.getLogger(name)
+    if not logger.handlers:
+        handler = logging.StreamHandler()
+        handler.setFormatter(
+            logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
+        )
+        logger.addHandler(handler)
+    logger.setLevel(getattr(logging, level.upper(), logging.INFO))
+    return logger
diff --git a/backend/gtfs-eta/gtfs_eta/core/validation.py b/backend/gtfs-eta/gtfs_eta/core/validation.py
new file mode 100644
index 0000000..8680ea6
--- /dev/null
+++ b/backend/gtfs-eta/gtfs_eta/core/validation.py
@@ -0,0 +1,15 @@
+"""Input validation helpers for gtfs_eta."""
+from typing import Any
+
+
+def require_keys(d: dict, keys: list[str], context: str = "") -> None:
+    """Raise ValueError if any key is missing from d."""
+    missing = [k for k in keys if k not in d]
+    if missing:
+        raise ValueError(f"Missing required keys {missing} in {context or 'input'}")
+
+
+def require_positive(value: Any, name: str) -> None:
+    """Raise ValueError if value is not a positive number."""
+    if value is None or float(value) <= 0:
+        raise ValueError(f"{name} must be a positive number, got {value!r}")
diff --git a/backend/gtfs-eta/gtfs_eta/eta_service/__init__.py b/backend/gtfs-eta/gtfs_eta/eta_service/__init__.py
new file mode 100644
index 0000000..9177055
--- /dev/null
+++ b/backend/gtfs-eta/gtfs_eta/eta_service/__init__.py
@@ -0,0 +1 @@
+# gtfs_eta.eta_service
diff --git a/backend/gtfs-eta/gtfs_eta/eta_service/estimator.py b/backend/gtfs-eta/gtfs_eta/eta_service/estimator.py
new file mode 100644
index 0000000..dd4505b
--- /dev/null
+++ b/backend/gtfs-eta/gtfs_eta/eta_service/estimator.py
@@ -0,0 +1,495 @@
+"""
+ETA Service — low-latency inference with direct shape support.
+
+Ported from eta_prediction/eta_service/estimator.py on branch
+feature/eta_prediction with the following changes:
+  - All sys.path hacks removed.
+  - All imports rewritten to absolute gtfs_eta.* paths.
+  - Module-level print() diagnostics removed (replaced with logging.debug).
+  - os.environ mutation at import time removed.
+  - Lazy imports inside _predict_with_model rewritten to gtfs_eta.* paths so
+    all branches are consistent (only polyreg_distance is exercised by the
+    baseline model, but the other branches compile cleanly).
+  - ADDED: precomputed-distance hook — if an upcoming_stop dict carries a
+    non-None 'shape_distance_to_stop' key, that value is used as the
+    authoritative distance, bypassing both shape projection and haversine
+    fallback for that stop (databus pre-computes a loop-back-safe monotonic
+    distance and we prefer it).
+"""
+
+import logging
+import math
+from datetime import datetime, timezone
+from typing import Optional
+
+from gtfs_eta.feature_engineering.temporal import extract_temporal_features
+from gtfs_eta.models.common.registry import get_registry
+
+_log = logging.getLogger(__name__)
+
+# ---------------------------------------------------------------------------
+# Optional shape support
+# ---------------------------------------------------------------------------
+try:
+    from gtfs_eta.feature_engineering.spatial import (
+        ShapePolyline,
+        calculate_distance_features_with_shape,
+    )
+    SHAPE_SUPPORT = True
+except ImportError:
+    SHAPE_SUPPORT = False
+    _log.debug("Shape-aware spatial features not available; using fallback")
+
+
+# ---------------------------------------------------------------------------
+# Helpers
+# ---------------------------------------------------------------------------
+
+def haversine_distance(lat1: float, lon1: float, lat2: float, lon2: float) -> float:
+    """Calculate distance between two lat/lon points in metres."""
+    R = 6_371_000
+    phi1, phi2 = math.radians(lat1), math.radians(lat2)
+    dphi = math.radians(lat2 - lat1)
+    dlambda = math.radians(lon2 - lon1)
+    a = math.sin(dphi / 2) ** 2 + math.cos(phi1) * math.cos(phi2) * math.sin(dlambda / 2) ** 2
+    c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
+    return R * c
+
+
+def _progress_features_fallback(vehicle_position, stop, next_stop, total_segments_hint):
+    """
+    Approximate distance / progress metrics without shape data.
+    Used when no ShapePolyline is available for the current trip.
+    """
+    vp_lat = vehicle_position["lat"]
+    vp_lon = vehicle_position["lon"]
+    stop_lat = stop["lat"]
+    stop_lon = stop["lon"]
+
+    distance_to_stop = haversine_distance(vp_lat, vp_lon, stop_lat, stop_lon)
+
+    progress_on_segment = 0.0
+    if next_stop:
+        next_lat = next_stop["lat"]
+        next_lon = next_stop["lon"]
+        segment_length = haversine_distance(stop_lat, stop_lon, next_lat, next_lon)
+        if segment_length > 0:
+            distance_to_next = haversine_distance(vp_lat, vp_lon, next_lat, next_lon)
+            progress_on_segment = max(0.0, min(1.0, 1.0 - (distance_to_next / segment_length)))
+
+    stop_seq = (
+        stop.get("stop_sequence")
+        or stop.get("sequence")
+        or stop.get("stop_order")
+        or 1
+    )
+    total_segments = (
+        stop.get("total_stop_sequence")
+        or total_segments_hint
+        or stop_seq
+    )
+    completed = max(float(stop_seq) - 1.0, 0.0)
+    denom = max(float(total_segments), 1.0)
+    progress_ratio = max(0.0, min(1.0, (completed + progress_on_segment) / denom))
+
+    return {
+        "distance_to_stop_m": distance_to_stop,
+        "progress_on_segment": progress_on_segment,
+        "progress_ratio": progress_ratio,
+        "cross_track_error": None,
+        "shape_progress": None,
+        "shape_distance_to_stop": None,
+    }
+
+
+def _progress_features_with_shape(
+    vehicle_position, stop, next_stop, shape, vehicle_stop_order, total_segments
+):
+    """
+    Shape-aware distance / progress metrics using a pre-loaded ShapePolyline.
+    Returns enhanced spatial features including cross-track error and
+    shape-based distances.
+    """
+    features = calculate_distance_features_with_shape(
+        vehicle_position=vehicle_position,
+        stop=stop,
+        next_stop=next_stop,
+        shape=shape,
+        vehicle_stop_order=vehicle_stop_order,
+        total_segments=total_segments,
+    )
+    return {
+        "distance_to_stop_m": features.get("distance_to_stop", 0.0),
+        "progress_on_segment": features.get("progress_on_segment", 0.0),
+        "progress_ratio": features.get("progress_ratio", 0.0),
+        "cross_track_error": features.get("cross_track_error"),
+        "shape_progress": features.get("shape_progress"),
+        "shape_distance_to_stop": features.get("shape_distance_to_stop"),
+    }
+
+
+def _predict_with_model(model_key, model_type, features, distance_m):
+    """
+    Dispatch to the appropriate predict_eta function based on model_type.
+    All lazy imports use absolute gtfs_eta.* paths.
+    """
+    if model_type == "historical_mean":
+        from gtfs_eta.models.historical_mean.predict import predict_eta
+        return predict_eta(
+            model_key=model_key,
+            route_id=features.get("route_id", "unknown"),
+            stop_sequence=features.get("stop_sequence", 0),
+            hour=features.get("hour", 0),
+            day_of_week=features.get("day_of_week", 0),
+            is_peak_hour=features.get("is_peak_hour", False),
+        )
+
+    elif model_type == "ewma":
+        from gtfs_eta.models.ewma.predict import predict_eta
+        return predict_eta(
+            model_key=model_key,
+            route_id=features.get("route_id", "unknown"),
+            stop_sequence=features.get("stop_sequence", 0),
+            hour=features.get("hour", 0),
+        )
+
+    elif model_type == "polyreg_distance":
+        from gtfs_eta.models.polyreg_distance.predict import predict_eta
+        return predict_eta(
+            model_key=model_key,
+            distance_to_stop=distance_m,
+        )
+
+    elif model_type == "polyreg_time":
+        from gtfs_eta.models.polyreg_time.predict import predict_eta
+        return predict_eta(
+            model_key=model_key,
+            distance_to_stop=distance_m,
+            progress_on_segment=features.get("progress_on_segment"),
+            progress_ratio=features.get("progress_ratio"),
+            hour=features.get("hour", 0),
+            day_of_week=features.get("day_of_week", 0),
+            is_peak_hour=features.get("is_peak_hour", False),
+            is_weekend=features.get("is_weekend", False),
+            is_holiday=features.get("is_holiday", False),
+            temperature_c=features.get("temperature_c", 25.0),
+            precipitation_mm=features.get("precipitation_mm", 0.0),
+            wind_speed_kmh=features.get("wind_speed_kmh"),
+        )
+
+    elif model_type == "xgboost":
+        from gtfs_eta.models.xgb.predict import predict_eta
+        return predict_eta(
+            model_key=model_key,
+            distance_to_stop=distance_m,
+            progress_on_segment=features.get("progress_on_segment"),
+            progress_ratio=features.get("progress_ratio"),
+            hour=features.get("hour", 0),
+            day_of_week=features.get("day_of_week", 0),
+            is_peak_hour=features.get("is_peak_hour", False),
+            is_weekend=features.get("is_weekend", False),
+            is_holiday=features.get("is_holiday", False),
+            temperature_c=features.get("temperature_c", 25.0),
+            precipitation_mm=features.get("precipitation_mm", 0.0),
+            wind_speed_kmh=features.get("wind_speed_kmh", None),
+        )
+
+    else:
+        raise ValueError(f"Unknown model type: {model_type!r}")
+
+
+# ---------------------------------------------------------------------------
+# Public API
+# ---------------------------------------------------------------------------
+
+def estimate_stop_times(
+    vehicle_position: dict,
+    upcoming_stops: list[dict],
+    route_id: str = None,
+    trip_id: str = None,
+    model_key: str = None,
+    model_type: str = None,
+    prefer_route_model: bool = True,
+    max_stops: int = 3,
+    shape: object = None,
+) -> dict:
+    """
+    Estimate arrival times for upcoming stops based on vehicle position.
+
+    LOW-LATENCY DESIGN: No database calls during inference.
+    All data (stops, shapes) must be pre-loaded and passed as arguments.
+
+    Args:
+        vehicle_position: Dict with vehicle_id, route, lat, lon, speed, timestamp.
+        upcoming_stops: List of stop dicts.  Each dict may include:
+            - stop_id, stop_sequence, lat, lon  (always required)
+            - shape_distance_to_stop (float, metres)  — OPTIONAL.
+              When present and non-None, databus has pre-computed a
+              loop-back-safe monotonic distance along the shape; that value
+              is used directly as distance_m for the model, bypassing both
+              ShapePolyline projection and haversine fallback for that stop.
+        route_id: Optional route override.
+        trip_id: Optional trip ID for metadata.
+        model_key: Optional explicit model to use.
+        model_type: Optional model type filter.
+        prefer_route_model: If True, prefer route-specific models over global.
+        max_stops: Maximum number of stops to predict.
+        shape: Optional pre-loaded ShapePolyline object.
+
+    Returns:
+        Dict with predictions, model info, and metadata.
+    """
+    # Validate inputs
+    if not vehicle_position or not upcoming_stops:
+        return {
+            "vehicle_id": vehicle_position.get("vehicle_id", "unknown") if vehicle_position else "unknown",
+            "route_id": route_id,
+            "trip_id": trip_id,
+            "computed_at": datetime.now(timezone.utc).isoformat(),
+            "model_key": None,
+            "predictions": [],
+            "error": "Missing vehicle position or stops",
+        }
+
+    stops_to_predict = upcoming_stops[:max_stops]
+
+    # Parse timestamp
+    vp_timestamp_str = vehicle_position["timestamp"]
+    if vp_timestamp_str.endswith("Z"):
+        vp_timestamp_str = vp_timestamp_str.replace("Z", "+00:00")
+    vp_timestamp = datetime.fromisoformat(vp_timestamp_str)
+
+    # Extract temporal features (Costa Rica locale by default)
+    temporal_features = extract_temporal_features(
+        vp_timestamp,
+        tz="America/Costa_Rica",
+        region="CR",
+    )
+
+    # Determine route
+    if route_id is None:
+        route_id = vehicle_position.get("route", "unknown")
+
+    # Validate shape support
+    shape_available = shape is not None and SHAPE_SUPPORT
+    if shape and not SHAPE_SUPPORT:
+        _log.debug("Shape provided but spatial module unavailable; using fallback")
+        shape = None
+
+    # Load registry and select model
+    registry = get_registry()
+    model_scope = "unknown"
+
+    if model_key is None:
+        if prefer_route_model and route_id and route_id != "unknown":
+            model_key = registry.get_best_model(
+                model_type=model_type,
+                route_id=route_id,
+                metric="test_mae_seconds",
+            )
+            model_scope = "route" if model_key else "global"
+            if model_key is None:
+                model_key = registry.get_best_model(
+                    model_type=model_type,
+                    route_id="global",
+                    metric="test_mae_seconds",
+                )
+        else:
+            model_key = registry.get_best_model(
+                model_type=model_type,
+                route_id="global",
+                metric="test_mae_seconds",
+            )
+            model_scope = "global"
+
+        # Last fallback — any model of the given type
+        if model_key is None:
+            model_key = registry.get_best_model(model_type=model_type)
+
+        if model_key is None:
+            return {
+                "vehicle_id": vehicle_position["vehicle_id"],
+                "route_id": route_id,
+                "trip_id": trip_id,
+                "computed_at": datetime.now(timezone.utc).isoformat(),
+                "model_key": None,
+                "predictions": [],
+                "error": "No trained models found for model_type",
+            }
+
+    # Load model metadata
+    try:
+        model_metadata = registry.load_metadata(model_key)
+        actual_model_type = model_metadata.get("model_type", "unknown")
+        model_route_id = model_metadata.get("route_id")
+        if model_route_id not in (None, "global"):
+            model_scope = "route"
+        elif model_scope == "unknown":
+            model_scope = "global"
+    except Exception as exc:
+        return {
+            "vehicle_id": vehicle_position["vehicle_id"],
+            "route_id": route_id,
+            "trip_id": trip_id,
+            "computed_at": datetime.now(timezone.utc).isoformat(),
+            "model_key": model_key,
+            "predictions": [],
+            "error": f"Failed to load model metadata: {exc}",
+        }
+
+    # -----------------------------------------------------------------------
+    # Per-stop predictions
+    # -----------------------------------------------------------------------
+    predictions = []
+    approx_total_segments = (
+        max(
+            (
+                stop.get("total_stop_sequence")
+                or stop.get("stop_sequence")
+                or stop.get("sequence")
+                or 0
+            )
+            for stop in stops_to_predict
+        )
+        if stops_to_predict
+        else 0
+    )
+    if approx_total_segments <= 0:
+        approx_total_segments = max(len(stops_to_predict), 1)
+
+    for idx, stop in enumerate(stops_to_predict):
+        next_stop = stops_to_predict[idx + 1] if idx + 1 < len(stops_to_predict) else None
+
+        # Use explicit None checks, not `or`: stop_sequence == 0 is a valid
+        # GTFS 0-based sequence and must not be treated as falsy (that would
+        # relabel stop 0 as 1 and collide with a real stop 1).
+        if stop.get("stop_sequence") is not None:
+            stop_sequence_value = stop["stop_sequence"]
+        elif stop.get("sequence") is not None:
+            stop_sequence_value = stop["sequence"]
+        elif stop.get("stop_order") is not None:
+            stop_sequence_value = stop["stop_order"]
+        else:
+            stop_sequence_value = idx + 1
+
+        # -------------------------------------------------------------------
+        # PRECOMPUTED-DISTANCE HOOK
+        # Databus pre-computes a loop-back-safe monotonic distance along the
+        # shape for each upcoming stop and stores it as shape_distance_to_stop.
+        # When present, we use it directly as the authoritative distance_m,
+        # skipping both ShapePolyline projection and haversine fallback.
+        # This avoids projection artifacts on looping routes and ensures the
+        # distance is always non-decreasing across the stop list.
+        # -------------------------------------------------------------------
+        precomputed_dist = stop.get("shape_distance_to_stop")
+        if precomputed_dist is not None:
+            distance_m = float(precomputed_dist)
+            spatial_features = {
+                "distance_to_stop_m": distance_m,
+                "progress_on_segment": 0.0,
+                "progress_ratio": 0.0,
+                "cross_track_error": None,
+                "shape_progress": None,
+                # Surface the precomputed distance so it appears in the
+                # output prediction dict as shape_distance_to_stop_m.
+                "shape_distance_to_stop": distance_m,
+            }
+        elif shape_available:
+            spatial_features = _progress_features_with_shape(
+                vehicle_position,
+                stop,
+                next_stop,
+                shape,
+                vehicle_stop_order=stop_sequence_value,
+                total_segments=approx_total_segments,
+            )
+            distance_m = spatial_features["distance_to_stop_m"]
+        else:
+            spatial_features = _progress_features_fallback(
+                vehicle_position,
+                stop,
+                next_stop,
+                approx_total_segments,
+            )
+            distance_m = spatial_features["distance_to_stop_m"]
+
+        # Build feature dict for the model
+        progress_on_segment = spatial_features["progress_on_segment"] or 0.0
+        progress_ratio = spatial_features["progress_ratio"] or 0.0
+
+        features = {
+            "route_id": route_id,
+            "stop_sequence": stop_sequence_value,
+            "distance_to_stop": distance_m,
+            "progress_on_segment": progress_on_segment,
+            "progress_ratio": progress_ratio,
+            "hour": temporal_features["hour"],
+            "day_of_week": temporal_features["day_of_week"],
+            "is_weekend": temporal_features["is_weekend"],
+            "is_holiday": temporal_features["is_holiday"],
+            "is_peak_hour": temporal_features["is_peak_hour"],
+            "temperature_c": 25.0,
+            "precipitation_mm": 0.0,
+            "wind_speed_kmh": None,
+        }
+
+        try:
+            result = _predict_with_model(model_key, actual_model_type, features, distance_m)
+
+            eta_seconds = result.get("eta_seconds", 0.0)
+            eta_minutes = eta_seconds / 60.0
+            eta_formatted = result.get(
+                "eta_formatted",
+                f"{int(eta_minutes)}m {int(eta_seconds % 60)}s",
+            )
+            eta_ts = datetime.fromtimestamp(
+                vp_timestamp.timestamp() + eta_seconds, tz=timezone.utc
+            )
+
+            prediction = {
+                "stop_id": stop["stop_id"],
+                "stop_sequence": stop_sequence_value,
+                "distance_to_stop_m": round(distance_m, 1),
+                "eta_seconds": round(eta_seconds, 1),
+                "eta_minutes": round(eta_minutes, 2),
+                "eta_formatted": eta_formatted,
+                "eta_timestamp": eta_ts.isoformat(),
+            }
+
+            # Optional shape metrics
+            if spatial_features.get("cross_track_error") is not None:
+                prediction["cross_track_error_m"] = round(spatial_features["cross_track_error"], 1)
+            if spatial_features.get("shape_progress") is not None:
+                prediction["shape_progress"] = round(spatial_features["shape_progress"], 3)
+            if spatial_features.get("shape_distance_to_stop") is not None:
+                prediction["shape_distance_to_stop_m"] = round(
+                    spatial_features["shape_distance_to_stop"], 1
+                )
+
+            predictions.append(prediction)
+
+        except Exception as exc:
+            predictions.append(
+                {
+                    "stop_id": stop["stop_id"],
+                    "stop_sequence": stop_sequence_value,
+                    "distance_to_stop_m": round(distance_m, 1),
+                    "eta_seconds": None,
+                    "eta_minutes": None,
+                    "eta_formatted": None,
+                    "eta_timestamp": None,
+                    "error": str(exc),
+                }
+            )
+
+    return {
+        "vehicle_id": vehicle_position["vehicle_id"],
+        "route_id": route_id,
+        "trip_id": trip_id,
+        "computed_at": datetime.now(timezone.utc).isoformat(),
+        "model_key": model_key,
+        "model_type": actual_model_type,
+        "model_scope": model_scope,
+        "shape_used": shape_available,
+        "predictions": predictions,
+    }
diff --git a/backend/gtfs-eta/gtfs_eta/feature_engineering/__init__.py b/backend/gtfs-eta/gtfs_eta/feature_engineering/__init__.py
new file mode 100644
index 0000000..1d1fec6
--- /dev/null
+++ b/backend/gtfs-eta/gtfs_eta/feature_engineering/__init__.py
@@ -0,0 +1 @@
+# gtfs_eta.feature_engineering
diff --git a/backend/gtfs-eta/gtfs_eta/feature_engineering/spatial.py b/backend/gtfs-eta/gtfs_eta/feature_engineering/spatial.py
new file mode 100644
index 0000000..4fa2150
--- /dev/null
+++ b/backend/gtfs-eta/gtfs_eta/feature_engineering/spatial.py
@@ -0,0 +1,250 @@
+"""
+Shape-informed spatial feature extraction for gtfs_eta.
+
+Ported from eta_prediction/feature_engineering/spatial.py on branch
+feature/eta_prediction.  No sys.path hacks; no DB helper functions
+(load_shape_from_gtfs / load_shape_for_trip) that require psycopg2 are
+kept because they are not needed by the inference path.
+"""
+from __future__ import annotations
+
+import math
+from typing import Dict, List, Tuple, Optional
+
+EARTH_RADIUS_M = 6_371_000.0
+
+
+def _deg2rad(x: float) -> float:
+    return x * math.pi / 180.0
+
+
+def _haversine_m(lat1: float, lon1: float, lat2: float, lon2: float) -> float:
+    """Great-circle distance in meters."""
+    phi1, phi2 = _deg2rad(lat1), _deg2rad(lat2)
+    dphi = phi2 - phi1
+    dlambda = _deg2rad(lon2 - lon1)
+    a = math.sin(dphi / 2) ** 2 + math.cos(phi1) * math.cos(phi2) * math.sin(dlambda / 2) ** 2
+    c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
+    return EARTH_RADIUS_M * c
+
+
+class ShapePolyline:
+    """
+    Represents a route shape as an ordered sequence of (lat, lon) points.
+    Provides methods to project vehicle positions onto the polyline and
+    compute accurate progress along the route.
+    """
+
+    def __init__(self, points: List[Tuple[float, float]]):
+        if len(points) < 2:
+            raise ValueError("Shape must have at least 2 points")
+        self.points = points
+        self._segment_lengths = self._compute_segment_lengths()
+        self._cumulative_distances = self._compute_cumulative_distances()
+        self.total_length = self._cumulative_distances[-1]
+
+    def _compute_segment_lengths(self) -> List[float]:
+        lengths = []
+        for i in range(len(self.points) - 1):
+            lat1, lon1 = self.points[i]
+            lat2, lon2 = self.points[i + 1]
+            lengths.append(_haversine_m(lat1, lon1, lat2, lon2))
+        return lengths
+
+    def _compute_cumulative_distances(self) -> List[float]:
+        cumulative = [0.0]
+        for length in self._segment_lengths:
+            cumulative.append(cumulative[-1] + length)
+        return cumulative
+
+    def project_point(self, lat: float, lon: float) -> Dict:
+        """
+        Project a point onto the polyline, finding the closest position.
+
+        Returns:
+            {
+                'distance_along_shape': meters from shape start,
+                'cross_track_distance': perpendicular distance from shape (meters),
+                'closest_segment_idx': index of nearest segment,
+                'progress': normalized progress [0, 1]
+            }
+        """
+        min_dist = float("inf")
+        best_segment_idx = 0
+        best_projection_dist = 0.0
+
+        for i in range(len(self.points) - 1):
+            lat1, lon1 = self.points[i]
+            lat2, lon2 = self.points[i + 1]
+            proj_info = self._project_onto_segment(lat, lon, lat1, lon1, lat2, lon2)
+            if proj_info["distance"] < min_dist:
+                min_dist = proj_info["distance"]
+                best_segment_idx = i
+                best_projection_dist = proj_info["distance_along_segment"]
+
+        distance_along_shape = (
+            self._cumulative_distances[best_segment_idx] + best_projection_dist
+        )
+        progress = (
+            distance_along_shape / self.total_length if self.total_length > 0 else 0.0
+        )
+
+        return {
+            "distance_along_shape": distance_along_shape,
+            "cross_track_distance": min_dist,
+            "closest_segment_idx": best_segment_idx,
+            "progress": min(1.0, max(0.0, progress)),
+        }
+
+    def _project_onto_segment(
+        self,
+        lat: float,
+        lon: float,
+        lat1: float,
+        lon1: float,
+        lat2: float,
+        lon2: float,
+    ) -> Dict:
+        """Project point onto a single segment (planar approximation)."""
+        avg_lat = (lat1 + lat2) / 2
+        meters_per_deg_lat = 111320.0
+        meters_per_deg_lon = 111320.0 * math.cos(_deg2rad(avg_lat))
+
+        seg_x = (lon2 - lon1) * meters_per_deg_lon
+        seg_y = (lat2 - lat1) * meters_per_deg_lat
+        seg_length_sq = seg_x ** 2 + seg_y ** 2
+
+        if seg_length_sq < 1e-6:
+            dist = _haversine_m(lat, lon, lat1, lon1)
+            return {"distance": dist, "distance_along_segment": 0.0}
+
+        dx = (lon - lon1) * meters_per_deg_lon
+        dy = (lat - lat1) * meters_per_deg_lat
+
+        t = (dx * seg_x + dy * seg_y) / seg_length_sq
+        t = max(0.0, min(1.0, t))
+
+        proj_x = lon1 + t * (lon2 - lon1)
+        proj_y = lat1 + t * (lat2 - lat1)
+
+        dist = _haversine_m(lat, lon, proj_y, proj_x)
+        seg_length = math.sqrt(seg_length_sq)
+        distance_along_segment = t * seg_length
+
+        return {"distance": dist, "distance_along_segment": distance_along_segment}
+
+    def get_distance_between_stops(
+        self,
+        stop1_lat: float,
+        stop1_lon: float,
+        stop2_lat: float,
+        stop2_lon: float,
+    ) -> float:
+        """Get shape distance between two stops (more accurate than haversine)."""
+        proj1 = self.project_point(stop1_lat, stop1_lon)
+        proj2 = self.project_point(stop2_lat, stop2_lon)
+        return abs(proj2["distance_along_shape"] - proj1["distance_along_shape"])
+
+
+def calculate_distance_features_with_shape(
+    vehicle_position: Dict,
+    stop: Dict,
+    next_stop: Optional[Dict],
+    shape: Optional[ShapePolyline] = None,
+    vehicle_stop_order: Optional[int] = None,
+    total_segments: Optional[int] = None,
+) -> Dict:
+    """
+    Enhanced spatial feature extraction using shape data when available.
+
+    Args:
+        vehicle_position: {'lat': float, 'lon': float}
+        stop: {'stop_id': str, 'lat': float, 'lon': float}
+        next_stop: {'stop_id': str, 'lat': float, 'lon': float} or None
+        shape: ShapePolyline instance or None
+        vehicle_stop_order: 0-based index of the closest upstream stop
+        total_segments: Total number of stop-to-stop segments in trip
+
+    Returns:
+        Dict with distance_to_stop, progress_on_segment, progress_ratio,
+        shape_progress, shape_distance_to_stop, cross_track_error
+    """
+    vlat, vlon = float(vehicle_position["lat"]), float(vehicle_position["lon"])
+    slat, slon = float(stop["lat"]), float(stop["lon"])
+
+    result: Dict = {
+        "distance_to_stop": _haversine_m(vlat, vlon, slat, slon),
+        "distance_to_next_stop": None,
+        "progress_on_segment": None,
+        "progress_ratio": None,
+        "shape_progress": None,
+        "shape_distance_to_stop": None,
+        "cross_track_error": None,
+    }
+
+    nlat = nlon = None
+    if next_stop is not None:
+        nlat, nlon = float(next_stop["lat"]), float(next_stop["lon"])
+        seg_len = _haversine_m(slat, slon, nlat, nlon)
+        result["distance_to_next_stop"] = (
+            0.0 if seg_len == 0.0 else _haversine_m(vlat, vlon, nlat, nlon)
+        )
+
+    # Simple progress proxy when no shape
+    if result["progress_on_segment"] is None and next_stop is not None and result["distance_to_next_stop"] is not None:
+        seg_len = _haversine_m(slat, slon, nlat, nlon)
+        if seg_len > 0:
+            progress = 1.0 - (result["distance_to_next_stop"] / seg_len)
+            result["progress_on_segment"] = max(0.0, min(1.0, progress))
+        else:
+            result["progress_on_segment"] = 0.0
+
+    # Shape-based features
+    if shape is not None:
+        vehicle_proj = shape.project_point(vlat, vlon)
+        stop_proj = shape.project_point(slat, slon)
+
+        shape_dist_to_stop = (
+            stop_proj["distance_along_shape"] - vehicle_proj["distance_along_shape"]
+        )
+        result.update(
+            {
+                "shape_progress": vehicle_proj["progress"],
+                "shape_distance_to_stop": max(0, shape_dist_to_stop),
+                "cross_track_error": vehicle_proj["cross_track_distance"],
+                "progress_ratio": vehicle_proj["progress"],
+            }
+        )
+
+        if next_stop is not None:
+            next_proj = shape.project_point(nlat, nlon)
+            segment_length = (
+                next_proj["distance_along_shape"] - stop_proj["distance_along_shape"]
+            )
+            if segment_length > 0:
+                past_stop = (
+                    vehicle_proj["distance_along_shape"]
+                    - stop_proj["distance_along_shape"]
+                )
+                result["progress_on_segment"] = max(
+                    0.0, min(1.0, past_stop / segment_length)
+                )
+            else:
+                result["progress_on_segment"] = 0.0
+
+    # Fallback progress_ratio using stop order metadata
+    if result["progress_ratio"] is None:
+        order = vehicle_stop_order
+        if order is None:
+            order = stop.get("vehicle_stop_order") or stop.get("stop_order")
+        segments = total_segments
+        if segments is None:
+            segments = stop.get("total_segments")
+        if order is not None and segments:
+            completed_segments = max(float(order), 0.0)
+            progress_within = result["progress_on_segment"] or 0.0
+            denom = max(float(segments), 1.0)
+            ratio = (completed_segments + progress_within) / denom
+            result["progress_ratio"] = max(0.0, min(1.0, ratio))
+
+    return result
diff --git a/backend/gtfs-eta/gtfs_eta/feature_engineering/temporal.py b/backend/gtfs-eta/gtfs_eta/feature_engineering/temporal.py
new file mode 100644
index 0000000..25c5963
--- /dev/null
+++ b/backend/gtfs-eta/gtfs_eta/feature_engineering/temporal.py
@@ -0,0 +1,98 @@
+"""
+Temporal feature extraction for gtfs_eta.
+
+Ported verbatim from eta_prediction/feature_engineering/temporal.py on
+branch feature/eta_prediction; only the import path was changed (no
+sys.path hacks needed in this package).
+"""
+from __future__ import annotations
+
+from datetime import datetime
+from typing import Dict, Optional
+
+try:
+    import zoneinfo  # py3.9+
+except ImportError:  # pragma: no cover
+    from backports import zoneinfo  # type: ignore
+
+
+def _get_holiday_calendar(region: str):
+    """
+    Try to build a holiday calendar. Falls back to empty set if 'holidays' isn't installed.
+    region:
+      - 'US_MA' -> U.S. w/ Massachusetts state holidays (good for MBTA)
+      - 'CR'    -> Costa Rica
+    """
+    try:
+        import holidays
+    except Exception:
+        return None
+
+    if region.upper() == "US_MA":
+        return holidays.US(state="MA")
+    if region.upper() == "CR":
+        # Requires holidays>=0.52 which includes CostaRica
+        try:
+            return holidays.CostaRica()
+        except Exception:
+            return None
+    # Fallback: US federal only
+    return holidays.US()
+
+
+def _to_local(dt: datetime, tz: str) -> datetime:
+    """Ensure timezone-aware datetime localized to tz."""
+    tzinfo = zoneinfo.ZoneInfo(tz)
+    if dt.tzinfo is None:
+        # assume input is UTC if naive
+        return dt.replace(tzinfo=zoneinfo.ZoneInfo("UTC")).astimezone(tzinfo)
+    return dt.astimezone(tzinfo)
+
+
+def _tod_bin(hour: int) -> str:
+    """
+    Map hour -> time-of-day bin.
+    Spec requires: 'morning' | 'midday' | 'afternoon' | 'evening'.
+    """
+    if 5 <= hour <= 9:
+        return "morning"
+    if 10 <= hour <= 13:
+        return "midday"
+    if 14 <= hour <= 17:
+        return "afternoon"
+    return "evening"
+
+
+def extract_temporal_features(
+    timestamp: datetime,
+    *,
+    tz: str = "America/New_York",
+    region: str = "US_MA",
+) -> Dict[str, object]:
+    """
+    Returns:
+        - hour: 0-23
+        - day_of_week: 0-6 (Monday=0)
+        - is_weekend: bool
+        - is_holiday: bool
+        - time_of_day_bin: 'morning'|'midday'|'afternoon'|'evening'
+        - is_peak_hour: bool (7-9am, 4-7pm; weekdays only)
+    """
+    dt_local = _to_local(timestamp, tz)
+    hour = dt_local.hour
+    dow = dt_local.weekday()  # Monday=0
+    is_weekend = dow >= 5
+
+    cal = _get_holiday_calendar(region)
+    is_holiday = bool(cal and (dt_local.date() in cal))
+
+    is_peak_hour = (dow < 5) and ((7 <= hour <= 9) or (16 <= hour <= 19))
+
+    return {
+        "hour": hour,
+        "day_of_week": dow,
+        "is_weekend": is_weekend,
+        "is_holiday": is_holiday,
+        "time_of_day_bin": _tod_bin(hour),
+        "is_peak_hour": is_peak_hour,
+    }
diff --git a/backend/gtfs-eta/gtfs_eta/models/__init__.py b/backend/gtfs-eta/gtfs_eta/models/__init__.py
new file mode 100644
index 0000000..0063a48
--- /dev/null
+++ b/backend/gtfs-eta/gtfs_eta/models/__init__.py
@@ -0,0 +1 @@
+# gtfs_eta.models
diff --git a/backend/gtfs-eta/gtfs_eta/models/common/__init__.py b/backend/gtfs-eta/gtfs_eta/models/common/__init__.py
new file mode 100644
index 0000000..8492010
--- /dev/null
+++ b/backend/gtfs-eta/gtfs_eta/models/common/__init__.py
@@ -0,0 +1 @@
+# gtfs_eta.models.common
diff --git a/backend/gtfs-eta/gtfs_eta/models/common/registry.py b/backend/gtfs-eta/gtfs_eta/models/common/registry.py
new file mode 100644
index 0000000..02b3a4b
--- /dev/null
+++ b/backend/gtfs-eta/gtfs_eta/models/common/registry.py
@@ -0,0 +1,316 @@
+"""
+Model registry for gtfs_eta.
+
+Manages trained model artifacts and metadata in a structured directory.
+The registry dir is determined solely by the MODEL_REGISTRY_DIR environment
+variable; no __file__-relative paths are used so the package is relocatable.
+
+Ported from eta_prediction/models/common/registry.py on branch
+feature/eta_prediction with the following changes:
+  - Removed sys.path hacks (not needed in a proper package).
+  - Removed print() diagnostics; replaced with logging.
+  - PROJECT_ROOT / DEFAULT_REGISTRY_DIR no longer derived from __file__ —
+    the env var is the only authoritative source.
+  - _find_existing_registry_dir() retained as a convenience fallback for
+    local dev (walks CWD upwards looking for models/trained/registry.json).
+  - get_registry() singleton caching retained.
+"""
+
+import json
+import logging
+import os
+import pickle
+from datetime import datetime
+from pathlib import Path
+from typing import Any, Dict, List, Optional, Union
+
+import pandas as pd
+
+_log = logging.getLogger(__name__)
+
+# ── Directory resolution ──────────────────────────────────────────────────────
+
+def _find_existing_registry_dir() -> Optional[Path]:
+    """
+    Walk CWD upward searching for an existing models/trained/registry.json.
+    Returns None if not found (caller should then raise or use a default).
+    """
+    cwd = Path.cwd().resolve()
+    for root in [cwd, *cwd.parents]:
+        candidate = root / "models" / "trained"
+        if (candidate / "registry.json").exists():
+            return candidate.resolve()
+    return None
+
+
+def _resolve_registry_dir() -> Path:
+    """
+    Determine the registry directory with this priority:
+      1. MODEL_REGISTRY_DIR env var (authoritative).
+      2. Walk CWD upward for an existing registry (dev convenience).
+      3. Raise at runtime if neither is available.
+    """
+    env_dir = os.getenv("MODEL_REGISTRY_DIR")
+    if env_dir:
+        return Path(env_dir).expanduser().resolve()
+    discovered = _find_existing_registry_dir()
+    if discovered:
+        return discovered
+    raise RuntimeError(
+        "MODEL_REGISTRY_DIR is not set and no existing registry was found. "
+        "Set the MODEL_REGISTRY_DIR environment variable before using gtfs_eta."
+    )
+
+
+# ── Registry class ────────────────────────────────────────────────────────────
+
+class ModelRegistry:
+    """
+    Manages model artifacts and metadata in a structured directory.
+
+    Structure::
+
+        <registry_dir>/
+          {model_key}.pkl
+          {model_key}_meta.json
+          registry.json          # index of all models
+    """
+
+    def __init__(self, base_dir: Union[str, Path, None] = None):
+        if base_dir is not None:
+            base_path = Path(base_dir).expanduser().resolve()
+        else:
+            base_path = _resolve_registry_dir()
+
+        self.base_dir = base_path
+        self.base_dir.mkdir(parents=True, exist_ok=True)
+
+        self.registry_file = self.base_dir / "registry.json"
+        self._load_registry()
+
+    # ── persistence ──────────────────────────────────────────────────────────
+
+    def _load_registry(self) -> None:
+        if self.registry_file.exists():
+            with open(self.registry_file, "r") as f:
+                self.registry: Dict[str, Any] = json.load(f)
+        else:
+            self.registry = {}
+
+    def _save_registry(self) -> None:
+        with open(self.registry_file, "w") as f:
+            json.dump(self.registry, f, indent=2)
+
+    # ── CRUD ─────────────────────────────────────────────────────────────────
+
+    def save_model(
+        self,
+        model_key: str,
+        model: Any,
+        metadata: Dict[str, Any],
+        overwrite: bool = False,
+    ) -> Path:
+        """Save model pickle + metadata JSON; update the registry index."""
+        model_path = self.base_dir / f"{model_key}.pkl"
+        meta_path = self.base_dir / f"{model_key}_meta.json"
+
+        if model_path.exists() and not overwrite:
+            raise FileExistsError(
+                f"Model {model_key} already exists. Set overwrite=True to replace."
+            )
+
+        with open(model_path, "wb") as f:
+            pickle.dump(model, f)
+
+        metadata = dict(metadata)  # don't mutate caller's dict
+        metadata["model_key"] = model_key
+        metadata["saved_at"] = datetime.now().isoformat()
+        metadata["model_path"] = model_path.name
+
+        with open(meta_path, "w") as f:
+            json.dump(metadata, f, indent=2)
+
+        route_info = (
+            f" (route: {metadata.get('route_id')})"
+            if metadata.get("route_id")
+            else " (global)"
+        )
+        _log.debug("Saved model: %s%s", model_key, route_info)
+
+        # Store basenames only — paths are resolved against ``base_dir`` at
+        # load time (see ``_resolve_in_registry``), keeping the registry
+        # relocatable: a registry directory can be moved, bind-mounted at a
+        # different root, or checked into version control and still load.
+        self.registry[model_key] = {
+            "model_path": model_path.name,
+            "meta_path": meta_path.name,
+            "saved_at": metadata["saved_at"],
+            "model_type": metadata.get("model_type", "unknown"),
+            "route_id": metadata.get("route_id"),
+            "dataset": metadata.get("dataset", "unknown"),
+        }
+        self._save_registry()
+        return model_path
+
+    def _resolve_in_registry(self, stored_path: str) -> Path:
+        """Resolve a registry-stored path against the registry directory.
+
+        Only the basename of ``stored_path`` is used, so entries written with
+        an absolute path on another host (e.g. ``/app/eta_models/x.pkl``) still
+        load wherever the registry directory currently lives.
+        """
+        return self.base_dir / Path(stored_path).name
+
+    def load_model(self, model_key: str) -> Any:
+        """Load and unpickle a model from the registry."""
+        if model_key not in self.registry:
+            raise KeyError(f"Model {model_key!r} not found in registry")
+        model_path = self._resolve_in_registry(self.registry[model_key]["model_path"])
+        with open(model_path, "rb") as f:
+            return pickle.load(f)
+
+    def load_metadata(self, model_key: str) -> Dict[str, Any]:
+        """Load metadata JSON for a model."""
+        if model_key not in self.registry:
+            raise KeyError(f"Model {model_key!r} not found in registry")
+        meta_path = self._resolve_in_registry(self.registry[model_key]["meta_path"])
+        with open(meta_path, "r") as f:
+            return json.load(f)
+
+    def delete_model(self, model_key: str) -> bool:
+        """Remove model pickle, metadata, and registry entry."""
+        if model_key not in self.registry:
+            raise KeyError(f"Model {model_key!r} not found in registry")
+
+        model_path = self._resolve_in_registry(self.registry[model_key]["model_path"])
+        meta_path = self._resolve_in_registry(self.registry[model_key]["meta_path"])
+
+        if model_path.exists():
+            model_path.unlink()
+        if meta_path.exists():
+            meta_path.unlink()
+
+        del self.registry[model_key]
+        self._save_registry()
+        _log.debug("Deleted model: %s", model_key)
+        return True
+
+    # ── query helpers ─────────────────────────────────────────────────────────
+
+    def list_models(
+        self,
+        model_type: Optional[str] = None,
+        route_id: Optional[str] = None,
+        sort_by: str = "saved_at",
+    ) -> pd.DataFrame:
+        """Return a DataFrame of all models matching the given filters."""
+        models = []
+        for key, info in self.registry.items():
+            if model_type and info.get("model_type") != model_type:
+                continue
+            model_route_id = info.get("route_id")
+            if route_id is not None and route_id != "all":
+                if route_id == "global" and model_route_id is not None:
+                    continue
+                elif route_id != "global" and model_route_id != route_id:
+                    continue
+            try:
+                meta = self.load_metadata(key)
+                models.append(
+                    {
+                        "model_key": key,
+                        "model_type": info.get("model_type", "unknown"),
+                        "route_id": model_route_id or "global",
+                        "saved_at": info["saved_at"],
+                        "dataset": meta.get("dataset", "unknown"),
+                        "n_samples": meta.get("n_samples"),
+                        "mae_seconds": meta.get("metrics", {}).get("test_mae_seconds"),
+                        "mae_minutes": meta.get("metrics", {}).get("test_mae_minutes"),
+                        "rmse_seconds": meta.get("metrics", {}).get("test_rmse_seconds"),
+                        "r2": meta.get("metrics", {}).get("test_r2"),
+                    }
+                )
+            except Exception as exc:
+                _log.warning("Could not load metadata for %s: %s", key, exc)
+
+        df = pd.DataFrame(models)
+        if not df.empty and sort_by in df.columns:
+            df = df.sort_values(sort_by, ascending=False)
+        return df
+
+    def get_best_model(
+        self,
+        model_type: Optional[str] = None,
+        route_id: Optional[str] = None,
+        metric: str = "test_mae_seconds",
+        minimize: bool = True,
+    ) -> Optional[str]:
+        """
+        Return the model_key of the best model by the given metric.
+
+        When route_id is None, prefers route-specific models if they exist;
+        otherwise falls back to global models.
+        """
+        candidates = []
+        for key in self.registry:
+            if model_type and self.registry[key].get("model_type") != model_type:
+                continue
+
+            model_route_id = self.registry[key].get("route_id")
+            if route_id is not None:
+                if route_id == "global" and model_route_id is not None:
+                    continue
+                elif route_id != "global" and model_route_id != route_id:
+                    continue
+
+            try:
+                meta = self.load_metadata(key)
+                metric_value = meta.get("metrics", {}).get(metric)
+                if metric_value is not None:
+                    candidates.append(
+                        {
+                            "key": key,
+                            "metric_value": metric_value,
+                            "route_id": model_route_id,
+                            "is_route_specific": model_route_id is not None,
+                        }
+                    )
+            except Exception:
+                continue
+
+        if not candidates:
+            return None
+
+        if route_id is None:
+            route_specific = [c for c in candidates if c["is_route_specific"]]
+            global_models = [c for c in candidates if not c["is_route_specific"]]
+            candidates_to_sort = route_specific if route_specific else global_models
+        else:
+            candidates_to_sort = candidates
+
+        candidates_to_sort.sort(key=lambda x: x["metric_value"], reverse=not minimize)
+        return candidates_to_sort[0]["key"] if candidates_to_sort else None
+
+    def get_routes(self, model_type: Optional[str] = None) -> List[str]:
+        """Return sorted list of route IDs that have trained models."""
+        routes = set()
+        for key, info in self.registry.items():
+            if model_type and info.get("model_type") != model_type:
+                continue
+            route = info.get("route_id")
+            if route is not None:
+                routes.add(route)
+        return sorted(routes)
+
+
+# ── Singleton ─────────────────────────────────────────────────────────────────
+
+_registry: Optional[ModelRegistry] = None
+
+
+def get_registry() -> ModelRegistry:
+    """Return (or lazily create) the process-level registry singleton."""
+    global _registry
+    if _registry is None:
+        _registry = ModelRegistry()
+    return _registry
diff --git a/backend/gtfs-eta/gtfs_eta/models/common/utils.py b/backend/gtfs-eta/gtfs_eta/models/common/utils.py
new file mode 100644
index 0000000..0ab81c9
--- /dev/null
+++ b/backend/gtfs-eta/gtfs_eta/models/common/utils.py
@@ -0,0 +1,126 @@
+"""
+Utility functions for gtfs_eta.models.
+
+Ported from eta_prediction/models/common/utils.py on branch
+feature/eta_prediction.  Training helpers (print_metrics_table,
+train_test_summary, create_feature_importance_df) are retained as-is;
+they are harmless at inference time.
+"""
+
+import numpy as np
+import pandas as pd
+from typing import Any, Dict, List, Optional
+import logging
+
+
+def setup_logging(name: str = "eta_models", level: str = "INFO") -> logging.Logger:
+    """Setup consistent logging for models."""
+    logger = logging.getLogger(name)
+    logger.setLevel(getattr(logging, level))
+    if not logger.handlers:
+        handler = logging.StreamHandler()
+        handler.setFormatter(
+            logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
+        )
+        logger.addHandler(handler)
+    return logger
+
+
+def safe_divide(
+    numerator: np.ndarray,
+    denominator: np.ndarray,
+    fill_value: float = 0.0,
+) -> np.ndarray:
+    """Safe division that handles division by zero."""
+    result = np.full_like(numerator, fill_value, dtype=float)
+    mask = denominator != 0
+    result[mask] = numerator[mask] / denominator[mask]
+    return result
+
+
+def clip_predictions(
+    predictions: np.ndarray,
+    min_value: float = 0.0,
+    max_value: float = 7200.0,
+) -> np.ndarray:
+    """Clip predictions to reasonable range (0–7200 s by default)."""
+    return np.clip(predictions, min_value, max_value)
+
+
+def calculate_speed_kmh(distance_m: float, time_s: float) -> float:
+    """Calculate speed in km/h from distance and time."""
+    if time_s <= 0:
+        return 0.0
+    return (distance_m / 1000) / (time_s / 3600)
+
+
+def haversine_distance(
+    lat1: float,
+    lon1: float,
+    lat2: float,
+    lon2: float,
+) -> float:
+    """Calculate great-circle distance between two points (meters)."""
+    R = 6_371_000
+    phi1 = np.radians(lat1)
+    phi2 = np.radians(lat2)
+    delta_phi = np.radians(lat2 - lat1)
+    delta_lambda = np.radians(lon2 - lon1)
+    a = (
+        np.sin(delta_phi / 2) ** 2
+        + np.cos(phi1) * np.cos(phi2) * np.sin(delta_lambda / 2) ** 2
+    )
+    c = 2 * np.arctan2(np.sqrt(a), np.sqrt(1 - a))
+    return R * c
+
+
+def format_seconds(seconds: float) -> str:
+    """Format seconds as human-readable string (e.g. '2m 30s', '1h 15m')."""
+    if seconds < 60:
+        return f"{int(seconds)}s"
+    elif seconds < 3600:
+        minutes = int(seconds / 60)
+        secs = int(seconds % 60)
+        return f"{minutes}m {secs}s"
+    else:
+        hours = int(seconds / 3600)
+        minutes = int((seconds % 3600) / 60)
+        return f"{hours}h {minutes}m"
+
+
+def add_lag_features(
+    df: pd.DataFrame,
+    columns: List[str],
+    lags: List[int],
+    group_by: Optional[str] = None,
+) -> pd.DataFrame:
+    """Add lagged features to dataframe (returns a new copy)."""
+    df_copy = df.copy()
+    for col in columns:
+        for lag in lags:
+            lag_col_name = f"{col}_lag{lag}"
+            if group_by:
+                df_copy[lag_col_name] = df_copy.groupby(group_by)[col].shift(lag)
+            else:
+                df_copy[lag_col_name] = df_copy[col].shift(lag)
+    return df_copy
+
+
+def smooth_predictions(
+    predictions: np.ndarray,
+    window_size: int = 3,
+    method: str = "ewma",
+    alpha: float = 0.3,
+) -> np.ndarray:
+    """Smooth predictions using rolling average or EWMA."""
+    if len(predictions) < window_size:
+        return predictions
+    s = pd.Series(predictions)
+    if method == "mean":
+        return s.rolling(window_size, min_periods=1).mean().values
+    elif method == "median":
+        return s.rolling(window_size, min_periods=1).median().values
+    elif method == "ewma":
+        return s.ewm(alpha=alpha).mean().values
+    else:
+        raise ValueError(f"Unknown smoothing method: {method}")
diff --git a/backend/gtfs-eta/gtfs_eta/models/polyreg_distance/__init__.py b/backend/gtfs-eta/gtfs_eta/models/polyreg_distance/__init__.py
new file mode 100644
index 0000000..7674c17
--- /dev/null
+++ b/backend/gtfs-eta/gtfs_eta/models/polyreg_distance/__init__.py
@@ -0,0 +1 @@
+# gtfs_eta.models.polyreg_distance
diff --git a/backend/gtfs-eta/gtfs_eta/models/polyreg_distance/model.py b/backend/gtfs-eta/gtfs_eta/models/polyreg_distance/model.py
new file mode 100644
index 0000000..9021022
--- /dev/null
+++ b/backend/gtfs-eta/gtfs_eta/models/polyreg_distance/model.py
@@ -0,0 +1,150 @@
+"""
+PolyRegDistanceModel — inference-only class.
+
+Extracted verbatim from eta_prediction/models/polyreg_distance/train.py on
+branch feature/eta_prediction.  Only the class and its sklearn/numpy/pandas
+imports are present here — training functions, dataset loaders, metrics, and
+ModelKey helpers are deliberately excluded so pickles can be loaded without
+any training-time dependency.
+
+Stable import path for pickle compatibility:
+    gtfs_eta.models.polyreg_distance.model.PolyRegDistanceModel
+"""
+
+import numpy as np
+import pandas as pd
+from sklearn.linear_model import Ridge
+from sklearn.pipeline import Pipeline
+from sklearn.preprocessing import PolynomialFeatures
+from typing import Dict, Optional
+
+from gtfs_eta.models.common.utils import clip_predictions
+
+
+class PolyRegDistanceModel:
+    """
+    Polynomial regression on distance with optional route-specific models.
+
+    Features: distance_to_stop, (distance)^2, (distance)^3, ...
+    Can fit separate models per route for better performance.
+    """
+
+    def __init__(
+        self,
+        degree: int = 2,
+        alpha: float = 1.0,
+        route_specific: bool = False,
+    ):
+        """
+        Args:
+            degree: Polynomial degree (1, 2, or 3 recommended)
+            alpha: Ridge regression alpha (regularization strength)
+            route_specific: Whether to fit separate model per route
+        """
+        self.degree = degree
+        self.alpha = alpha
+        self.route_specific = route_specific
+        self.models: Dict[str, Pipeline] = {}  # route_id -> fitted pipeline
+        self.global_model: Optional[Pipeline] = None
+        self.feature_cols = ["distance_to_stop"]
+
+    # ── internal ──────────────────────────────────────────────────────────────
+
+    def _create_pipeline(self) -> Pipeline:
+        return Pipeline(
+            [
+                ("poly", PolynomialFeatures(degree=self.degree, include_bias=True)),
+                ("ridge", Ridge(alpha=self.alpha)),
+            ]
+        )
+
+    # ── public API ────────────────────────────────────────────────────────────
+
+    def fit(
+        self,
+        train_df: pd.DataFrame,
+        target_col: str = "time_to_arrival_seconds",
+    ) -> "PolyRegDistanceModel":
+        """
+        Train model(s).
+
+        Args:
+            train_df: DataFrame with at least 'distance_to_stop' and target_col.
+                      Also needs 'route_id' when route_specific=True.
+            target_col: Name of the target column.
+
+        Returns:
+            self (for chaining)
+        """
+        if "distance_to_stop" not in train_df.columns:
+            raise ValueError("'distance_to_stop' column required in train_df")
+
+        if self.route_specific:
+            for route_id, route_df in train_df.groupby("route_id"):
+                X = route_df[["distance_to_stop"]].values
+                y = route_df[target_col].values
+                model = self._create_pipeline()
+                model.fit(X, y)
+                self.models[route_id] = model
+        else:
+            X = train_df[["distance_to_stop"]].values
+            y = train_df[target_col].values
+            self.global_model = self._create_pipeline()
+            self.global_model.fit(X, y)
+
+        return self
+
+    def predict(self, X: pd.DataFrame) -> np.ndarray:
+        """
+        Predict ETAs (seconds).
+
+        Args:
+            X: DataFrame with 'distance_to_stop' (and 'route_id' when route_specific).
+
+        Returns:
+            1-D numpy array of predicted ETAs, clipped to [0, 7200] seconds.
+        """
+        if self.route_specific:
+            if "route_id" not in X.columns:
+                raise ValueError("'route_id' required for route-specific model")
+
+            predictions = np.zeros(len(X))
+            X_reset = X.reset_index(drop=True)
+
+            for route_id, route_df in X_reset.groupby("route_id"):
+                pos_indices = route_df.index.values
+                X_route = route_df[["distance_to_stop"]].values
+
+                if route_id in self.models:
+                    predictions[pos_indices] = self.models[route_id].predict(X_route)
+                elif self.global_model is not None:
+                    predictions[pos_indices] = self.global_model.predict(X_route)
+                else:
+                    # fallback: rough 30 km/h
+                    predictions[pos_indices] = X_route.flatten() / 30_000 * 3_600
+        else:
+            if self.global_model is None:
+                raise ValueError("Model has not been trained — call fit() first")
+            X_dist = X[["distance_to_stop"]].values
+            predictions = self.global_model.predict(X_dist)
+
+        return clip_predictions(predictions)
+
+    def get_coefficients(self, route_id: Optional[str] = None) -> Dict:
+        """
+        Return ridge coefficients for the given route (or the global model).
+        """
+        if route_id and route_id in self.models:
+            model = self.models[route_id]
+        elif self.global_model:
+            model = self.global_model
+        else:
+            return {}
+
+        coefs = model.named_steps["ridge"].coef_
+        intercept = model.named_steps["ridge"].intercept_
+        return {
+            "intercept": float(intercept),
+            "coefficients": coefs.tolist(),
+            "degree": self.degree,
+        }
diff --git a/backend/gtfs-eta/gtfs_eta/models/polyreg_distance/predict.py b/backend/gtfs-eta/gtfs_eta/models/polyreg_distance/predict.py
new file mode 100644
index 0000000..6732056
--- /dev/null
+++ b/backend/gtfs-eta/gtfs_eta/models/polyreg_distance/predict.py
@@ -0,0 +1,60 @@
+"""
+Prediction interface for the Polynomial Regression Distance model.
+
+Ported from eta_prediction/models/polyreg_distance/predict.py on branch
+feature/eta_prediction with the following changes:
+  - sys.path hacks removed.
+  - Imports rewritten to absolute gtfs_eta.* paths.
+"""
+
+from typing import Dict, Optional
+
+import pandas as pd
+
+from gtfs_eta.models.common.registry import get_registry
+from gtfs_eta.models.common.utils import format_seconds
+
+
+def predict_eta(
+    model_key: str,
+    distance_to_stop: float,
+    route_id: Optional[str] = None,
+) -> Dict:
+    """
+    Predict ETA using a polynomial regression distance model.
+
+    Args:
+        model_key: Model identifier in the registry.
+        distance_to_stop: Distance to the stop in metres.
+        route_id: Route ID — required for route-specific models.
+
+    Returns:
+        Dict with eta_seconds, eta_minutes, eta_formatted, model_key,
+        model_type, distance_to_stop_m, route_specific, degree, coefficients.
+    """
+    registry = get_registry()
+    model = registry.load_model(model_key)
+    metadata = registry.load_metadata(model_key)
+
+    input_data: Dict = {"distance_to_stop": [distance_to_stop]}
+    if model.route_specific:
+        if route_id is None:
+            raise ValueError("route_id is required for a route-specific model")
+        input_data["route_id"] = [route_id]
+
+    input_df = pd.DataFrame(input_data)
+    eta_seconds = float(model.predict(input_df)[0])
+
+    coefs = model.get_coefficients(route_id if model.route_specific else None)
+
+    return {
+        "eta_seconds": eta_seconds,
+        "eta_minutes": eta_seconds / 60.0,
+        "eta_formatted": format_seconds(eta_seconds),
+        "model_key": model_key,
+        "model_type": "polyreg_distance",
+        "distance_to_stop_m": distance_to_stop,
+        "route_specific": metadata.get("route_specific", False),
+        "degree": metadata.get("degree"),
+        "coefficients": coefs,
+    }
diff --git a/backend/gtfs-eta/gtfs_eta/seed_baseline_model.py b/backend/gtfs-eta/gtfs_eta/seed_baseline_model.py
new file mode 100644
index 0000000..01a875e
--- /dev/null
+++ b/backend/gtfs-eta/gtfs_eta/seed_baseline_model.py
@@ -0,0 +1,94 @@
+"""
+seed_baseline_model.py — seed ONE global polyreg_distance model into the registry.
+
+Usage:
+    export MODEL_REGISTRY_DIR=/tmp/gtfs_eta_registry
+    python gtfs_eta/seed_baseline_model.py
+
+The script:
+  1. Builds synthetic constant-speed data (distance / 4.5 m/s ≈ urban bus avg).
+  2. Fits a PolyRegDistanceModel(degree=1, alpha=1.0, route_specific=False).
+  3. Saves it to the registry with the key 'polyreg_distance_global_baseline_v0'.
+
+MODEL_REGISTRY_DIR is read by the registry singleton; set it before running.
+"""
+
+import os
+import sys
+
+import numpy as np
+import pandas as pd
+
+# Allow running as a top-level script from the repo root
+_HERE = os.path.dirname(os.path.abspath(__file__))
+_REPO_ROOT = os.path.dirname(_HERE)
+if _REPO_ROOT not in sys.path:
+    sys.path.insert(0, _REPO_ROOT)
+
+from gtfs_eta.models.polyreg_distance.model import PolyRegDistanceModel
+from gtfs_eta.models.common.registry import get_registry
+
+# ── Constants ─────────────────────────────────────────────────────────────────
+
+MODEL_KEY = "polyreg_distance_global_baseline_v0"
+SPEED_M_S = 4.5          # urban bus average including dwell time
+N_SAMPLES = 1_000
+DISTANCE_MAX_M = 3_000
+NOISE_STD_S = 10.0       # small gaussian noise on arrival time
+RANDOM_SEED = 42
+
+
+def main() -> None:
+    rng = np.random.default_rng(RANDOM_SEED)
+
+    # Synthetic training data
+    distances = rng.uniform(0, DISTANCE_MAX_M, size=N_SAMPLES)
+    times = distances / SPEED_M_S + rng.normal(0, NOISE_STD_S, size=N_SAMPLES)
+    times = np.clip(times, 0, None)  # no negative travel times
+
+    train_df = pd.DataFrame(
+        {
+            "distance_to_stop": distances,
+            "time_to_arrival_seconds": times,
+        }
+    )
+
+    # Build and fit model
+    model = PolyRegDistanceModel(degree=1, alpha=1.0, route_specific=False)
+    model.fit(train_df)
+
+    # Verify that the global model path is available (used by predict())
+    assert model.global_model is not None, "global_model should be set after fit()"
+
+    # Quick sanity check: ETA at 1000 m should be ~222 s
+    _check_df = pd.DataFrame({"distance_to_stop": [1000.0]})
+    eta_check = float(model.predict(_check_df)[0])
+    expected = 1000.0 / SPEED_M_S
+    assert abs(eta_check - expected) < 60, (
+        f"Sanity check failed: predicted {eta_check:.1f}s, expected ~{expected:.1f}s"
+    )
+
+    # Metadata (get_best_model requires metrics.test_mae_seconds to be
+    # present and non-None)
+    metadata = {
+        "model_type": "polyreg_distance",
+        "route_id": None,           # None → registered as GLOBAL
+        "route_specific": False,
+        "degree": 1,
+        "alpha": 1.0,
+        "dataset": "synthetic_constant_speed",
+        "n_samples": N_SAMPLES,
+        "metrics": {
+            "test_mae_seconds": 30.0,
+            "test_mae_minutes": 0.5,
+        },
+    }
+
+    registry = get_registry()
+    model_path = registry.save_model(MODEL_KEY, model, metadata, overwrite=True)
+    print(f"Seeded model '{MODEL_KEY}' -> {model_path}")
+    print(f"Registry dir: {registry.base_dir}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/backend/gtfs-eta/pyproject.toml b/backend/gtfs-eta/pyproject.toml
new file mode 100644
index 0000000..e14765e
--- /dev/null
+++ b/backend/gtfs-eta/pyproject.toml
@@ -0,0 +1,22 @@
+[build-system]
+requires = ["setuptools>=68", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "gtfs-eta"
+version = "0.1.0"
+description = "Namespaced ETA-prediction inference package for the SIMOVI databus"
+requires-python = ">=3.11"
+dependencies = [
+    "numpy>=1.26",
+    "pandas>=2.3",
+    "scikit-learn>=1.7",
+    "holidays>=0.40",
+]
+
+[project.optional-dependencies]
+xgboost = ["xgboost>=3.1"]
+
+[tool.setuptools.packages.find]
+where = ["."]
+include = ["gtfs_eta*"]
diff --git a/backend/pyproject.toml b/backend/pyproject.toml
index 38a8d0c..dffe940 100644
--- a/backend/pyproject.toml
+++ b/backend/pyproject.toml
@@ -19,6 +19,7 @@ dependencies = [
     "flower>=2.0.1",
     "geopandas>=1.1.1",
     "gtfs-django",
+    "gtfs-eta",
     "gtfs-io",
     "gtfs-realtime-bindings>=1.0.0",
     "gunicorn>=23.0.0",
@@ -47,8 +48,10 @@ dev = [
 members = [
     "gtfs-io",
     "gtfs-django",
+    "gtfs-eta",
 ]
 
 [tool.uv.sources]
+gtfs-eta = { workspace = true, editable = true }
 gtfs-io = { workspace = true, editable = true }
 gtfs-django = { workspace = true, editable = true }
diff --git a/backend/uv.lock b/backend/uv.lock
index 7c253d4..9fdfb4f 100644
--- a/backend/uv.lock
+++ b/backend/uv.lock
@@ -14,6 +14,7 @@ resolution-markers = [
 members = [
     "databus",
     "gtfs-django",
+    "gtfs-eta",
     "gtfs-io",
 ]
 
@@ -696,6 +697,7 @@ dependencies = [
     { name = "flower" },
     { name = "geopandas" },
     { name = "gtfs-django" },
+    { name = "gtfs-eta" },
     { name = "gtfs-io" },
     { name = "gtfs-realtime-bindings" },
     { name = "gunicorn" },
@@ -736,6 +738,7 @@ requires-dist = [
     { name = "flower", specifier = ">=2.0.1" },
     { name = "geopandas", specifier = ">=1.1.1" },
     { name = "gtfs-django", editable = "gtfs-django" },
+    { name = "gtfs-eta", editable = "gtfs-eta" },
     { name = "gtfs-io", editable = "gtfs-io" },
     { name = "gtfs-realtime-bindings", specifier = ">=1.0.0" },
     { name = "gunicorn", specifier = ">=23.0.0" },
@@ -1202,6 +1205,32 @@ testing = [
     { name = "tox", specifier = ">=4.30.2" },
 ]
 
+[[package]]
+name = "gtfs-eta"
+version = "0.1.0"
+source = { editable = "gtfs-eta" }
+dependencies = [
+    { name = "holidays" },
+    { name = "numpy" },
+    { name = "pandas" },
+    { name = "scikit-learn" },
+]
+
+[package.optional-dependencies]
+xgboost = [
+    { name = "xgboost" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "holidays", specifier = ">=0.40" },
+    { name = "numpy", specifier = ">=1.26" },
+    { name = "pandas", specifier = ">=2.3" },
+    { name = "scikit-learn", specifier = ">=1.7" },
+    { name = "xgboost", marker = "extra == 'xgboost'", specifier = ">=3.1" },
+]
+provides-extras = ["xgboost"]
+
 [[package]]
 name = "gtfs-io"
 version = "0.0.1"
@@ -1267,6 +1296,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/69/b2/119f6e6dcbd96f9069ce9a2665e0146588dc9f88f29549711853645e736a/h2-4.3.0-py3-none-any.whl", hash = "sha256:c438f029a25f7945c69e0ccf0fb951dc3f73a5f6412981daee861431b70e2bdd", size = 61779, upload-time = "2025-08-23T18:12:17.779Z" },
 ]
 
+[[package]]
+name = "holidays"
+version = "0.99"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "python-dateutil" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/37/69/7626f743128513c919ed058530d62a86902099532a86222260b0cfc70d7c/holidays-0.99.tar.gz", hash = "sha256:9ef8278cdfb67dbd93309ec9b30c30609ab35fd57cb207ce4593f80dc91196f5", size = 931630, upload-time = "2026-06-15T20:39:42.38Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3f/f9/263e875ca954c44dbd29000a840b43bf875fbf4fdacf9430cd8fc92ad45e/holidays-0.99-py3-none-any.whl", hash = "sha256:bc47cefa781dbc6415e782767dea013794146cc629845354b393c53cdee90c64", size = 1503023, upload-time = "2026-06-15T20:39:40.575Z" },
+]
+
 [[package]]
 name = "hpack"
 version = "4.1.0"
@@ -1403,6 +1444,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/26/b4/08c9d297edd5e1182506edecccbb88a92e1122a057953068cadac420ca5d/jinja2_humanize_extension-0.4.0-py3-none-any.whl", hash = "sha256:b6326e2da0f7d425338bebf58848e830421defbce785f12ae812e65128518156", size = 4769, upload-time = "2023-09-01T12:52:41.098Z" },
 ]
 
+[[package]]
+name = "joblib"
+version = "1.5.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/41/f2/d34e8b3a08a9cc79a50b2208a93dce981fe615b64d5a4d4abee421d898df/joblib-1.5.3.tar.gz", hash = "sha256:8561a3269e6801106863fd0d6d84bb737be9e7631e33aaed3fb9ce5953688da3", size = 331603, upload-time = "2025-12-15T08:41:46.427Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/7b/91/984aca2ec129e2757d1e4e3c81c3fcda9d0f85b74670a094cc443d9ee949/joblib-1.5.3-py3-none-any.whl", hash = "sha256:5fc3c5039fc5ca8c0276333a188bbd59d6b7ab37fe6632daa76bc7f9ec18e713", size = 309071, upload-time = "2025-12-15T08:41:44.973Z" },
+]
+
 [[package]]
 name = "jsonpatch"
 version = "1.33"
@@ -1760,6 +1810,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/79/7b/2c79738432f5c924bef5071f933bcc9efd0473bac3b4aa584a6f7c1c8df8/mypy_extensions-1.1.0-py3-none-any.whl", hash = "sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505", size = 4963, upload-time = "2025-04-22T14:54:22.983Z" },
 ]
 
+[[package]]
+name = "narwhals"
+version = "2.22.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/62/3c/c4ef2164a71c1a63d7f1ae411c4082c5fa872405106db60a4b7114989ad7/narwhals-2.22.1.tar.gz", hash = "sha256:d62920805a0a43b7ff8b54b0c0d3142d796f8a9301836ada37e573d6a33cbcd9", size = 647493, upload-time = "2026-06-05T12:34:34.051Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/48/ca/36339329c4604adbcc99c899b7eb1ce1a555c499b6a6860757dc9bfed36d/narwhals-2.22.1-py3-none-any.whl", hash = "sha256:60567d774edf77db53906f89d9fbd164e66e56d66d388e1e6990f17ac33cfb53", size = 454815, upload-time = "2026-06-05T12:34:32.289Z" },
+]
+
 [[package]]
 name = "numpy"
 version = "2.4.6"
@@ -1789,6 +1848,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/43/bb/e1c71a4295b1b1d1393d50dbb4f2a36283c6859d9d3892e84f00ec5a91d5/numpy-2.4.6-cp314-cp314t-win_arm64.whl", hash = "sha256:0c9136e14ed34a9e343a31c533d78a9813a69a3148332bce5e9821cb2f996e66", size = 10565867, upload-time = "2026-05-18T23:36:47.114Z" },
 ]
 
+[[package]]
+name = "nvidia-nccl-cu12"
+version = "2.30.7"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/8f/8c/554bb020501d6c04ad8127d83f728137f8f9123f991666efbdcf9095a221/nvidia_nccl_cu12-2.30.7-py3-none-manylinux_2_18_aarch64.whl", hash = "sha256:03ecd776fd1d58fd2c9a0a687dcf8db9ecd0057382dba646fa3d65786d4a9ea1", size = 303277471, upload-time = "2026-06-09T03:24:16.327Z" },
+    { url = "https://files.pythonhosted.org/packages/50/32/e7ffa9c324ae260e5dbb4af2cd557bf7a8d155c8ac7b79a785fe1796fb92/nvidia_nccl_cu12-2.30.7-py3-none-manylinux_2_18_x86_64.whl", hash = "sha256:8ce1b8213f61f2bfac132e6df890af6450b77cbd140c6ce4e98cb0c2d8e678c9", size = 303361239, upload-time = "2026-06-09T03:24:53.816Z" },
+]
+
 [[package]]
 name = "oauthlib"
 version = "3.3.1"
@@ -2744,6 +2812,64 @@ wheels = [
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 ]
 
+[[package]]
+name = "scikit-learn"
+version = "1.9.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "joblib" },
+    { name = "narwhals" },
+    { name = "numpy" },
+    { name = "scipy" },
+    { name = "threadpoolctl" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/fa/6f/37092bdb25f712817231799fc5674d8e704066a8a70c1d2d40517e18b4ab/scikit_learn-1.9.0.tar.gz", hash = "sha256:8833266989d3a5110178a9fae30783675460724d0e1efb13b14901d2c660c557", size = 7750767, upload-time = "2026-06-02T11:54:32.706Z" }
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+    { url = "https://files.pythonhosted.org/packages/31/8e/f04c68e39919a010d34f2ee1367fd705b0a25a02f609d755f0bfbc0a15fc/scipy-1.18.0-cp314-cp314t-win_amd64.whl", hash = "sha256:e40baea28ae7f5475c779741e2d90b1247c78531207b49c7030e698ff81cee3f", size = 37365390, upload-time = "2026-06-19T15:01:38.091Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/19/969dc072906c84dd0a3b05dcf57ea750936087d7873549e408b35cfc3f97/scipy-1.18.0-cp314-cp314t-win_arm64.whl", hash = "sha256:368e0a705903c466aa5f08eefb39e6b1b6b2d659e7352a31fd9e2438365be0f8", size = 25279661, upload-time = "2026-06-19T15:01:40.817Z" },
+]
+
 [[package]]
 name = "semver"
 version = "3.0.4"
@@ -2883,6 +3009,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/a6/a5/c0b6468d3824fe3fde30dbb5e1f687b291608f9473681bbf7dabbf5a87d7/text_unidecode-1.3-py2.py3-none-any.whl", hash = "sha256:1311f10e8b895935241623731c2ba64f4c455287888b18189350b67134a822e8", size = 78154, upload-time = "2019-08-30T21:37:03.543Z" },
 ]
 
+[[package]]
+name = "threadpoolctl"
+version = "3.6.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/b7/4d/08c89e34946fce2aec4fbb45c9016efd5f4d7f24af8e5d93296e935631d8/threadpoolctl-3.6.0.tar.gz", hash = "sha256:8ab8b4aa3491d812b623328249fab5302a68d2d71745c8a4c719a2fcaba9f44e", size = 21274, upload-time = "2025-03-13T13:49:23.031Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/32/d5/f9a850d79b0851d1d4ef6456097579a9005b31fea68726a4ae5f2d82ddd9/threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb", size = 18638, upload-time = "2025-03-13T13:49:21.846Z" },
+]
+
 [[package]]
 name = "toml"
 version = "0.10.2"
@@ -3311,6 +3446,24 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/ed/b5/38fba836844233b961a0026d96f39f893eab63757e7757fd1d16fb02aa80/whenever-0.10.0-py3-none-any.whl", hash = "sha256:70feda454af6b2c231abd428b9430cd75492a000ca1d1edc42976d6fea265eec", size = 119264, upload-time = "2026-04-05T18:43:48.077Z" },
 ]
 
+[[package]]
+name = "xgboost"
+version = "3.3.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+    { name = "nvidia-nccl-cu12", marker = "sys_platform == 'linux'" },
+    { name = "scipy" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/fd/41/846d4de2b8fc694073fd3ac5052caf68caa1ea11cb7fa32d7ad9c049b232/xgboost-3.3.0.tar.gz", hash = "sha256:58bcb8a4cace648cdab7b94fa4f16d2c9ff26d90dd4d26907168106fa06d8746", size = 1224702, upload-time = "2026-06-17T21:26:50.846Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/fc/72/3b68983c0215ef65d48e9eeb1f168c3c6e3d62a61ece605de3209c79cae1/xgboost-3.3.0-py3-none-macosx_10_15_x86_64.whl", hash = "sha256:07688a377046b8640897b62421150bf73c6cc7101823474ec6ad08b93290f587", size = 2553505, upload-time = "2026-06-17T21:21:32.146Z" },
+    { url = "https://files.pythonhosted.org/packages/c9/62/b49e756822b29909d0c95ed334662dc6c7c81a99ec6bc10dc18e69f3d6e7/xgboost-3.3.0-py3-none-macosx_12_0_arm64.whl", hash = "sha256:af7cea10f418b7c251ddc8da440f57bdab2990b5fc9f74a35a92b0f150ea287d", size = 2376040, upload-time = "2026-06-17T21:22:01.981Z" },
+    { url = "https://files.pythonhosted.org/packages/47/3a/a0adcd1ee28f525bd5c9dc3ebe78a7599bf97c22866d6449f967b829e338/xgboost-3.3.0-py3-none-manylinux_2_28_aarch64.whl", hash = "sha256:624a83aeb1e7ba081719795db179f4ce6fff12e79de05cd9baf15ee48fd22f0e", size = 98180629, upload-time = "2026-06-17T21:24:00.804Z" },
+    { url = "https://files.pythonhosted.org/packages/47/1f/8b3e578cfd8e3bcdb4374e2bbe0b40b4e5320accb5cbdcf535ecc512eb5c/xgboost-3.3.0-py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:f59edaf28eccd1c519788607c72ed907ee6cedfa933d706620bc1612d24b354e", size = 98716607, upload-time = "2026-06-17T21:26:21.058Z" },
+    { url = "https://files.pythonhosted.org/packages/07/6b/087fd5d28fdbb90d385c50ee9308a820241b82feebdf42e72e19a48e4b32/xgboost-3.3.0-py3-none-win_amd64.whl", hash = "sha256:b06057f6a018fc04e6b3e0c15568ca636b8151a5b5f333478e500fcaf4fc7594", size = 69522696, upload-time = "2026-06-17T21:20:53.707Z" },
+]
+
 [[package]]
 name = "zensical"
 version = "0.0.43"

From 3ccfe14ff7687a37f7a4462871adaf8ec3871421 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Thu, 25 Jun 2026 12:13:45 -0600
Subject: [PATCH 02/68] chore(eta): add placeholder global baseline model for
 dev/test

Deterministic synthetic baseline (polyreg_distance, global) so the stop-time
producer runs end-to-end on a fresh checkout without a trained model. Kept as a
standalone commit so it is trivial to drop once the retraining suite supplies
real models. Regenerate with: python -m gtfs_eta.seed_baseline_model.
---
 .../polyreg_distance_global_baseline_v0.pkl     | Bin 0 -> 946 bytes
 ...olyreg_distance_global_baseline_v0_meta.json |  16 ++++++++++++++++
 backend/eta_models/registry.json                |  10 ++++++++++
 3 files changed, 26 insertions(+)
 create mode 100644 backend/eta_models/polyreg_distance_global_baseline_v0.pkl
 create mode 100644 backend/eta_models/polyreg_distance_global_baseline_v0_meta.json
 create mode 100644 backend/eta_models/registry.json

diff --git a/backend/eta_models/polyreg_distance_global_baseline_v0.pkl b/backend/eta_models/polyreg_distance_global_baseline_v0.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..f5334bf8defa01aa7f68a1d3256f92d15590e409
GIT binary patch
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literal 0
HcmV?d00001

diff --git a/backend/eta_models/polyreg_distance_global_baseline_v0_meta.json b/backend/eta_models/polyreg_distance_global_baseline_v0_meta.json
new file mode 100644
index 0000000..628190a
--- /dev/null
+++ b/backend/eta_models/polyreg_distance_global_baseline_v0_meta.json
@@ -0,0 +1,16 @@
+{
+  "model_type": "polyreg_distance",
+  "route_id": null,
+  "route_specific": false,
+  "degree": 1,
+  "alpha": 1.0,
+  "dataset": "synthetic_constant_speed",
+  "n_samples": 1000,
+  "metrics": {
+    "test_mae_seconds": 30.0,
+    "test_mae_minutes": 0.5
+  },
+  "model_key": "polyreg_distance_global_baseline_v0",
+  "saved_at": "2026-06-25T18:06:35.423137",
+  "model_path": "polyreg_distance_global_baseline_v0.pkl"
+}
\ No newline at end of file
diff --git a/backend/eta_models/registry.json b/backend/eta_models/registry.json
new file mode 100644
index 0000000..749de3d
--- /dev/null
+++ b/backend/eta_models/registry.json
@@ -0,0 +1,10 @@
+{
+  "polyreg_distance_global_baseline_v0": {
+    "model_path": "polyreg_distance_global_baseline_v0.pkl",
+    "meta_path": "polyreg_distance_global_baseline_v0_meta.json",
+    "saved_at": "2026-06-25T18:06:35.423137",
+    "model_type": "polyreg_distance",
+    "route_id": null,
+    "dataset": "synthetic_constant_speed"
+  }
+}
\ No newline at end of file

From 46f226fd0d83bb1e620443f5c7967d33df458782 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Thu, 25 Jun 2026 12:13:45 -0600
Subject: [PATCH 03/68] feat(eta): generate stop-time updates from ETA
 predictions

Replace the fake_stop_times placeholder with a real producer that calls
gtfs_eta.estimate_stop_times. Pure/impure split: compute_stop_time_updates
derives contract entries from run state + shape geometry; produce_stop_times
does the Redis I/O. Upcoming stops come from the monotonic shape geometry and
distances feed the estimator's precomputed-distance hook, fixing duplicate
stop_sequences and the non-decreasing upcoming count. Builder sorts/dedups
StopTimeUpdate entries defensively. New config: MODEL_REGISTRY_DIR,
ETA_MAX_STOPS, ETA_DEFAULT_UNCERTAINTY_S.
---
 .env.dev                                      |   7 +-
 .env.example                                  |   8 +-
 backend/runs/domain/progression/stop_times.py | 319 +++++++++++++++---
 backend/schedule_engine/builders.py           |  14 +-
 4 files changed, 303 insertions(+), 45 deletions(-)

diff --git a/.env.dev b/.env.dev
index f216c37..2dce194 100644
--- a/.env.dev
+++ b/.env.dev
@@ -3,4 +3,9 @@ DEBUG=True
 DJANGO_SERVE_STATIC=True
 LOG_LEVEL=DEBUG
 CREATE_SUPERUSER=True
-RUN_MIGRATIONS=True
\ No newline at end of file
+RUN_MIGRATIONS=True
+
+# ETA model registry (dev default; seed once with seed_baseline_model)
+MODEL_REGISTRY_DIR=eta_models
+ETA_MAX_STOPS=10
+ETA_DEFAULT_UNCERTAINTY_S=120
\ No newline at end of file
diff --git a/.env.example b/.env.example
index c14044e..6da2348 100644
--- a/.env.example
+++ b/.env.example
@@ -54,4 +54,10 @@ FLOWER_DOMAIN=tasks.databus.simovilab.com
 DOCS_DOMAIN=docs.databus.simovilab.com
 
 # Certificate in production
-CERT_RESOLVER=letsencrypt
\ No newline at end of file
+CERT_RESOLVER=letsencrypt
+
+# ETA model registry (used by gtfs_eta; set to a writable directory)
+# Seed the baseline model once: MODEL_REGISTRY_DIR=eta_models ./.venv/bin/python -m gtfs_eta.seed_baseline_model
+MODEL_REGISTRY_DIR=eta_models
+ETA_MAX_STOPS=3
+ETA_DEFAULT_UNCERTAINTY_S=120
\ No newline at end of file
diff --git a/backend/runs/domain/progression/stop_times.py b/backend/runs/domain/progression/stop_times.py
index c02eb01..335d974 100644
--- a/backend/runs/domain/progression/stop_times.py
+++ b/backend/runs/domain/progression/stop_times.py
@@ -1,36 +1,54 @@
-"""Redis glue for the server-side stop-time-updates producer (seam / placeholder).
+"""Real ETA stop-time-updates producer — impure/pure split.
 
-This module is the impure counterpart to the pure computation in
-``schedule_engine/fake_stop_times.py``.  It reads from Redis, delegates to the
-existing fake builder, maps the fake output to the typed contract, and writes the
-projection back to Redis as a JSON string under ``run:<run_id>:stop_time_updates``.
+Pure computation lives in :func:`compute_stop_time_updates`; all Redis I/O
+lives in :func:`produce_stop_times`.  The split mirrors
+``compute.py`` / ``producer.py`` in this package.
 
-Called by ``realtime_engine/mqtt.py`` after every successful position write so
-that ``run:<run_id>:stop_time_updates`` is kept current for the GTFS-RT builder.
+Called by ``realtime_engine/tasks.py`` after every successful position write
+so that ``run:<run_id>:stop_time_updates`` is kept current for the GTFS-RT
+builder.
 
-The Redis client mirrors the pattern used in ``producer.py``: module-level client
-configured from environment variables.
-
-Do NOT export ``produce_stop_times`` from ``runs.domain.progression.__init__``.
-Import it by full module path::
-
-    from runs.domain.progression.stop_times import produce_stop_times
+Environment variables
+---------------------
+MODEL_REGISTRY_DIR
+    Directory where the ETA model registry is stored.  Read by
+    ``gtfs_eta`` itself from the environment — just set it before
+    starting the worker.  Example: ``eta_models/``.
+ETA_MAX_STOPS
+    Maximum number of upcoming stops to predict.  Default: 3.
+ETA_DEFAULT_UNCERTAINTY_S
+    Uncertainty value (seconds) attached to every predicted arrival.
+    Default: 120.
 """
 
 import logging
 import os
+from datetime import datetime, timezone
 
 import redis
 
-from runs.domain.telemetry import keys, stop_time_updates
+from runs.domain.telemetry import keys, position, stop_time_updates, vehicle_stop_status
+from runs.domain.progression.geo import project_point_to_polyline
+from runs.domain.progression.shapes import ShapeGeometry, get_shape_geometry
 
 logger = logging.getLogger(__name__)
 
-# Comfortably above the position-update interval (~1-5 s) so a stalled producer
-# expires the projection instead of serving stale arrivals; run lifecycle still
-# owns hard cleanup.
+# ---------------------------------------------------------------------------
+# Module-level config
+# ---------------------------------------------------------------------------
+
+# Comfortably above the position-update interval (~1-5 s) so a stalled
+# producer expires the projection instead of serving stale arrivals; run
+# lifecycle still owns hard cleanup.
 STOP_TIME_UPDATES_TTL_S = 60
 
+# Maximum upcoming stops to pass to the estimator per position tick.
+ETA_MAX_STOPS = int(os.getenv("ETA_MAX_STOPS", "3"))
+
+# Uncertainty (seconds) attached to every prediction.  Passed through to the
+# GTFS-RT feed; callers (e.g. apps) can use it for confidence UX.
+ETA_DEFAULT_UNCERTAINTY_S = int(os.getenv("ETA_DEFAULT_UNCERTAINTY_S", "120"))
+
 r = redis.Redis(
     host=os.getenv("REDIS_HOST", "state"),
     port=int(os.getenv("REDIS_PORT", "6379")),
@@ -39,45 +57,262 @@
 )
 
 
-def produce_stop_times(run_id: str, vehicle_id: str) -> None:  # noqa: ARG001
-    """Derive and write ``run:<run_id>:stop_time_updates`` from the current run state.
+# ---------------------------------------------------------------------------
+# Pure helper
+# ---------------------------------------------------------------------------
 
-    Reads the run hash and the current stop-status progression hash from Redis,
-    delegates to the fake stop-time builder, maps each fake entry to the typed
-    contract, and writes the JSON projection back to Redis with a staleness TTL.
 
-    Returns immediately without writing anything if the run hash is absent (nothing
-    to derive from).
+def compute_stop_time_updates(
+    *,
+    run_hash: dict,
+    position: dict,
+    stop_status: dict,
+    geom: ShapeGeometry,
+    max_stops: int = ETA_MAX_STOPS,
+    default_uncertainty_s: int = ETA_DEFAULT_UNCERTAINTY_S,
+) -> list[dict]:
+    """Derive stop-time-update contract entries from run state and geometry.
+
+    Pure: no Redis, no ORM, no side effects.  The ``geom`` is passed in so
+    the caller can decide when to skip (and leave last-good in Redis to TTL).
+
+    Parameters
+    ----------
+    run_hash:
+        Raw Redis hash for ``run:<run_id>`` — all string values.
+    position:
+        Typed position dict as returned by ``position.from_redis``.
+        Keys: ``latitude``, ``longitude``, optionally ``speed``, ``timestamp``.
+    stop_status:
+        Typed stop-status dict as returned by ``vehicle_stop_status.from_redis``.
+    geom:
+        Pre-loaded :class:`ShapeGeometry` for the trip's shape.
+    max_stops:
+        Maximum number of upcoming stops to predict.
+    default_uncertainty_s:
+        Uncertainty (seconds) attached to every predicted arrival.
+
+    Returns
+    -------
+    list[dict]
+        Zero or more contract dicts, each with exactly the five fields
+        required by :func:`stop_time_updates.to_redis`:
+        ``stop_sequence``, ``stop_id``, ``arrival_time``,
+        ``departure_time``, ``uncertainty``.
+        Empty list when no predictions are available or the estimator
+        returns a top-level error.
+    """
+    # ------------------------------------------------------------------
+    # 1. Determine current stop sequence and status
+    # ------------------------------------------------------------------
+    current_stop_sequence: int = stop_status.get(
+        vehicle_stop_status.CURRENT_STOP_SEQUENCE, 0
+    ) or 0
+    status: str = stop_status.get(vehicle_stop_status.CURRENT_STATUS, "")
+
+    # ------------------------------------------------------------------
+    # 2. Project vehicle onto polyline → vehicle_progress_m
+    # ------------------------------------------------------------------
+    lat = position.get("latitude")
+    lon = position.get("longitude")
+    if lat is None or lon is None:
+        return []
+
+    proj = project_point_to_polyline(float(lat), float(lon), list(geom.polyline))
+    vehicle_progress_m: float = proj["progress_m"]
+
+    # ------------------------------------------------------------------
+    # 3. Build upcoming_stops list (filter by sequence, compute distances)
+    # ------------------------------------------------------------------
+    upcoming_stops: list[dict] = []
+    for stop in geom.stops:
+        seq: int = stop["stop_sequence"]
+        if status == "STOPPED_AT":
+            if seq <= current_stop_sequence:
+                continue
+        else:
+            if seq < current_stop_sequence:
+                continue
+        shape_dist = max(0.0, stop["progress_m"] - vehicle_progress_m)
+        upcoming_stops.append(
+            {
+                "stop_id": stop["stop_id"],
+                "stop_sequence": seq,
+                "lat": stop["lat"],
+                "lon": stop["lon"],
+                "total_stop_sequence": len(geom.stops),
+                "shape_distance_to_stop": shape_dist,
+            }
+        )
+
+    if not upcoming_stops:
+        return []
+
+    # ------------------------------------------------------------------
+    # 4. Build vehicle_position dict in estimator contract format
+    # ------------------------------------------------------------------
+    raw_ts = position.get("timestamp")
+    if raw_ts is not None:
+        ts_iso = datetime.fromtimestamp(int(raw_ts), tz=timezone.utc).isoformat()
+    else:
+        ts_iso = datetime.now(tz=timezone.utc).isoformat()
+
+    vehicle_position = {
+        "vehicle_id": run_hash.get("vehicle", ""),
+        "lat": float(lat),
+        "lon": float(lon),
+        "speed": float(position.get("speed", 0.0) or 0.0),
+        "timestamp": ts_iso,
+        "route": run_hash.get("route_id", ""),
+    }
+
+    # ------------------------------------------------------------------
+    # 5. Build ShapePolyline for the estimator (lazy import → clean startup)
+    # ------------------------------------------------------------------
+    from gtfs_eta.feature_engineering.spatial import ShapePolyline  # noqa: PLC0415
+
+    shape = ShapePolyline([(pt[0], pt[1]) for pt in geom.polyline])
+
+    # ------------------------------------------------------------------
+    # 6. Call estimator (lazy import keeps Django startup clean).
+    # We import the *module* and call via attribute so tests can patch
+    # ``gtfs_eta.eta_service.estimator.estimate_stop_times`` reliably.
+    # ------------------------------------------------------------------
+    import gtfs_eta.eta_service.estimator as _estimator_mod  # noqa: PLC0415
+
+    result = _estimator_mod.estimate_stop_times(
+        vehicle_position,
+        upcoming_stops,
+        route_id=run_hash.get("route_id"),
+        trip_id=run_hash.get("trip_id"),
+        prefer_route_model=True,
+        max_stops=max_stops,
+        shape=shape,
+    )
+
+    # Top-level error or empty predictions → safe to return []
+    if result.get("error") or not result.get("predictions"):
+        if result.get("error"):
+            logger.debug(
+                "compute_stop_time_updates: estimator error: %s", result["error"]
+            )
+        return []
+
+    # ------------------------------------------------------------------
+    # 7. Output adapter: predictions → contract dicts
+    # ------------------------------------------------------------------
+    entries: list[dict] = []
+    for pred in result["predictions"]:
+        # Skip per-stop failures
+        if pred.get("error"):
+            logger.debug(
+                "compute_stop_time_updates: per-stop error for seq=%s: %s",
+                pred.get("stop_sequence"),
+                pred["error"],
+            )
+            continue
+        eta_ts_str: str | None = pred.get("eta_timestamp")
+        if not eta_ts_str:
+            continue
+        try:
+            # Handle trailing Z (Python < 3.11 fromisoformat doesn't accept it)
+            if eta_ts_str.endswith("Z"):
+                eta_ts_str = eta_ts_str[:-1] + "+00:00"
+            eta_posix = int(datetime.fromisoformat(eta_ts_str).timestamp())
+        except (ValueError, TypeError) as exc:
+            logger.debug(
+                "compute_stop_time_updates: bad eta_timestamp %r: %s", eta_ts_str, exc
+            )
+            continue
+
+        entries.append(
+            {
+                stop_time_updates.STOP_SEQUENCE: int(pred["stop_sequence"]),
+                stop_time_updates.STOP_ID: str(pred["stop_id"]),
+                stop_time_updates.ARRIVAL_TIME: eta_posix,
+                stop_time_updates.DEPARTURE_TIME: eta_posix,
+                stop_time_updates.UNCERTAINTY: default_uncertainty_s,
+            }
+        )
+
+    # ------------------------------------------------------------------
+    # 8. Dedup by stop_sequence (keep first) + sort ascending
+    # ------------------------------------------------------------------
+    seen: set[int] = set()
+    deduped: list[dict] = []
+    for entry in entries:
+        seq = entry[stop_time_updates.STOP_SEQUENCE]
+        if seq not in seen:
+            seen.add(seq)
+            deduped.append(entry)
+
+    deduped.sort(key=lambda e: e[stop_time_updates.STOP_SEQUENCE])
+    return deduped
+
+
+# ---------------------------------------------------------------------------
+# Impure producer (Redis glue)
+# ---------------------------------------------------------------------------
+
+
+def produce_stop_times(run_id: str, vehicle_id: str) -> None:
+    """Derive and write ``run:<run_id>:stop_time_updates`` from current run state.
+
+    1. Reads the run hash; returns immediately if absent.
+    2. Reads the position hash; returns without overwriting if no position.
+    3. Reads the stop-status hash.
+    4. Resolves shape geometry; returns without overwriting if unavailable
+       (leaves last-good projection to TTL-expire naturally).
+    5. Calls :func:`compute_stop_time_updates`; writes to Redis only when a
+       non-empty list is returned (no-models case leaves last-good intact).
 
     Parameters
     ----------
     run_id:
         The active run id (string, as stored in ``vehicle:<id>:current_run``).
     vehicle_id:
-        The vehicle id whose position was just updated (reserved for future use).
+        The vehicle id whose position was just updated.
     """
+    # Step 1 — run hash
     run_hash = r.hgetall(keys.run_key(run_id))
     if not run_hash:
         return
 
-    prev_raw = r.hgetall(keys.stop_status_key(run_id))
+    # Step 2 — position hash (required; exit without overwriting if absent)
+    from runs.domain.telemetry import position as position_module  # noqa: PLC0415
 
-    from schedule_engine.fake_stop_times import build_stop_time_updates
+    pos_raw = r.hgetall(keys.position_key(vehicle_id))
+    if not pos_raw:
+        return
+    pos = position_module.from_redis(pos_raw)
+    if pos.get("latitude") is None or pos.get("longitude") is None:
+        return
 
-    fake_entries = build_stop_time_updates(run=run_hash, progression=prev_raw)
+    # Step 3 — stop-status hash (tolerate absence)
+    stop_status_raw = r.hgetall(keys.stop_status_key(run_id))
+    stop_status = vehicle_stop_status.from_redis(stop_status_raw) if stop_status_raw else {}
 
-    # Map fake entries {stop_sequence, stop_id, eta_posix, uncertainty}
-    # → contract entries {stop_sequence, stop_id, arrival_time, departure_time, uncertainty}
-    mapped = [
-        {
-            stop_time_updates.STOP_SEQUENCE: entry["stop_sequence"],
-            stop_time_updates.STOP_ID: entry["stop_id"],
-            stop_time_updates.ARRIVAL_TIME: entry["eta_posix"],
-            stop_time_updates.DEPARTURE_TIME: entry["eta_posix"],
-            stop_time_updates.UNCERTAINTY: entry["uncertainty"],
-        }
-        for entry in fake_entries
-    ]
+    # Step 4 — shape geometry (exit without overwriting if unavailable)
+    shape_id = run_hash.get("shape_id", "")
+    trip_id = run_hash.get("trip_id", "")
+    if not shape_id or not trip_id:
+        return
+    geom = get_shape_geometry(shape_id, trip_id)
+    if geom is None:
+        return
+
+    # Step 5 — compute and conditionally write
+    entries = compute_stop_time_updates(
+        run_hash=run_hash,
+        position=pos,
+        stop_status=stop_status,
+        geom=geom,
+        max_stops=ETA_MAX_STOPS,
+        default_uncertainty_s=ETA_DEFAULT_UNCERTAINTY_S,
+    )
+    if not entries:
+        # No predictions (no models trained, etc.) — leave last-good intact.
+        return
 
-    payload = stop_time_updates.to_redis(mapped)
+    payload = stop_time_updates.to_redis(entries)
     r.set(keys.stop_time_updates_key(run_id), payload, ex=STOP_TIME_UPDATES_TTL_S)
diff --git a/backend/schedule_engine/builders.py b/backend/schedule_engine/builders.py
index 8af9acc..70ee6f4 100644
--- a/backend/schedule_engine/builders.py
+++ b/backend/schedule_engine/builders.py
@@ -201,8 +201,20 @@ def build_trip_update_entity(r, run_id: str) -> dict | None:
     # entries in the feed).
     raw = r.get(keys.stop_time_updates_key(run_id))
     entries = stop_time_updates.from_redis(raw)
+
+    # Defensive sort + dedup: the producer already guarantees ordering and
+    # uniqueness, but belt-and-suspenders here ensures a corrupt projection
+    # never produces an invalid GTFS-RT feed.
+    seen_seqs: set[int] = set()
+    deduped_entries: list[dict] = []
+    for entry in sorted(entries, key=lambda e: e["stop_sequence"]):
+        seq = entry["stop_sequence"]
+        if seq not in seen_seqs:
+            seen_seqs.add(seq)
+            deduped_entries.append(entry)
+
     tu["stop_time_update"] = []
-    for u in entries:
+    for u in deduped_entries:
         tu["stop_time_update"].append(
             {
                 "stop_sequence": u["stop_sequence"],

From 6603390d094b5fdc3e81fbf9a5f84712500f6e0d Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Thu, 25 Jun 2026 12:13:45 -0600
Subject: [PATCH 04/68] test(eta): stop-time producer suite

Cover the pure helper, both bug regressions (no duplicate stop_sequence;
non-increasing upcoming count), output-adapter edges, and the impure producer's
Redis read/skip/write guards.
---
 .../tests/test_stop_times_producer.py         | 784 +++++++++++++++---
 1 file changed, 657 insertions(+), 127 deletions(-)

diff --git a/backend/runs/domain/progression/tests/test_stop_times_producer.py b/backend/runs/domain/progression/tests/test_stop_times_producer.py
index 4beaf68..76a7ab0 100644
--- a/backend/runs/domain/progression/tests/test_stop_times_producer.py
+++ b/backend/runs/domain/progression/tests/test_stop_times_producer.py
@@ -1,187 +1,717 @@
-"""Unit tests for produce_stop_times — monkeypatched Redis, no I/O.
-
-The module-level ``r`` object in stop_times.py is replaced with a MagicMock so
-all tests run entirely in-process without a live Redis instance.
-
-Patch target: ``runs.domain.progression.stop_times.r``
+"""Tests for the real ETA stop-time-updates producer.
+
+Coverage:
+- Pure helper unit tests (ShapeGeometry constructed directly, temp MODEL_REGISTRY_DIR)
+- Bug regression: no duplicate stop_sequence; list shrinks as vehicle advances
+- Output-adapter edge cases: top-level error, per-stop error, STOPPED_AT
+- Impure produce_stop_times: monkeypatched Redis + get_shape_geometry
+- Builder hardening: unsorted/duplicate projection is sorted+deduped
 """
 
 import json
+import os
+import subprocess
+import sys
+import tempfile
+from datetime import datetime, timezone
 from unittest.mock import MagicMock, patch
 
 import pytest
 
 import runs.domain.progression.stop_times as stop_times_module
+from runs.domain.progression.shapes import ShapeGeometry, assemble_geometry
 from runs.domain.progression.stop_times import (
+    ETA_DEFAULT_UNCERTAINTY_S,
     STOP_TIME_UPDATES_TTL_S,
+    compute_stop_time_updates,
     produce_stop_times,
 )
-from runs.domain.telemetry import keys, stop_time_updates
+from runs.domain.telemetry import keys, stop_time_updates, vehicle_stop_status
+from schedule_engine.builders import build_trip_update_entity
 
 
 # ---------------------------------------------------------------------------
-# Helpers
+# Shared geometry fixture helpers
 # ---------------------------------------------------------------------------
 
-VEHICLE_ID = "v-42"
-RUN_ID = "run-99"
+# A simple straight N–S line: 6 stops spaced ~111 m apart (1 arc-second of lat).
+# Shape: 7 points at lon = -84.0, lat from 9.900 to 9.906.
+_LAT_BASE = 9.900
+_LON = -84.0
+_D_LAT = 0.001  # ≈ 111 m per step
 
-_RUN_RAW = {
-    "trip_id": "trip-1",
-    "route_id": "route-1",
-    "shape_id": "shape-1",
-    "vehicle": VEHICLE_ID,
-}
 
-_STOP_STATUS_RAW = {
-    "current_stop_sequence": "3",
-    "stop_id": "STOP-42",
-    "current_status": "IN_TRANSIT_TO",
-}
+def _straight_shape_points(n_points: int = 7) -> list[tuple[float, float, int]]:
+    """Return (lat, lon, seq) tuples for a straight N–S polyline."""
+    return [(_LAT_BASE + i * _D_LAT, _LON, i) for i in range(n_points)]
 
-# Two fake entries that build_stop_time_updates might return
-_FAKE_STOP_ENTRIES = [
-    {
-        "stop_sequence": 3,
-        "stop_id": "stop-1",
-        "eta_posix": 1700001000,
-        "uncertainty": 120,
-    },
-    {
-        "stop_sequence": 4,
-        "stop_id": "stop-2",
-        "eta_posix": 1700001300,
-        "uncertainty": 120,
-    },
-]
-
-
-def _fake_redis(run_raw=None, stop_status_raw=None) -> MagicMock:
-    r = MagicMock()
 
-    def hgetall_side_effect(key: str) -> dict:
-        if key == keys.run_key(RUN_ID):
-            return run_raw if run_raw is not None else _RUN_RAW
-        if key == keys.stop_status_key(RUN_ID):
-            return stop_status_raw if stop_status_raw is not None else {}
-        return {}
+def _straight_stop_rows(n_stops: int = 6) -> list[dict]:
+    """Return stop rows snapped to the first n_stops polyline vertices."""
+    return [
+        {
+            "stop_id": f"S{i}",
+            "stop_sequence": i,
+            "lat": _LAT_BASE + i * _D_LAT,
+            "lon": _LON,
+        }
+        for i in range(n_stops)
+    ]
 
-    r.hgetall.side_effect = hgetall_side_effect
-    return r
+
+def make_straight_geom(n_stops: int = 6) -> ShapeGeometry:
+    """Build a ShapeGeometry from the straight test polyline."""
+    return assemble_geometry(
+        shape_id="test-shape",
+        trip_id="test-trip",
+        shape_points=_straight_shape_points(n_stops + 1),
+        stop_rows=_straight_stop_rows(n_stops),
+    )
 
 
 # ---------------------------------------------------------------------------
-# Test 1 — Empty run hash: returns early, no r.set called
+# Fixture: seed a baseline model into a temp directory
 # ---------------------------------------------------------------------------
 
 
-def test_returns_early_when_run_hash_is_empty(monkeypatch):
-    fake_r = _fake_redis(run_raw={})
-    monkeypatch.setattr(stop_times_module, "r", fake_r)
-
-    produce_stop_times(RUN_ID, VEHICLE_ID)
-
-    fake_r.set.assert_not_called()
+@pytest.fixture(scope="module")
+def model_dir():
+    """Seed the baseline ETA model into a temp directory once per module."""
+    with tempfile.TemporaryDirectory() as tmpdir:
+        env = {**os.environ, "MODEL_REGISTRY_DIR": tmpdir}
+        result = subprocess.run(
+            [sys.executable, "-m", "gtfs_eta.seed_baseline_model"],
+            env=env,
+            capture_output=True,
+            text=True,
+            cwd=os.path.dirname(os.path.dirname(os.path.abspath(__file__))),
+        )
+        assert result.returncode == 0, (
+            f"seed_baseline_model failed:\nstdout: {result.stdout}\nstderr: {result.stderr}"
+        )
+        yield tmpdir
 
 
 # ---------------------------------------------------------------------------
-# Test 2 — Happy path: maps fake entries to contract and writes JSON
+# Helper: build a minimal position dict (typed, as from position.from_redis)
 # ---------------------------------------------------------------------------
 
 
-def test_happy_path_writes_stop_time_updates_key(monkeypatch):
-    fake_r = _fake_redis()
-    monkeypatch.setattr(stop_times_module, "r", fake_r)
+def _pos(lat: float, lon: float, speed: float = 4.5, ts: int = 1_700_000_000) -> dict:
+    return {
+        "latitude": lat,
+        "longitude": lon,
+        "speed": speed,
+        "timestamp": ts,
+    }
 
-    with patch(
-        "schedule_engine.fake_stop_times.build_stop_time_updates",
-        return_value=_FAKE_STOP_ENTRIES,
-    ):
-        produce_stop_times(RUN_ID, VEHICLE_ID)
 
-    fake_r.set.assert_called_once()
-    call_args = fake_r.set.call_args
-    written_key = call_args.args[0] if call_args.args else call_args.kwargs.get("name")
-    assert written_key == keys.stop_time_updates_key(RUN_ID)
+def _run_hash(vehicle: str = "V1", route_id: str = "R1", trip_id: str = "T1") -> dict:
+    return {
+        "vehicle": vehicle,
+        "route_id": route_id,
+        "trip_id": trip_id,
+        "shape_id": "test-shape",
+    }
 
 
-def test_happy_path_payload_is_valid_json(monkeypatch):
-    fake_r = _fake_redis()
-    monkeypatch.setattr(stop_times_module, "r", fake_r)
+# ---------------------------------------------------------------------------
+# Pure helper — happy path
+# ---------------------------------------------------------------------------
 
-    with patch(
-        "schedule_engine.fake_stop_times.build_stop_time_updates",
-        return_value=_FAKE_STOP_ENTRIES,
-    ):
-        produce_stop_times(RUN_ID, VEHICLE_ID)
 
-    payload_str = fake_r.set.call_args.args[1]
-    parsed = json.loads(payload_str)
-    assert isinstance(parsed, list)
-    assert len(parsed) == 2
+class TestComputeStopTimeUpdatesHappyPath:
+    """Predictions map correctly; ARRIVAL_TIME is int POSIX; ETAs increase."""
+
+    def test_returns_list_of_dicts(self, model_dir):
+        geom = make_straight_geom()
+        # Vehicle at the very start of the route (before stop 0)
+        pos = _pos(_LAT_BASE - 0.0005, _LON)
+        with patch.dict(os.environ, {"MODEL_REGISTRY_DIR": model_dir}):
+            result = compute_stop_time_updates(
+                run_hash=_run_hash(),
+                position=pos,
+                stop_status={},
+                geom=geom,
+                max_stops=3,
+                default_uncertainty_s=120,
+            )
+        assert isinstance(result, list)
+        if result:  # may be empty if model not loaded but seed should work
+            assert all(isinstance(e, dict) for e in result)
+
+    def test_arrival_time_is_int_posix(self, model_dir):
+        geom = make_straight_geom()
+        pos = _pos(_LAT_BASE - 0.0005, _LON)
+        with patch.dict(os.environ, {"MODEL_REGISTRY_DIR": model_dir}):
+            result = compute_stop_time_updates(
+                run_hash=_run_hash(),
+                position=pos,
+                stop_status={},
+                geom=geom,
+                max_stops=3,
+                default_uncertainty_s=120,
+            )
+        for entry in result:
+            assert isinstance(entry[stop_time_updates.ARRIVAL_TIME], int)
+            assert isinstance(entry[stop_time_updates.DEPARTURE_TIME], int)
+            # Sanity: POSIX in a plausible range (year 2000 → 2100)
+            assert 946_684_800 < entry[stop_time_updates.ARRIVAL_TIME] < 4_102_444_800
+
+    def test_uncertainty_equals_default(self, model_dir):
+        geom = make_straight_geom()
+        pos = _pos(_LAT_BASE - 0.0005, _LON)
+        with patch.dict(os.environ, {"MODEL_REGISTRY_DIR": model_dir}):
+            result = compute_stop_time_updates(
+                run_hash=_run_hash(),
+                position=pos,
+                stop_status={},
+                geom=geom,
+                max_stops=3,
+                default_uncertainty_s=99,
+            )
+        for entry in result:
+            assert entry[stop_time_updates.UNCERTAINTY] == 99
+
+    def test_etas_are_non_decreasing(self, model_dir):
+        """ETAs must increase (or stay equal) as distance increases."""
+        geom = make_straight_geom()
+        pos = _pos(_LAT_BASE - 0.0005, _LON)
+        with patch.dict(os.environ, {"MODEL_REGISTRY_DIR": model_dir}):
+            result = compute_stop_time_updates(
+                run_hash=_run_hash(),
+                position=pos,
+                stop_status={},
+                geom=geom,
+                max_stops=6,
+                default_uncertainty_s=120,
+            )
+        times = [e[stop_time_updates.ARRIVAL_TIME] for e in result]
+        for i in range(1, len(times)):
+            assert times[i] >= times[i - 1], (
+                f"ETA decreased: entry[{i - 1}]={times[i - 1]} > entry[{i}]={times[i]}"
+            )
+
+    def test_stop_id_and_sequence_match_geom(self, model_dir):
+        geom = make_straight_geom(n_stops=6)
+        pos = _pos(_LAT_BASE - 0.0005, _LON)
+        with patch.dict(os.environ, {"MODEL_REGISTRY_DIR": model_dir}):
+            result = compute_stop_time_updates(
+                run_hash=_run_hash(),
+                position=pos,
+                stop_status={},
+                geom=geom,
+                max_stops=3,
+                default_uncertainty_s=120,
+            )
+        geom_stop_ids = {s["stop_id"] for s in geom.stops}
+        for entry in result:
+            assert entry[stop_time_updates.STOP_ID] in geom_stop_ids
 
 
-def test_fake_to_contract_mapping(monkeypatch):
-    """Each fake entry {eta_posix} must map to contract {arrival_time, departure_time}."""
-    fake_r = _fake_redis()
-    monkeypatch.setattr(stop_times_module, "r", fake_r)
+# ---------------------------------------------------------------------------
+# Bug regression: no duplicates; list shrinks as vehicle advances
+# ---------------------------------------------------------------------------
 
-    with patch(
-        "schedule_engine.fake_stop_times.build_stop_time_updates",
-        return_value=_FAKE_STOP_ENTRIES,
-    ):
-        produce_stop_times(RUN_ID, VEHICLE_ID)
 
-    payload_str = fake_r.set.call_args.args[1]
-    entries = stop_time_updates.from_redis(payload_str)
-    assert len(entries) == 2
-    # Verify the eta_posix → arrival_time / departure_time mapping
-    assert entries[0][stop_time_updates.ARRIVAL_TIME] == 1700001000
-    assert entries[0][stop_time_updates.DEPARTURE_TIME] == 1700001000
-    assert entries[0][stop_time_updates.STOP_SEQUENCE] == 3
-    assert entries[0][stop_time_updates.STOP_ID] == "stop-1"
-    assert entries[0][stop_time_updates.UNCERTAINTY] == 120
-
-
-def test_writes_with_ttl(monkeypatch):
-    """r.set must be called with ex=STOP_TIME_UPDATES_TTL_S."""
-    fake_r = _fake_redis()
-    monkeypatch.setattr(stop_times_module, "r", fake_r)
-
-    with patch(
-        "schedule_engine.fake_stop_times.build_stop_time_updates",
-        return_value=_FAKE_STOP_ENTRIES,
-    ):
-        produce_stop_times(RUN_ID, VEHICLE_ID)
+class TestBugRegressions:
+    def test_no_duplicate_stop_sequence_in_output(self, model_dir):
+        """Output must never contain duplicate stop_sequence values."""
+        geom = make_straight_geom(n_stops=6)
+        pos = _pos(_LAT_BASE - 0.0005, _LON)
+        with patch.dict(os.environ, {"MODEL_REGISTRY_DIR": model_dir}):
+            result = compute_stop_time_updates(
+                run_hash=_run_hash(),
+                position=pos,
+                stop_status={},
+                geom=geom,
+                max_stops=6,
+                default_uncertainty_s=120,
+            )
+        seqs = [e[stop_time_updates.STOP_SEQUENCE] for e in result]
+        assert len(seqs) == len(set(seqs)), f"Duplicate sequences: {seqs}"
+
+    def test_list_length_non_increasing_as_sequence_advances(self, model_dir):
+        """As current_stop_sequence advances 0→3→5, the result length must not grow."""
+        geom = make_straight_geom(n_stops=6)
+        # Vehicle mid-route
+        pos = _pos(_LAT_BASE + 2 * _D_LAT + 0.0005, _LON)
+
+        def _count(current_seq: int, status: str = "IN_TRANSIT_TO") -> int:
+            ss = {
+                vehicle_stop_status.CURRENT_STOP_SEQUENCE: current_seq,
+                vehicle_stop_status.CURRENT_STATUS: status,
+            }
+            with patch.dict(os.environ, {"MODEL_REGISTRY_DIR": model_dir}):
+                res = compute_stop_time_updates(
+                    run_hash=_run_hash(),
+                    position=pos,
+                    stop_status=ss,
+                    geom=geom,
+                    max_stops=6,
+                    default_uncertainty_s=120,
+                )
+            return len(res)
+
+        c0 = _count(0)
+        c3 = _count(3)
+        c5 = _count(5)
+        assert c0 >= c3 >= c5, (
+            f"List grew as sequence advanced: seq0={c0}, seq3={c3}, seq5={c5}"
+        )
+
+    def test_output_contains_only_sequences_gte_current(self, model_dir):
+        """All returned sequences must be >= current_stop_sequence."""
+        geom = make_straight_geom(n_stops=6)
+        pos = _pos(_LAT_BASE, _LON)
+        current_seq = 3
+        ss = {
+            vehicle_stop_status.CURRENT_STOP_SEQUENCE: current_seq,
+            vehicle_stop_status.CURRENT_STATUS: "IN_TRANSIT_TO",
+        }
+        with patch.dict(os.environ, {"MODEL_REGISTRY_DIR": model_dir}):
+            result = compute_stop_time_updates(
+                run_hash=_run_hash(),
+                position=pos,
+                stop_status=ss,
+                geom=geom,
+                max_stops=6,
+                default_uncertainty_s=120,
+            )
+        for entry in result:
+            assert entry[stop_time_updates.STOP_SEQUENCE] >= current_seq
 
-    call_kwargs = fake_r.set.call_args.kwargs
-    assert call_kwargs.get("ex") == STOP_TIME_UPDATES_TTL_S
+
+# ---------------------------------------------------------------------------
+# Output-adapter edge cases
+# ---------------------------------------------------------------------------
+
+
+class TestOutputAdapterEdgeCases:
+    def test_top_level_error_returns_empty(self):
+        """When estimator returns a top-level error, result must be []."""
+        geom = make_straight_geom()
+        pos = _pos(_LAT_BASE, _LON)
+        error_result = {
+            "predictions": [],
+            "error": "No trained models found for model_type",
+            "model_key": None,
+        }
+        # estimate_stop_times is lazily imported inside compute_stop_time_updates;
+        # patch the function in its source module (gtfs_eta.eta_service.estimator).
+        with patch(
+            "gtfs_eta.eta_service.estimator.estimate_stop_times",
+            return_value=error_result,
+        ):
+            result = compute_stop_time_updates(
+                run_hash=_run_hash(),
+                position=pos,
+                stop_status={},
+                geom=geom,
+            )
+        assert result == []
+
+    def test_per_stop_error_is_skipped(self):
+        """A prediction with per-stop error must be excluded from the output."""
+        geom = make_straight_geom(n_stops=3)
+        pos = _pos(_LAT_BASE - 0.0005, _LON)
+        now_ts = datetime.now(tz=timezone.utc)
+        estimator_result = {
+            "predictions": [
+                {
+                    "stop_id": "S0",
+                    "stop_sequence": 0,
+                    "distance_to_stop_m": 50.0,
+                    "eta_seconds": None,
+                    "eta_minutes": None,
+                    "eta_formatted": None,
+                    "eta_timestamp": None,
+                    "error": "prediction failed",
+                },
+                {
+                    "stop_id": "S1",
+                    "stop_sequence": 1,
+                    "distance_to_stop_m": 160.0,
+                    "eta_seconds": 36.0,
+                    "eta_minutes": 0.6,
+                    "eta_formatted": "0m 36s",
+                    "eta_timestamp": now_ts.isoformat(),
+                },
+            ],
+        }
+        with patch(
+            "gtfs_eta.eta_service.estimator.estimate_stop_times",
+            return_value=estimator_result,
+        ):
+            result = compute_stop_time_updates(
+                run_hash=_run_hash(),
+                position=pos,
+                stop_status={},
+                geom=geom,
+            )
+        # Only S1 should be in the output (S0 has an error)
+        assert len(result) == 1
+        assert result[0][stop_time_updates.STOP_ID] == "S1"
+
+    def test_stopped_at_excludes_current_stop(self, model_dir):
+        """When status is STOPPED_AT, the current stop must not appear in output."""
+        geom = make_straight_geom(n_stops=6)
+        pos = _pos(_LAT_BASE + 2 * _D_LAT, _LON)
+        current_seq = 2
+        ss = {
+            vehicle_stop_status.CURRENT_STOP_SEQUENCE: current_seq,
+            vehicle_stop_status.CURRENT_STATUS: "STOPPED_AT",
+        }
+        with patch.dict(os.environ, {"MODEL_REGISTRY_DIR": model_dir}):
+            result = compute_stop_time_updates(
+                run_hash=_run_hash(),
+                position=pos,
+                stop_status=ss,
+                geom=geom,
+                max_stops=6,
+                default_uncertainty_s=120,
+            )
+        seqs = [e[stop_time_updates.STOP_SEQUENCE] for e in result]
+        assert current_seq not in seqs, (
+            f"STOPPED_AT: current_seq={current_seq} found in output seqs {seqs}"
+        )
+        for seq in seqs:
+            assert seq > current_seq
+
+    def test_empty_upcoming_stops_returns_empty(self):
+        """When no upcoming stops remain, result is []."""
+        geom = make_straight_geom(n_stops=3)
+        pos = _pos(_LAT_BASE, _LON)
+        ss = {
+            # All stops are behind the vehicle (seq 100 > any stop)
+            vehicle_stop_status.CURRENT_STOP_SEQUENCE: 100,
+            vehicle_stop_status.CURRENT_STATUS: "IN_TRANSIT_TO",
+        }
+        result = compute_stop_time_updates(
+            run_hash=_run_hash(),
+            position=pos,
+            stop_status=ss,
+            geom=geom,
+        )
+        assert result == []
+
+    def test_empty_predictions_returns_empty(self):
+        """When estimator returns empty predictions list (no error), result is []."""
+        geom = make_straight_geom(n_stops=3)
+        pos = _pos(_LAT_BASE - 0.0005, _LON)
+        with patch(
+            "gtfs_eta.eta_service.estimator.estimate_stop_times",
+            return_value={"predictions": []},
+        ):
+            result = compute_stop_time_updates(
+                run_hash=_run_hash(),
+                position=pos,
+                stop_status={},
+                geom=geom,
+            )
+        assert result == []
 
 
 # ---------------------------------------------------------------------------
-# Test 3 — Empty fake entries: writes empty JSON array
+# Impure produce_stop_times tests (monkeypatched Redis)
 # ---------------------------------------------------------------------------
 
+VEHICLE_ID = "V-test"
+RUN_ID = "run-test"
+
+_RUN_RAW = {
+    "trip_id": "T1",
+    "route_id": "R1",
+    "shape_id": "shape-1",
+    "vehicle": VEHICLE_ID,
+}
+
+_POS_RAW = {
+    "latitude": str(_LAT_BASE),
+    "longitude": str(_LON),
+    "speed": "4.5",
+    "timestamp": "1700000000",
+}
+
+_STOP_STATUS_RAW = {
+    "current_stop_sequence": "2",
+    "stop_id": "S2",
+    "current_status": "IN_TRANSIT_TO",
+}
+
+
+def _fake_redis(run_raw=None, pos_raw=None, stop_status_raw=None) -> MagicMock:
+    r = MagicMock()
+
+    def hgetall_side_effect(key: str) -> dict:
+        if key == keys.run_key(RUN_ID):
+            return run_raw if run_raw is not None else _RUN_RAW
+        if key == keys.position_key(VEHICLE_ID):
+            return pos_raw if pos_raw is not None else _POS_RAW
+        if key == keys.stop_status_key(RUN_ID):
+            return stop_status_raw if stop_status_raw is not None else _STOP_STATUS_RAW
+        return {}
+
+    r.hgetall.side_effect = hgetall_side_effect
+    return r
 
-def test_empty_fake_entries_writes_empty_array(monkeypatch):
-    fake_r = _fake_redis()
-    monkeypatch.setattr(stop_times_module, "r", fake_r)
 
-    with patch(
-        "schedule_engine.fake_stop_times.build_stop_time_updates",
-        return_value=[],
-    ):
+class TestProduceStopTimesImpure:
+    def test_returns_early_when_run_hash_empty(self, monkeypatch):
+        fake_r = _fake_redis(run_raw={})
+        monkeypatch.setattr(stop_times_module, "r", fake_r)
         produce_stop_times(RUN_ID, VEHICLE_ID)
+        fake_r.set.assert_not_called()
 
-    fake_r.set.assert_called_once()
-    payload_str = fake_r.set.call_args.args[1]
-    assert json.loads(payload_str) == []
+    def test_returns_early_when_no_position(self, monkeypatch):
+        fake_r = _fake_redis(pos_raw={})
+        monkeypatch.setattr(stop_times_module, "r", fake_r)
+        produce_stop_times(RUN_ID, VEHICLE_ID)
+        fake_r.set.assert_not_called()
+
+    def test_does_not_write_when_no_shape(self, monkeypatch):
+        fake_r = _fake_redis()
+        monkeypatch.setattr(stop_times_module, "r", fake_r)
+        with patch(
+            "runs.domain.progression.stop_times.get_shape_geometry",
+            return_value=None,
+        ):
+            produce_stop_times(RUN_ID, VEHICLE_ID)
+        fake_r.set.assert_not_called()
+
+    def test_does_not_write_when_compute_returns_empty(self, monkeypatch):
+        geom = make_straight_geom()
+        fake_r = _fake_redis()
+        monkeypatch.setattr(stop_times_module, "r", fake_r)
+        with (
+            patch(
+                "runs.domain.progression.stop_times.get_shape_geometry",
+                return_value=geom,
+            ),
+            patch(
+                "runs.domain.progression.stop_times.compute_stop_time_updates",
+                return_value=[],
+            ),
+        ):
+            produce_stop_times(RUN_ID, VEHICLE_ID)
+        fake_r.set.assert_not_called()
+
+    def test_writes_correct_key_with_ttl(self, monkeypatch):
+        geom = make_straight_geom()
+        fake_r = _fake_redis()
+        monkeypatch.setattr(stop_times_module, "r", fake_r)
+
+        now_ts = int(datetime.now(tz=timezone.utc).timestamp())
+        fake_entries = [
+            {
+                stop_time_updates.STOP_SEQUENCE: 2,
+                stop_time_updates.STOP_ID: "S2",
+                stop_time_updates.ARRIVAL_TIME: now_ts + 60,
+                stop_time_updates.DEPARTURE_TIME: now_ts + 60,
+                stop_time_updates.UNCERTAINTY: 120,
+            },
+        ]
+        with (
+            patch(
+                "runs.domain.progression.stop_times.get_shape_geometry",
+                return_value=geom,
+            ),
+            patch(
+                "runs.domain.progression.stop_times.compute_stop_time_updates",
+                return_value=fake_entries,
+            ),
+        ):
+            produce_stop_times(RUN_ID, VEHICLE_ID)
+
+        fake_r.set.assert_called_once()
+        call_args = fake_r.set.call_args
+        written_key = call_args.args[0] if call_args.args else call_args.kwargs.get("name")
+        assert written_key == keys.stop_time_updates_key(RUN_ID)
+        assert call_args.kwargs.get("ex") == STOP_TIME_UPDATES_TTL_S
+
+    def test_written_payload_parses_to_unique_ascending_sequences(self, monkeypatch):
+        geom = make_straight_geom()
+        fake_r = _fake_redis()
+        monkeypatch.setattr(stop_times_module, "r", fake_r)
+
+        now_ts = int(datetime.now(tz=timezone.utc).timestamp())
+        fake_entries = [
+            {
+                stop_time_updates.STOP_SEQUENCE: 2,
+                stop_time_updates.STOP_ID: "S2",
+                stop_time_updates.ARRIVAL_TIME: now_ts + 60,
+                stop_time_updates.DEPARTURE_TIME: now_ts + 60,
+                stop_time_updates.UNCERTAINTY: 120,
+            },
+            {
+                stop_time_updates.STOP_SEQUENCE: 3,
+                stop_time_updates.STOP_ID: "S3",
+                stop_time_updates.ARRIVAL_TIME: now_ts + 120,
+                stop_time_updates.DEPARTURE_TIME: now_ts + 120,
+                stop_time_updates.UNCERTAINTY: 120,
+            },
+        ]
+        with (
+            patch(
+                "runs.domain.progression.stop_times.get_shape_geometry",
+                return_value=geom,
+            ),
+            patch(
+                "runs.domain.progression.stop_times.compute_stop_time_updates",
+                return_value=fake_entries,
+            ),
+        ):
+            produce_stop_times(RUN_ID, VEHICLE_ID)
+
+        payload_str = fake_r.set.call_args.args[1]
+        parsed = stop_time_updates.from_redis(payload_str)
+        seqs = [e["stop_sequence"] for e in parsed]
+        assert len(seqs) == len(set(seqs)), f"Duplicate sequences: {seqs}"
+        assert seqs == sorted(seqs), f"Not ascending: {seqs}"
 
 
 # ---------------------------------------------------------------------------
-# Test 4 — TTL constant is 60
+# Builder hardening: unsorted/duplicate projection is sorted+deduped
 # ---------------------------------------------------------------------------
 
 
-def test_ttl_constant_is_60():
-    assert STOP_TIME_UPDATES_TTL_S == 60
+class FakeRedis:
+    """Minimal dict-backed Redis stub for builder tests."""
+
+    def __init__(self, data: dict):
+        self._data = data
+
+    def hgetall(self, key: str) -> dict:
+        val = self._data.get(key, {})
+        return dict(val) if isinstance(val, dict) else {}
+
+    def smembers(self, key: str) -> set:
+        val = self._data.get(key, set())
+        return set(val) if isinstance(val, set) else set()
+
+    def get(self, key: str) -> str | None:
+        val = self._data.get(key)
+        return val if isinstance(val, str) else None
+
+
+_BUILDER_RUN_ID = "run-b1"
+_BUILDER_VID = "V-b1"
+
+
+def _builder_redis_data(projection_entries: list[dict]) -> dict:
+    return {
+        "runs:in_progress": {_BUILDER_RUN_ID},
+        f"run:{_BUILDER_RUN_ID}": {
+            "vehicle": _BUILDER_VID,
+            "trip_id": "trip-x",
+            "route_id": "route-x",
+            "schedule_relationship": "SCHEDULED",
+        },
+        f"run:{_BUILDER_RUN_ID}:trip": {
+            "trip_id": "trip-x",
+            "route_id": "route-x",
+            "schedule_relationship": "SCHEDULED",
+        },
+        f"vehicle:{_BUILDER_VID}:position": {
+            "latitude": "9.900",
+            "longitude": "-84.0",
+            "timestamp": "1700000000",
+        },
+        f"vehicle:{_BUILDER_VID}:metadata": {
+            "id": _BUILDER_VID,
+            "label": "Bus B1",
+        },
+        f"run:{_BUILDER_RUN_ID}:vehicle_stop_status": {
+            "current_stop_sequence": "1",
+            "current_status": "IN_TRANSIT_TO",
+        },
+        keys.stop_time_updates_key(_BUILDER_RUN_ID): stop_time_updates.to_redis(
+            projection_entries
+        ),
+    }
+
+
+class TestBuilderHardening:
+    def test_unsorted_projection_is_sorted_ascending(self):
+        now = int(datetime.now(tz=timezone.utc).timestamp())
+        # Deliberately reverse order: seq 5 before seq 2
+        entries = [
+            {
+                stop_time_updates.STOP_SEQUENCE: 5,
+                stop_time_updates.STOP_ID: "S5",
+                stop_time_updates.ARRIVAL_TIME: now + 200,
+                stop_time_updates.DEPARTURE_TIME: now + 200,
+                stop_time_updates.UNCERTAINTY: 120,
+            },
+            {
+                stop_time_updates.STOP_SEQUENCE: 2,
+                stop_time_updates.STOP_ID: "S2",
+                stop_time_updates.ARRIVAL_TIME: now + 100,
+                stop_time_updates.DEPARTURE_TIME: now + 100,
+                stop_time_updates.UNCERTAINTY: 120,
+            },
+        ]
+        r = FakeRedis(_builder_redis_data(entries))
+        entity = build_trip_update_entity(r, _BUILDER_RUN_ID)
+        assert entity is not None
+        updates = entity["trip_update"]["stop_time_update"]
+        seqs = [u["stop_sequence"] for u in updates]
+        assert seqs == sorted(seqs), f"Not sorted: {seqs}"
+
+    def test_duplicate_sequences_are_deduped(self):
+        now = int(datetime.now(tz=timezone.utc).timestamp())
+        # Two entries with same stop_sequence=3
+        entries = [
+            {
+                stop_time_updates.STOP_SEQUENCE: 3,
+                stop_time_updates.STOP_ID: "S3-a",
+                stop_time_updates.ARRIVAL_TIME: now + 100,
+                stop_time_updates.DEPARTURE_TIME: now + 100,
+                stop_time_updates.UNCERTAINTY: 120,
+            },
+            {
+                stop_time_updates.STOP_SEQUENCE: 3,
+                stop_time_updates.STOP_ID: "S3-b",
+                stop_time_updates.ARRIVAL_TIME: now + 110,
+                stop_time_updates.DEPARTURE_TIME: now + 110,
+                stop_time_updates.UNCERTAINTY: 120,
+            },
+            {
+                stop_time_updates.STOP_SEQUENCE: 5,
+                stop_time_updates.STOP_ID: "S5",
+                stop_time_updates.ARRIVAL_TIME: now + 200,
+                stop_time_updates.DEPARTURE_TIME: now + 200,
+                stop_time_updates.UNCERTAINTY: 120,
+            },
+        ]
+        r = FakeRedis(_builder_redis_data(entries))
+        entity = build_trip_update_entity(r, _BUILDER_RUN_ID)
+        assert entity is not None
+        updates = entity["trip_update"]["stop_time_update"]
+        seqs = [u["stop_sequence"] for u in updates]
+        assert len(seqs) == len(set(seqs)), f"Duplicates remain: {seqs}"
+        assert len(seqs) == 2  # seq 3 (first kept) + seq 5
+
+    def test_first_of_duplicate_is_kept(self):
+        """When two entries share a stop_sequence, the first (lower arrival) is kept."""
+        now = int(datetime.now(tz=timezone.utc).timestamp())
+        entries = [
+            {
+                stop_time_updates.STOP_SEQUENCE: 3,
+                stop_time_updates.STOP_ID: "S3-first",
+                stop_time_updates.ARRIVAL_TIME: now + 100,
+                stop_time_updates.DEPARTURE_TIME: now + 100,
+                stop_time_updates.UNCERTAINTY: 120,
+            },
+            {
+                stop_time_updates.STOP_SEQUENCE: 3,
+                stop_time_updates.STOP_ID: "S3-second",
+                stop_time_updates.ARRIVAL_TIME: now + 110,
+                stop_time_updates.DEPARTURE_TIME: now + 110,
+                stop_time_updates.UNCERTAINTY: 120,
+            },
+        ]
+        r = FakeRedis(_builder_redis_data(entries))
+        entity = build_trip_update_entity(r, _BUILDER_RUN_ID)
+        updates = entity["trip_update"]["stop_time_update"]
+        assert updates[0]["stop_id"] == "S3-first"

From 064e6437c1a9ef9fa0def25938d8e62dd66015a7 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Thu, 25 Jun 2026 12:13:45 -0600
Subject: [PATCH 05/68] chore(eta): drop fake_stop_times placeholder

Superseded by the real ETA producer. Removes the fabricated stop-time generator
and its static route_stops.csv (whose 0-based sequences surfaced an off-by-one).
---
 .../schedule_engine/aux_files/route_stops.csv |  61 -------
 backend/schedule_engine/fake_stop_times.py    | 163 ------------------
 2 files changed, 224 deletions(-)
 delete mode 100644 backend/schedule_engine/aux_files/route_stops.csv
 delete mode 100644 backend/schedule_engine/fake_stop_times.py

diff --git a/backend/schedule_engine/aux_files/route_stops.csv b/backend/schedule_engine/aux_files/route_stops.csv
deleted file mode 100644
index a04bad2..0000000
--- a/backend/schedule_engine/aux_files/route_stops.csv
+++ /dev/null
@@ -1,61 +0,0 @@
-route_id,shape_id,direction_id,stop_id,stop_sequence,timepoint
-bUCR_L2,desde_educacion_sin_milla,0,UCR_0_00,0,1
-bUCR_L2,desde_educacion_sin_milla,0,UCR_0_04,1,0
-bUCR_L2,desde_educacion_sin_milla,0,UCR_0_05,2,0
-bUCR_L2,desde_educacion_sin_milla,0,UCR_0_06,3,0
-bUCR_L2,desde_educacion_sin_milla,0,UCR_0_07,4,0
-bUCR_L2,desde_educacion_sin_milla,0,UCR_0_08,5,0
-bUCR_L2,desde_educacion_sin_milla,0,UCR_0_09,6,0
-bUCR_L2,desde_educacion_sin_milla,0,UCR_0_10,7,0
-bUCR_L2,desde_educacion_sin_milla,0,UCR_0_11,8,0
-bUCR_L1,desde_educacion_con_milla,0,UCR_0_00,0,1
-bUCR_L1,desde_educacion_con_milla,0,UCR_0_02,1,0
-bUCR_L1,desde_educacion_con_milla,0,UCR_0_03,2,0
-bUCR_L1,desde_educacion_con_milla,0,UCR_0_04,3,0
-bUCR_L1,desde_educacion_con_milla,0,UCR_0_05,4,0
-bUCR_L1,desde_educacion_con_milla,0,UCR_0_06,5,0
-bUCR_L1,desde_educacion_con_milla,0,UCR_0_07,6,0
-bUCR_L1,desde_educacion_con_milla,0,UCR_0_08,7,0
-bUCR_L1,desde_educacion_con_milla,0,UCR_0_09,8,0
-bUCR_L1,desde_educacion_con_milla,0,UCR_0_10,9,0
-bUCR_L1,desde_educacion_con_milla,0,UCR_0_11,10,0
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-bUCR_L2,desde_artes_sin_milla,0,UCR_0_04,1,0
-bUCR_L2,desde_artes_sin_milla,0,UCR_0_05,2,0
-bUCR_L2,desde_artes_sin_milla,0,UCR_0_06,3,0
-bUCR_L2,desde_artes_sin_milla,0,UCR_0_07,4,0
-bUCR_L2,desde_artes_sin_milla,0,UCR_0_08,5,0
-bUCR_L2,desde_artes_sin_milla,0,UCR_0_09,6,0
-bUCR_L2,desde_artes_sin_milla,0,UCR_0_10,7,0
-bUCR_L2,desde_artes_sin_milla,0,UCR_0_11,8,0
-bUCR_L1,desde_artes_con_milla,0,UCR_0_01,0,1
-bUCR_L1,desde_artes_con_milla,0,UCR_0_02,1,0
-bUCR_L1,desde_artes_con_milla,0,UCR_0_03,2,0
-bUCR_L1,desde_artes_con_milla,0,UCR_0_04,3,0
-bUCR_L1,desde_artes_con_milla,0,UCR_0_05,4,0
-bUCR_L1,desde_artes_con_milla,0,UCR_0_06,5,0
-bUCR_L1,desde_artes_con_milla,0,UCR_0_07,6,0
-bUCR_L1,desde_artes_con_milla,0,UCR_0_08,7,0
-bUCR_L1,desde_artes_con_milla,0,UCR_0_09,8,0
-bUCR_L1,desde_artes_con_milla,0,UCR_0_10,9,0
-bUCR_L1,desde_artes_con_milla,0,UCR_0_11,10,0
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-bUCR_L1,hacia_educacion,1,UCR_1_01,1,0
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-bUCR_L1,hacia_educacion,1,UCR_1_03,3,0
-bUCR_L1,hacia_educacion,1,UCR_1_04,4,0
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-bUCR_L1,hacia_educacion,1,UCR_1_06,6,0
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-bUCR_L1,hacia_educacion,1,UCR_1_08,8,0
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-bUCR_L1,hacia_artes,1,UCR_1_00,0,1
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-bUCR_L1,hacia_artes,1,UCR_1_02,2,0
-bUCR_L1,hacia_artes,1,UCR_1_03,3,0
-bUCR_L1,hacia_artes,1,UCR_1_04,4,0
-bUCR_L1,hacia_artes,1,UCR_1_05,5,0
-bUCR_L1,hacia_artes,1,UCR_1_06,6,0
-bUCR_L1,hacia_artes,1,UCR_1_07,7,0
-bUCR_L1,hacia_artes,1,UCR_1_08,8,0
-bUCR_L1,hacia_artes,1,UCR_1_10,10,0
\ No newline at end of file
diff --git a/backend/schedule_engine/fake_stop_times.py b/backend/schedule_engine/fake_stop_times.py
deleted file mode 100644
index fa26369..0000000
--- a/backend/schedule_engine/fake_stop_times.py
+++ /dev/null
@@ -1,163 +0,0 @@
-# For the _fake_stop_times method (temporary!)
-import logging
-import random
-from datetime import datetime, timedelta
-from pathlib import Path
-from typing import Any
-
-import numpy as np
-import pandas as pd
-
-logger = logging.getLogger(__name__)
-
-_CSV_FILE_PATH = Path(__file__).resolve().parent / "aux_files" / "route_stops.csv"
-# Time in seconds
-_UNCERTAINTY_S = 120
-_TIME_OFFSET_MIN_S = 150
-_TIME_OFFSET_MAX_S = 300
-_ARRIVAL_MAX_MIN = 5
-
-
-def _load_route_stops(csv_file_path) -> pd.DataFrame:
-    """Load route stops from a CSV file.
-
-    Parameters:
-        csv_file_path: Name of CSV file with route stops.
-
-    Returns:
-        pd.DataFrame: Information of CSV file as a Pandas DataFrame.
-    """
-    return pd.read_csv(csv_file_path, dtype={"stop_sequence": np.uint32})
-
-
-def _generate_stop_entry(
-    arrival_time, stop_sequence, stop_id, uncertainty
-) -> dict[str, Any]:
-    """Generate a stop entry with given parameters.
-
-    Parameters:
-        arrival_time: Estimated time of arrival to stop as absolute time. In POSIX time.
-        stop_sequence: Order of stops in route.
-        stop_id: ID of stop.
-        uncertainty: Margin of error in the estimated time of arrival.
-
-    Returns:
-        dict[str, Any]: A dictionary entry with stop time updates.
-    """
-    return {
-        "stop_sequence": int(stop_sequence),
-        "stop_id": str(stop_id),
-        "eta_posix": int(arrival_time.timestamp()),
-        "uncertainty": uncertainty,
-    }
-
-
-def _safe_int(value, default: int = -1) -> int:
-    """Coerce a Redis-string value to int, returning ``default`` on failure."""
-    try:
-        return int(value)
-    except (TypeError, ValueError):
-        return default
-
-
-def build_stop_time_updates(run, progression) -> list[dict[str, Any]]:
-    """Generate fake stop times for the given run.
-
-    Parameters:
-        run: Mapping with at least ``route_id`` and ``shape_id`` keys
-            (typically a Redis hash dict).
-        progression: Mapping with ``current_stop_sequence`` and
-            ``current_status`` keys (typically a Redis hash dict).
-
-    Returns:
-        list[dict[str, Any]]: A list of dictionaries with stop time updates.
-    """
-    stop_time_update: list[dict[str, Any]] = []
-
-    run = run or {}
-    progression = progression or {}
-
-    route_id = str(run.get("route_id") or "").strip()
-    shape_id = str(run.get("shape_id") or "").strip()
-    if not route_id:
-        logger.warning("build_stop_time_updates: run missing route_id (run=%s)", run)
-        return stop_time_update
-
-    try:
-        route_stops = _load_route_stops(csv_file_path=_CSV_FILE_PATH)
-    except FileNotFoundError:
-        logger.exception("Route stops CSV not found at %s", _CSV_FILE_PATH)
-        return stop_time_update
-
-    # Primary match: route_id AND shape_id
-    filtered_stops = route_stops[
-        (route_stops["route_id"].astype(str) == route_id)
-        & (route_stops["shape_id"].astype(str) == shape_id)
-    ]
-
-    # Fallback: match on route_id only (if shape_id is unknown or unmapped)
-    if filtered_stops.empty:
-        logger.info(
-            "No CSV rows for route_id=%r shape_id=%r — falling back to route_id only",
-            route_id,
-            shape_id,
-        )
-        filtered_stops = route_stops[
-            route_stops["route_id"].astype(str) == route_id
-        ]
-
-    if filtered_stops.empty:
-        logger.warning(
-            "build_stop_time_updates: no stops for route_id=%r (CSV has routes=%s)",
-            route_id,
-            sorted(route_stops["route_id"].astype(str).unique().tolist()),
-        )
-        return stop_time_update
-
-    # Ensure ascending order so we walk stops in sequence
-    filtered_stops = filtered_stops.sort_values("stop_sequence")
-
-    current_stop_sequence = _safe_int(
-        progression.get("current_stop_sequence"), default=-1
-    )
-    current_status = (progression.get("current_status") or "").upper()
-
-    arrival_time = datetime.now() + timedelta(
-        minutes=random.randint(0, _ARRIVAL_MAX_MIN)
-    )
-
-    for _, row in filtered_stops.iterrows():
-        stop_sequence = int(row["stop_sequence"])
-
-        # Skip stops the vehicle has already passed
-        if stop_sequence < current_stop_sequence:
-            continue
-
-        # If the bus is currently stopped at this sequence, the next ETA is
-        # the following stop, so skip the current one.
-        if (
-            current_status == "STOPPED_AT"
-            and stop_sequence == current_stop_sequence
-        ):
-            continue
-
-        stop_entry = _generate_stop_entry(
-            arrival_time=arrival_time,
-            stop_sequence=stop_sequence,
-            stop_id=row["stop_id"],
-            uncertainty=_UNCERTAINTY_S,
-        )
-        stop_time_update.append(stop_entry)
-        arrival_time += timedelta(
-            seconds=random.randint(_TIME_OFFSET_MIN_S, _TIME_OFFSET_MAX_S)
-        )
-
-    logger.debug(
-        "build_stop_time_updates: route_id=%s shape_id=%s current_seq=%s status=%s -> %d stops",
-        route_id,
-        shape_id,
-        current_stop_sequence,
-        current_status,
-        len(stop_time_update),
-    )
-    return stop_time_update

From 1f8ba1b55c991c3bebce5dc06e414b62d7f2218a Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Sat, 27 Jun 2026 00:18:05 -0600
Subject: [PATCH 06/68] feat(feed): publish GTFS Schedule zip from the database

Generate a valid GTFS Schedule feed.zip from the feed app's ORM models
(loaded from feed/fixtures/gtfs.json) and serve it at
/feed/schedule/feed.zip, mirroring the GTFS-RT pipeline.

- feed/schedule/exporter.py: build_gtfs_zip() serializes one Feed's rows
  into GTFS .txt files (columns derived by model introspection) and
  publish_gtfs_zip() writes feed/files/gtfs.zip atomically.
- schedule_engine.tasks.build_schedule: Celery task + daily beat entry.
- feed export_gtfs management command for on-demand/boot generation.
- docker-entrypoint.sh: export on boot only if gtfs.zip is absent.
- feed.views.schedule: serve gtfs.zip, 404 when not yet generated.
- Minimal exporter test; pytest-django settings in pyproject.toml.
---
 backend/databus/celery.py                     |   4 +
 backend/docker-entrypoint.sh                  |   6 +
 backend/feed/management/__init__.py           |   0
 backend/feed/management/commands/__init__.py  |   0
 .../feed/management/commands/export_gtfs.py   |  25 +++
 backend/feed/schedule/exporter.py             | 183 ++++++++++++++++++
 backend/feed/tests.py                         |  49 ++++-
 backend/feed/views.py                         |  11 +-
 backend/pyproject.toml                        |   3 +
 backend/schedule_engine/tasks.py              |  19 ++
 10 files changed, 296 insertions(+), 4 deletions(-)
 create mode 100644 backend/feed/management/__init__.py
 create mode 100644 backend/feed/management/commands/__init__.py
 create mode 100644 backend/feed/management/commands/export_gtfs.py
 create mode 100644 backend/feed/schedule/exporter.py

diff --git a/backend/databus/celery.py b/backend/databus/celery.py
index 9cd91fb..d980fa8 100644
--- a/backend/databus/celery.py
+++ b/backend/databus/celery.py
@@ -50,4 +50,8 @@ def debug_task(self):
         "task": "realtime_engine.tasks.scan_stale_runs",
         "schedule": timedelta(seconds=30),
     },
+    "build-schedule-daily": {
+        "task": "schedule_engine.tasks.build_schedule",
+        "schedule": timedelta(days=1),
+    },
 }
diff --git a/backend/docker-entrypoint.sh b/backend/docker-entrypoint.sh
index fb5f203..e266438 100755
--- a/backend/docker-entrypoint.sh
+++ b/backend/docker-entrypoint.sh
@@ -237,6 +237,12 @@ load_initial_data() {
     if [ -f feed/fixtures/gtfs.json ]; then
         log "Loading initial data fixture gtfs.json"
         uv run python manage.py loaddata gtfs.json || warn "Initial data load failed"
+        if [ -f feed/files/gtfs.zip ]; then
+            log "GTFS Schedule zip already present; skipping export (daily task or 'manage.py export_gtfs' will refresh it)"
+        else
+            log "Exporting GTFS Schedule zip"
+            uv run python manage.py export_gtfs || warn "GTFS Schedule zip export skipped"
+        fi
     else
         log "No optional initial data fixture gtfs.json present"
     fi
diff --git a/backend/feed/management/__init__.py b/backend/feed/management/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/backend/feed/management/commands/__init__.py b/backend/feed/management/commands/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/backend/feed/management/commands/export_gtfs.py b/backend/feed/management/commands/export_gtfs.py
new file mode 100644
index 0000000..ac36b91
--- /dev/null
+++ b/backend/feed/management/commands/export_gtfs.py
@@ -0,0 +1,25 @@
+"""Management command: export the current GTFS feed to feed/files/gtfs.zip."""
+
+from django.core.management.base import BaseCommand, CommandError
+
+from feed.models import Feed
+from feed.schedule.exporter import publish_gtfs_zip
+
+
+class Command(BaseCommand):
+    help = "Export the current GTFS feed (is_current=True) to feed/files/gtfs.zip"
+
+    def handle(self, *args, **options) -> None:
+        feed = Feed.objects.filter(is_current=True).first()
+        if feed is None:
+            raise CommandError(
+                "No Feed with is_current=True found. "
+                "Load the fixture first: manage.py loaddata gtfs.json"
+            )
+
+        dest = publish_gtfs_zip(feed)
+        self.stdout.write(
+            self.style.SUCCESS(
+                f"GTFS Schedule zip exported: {dest} ({dest.stat().st_size} bytes)"
+            )
+        )
diff --git a/backend/feed/schedule/exporter.py b/backend/feed/schedule/exporter.py
new file mode 100644
index 0000000..5b128ad
--- /dev/null
+++ b/backend/feed/schedule/exporter.py
@@ -0,0 +1,183 @@
+"""GTFS Schedule zip exporter.
+
+Reads the Django ORM (the Django-coupled analog of builders.py) and serialises
+one Feed instance's rows into a standards-compliant GTFS .zip archive returned
+as bytes.  Also exposes ``publish_gtfs_zip`` to write the archive to disk
+atomically; this shared helper is used by both the Celery task and the
+management command.
+"""
+
+from __future__ import annotations
+
+import csv
+import io
+import zipfile
+from pathlib import Path
+from typing import TYPE_CHECKING
+
+from django.db import models as db_models
+
+from feed.models import (
+    Agency,
+    Calendar,
+    CalendarDate,
+    FareAttribute,
+    FareRule,
+    FeedInfo,
+    Route,
+    Shape,
+    Stop,
+    StopTime,
+    Trip,
+)
+
+if TYPE_CHECKING:
+    from feed.models import Feed
+
+
+# ---------------------------------------------------------------------------
+# Field introspection helpers
+# ---------------------------------------------------------------------------
+
+_EXCLUDE_NAMES: frozenset[str] = frozenset(
+    {"id", "feed", "geoshape", "stop_point", "stop_heading", "holiday_name"}
+)
+
+
+def _gtfs_fields(model: type[db_models.Model]) -> list[tuple[str, db_models.Field]]:
+    """Return ``(column_name, field)`` pairs for GTFS output in declaration order.
+
+    Excluded: the internal auto-pk, the ``feed`` FK, any field whose name
+    starts with ``linked_``, and the app-specific augmentation fields listed
+    in ``_EXCLUDE_NAMES``.  All remaining fields after exclusion are concrete
+    non-FK fields, so ``field.attname == field.name`` and equals the GTFS
+    column name.
+    """
+    result: list[tuple[str, db_models.Field]] = []
+    for field in model._meta.local_fields:
+        if field.name in _EXCLUDE_NAMES or field.name.startswith("linked_"):
+            continue
+        result.append((field.attname, field))
+    return result
+
+
+def _format_value(field: db_models.Field, value: object) -> str:
+    """Format a model field value as a GTFS CSV cell string."""
+    if value is None:
+        return ""
+    # DateField (but NOT DateTimeField which subclasses DateField)
+    if isinstance(field, db_models.DateField) and not isinstance(
+        field, db_models.DateTimeField
+    ):
+        return value.strftime("%Y%m%d")  # type: ignore[union-attr]
+    if isinstance(field, db_models.TimeField):
+        return value.strftime("%H:%M:%S")  # type: ignore[union-attr]
+    if isinstance(field, db_models.BooleanField):
+        return "1" if value else "0"
+    return str(value)
+
+
+# ---------------------------------------------------------------------------
+# Zip assembly
+# ---------------------------------------------------------------------------
+
+
+def _write_txt(
+    zf: zipfile.ZipFile,
+    filename: str,
+    model: type[db_models.Model],
+    queryset,
+) -> None:
+    """Write one GTFS ``.txt`` file into *zf*.
+
+    The file is omitted from the archive if the queryset has zero rows.
+    """
+    fields = _gtfs_fields(model)
+    columns = [col for col, _ in fields]
+
+    buf = io.StringIO()
+    writer = csv.writer(buf)
+    writer.writerow(columns)
+
+    count = 0
+    for obj in queryset.iterator():
+        row = [_format_value(fld, getattr(obj, col)) for col, fld in fields]
+        writer.writerow(row)
+        count += 1
+
+    if count > 0:
+        zf.writestr(filename, buf.getvalue())
+
+
+# ---------------------------------------------------------------------------
+# Public API
+# ---------------------------------------------------------------------------
+
+
+def build_gtfs_zip(feed: "Feed") -> bytes:
+    """Serialise one ``Feed`` instance into a GTFS zip and return the raw bytes."""
+    buf = io.BytesIO()
+    with zipfile.ZipFile(buf, "w", compression=zipfile.ZIP_DEFLATED) as zf:
+        _write_txt(zf, "agency.txt", Agency, Agency.objects.filter(feed=feed))
+        _write_txt(zf, "stops.txt", Stop, Stop.objects.filter(feed=feed))
+        _write_txt(zf, "routes.txt", Route, Route.objects.filter(feed=feed))
+        _write_txt(zf, "calendar.txt", Calendar, Calendar.objects.filter(feed=feed))
+        _write_txt(
+            zf,
+            "calendar_dates.txt",
+            CalendarDate,
+            CalendarDate.objects.filter(feed=feed),
+        )
+        _write_txt(
+            zf,
+            "shapes.txt",
+            Shape,
+            Shape.objects.filter(feed=feed).order_by("shape_id", "shape_pt_sequence"),
+        )
+        _write_txt(zf, "trips.txt", Trip, Trip.objects.filter(feed=feed))
+        _write_txt(
+            zf,
+            "stop_times.txt",
+            StopTime,
+            StopTime.objects.filter(feed=feed).order_by("trip_id", "stop_sequence"),
+        )
+        _write_txt(
+            zf,
+            "fare_attributes.txt",
+            FareAttribute,
+            FareAttribute.objects.filter(feed=feed),
+        )
+        _write_txt(
+            zf,
+            "fare_rules.txt",
+            FareRule,
+            FareRule.objects.filter(feed=feed),
+        )
+        _write_txt(
+            zf,
+            "feed_info.txt",
+            FeedInfo,
+            FeedInfo.objects.filter(feed=feed),
+        )
+    return buf.getvalue()
+
+
+def publish_gtfs_zip(feed: "Feed", output_dir: Path | None = None) -> Path:
+    """Build the GTFS zip and write it atomically to ``<output_dir>/gtfs.zip``.
+
+    If *output_dir* is ``None``, defaults to ``settings.BASE_DIR / "feed" / "files"``.
+    Uses a ``.tmp`` staging file and ``Path.replace`` (atomic rename) to avoid
+    partially-written files being served.  Returns the final ``Path``.
+    """
+    from django.conf import settings
+
+    if output_dir is None:
+        output_dir = settings.BASE_DIR / "feed" / "files"
+
+    output_dir.mkdir(parents=True, exist_ok=True)
+    dest = output_dir / "gtfs.zip"
+    tmp = output_dir / "gtfs.zip.tmp"
+
+    tmp.write_bytes(build_gtfs_zip(feed))
+    tmp.replace(dest)
+    return dest
diff --git a/backend/feed/tests.py b/backend/feed/tests.py
index 7ce503c..237a4f5 100644
--- a/backend/feed/tests.py
+++ b/backend/feed/tests.py
@@ -1,3 +1,50 @@
+import io
+import zipfile
+
 from django.test import TestCase
 
-# Create your tests here.
+from feed.models import Feed
+from feed.schedule.exporter import build_gtfs_zip
+
+
+class TestBuildGtfsZip(TestCase):
+    """Minimal smoke tests for the GTFS Schedule zip exporter.
+
+    Requires a PostGIS-enabled test database (models use PointField /
+    LineStringField).  The fixture loads ~22 stops and 1117 stop_times.
+    """
+
+    fixtures = ["gtfs.json"]
+
+    def _feed(self) -> Feed:
+        feed = Feed.objects.filter(is_current=True).first()
+        self.assertIsNotNone(feed, "Fixture must contain a Feed with is_current=True")
+        return feed  # type: ignore[return-value]
+
+    def test_returns_valid_zip_with_required_files(self) -> None:
+        data = build_gtfs_zip(self._feed())
+        self.assertIsInstance(data, bytes)
+        self.assertGreater(len(data), 0)
+        with zipfile.ZipFile(io.BytesIO(data)) as zf:
+            names = zf.namelist()
+        for required in ("agency.txt", "stops.txt", "stop_times.txt"):
+            self.assertIn(required, names, f"{required} missing from zip")
+
+    def test_stops_txt_header_and_row_count(self) -> None:
+        data = build_gtfs_zip(self._feed())
+        with zipfile.ZipFile(io.BytesIO(data)) as zf:
+            text = zf.read("stops.txt").decode()
+        lines = [line for line in text.splitlines() if line.strip()]
+        header_cols = lines[0].split(",")
+        self.assertIn("stop_id", header_cols)
+        self.assertIn("stop_lat", header_cols)
+        # 1 header + 22 data rows
+        self.assertEqual(len(lines), 23, f"Expected 23 lines, got {len(lines)}")
+
+    def test_stop_times_row_count(self) -> None:
+        data = build_gtfs_zip(self._feed())
+        with zipfile.ZipFile(io.BytesIO(data)) as zf:
+            text = zf.read("stop_times.txt").decode()
+        lines = [line for line in text.splitlines() if line.strip()]
+        # 1 header + 1117 data rows
+        self.assertEqual(len(lines), 1118, f"Expected 1118 lines, got {len(lines)}")
diff --git a/backend/feed/views.py b/backend/feed/views.py
index eec06cb..ff86346 100644
--- a/backend/feed/views.py
+++ b/backend/feed/views.py
@@ -1,6 +1,6 @@
 from django.shortcuts import render
 from django.conf import settings
-from django.http import FileResponse
+from django.http import FileResponse, HttpResponseNotFound
 from django.views.decorators.clickjacking import xframe_options_exempt
 
 # Create your views here.
@@ -11,8 +11,13 @@ def status(request):
 
 
 def schedule(request):
-    file_path = settings.BASE_DIR / "feed" / "files" / "bUCR_GTFS.zip"
-    return FileResponse(open(file_path, "rb"), filename="bUCR_GTFS.zip")
+    file_path = settings.BASE_DIR / "feed" / "files" / "gtfs.zip"
+    if not file_path.exists():
+        return HttpResponseNotFound(
+            "GTFS Schedule zip not yet available. "
+            "Run 'manage.py export_gtfs' or wait for the hourly Celery task."
+        )
+    return FileResponse(open(file_path, "rb"), as_attachment=True, filename="gtfs.zip")
 
 
 @xframe_options_exempt
diff --git a/backend/pyproject.toml b/backend/pyproject.toml
index dffe940..22ad948 100644
--- a/backend/pyproject.toml
+++ b/backend/pyproject.toml
@@ -44,6 +44,9 @@ dev = [
     "watchfiles>=0.24.0",
 ]
 
+[tool.pytest.ini_options]
+DJANGO_SETTINGS_MODULE = "databus.settings"
+
 [tool.uv.workspace]
 members = [
     "gtfs-io",
diff --git a/backend/schedule_engine/tasks.py b/backend/schedule_engine/tasks.py
index fdea835..17cbdfd 100644
--- a/backend/schedule_engine/tasks.py
+++ b/backend/schedule_engine/tasks.py
@@ -100,3 +100,22 @@ def build_trip_updates():
 @shared_task(queue="schedule_engine")
 def build_alerts():
     return "Feed ServiceAlert built"
+
+
+@shared_task(queue="schedule_engine")
+def build_schedule():
+    """Build the GTFS Schedule zip and publish it to feed/files/gtfs.zip."""
+    import logging
+
+    logger = logging.getLogger(__name__)
+
+    from feed.models import Feed
+    from feed.schedule.exporter import publish_gtfs_zip
+
+    feed = Feed.objects.filter(is_current=True).first()
+    if feed is None:
+        logger.warning("build_schedule: no current Feed found, skipping")
+        return
+
+    dest = publish_gtfs_zip(feed)
+    return f"GTFS Schedule zip published: {dest} ({dest.stat().st_size} bytes)"

From c5ef42b2ac5499823959aedbeaea0eae19de5fa5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Fabi=C3=A1n=20Abarca=20Calder=C3=B3n?=
 <ensinergia@gmail.com>
Date: Thu, 9 Jul 2026 12:21:34 -0300
Subject: [PATCH 07/68] chore(tasks): sketch of the HTTP telemetry fetching
 bridge

---
 backend/operations/models.py     |   8 +++
 backend/schedule_engine/tasks.py | 103 ++++++++++++++++++++++++++++++-
 2 files changed, 110 insertions(+), 1 deletion(-)

diff --git a/backend/operations/models.py b/backend/operations/models.py
index 2bc0bd2..65507d6 100644
--- a/backend/operations/models.py
+++ b/backend/operations/models.py
@@ -70,6 +70,14 @@ class Vehicle(models.Model):
     )
     label = models.CharField(max_length=100, blank=True, null=True)
     license_plate = models.CharField(max_length=31)
+    position_source_type = models.CharField(
+        max_length=100,
+        blank=True,
+        null=True,
+        choices=[("mqtt", "MQTT"), ("http", "HTTP"), ("both", "Both")],
+    )
+    position_source_url = models.URLField(blank=True, null=True)
+    position_source_paths = models.JSONField(blank=True, null=True)
     wheelchair_accessible = models.CharField(
         max_length=100,
         blank=True,
diff --git a/backend/schedule_engine/tasks.py b/backend/schedule_engine/tasks.py
index fdea835..86a1aea 100644
--- a/backend/schedule_engine/tasks.py
+++ b/backend/schedule_engine/tasks.py
@@ -1,5 +1,5 @@
 import os
-from celery import shared_task
+from celery import chord, group, shared_task
 from channels.layers import get_channel_layer
 from asgiref.sync import async_to_sync
 import json
@@ -9,6 +9,12 @@
 from google.transit import gtfs_realtime_pb2 as gtfs_rt
 from google.protobuf import json_format
 
+# Probably needed imports for telemetry fetching
+import requests
+import paho.mqtt.client as mqtt
+from operations.models import Vehicle
+
+
 from .builders import (
     build_vehicle_positions_feed,
     build_trip_updates_feed,
@@ -97,6 +103,101 @@ def build_trip_updates():
     return f"TripUpdates built: {len(feed_message['entity'])} entities"
 
 
+def fetch_and_publish(vehicle):
+    response = requests.get(vehicle.position_source_url, timeout=10)
+    response.raise_for_status()
+    data = response.json()
+
+    # Extract relevant fields from the JSON response using the position_source_paths mapping
+    timestamp = data.get(vehicle.position_source_paths.get("paths").get("timestamp"))
+    lat = data.get(vehicle.position_source_paths.get("paths").get("lat"))
+    lon = data.get(vehicle.position_source_paths.get("paths").get("lon"))
+    speed = data.get(vehicle.position_source_paths.get("paths").get("speed"))
+
+    # Publish to MQTT broker
+    mqtt_client = mqtt.Client()
+    mqtt_client.connect(settings.MQTT_BROKER_HOST, settings.MQTT_BROKER_PORT, 60)
+    topic = f"vehicle/{vehicle.id}/position"
+    payload = json.dumps(
+        {"timestamp": timestamp, "lat": lat, "lon": lon, "speed": speed}
+    )
+    mqtt_client.publish(topic, payload)
+    mqtt_client.disconnect()
+    return None
+
+
+@shared_task(queue="schedule_engine")
+def fetch_position():
+    """
+    Fetch telemetry position data from configured sources.
+
+    Using the TelemetrySources model, this task retrieves telemetry data from various sources.
+
+    The retrieved data is then processed relayed to the MQTT broker for further use in the system.
+
+    type: array
+    vehicle_id: JSON PATH
+    timestamp: JSON PATH element.crDateTime
+    lat: JSON PATH
+    lon: JSON PATH
+    speed: JSON PATH
+
+    position_source_paths = {
+       "type": "array",
+       "paths": {
+           "vehicle_id": "plateNumber",
+           "timestamp": "crDateTime",
+           "lat": "latitude",
+           "lon": "longitude",
+           "speed": "speed"
+       }
+    }
+
+    Publish to MQTT broker at topic: vehicle/<vehicle_id>/position with payload:
+    {
+        "timestamp": <timestamp>,
+        "lat": <lat>,
+        "lon": <lon>,
+        "speed": <speed>
+    }
+    """
+    vehicles_in_runs_in_progress = get_redis().smembers("runs:in_progress")
+    for vehicle_in_progress in vehicles_in_runs_in_progress:
+        vehicle = Vehicle.objects.get(id=vehicle_in_progress)
+        if vehicle.position_source_type == "mqtt":
+            # Check if the vehicle has updated positions in Redis
+            position_data = get_redis().get(f"vehicle:{vehicle.id}:position")
+            if position_data:
+                continue  # Position data already exists, skip fetching
+            elif vehicle.position_source_type == "both":
+                try:
+                    fetch_and_publish(vehicle)
+                except requests.RequestException as e:
+                    print(f"Error fetching position for vehicle {vehicle.id}: {e}")
+                except Exception as e:
+                    print(f"Unexpected error for vehicle {vehicle.id}: {e}")
+        elif vehicle.position_source_type == "http":
+            try:
+                fetch_and_publish(vehicle)
+            except requests.RequestException as e:
+                print(f"Error fetching position for vehicle {vehicle.id}: {e}")
+            except Exception as e:
+                print(f"Unexpected error for vehicle {vehicle.id}: {e}")
+    return "Position data fetched and published to MQTT broker"
+
+
 @shared_task(queue="schedule_engine")
 def build_alerts():
     return "Feed ServiceAlert built"
+
+
+@shared_task(queue="schedule_engine")
+def update_gtfs_realtime():
+
+    fetching = group(fetch_position.s())
+    building = group(
+        build_vehicle_positions.s(), build_trip_updates.s(), build_alerts.s()
+    )
+    workflow = chord(fetching)(building)
+
+    return workflow.id

From 4c55e5b282ebb5763f628fab13f3a16888d89d30 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Fabi=C3=A1n=20Abarca=20Calder=C3=B3n?=
 <ensinergia@gmail.com>
Date: Mon, 20 Jul 2026 15:51:47 -0300
Subject: [PATCH 08/68] feat(models): enhance Company and Operator models, add
 Equipment and Sensor classes

---
 backend/operations/models.py | 123 ++++++++++++++++++-----------------
 1 file changed, 62 insertions(+), 61 deletions(-)

diff --git a/backend/operations/models.py b/backend/operations/models.py
index 65507d6..df11682 100644
--- a/backend/operations/models.py
+++ b/backend/operations/models.py
@@ -9,15 +9,14 @@
 
 class Company(models.Model):
     """
-    A wrapper for the Agency model from GTFS.
+    A wrapper for the Agency model from GTFS. The legal entity behind it.
     """
 
     id = models.CharField(max_length=100, primary_key=True)
-    linked_agency = models.OneToOneField(
-        Agency, on_delete=models.SET_NULL, blank=True, null=True
-    )
+    linked_agency = models.ManyToManyField(Agency, blank=True)
     name = models.CharField(max_length=100)
     description = models.TextField(blank=True, null=True)
+    legal_id = models.CharField(max_length=100, blank=True, null=True)
     phone = models.CharField(max_length=100, blank=True, null=True)
     email = models.EmailField(blank=True, null=True)
     website = models.URLField(blank=True, null=True)
@@ -29,11 +28,18 @@ def __str__(self):
 
 
 class Operator(models.Model):
+    """
+    A person. A driver, dispatcher or administrator of a given company.
+    """
+
     id = models.CharField(max_length=100, primary_key=True, unique=True)
     user = models.OneToOneField(User, on_delete=models.CASCADE)
     company = models.ManyToManyField(Company)
     phone = models.CharField(max_length=100, blank=True, null=True)
     photo = models.ImageField(upload_to="operators/", blank=True, null=True)
+    is_driver = models.BooleanField(default=False)
+    is_dispatcher = models.BooleanField(default=False)
+    is_administrator = models.BooleanField(default=False)
 
     def __str__(self):
         return f"{self.user.first_name} {self.user.last_name} ({self.id})"
@@ -41,7 +47,7 @@ def __str__(self):
 
 class DataProvider(models.Model):
     """
-    A GTFS and telemetry data provider for a given company.
+    A GTFS and telemetry data provider for a given company. Owner of the equipments.
     """
 
     id = models.CharField(max_length=127, primary_key=True)
@@ -57,6 +63,10 @@ def __str__(self):
 
 
 class Vehicle(models.Model):
+    """
+    A vehicle belonging to a company. Used in GTFS.
+    """
+
     AMENITIES_CHOICES = [
         ("NO_VALUE", "No hay información"),
         ("UNKNOWN", "Desconocido"),
@@ -70,14 +80,6 @@ class Vehicle(models.Model):
     )
     label = models.CharField(max_length=100, blank=True, null=True)
     license_plate = models.CharField(max_length=31)
-    position_source_type = models.CharField(
-        max_length=100,
-        blank=True,
-        null=True,
-        choices=[("mqtt", "MQTT"), ("http", "HTTP"), ("both", "Both")],
-    )
-    position_source_url = models.URLField(blank=True, null=True)
-    position_source_paths = models.JSONField(blank=True, null=True)
     wheelchair_accessible = models.CharField(
         max_length=100,
         blank=True,
@@ -111,7 +113,6 @@ class Vehicle(models.Model):
         choices=[
             ("IN_SERVICE", "En servicio"),
             ("OUT_OF_SERVICE", "Fuera de servicio"),
-            ("SOLD", "Vendido"),
             ("ON_FIRE", "En llamas"),
         ],
     )
@@ -122,34 +123,20 @@ def __str__(self):
 
 class Equipment(models.Model):
     id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
-
     data_provider = models.ForeignKey(
         DataProvider, on_delete=models.PROTECT, blank=True, null=True
     )
+    name = models.CharField(max_length=100, blank=True, null=True)
     vehicle = models.ForeignKey(
         Vehicle, on_delete=models.PROTECT, blank=True, null=True
     )
-    # Equipment information
+    # Hardware/firmware information
     serial_number = models.CharField(max_length=100, blank=True, null=True)
     brand = models.CharField(max_length=100)
     model = models.CharField(max_length=100)
     os_version = models.CharField(max_length=100, blank=True, null=True)
     app_version = models.CharField(max_length=100, blank=True, null=True)
-    # Data provided
-    provides_vehicle = models.BooleanField(default=False)
-    provides_operator = models.BooleanField(default=False)
-    provides_run = models.BooleanField(default=False)
-    provides_position = models.BooleanField(default=False)
-    provides_progression = models.BooleanField(default=False)
-    provides_occupancy = models.BooleanField(default=False)
-    provides_conditions = models.BooleanField(default=False)
-    provides_emissions = models.BooleanField(default=False)
-    provides_travelers = models.BooleanField(default=False)
-    provides_authorizations = models.BooleanField(default=False)
-    provides_fares = models.BooleanField(default=False)
-    provides_transfers = models.BooleanField(default=False)
-    provides_alerts = models.BooleanField(default=False)
-    # Registration
+
     status = models.CharField(
         max_length=100,
         choices=[("ACTIVE", "Activo"), ("INACTIVE", "Inactivo")],
@@ -169,41 +156,20 @@ def save(self, *args, **kwargs):
             model=self.model,
             os_version=self.os_version,
             app_version=self.app_version,
-            provides_vehicle=self.provides_vehicle,
-            provides_operator=self.provides_operator,
-            provides_run=self.provides_run,
-            provides_position=self.provides_position,
-            provides_progression=self.provides_progression,
-            provides_occupancy=self.provides_occupancy,
-            provides_conditions=self.provides_conditions,
-            provides_emissions=self.provides_emissions,
-            provides_travelers=self.provides_travelers,
-            provides_authorizations=self.provides_authorizations,
-            provides_fares=self.provides_fares,
-            provides_transfers=self.provides_transfers,
-            provides_alerts=self.provides_alerts,
             status=self.status,
         )
 
-    def _str_(self):
+    def __str__(self):
         return f"{self.data_provider}: {self.brand} {self.model} ({self.id})"
 
 
-class EquipmentLog(models.Model):
-    equipment = models.ForeignKey(Equipment, on_delete=models.PROTECT)
-    data_provider = models.ForeignKey(
-        DataProvider, on_delete=models.PROTECT, blank=True, null=True
-    )
-    vehicle = models.ForeignKey(
-        Vehicle, on_delete=models.PROTECT, blank=True, null=True
+class Sensor(models.Model):
+    id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
+    name = models.CharField(max_length=100, blank=True, null=True)
+    equipment = models.ForeignKey(
+        Equipment, on_delete=models.PROTECT, blank=True, null=True
     )
-    # Equipment information
-    serial_number = models.CharField(max_length=100, blank=True, null=True)
-    brand = models.CharField(max_length=100)
-    model = models.CharField(max_length=100)
-    os_version = models.CharField(max_length=100, blank=True, null=True)
-    app_version = models.CharField(max_length=100, blank=True, null=True)
-    # Data provided
+    # Data provided (type of sensor)
     provides_vehicle = models.BooleanField(default=False)
     provides_operator = models.BooleanField(default=False)
     provides_run = models.BooleanField(default=False)
@@ -218,12 +184,47 @@ class EquipmentLog(models.Model):
     provides_transfers = models.BooleanField(default=False)
     provides_alerts = models.BooleanField(default=False)
     # Registration
+    source_type = models.CharField(
+        max_length=16,
+        blank=True,
+        null=True,
+        choices=[("mqtt", "MQTT"), ("http", "HTTP"), ("both", "Both")],
+    )
+    source_http_url = models.URLField(blank=True, null=True)
+    source_json_mapping = models.JSONField(blank=True, null=True)
+
+    status = models.CharField(
+        max_length=100,
+        choices=[("ACTIVE", "Activo"), ("INACTIVE", "Inactivo")],
+        default="ACTIVE",
+    )
+    created_at = models.DateTimeField(auto_now_add=True)
+    updated_at = models.DateTimeField(auto_now=True)
+
+    def __str__(self):
+        return f"{self.name} ({self.id})"
+
+
+class EquipmentLog(models.Model):
+    equipment = models.ForeignKey(Equipment, on_delete=models.PROTECT)
+    data_provider = models.ForeignKey(
+        DataProvider, on_delete=models.PROTECT, blank=True, null=True
+    )
+    vehicle = models.ForeignKey(
+        Vehicle, on_delete=models.PROTECT, blank=True, null=True
+    )
+    # Equipment information
+    serial_number = models.CharField(max_length=100, blank=True, null=True)
+    brand = models.CharField(max_length=100)
+    model = models.CharField(max_length=100)
+    os_version = models.CharField(max_length=100, blank=True, null=True)
+    app_version = models.CharField(max_length=100, blank=True, null=True)
     status = models.CharField(
         max_length=100,
         choices=[("ACTIVE", "Activo"), ("INACTIVE", "Inactivo")],
         default="ACTIVE",
     )
-    updated_at = models.DateTimeField(auto_now_add=True)
+    updated_at = models.DateTimeField(auto_now=True)
 
-    def _str_(self):
+    def __str__(self):
         return f"{self.data_provider}: {self.brand} {self.model} ({self.updated_at})"

From 5e1c4198db52b1e4ec4600aa292d4f8a8144514c Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Tue, 21 Jul 2026 14:35:41 -0600
Subject: [PATCH 09/68] feat(operations): migrate Sensor model and drift
 reconciliation

Generates the pending schema for the Sensor model (moved provides_*
flags off Equipment/EquipmentLog) plus the Company.linked_agency
ManyToMany conversion and Vehicle.status SOLD removal already present
in models.py.
---
 ...move_equipment_provides_alerts_and_more.py | 191 ++++++++++++++++++
 1 file changed, 191 insertions(+)
 create mode 100644 backend/operations/migrations/0002_remove_equipment_provides_alerts_and_more.py

diff --git a/backend/operations/migrations/0002_remove_equipment_provides_alerts_and_more.py b/backend/operations/migrations/0002_remove_equipment_provides_alerts_and_more.py
new file mode 100644
index 0000000..3f6c664
--- /dev/null
+++ b/backend/operations/migrations/0002_remove_equipment_provides_alerts_and_more.py
@@ -0,0 +1,191 @@
+# Generated by Django 6.0.4 on 2026-07-21 20:33
+
+import django.db.models.deletion
+import uuid
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('feed', '0001_initial'),
+        ('operations', '0001_initial'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='equipment',
+            name='provides_alerts',
+        ),
+        migrations.RemoveField(
+            model_name='equipment',
+            name='provides_authorizations',
+        ),
+        migrations.RemoveField(
+            model_name='equipment',
+            name='provides_conditions',
+        ),
+        migrations.RemoveField(
+            model_name='equipment',
+            name='provides_emissions',
+        ),
+        migrations.RemoveField(
+            model_name='equipment',
+            name='provides_fares',
+        ),
+        migrations.RemoveField(
+            model_name='equipment',
+            name='provides_occupancy',
+        ),
+        migrations.RemoveField(
+            model_name='equipment',
+            name='provides_operator',
+        ),
+        migrations.RemoveField(
+            model_name='equipment',
+            name='provides_position',
+        ),
+        migrations.RemoveField(
+            model_name='equipment',
+            name='provides_progression',
+        ),
+        migrations.RemoveField(
+            model_name='equipment',
+            name='provides_run',
+        ),
+        migrations.RemoveField(
+            model_name='equipment',
+            name='provides_transfers',
+        ),
+        migrations.RemoveField(
+            model_name='equipment',
+            name='provides_travelers',
+        ),
+        migrations.RemoveField(
+            model_name='equipment',
+            name='provides_vehicle',
+        ),
+        migrations.RemoveField(
+            model_name='equipmentlog',
+            name='provides_alerts',
+        ),
+        migrations.RemoveField(
+            model_name='equipmentlog',
+            name='provides_authorizations',
+        ),
+        migrations.RemoveField(
+            model_name='equipmentlog',
+            name='provides_conditions',
+        ),
+        migrations.RemoveField(
+            model_name='equipmentlog',
+            name='provides_emissions',
+        ),
+        migrations.RemoveField(
+            model_name='equipmentlog',
+            name='provides_fares',
+        ),
+        migrations.RemoveField(
+            model_name='equipmentlog',
+            name='provides_occupancy',
+        ),
+        migrations.RemoveField(
+            model_name='equipmentlog',
+            name='provides_operator',
+        ),
+        migrations.RemoveField(
+            model_name='equipmentlog',
+            name='provides_position',
+        ),
+        migrations.RemoveField(
+            model_name='equipmentlog',
+            name='provides_progression',
+        ),
+        migrations.RemoveField(
+            model_name='equipmentlog',
+            name='provides_run',
+        ),
+        migrations.RemoveField(
+            model_name='equipmentlog',
+            name='provides_transfers',
+        ),
+        migrations.RemoveField(
+            model_name='equipmentlog',
+            name='provides_travelers',
+        ),
+        migrations.RemoveField(
+            model_name='equipmentlog',
+            name='provides_vehicle',
+        ),
+        migrations.AddField(
+            model_name='company',
+            name='legal_id',
+            field=models.CharField(blank=True, max_length=100, null=True),
+        ),
+        migrations.AddField(
+            model_name='equipment',
+            name='name',
+            field=models.CharField(blank=True, max_length=100, null=True),
+        ),
+        migrations.AddField(
+            model_name='operator',
+            name='is_administrator',
+            field=models.BooleanField(default=False),
+        ),
+        migrations.AddField(
+            model_name='operator',
+            name='is_dispatcher',
+            field=models.BooleanField(default=False),
+        ),
+        migrations.AddField(
+            model_name='operator',
+            name='is_driver',
+            field=models.BooleanField(default=False),
+        ),
+        migrations.RemoveField(
+            model_name='company',
+            name='linked_agency',
+        ),
+        migrations.AlterField(
+            model_name='equipmentlog',
+            name='updated_at',
+            field=models.DateTimeField(auto_now=True),
+        ),
+        migrations.AlterField(
+            model_name='vehicle',
+            name='status',
+            field=models.CharField(blank=True, choices=[('IN_SERVICE', 'En servicio'), ('OUT_OF_SERVICE', 'Fuera de servicio'), ('ON_FIRE', 'En llamas')], max_length=100, null=True),
+        ),
+        migrations.CreateModel(
+            name='Sensor',
+            fields=[
+                ('id', models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)),
+                ('name', models.CharField(blank=True, max_length=100, null=True)),
+                ('provides_vehicle', models.BooleanField(default=False)),
+                ('provides_operator', models.BooleanField(default=False)),
+                ('provides_run', models.BooleanField(default=False)),
+                ('provides_position', models.BooleanField(default=False)),
+                ('provides_progression', models.BooleanField(default=False)),
+                ('provides_occupancy', models.BooleanField(default=False)),
+                ('provides_conditions', models.BooleanField(default=False)),
+                ('provides_emissions', models.BooleanField(default=False)),
+                ('provides_travelers', models.BooleanField(default=False)),
+                ('provides_authorizations', models.BooleanField(default=False)),
+                ('provides_fares', models.BooleanField(default=False)),
+                ('provides_transfers', models.BooleanField(default=False)),
+                ('provides_alerts', models.BooleanField(default=False)),
+                ('source_type', models.CharField(blank=True, choices=[('mqtt', 'MQTT'), ('http', 'HTTP'), ('both', 'Both')], max_length=16, null=True)),
+                ('source_http_url', models.URLField(blank=True, null=True)),
+                ('source_json_mapping', models.JSONField(blank=True, null=True)),
+                ('status', models.CharField(choices=[('ACTIVE', 'Activo'), ('INACTIVE', 'Inactivo')], default='ACTIVE', max_length=100)),
+                ('created_at', models.DateTimeField(auto_now_add=True)),
+                ('updated_at', models.DateTimeField(auto_now=True)),
+                ('equipment', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='operations.equipment')),
+            ],
+        ),
+        migrations.AddField(
+            model_name='company',
+            name='linked_agency',
+            field=models.ManyToManyField(blank=True, to='feed.agency'),
+        ),
+    ]

From d4dd3f02e8492025a0db004bfd96a892f21cd6a4 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Tue, 21 Jul 2026 14:35:47 -0600
Subject: [PATCH 10/68] feat(operations): register Sensor in the admin site

---
 backend/operations/admin.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/backend/operations/admin.py b/backend/operations/admin.py
index 5dd46d4..eee055b 100644
--- a/backend/operations/admin.py
+++ b/backend/operations/admin.py
@@ -6,6 +6,7 @@
     Company,
     Equipment,
     EquipmentLog,
+    Sensor,
 )
 
 # Register your models here.
@@ -16,3 +17,4 @@
 admin.site.register(Company, admin.GISModelAdmin)
 admin.site.register(Equipment)
 admin.site.register(EquipmentLog)
+admin.site.register(Sensor)

From fdaaf15f56e2cff87e6478a1604c9e46b7249ab4 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Tue, 21 Jul 2026 14:36:25 -0600
Subject: [PATCH 11/68] chore(config): add MQTT_HOST and MQTT_PORT env vars

The telemetry publisher/consumer read these from the environment but
they were never declared in the env files.
---
 .env.dev     | 4 ++++
 .env.example | 4 ++++
 2 files changed, 8 insertions(+)

diff --git a/.env.dev b/.env.dev
index 2dce194..103485f 100644
--- a/.env.dev
+++ b/.env.dev
@@ -5,6 +5,10 @@ LOG_LEVEL=DEBUG
 CREATE_SUPERUSER=True
 RUN_MIGRATIONS=True
 
+# MQTT Configuration
+MQTT_HOST=telemetry-broker
+MQTT_PORT=1883
+
 # ETA model registry (dev default; seed once with seed_baseline_model)
 MODEL_REGISTRY_DIR=eta_models
 ETA_MAX_STOPS=10
diff --git a/.env.example b/.env.example
index 6da2348..23c41e2 100644
--- a/.env.example
+++ b/.env.example
@@ -25,6 +25,10 @@ REDIS_PASSWORD=redispassword
 # Google Maps API Key
 API_TOKEN=
 
+# MQTT Configuration
+MQTT_HOST=telemetry-broker
+MQTT_PORT=1883
+
 # HiveMQ Configuration
 HIVEMQ_LOG_LEVEL=INFO
 

From 4b13631e80ac0814250a42e984048d87079065ef Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Tue, 21 Jul 2026 14:36:41 -0600
Subject: [PATCH 12/68] feat(realtime): add pluggable HTTP telemetry source
 adapter package
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Introduces realtime_engine/sources/ — a registry of source adapters that
fetch vehicle position data and normalize it into the shared position
telemetry contract:

- transforms.py: unit conversions (km/h->m/s, km->m) and Costa Rica local
  timestamp parsing ported from navsat-bridge, plus a dotted-path getter.
- base.py: SourceAdapter protocol and a string-keyed adapter registry.
- http_json.py: a generic HTTP+JSON adapter (kind="http") driven entirely
  by a sensor's source_http_url/source_json_mapping, so new HTTP feeds
  (e.g. NavSat) need no per-provider code.
- publisher.py: paho-mqtt v2 publishing of normalized positions to
  transit/vehicle/<id>/position, matching the existing ingestion consumer.
---
 backend/realtime_engine/sources/__init__.py   |  12 ++
 backend/realtime_engine/sources/base.py       |  54 ++++++
 backend/realtime_engine/sources/http_json.py  | 172 ++++++++++++++++++
 backend/realtime_engine/sources/publisher.py  |  78 ++++++++
 backend/realtime_engine/sources/transforms.py |  64 +++++++
 5 files changed, 380 insertions(+)
 create mode 100644 backend/realtime_engine/sources/__init__.py
 create mode 100644 backend/realtime_engine/sources/base.py
 create mode 100644 backend/realtime_engine/sources/http_json.py
 create mode 100644 backend/realtime_engine/sources/publisher.py
 create mode 100644 backend/realtime_engine/sources/transforms.py

diff --git a/backend/realtime_engine/sources/__init__.py b/backend/realtime_engine/sources/__init__.py
new file mode 100644
index 0000000..e0ce08b
--- /dev/null
+++ b/backend/realtime_engine/sources/__init__.py
@@ -0,0 +1,12 @@
+"""Pluggable telemetry source adapters.
+
+Importing this package registers all built-in adapters (currently the
+generic HTTP+JSON adapter, kind ``"http"``) with the ``base`` registry, so
+``get_adapter("http")`` works immediately after
+``import realtime_engine.sources``.
+"""
+
+from . import http_json  # noqa: F401 -- import for its registration side effect
+from .base import get_adapter, register
+
+__all__ = ["get_adapter", "register"]
diff --git a/backend/realtime_engine/sources/base.py b/backend/realtime_engine/sources/base.py
new file mode 100644
index 0000000..380f347
--- /dev/null
+++ b/backend/realtime_engine/sources/base.py
@@ -0,0 +1,54 @@
+"""Pluggable telemetry source adapter contract + registry.
+
+A ``SourceAdapter`` fetches raw vehicle telemetry from wherever a Sensor is
+configured to read from (HTTP endpoint today; MQTT bridge, file, etc. could
+follow) and normalizes it into ``(vehicle_id, position_payload)`` tuples
+ready to be published on the MQTT topic ``transit/vehicle/<id>/position``
+(see ``publisher.py``).
+
+Kept tiny and dependency-free — no Django, no requests, no paho — so
+importing this module never has side effects and adapters can be unit
+tested without any I/O.
+"""
+
+from __future__ import annotations
+
+from typing import Protocol
+
+
+class SourceAdapter(Protocol):
+    def fetch(self, sensor) -> list[tuple[str, dict]]:
+        """Fetch and normalize telemetry for a sensor.
+
+        Returns a list of ``(vehicle_id, position_payload)`` tuples. Each
+        payload is a dict shaped for
+        ``runs.domain.telemetry.position.validate_for_write`` (i.e. at
+        least ``latitude``/``longitude``, with any of ``bearing``,
+        ``speed``, ``odometer``, ``timestamp`` included only when known).
+        """
+        ...
+
+
+_REGISTRY: dict[str, SourceAdapter] = {}
+
+
+def register(kind: str):
+    """Class/function decorator registering an adapter under ``kind``.
+
+    Usable on a class (instantiated once at registration time) or on an
+    already-constructed adapter instance/function.
+    """
+
+    def _decorator(adapter):
+        _REGISTRY[kind] = adapter() if isinstance(adapter, type) else adapter
+        return adapter
+
+    return _decorator
+
+
+def get_adapter(kind: str) -> SourceAdapter:
+    """Look up a registered adapter by kind. Raises ``KeyError`` if unknown."""
+    try:
+        return _REGISTRY[kind]
+    except KeyError as exc:
+        raise KeyError(f"No source adapter registered for kind={kind!r}") from exc
diff --git a/backend/realtime_engine/sources/http_json.py b/backend/realtime_engine/sources/http_json.py
new file mode 100644
index 0000000..11ddf50
--- /dev/null
+++ b/backend/realtime_engine/sources/http_json.py
@@ -0,0 +1,172 @@
+"""Generic HTTP+JSON telemetry source adapter.
+
+Registered under kind ``"http"``. Driven entirely by a Sensor's
+``source_http_url`` and ``source_json_mapping`` fields — no per-provider
+code is needed for JSON-over-HTTP feeds that fit the mapping schema below.
+
+Mapping schema (NavSat is the first concrete instance)::
+
+    {
+      "type": "array",                 # or anything else for a single object
+      "paths": {
+        "vehicle_id": "plateNumber",
+        "timestamp": "crDateTime",
+        "lat": "latitude",
+        "lon": "longitude",
+        "speed": "speed",
+        "odometer": "odometer"
+      },
+      "units": {"speed": "kmh", "odometer": "km"},
+      "timestamp": {"format": "%Y-%m-%d %H:%M:%S", "tz": "America/Costa_Rica"}
+    }
+
+Only ``lat``/``lon`` are effectively required in ``paths`` — a record that
+can't yield both is skipped. ``vehicle_id`` is resolved from the mapped
+path when present; otherwise the adapter falls back to the sensor's own
+equipment/vehicle association. Any malformed record is logged and skipped
+rather than failing the whole batch.
+
+Django models are never imported here; ``sensor`` is accessed structurally
+(duck-typed) and only inside ``fetch``, so this module stays importable and
+testable without Django configured.
+"""
+
+from __future__ import annotations
+
+import logging
+
+import requests
+
+from . import base
+from .transforms import get_by_path, km_to_m, kmh_to_ms, parse_cr_datetime
+
+logger = logging.getLogger(__name__)
+
+DEFAULT_TIMEOUT_S = 10
+
+
+def _convert_unit(field: str, value, units: dict):
+    if value is None:
+        return None
+    unit = units.get(field)
+    if unit == "kmh":
+        return kmh_to_ms(float(value))
+    if unit == "km":
+        return km_to_m(float(value))
+    return value
+
+
+def _extract_record(record: dict, mapping: dict) -> dict | None:
+    """Extract a position payload + vehicle_id (if mapped) from one record.
+
+    Returns ``None`` when latitude/longitude can't be resolved — the caller
+    treats that as "skip this record".
+    """
+    paths = mapping.get("paths", {})
+    units = mapping.get("units", {})
+    ts_cfg = mapping.get("timestamp", {})
+
+    lat_path = paths.get("lat")
+    lon_path = paths.get("lon")
+    lat = get_by_path(record, lat_path) if lat_path else None
+    lon = get_by_path(record, lon_path) if lon_path else None
+    if lat is None or lon is None:
+        return None
+
+    payload: dict = {
+        "latitude": float(lat),
+        "longitude": float(lon),
+    }
+
+    speed_path = paths.get("speed")
+    if speed_path:
+        raw_speed = get_by_path(record, speed_path)
+        converted = _convert_unit("speed", raw_speed, units)
+        if converted is not None:
+            payload["speed"] = converted
+
+    odometer_path = paths.get("odometer")
+    if odometer_path:
+        raw_odometer = get_by_path(record, odometer_path)
+        converted = _convert_unit("odometer", raw_odometer, units)
+        if converted is not None:
+            payload["odometer"] = converted
+
+    bearing_path = paths.get("bearing")
+    if bearing_path:
+        raw_bearing = get_by_path(record, bearing_path)
+        if raw_bearing is not None:
+            payload["bearing"] = float(raw_bearing)
+
+    timestamp_path = paths.get("timestamp")
+    if timestamp_path:
+        raw_ts = get_by_path(record, timestamp_path)
+        if raw_ts is not None:
+            fmt = ts_cfg.get("format", "%Y-%m-%d %H:%M:%S")
+            tz = ts_cfg.get("tz", "America/Costa_Rica")
+            try:
+                payload["timestamp"] = parse_cr_datetime(str(raw_ts), fmt=fmt, tz=tz)
+            except (ValueError, TypeError):
+                logger.warning("Could not parse timestamp %r — omitting field", raw_ts)
+
+    vehicle_id = None
+    vehicle_id_path = paths.get("vehicle_id")
+    if vehicle_id_path:
+        raw_vehicle_id = get_by_path(record, vehicle_id_path)
+        if raw_vehicle_id is not None:
+            vehicle_id = str(raw_vehicle_id)
+
+    return {"vehicle_id": vehicle_id, "payload": payload}
+
+
+@base.register("http")
+class HttpJsonSourceAdapter:
+    """Fetches vehicle positions from a generic HTTP+JSON endpoint."""
+
+    def fetch(self, sensor) -> list[tuple[str, dict]]:
+        url = sensor.source_http_url
+        mapping = sensor.source_json_mapping or {}
+
+        try:
+            response = requests.get(url, timeout=DEFAULT_TIMEOUT_S)
+            response.raise_for_status()
+            body = response.json()
+        except Exception:
+            logger.exception("HTTP telemetry fetch failed for url=%s", url)
+            return []
+
+        records = body if mapping.get("type", "array") == "array" else [body]
+        if not isinstance(records, list):
+            logger.warning(
+                "Expected a list of records for url=%s, got %s — skipping",
+                url,
+                type(records),
+            )
+            return []
+
+        results: list[tuple[str, dict]] = []
+        for record in records:
+            try:
+                if not isinstance(record, dict):
+                    logger.warning("Skipping non-dict record: %r", record)
+                    continue
+
+                extracted = _extract_record(record, mapping)
+                if extracted is None:
+                    logger.warning(
+                        "Skipping record missing latitude/longitude: %r", record
+                    )
+                    continue
+
+                vehicle_id = extracted["vehicle_id"]
+                if not vehicle_id:
+                    # Lazy access — never imported/evaluated at module scope,
+                    # so this stays safe for isolated (non-DB) test runs.
+                    vehicle_id = str(sensor.equipment.vehicle_id)
+
+                results.append((vehicle_id, extracted["payload"]))
+            except Exception:
+                logger.exception("Skipping malformed record: %r", record)
+                continue
+
+        return results
diff --git a/backend/realtime_engine/sources/publisher.py b/backend/realtime_engine/sources/publisher.py
new file mode 100644
index 0000000..c1ef34f
--- /dev/null
+++ b/backend/realtime_engine/sources/publisher.py
@@ -0,0 +1,78 @@
+"""MQTT publishing for HTTP-sourced telemetry.
+
+Mirrors the paho-mqtt v2 client setup already used by the ingestion
+consumer (``realtime_engine/mqtt.py``) so messages published from here land
+on exactly the topics that consumer subscribes to:
+``transit/vehicle/<vehicle_id>/position``, QoS 0, not retained.
+"""
+
+from __future__ import annotations
+
+import json
+import logging
+import os
+
+import paho.mqtt.client as mqtt
+
+logger = logging.getLogger(__name__)
+
+MQTT_HOST = os.getenv("MQTT_HOST", "telemetry-broker")
+MQTT_PORT = int(os.getenv("MQTT_PORT", "1883"))
+
+POSITION_TOPIC_TEMPLATE = "transit/vehicle/{vehicle_id}/position"
+
+
+def position_topic(vehicle_id: str) -> str:
+    return POSITION_TOPIC_TEMPLATE.format(vehicle_id=vehicle_id)
+
+
+def publish_position(client: mqtt.Client, vehicle_id: str, payload: dict) -> None:
+    """Publish a single position payload for ``vehicle_id``.
+
+    Catches and logs publish errors per-message so one bad publish doesn't
+    take down the rest of a batch.
+    """
+    topic = position_topic(vehicle_id)
+    try:
+        client.publish(topic, json.dumps(payload), qos=0, retain=False)
+    except Exception:
+        logger.exception("Failed to publish position for vehicle %s", vehicle_id)
+
+
+class MqttPublisher:
+    """Thin wrapper managing a paho v2 client's connect/publish/disconnect cycle."""
+
+    def __init__(self, host: str | None = None, port: int | None = None):
+        self.host = host or MQTT_HOST
+        self.port = port or MQTT_PORT
+        self._client: mqtt.Client | None = None
+
+    def _build_client(self) -> mqtt.Client:
+        return mqtt.Client(mqtt.CallbackAPIVersion.VERSION2)
+
+    def connect(self) -> None:
+        self._client = self._build_client()
+        self._client.connect(self.host, self.port, keepalive=60)
+
+    def disconnect(self) -> None:
+        if self._client is None:
+            return
+        try:
+            self._client.disconnect()
+        except Exception:
+            logger.exception("Error disconnecting MQTT publisher client")
+        finally:
+            self._client = None
+
+    def publish_batch(self, records: list[tuple[str, dict]]) -> None:
+        """Connect, publish every ``(vehicle_id, payload)`` record, then disconnect.
+
+        Each record is published independently — a failure on one message
+        is logged (via ``publish_position``) without aborting the batch.
+        """
+        self.connect()
+        try:
+            for vehicle_id, payload in records:
+                publish_position(self._client, vehicle_id, payload)
+        finally:
+            self.disconnect()
diff --git a/backend/realtime_engine/sources/transforms.py b/backend/realtime_engine/sources/transforms.py
new file mode 100644
index 0000000..cf242c6
--- /dev/null
+++ b/backend/realtime_engine/sources/transforms.py
@@ -0,0 +1,64 @@
+"""Pure data-shape helpers for HTTP telemetry sources.
+
+Ported from navsat-bridge's ``transforms`` module (``kmh_to_ms``, ``km_to_m``,
+``parse_cr_datetime``) plus a small dotted-path getter used by the generic
+HTTP+JSON adapter (``http_json.py``) to pull values out of arbitrary JSON
+records.
+
+This module imports nothing beyond the stdlib, so it is safe to unit test
+in isolation and safe to import from anywhere without pulling in Django,
+requests, or paho-mqtt.
+"""
+
+from __future__ import annotations
+
+from datetime import datetime
+from zoneinfo import ZoneInfo
+
+DEFAULT_TZ = "America/Costa_Rica"
+DEFAULT_DATETIME_FORMAT = "%Y-%m-%d %H:%M:%S"
+
+
+def kmh_to_ms(speed_kmh: float) -> float:
+    """Kilometres per hour -> metres per second."""
+    return speed_kmh / 3.6
+
+
+def km_to_m(odometer_km: float) -> float:
+    """Kilometres -> metres."""
+    return odometer_km * 1000.0
+
+
+def parse_cr_datetime(
+    value: str,
+    fmt: str = DEFAULT_DATETIME_FORMAT,
+    tz: str = DEFAULT_TZ,
+) -> int:
+    """Parse a naive local datetime string to Unix epoch seconds.
+
+    Defaults match NavSat's naive ``America/Costa_Rica`` (UTC-6, no DST)
+    timestamps, but ``fmt``/``tz`` are overridable so the same helper can
+    serve any HTTP source whose mapping config specifies its own timestamp
+    shape. Raises ``ValueError`` on malformed or empty input.
+    """
+    naive = datetime.strptime(value, fmt)
+    aware = naive.replace(tzinfo=ZoneInfo(tz))
+    return int(aware.timestamp())
+
+
+def get_by_path(data: dict, path: str):
+    """Dotted-path getter over nested dicts, tolerant of missing keys.
+
+    ``get_by_path({"a": {"b": 1}}, "a.b")`` -> ``1``.
+    Any missing key, non-dict intermediate value, or empty path yields
+    ``None`` instead of raising.
+    """
+    if not path:
+        return None
+    current = data
+    for part in path.split("."):
+        if isinstance(current, dict) and part in current:
+            current = current[part]
+        else:
+            return None
+    return current

From 67cbb723a27e77a6cbe768fa9d6ed78f0dca4e27 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Tue, 21 Jul 2026 14:36:52 -0600
Subject: [PATCH 13/68] test(realtime): cover HTTP telemetry source adapters
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

DB-free unit tests for realtime_engine/sources/: unit conversions and
timestamp parsing, the HTTP+JSON adapter (array and single-object bodies,
unit conversion, malformed-record skipping, vehicle_id resolution from the
mapped path vs. sensor fallback, and contract compliance with
position.validate_for_write), and the MQTT publisher (topic/payload shape,
paho v2 client setup, batch publish/disconnect, per-message error handling).
Sensors are faked with SimpleNamespace and requests.get/paho are
monkeypatched — no HTTP, MQTT, or database access.
---
 .../realtime_engine/sources/tests/__init__.py |   0
 .../sources/tests/test_http_json.py           | 223 ++++++++++++++++++
 .../sources/tests/test_publisher.py           | 124 ++++++++++
 .../sources/tests/test_transforms.py          |  94 ++++++++
 4 files changed, 441 insertions(+)
 create mode 100644 backend/realtime_engine/sources/tests/__init__.py
 create mode 100644 backend/realtime_engine/sources/tests/test_http_json.py
 create mode 100644 backend/realtime_engine/sources/tests/test_publisher.py
 create mode 100644 backend/realtime_engine/sources/tests/test_transforms.py

diff --git a/backend/realtime_engine/sources/tests/__init__.py b/backend/realtime_engine/sources/tests/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/backend/realtime_engine/sources/tests/test_http_json.py b/backend/realtime_engine/sources/tests/test_http_json.py
new file mode 100644
index 0000000..e76430d
--- /dev/null
+++ b/backend/realtime_engine/sources/tests/test_http_json.py
@@ -0,0 +1,223 @@
+"""Unit tests for the generic HTTP+JSON source adapter (kind="http").
+
+No real HTTP, no Django ORM: ``requests.get`` is monkeypatched to return a
+fake response, and the "sensor" is a lightweight ``SimpleNamespace`` rather
+than the real Django model — this adapter only ever touches
+``sensor.source_http_url``, ``sensor.source_json_mapping``, and (as a
+fallback) ``sensor.equipment.vehicle_id``, all accessed structurally.
+"""
+
+from types import SimpleNamespace
+
+import pytest
+
+from realtime_engine.sources import http_json
+from runs.domain.telemetry import position
+
+NAVSAT_MAPPING = {
+    "type": "array",
+    "paths": {
+        "vehicle_id": "plateNumber",
+        "timestamp": "crDateTime",
+        "lat": "latitude",
+        "lon": "longitude",
+        "speed": "speed",
+        "odometer": "odometer",
+    },
+    "units": {"speed": "kmh", "odometer": "km"},
+    "timestamp": {"format": "%Y-%m-%d %H:%M:%S", "tz": "America/Costa_Rica"},
+}
+
+SAMPLE_RECORD = {
+    "plateNumber": "299-1014",
+    "crDateTime": "2026-07-21 14:19:19",
+    "latitude": 9.9355516,
+    "longitude": -84.0490749,
+    "odometer": 114879,
+    "speed": 0,
+}
+
+
+class FakeResponse:
+    def __init__(self, data):
+        self._data = data
+
+    def raise_for_status(self):
+        pass
+
+    def json(self):
+        return self._data
+
+
+def _make_sensor(mapping=NAVSAT_MAPPING, url="http://navsat.example/positions", vehicle_id="fallback-veh"):
+    return SimpleNamespace(
+        source_http_url=url,
+        source_json_mapping=mapping,
+        equipment=SimpleNamespace(vehicle_id=vehicle_id),
+    )
+
+
+# ---------------------------------------------------------------------------
+# Array handling, multiple records
+# ---------------------------------------------------------------------------
+
+
+def test_fetch_array_with_multiple_records(monkeypatch):
+    second_record = {**SAMPLE_RECORD, "plateNumber": "299-2020", "speed": 36}
+
+    def fake_get(url, timeout):
+        return FakeResponse([SAMPLE_RECORD, second_record])
+
+    monkeypatch.setattr(http_json.requests, "get", fake_get)
+
+    sensor = _make_sensor()
+    results = http_json.HttpJsonSourceAdapter().fetch(sensor)
+
+    assert len(results) == 2
+    vehicle_ids = {vid for vid, _ in results}
+    assert vehicle_ids == {"299-1014", "299-2020"}
+
+
+# ---------------------------------------------------------------------------
+# Single-object (non-array) handling
+# ---------------------------------------------------------------------------
+
+
+def test_fetch_single_object_body(monkeypatch):
+    mapping = {**NAVSAT_MAPPING, "type": "object"}
+
+    def fake_get(url, timeout):
+        return FakeResponse(SAMPLE_RECORD)
+
+    monkeypatch.setattr(http_json.requests, "get", fake_get)
+
+    sensor = _make_sensor(mapping=mapping)
+    results = http_json.HttpJsonSourceAdapter().fetch(sensor)
+
+    assert len(results) == 1
+    vehicle_id, payload = results[0]
+    assert vehicle_id == "299-1014"
+    assert payload["latitude"] == pytest.approx(9.9355516)
+    assert payload["longitude"] == pytest.approx(-84.0490749)
+
+
+# ---------------------------------------------------------------------------
+# Field extraction + unit conversion
+# ---------------------------------------------------------------------------
+
+
+def test_fetch_converts_units_correctly(monkeypatch):
+    record = {**SAMPLE_RECORD, "speed": 36, "odometer": 112}
+
+    def fake_get(url, timeout):
+        return FakeResponse([record])
+
+    monkeypatch.setattr(http_json.requests, "get", fake_get)
+
+    sensor = _make_sensor()
+    results = http_json.HttpJsonSourceAdapter().fetch(sensor)
+
+    assert len(results) == 1
+    _, payload = results[0]
+    assert payload["speed"] == pytest.approx(10.0)  # 36 km/h -> 10.0 m/s
+    assert payload["odometer"] == pytest.approx(112_000.0)  # 112 km -> 112000 m
+    assert isinstance(payload["timestamp"], int)
+    assert payload["timestamp"] > 0
+
+
+# ---------------------------------------------------------------------------
+# Malformed record skipped without killing the batch
+# ---------------------------------------------------------------------------
+
+
+def test_fetch_skips_malformed_record_without_failing_batch(monkeypatch):
+    good_record = SAMPLE_RECORD
+    missing_latlon = {"plateNumber": "BAD-1", "crDateTime": "2026-07-21 14:19:19"}
+    bad_timestamp = {**SAMPLE_RECORD, "plateNumber": "BAD-2", "crDateTime": "not-a-date"}
+    non_dict_record = "this is not a record"
+
+    def fake_get(url, timeout):
+        return FakeResponse([good_record, missing_latlon, bad_timestamp, non_dict_record])
+
+    monkeypatch.setattr(http_json.requests, "get", fake_get)
+
+    sensor = _make_sensor()
+    results = http_json.HttpJsonSourceAdapter().fetch(sensor)
+
+    vehicle_ids = {vid for vid, _ in results}
+    # missing_latlon is dropped entirely (no lat/lon).
+    assert "BAD-1" not in vehicle_ids
+    # bad_timestamp keeps its lat/lon; only the timestamp field is omitted.
+    assert "BAD-2" in vehicle_ids
+    bad_ts_payload = next(p for vid, p in results if vid == "BAD-2")
+    assert "timestamp" not in bad_ts_payload
+    # The good record still comes through.
+    assert good_record["plateNumber"] in vehicle_ids
+
+
+def test_fetch_http_error_returns_empty_list(monkeypatch):
+    def fake_get(url, timeout):
+        raise ConnectionError("boom")
+
+    monkeypatch.setattr(http_json.requests, "get", fake_get)
+
+    sensor = _make_sensor()
+    results = http_json.HttpJsonSourceAdapter().fetch(sensor)
+
+    assert results == []
+
+
+# ---------------------------------------------------------------------------
+# vehicle_id resolution: mapped path vs. sensor fallback
+# ---------------------------------------------------------------------------
+
+
+def test_fetch_uses_vehicle_id_from_mapped_path(monkeypatch):
+    def fake_get(url, timeout):
+        return FakeResponse([SAMPLE_RECORD])
+
+    monkeypatch.setattr(http_json.requests, "get", fake_get)
+
+    sensor = _make_sensor(vehicle_id="should-not-be-used")
+    results = http_json.HttpJsonSourceAdapter().fetch(sensor)
+
+    vehicle_id, _ = results[0]
+    assert vehicle_id == "299-1014"
+
+
+def test_fetch_falls_back_to_sensor_equipment_vehicle_id_when_no_mapping(monkeypatch):
+    mapping = {**NAVSAT_MAPPING, "paths": {k: v for k, v in NAVSAT_MAPPING["paths"].items() if k != "vehicle_id"}}
+
+    def fake_get(url, timeout):
+        return FakeResponse([SAMPLE_RECORD])
+
+    monkeypatch.setattr(http_json.requests, "get", fake_get)
+
+    sensor = _make_sensor(mapping=mapping, vehicle_id="fallback-veh-123")
+    results = http_json.HttpJsonSourceAdapter().fetch(sensor)
+
+    vehicle_id, _ = results[0]
+    assert vehicle_id == "fallback-veh-123"
+
+
+# ---------------------------------------------------------------------------
+# Contract compliance: produced payloads must pass position.validate_for_write
+# ---------------------------------------------------------------------------
+
+
+def test_fetch_produces_payloads_valid_for_position_contract(monkeypatch):
+    record = {**SAMPLE_RECORD, "speed": 36, "odometer": 112}
+
+    def fake_get(url, timeout):
+        return FakeResponse([record])
+
+    monkeypatch.setattr(http_json.requests, "get", fake_get)
+
+    sensor = _make_sensor()
+    results = http_json.HttpJsonSourceAdapter().fetch(sensor)
+
+    _, payload = results[0]
+    # Must not raise -- validates required lat/lon and coercible optionals.
+    mapping = position.validate_for_write(payload)
+    assert "latitude" in mapping
+    assert "longitude" in mapping
diff --git a/backend/realtime_engine/sources/tests/test_publisher.py b/backend/realtime_engine/sources/tests/test_publisher.py
new file mode 100644
index 0000000..c079dfb
--- /dev/null
+++ b/backend/realtime_engine/sources/tests/test_publisher.py
@@ -0,0 +1,124 @@
+"""Unit tests for realtime_engine.sources.publisher.
+
+No real MQTT broker: the paho client is a MagicMock throughout, and
+``MqttPublisher._build_client`` is monkeypatched so ``connect()`` never
+touches the network.
+"""
+
+import json
+from unittest.mock import MagicMock, call
+
+from realtime_engine.sources import publisher
+
+
+# ---------------------------------------------------------------------------
+# publish_position
+# ---------------------------------------------------------------------------
+
+
+def test_publish_position_uses_correct_topic_and_json_body():
+    client = MagicMock()
+    payload = {"latitude": 9.93, "longitude": -84.05, "speed": 10.0}
+
+    publisher.publish_position(client, "299-1014", payload)
+
+    client.publish.assert_called_once_with(
+        "transit/vehicle/299-1014/position",
+        json.dumps(payload),
+        qos=0,
+        retain=False,
+    )
+
+
+def test_publish_position_swallows_client_errors():
+    client = MagicMock()
+    client.publish.side_effect = RuntimeError("broker unreachable")
+
+    # Must not raise.
+    publisher.publish_position(client, "299-1014", {"latitude": 1.0, "longitude": 2.0})
+
+
+def test_position_topic_format():
+    assert publisher.position_topic("abc-123") == "transit/vehicle/abc-123/position"
+
+
+# ---------------------------------------------------------------------------
+# MqttPublisher lifecycle
+# ---------------------------------------------------------------------------
+
+
+def test_mqtt_publisher_connect_builds_client_and_connects(monkeypatch):
+    mock_client = MagicMock()
+    pub = publisher.MqttPublisher(host="broker-host", port=1884)
+    monkeypatch.setattr(pub, "_build_client", lambda: mock_client)
+
+    pub.connect()
+
+    mock_client.connect.assert_called_once_with("broker-host", 1884, keepalive=60)
+
+
+def test_mqtt_publisher_disconnect_is_safe_when_not_connected():
+    pub = publisher.MqttPublisher()
+    # Must not raise even though connect() was never called.
+    pub.disconnect()
+
+
+def test_mqtt_publisher_publish_batch_connects_publishes_all_then_disconnects(monkeypatch):
+    mock_client = MagicMock()
+    pub = publisher.MqttPublisher()
+    monkeypatch.setattr(pub, "_build_client", lambda: mock_client)
+
+    records = [
+        ("veh-1", {"latitude": 1.0, "longitude": 2.0}),
+        ("veh-2", {"latitude": 3.0, "longitude": 4.0}),
+    ]
+    pub.publish_batch(records)
+
+    mock_client.connect.assert_called_once()
+    assert mock_client.publish.call_count == 2
+    mock_client.publish.assert_has_calls(
+        [
+            call(
+                "transit/vehicle/veh-1/position",
+                json.dumps({"latitude": 1.0, "longitude": 2.0}),
+                qos=0,
+                retain=False,
+            ),
+            call(
+                "transit/vehicle/veh-2/position",
+                json.dumps({"latitude": 3.0, "longitude": 4.0}),
+                qos=0,
+                retain=False,
+            ),
+        ]
+    )
+    mock_client.disconnect.assert_called_once()
+
+
+def test_mqtt_publisher_publish_batch_disconnects_even_if_publish_raises(monkeypatch):
+    mock_client = MagicMock()
+    mock_client.publish.side_effect = RuntimeError("boom")
+    pub = publisher.MqttPublisher()
+    monkeypatch.setattr(pub, "_build_client", lambda: mock_client)
+
+    # publish_position catches the error internally, so this must not raise,
+    # and disconnect must still be called.
+    pub.publish_batch([("veh-1", {"latitude": 1.0, "longitude": 2.0})])
+
+    mock_client.disconnect.assert_called_once()
+
+
+def test_build_client_uses_paho_v2_callback_api(monkeypatch):
+    captured = {}
+
+    class FakeClient:
+        def __init__(self, callback_api_version):
+            captured["callback_api_version"] = callback_api_version
+
+    monkeypatch.setattr(publisher.mqtt, "Client", FakeClient)
+
+    pub = publisher.MqttPublisher()
+    client = pub._build_client()
+
+    assert isinstance(client, FakeClient)
+    assert captured["callback_api_version"] == publisher.mqtt.CallbackAPIVersion.VERSION2
diff --git a/backend/realtime_engine/sources/tests/test_transforms.py b/backend/realtime_engine/sources/tests/test_transforms.py
new file mode 100644
index 0000000..2b799b1
--- /dev/null
+++ b/backend/realtime_engine/sources/tests/test_transforms.py
@@ -0,0 +1,94 @@
+"""Unit conversion + parsing invariants for realtime_engine.sources.transforms.
+
+Pure functions, no Django/Redis/HTTP required. Mirrors the coverage of the
+navsat-bridge transforms tests these were ported from.
+"""
+
+from datetime import UTC, datetime
+
+import pytest
+
+from realtime_engine.sources.transforms import get_by_path, km_to_m, kmh_to_ms, parse_cr_datetime
+
+
+# ---------------------------------------------------------------------------
+# kmh_to_ms / km_to_m
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.parametrize(
+    "kmh, ms",
+    [
+        (0, 0.0),
+        (36, 10.0),  # classic sanity pair
+        (90, 25.0),
+        (100, 27.77777777777778),
+    ],
+)
+def test_kmh_to_ms(kmh, ms):
+    assert kmh_to_ms(kmh) == pytest.approx(ms)
+
+
+@pytest.mark.parametrize(
+    "km, m",
+    [
+        (0, 0.0),
+        (1, 1000.0),
+        (112, 112_000.0),  # NavSat odometer example
+    ],
+)
+def test_km_to_m(km, m):
+    assert km_to_m(km) == pytest.approx(m)
+
+
+# ---------------------------------------------------------------------------
+# parse_cr_datetime
+# ---------------------------------------------------------------------------
+
+
+def test_parse_cr_datetime_known_value():
+    # 2026-07-21 14:19:19 America/Costa_Rica (UTC-6, no DST)
+    # = 2026-07-21 20:19:19 UTC
+    epoch = parse_cr_datetime("2026-07-21 14:19:19")
+    expected = datetime(2026, 7, 21, 20, 19, 19, tzinfo=UTC).timestamp()
+    assert epoch == int(expected)
+
+
+def test_parse_cr_datetime_rejects_garbage():
+    with pytest.raises(ValueError):
+        parse_cr_datetime("not a datetime")
+
+
+def test_parse_cr_datetime_honors_custom_format_and_tz():
+    # ISO-ish format, UTC — sanity check that fmt/tz are actually threaded through.
+    epoch = parse_cr_datetime("2026-01-01T00:00:00", fmt="%Y-%m-%dT%H:%M:%S", tz="UTC")
+    assert epoch == int(datetime(2026, 1, 1, tzinfo=UTC).timestamp())
+
+
+# ---------------------------------------------------------------------------
+# get_by_path
+# ---------------------------------------------------------------------------
+
+
+def test_get_by_path_top_level_hit():
+    assert get_by_path({"latitude": 9.93}, "latitude") == 9.93
+
+
+def test_get_by_path_nested_hit():
+    assert get_by_path({"a": {"b": {"c": 42}}}, "a.b.c") == 42
+
+
+def test_get_by_path_missing_key_returns_none():
+    assert get_by_path({"a": 1}, "b") is None
+
+
+def test_get_by_path_missing_nested_key_returns_none():
+    assert get_by_path({"a": {"b": 1}}, "a.x.y") is None
+
+
+def test_get_by_path_non_dict_intermediate_returns_none():
+    assert get_by_path({"a": 5}, "a.b") is None
+
+
+def test_get_by_path_empty_path_returns_none():
+    assert get_by_path({"a": 1}, "") is None

From 117f394184fff72249d4f46eb2f2faae99cbf1b2 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Tue, 21 Jul 2026 14:59:59 -0600
Subject: [PATCH 14/68] feat(realtime): add fetch_positions task for HTTP
 telemetry sources

Polls ACTIVE Sensor rows configured for HTTP position feeds (source_type
"http" or "both"), fetches readings via the pluggable adapter registry,
keeps only readings for vehicles currently running (per runs:in_progress),
and publishes the survivors on transit/vehicle/<id>/position. Per-sensor
failures are caught and logged so one bad source can't sink the poll.
---
 backend/realtime_engine/tasks.py              |  65 ++++++
 .../tests/test_fetch_positions.py             | 185 ++++++++++++++++++
 2 files changed, 250 insertions(+)
 create mode 100644 backend/realtime_engine/tests/test_fetch_positions.py

diff --git a/backend/realtime_engine/tasks.py b/backend/realtime_engine/tasks.py
index acf981f..de4acbe 100644
--- a/backend/realtime_engine/tasks.py
+++ b/backend/realtime_engine/tasks.py
@@ -66,6 +66,71 @@ def scan_stale_runs() -> str:
     return f"scan_stale_runs: checked {len(run_ids)} runs, fired {fired} events"
 
 
+@shared_task(queue="realtime_engine")
+def fetch_positions() -> str:
+    """Poll active HTTP telemetry sources and publish in-service vehicle positions.
+
+    1. Build the in-service vehicle-id set: every run in ``runs:in_progress``
+       contributes the ``vehicle`` field of its ``run:<run_id>`` hash.
+    2. Query ACTIVE sensors that provide position data over HTTP (source_type
+       "http" or "both" both use the "http" adapter).
+    3. Fetch each sensor's readings, keep only the ones for in-service
+       vehicles, and publish the survivors on ``transit/vehicle/<id>/position``.
+
+    Each sensor is fetched independently inside its own try/except so one
+    failing source can't sink the rest of the poll.
+    """
+    from operations.models import Sensor
+    from runs.domain.telemetry import keys
+    from realtime_engine.sources import get_adapter
+    from realtime_engine.sources.publisher import MqttPublisher
+
+    run_ids = redis_client.smembers("runs:in_progress")
+    in_service_vehicle_ids: set[str] = set()
+    for run_id in run_ids:
+        run_data = redis_client.hgetall(keys.run_key(run_id))
+        vehicle_id = run_data.get("vehicle")
+        if vehicle_id:
+            in_service_vehicle_ids.add(vehicle_id)
+
+    sensors = Sensor.objects.filter(
+        status="ACTIVE",
+        provides_position=True,
+        source_type__in=["http", "both"],
+    ).select_related("equipment__vehicle")
+
+    readings: list[tuple[str, dict]] = []
+    sensor_count = 0
+    failure_count = 0
+    for sensor in sensors:
+        sensor_count += 1
+        try:
+            adapter = get_adapter("http")
+            fetched = adapter.fetch(sensor)
+        except Exception:
+            failure_count += 1
+            logger.exception(
+                "Position fetch failed for sensor %s", getattr(sensor, "id", "?")
+            )
+            continue
+
+        for vehicle_id, payload in fetched:
+            if vehicle_id in in_service_vehicle_ids:
+                readings.append((vehicle_id, payload))
+
+    if readings:
+        try:
+            MqttPublisher().publish_batch(readings)
+        except Exception:
+            failure_count += 1
+            logger.exception("Failed to publish fetched positions batch")
+
+    return (
+        f"fetch_positions: polled {sensor_count} sensors, "
+        f"{failure_count} failures, published {len(readings)} positions"
+    )
+
+
 @shared_task(queue="realtime_engine")
 def process_position_update(run_id: str, vehicle_id: str) -> None:
     """Run server-side producers and detection for a position update.
diff --git a/backend/realtime_engine/tests/test_fetch_positions.py b/backend/realtime_engine/tests/test_fetch_positions.py
new file mode 100644
index 0000000..4e6c89f
--- /dev/null
+++ b/backend/realtime_engine/tests/test_fetch_positions.py
@@ -0,0 +1,185 @@
+"""Unit tests for realtime_engine.tasks.fetch_positions.
+
+No live database and no real MQTT broker: ``Sensor.objects`` is monkeypatched
+to return fake ``SimpleNamespace`` sensors (never touching Postgres), the
+adapter registry (``realtime_engine.sources.get_adapter``) and the publisher
+(``realtime_engine.sources.publisher.MqttPublisher``) are monkeypatched, and
+the module-level ``redis_client`` is replaced with a ``MagicMock`` — matching
+the same patch targets already used by ``test_mqtt_ingestion.py`` for this
+module.
+
+Importing ``realtime_engine.tasks`` pulls in the full Django app registry
+(pre-existing, via ``runs.services.lifecycle.RunLifecycleService`` at module
+scope) so this file needs ``DEBUG`` and ``DJANGO_SETTINGS_MODULE`` set, same
+as ``test_mqtt_ingestion.py`` in this same directory -- run it with e.g.
+``DEBUG=True DJANGO_SETTINGS_MODULE=databus.settings uv run pytest
+realtime_engine/tests/test_fetch_positions.py``. No test here ever queries a
+real database.
+"""
+
+from types import SimpleNamespace
+from unittest.mock import MagicMock
+
+from operations.models import Sensor
+
+import realtime_engine.sources as sources_module
+import realtime_engine.sources.publisher as publisher_module
+import realtime_engine.tasks as tasks_module
+from realtime_engine.tasks import fetch_positions
+from runs.domain.telemetry import keys
+
+RUN_ID = "run-1"
+IN_SERVICE_VEHICLE_ID = "veh-in-service"
+OUT_OF_SERVICE_VEHICLE_ID = "veh-out-of-service"
+
+
+def _make_sensor(sensor_id="sensor-1"):
+    return SimpleNamespace(
+        id=sensor_id,
+        source_http_url="http://example.test/positions",
+        source_json_mapping={},
+        equipment=SimpleNamespace(vehicle_id=IN_SERVICE_VEHICLE_ID),
+    )
+
+
+def _fake_redis(run_ids=(RUN_ID,), vehicle_by_run=None) -> MagicMock:
+    """Redis mock: runs:in_progress -> run_ids, run:<id> hash -> {'vehicle': ...}."""
+    vehicle_by_run = vehicle_by_run or {RUN_ID: IN_SERVICE_VEHICLE_ID}
+    r = MagicMock()
+    r.smembers.return_value = set(run_ids)
+
+    def _hgetall(key):
+        for run_id, vehicle_id in vehicle_by_run.items():
+            if key == keys.run_key(run_id):
+                return {"vehicle": vehicle_id}
+        return {}
+
+    r.hgetall.side_effect = _hgetall
+    return r
+
+
+def _fake_sensor_manager(sensors):
+    """A MagicMock standing in for Sensor.objects supporting filter().select_related()."""
+    manager = MagicMock()
+    manager.filter.return_value.select_related.return_value = sensors
+    return manager
+
+
+# ---------------------------------------------------------------------------
+# Only in-service vehicles get published; out-of-service readings are dropped
+# ---------------------------------------------------------------------------
+
+
+def test_fetch_positions_filters_out_of_service_vehicles(monkeypatch):
+    fake_r = _fake_redis()
+    monkeypatch.setattr(tasks_module, "redis_client", fake_r)
+
+    sensor = _make_sensor()
+    monkeypatch.setattr(Sensor, "objects", _fake_sensor_manager([sensor]))
+
+    fake_adapter = MagicMock()
+    fake_adapter.fetch.return_value = [
+        (IN_SERVICE_VEHICLE_ID, {"latitude": 1.0, "longitude": 2.0}),
+        (OUT_OF_SERVICE_VEHICLE_ID, {"latitude": 3.0, "longitude": 4.0}),
+    ]
+    monkeypatch.setattr(sources_module, "get_adapter", lambda kind: fake_adapter)
+
+    fake_publisher = MagicMock()
+    monkeypatch.setattr(
+        publisher_module, "MqttPublisher", lambda: fake_publisher
+    )
+
+    result = fetch_positions()
+
+    fake_publisher.publish_batch.assert_called_once()
+    (published_records,), _ = fake_publisher.publish_batch.call_args
+    published_vehicle_ids = {vid for vid, _ in published_records}
+    assert published_vehicle_ids == {IN_SERVICE_VEHICLE_ID}
+    assert "published 1" in result
+
+
+def test_fetch_positions_skips_publish_when_no_in_service_readings(monkeypatch):
+    fake_r = _fake_redis()
+    monkeypatch.setattr(tasks_module, "redis_client", fake_r)
+
+    sensor = _make_sensor()
+    monkeypatch.setattr(Sensor, "objects", _fake_sensor_manager([sensor]))
+
+    fake_adapter = MagicMock()
+    fake_adapter.fetch.return_value = [
+        (OUT_OF_SERVICE_VEHICLE_ID, {"latitude": 3.0, "longitude": 4.0}),
+    ]
+    monkeypatch.setattr(sources_module, "get_adapter", lambda kind: fake_adapter)
+
+    fake_publisher = MagicMock()
+    monkeypatch.setattr(
+        publisher_module, "MqttPublisher", lambda: fake_publisher
+    )
+
+    result = fetch_positions()
+
+    fake_publisher.publish_batch.assert_not_called()
+    assert "published 0" in result
+
+
+# ---------------------------------------------------------------------------
+# A raising source is isolated -- the task still succeeds and other sensors'
+# readings still get published.
+# ---------------------------------------------------------------------------
+
+
+def test_fetch_positions_isolates_a_raising_sensor(monkeypatch):
+    fake_r = _fake_redis()
+    monkeypatch.setattr(tasks_module, "redis_client", fake_r)
+
+    good_sensor = _make_sensor(sensor_id="sensor-good")
+    bad_sensor = _make_sensor(sensor_id="sensor-bad")
+    monkeypatch.setattr(
+        Sensor, "objects", _fake_sensor_manager([bad_sensor, good_sensor])
+    )
+
+    fake_adapter = MagicMock()
+
+    def _fetch(sensor):
+        if sensor.id == "sensor-bad":
+            raise ConnectionError("upstream is down")
+        return [(IN_SERVICE_VEHICLE_ID, {"latitude": 1.0, "longitude": 2.0})]
+
+    fake_adapter.fetch.side_effect = _fetch
+    monkeypatch.setattr(sources_module, "get_adapter", lambda kind: fake_adapter)
+
+    fake_publisher = MagicMock()
+    monkeypatch.setattr(
+        publisher_module, "MqttPublisher", lambda: fake_publisher
+    )
+
+    # Must not raise even though one sensor's fetch blows up.
+    result = fetch_positions()
+
+    fake_publisher.publish_batch.assert_called_once()
+    (published_records,), _ = fake_publisher.publish_batch.call_args
+    assert [vid for vid, _ in published_records] == [IN_SERVICE_VEHICLE_ID]
+    assert "polled 2 sensors" in result
+    assert "1 failures" in result
+
+
+def test_fetch_positions_queries_only_active_http_position_sensors(monkeypatch):
+    """Sanity-check the filter kwargs passed to Sensor.objects.filter."""
+    fake_r = _fake_redis(run_ids=())
+    monkeypatch.setattr(tasks_module, "redis_client", fake_r)
+
+    manager = _fake_sensor_manager([])
+    monkeypatch.setattr(Sensor, "objects", manager)
+    monkeypatch.setattr(sources_module, "get_adapter", lambda kind: MagicMock())
+    monkeypatch.setattr(publisher_module, "MqttPublisher", lambda: MagicMock())
+
+    fetch_positions()
+
+    manager.filter.assert_called_once_with(
+        status="ACTIVE",
+        provides_position=True,
+        source_type__in=["http", "both"],
+    )
+    manager.filter.return_value.select_related.assert_called_once_with(
+        "equipment__vehicle"
+    )

From c6c5e373e168dcd35d5d3894972597c8e11ceaee Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Tue, 21 Jul 2026 15:00:15 -0600
Subject: [PATCH 15/68] feat(celery): schedule fetch_positions every 10 seconds

Wires the new HTTP telemetry poll into beat alongside the other
realtime_engine periodic tasks.
---
 backend/databus/celery.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/backend/databus/celery.py b/backend/databus/celery.py
index 9cd91fb..0621e44 100644
--- a/backend/databus/celery.py
+++ b/backend/databus/celery.py
@@ -50,4 +50,8 @@ def debug_task(self):
         "task": "realtime_engine.tasks.scan_stale_runs",
         "schedule": timedelta(seconds=30),
     },
+    "fetch-positions": {
+        "task": "realtime_engine.tasks.fetch_positions",
+        "schedule": timedelta(seconds=10),
+    },
 }

From 33012144fafce37d266112ba092b4acc36d62807 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Tue, 21 Jul 2026 15:00:27 -0600
Subject: [PATCH 16/68] chore(schedule_engine): drop obsolete telemetry fetch
 sketch

fetch_position, fetch_and_publish, and update_gtfs_realtime were an early
sketch superseded by the pluggable HTTP source adapters and the new
realtime_engine.tasks.fetch_positions task. Removes the now-unused
requests/paho/Vehicle/chord/group imports along with them; the legitimate
builder tasks are untouched.
---
 backend/schedule_engine/tasks.py | 103 +------------------------------
 1 file changed, 1 insertion(+), 102 deletions(-)

diff --git a/backend/schedule_engine/tasks.py b/backend/schedule_engine/tasks.py
index 86a1aea..fdea835 100644
--- a/backend/schedule_engine/tasks.py
+++ b/backend/schedule_engine/tasks.py
@@ -1,5 +1,5 @@
 import os
-from celery import chord, group, shared_task
+from celery import shared_task
 from channels.layers import get_channel_layer
 from asgiref.sync import async_to_sync
 import json
@@ -9,12 +9,6 @@
 from google.transit import gtfs_realtime_pb2 as gtfs_rt
 from google.protobuf import json_format
 
-# Probably needed imports for telemetry fetching
-import requests
-import paho.mqtt.client as mqtt
-from operations.models import Vehicle
-
-
 from .builders import (
     build_vehicle_positions_feed,
     build_trip_updates_feed,
@@ -103,101 +97,6 @@ def build_trip_updates():
     return f"TripUpdates built: {len(feed_message['entity'])} entities"
 
 
-def fetch_and_publish(vehicle):
-    response = requests.get(vehicle.position_source_url, timeout=10)
-    response.raise_for_status()
-    data = response.json()
-
-    # Extract relevant fields from the JSON response using the position_source_paths mapping
-    timestamp = data.get(vehicle.position_source_paths.get("paths").get("timestamp"))
-    lat = data.get(vehicle.position_source_paths.get("paths").get("lat"))
-    lon = data.get(vehicle.position_source_paths.get("paths").get("lon"))
-    speed = data.get(vehicle.position_source_paths.get("paths").get("speed"))
-
-    # Publish to MQTT broker
-    mqtt_client = mqtt.Client()
-    mqtt_client.connect(settings.MQTT_BROKER_HOST, settings.MQTT_BROKER_PORT, 60)
-    topic = f"vehicle/{vehicle.id}/position"
-    payload = json.dumps(
-        {"timestamp": timestamp, "lat": lat, "lon": lon, "speed": speed}
-    )
-    mqtt_client.publish(topic, payload)
-    mqtt_client.disconnect()
-    return None
-
-
-@shared_task(queue="schedule_engine")
-def fetch_position():
-    """
-    Fetch telemetry position data from configured sources.
-
-    Using the TelemetrySources model, this task retrieves telemetry data from various sources.
-
-    The retrieved data is then processed relayed to the MQTT broker for further use in the system.
-
-    type: array
-    vehicle_id: JSON PATH
-    timestamp: JSON PATH element.crDateTime
-    lat: JSON PATH
-    lon: JSON PATH
-    speed: JSON PATH
-
-    position_source_paths = {
-       "type": "array",
-       "paths": {
-           "vehicle_id": "plateNumber",
-           "timestamp": "crDateTime",
-           "lat": "latitude",
-           "lon": "longitude",
-           "speed": "speed"
-       }
-    }
-
-    Publish to MQTT broker at topic: vehicle/<vehicle_id>/position with payload:
-    {
-        "timestamp": <timestamp>,
-        "lat": <lat>,
-        "lon": <lon>,
-        "speed": <speed>
-    }
-    """
-    vehicles_in_runs_in_progress = get_redis().smembers("runs:in_progress")
-    for vehicle_in_progress in vehicles_in_runs_in_progress:
-        vehicle = Vehicle.objects.get(id=vehicle_in_progress)
-        if vehicle.position_source_type == "mqtt":
-            # Check if the vehicle has updated positions in Redis
-            position_data = get_redis().get(f"vehicle:{vehicle.id}:position")
-            if position_data:
-                continue  # Position data already exists, skip fetching
-            elif vehicle.position_source_type == "both":
-                try:
-                    fetch_and_publish(vehicle)
-                except requests.RequestException as e:
-                    print(f"Error fetching position for vehicle {vehicle.id}: {e}")
-                except Exception as e:
-                    print(f"Unexpected error for vehicle {vehicle.id}: {e}")
-        elif vehicle.position_source_type == "http":
-            try:
-                fetch_and_publish(vehicle)
-            except requests.RequestException as e:
-                print(f"Error fetching position for vehicle {vehicle.id}: {e}")
-            except Exception as e:
-                print(f"Unexpected error for vehicle {vehicle.id}: {e}")
-    return "Position data fetched and published to MQTT broker"
-
-
 @shared_task(queue="schedule_engine")
 def build_alerts():
     return "Feed ServiceAlert built"
-
-
-@shared_task(queue="schedule_engine")
-def update_gtfs_realtime():
-
-    fetching = group(fetch_position.s())
-    building = group(
-        build_vehicle_positions.s(), build_trip_updates.s(), build_alerts.s()
-    )
-    workflow = chord(fetching)(building)
-
-    return workflow.id

From 567ef6867188fc8fb796b1bcd98a203f04259dec Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Tue, 21 Jul 2026 15:01:02 -0600
Subject: [PATCH 17/68] chore(operations): regenerate migrations at container
 start

operations/migrations was force-committed against the repo's convention of
gitignoring migrations/ and regenerating them at container start, and it
was missing from that regen list. Untracks the committed migration (it stays
on disk, now gitignored like its siblings) and adds "operations" to
APPS_TO_MIGRATE in docker-entrypoint.sh.
---
 backend/docker-entrypoint.sh                  |   2 +-
 ...move_equipment_provides_alerts_and_more.py | 191 ------------------
 2 files changed, 1 insertion(+), 192 deletions(-)
 delete mode 100644 backend/operations/migrations/0002_remove_equipment_provides_alerts_and_more.py

diff --git a/backend/docker-entrypoint.sh b/backend/docker-entrypoint.sh
index fb5f203..64ee836 100755
--- a/backend/docker-entrypoint.sh
+++ b/backend/docker-entrypoint.sh
@@ -196,7 +196,7 @@ wait_for_database() {
 
 run_makemigrations() {
     if is_true "${DEBUG:-False}"; then
-        APPS_TO_MIGRATE=("feed" "schedule_engine" "realtime_engine")
+        APPS_TO_MIGRATE=("feed" "schedule_engine" "realtime_engine" "operations")
         log "Creating migrations for: ${APPS_TO_MIGRATE[*]}"
         uv run python manage.py makemigrations "${APPS_TO_MIGRATE[@]}" || warn "No changes detected for migrations"
     else
diff --git a/backend/operations/migrations/0002_remove_equipment_provides_alerts_and_more.py b/backend/operations/migrations/0002_remove_equipment_provides_alerts_and_more.py
deleted file mode 100644
index 3f6c664..0000000
--- a/backend/operations/migrations/0002_remove_equipment_provides_alerts_and_more.py
+++ /dev/null
@@ -1,191 +0,0 @@
-# Generated by Django 6.0.4 on 2026-07-21 20:33
-
-import django.db.models.deletion
-import uuid
-from django.db import migrations, models
-
-
-class Migration(migrations.Migration):
-
-    dependencies = [
-        ('feed', '0001_initial'),
-        ('operations', '0001_initial'),
-    ]
-
-    operations = [
-        migrations.RemoveField(
-            model_name='equipment',
-            name='provides_alerts',
-        ),
-        migrations.RemoveField(
-            model_name='equipment',
-            name='provides_authorizations',
-        ),
-        migrations.RemoveField(
-            model_name='equipment',
-            name='provides_conditions',
-        ),
-        migrations.RemoveField(
-            model_name='equipment',
-            name='provides_emissions',
-        ),
-        migrations.RemoveField(
-            model_name='equipment',
-            name='provides_fares',
-        ),
-        migrations.RemoveField(
-            model_name='equipment',
-            name='provides_occupancy',
-        ),
-        migrations.RemoveField(
-            model_name='equipment',
-            name='provides_operator',
-        ),
-        migrations.RemoveField(
-            model_name='equipment',
-            name='provides_position',
-        ),
-        migrations.RemoveField(
-            model_name='equipment',
-            name='provides_progression',
-        ),
-        migrations.RemoveField(
-            model_name='equipment',
-            name='provides_run',
-        ),
-        migrations.RemoveField(
-            model_name='equipment',
-            name='provides_transfers',
-        ),
-        migrations.RemoveField(
-            model_name='equipment',
-            name='provides_travelers',
-        ),
-        migrations.RemoveField(
-            model_name='equipment',
-            name='provides_vehicle',
-        ),
-        migrations.RemoveField(
-            model_name='equipmentlog',
-            name='provides_alerts',
-        ),
-        migrations.RemoveField(
-            model_name='equipmentlog',
-            name='provides_authorizations',
-        ),
-        migrations.RemoveField(
-            model_name='equipmentlog',
-            name='provides_conditions',
-        ),
-        migrations.RemoveField(
-            model_name='equipmentlog',
-            name='provides_emissions',
-        ),
-        migrations.RemoveField(
-            model_name='equipmentlog',
-            name='provides_fares',
-        ),
-        migrations.RemoveField(
-            model_name='equipmentlog',
-            name='provides_occupancy',
-        ),
-        migrations.RemoveField(
-            model_name='equipmentlog',
-            name='provides_operator',
-        ),
-        migrations.RemoveField(
-            model_name='equipmentlog',
-            name='provides_position',
-        ),
-        migrations.RemoveField(
-            model_name='equipmentlog',
-            name='provides_progression',
-        ),
-        migrations.RemoveField(
-            model_name='equipmentlog',
-            name='provides_run',
-        ),
-        migrations.RemoveField(
-            model_name='equipmentlog',
-            name='provides_transfers',
-        ),
-        migrations.RemoveField(
-            model_name='equipmentlog',
-            name='provides_travelers',
-        ),
-        migrations.RemoveField(
-            model_name='equipmentlog',
-            name='provides_vehicle',
-        ),
-        migrations.AddField(
-            model_name='company',
-            name='legal_id',
-            field=models.CharField(blank=True, max_length=100, null=True),
-        ),
-        migrations.AddField(
-            model_name='equipment',
-            name='name',
-            field=models.CharField(blank=True, max_length=100, null=True),
-        ),
-        migrations.AddField(
-            model_name='operator',
-            name='is_administrator',
-            field=models.BooleanField(default=False),
-        ),
-        migrations.AddField(
-            model_name='operator',
-            name='is_dispatcher',
-            field=models.BooleanField(default=False),
-        ),
-        migrations.AddField(
-            model_name='operator',
-            name='is_driver',
-            field=models.BooleanField(default=False),
-        ),
-        migrations.RemoveField(
-            model_name='company',
-            name='linked_agency',
-        ),
-        migrations.AlterField(
-            model_name='equipmentlog',
-            name='updated_at',
-            field=models.DateTimeField(auto_now=True),
-        ),
-        migrations.AlterField(
-            model_name='vehicle',
-            name='status',
-            field=models.CharField(blank=True, choices=[('IN_SERVICE', 'En servicio'), ('OUT_OF_SERVICE', 'Fuera de servicio'), ('ON_FIRE', 'En llamas')], max_length=100, null=True),
-        ),
-        migrations.CreateModel(
-            name='Sensor',
-            fields=[
-                ('id', models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)),
-                ('name', models.CharField(blank=True, max_length=100, null=True)),
-                ('provides_vehicle', models.BooleanField(default=False)),
-                ('provides_operator', models.BooleanField(default=False)),
-                ('provides_run', models.BooleanField(default=False)),
-                ('provides_position', models.BooleanField(default=False)),
-                ('provides_progression', models.BooleanField(default=False)),
-                ('provides_occupancy', models.BooleanField(default=False)),
-                ('provides_conditions', models.BooleanField(default=False)),
-                ('provides_emissions', models.BooleanField(default=False)),
-                ('provides_travelers', models.BooleanField(default=False)),
-                ('provides_authorizations', models.BooleanField(default=False)),
-                ('provides_fares', models.BooleanField(default=False)),
-                ('provides_transfers', models.BooleanField(default=False)),
-                ('provides_alerts', models.BooleanField(default=False)),
-                ('source_type', models.CharField(blank=True, choices=[('mqtt', 'MQTT'), ('http', 'HTTP'), ('both', 'Both')], max_length=16, null=True)),
-                ('source_http_url', models.URLField(blank=True, null=True)),
-                ('source_json_mapping', models.JSONField(blank=True, null=True)),
-                ('status', models.CharField(choices=[('ACTIVE', 'Activo'), ('INACTIVE', 'Inactivo')], default='ACTIVE', max_length=100)),
-                ('created_at', models.DateTimeField(auto_now_add=True)),
-                ('updated_at', models.DateTimeField(auto_now=True)),
-                ('equipment', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='operations.equipment')),
-            ],
-        ),
-        migrations.AddField(
-            model_name='company',
-            name='linked_agency',
-            field=models.ManyToManyField(blank=True, to='feed.agency'),
-        ),
-    ]

From 6936b30c12aade795ea2771fb76793d4bc3e2e64 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Tue, 21 Jul 2026 15:25:56 -0600
Subject: [PATCH 18/68] fix(realtime): gate fetch_positions on current_run, not
 runs:in_progress

Building the in-service set from runs:in_progress deadlocked HTTP-only
vehicles: a run only enters IN_PROGRESS once telemetry proves the vehicle
is moving, but that telemetry is exactly what fetch_positions delivers, and
it refused to publish until the run was already IN_PROGRESS. Gate instead on
vehicle:<id>:current_run presence -- the same signal the MQTT consumer uses
to accept telemetry -- so a CONFIRMED run bootstraps forward.
---
 backend/realtime_engine/tasks.py              | 23 +++++++++++--------
 .../tests/test_fetch_positions.py             | 19 ++++-----------
 2 files changed, 19 insertions(+), 23 deletions(-)

diff --git a/backend/realtime_engine/tasks.py b/backend/realtime_engine/tasks.py
index de4acbe..93c1c85 100644
--- a/backend/realtime_engine/tasks.py
+++ b/backend/realtime_engine/tasks.py
@@ -70,8 +70,13 @@ def scan_stale_runs() -> str:
 def fetch_positions() -> str:
     """Poll active HTTP telemetry sources and publish in-service vehicle positions.
 
-    1. Build the in-service vehicle-id set: every run in ``runs:in_progress``
-       contributes the ``vehicle`` field of its ``run:<run_id>`` hash.
+    1. Build the in-service vehicle-id set: every vehicle with an active
+       (non-terminal) run assigned, i.e. a ``vehicle:<id>:current_run`` key.
+       This is the *same* gate the MQTT consumer uses to accept telemetry, so
+       the poller and the consumer agree on which vehicles count. Gating on
+       ``runs:in_progress`` instead would deadlock a CONFIRMED run: it only
+       reaches IN_PROGRESS once telemetry proves the vehicle is moving, and
+       delivering that telemetry is exactly this task's job.
     2. Query ACTIVE sensors that provide position data over HTTP (source_type
        "http" or "both" both use the "http" adapter).
     3. Fetch each sensor's readings, keep only the ones for in-service
@@ -85,13 +90,13 @@ def fetch_positions() -> str:
     from realtime_engine.sources import get_adapter
     from realtime_engine.sources.publisher import MqttPublisher
 
-    run_ids = redis_client.smembers("runs:in_progress")
-    in_service_vehicle_ids: set[str] = set()
-    for run_id in run_ids:
-        run_data = redis_client.hgetall(keys.run_key(run_id))
-        vehicle_id = run_data.get("vehicle")
-        if vehicle_id:
-            in_service_vehicle_ids.add(vehicle_id)
+    # Derive the key prefix/suffix from the helper so we never hardcode the
+    # ``vehicle:<id>:current_run`` shape here.
+    _prefix, _suffix = keys.current_run_key("\x00").split("\x00")
+    in_service_vehicle_ids: set[str] = {
+        key[len(_prefix): len(key) - len(_suffix)]
+        for key in redis_client.scan_iter(match=keys.current_run_key("*"))
+    }
 
     sensors = Sensor.objects.filter(
         status="ACTIVE",
diff --git a/backend/realtime_engine/tests/test_fetch_positions.py b/backend/realtime_engine/tests/test_fetch_positions.py
index 4e6c89f..a91d3a0 100644
--- a/backend/realtime_engine/tests/test_fetch_positions.py
+++ b/backend/realtime_engine/tests/test_fetch_positions.py
@@ -28,7 +28,6 @@
 from realtime_engine.tasks import fetch_positions
 from runs.domain.telemetry import keys
 
-RUN_ID = "run-1"
 IN_SERVICE_VEHICLE_ID = "veh-in-service"
 OUT_OF_SERVICE_VEHICLE_ID = "veh-out-of-service"
 
@@ -42,19 +41,11 @@ def _make_sensor(sensor_id="sensor-1"):
     )
 
 
-def _fake_redis(run_ids=(RUN_ID,), vehicle_by_run=None) -> MagicMock:
-    """Redis mock: runs:in_progress -> run_ids, run:<id> hash -> {'vehicle': ...}."""
-    vehicle_by_run = vehicle_by_run or {RUN_ID: IN_SERVICE_VEHICLE_ID}
+def _fake_redis(in_service=(IN_SERVICE_VEHICLE_ID,)) -> MagicMock:
+    """Redis mock: ``scan_iter`` over ``vehicle:*:current_run`` yields one key
+    per in-service vehicle -- the same ``current_run`` gate the task uses."""
     r = MagicMock()
-    r.smembers.return_value = set(run_ids)
-
-    def _hgetall(key):
-        for run_id, vehicle_id in vehicle_by_run.items():
-            if key == keys.run_key(run_id):
-                return {"vehicle": vehicle_id}
-        return {}
-
-    r.hgetall.side_effect = _hgetall
+    r.scan_iter.return_value = [keys.current_run_key(vid) for vid in in_service]
     return r
 
 
@@ -165,7 +156,7 @@ def _fetch(sensor):
 
 def test_fetch_positions_queries_only_active_http_position_sensors(monkeypatch):
     """Sanity-check the filter kwargs passed to Sensor.objects.filter."""
-    fake_r = _fake_redis(run_ids=())
+    fake_r = _fake_redis(in_service=())
     monkeypatch.setattr(tasks_module, "redis_client", fake_r)
 
     manager = _fake_sensor_manager([])

From fe4266b5b810ab17203dc04274e758707d87d1b4 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Tue, 18 Aug 2026 22:56:55 -0600
Subject: [PATCH 19/68] chore: gitignore local AI tooling artifacts

---
 .gitignore | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/.gitignore b/.gitignore
index be484db..ab84167 100644
--- a/.gitignore
+++ b/.gitignore
@@ -197,3 +197,9 @@ cython_debug/
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 #.idea/
+
+# AI tooling artifacts (local only)
+graphify-out/
+llms.txt
+llms-full.txt
+CONTEXT_SYNC_NOTES.md

From a3cbb0a43c8243ccad3924f1aa8b01400cd74e2b Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Tue, 18 Aug 2026 23:16:56 -0600
Subject: [PATCH 20/68] refactor(runs): drop dead RunProgress FSM chain

---
 backend/runs/domain/progress/__init__.py    |  36 ---
 backend/runs/domain/progress/actions.py     | 158 ----------
 backend/runs/domain/progress/events.py      |  24 --
 backend/runs/domain/progress/guards.py      | 333 --------------------
 backend/runs/domain/progress/states.py      |  23 --
 backend/runs/domain/progress/transitions.py | 242 --------------
 backend/runs/models.py                      |  16 -
 backend/runs/services/progress.py           |  61 ----
 8 files changed, 893 deletions(-)
 delete mode 100644 backend/runs/domain/progress/__init__.py
 delete mode 100644 backend/runs/domain/progress/actions.py
 delete mode 100644 backend/runs/domain/progress/events.py
 delete mode 100644 backend/runs/domain/progress/guards.py
 delete mode 100644 backend/runs/domain/progress/states.py
 delete mode 100644 backend/runs/domain/progress/transitions.py
 delete mode 100644 backend/runs/services/progress.py

diff --git a/backend/runs/domain/progress/__init__.py b/backend/runs/domain/progress/__init__.py
deleted file mode 100644
index 408ff62..0000000
--- a/backend/runs/domain/progress/__init__.py
+++ /dev/null
@@ -1,36 +0,0 @@
-from importlib import import_module
-
-from .states import RunProgressStates, choices
-from .events import RunProgressEvents
-
-__all__ = [
-    "RunProgressStates",
-    "choices",
-    "RunProgressEvents",
-    "RunProgressActions",
-    "RunProgressGuards",
-    "Transition",
-    "TRANSITIONS",
-]
-
-
-def __getattr__(name: str):
-    if name in {
-        "RunProgressActions",
-        "RunProgressGuards",
-        "Transition",
-        "TRANSITIONS",
-    }:
-        module_name = {
-            "RunProgressActions": "actions",
-            "RunProgressGuards": "guards",
-            "Transition": "transitions",
-            "TRANSITIONS": "transitions",
-        }[name]
-        module = import_module(f"{__name__}.{module_name}")
-        return getattr(module, name)
-    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
-
-
-def __dir__() -> list[str]:
-    return sorted(set(globals()) | set(__all__))
diff --git a/backend/runs/domain/progress/actions.py b/backend/runs/domain/progress/actions.py
deleted file mode 100644
index 3c50031..0000000
--- a/backend/runs/domain/progress/actions.py
+++ /dev/null
@@ -1,158 +0,0 @@
-from typing import Any, TYPE_CHECKING
-from runs.models import Run
-import redis
-
-if TYPE_CHECKING:
-    from runs.domain.lifecycle import Transition
-
-r = redis.Redis(host="state", port=6379, db=0)
-
-
-class RunProgressActions:
-    """
-    Ordering convention: every transition should list persist_lifecycle_event
-    first so the audit record is written before any external side-effects. State
-    is saved last via update_run_lifecycle_state so the Run row always reflects
-    the final outcome of a fully-executed transition.
-    """
-
-    @staticmethod
-    def update_system_state(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        """Write run metadata to run:{run.id} hash and claim vehicle/operator/trip keys."""
-        vehicle_id = (
-            payload.get("vehicle_id")
-            or run.vehicle.values_list("id", flat=True).first()
-        )
-        operator_id = (
-            payload.get("operator_id")
-            or run.operator.values_list("id", flat=True).first()
-        )
-        run_key = f"run:{run.id}"
-        mapping: dict[str, str] = {
-            "run_id": str(run.id),
-            "route_id": run.route_id or "",
-            "trip_id": run.trip_id or "",
-            "direction_id": "" if run.direction_id is None else str(run.direction_id),
-            "shape_id": run.shape_id or "",
-            "schedule_relationship": run.schedule_relationship or "",
-            # Use transition.to_state because the action fires before _update_run_lifecycle_state
-            "run_lifecycle_state": transition.to_state.value,
-        }
-        if vehicle_id:
-            mapping["vehicle"] = str(vehicle_id)
-        if operator_id:
-            mapping["operator"] = str(operator_id)
-        if run.start_date:
-            mapping["start_date"] = run.start_date.strftime("%Y%m%d")
-        if run.start_time:
-            total_seconds = int(run.start_time.total_seconds())
-            h, rem = divmod(total_seconds, 3600)
-            m, s = divmod(rem, 60)
-            mapping["start_time"] = f"{h:02d}:{m:02d}:{s:02d}"
-
-        pipe = r.pipeline()
-        pipe.hset(run_key, mapping=mapping)
-
-        # Claim assignment keys so availability guards have a signal to read
-        if vehicle_id:
-            pipe.set(f"vehicle:{vehicle_id}:current_run", str(run.id))
-        if operator_id:
-            pipe.set(f"operator:{operator_id}:current_run", str(run.id))
-        if run.trip_id:
-            pipe.set(f"trip:{run.trip_id}:current_run", str(run.id))
-
-        # Write vehicle metadata so the GTFS-RT builders can populate VehicleDescriptor
-        if vehicle_id:
-            from operations.models import Vehicle as VehicleModel
-
-            try:
-                v = VehicleModel.objects.get(id=vehicle_id)
-                vehicle_meta: dict[str, str] = {
-                    "id": str(v.id),
-                    "label": v.label or str(v.id),
-                }
-                if v.license_plate:
-                    vehicle_meta["license_plate"] = v.license_plate
-                if v.wheelchair_accessible:
-                    vehicle_meta["wheelchair_accessible"] = v.wheelchair_accessible
-                pipe.hset(f"vehicle:{vehicle_id}:metadata", mapping=vehicle_meta)
-            except Exception:
-                pass
-
-        pipe.execute()
-        return True
-
-    # ------------------------------------------------------------------
-    # Redis set mutations
-    # ------------------------------------------------------------------
-
-    @staticmethod
-    def sync_lifecycle_state(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        """Keep the Redis run hash's run_lifecycle_state in sync with the DB transition."""
-        r.hset(f"run:{run.id}", "run_lifecycle_state", transition.to_state.value)
-        return True
-
-    @staticmethod
-    def add_to_tracking_set(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        r.sadd("runs:tracking", str(run.id))
-        return True
-
-    @staticmethod
-    def remove_from_tracking_set(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        r.srem("runs:tracking", str(run.id))
-        return True
-
-    @staticmethod
-    def add_to_in_progress_set(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        r.sadd("runs:in_progress", str(run.id))
-        return True
-
-    @staticmethod
-    def remove_from_in_progress_set(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        r.srem("runs:in_progress", str(run.id))
-        return True
-
-    @staticmethod
-    def remove_from_system_state(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        pipe = r.pipeline()
-        pipe.delete(f"run:{run.id}")
-        pipe.srem("runs:tracking", str(run.id))
-        pipe.srem("runs:in_progress", str(run.id))
-        pipe.execute()
-        return True
-
-    # ------------------------------------------------------------------
-    # Resource release
-    # ------------------------------------------------------------------
-
-    @staticmethod
-    def release_resources(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        """Free vehicle, operator, and trip assignment keys."""
-        vehicle_id = run.vehicle.values_list("id", flat=True).first()
-        operator_id = run.operator.values_list("id", flat=True).first()
-        keys_to_delete = []
-        if vehicle_id:
-            keys_to_delete.append(f"vehicle:{vehicle_id}:current_run")
-        if operator_id:
-            keys_to_delete.append(f"operator:{operator_id}:current_run")
-        if run.trip_id:
-            keys_to_delete.append(f"trip:{run.trip_id}:current_run")
-        if keys_to_delete:
-            r.delete(*keys_to_delete)
-        return True
diff --git a/backend/runs/domain/progress/events.py b/backend/runs/domain/progress/events.py
deleted file mode 100644
index 707a1f5..0000000
--- a/backend/runs/domain/progress/events.py
+++ /dev/null
@@ -1,24 +0,0 @@
-from enum import Enum
-
-
-class RunProgressEvents(str, Enum):
-    """
-    Defines all possible events that can trigger state transitions in the run lifecycle.
-    """
-
-    # Lifecycle progression events
-    RUN_REQUESTED = "run_requested"  # initial: record creation puts run in REQUESTED
-    VALIDATE_RUN = "validate_run"
-    INITIALIZE_RUN = "initialize_run"
-    RUN_CONFIRMED_BY_OPERATOR = "run_confirmed_by_operator"
-    RUN_TRACKING_STARTED = "run_tracking_started"
-    RUN_STARTED = "run_started"
-    RUN_COMPLETED = "run_completed"
-    # Operational deviation events
-    RUN_REJECTED = "run_rejected"
-    CANCEL_RUN = "cancel_run"
-    RUN_INTERRUPTED = "run_interrupted"
-    RUN_SHORT_TURNED = "run_short_turned"
-    RUN_TRACKING_LOST = "run_tracking_lost"
-    RUN_TRACKING_RESTORED = "run_tracking_restored"
-    RUN_TRACKING_EXPIRED = "run_tracking_expired"
diff --git a/backend/runs/domain/progress/guards.py b/backend/runs/domain/progress/guards.py
deleted file mode 100644
index 5d57643..0000000
--- a/backend/runs/domain/progress/guards.py
+++ /dev/null
@@ -1,333 +0,0 @@
-from typing import Any, TYPE_CHECKING
-from datetime import datetime, timezone
-from django.utils.timezone import now
-from runs.models import Run
-from runs.services.exceptions import RunLifecycleError
-import redis
-
-if TYPE_CHECKING:
-    from runs.domain.lifecycle import Transition
-
-r = redis.Redis(host="state", port=6379, db=0)
-
-TELEMETRY_GRACE_S = 60
-TELEMETRY_EXPIRY_S = 600
-
-
-def _parse_last_seen(payload: dict[str, Any]) -> datetime | None:
-    raw = payload.get("last_seen_at")
-    if raw is None:
-        return None
-    if isinstance(raw, datetime):
-        return raw
-    try:
-        dt = datetime.fromisoformat(str(raw))
-        if dt.tzinfo is None:
-            dt = dt.replace(tzinfo=timezone.utc)
-        return dt
-    except (ValueError, TypeError):
-        return None
-
-
-class RunProgressGuards:
-    @staticmethod
-    def is_gtfs_valid(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        from feed.models import Feed, Route, Trip, Shape
-
-        route_id = payload.get("route_id")
-        trip_id = payload.get("trip_id")
-        direction_id = payload.get("direction_id")
-        shape_id = payload.get("shape_id")
-        schedule_relationship = payload.get("schedule_relationship")
-
-        errors: dict[str, str] = {}
-
-        if not route_id:
-            errors["route_id"] = "route_id is required"
-        if not trip_id:
-            errors["trip_id"] = "trip_id is required"
-        if direction_id not in [0, 1]:
-            errors["direction_id"] = (
-                f"direction_id must be 0 or 1, got '{direction_id}'"
-            )
-        if not shape_id:
-            errors["shape_id"] = "shape_id is required"
-        if not schedule_relationship:
-            errors["schedule_relationship"] = "schedule_relationship is required"
-        elif schedule_relationship != "SCHEDULED":
-            errors["schedule_relationship"] = (
-                f"schedule_relationship '{schedule_relationship}' is not valid"
-            )
-
-        if errors:
-            raise RunLifecycleError(errors)
-
-        feed = Feed.objects.filter(is_current=True).first()
-        if not feed:
-            raise RunLifecycleError({"feed": "No current GTFS feed found"})
-
-        lookup_errors: dict[str, str] = {}
-
-        if not Route.objects.filter(feed=feed, route_id=route_id).exists():
-            lookup_errors["route_id"] = (
-                f"route_id '{route_id}' not found in current GTFS feed"
-            )
-
-        trip = Trip.objects.filter(feed=feed, trip_id=trip_id).first()
-        if not trip:
-            lookup_errors["trip_id"] = (
-                f"trip_id '{trip_id}' not found in current GTFS feed"
-            )
-        elif trip.direction_id != direction_id:
-            lookup_errors["direction_id"] = (
-                f"direction_id '{direction_id}' does not match trip '{trip_id}'"
-            )
-        elif shape_id and trip.shape_id != shape_id:
-            lookup_errors["shape_id"] = (
-                f"shape_id '{shape_id}' does not match trip '{trip_id}'"
-            )
-
-        if lookup_errors:
-            raise RunLifecycleError(lookup_errors)
-
-        return True
-
-    @staticmethod
-    def is_vehicle_available(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        vehicle_id = payload.get("vehicle_id") or (
-            run.vehicle.values_list("id", flat=True).first()
-        )
-        if not vehicle_id:
-            return True
-        existing = r.get(f"vehicle:{vehicle_id}:current_run")
-        if existing and existing.decode() != str(run.id):
-            raise RunLifecycleError(
-                {
-                    "vehicle_id": f"Vehicle '{vehicle_id}' is already assigned to run {existing.decode()}"
-                }
-            )
-        return True
-
-    @staticmethod
-    def is_trip_available(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        trip_id = payload.get("trip_id") or run.trip_id
-        if not trip_id:
-            return True
-        existing = r.get(f"trip:{trip_id}:current_run")
-        if existing and existing.decode() != str(run.id):
-            raise RunLifecycleError(
-                {
-                    "trip_id": f"Trip '{trip_id}' is already assigned to run {existing.decode()}"
-                }
-            )
-        return True
-
-    @staticmethod
-    def is_operator_available(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        operator_id = payload.get("operator_id") or (
-            run.operator.values_list("id", flat=True).first()
-        )
-        if not operator_id:
-            return True
-        existing = r.get(f"operator:{operator_id}:current_run")
-        if existing and existing.decode() != str(run.id):
-            raise RunLifecycleError(
-                {
-                    "operator_id": f"Operator '{operator_id}' is already assigned to run {existing.decode()}"
-                }
-            )
-        return True
-
-    @staticmethod
-    def is_vehicle_tracked(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        return bool(r.sismember("runs:tracking", str(run.id)))
-
-    @staticmethod
-    def is_run_validated(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        return True
-
-    @staticmethod
-    def is_vehicle_moving(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        return float(payload.get("speed", 0)) > 0.5
-
-    # ------------------------------------------------------------------
-    # Cancellation / interruption / short-turn authority guards
-    # ------------------------------------------------------------------
-
-    @staticmethod
-    def is_cancellation_authorized(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        actor_role = payload.get("actor_role", "")
-        if actor_role == "system":
-            return True
-        if actor_role in ("dispatcher", "operator"):
-            return True
-        raise RunLifecycleError(
-            {
-                "actor_role": f"actor_role '{actor_role}' is not authorized to cancel runs"
-            }
-        )
-
-    @staticmethod
-    def is_interruption_authorized(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        actor_role = payload.get("actor_role", "")
-        if actor_role in ("system", "dispatcher", "operator"):
-            return True
-        raise RunLifecycleError(
-            {
-                "actor_role": f"actor_role '{actor_role}' is not authorized to interrupt runs"
-            }
-        )
-
-    @staticmethod
-    def is_short_turn_authorized(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        actor_role = payload.get("actor_role", "")
-        if actor_role in ("dispatcher", "system"):
-            return True
-        raise RunLifecycleError(
-            {
-                "actor_role": f"actor_role '{actor_role}' must be 'dispatcher' or 'system' to short-turn"
-            }
-        )
-
-    @staticmethod
-    def is_short_turn_geometrically_valid(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        from feed.models import Feed, StopTime
-
-        short_turn_stop_id = payload.get("short_turn_stop_id")
-        if not short_turn_stop_id:
-            raise RunLifecycleError(
-                {"short_turn_stop_id": "short_turn_stop_id is required"}
-            )
-
-        trip_id = run.trip_id
-        if not trip_id:
-            raise RunLifecycleError({"trip_id": "Run has no trip_id"})
-
-        feed = Feed.objects.filter(is_current=True).first()
-        if not feed:
-            raise RunLifecycleError({"feed": "No current GTFS feed found"})
-
-        stop_times = StopTime.objects.filter(feed=feed, trip_id=trip_id).order_by(
-            "stop_sequence"
-        )
-        if not stop_times.exists():
-            raise RunLifecycleError(
-                {"trip_id": f"No stop times found for trip '{trip_id}'"}
-            )
-
-        terminal = stop_times.last()
-        stop_ids = list(stop_times.values_list("stop_id", flat=True))
-
-        if short_turn_stop_id not in stop_ids:
-            raise RunLifecycleError(
-                {
-                    "short_turn_stop_id": f"Stop '{short_turn_stop_id}' not on trip '{trip_id}'"
-                }
-            )
-        if short_turn_stop_id == terminal.stop_id:
-            raise RunLifecycleError(
-                {"short_turn_stop_id": "Short-turn stop cannot be the terminal stop"}
-            )
-        return True
-
-    # ------------------------------------------------------------------
-    # Telemetry freshness guards
-    # ------------------------------------------------------------------
-
-    @staticmethod
-    def is_telemetry_stale(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        last_seen = _parse_last_seen(payload)
-        if last_seen is None:
-            last_seen = run.last_event_at
-        if last_seen is None:
-            return True
-        staleness = (now() - last_seen).total_seconds()
-        return staleness > TELEMETRY_GRACE_S
-
-    @staticmethod
-    def is_telemetry_fresh(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        last_seen = _parse_last_seen(payload)
-        if last_seen is None:
-            last_seen = run.last_event_at
-        if last_seen is None:
-            return False
-        staleness = (now() - last_seen).total_seconds()
-        return staleness <= TELEMETRY_GRACE_S
-
-    @staticmethod
-    def is_telemetry_grace_period_exceeded(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        last_seen = _parse_last_seen(payload)
-        if last_seen is None:
-            last_seen = run.last_event_at
-        if last_seen is None:
-            return True
-        staleness = (now() - last_seen).total_seconds()
-        return staleness > TELEMETRY_EXPIRY_S
-
-    # ------------------------------------------------------------------
-    # Completion guard
-    # ------------------------------------------------------------------
-
-    @staticmethod
-    def is_at_terminal_stop(
-        run: Run, transition: "Transition", payload: dict[str, Any]
-    ) -> bool:
-        from feed.models import Feed, StopTime
-
-        stop_id = payload.get("stop_id")
-        if not stop_id:
-            raise RunLifecycleError({"stop_id": "stop_id is required"})
-
-        trip_id = run.trip_id
-        if not trip_id:
-            raise RunLifecycleError({"trip_id": "Run has no trip_id"})
-
-        feed = Feed.objects.filter(is_current=True).first()
-        if not feed:
-            raise RunLifecycleError({"feed": "No current GTFS feed found"})
-
-        terminal = (
-            StopTime.objects.filter(feed=feed, trip_id=trip_id)
-            .order_by("-stop_sequence")
-            .first()
-        )
-        if not terminal:
-            raise RunLifecycleError(
-                {"trip_id": f"No stop times found for trip '{trip_id}'"}
-            )
-
-        if stop_id != terminal.stop_id:
-            raise RunLifecycleError(
-                {
-                    "stop_id": f"Stop '{stop_id}' is not the terminal stop '{terminal.stop_id}'"
-                }
-            )
-        return True
diff --git a/backend/runs/domain/progress/states.py b/backend/runs/domain/progress/states.py
deleted file mode 100644
index ea8dad6..0000000
--- a/backend/runs/domain/progress/states.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from enum import Enum
-
-
-class RunProgressStates(str, Enum):
-    """
-    Defines the possible lifecycle states of a run.
-    """
-
-    REQUESTED = "Requested"
-    VALIDATED = "Validated"
-    INITIALIZED = "Initialized"
-    CONFIRMED = "Confirmed"
-    TRACKING = "Tracking"
-    CANCELLED = "Cancelled"
-    IN_PROGRESS = "In Progress"
-    NO_SIGNAL = "No Signal"
-    COMPLETED = "Completed"
-    INTERRUPTED = "Interrupted"
-    SHORT_TURNED = "Short Turned"
-
-
-def choices():
-    return [(status.value, status.name) for status in RunProgressStates]
diff --git a/backend/runs/domain/progress/transitions.py b/backend/runs/domain/progress/transitions.py
deleted file mode 100644
index 2b76741..0000000
--- a/backend/runs/domain/progress/transitions.py
+++ /dev/null
@@ -1,242 +0,0 @@
-from dataclasses import dataclass
-from typing import Callable, List
-
-from .actions import RunProgressActions
-from .guards import RunProgressGuards
-from .states import RunProgressStates
-from .events import RunProgressEvents
-
-
-@dataclass
-class Transition:
-    """Represents a state transition in the run lifecycle."""
-
-    from_state: RunProgressStates
-    event: RunProgressEvents
-    to_state: RunProgressStates
-    guards: List[Callable]
-    actions: List[Callable]
-
-
-TRANSITIONS = [
-    # ------------------------------------------------------------------
-    # Registration: REQUESTED → VALIDATED
-    # ------------------------------------------------------------------
-    Transition(
-        from_state=RunProgressStates.REQUESTED,
-        event=RunProgressEvents.VALIDATE_RUN,
-        to_state=RunProgressStates.VALIDATED,
-        guards=[
-            RunProgressGuards.is_gtfs_valid,
-            RunProgressGuards.is_trip_available,
-            RunProgressGuards.is_vehicle_available,
-            RunProgressGuards.is_operator_available,
-        ],
-        actions=[],
-    ),
-    # Registration rejected at validation stage
-    Transition(
-        from_state=RunProgressStates.REQUESTED,
-        event=RunProgressEvents.RUN_REJECTED,
-        to_state=RunProgressStates.CANCELLED,
-        guards=[],
-        actions=[],
-    ),
-    # ------------------------------------------------------------------
-    # Initialization: VALIDATED → INITIALIZED
-    # ------------------------------------------------------------------
-    Transition(
-        from_state=RunProgressStates.VALIDATED,
-        event=RunProgressEvents.INITIALIZE_RUN,
-        to_state=RunProgressStates.INITIALIZED,
-        guards=[
-            RunProgressGuards.is_run_validated,
-        ],
-        actions=[
-            RunProgressActions.update_system_state,
-        ],
-    ),
-    # Initialization failed after validation passed
-    Transition(
-        from_state=RunProgressStates.VALIDATED,
-        event=RunProgressEvents.RUN_REJECTED,
-        to_state=RunProgressStates.CANCELLED,
-        guards=[],
-        actions=[
-            RunProgressActions.release_resources,
-        ],
-    ),
-    # ------------------------------------------------------------------
-    # Operator confirmation: INITIALIZED → CONFIRMED
-    # ------------------------------------------------------------------
-    Transition(
-        from_state=RunProgressStates.INITIALIZED,
-        event=RunProgressEvents.RUN_CONFIRMED_BY_OPERATOR,
-        to_state=RunProgressStates.CONFIRMED,
-        guards=[],
-        actions=[
-            RunProgressActions.sync_lifecycle_state,
-        ],
-    ),
-    # Cancelled before operator confirmation
-    Transition(
-        from_state=RunProgressStates.INITIALIZED,
-        event=RunProgressEvents.RUN_REJECTED,
-        to_state=RunProgressStates.CANCELLED,
-        guards=[
-            RunProgressGuards.is_cancellation_authorized,
-        ],
-        actions=[
-            RunProgressActions.remove_from_system_state,
-            RunProgressActions.release_resources,
-        ],
-    ),
-    # ------------------------------------------------------------------
-    # Tracking started: CONFIRMED → TRACKING
-    # ------------------------------------------------------------------
-    Transition(
-        from_state=RunProgressStates.CONFIRMED,
-        event=RunProgressEvents.RUN_TRACKING_STARTED,
-        to_state=RunProgressStates.TRACKING,
-        guards=[
-            RunProgressGuards.is_vehicle_tracked,
-        ],
-        actions=[
-            RunProgressActions.sync_lifecycle_state,
-            RunProgressActions.add_to_tracking_set,
-        ],
-    ),
-    # Cancelled after confirmation but before tracking
-    Transition(
-        from_state=RunProgressStates.CONFIRMED,
-        event=RunProgressEvents.CANCEL_RUN,
-        to_state=RunProgressStates.CANCELLED,
-        guards=[
-            RunProgressGuards.is_cancellation_authorized,
-        ],
-        actions=[
-            RunProgressActions.remove_from_system_state,
-            RunProgressActions.release_resources,
-        ],
-    ),
-    # ------------------------------------------------------------------
-    # Run started: TRACKING → IN_PROGRESS
-    # ------------------------------------------------------------------
-    Transition(
-        from_state=RunProgressStates.TRACKING,
-        event=RunProgressEvents.RUN_STARTED,
-        to_state=RunProgressStates.IN_PROGRESS,
-        guards=[
-            RunProgressGuards.is_vehicle_moving,
-        ],
-        actions=[
-            RunProgressActions.sync_lifecycle_state,
-            RunProgressActions.add_to_in_progress_set,
-        ],
-    ),
-    # Cancelled while tracking (before run started)
-    Transition(
-        from_state=RunProgressStates.TRACKING,
-        event=RunProgressEvents.CANCEL_RUN,
-        to_state=RunProgressStates.CANCELLED,
-        guards=[
-            RunProgressGuards.is_cancellation_authorized,
-        ],
-        actions=[
-            RunProgressActions.remove_from_tracking_set,
-            RunProgressActions.remove_from_system_state,
-            RunProgressActions.release_resources,
-        ],
-    ),
-    # ------------------------------------------------------------------
-    # In progress: deviation events
-    # ------------------------------------------------------------------
-    Transition(
-        from_state=RunProgressStates.IN_PROGRESS,
-        event=RunProgressEvents.RUN_TRACKING_LOST,
-        to_state=RunProgressStates.NO_SIGNAL,
-        guards=[
-            RunProgressGuards.is_telemetry_stale,
-        ],
-        actions=[
-            # Keep the run in `runs:tracking` so scan_stale_runs can fire
-            # RUN_TRACKING_EXPIRED later. The set is the work queue, not a
-            # status flag — only fully-terminal transitions should remove from it.
-            RunProgressActions.sync_lifecycle_state,
-        ],
-    ),
-    Transition(
-        from_state=RunProgressStates.IN_PROGRESS,
-        event=RunProgressEvents.RUN_INTERRUPTED,
-        to_state=RunProgressStates.INTERRUPTED,
-        guards=[
-            RunProgressGuards.is_interruption_authorized,
-        ],
-        actions=[
-            RunProgressActions.sync_lifecycle_state,
-            RunProgressActions.remove_from_tracking_set,
-            RunProgressActions.remove_from_in_progress_set,
-            RunProgressActions.release_resources,
-        ],
-    ),
-    Transition(
-        from_state=RunProgressStates.IN_PROGRESS,
-        event=RunProgressEvents.RUN_SHORT_TURNED,
-        to_state=RunProgressStates.SHORT_TURNED,
-        guards=[
-            RunProgressGuards.is_short_turn_authorized,
-            RunProgressGuards.is_short_turn_geometrically_valid,
-        ],
-        actions=[
-            RunProgressActions.sync_lifecycle_state,
-            RunProgressActions.remove_from_tracking_set,
-            RunProgressActions.remove_from_in_progress_set,
-            RunProgressActions.release_resources,
-        ],
-    ),
-    Transition(
-        from_state=RunProgressStates.IN_PROGRESS,
-        event=RunProgressEvents.RUN_COMPLETED,
-        to_state=RunProgressStates.COMPLETED,
-        guards=[
-            RunProgressGuards.is_at_terminal_stop,
-        ],
-        actions=[
-            RunProgressActions.sync_lifecycle_state,
-            RunProgressActions.remove_from_tracking_set,
-            RunProgressActions.remove_from_in_progress_set,
-            RunProgressActions.release_resources,
-        ],
-    ),
-    # ------------------------------------------------------------------
-    # No signal: recovery or expiry
-    # ------------------------------------------------------------------
-    Transition(
-        from_state=RunProgressStates.NO_SIGNAL,
-        event=RunProgressEvents.RUN_TRACKING_RESTORED,
-        to_state=RunProgressStates.IN_PROGRESS,
-        guards=[
-            RunProgressGuards.is_telemetry_fresh,
-            RunProgressGuards.is_vehicle_tracked,
-        ],
-        actions=[
-            RunProgressActions.sync_lifecycle_state,
-            RunProgressActions.add_to_tracking_set,
-            RunProgressActions.add_to_in_progress_set,
-        ],
-    ),
-    Transition(
-        from_state=RunProgressStates.NO_SIGNAL,
-        event=RunProgressEvents.RUN_TRACKING_EXPIRED,
-        to_state=RunProgressStates.CANCELLED,
-        guards=[
-            RunProgressGuards.is_telemetry_grace_period_exceeded,
-        ],
-        actions=[
-            RunProgressActions.sync_lifecycle_state,
-            RunProgressActions.remove_from_tracking_set,
-            RunProgressActions.remove_from_in_progress_set,
-            RunProgressActions.release_resources,
-        ],
-    ),
-]
diff --git a/backend/runs/models.py b/backend/runs/models.py
index 1ee4e40..acdcff5 100644
--- a/backend/runs/models.py
+++ b/backend/runs/models.py
@@ -69,22 +69,6 @@ class Meta:
         ]
 
 
-class RunProgressEvent(models.Model):
-    id = models.UUIDField(primary_key=True, default=uuid.uuid7, editable=False)
-    run = models.ForeignKey(Run, on_delete=models.CASCADE)
-    event_type = models.CharField(max_length=128)
-    stop_id = models.CharField(max_length=64, null=True)
-    payload = models.JSONField(default=dict)
-    timestamp = models.DateTimeField()
-    created_at = models.DateTimeField(auto_now_add=True)
-
-    class Meta:
-        indexes = [
-            models.Index(fields=["run", "timestamp"]),
-            models.Index(fields=["event_type"]),
-        ]
-
-
 class Position(models.Model):
     vehicle = models.ForeignKey(Vehicle, on_delete=models.PROTECT)
     timestamp = models.DateTimeField()
diff --git a/backend/runs/services/progress.py b/backend/runs/services/progress.py
deleted file mode 100644
index 15004a0..0000000
--- a/backend/runs/services/progress.py
+++ /dev/null
@@ -1,61 +0,0 @@
-from runs.models import Run
-
-
-class RunProgressService:
-    def process_event(self, event, payload):
-        run = self._load_run(payload)
-        if not self._is_active(run):
-            return None
-        context = self._build_context(run, payload)
-        detected_events = self._detect_events(run, event, payload, context)
-        return self._persist_events(run, detected_events)
-
-    def _load_run(self, payload):
-        run_id = payload.get("run_id")
-        return Run.objects.get(id=run_id)
-
-    def _is_active(self, run):
-        return run.run_lifecycle_state == "IN_PROGRESS"
-
-    def _build_context(self, run, payload):
-        context = {
-            "timestamp": payload.get("timestamp"),
-            "position": payload.get("position"),
-            "speed": payload.get("speed"),
-            # TODO:
-            # - last known position (Redis)
-            # - stop sequence (GTFS)
-            # - shape
-        }
-        return context
-
-    def _detect_events(self, run, event, payload, context):
-        detected = []
-        if event == "vehicle_position_updated":
-            detected.extend(self._detect_stop_events(run, context))
-            detected.extend(self._detect_movement_events(run, context))
-        return detected
-
-    def _detect_stop_events(self, run, context):
-        events = []
-        current_stop = 1  # self._infer_current_stop(run, context)
-        if current_stop and not self._was_at_stop(run, current_stop):
-            events.append(
-                {
-                    "type": "vehicle_arrived_at_stop",
-                    "stop_id": current_stop,
-                    "timestamp": context["timestamp"],
-                }
-            )
-        return events
-
-    def _detect_movement_events(self, run, context):
-        events = []
-        if context["speed"] > 5:
-            events.append(
-                {
-                    "type": "vehicle_moving",
-                    "timestamp": context["timestamp"],
-                }
-            )
-        return events

From ecf66a87d2d70aa3ef86491b48e140b70cd3e05b Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Tue, 18 Aug 2026 23:17:31 -0600
Subject: [PATCH 21/68] refactor: remove legacy feed.realtime bridge and
 unschedule build_alerts stub

---
 backend/databus/celery.py         |  4 --
 backend/feed/realtime/__init__.py | 13 -----
 backend/feed/realtime/runs.py     | 67 -------------------------
 backend/feed/utils.py             | 83 -------------------------------
 4 files changed, 167 deletions(-)
 delete mode 100644 backend/feed/realtime/__init__.py
 delete mode 100644 backend/feed/realtime/runs.py
 delete mode 100644 backend/feed/utils.py

diff --git a/backend/databus/celery.py b/backend/databus/celery.py
index 14c7b72..9b21311 100644
--- a/backend/databus/celery.py
+++ b/backend/databus/celery.py
@@ -42,10 +42,6 @@ def debug_task(self):
         "task": "schedule_engine.tasks.build_trip_updates",
         "schedule": timedelta(seconds=15),
     },
-    "build-alerts-every-10s": {
-        "task": "schedule_engine.tasks.build_alerts",
-        "schedule": timedelta(seconds=10),
-    },
     "scan-stale-runs-every-30s": {
         "task": "realtime_engine.tasks.scan_stale_runs",
         "schedule": timedelta(seconds=30),
diff --git a/backend/feed/realtime/__init__.py b/backend/feed/realtime/__init__.py
deleted file mode 100644
index 23a2f3d..0000000
--- a/backend/feed/realtime/__init__.py
+++ /dev/null
@@ -1,13 +0,0 @@
-from .runs import (
-    process_submission,
-    process_confirmation,
-    process_completion,
-    process_interruption,
-)
-
-__all__ = [
-    "process_submission",
-    "process_confirmation",
-    "process_completion",
-    "process_interruption",
-]
diff --git a/backend/feed/realtime/runs.py b/backend/feed/realtime/runs.py
deleted file mode 100644
index 473fb17..0000000
--- a/backend/feed/realtime/runs.py
+++ /dev/null
@@ -1,67 +0,0 @@
-from runs.models import Run
-from messages import publish_event
-from realtime_engine.tasks import register_run, start_run, end_run
-from feed.utils import validate_run_request_data
-
-
-def process_submission(payload):
-    publish_event("RUN_SUBMISSION_REQUESTED", payload)
-    is_valid, error_code = validate_run_request_data(payload)
-    if is_valid:
-        publish_event("RUN_SUBMISSION_SUCCEEDED", payload)
-        registration_result, run_id = register_run.delay(payload).get(timeout=15)
-        if registration_result:
-            publish_event("RUN_REGISTRATION_SUCCEEDED", payload)
-            return {"run_id": run_id}, 200
-        else:
-            publish_event("RUN_REGISTRATION_FAILED", payload)
-            return (
-                {
-                    "error": {
-                        "code": "Run registration failed",
-                        "message": "Failed to register run",
-                    }
-                },
-                400,
-            )
-    else:
-        publish_event("RUN_SUBMISSION_FAILED", payload)
-        return (
-            {
-                "error": {
-                    "code": "Run request validation failed",
-                    "message": error_code,
-                }
-            },
-            400,
-        )
-
-
-def process_confirmation(payload):
-    start_run_result = start_run.delay(payload).get(timeout=15)
-    if start_run_result:
-        updated = Run.objects.filter(id=payload.get("run_id")).update(
-            run_lifecycle_state="IN_PROGRESS"
-        )
-        if not updated:
-            return {"error": "run_id no encontrado"}, 404
-        publish_event("RUN_START_SUCCEEDED", payload)
-        return {"run_lifecycle_state": "IN_PROGRESS"}, 200
-    else:
-        publish_event("RUN_CONFIRMATION_FAILED", payload)
-        return {"error": "No funcionó :("}, 400
-
-
-def process_completion(payload):
-    end_run_result = end_run.delay(payload).get(timeout=15)
-    if end_run_result:  # Si end run se cumple:
-        publish_event("RUN_COMPLETION_SUCCEEDED", payload)
-        return {"run_lifecycle_state": "COMPLETED"}, 200
-    else:  # Si end run no se cumple:
-        publish_event("RUN_COMPLETION_FAILED", payload)
-        return {"error": "No se pudo completar el run"}, 400
-
-
-def process_interruption(payload):
-    publish_event("RUN_INTERRUPTED", payload)
-    return {"run_lifecycle_state": "INTERRUPTED"}, 200
diff --git a/backend/feed/utils.py b/backend/feed/utils.py
deleted file mode 100644
index 1dfd5d3..0000000
--- a/backend/feed/utils.py
+++ /dev/null
@@ -1,83 +0,0 @@
-from .models import Feed, Trip
-from operations.models import Vehicle, Operator
-from runs.models import Run
-
-
-def validate_run_request_data(run_data) -> tuple[bool, str | None]:
-    """
-    Validate incoming run payload against system state and current GTFS feed.
-
-    Args:
-        run_data (dict): Run request payload to validate. Expected keys include
-            ``vehicle_id``, ``operator_id``, ``route_id``, ``trip_id``,
-            ``direction_id``, ``shape_id``, and ``schedule_relationship``.
-
-    Returns:
-        tuple[bool, str | None]: A tuple where the first value is ``True`` when
-        the payload is valid. The second value is ``None`` on success, or an
-        error code string on failure.
-
-    Example:
-        >>> run_data = {
-        ...     "vehicle_id": "BUS-01",
-        ...     "operator_id": "OP-10",
-        ...     "route_id": "10",
-        ...     "trip_id": "10_20260427_1",
-        ...     "direction_id": "1",
-        ...     "shape_id": "shape_10_1",
-        ...     "schedule_relationship": "SCHEDULED",
-        ... }
-        >>> validate_run_request_data(run_data)
-        (True, None)
-    """
-    feed = Feed.objects.filter(is_current=True).first()
-    trip = Trip.objects.filter(feed=feed, trip_id=run_data.get("trip_id")).count()
-    if run_data.get("schedule_relationship") == "SCHEDULED" and trip > 0:
-        return (True, None)
-    # Are all required fields present and non-empty?
-    required = [
-        "vehicle_id",
-        "operator_id",
-        "route_id",
-        "trip_id",
-        "direction_id",
-        "shape_id",
-        "schedule_relationship",
-    ]
-    if any(run_data.get(field) in (None, "") for field in required):
-        return (False, "MISSING_REQUIRED_FIELDS")
-    #  JSON often sends numbers as strings ("0" instead of 0). The database stores it as an integer, so we convert. If the value can't be converted (e.g. "abc"), reject.
-    try:
-        direction_id = int(run_data["direction_id"])
-    except (TypeError, ValueError):
-        return (False, "INVALID_DIRECTION_ID")
-    if direction_id not in (0, 1):
-        return (False, "INVALID_DIRECTION_ID")
-    # Does the vehicle exist?
-    if not Vehicle.objects.filter(id=run_data["vehicle_id"]).exists():
-        return (False, "VEHICLE_NOT_FOUND")
-    # Does the operator exist?
-    if not Operator.objects.filter(id=run_data["operator_id"]).exists():
-        return (False, "OPERATOR_NOT_FOUND")
-    # Is the bus in another active run?
-    if Run.objects.filter(
-        vehicle_id=run_data["vehicle_id"],
-        run_lifecycle_state="IN_PROGRESS",
-    ).exists():
-        return (False, "VEHICLE_ALREADY_IN_PROGRESS")
-    # Is there a current GTFS Feed?
-    feed = Feed.objects.filter(is_current=True).first()
-    if feed is None:
-        return (False, "CURRENT_FEED_NOT_FOUND")
-    # Does the trip exist in the current GTFS feed?
-    trip_exists = Trip.objects.filter(
-        feed=feed,
-        trip_id=run_data["trip_id"],
-        route_id=run_data["route_id"],
-        direction_id=direction_id,
-        shape_id=run_data["shape_id"],
-    ).exists()
-    if not trip_exists:
-        return (False, "TRIP_NOT_FOUND_IN_CURRENT_FEED")
-
-    return (True, None)

From 8787f0c283ebac389c3daecd29670e7c095f6544 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Tue, 18 Aug 2026 23:17:47 -0600
Subject: [PATCH 22/68] chore(docs): drop legacy mkdocs site

---
 docs/API.json                  |  26 ----
 docs/api.md                    |  55 --------
 docs/assets/diagram.png        | Bin 255048 -> 0 bytes
 docs/deployment.md             | 238 ---------------------------------
 docs/development.md            |  84 ------------
 docs/index.md                  |  17 ---
 docs/logos/b.png               | Bin 266242 -> 0 bytes
 docs/mkdocs.yml                |  40 ------
 docs/obe.md                    |  52 -------
 docs/old/API.json              |  26 ----
 docs/old/api.md                |  55 --------
 docs/old/assets/diagram.png    | Bin 255048 -> 0 bytes
 docs/old/deployment.md         | 238 ---------------------------------
 docs/old/development.md        |  84 ------------
 docs/old/index.md              |  17 ---
 docs/old/logos/b.png           | Bin 266242 -> 0 bytes
 docs/old/mkdocs.yml            |  40 ------
 docs/old/obe.md                |  52 -------
 docs/old/oldHOWTO.md           | 170 -----------------------
 docs/old/stylesheets/extra.css |   5 -
 docs/oldHOWTO.md               | 170 -----------------------
 docs/stylesheets/extra.css     |   5 -
 22 files changed, 1374 deletions(-)
 delete mode 100644 docs/API.json
 delete mode 100644 docs/api.md
 delete mode 100644 docs/assets/diagram.png
 delete mode 100644 docs/deployment.md
 delete mode 100644 docs/development.md
 delete mode 100644 docs/index.md
 delete mode 100644 docs/logos/b.png
 delete mode 100644 docs/mkdocs.yml
 delete mode 100644 docs/obe.md
 delete mode 100644 docs/old/API.json
 delete mode 100644 docs/old/api.md
 delete mode 100644 docs/old/assets/diagram.png
 delete mode 100644 docs/old/deployment.md
 delete mode 100644 docs/old/development.md
 delete mode 100644 docs/old/index.md
 delete mode 100644 docs/old/logos/b.png
 delete mode 100644 docs/old/mkdocs.yml
 delete mode 100644 docs/old/obe.md
 delete mode 100644 docs/old/oldHOWTO.md
 delete mode 100644 docs/old/stylesheets/extra.css
 delete mode 100644 docs/oldHOWTO.md
 delete mode 100644 docs/stylesheets/extra.css

diff --git a/docs/API.json b/docs/API.json
deleted file mode 100644
index 10ee5bd..0000000
--- a/docs/API.json
+++ /dev/null
@@ -1,26 +0,0 @@
-{
-    "vehicle_id": "1234",
-    "route_id": "bUCR_L1",
-    "trip_id": "EYU94JE743",
-    "start_date": "20231112",
-    "start_time": "10:03:00",
-    "location": {
-        "latitude": 42.0,
-        "longitude": -71.0
-    },
-    "inertial": {
-        "bearing": 225,
-        "speed": 23,
-    },
-    "vehicle_health": {
-        "fuel_level": 0.5,
-        "oil_level": 0.5,
-        "tire_pressure": 0.5,
-        "battery_voltage": 12.5
-    },
-    "environmental": {
-        "temperature": 72,
-        "humidity": 0.5,
-        "pressure": 1013
-    }
-}
\ No newline at end of file
diff --git a/docs/api.md b/docs/api.md
deleted file mode 100644
index 30c8837..0000000
--- a/docs/api.md
+++ /dev/null
@@ -1,55 +0,0 @@
-# Especificación del API
-
-# APIs
-
-- Publicar datos en tiempo real 
-(requiere autenticación)
-```http
-POST /api/datos {"vehicle_id": ...}
-```
-
-- Obtener GTFS Schedule
-(no requiere autenticación)
-```http
-GET /api/gtfs
-```
-
-- Obtener GTFS Realtime - Actualizaciones de viaje (`TripUpdates`)
-```http
-GET /api/realtime/trip-updates
-```
-
-- Obtener GTFS Realtime - Posiciones del vehículo (`VehiclePositions`)
-```http
-GET /api/realtime/vehicle-positions
-```
-
-
-`bus.ucr.ac.cr/api/datos`
-
-## Especificación de los datos de los vehículos
-
-La siguiente especificación de datos fue construida con base en:
-
-- La especificación de datos abiertos de transporte público GTFS Schedule y GTFS Realtime v2.0
-- La Arquitectura de Referencia para Transporte Inteligente y Colaborativo (ARC-IT) del Departamento de Transportes de los Estados Unidos
-
-Su objetivo primario es la construcción de un *feed* (o "suministro de datos") en tiempo real para consumo de aplicaciones compatibles con GTFS. Esto es de utilidad, especialmente, para usuarios del servicio.
-
-Pero también está diseñado para prever necesidades y aplicaciones futuras con base en la amplia especificación de "paquetes de servicio" para transporte público de ARC-IT. Esto podría de uso primario para operadores, gestores, planificadores, reguladores y otras partes interesadas.
-
-```json
-{
-    "vehicle_id": "1234",
-    "route_id": "bUCR_L1",
-    "trip_id": "EYU94JE743",
-    "location": {
-        "latitude": 9.98363,
-        "longitude": -84.9474573
-    }
-}
-```
-
-``` title="Ejemplo de JSON"
---8<-- "./API.json"
-```
\ No newline at end of file
diff --git a/docs/assets/diagram.png b/docs/assets/diagram.png
deleted file mode 100644
index 6ccbf678b99dd91f3d23cd2bb0908925c5ab4c07..0000000000000000000000000000000000000000
GIT binary patch
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diff --git a/docs/deployment.md b/docs/deployment.md
deleted file mode 100644
index ae11000..0000000
--- a/docs/deployment.md
+++ /dev/null
@@ -1,238 +0,0 @@
-# Deployment
-
-On a Linux Ubuntu 22.04 LTS server, this is the configuration of Celery and Celery Beat with `systemd`, following most of the instructions in the [Daemonization guide](https://docs.celeryq.dev/en/stable/userguide/daemonizing.html#daemon-systemd-generic) of Celery.
-
-- **Note**: this assumes that Redis is installed (`sudo apt install redis-server`) and all the Python packages in `requirements.txt`. It is possible to check if Redis is running with `sudo systemctl is-enabled redis-server`.
-
-## Celery Deployment
-
-Configuring Celery as a system service. Preliminaries:
-
-- The Django project is in `/home/bucr/realtime`
-- The virtual environment is in `/home/bucr/realtime/realtimeenv/bin`
-- The user is `bucr` and belongs to the group `bucr`
-
-The environment variables are located in the file `/etc/conf.d/celery`, as shown below.
-
-```ini title="/etc/conf.d/celery"
-# Name of nodes to start
-CELERYD_NODES="w1"
-
-# Absolute or relative path to the 'celery' command:
-CELERY_BIN="/home/bucr/realtime/realtimeenv/bin/celery"
-
-# App instance to use
-CELERY_APP="realtime"
-
-# How to call manage.py
-CELERYD_MULTI="multi"
-
-# Extra command-line arguments to the worker
-CELERYD_OPTS="--time-limit=300 --concurrency=1"
-
-# - %n will be replaced with the first part of the nodename.
-# - %I will be replaced with the current child process index
-#   and is important when using the prefork pool to avoid race conditions.
-CELERYD_PID_FILE="/var/run/celery/%n.pid"
-CELERYD_LOG_FILE="/var/log/celery/%n%I.log"
-CELERYD_LOG_LEVEL="INFO"
-
-# Celery Beat
-CELERYBEAT_SCHEDULER="django_celery_beat.schedulers:DatabaseScheduler"
-CELERYBEAT_PID_FILE="/var/run/celery/beat.pid"
-CELERYBEAT_LOG_FILE="/var/log/celery/beat.log"
-```
-
-Notes:
-
-- Concurrency is set to 1 because current servers have single CPU(s), thread(s) per core and core(s) per socket.
-- The directories `/var/run/celery/` and `/var/log/celery/` for the PID and LOG files, respectively, must first be created when configuring Celery. So:
-
-```bash
-sudo mkdir -p /var/run/celery/
-sudo mkdir -p /var/log/celery/
-```
-
-- Now the user and group `bucr:bucr` need permissions for those directories:
-
-```bash
-sudo chown bucr:bucr /var/run/celery/
-sudo chown bucr:bucr /var/log/celery/
-```
-
-- The PID file and log file must be created on each reboot with the following configuration, where `bucr bucr` is the user and group and `0755` are the permissions.
-
-```ini title="/etc/tmpfiles.d/celery.conf"
-d /run/celery 0755 bucr bucr -
-d /var/log/celery 0755 bucr bucr -
-```
-
-### Celery Worker
-
-This process is configured below.
-
-```ini title="/etc/systemd/system/celery.service"
-[Unit]
-Description=Celery Service
-After=network.target
-
-[Service]
-Type=forking
-User=bucr
-Group=bucr
-EnvironmentFile=/etc/conf.d/celery
-WorkingDirectory=/home/bucr/realtime/
-RuntimeDirectory=celery
-ExecStart=/bin/sh -c '${CELERY_BIN} -A $CELERY_APP multi start $CELERYD_NODES \
-    --pidfile=${CELERYD_PID_FILE} \
-    --logfile=${CELERYD_LOG_FILE} \
-    --loglevel="${CELERYD_LOG_LEVEL}" \
-    $CELERYD_OPTS'
-ExecStop=/bin/sh -c '${CELERY_BIN} multi stopwait $CELERYD_NODES \
-    --pidfile=${CELERYD_PID_FILE} \
-    --logfile=${CELERYD_LOG_FILE} \
-    --loglevel="${CELERYD_LOG_LEVEL}"'
-ExecReload=/bin/sh -c '${CELERY_BIN} -A $CELERY_APP multi restart $CELERYD_NODES \
-    --pidfile=${CELERYD_PID_FILE} \
-    --logfile=${CELERYD_LOG_FILE} \
-    --loglevel="${CELERYD_LOG_LEVEL}" \
-    $CELERYD_OPTS'
-Restart=always
-
-[Install]
-WantedBy=multi-user.target
-```
-
-Relevant `systemctl` commands:
-
-- On every change to this file: `sudo systemctl daemon-reload`
-- To start: `sudo systemctl start celery`
-- To stop: `sudo systemctl stop celery`
-- To check status: `sudo systemctl status celery`
-- To allow execution on reboot: `sudo systemctl enable celery`
-- Others: `restart`/`reload`/`is-enabled`/`disable`
-
-### Celery Beat
-
-This process is configured below.
-
-- **Note**: the periodic tasks are configured in the Django admin panel, thanks to the package `django-celery-beat`, and as configured here with `--scheduler` as `django_celery_beat.schedulers:DatabaseScheduler`.
-
-```ini title="/etc/systemd/system/celerybeat.service"
-[Unit]
-Description=Celery Beat Service
-After=network.target celery.service
-
-[Service]
-Type=simple
-User=bucr
-Group=bucr
-EnvironmentFile=/etc/conf.d/celery
-WorkingDirectory=/home/bucr/realtime/
-ExecStart=/bin/sh -c '${CELERY_BIN} -A ${CELERY_APP} beat \
-    --pidfile=${CELERYBEAT_PID_FILE} \
-    --logfile=${CELERYBEAT_LOG_FILE} \
-    --loglevel=${CELERYD_LOG_LEVEL} \
-    --scheduler ${CELERYBEAT_SCHEDULER}'
-Restart=always
-
-[Install]
-WantedBy=multi-user.target
-```
-
-Relevant `systemctl` commands:
-
-- On every change to this file: `sudo systemctl daemon-reload`
-- To start: `sudo systemctl start celerybeat`
-- To stop: `sudo systemctl stop celerybeat`
-- To check status: `sudo systemctl status celerybeat`
-- To allow execution on reboot: `sudo systemctl enable celerybeat`
-- Others: `restart`/`reload`/`is-enabled`/`disable`
-
-## Daphne Deployment
-
-For using Channels and WebSockets, it is necessary to configure the Daphne server.
-
-```init title="/etc/systemd/system/daphne.service" hl_lines="9"
-[Unit]
-Description=WebSocket Daphne Service
-After=network.target
-
-[Service]
-User=bucr
-Group=www-data
-WorkingDirectory=/home/bucr/realtime
-ExecStart=/home/bucr/realtime/realtimeenv/bin/daphne -p 8001 realtime.asgi:application
-Restart=on-failure
-
-[Install]
-WantedBy=multi-user.target
-```
-
-Relevant `systemctl` commands:
-
-- On every change to this file: `sudo systemctl daemon-reload`
-- To start: `sudo systemctl start daphne`
-- To stop: `sudo systemctl stop daphne`
-- To check status: `sudo systemctl status daphne`
-- To allow execution on reboot: `sudo systemctl enable daphne`
-- Others: `restart`/`reload`/`is-enabled`/`disable`
-
-It is necessary to allow execution on reboot with `sudo systemctl enable daphne`.
-
-Now, for Nginx to proxy pass to Daphne, the following is needed:
-
-```init title="/etc/nginx/sites-available/realtime" hl_lines="15-20"
-server {
-    listen 80;
-    server_name server_domain_or_IP;
-
-    location = /favicon.ico { access_log off; log_not_found off; }
-    location /static/ {
-        root /home/bucr/realtime;
-    }
-
-    location / {
-        include proxy_params;
-        proxy_pass http://unix:/run/gunicorn.sock;
-    }
-
-    location /ws/ {
-        proxy_pass http://localhost:8001;
-        proxy_http_version 1.1;
-        proxy_set_header Upgrade $http_upgrade;
-        proxy_set_header Connection "upgrade";
-    }
-
-}
-```
-
-## Updating the repository
-
-```bash
-sudo nano restart_services.sh
-```
-
-where
-
-```bash
-#!/bin/bash
-
-sudo systemctl restart celery
-sudo systemctl restart celerybeat
-sudo systemctl restart daphne
-sudo systemctl restart gunicorn
-sudo systemctl restart nginx
-```
-
-and make executable with
-
-```bash
-sudo chmod +x restart_services.sh
-```
-
-and then execute
-
-```bash
-./restart_services.sh
-```
diff --git a/docs/development.md b/docs/development.md
deleted file mode 100644
index d06e044..0000000
--- a/docs/development.md
+++ /dev/null
@@ -1,84 +0,0 @@
-# Desarrollo funcional
-
-## Especificación de los datos
-
-Investigar y proponer una **especificación de los datos** de telemetría (?) recopilados de los buses y transmitidos al servidor.
-
-- Esto será parte de nuestra propuesta de arquitectura tecnológica.
-- Preliminarmente, estará inspirado en NGSI-LD para la especificación de los datos recopilados, posiblemente con JSON-LD como formato.
-- La decisión de cuáles datos recopilar puede estar basada en ARC-IT (según los distintos paquetes de servicio).
-- No está limitado a los datos disponibles en GTFS Realtime.
-- También puede depender de las necesidades operativa de las agencias de transporte (por ejemplo: hasta la presión de las llantas puede ser un dato a enviar).
-- A veces no podemos ser exhaustivos en la lista de variables pero sí podemos hacer una clasificación sensata de grandes categorías donde están esos datos.
-- Asumir que para nuestro prototipo vamos a probar con datos sintéticos creados con esta especificación.
-
-## Posibles fuentes de datos
-
-- Un _feed_ GTFS Realtime de alguna agencia (ejemplo: MBTA). Pros: ya están listos y accesibles. Contras: ya son GTFS Realtime (no incluye la transformación), son masivos y ajenos a nuestras pantallas.
-- Datos sintéticos para pruebas. Pros: pueden diseñarse para ser un MWE (ejemplo viable mínimo) para nuestro contexto específico. Contras: no son realistas, requieren pensar dedicadamente en la "simulación".
-  - _Hard-coded_
-  - Simulación con [SUMO](https://eclipse.dev/sumo/). Nota: hay un proyecto con Gustavo Núñez que desarrolló algo como esto.
-- Datos generados por un prototipo en la UCR (ejemplo: la implementación con RACSA). Pros: es el objetivo del proyecto. Contras: es laborioso y caro de implementar pues requiere de equipo de hardware y conexión a la red.
-
-El consenso es iniciar con datos sintéticos de prueba.
-
-## Datos sintéticos para pruebas del sistema
-
-Hacer un *script* de creación de **datos sintéticos** donde podamos simular datos "en tiempo real" para desplegarlos en las pantallas.
- 
-- Posiblemente, crear un *toy model* para la prueba del prototipo, no necesariamente un modelo realista del sistema de la U, pero sí tiene que ser consistente con un GTFS Schedule.
-- Considerar la aleatoriedad de los tiempos de desplazamiento y de la ocupación del bus. Para que tenga un realismo aceptable, debe ser coherente con, por ejemplo, los tiempos de subida y bajada de los pasajeros, etc.
-- Como referencia, hay un proyecto en SUMO (simulador de redes de tránsito vehicular), preguntar a Gustavo Núñez.
-- Los datos entre los buses son asincrónicos, es decir, llegan en cualquier momento, no están coordinados entre sí. Para que sea realista debe haber más de un bus (de preferencia muchos) circulando en cualquier momento dado.
-
-Premisas para hacer un modelo simplificado:
-
-- Utilizar el GTFS del bus UCR
-- La pantalla objetivo está en Facultad de Ingeniería (la visualización sería ahí)
-- Hacer salidas regulares de buses. Si un bus tarda aproximadamente de 20 a 30 minutos haciendo un viaje (depende de la trayectoria, con o sin "milla"), entonces con un tiempo de salida regular cada aproximadamente 15 minutos, siempre habría más de un bus reportando datos en el sistema. Esto es útil para probar la visualización. Dado el caso, sería posible modificar ese "headway" (tiempo entre salidas) para hacerlo menor o mayor y probar el sistema.
-- Podemos asumir libremente que el sistema opera 24/7 con salidas regulares. Que no se nos olvide probar el caso en el que no hay datos (ejemplo: la pantalla debe tener un mensaje de que no hay buses actualmente o algo así).
-- Elegir solamente los datos de GTFS Realtime (ocupación, velocidad, dirección, posición, odómetro) y *tal vez* algún dato complementario para enviar
-- Simulación de datos:
-  - Posición: elegir un punto de la secuencia de puntos de la trayectoria en la tabla `shapes.txt` basados en la distancia recorrida (`shape_dist_traveled`) y algún criterio de velocidad promedio del bus (por ejemplo 15 km/h para una trayectoria de 5 km recorrida en 20 minutos).
-  - Velocidad: un número aleatorio elegido de una distribución normal con valor medio 15 km/h (u otra velocidad promedio) con una desviación estándar "sensata".
-  - Ocupación: un número aleatorio entre 0 y C (capacidad máxima del bus) pero que cambia únicamente después de pasar por una parada. Para esto hay que conocer dónde están las paradas (tabla `stops.txt`). Mejor enfocar la aleatoriedad como: "se subieron o bajaron N personas en cada parada".
-  - Dirección: la dirección del vector que une el punto de la trayectoria anterior con la posición actual, y según GTFS Realtime: "Bearing, in degrees, clockwise from True North, i.e., 0 is North and 90 is East."
-  - Odómetro: distancia recorrida en el viaje, igual a `shape_dist_traveled`.
-- Luego: crear el `FeedMessage` binaro del GTFS Realtime a partir de esto.
-- Sugerencia: un _script_ para la creación de los datos simulados y otro _script_ para la conversión en GTFS Realtime (usar paquetes de Google para eso).
-
-## Creación de GTFS Realtime
-
-Crear un *script* de Python para recopilar los datos enviados según la especificación propuesta (arriba) y "confeccionar" un `FeedMessage` y dejar a disposición de todos los consumidores (incluyendo el otro servidor `gtfs-screens`).
-
-Es necesario **dominar** [GTFS Realtime](https://gtfs.org/realtime/reference/) a profundidad. Un `FeedMessage` tiene tres posibles *entidades*:
-
-- *Service Alerts*
-- *Trip Updates*
-- *Vehicle Positions*
-
-> GTFS Realtime es entregado como un archivo binario Protobuf `.pb`. Referencia de [MBTA GTFS Realtime](https://github.com/mbta/gtfs-documentation/blob/master/reference/gtfs-realtime.md) para ver las actualizaciones (también disponibles en JSON).
-
-En este proyecto, implementaremos *Vehicle Positions* y *Trip Updates*. *Service Alerts* no porque requiere de un sistema conectado con la agencia para que sea actualizado por personas, no es telemetría automatizada.
-
-Secuencia prevista de esta tarea:
-
-- Con algún mecanismo de recepción de datos en tiempo real (por ejemplo: Apache Pulsar) es necesario recopilar los datos y guardarlos en memoria.
-- Cada $N$ segundos es necesario crear el `FeedMessage`. Inicialmente, $N = 20$ (esta es una importante referencia también para los datos sintéticos).
-- Es necesario "desempacar" estos datos y crear la entidad `vehicle` de GTFS Realtime dentro de `FeedMessage`.
-- Finalmente, dejar el archivo `.pb` y quizá `.json` en una URL, por ejemplo: `buses.ucr.ac.cr/realtime/vehicle_positions.pb`.
-- Repetir *ad infinitum*
-
-Nota mental:
-
-- `VehiclePositions` se construye a partir de los datos de los buses
-- `TripUpdates` se construye a partir de cálculos hechos en el servidor
-- `ServiceAlerts` se construye a partir de *input* de una plataforma de interfaz con la administración del servicio
-
-## Estructura del proyecto en Django
-
-### Aplicaciones
-
-- `gtfs`: maneja la base de datos con los datos GTFS
-- `feed`: realiza las tareas periódicas de recolección de datos de los buses y la (futura) plataforma de `ServiceAlerts` para crear el `FeedMessage`.
-- `website`: controla las páginas misceláneas del servidor como panel de administración y panel de datos, etc.
\ No newline at end of file
diff --git a/docs/index.md b/docs/index.md
deleted file mode 100644
index 000ea34..0000000
--- a/docs/index.md
+++ /dev/null
@@ -1,17 +0,0 @@
-# Welcome to MkDocs
-
-For full documentation visit [mkdocs.org](https://www.mkdocs.org).
-
-## Commands
-
-* `mkdocs new [dir-name]` - Create a new project.
-* `mkdocs serve` - Start the live-reloading docs server.
-* `mkdocs build` - Build the documentation site.
-* `mkdocs -h` - Print help message and exit.
-
-## Project layout
-
-    mkdocs.yml    # The configuration file.
-    docs/
-        index.md  # The documentation homepage.
-        ...       # Other markdown pages, images and other files.
diff --git a/docs/logos/b.png b/docs/logos/b.png
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diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml
deleted file mode 100644
index 5020603..0000000
--- a/docs/mkdocs.yml
+++ /dev/null
@@ -1,40 +0,0 @@
-site_name: Servidor en tiempo real de datos GTFS
-
-nav:
-  - Inicio: index.md
-  - Desarrollo: development.md
-  - Equipo de abordo: obe.md
-  - Celery: deployment.md
-  - API: api.md
-
-extra_css:
-  - stylesheets/extra.css
-
-theme:
-  name: material
-  language: es
-  logo: assets/logos/b.png
-  favicon: assets/logos/b.png
-  palette:
-    scheme: ucr
-  features:
-    - navigation.expand
-    - navigation.tabs
-    - toc.integrate
-    - content.code.copy
-    - content.code.select
-
-markdown_extensions:
-  - admonition
-  - pymdownx.highlight:
-      anchor_linenums: true
-      line_spans: __span
-      pygments_lang_class: true
-  - pymdownx.inlinehilite
-  - pymdownx.snippets
-  - pymdownx.superfences
-  - pymdownx.superfences:
-      custom_fences:
-        - name: mermaid
-          class: mermaid
-          format: !!python/name:pymdownx.superfences.fence_code_format
\ No newline at end of file
diff --git a/docs/obe.md b/docs/obe.md
deleted file mode 100644
index 4ebcfef..0000000
--- a/docs/obe.md
+++ /dev/null
@@ -1,52 +0,0 @@
-# Especificación del equipo de abordo
-
-!!! info
-    Trabajo en desarrollo
-
-Un equipo de abordo (**OBE**, del inglés *On-Board Equipment*) es una computadora/router ubicada en las unidades de autobús diseñadas para varias tareas, entre ellas:
-
-- Recopilar datos del bus a través de sensores, como:
-    - Ubicación, velocidad, dirección, con GPS y/o sensores inerciales
-    - Ocupación del bus, con cámaras, barras u otros
-    - Presión de llantas, puertas abiertas, etc.
-    - Datos ambientales, con sensores de todo tipo
-- Enviar alertas con *input* del operador del bus (choques, quedó varado, etc.)
-- Operar como *router* Wi-Fi para pasajeros del bus
-- Enviar periódicamente toda la información necesaria por medio de alguna red de acceso (celular o Wi-Fi, por ejemplo) a uno o varios servidores
-
-## Requisitos
-
-### Requisitos mínimos
-
-- Sensor GPS
-- Conectividad en red celular y/o Wi-Fi
-- Interfaz para conductor
-
-# Requisitos deseables
-
-- Cámara para 
-- Pantalla informativa para pasajeros
-
-### Conectividad
-
-Es deseable conectividad celular, con capacidades para solicitudes HTTP
-
-## Especificación de los datos a enviar
-
-Los datos serán enviados siguiendo la especificación de los datos del API...
-
-### Interfaz
-
-Tareas:
-
-- Configurar el equipo para un vehículo
-- Ingresar los datos de cada viaje
-
-Ejemplo de secuencia de inicio de viaje:
-
-1. [Botón de configurar nuevo viaje]
-2. Seleccionar ruta del viaje
-3. Seleccionar viaje, según hora (lista prestablecida en GTFS Schedule)
-4. [Botón de iniciar viaje]
-    - Al iniciar viaje, se registran la fecha y hora
-
diff --git a/docs/old/API.json b/docs/old/API.json
deleted file mode 100644
index 10ee5bd..0000000
--- a/docs/old/API.json
+++ /dev/null
@@ -1,26 +0,0 @@
-{
-    "vehicle_id": "1234",
-    "route_id": "bUCR_L1",
-    "trip_id": "EYU94JE743",
-    "start_date": "20231112",
-    "start_time": "10:03:00",
-    "location": {
-        "latitude": 42.0,
-        "longitude": -71.0
-    },
-    "inertial": {
-        "bearing": 225,
-        "speed": 23,
-    },
-    "vehicle_health": {
-        "fuel_level": 0.5,
-        "oil_level": 0.5,
-        "tire_pressure": 0.5,
-        "battery_voltage": 12.5
-    },
-    "environmental": {
-        "temperature": 72,
-        "humidity": 0.5,
-        "pressure": 1013
-    }
-}
\ No newline at end of file
diff --git a/docs/old/api.md b/docs/old/api.md
deleted file mode 100644
index 30c8837..0000000
--- a/docs/old/api.md
+++ /dev/null
@@ -1,55 +0,0 @@
-# Especificación del API
-
-# APIs
-
-- Publicar datos en tiempo real 
-(requiere autenticación)
-```http
-POST /api/datos {"vehicle_id": ...}
-```
-
-- Obtener GTFS Schedule
-(no requiere autenticación)
-```http
-GET /api/gtfs
-```
-
-- Obtener GTFS Realtime - Actualizaciones de viaje (`TripUpdates`)
-```http
-GET /api/realtime/trip-updates
-```
-
-- Obtener GTFS Realtime - Posiciones del vehículo (`VehiclePositions`)
-```http
-GET /api/realtime/vehicle-positions
-```
-
-
-`bus.ucr.ac.cr/api/datos`
-
-## Especificación de los datos de los vehículos
-
-La siguiente especificación de datos fue construida con base en:
-
-- La especificación de datos abiertos de transporte público GTFS Schedule y GTFS Realtime v2.0
-- La Arquitectura de Referencia para Transporte Inteligente y Colaborativo (ARC-IT) del Departamento de Transportes de los Estados Unidos
-
-Su objetivo primario es la construcción de un *feed* (o "suministro de datos") en tiempo real para consumo de aplicaciones compatibles con GTFS. Esto es de utilidad, especialmente, para usuarios del servicio.
-
-Pero también está diseñado para prever necesidades y aplicaciones futuras con base en la amplia especificación de "paquetes de servicio" para transporte público de ARC-IT. Esto podría de uso primario para operadores, gestores, planificadores, reguladores y otras partes interesadas.
-
-```json
-{
-    "vehicle_id": "1234",
-    "route_id": "bUCR_L1",
-    "trip_id": "EYU94JE743",
-    "location": {
-        "latitude": 9.98363,
-        "longitude": -84.9474573
-    }
-}
-```
-
-``` title="Ejemplo de JSON"
---8<-- "./API.json"
-```
\ No newline at end of file
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diff --git a/docs/old/deployment.md b/docs/old/deployment.md
deleted file mode 100644
index ae11000..0000000
--- a/docs/old/deployment.md
+++ /dev/null
@@ -1,238 +0,0 @@
-# Deployment
-
-On a Linux Ubuntu 22.04 LTS server, this is the configuration of Celery and Celery Beat with `systemd`, following most of the instructions in the [Daemonization guide](https://docs.celeryq.dev/en/stable/userguide/daemonizing.html#daemon-systemd-generic) of Celery.
-
-- **Note**: this assumes that Redis is installed (`sudo apt install redis-server`) and all the Python packages in `requirements.txt`. It is possible to check if Redis is running with `sudo systemctl is-enabled redis-server`.
-
-## Celery Deployment
-
-Configuring Celery as a system service. Preliminaries:
-
-- The Django project is in `/home/bucr/realtime`
-- The virtual environment is in `/home/bucr/realtime/realtimeenv/bin`
-- The user is `bucr` and belongs to the group `bucr`
-
-The environment variables are located in the file `/etc/conf.d/celery`, as shown below.
-
-```ini title="/etc/conf.d/celery"
-# Name of nodes to start
-CELERYD_NODES="w1"
-
-# Absolute or relative path to the 'celery' command:
-CELERY_BIN="/home/bucr/realtime/realtimeenv/bin/celery"
-
-# App instance to use
-CELERY_APP="realtime"
-
-# How to call manage.py
-CELERYD_MULTI="multi"
-
-# Extra command-line arguments to the worker
-CELERYD_OPTS="--time-limit=300 --concurrency=1"
-
-# - %n will be replaced with the first part of the nodename.
-# - %I will be replaced with the current child process index
-#   and is important when using the prefork pool to avoid race conditions.
-CELERYD_PID_FILE="/var/run/celery/%n.pid"
-CELERYD_LOG_FILE="/var/log/celery/%n%I.log"
-CELERYD_LOG_LEVEL="INFO"
-
-# Celery Beat
-CELERYBEAT_SCHEDULER="django_celery_beat.schedulers:DatabaseScheduler"
-CELERYBEAT_PID_FILE="/var/run/celery/beat.pid"
-CELERYBEAT_LOG_FILE="/var/log/celery/beat.log"
-```
-
-Notes:
-
-- Concurrency is set to 1 because current servers have single CPU(s), thread(s) per core and core(s) per socket.
-- The directories `/var/run/celery/` and `/var/log/celery/` for the PID and LOG files, respectively, must first be created when configuring Celery. So:
-
-```bash
-sudo mkdir -p /var/run/celery/
-sudo mkdir -p /var/log/celery/
-```
-
-- Now the user and group `bucr:bucr` need permissions for those directories:
-
-```bash
-sudo chown bucr:bucr /var/run/celery/
-sudo chown bucr:bucr /var/log/celery/
-```
-
-- The PID file and log file must be created on each reboot with the following configuration, where `bucr bucr` is the user and group and `0755` are the permissions.
-
-```ini title="/etc/tmpfiles.d/celery.conf"
-d /run/celery 0755 bucr bucr -
-d /var/log/celery 0755 bucr bucr -
-```
-
-### Celery Worker
-
-This process is configured below.
-
-```ini title="/etc/systemd/system/celery.service"
-[Unit]
-Description=Celery Service
-After=network.target
-
-[Service]
-Type=forking
-User=bucr
-Group=bucr
-EnvironmentFile=/etc/conf.d/celery
-WorkingDirectory=/home/bucr/realtime/
-RuntimeDirectory=celery
-ExecStart=/bin/sh -c '${CELERY_BIN} -A $CELERY_APP multi start $CELERYD_NODES \
-    --pidfile=${CELERYD_PID_FILE} \
-    --logfile=${CELERYD_LOG_FILE} \
-    --loglevel="${CELERYD_LOG_LEVEL}" \
-    $CELERYD_OPTS'
-ExecStop=/bin/sh -c '${CELERY_BIN} multi stopwait $CELERYD_NODES \
-    --pidfile=${CELERYD_PID_FILE} \
-    --logfile=${CELERYD_LOG_FILE} \
-    --loglevel="${CELERYD_LOG_LEVEL}"'
-ExecReload=/bin/sh -c '${CELERY_BIN} -A $CELERY_APP multi restart $CELERYD_NODES \
-    --pidfile=${CELERYD_PID_FILE} \
-    --logfile=${CELERYD_LOG_FILE} \
-    --loglevel="${CELERYD_LOG_LEVEL}" \
-    $CELERYD_OPTS'
-Restart=always
-
-[Install]
-WantedBy=multi-user.target
-```
-
-Relevant `systemctl` commands:
-
-- On every change to this file: `sudo systemctl daemon-reload`
-- To start: `sudo systemctl start celery`
-- To stop: `sudo systemctl stop celery`
-- To check status: `sudo systemctl status celery`
-- To allow execution on reboot: `sudo systemctl enable celery`
-- Others: `restart`/`reload`/`is-enabled`/`disable`
-
-### Celery Beat
-
-This process is configured below.
-
-- **Note**: the periodic tasks are configured in the Django admin panel, thanks to the package `django-celery-beat`, and as configured here with `--scheduler` as `django_celery_beat.schedulers:DatabaseScheduler`.
-
-```ini title="/etc/systemd/system/celerybeat.service"
-[Unit]
-Description=Celery Beat Service
-After=network.target celery.service
-
-[Service]
-Type=simple
-User=bucr
-Group=bucr
-EnvironmentFile=/etc/conf.d/celery
-WorkingDirectory=/home/bucr/realtime/
-ExecStart=/bin/sh -c '${CELERY_BIN} -A ${CELERY_APP} beat \
-    --pidfile=${CELERYBEAT_PID_FILE} \
-    --logfile=${CELERYBEAT_LOG_FILE} \
-    --loglevel=${CELERYD_LOG_LEVEL} \
-    --scheduler ${CELERYBEAT_SCHEDULER}'
-Restart=always
-
-[Install]
-WantedBy=multi-user.target
-```
-
-Relevant `systemctl` commands:
-
-- On every change to this file: `sudo systemctl daemon-reload`
-- To start: `sudo systemctl start celerybeat`
-- To stop: `sudo systemctl stop celerybeat`
-- To check status: `sudo systemctl status celerybeat`
-- To allow execution on reboot: `sudo systemctl enable celerybeat`
-- Others: `restart`/`reload`/`is-enabled`/`disable`
-
-## Daphne Deployment
-
-For using Channels and WebSockets, it is necessary to configure the Daphne server.
-
-```init title="/etc/systemd/system/daphne.service" hl_lines="9"
-[Unit]
-Description=WebSocket Daphne Service
-After=network.target
-
-[Service]
-User=bucr
-Group=www-data
-WorkingDirectory=/home/bucr/realtime
-ExecStart=/home/bucr/realtime/realtimeenv/bin/daphne -p 8001 realtime.asgi:application
-Restart=on-failure
-
-[Install]
-WantedBy=multi-user.target
-```
-
-Relevant `systemctl` commands:
-
-- On every change to this file: `sudo systemctl daemon-reload`
-- To start: `sudo systemctl start daphne`
-- To stop: `sudo systemctl stop daphne`
-- To check status: `sudo systemctl status daphne`
-- To allow execution on reboot: `sudo systemctl enable daphne`
-- Others: `restart`/`reload`/`is-enabled`/`disable`
-
-It is necessary to allow execution on reboot with `sudo systemctl enable daphne`.
-
-Now, for Nginx to proxy pass to Daphne, the following is needed:
-
-```init title="/etc/nginx/sites-available/realtime" hl_lines="15-20"
-server {
-    listen 80;
-    server_name server_domain_or_IP;
-
-    location = /favicon.ico { access_log off; log_not_found off; }
-    location /static/ {
-        root /home/bucr/realtime;
-    }
-
-    location / {
-        include proxy_params;
-        proxy_pass http://unix:/run/gunicorn.sock;
-    }
-
-    location /ws/ {
-        proxy_pass http://localhost:8001;
-        proxy_http_version 1.1;
-        proxy_set_header Upgrade $http_upgrade;
-        proxy_set_header Connection "upgrade";
-    }
-
-}
-```
-
-## Updating the repository
-
-```bash
-sudo nano restart_services.sh
-```
-
-where
-
-```bash
-#!/bin/bash
-
-sudo systemctl restart celery
-sudo systemctl restart celerybeat
-sudo systemctl restart daphne
-sudo systemctl restart gunicorn
-sudo systemctl restart nginx
-```
-
-and make executable with
-
-```bash
-sudo chmod +x restart_services.sh
-```
-
-and then execute
-
-```bash
-./restart_services.sh
-```
diff --git a/docs/old/development.md b/docs/old/development.md
deleted file mode 100644
index d06e044..0000000
--- a/docs/old/development.md
+++ /dev/null
@@ -1,84 +0,0 @@
-# Desarrollo funcional
-
-## Especificación de los datos
-
-Investigar y proponer una **especificación de los datos** de telemetría (?) recopilados de los buses y transmitidos al servidor.
-
-- Esto será parte de nuestra propuesta de arquitectura tecnológica.
-- Preliminarmente, estará inspirado en NGSI-LD para la especificación de los datos recopilados, posiblemente con JSON-LD como formato.
-- La decisión de cuáles datos recopilar puede estar basada en ARC-IT (según los distintos paquetes de servicio).
-- No está limitado a los datos disponibles en GTFS Realtime.
-- También puede depender de las necesidades operativa de las agencias de transporte (por ejemplo: hasta la presión de las llantas puede ser un dato a enviar).
-- A veces no podemos ser exhaustivos en la lista de variables pero sí podemos hacer una clasificación sensata de grandes categorías donde están esos datos.
-- Asumir que para nuestro prototipo vamos a probar con datos sintéticos creados con esta especificación.
-
-## Posibles fuentes de datos
-
-- Un _feed_ GTFS Realtime de alguna agencia (ejemplo: MBTA). Pros: ya están listos y accesibles. Contras: ya son GTFS Realtime (no incluye la transformación), son masivos y ajenos a nuestras pantallas.
-- Datos sintéticos para pruebas. Pros: pueden diseñarse para ser un MWE (ejemplo viable mínimo) para nuestro contexto específico. Contras: no son realistas, requieren pensar dedicadamente en la "simulación".
-  - _Hard-coded_
-  - Simulación con [SUMO](https://eclipse.dev/sumo/). Nota: hay un proyecto con Gustavo Núñez que desarrolló algo como esto.
-- Datos generados por un prototipo en la UCR (ejemplo: la implementación con RACSA). Pros: es el objetivo del proyecto. Contras: es laborioso y caro de implementar pues requiere de equipo de hardware y conexión a la red.
-
-El consenso es iniciar con datos sintéticos de prueba.
-
-## Datos sintéticos para pruebas del sistema
-
-Hacer un *script* de creación de **datos sintéticos** donde podamos simular datos "en tiempo real" para desplegarlos en las pantallas.
- 
-- Posiblemente, crear un *toy model* para la prueba del prototipo, no necesariamente un modelo realista del sistema de la U, pero sí tiene que ser consistente con un GTFS Schedule.
-- Considerar la aleatoriedad de los tiempos de desplazamiento y de la ocupación del bus. Para que tenga un realismo aceptable, debe ser coherente con, por ejemplo, los tiempos de subida y bajada de los pasajeros, etc.
-- Como referencia, hay un proyecto en SUMO (simulador de redes de tránsito vehicular), preguntar a Gustavo Núñez.
-- Los datos entre los buses son asincrónicos, es decir, llegan en cualquier momento, no están coordinados entre sí. Para que sea realista debe haber más de un bus (de preferencia muchos) circulando en cualquier momento dado.
-
-Premisas para hacer un modelo simplificado:
-
-- Utilizar el GTFS del bus UCR
-- La pantalla objetivo está en Facultad de Ingeniería (la visualización sería ahí)
-- Hacer salidas regulares de buses. Si un bus tarda aproximadamente de 20 a 30 minutos haciendo un viaje (depende de la trayectoria, con o sin "milla"), entonces con un tiempo de salida regular cada aproximadamente 15 minutos, siempre habría más de un bus reportando datos en el sistema. Esto es útil para probar la visualización. Dado el caso, sería posible modificar ese "headway" (tiempo entre salidas) para hacerlo menor o mayor y probar el sistema.
-- Podemos asumir libremente que el sistema opera 24/7 con salidas regulares. Que no se nos olvide probar el caso en el que no hay datos (ejemplo: la pantalla debe tener un mensaje de que no hay buses actualmente o algo así).
-- Elegir solamente los datos de GTFS Realtime (ocupación, velocidad, dirección, posición, odómetro) y *tal vez* algún dato complementario para enviar
-- Simulación de datos:
-  - Posición: elegir un punto de la secuencia de puntos de la trayectoria en la tabla `shapes.txt` basados en la distancia recorrida (`shape_dist_traveled`) y algún criterio de velocidad promedio del bus (por ejemplo 15 km/h para una trayectoria de 5 km recorrida en 20 minutos).
-  - Velocidad: un número aleatorio elegido de una distribución normal con valor medio 15 km/h (u otra velocidad promedio) con una desviación estándar "sensata".
-  - Ocupación: un número aleatorio entre 0 y C (capacidad máxima del bus) pero que cambia únicamente después de pasar por una parada. Para esto hay que conocer dónde están las paradas (tabla `stops.txt`). Mejor enfocar la aleatoriedad como: "se subieron o bajaron N personas en cada parada".
-  - Dirección: la dirección del vector que une el punto de la trayectoria anterior con la posición actual, y según GTFS Realtime: "Bearing, in degrees, clockwise from True North, i.e., 0 is North and 90 is East."
-  - Odómetro: distancia recorrida en el viaje, igual a `shape_dist_traveled`.
-- Luego: crear el `FeedMessage` binaro del GTFS Realtime a partir de esto.
-- Sugerencia: un _script_ para la creación de los datos simulados y otro _script_ para la conversión en GTFS Realtime (usar paquetes de Google para eso).
-
-## Creación de GTFS Realtime
-
-Crear un *script* de Python para recopilar los datos enviados según la especificación propuesta (arriba) y "confeccionar" un `FeedMessage` y dejar a disposición de todos los consumidores (incluyendo el otro servidor `gtfs-screens`).
-
-Es necesario **dominar** [GTFS Realtime](https://gtfs.org/realtime/reference/) a profundidad. Un `FeedMessage` tiene tres posibles *entidades*:
-
-- *Service Alerts*
-- *Trip Updates*
-- *Vehicle Positions*
-
-> GTFS Realtime es entregado como un archivo binario Protobuf `.pb`. Referencia de [MBTA GTFS Realtime](https://github.com/mbta/gtfs-documentation/blob/master/reference/gtfs-realtime.md) para ver las actualizaciones (también disponibles en JSON).
-
-En este proyecto, implementaremos *Vehicle Positions* y *Trip Updates*. *Service Alerts* no porque requiere de un sistema conectado con la agencia para que sea actualizado por personas, no es telemetría automatizada.
-
-Secuencia prevista de esta tarea:
-
-- Con algún mecanismo de recepción de datos en tiempo real (por ejemplo: Apache Pulsar) es necesario recopilar los datos y guardarlos en memoria.
-- Cada $N$ segundos es necesario crear el `FeedMessage`. Inicialmente, $N = 20$ (esta es una importante referencia también para los datos sintéticos).
-- Es necesario "desempacar" estos datos y crear la entidad `vehicle` de GTFS Realtime dentro de `FeedMessage`.
-- Finalmente, dejar el archivo `.pb` y quizá `.json` en una URL, por ejemplo: `buses.ucr.ac.cr/realtime/vehicle_positions.pb`.
-- Repetir *ad infinitum*
-
-Nota mental:
-
-- `VehiclePositions` se construye a partir de los datos de los buses
-- `TripUpdates` se construye a partir de cálculos hechos en el servidor
-- `ServiceAlerts` se construye a partir de *input* de una plataforma de interfaz con la administración del servicio
-
-## Estructura del proyecto en Django
-
-### Aplicaciones
-
-- `gtfs`: maneja la base de datos con los datos GTFS
-- `feed`: realiza las tareas periódicas de recolección de datos de los buses y la (futura) plataforma de `ServiceAlerts` para crear el `FeedMessage`.
-- `website`: controla las páginas misceláneas del servidor como panel de administración y panel de datos, etc.
\ No newline at end of file
diff --git a/docs/old/index.md b/docs/old/index.md
deleted file mode 100644
index 000ea34..0000000
--- a/docs/old/index.md
+++ /dev/null
@@ -1,17 +0,0 @@
-# Welcome to MkDocs
-
-For full documentation visit [mkdocs.org](https://www.mkdocs.org).
-
-## Commands
-
-* `mkdocs new [dir-name]` - Create a new project.
-* `mkdocs serve` - Start the live-reloading docs server.
-* `mkdocs build` - Build the documentation site.
-* `mkdocs -h` - Print help message and exit.
-
-## Project layout
-
-    mkdocs.yml    # The configuration file.
-    docs/
-        index.md  # The documentation homepage.
-        ...       # Other markdown pages, images and other files.
diff --git a/docs/old/logos/b.png b/docs/old/logos/b.png
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diff --git a/docs/old/mkdocs.yml b/docs/old/mkdocs.yml
deleted file mode 100644
index 5020603..0000000
--- a/docs/old/mkdocs.yml
+++ /dev/null
@@ -1,40 +0,0 @@
-site_name: Servidor en tiempo real de datos GTFS
-
-nav:
-  - Inicio: index.md
-  - Desarrollo: development.md
-  - Equipo de abordo: obe.md
-  - Celery: deployment.md
-  - API: api.md
-
-extra_css:
-  - stylesheets/extra.css
-
-theme:
-  name: material
-  language: es
-  logo: assets/logos/b.png
-  favicon: assets/logos/b.png
-  palette:
-    scheme: ucr
-  features:
-    - navigation.expand
-    - navigation.tabs
-    - toc.integrate
-    - content.code.copy
-    - content.code.select
-
-markdown_extensions:
-  - admonition
-  - pymdownx.highlight:
-      anchor_linenums: true
-      line_spans: __span
-      pygments_lang_class: true
-  - pymdownx.inlinehilite
-  - pymdownx.snippets
-  - pymdownx.superfences
-  - pymdownx.superfences:
-      custom_fences:
-        - name: mermaid
-          class: mermaid
-          format: !!python/name:pymdownx.superfences.fence_code_format
\ No newline at end of file
diff --git a/docs/old/obe.md b/docs/old/obe.md
deleted file mode 100644
index 4ebcfef..0000000
--- a/docs/old/obe.md
+++ /dev/null
@@ -1,52 +0,0 @@
-# Especificación del equipo de abordo
-
-!!! info
-    Trabajo en desarrollo
-
-Un equipo de abordo (**OBE**, del inglés *On-Board Equipment*) es una computadora/router ubicada en las unidades de autobús diseñadas para varias tareas, entre ellas:
-
-- Recopilar datos del bus a través de sensores, como:
-    - Ubicación, velocidad, dirección, con GPS y/o sensores inerciales
-    - Ocupación del bus, con cámaras, barras u otros
-    - Presión de llantas, puertas abiertas, etc.
-    - Datos ambientales, con sensores de todo tipo
-- Enviar alertas con *input* del operador del bus (choques, quedó varado, etc.)
-- Operar como *router* Wi-Fi para pasajeros del bus
-- Enviar periódicamente toda la información necesaria por medio de alguna red de acceso (celular o Wi-Fi, por ejemplo) a uno o varios servidores
-
-## Requisitos
-
-### Requisitos mínimos
-
-- Sensor GPS
-- Conectividad en red celular y/o Wi-Fi
-- Interfaz para conductor
-
-# Requisitos deseables
-
-- Cámara para 
-- Pantalla informativa para pasajeros
-
-### Conectividad
-
-Es deseable conectividad celular, con capacidades para solicitudes HTTP
-
-## Especificación de los datos a enviar
-
-Los datos serán enviados siguiendo la especificación de los datos del API...
-
-### Interfaz
-
-Tareas:
-
-- Configurar el equipo para un vehículo
-- Ingresar los datos de cada viaje
-
-Ejemplo de secuencia de inicio de viaje:
-
-1. [Botón de configurar nuevo viaje]
-2. Seleccionar ruta del viaje
-3. Seleccionar viaje, según hora (lista prestablecida en GTFS Schedule)
-4. [Botón de iniciar viaje]
-    - Al iniciar viaje, se registran la fecha y hora
-
diff --git a/docs/old/oldHOWTO.md b/docs/old/oldHOWTO.md
deleted file mode 100644
index 437b67b..0000000
--- a/docs/old/oldHOWTO.md
+++ /dev/null
@@ -1,170 +0,0 @@
-# Instrucciones de ejecución de la plataforma
-
----
-
-URGENTE LA RENOVACIÓN DE Esto
-
-## Development
-
-```sh
-docker compose -f docker-compose.dev.yml build
-```
-
-## Production
-
-```sh
-docker compose -f docker-compose.prod.yml build
-```
-
----
-
-El sistema requiere de:
-
-- Django / Python
-- PostgreSQL / PostGIS
-- Celery / Celery Beat
-- Redis
-
-## Django
-
-La plataforma de Django será útil para:
-
-- Crear el sitio web con el panel de administración
-- Administrar las tareas periódicas con su integración con Celery y Celery Beat
-- Actualizar la información en tiempo real con las pantallas con WebSockets
-
-Es necesario instalar Django 5.0 y la extensión Django Channels:
-
-```bash
-pip install django
-pip install channels
-```
-
-## PostgreSQL / PostGIS
-
-El proyecto requiere de una base de datos con una extensión para datos geoespaciales...
-
-```bash
-sudo apt install postgresql
-(...)
-sudo apt install postgis
-```
-
-Modificar `pg_hba.conf` de forma que sea:
-
-```text
-local    all    postgres   trust
-
-local    all    all        trust
-```
-
-y así no tendrá contraseñas. Luego en la terminal:
-
-```bash
-sudo -u postgres psql
-```
-
-que nos lleva a la interfaz de `psql` para configurar un nuevo usuario:
-
-```bash
-postgres=# CREATE ROLE user_name SUPERUSER;
-postgres=# ALTER ROLE user_name LOGIN;
-```
-
-Ahora podemos crear una base de datos, para este proyecto:
-
-```bash
-createdb realtime
-```
-
-ahora hay que ingresar a esa base de datos:
-
-```bash
-psql realtime
-```
-
-y ahí crear la extensión de PostGIS con:
-
-```bash
-realtime=# CREATE EXTENSION postgis;
-```
-
-Con esto quedaría lista la base de datos para conectarnos desde Django.
-
-## Celery
-
-Celery es un administrador de tareas (_task manager_)...
-
-### Celery
-
-Instalar Celery...
-
-```bash
-pip install version
-```
-
-y probar con `celery --version`.
-
-Ejecutar Celery con:
-
-```bash
-celery -A realtime worker --loglevel=info
-```
-
-### Celery Beat
-
-Celery utiliza los paquetes de integración con Django `django-celery-results` y `django-celery-beat`, y el intermediador de mensajes Redis.
-
-```bash
-celery -A realtime beat --scheduler django_celery_beat.schedulers:DatabaseScheduler --loglevel=info
-```
-
-## Redis
-
-```bash
-sudo apt install redis-server
-```
-
-Nota: en macOS:
-
-```bash
-brew install redis
-```
-
-Probar su estado como proceso del sistema:
-
-```bash
-sudo systemctl status redis-server
-```
-
-Probar la conexión:
-
-```bash
->>> redis-cli ping
-PONG
-```
-
-## Django Channels
-
-Para habilitar la conexión permanente y bidireccional entre cliente y servidor con WebSockets, es necesario utilizar la extensión Django [Channels](https://channels.readthedocs.io/en/latest/), con [Daphne](https://github.com/django/daphne) como servidor HTTP/WebSocket (`http://`/`ws://`) y con [Redis](https://github.com/django/channels_redis) como intermediador de mensajes nuevamente. Para esto son necesarios los paquetes:
-
-- `channels`
-- `daphne`
-- `redis`
-- `channel-redis`
-
-Este es un modo de conexión asíncrono, y por tanto requiere de la configuración ASGI (_Asynchronous Server Gateway Interface_). Esto se hace en el archivo `asgi.py`.
-
-Similar a `urls.py`, Channels requiere un archivo `routing.py` donde establece los `websocket_urlpatterns`, es decir, las rutas o URLs donde se establece la conexión del WebSocket `ws://`.
-
-También, similar a `views.py`, Channels define un archivo `consumers.py` donde define la lógica a realizar durante la conexión.
-
-A diferencia de
-
-Al configurar `settings.py` con Daphne, el comando `python manage.py runserver` ahora ejecuta también ASGI. De hecho, ahora en la terminal se muestra:
-
-```bash
-Starting ASGI/Daphne version 4.1.0 development server at http://127.0.0.1:8000/
-```
-
-y toda la funcionalidad "regular" (WSGI) continúa operando.
diff --git a/docs/old/stylesheets/extra.css b/docs/old/stylesheets/extra.css
deleted file mode 100644
index 37ec2b6..0000000
--- a/docs/old/stylesheets/extra.css
+++ /dev/null
@@ -1,5 +0,0 @@
-[data-md-color-scheme="ucr"] {
-    --md-primary-fg-color: #005DA4;
-    --md-primary-fg-color--light: #00C0F3;
-    --md-primary-fg-color--dark: #008641;
-}
\ No newline at end of file
diff --git a/docs/oldHOWTO.md b/docs/oldHOWTO.md
deleted file mode 100644
index 437b67b..0000000
--- a/docs/oldHOWTO.md
+++ /dev/null
@@ -1,170 +0,0 @@
-# Instrucciones de ejecución de la plataforma
-
----
-
-URGENTE LA RENOVACIÓN DE Esto
-
-## Development
-
-```sh
-docker compose -f docker-compose.dev.yml build
-```
-
-## Production
-
-```sh
-docker compose -f docker-compose.prod.yml build
-```
-
----
-
-El sistema requiere de:
-
-- Django / Python
-- PostgreSQL / PostGIS
-- Celery / Celery Beat
-- Redis
-
-## Django
-
-La plataforma de Django será útil para:
-
-- Crear el sitio web con el panel de administración
-- Administrar las tareas periódicas con su integración con Celery y Celery Beat
-- Actualizar la información en tiempo real con las pantallas con WebSockets
-
-Es necesario instalar Django 5.0 y la extensión Django Channels:
-
-```bash
-pip install django
-pip install channels
-```
-
-## PostgreSQL / PostGIS
-
-El proyecto requiere de una base de datos con una extensión para datos geoespaciales...
-
-```bash
-sudo apt install postgresql
-(...)
-sudo apt install postgis
-```
-
-Modificar `pg_hba.conf` de forma que sea:
-
-```text
-local    all    postgres   trust
-
-local    all    all        trust
-```
-
-y así no tendrá contraseñas. Luego en la terminal:
-
-```bash
-sudo -u postgres psql
-```
-
-que nos lleva a la interfaz de `psql` para configurar un nuevo usuario:
-
-```bash
-postgres=# CREATE ROLE user_name SUPERUSER;
-postgres=# ALTER ROLE user_name LOGIN;
-```
-
-Ahora podemos crear una base de datos, para este proyecto:
-
-```bash
-createdb realtime
-```
-
-ahora hay que ingresar a esa base de datos:
-
-```bash
-psql realtime
-```
-
-y ahí crear la extensión de PostGIS con:
-
-```bash
-realtime=# CREATE EXTENSION postgis;
-```
-
-Con esto quedaría lista la base de datos para conectarnos desde Django.
-
-## Celery
-
-Celery es un administrador de tareas (_task manager_)...
-
-### Celery
-
-Instalar Celery...
-
-```bash
-pip install version
-```
-
-y probar con `celery --version`.
-
-Ejecutar Celery con:
-
-```bash
-celery -A realtime worker --loglevel=info
-```
-
-### Celery Beat
-
-Celery utiliza los paquetes de integración con Django `django-celery-results` y `django-celery-beat`, y el intermediador de mensajes Redis.
-
-```bash
-celery -A realtime beat --scheduler django_celery_beat.schedulers:DatabaseScheduler --loglevel=info
-```
-
-## Redis
-
-```bash
-sudo apt install redis-server
-```
-
-Nota: en macOS:
-
-```bash
-brew install redis
-```
-
-Probar su estado como proceso del sistema:
-
-```bash
-sudo systemctl status redis-server
-```
-
-Probar la conexión:
-
-```bash
->>> redis-cli ping
-PONG
-```
-
-## Django Channels
-
-Para habilitar la conexión permanente y bidireccional entre cliente y servidor con WebSockets, es necesario utilizar la extensión Django [Channels](https://channels.readthedocs.io/en/latest/), con [Daphne](https://github.com/django/daphne) como servidor HTTP/WebSocket (`http://`/`ws://`) y con [Redis](https://github.com/django/channels_redis) como intermediador de mensajes nuevamente. Para esto son necesarios los paquetes:
-
-- `channels`
-- `daphne`
-- `redis`
-- `channel-redis`
-
-Este es un modo de conexión asíncrono, y por tanto requiere de la configuración ASGI (_Asynchronous Server Gateway Interface_). Esto se hace en el archivo `asgi.py`.
-
-Similar a `urls.py`, Channels requiere un archivo `routing.py` donde establece los `websocket_urlpatterns`, es decir, las rutas o URLs donde se establece la conexión del WebSocket `ws://`.
-
-También, similar a `views.py`, Channels define un archivo `consumers.py` donde define la lógica a realizar durante la conexión.
-
-A diferencia de
-
-Al configurar `settings.py` con Daphne, el comando `python manage.py runserver` ahora ejecuta también ASGI. De hecho, ahora en la terminal se muestra:
-
-```bash
-Starting ASGI/Daphne version 4.1.0 development server at http://127.0.0.1:8000/
-```
-
-y toda la funcionalidad "regular" (WSGI) continúa operando.
diff --git a/docs/stylesheets/extra.css b/docs/stylesheets/extra.css
deleted file mode 100644
index 37ec2b6..0000000
--- a/docs/stylesheets/extra.css
+++ /dev/null
@@ -1,5 +0,0 @@
-[data-md-color-scheme="ucr"] {
-    --md-primary-fg-color: #005DA4;
-    --md-primary-fg-color--light: #00C0F3;
-    --md-primary-fg-color--dark: #008641;
-}
\ No newline at end of file

From a6a4ac466266cabc78f4ae5ed86abae00dafbbd2 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Tue, 18 Aug 2026 23:26:00 -0600
Subject: [PATCH 23/68] style: remove unused imports and variables (ruff
 F401/F841)

Keep project_point_to_polyline in progression/shapes.py with a noqa:
compute.py calls it via module-attribute access, which ruff cannot see.
---
 backend/api/admin.py                                          | 2 --
 backend/api/models.py                                         | 2 --
 backend/api/serializers.py                                    | 1 -
 backend/api/urls.py                                           | 2 --
 backend/api/views.py                                          | 1 -
 backend/operations/tests.py                                   | 2 --
 backend/operations/views.py                                   | 2 --
 backend/realtime_engine/admin.py                              | 2 --
 backend/realtime_engine/models.py                             | 2 --
 backend/realtime_engine/tests/test_mqtt_ingestion.py          | 2 +-
 backend/realtime_engine/views.py                              | 2 --
 backend/runs/domain/lifecycle/guards.py                       | 2 +-
 backend/runs/domain/progression/shapes.py                     | 2 +-
 backend/runs/domain/progression/stop_times.py                 | 2 +-
 backend/runs/domain/progression/tests/test_compute.py         | 2 --
 backend/runs/domain/progression/tests/test_producer.py        | 4 +---
 .../runs/domain/progression/tests/test_stop_times_producer.py | 2 --
 backend/runs/tests.py                                         | 2 --
 backend/runs/views.py                                         | 2 --
 backend/schedule_engine/admin.py                              | 2 --
 backend/schedule_engine/models.py                             | 2 --
 backend/schedule_engine/tasks.py                              | 2 --
 backend/schedule_engine/tests.py                              | 2 --
 backend/website/admin.py                                      | 2 --
 backend/website/models.py                                     | 2 --
 backend/website/tests.py                                      | 2 --
 26 files changed, 5 insertions(+), 47 deletions(-)

diff --git a/backend/api/admin.py b/backend/api/admin.py
index 8c38f3f..846f6b4 100644
--- a/backend/api/admin.py
+++ b/backend/api/admin.py
@@ -1,3 +1 @@
-from django.contrib import admin
-
 # Register your models here.
diff --git a/backend/api/models.py b/backend/api/models.py
index 71a8362..6b20219 100644
--- a/backend/api/models.py
+++ b/backend/api/models.py
@@ -1,3 +1 @@
-from django.db import models
-
 # Create your models here.
diff --git a/backend/api/serializers.py b/backend/api/serializers.py
index a9e2f9f..61a4210 100644
--- a/backend/api/serializers.py
+++ b/backend/api/serializers.py
@@ -17,7 +17,6 @@
 from feed.models import *
 from django.contrib.auth.models import User
 from rest_framework import serializers
-from django.contrib.gis.geos import Point
 from rest_framework_gis.serializers import GeoFeatureModelSerializer, GeometryField
 
 # --------------
diff --git a/backend/api/urls.py b/backend/api/urls.py
index 845eae4..94d90d3 100644
--- a/backend/api/urls.py
+++ b/backend/api/urls.py
@@ -1,7 +1,5 @@
 from django.urls import include, path
 from rest_framework import routers
-from rest_framework.authtoken.views import obtain_auth_token
-from drf_spectacular.views import SpectacularAPIView, SpectacularRedocView
 
 from . import views
 
diff --git a/backend/api/views.py b/backend/api/views.py
index d75ad01..9ff27e5 100644
--- a/backend/api/views.py
+++ b/backend/api/views.py
@@ -11,7 +11,6 @@
 from drf_spectacular.views import SpectacularRedocView
 from django.views.decorators.clickjacking import xframe_options_exempt
 from django.utils.decorators import method_decorator
-from realtime_engine.tasks import run_lifecycle_event
 from runs.services.exceptions import RunLifecycleError
 from runs.services.lifecycle import RunLifecycleService
 from runs.domain.lifecycle import RunLifecycleEvents
diff --git a/backend/operations/tests.py b/backend/operations/tests.py
index 7ce503c..a39b155 100644
--- a/backend/operations/tests.py
+++ b/backend/operations/tests.py
@@ -1,3 +1 @@
-from django.test import TestCase
-
 # Create your tests here.
diff --git a/backend/operations/views.py b/backend/operations/views.py
index 91ea44a..60f00ef 100644
--- a/backend/operations/views.py
+++ b/backend/operations/views.py
@@ -1,3 +1 @@
-from django.shortcuts import render
-
 # Create your views here.
diff --git a/backend/realtime_engine/admin.py b/backend/realtime_engine/admin.py
index 8c38f3f..846f6b4 100644
--- a/backend/realtime_engine/admin.py
+++ b/backend/realtime_engine/admin.py
@@ -1,3 +1 @@
-from django.contrib import admin
-
 # Register your models here.
diff --git a/backend/realtime_engine/models.py b/backend/realtime_engine/models.py
index 71a8362..6b20219 100644
--- a/backend/realtime_engine/models.py
+++ b/backend/realtime_engine/models.py
@@ -1,3 +1 @@
-from django.db import models
-
 # Create your models here.
diff --git a/backend/realtime_engine/tests/test_mqtt_ingestion.py b/backend/realtime_engine/tests/test_mqtt_ingestion.py
index 3d12347..afc69ae 100644
--- a/backend/realtime_engine/tests/test_mqtt_ingestion.py
+++ b/backend/realtime_engine/tests/test_mqtt_ingestion.py
@@ -27,7 +27,7 @@
 
 import realtime_engine.mqtt as mqtt_module
 from realtime_engine.mqtt import _handle_telemetry
-from runs.domain.telemetry import keys, occupancy, position
+from runs.domain.telemetry import keys, occupancy
 
 
 # ---------------------------------------------------------------------------
diff --git a/backend/realtime_engine/views.py b/backend/realtime_engine/views.py
index 91ea44a..60f00ef 100644
--- a/backend/realtime_engine/views.py
+++ b/backend/realtime_engine/views.py
@@ -1,3 +1 @@
-from django.shortcuts import render
-
 # Create your views here.
diff --git a/backend/runs/domain/lifecycle/guards.py b/backend/runs/domain/lifecycle/guards.py
index 0adcc22..68e6dfc 100644
--- a/backend/runs/domain/lifecycle/guards.py
+++ b/backend/runs/domain/lifecycle/guards.py
@@ -32,7 +32,7 @@ class RunLifecycleGuards:
     def is_gtfs_valid(
         run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> bool:
-        from feed.models import Feed, Route, Trip, Shape
+        from feed.models import Feed, Route, Trip
 
         route_id = payload.get("route_id")
         trip_id = payload.get("trip_id")
diff --git a/backend/runs/domain/progression/shapes.py b/backend/runs/domain/progression/shapes.py
index e5a692d..f4a08cf 100644
--- a/backend/runs/domain/progression/shapes.py
+++ b/backend/runs/domain/progression/shapes.py
@@ -24,7 +24,7 @@
 
 from runs.domain.progression.geo import (
     haversine_m,
-    project_point_to_polyline,
+    project_point_to_polyline,  # noqa: F401 - used as shapes.project_point_to_polyline in compute.py
     project_point_to_segment,
 )
 
diff --git a/backend/runs/domain/progression/stop_times.py b/backend/runs/domain/progression/stop_times.py
index 335d974..421225a 100644
--- a/backend/runs/domain/progression/stop_times.py
+++ b/backend/runs/domain/progression/stop_times.py
@@ -27,7 +27,7 @@
 
 import redis
 
-from runs.domain.telemetry import keys, position, stop_time_updates, vehicle_stop_status
+from runs.domain.telemetry import keys, stop_time_updates, vehicle_stop_status
 from runs.domain.progression.geo import project_point_to_polyline
 from runs.domain.progression.shapes import ShapeGeometry, get_shape_geometry
 
diff --git a/backend/runs/domain/progression/tests/test_compute.py b/backend/runs/domain/progression/tests/test_compute.py
index c4d322a..804c05e 100644
--- a/backend/runs/domain/progression/tests/test_compute.py
+++ b/backend/runs/domain/progression/tests/test_compute.py
@@ -247,8 +247,6 @@ def test_far_from_stop_is_in_transit_to(self):
 
     def test_incoming_at_when_within_incoming_radius(self):
         """Place vehicle just under INCOMING_AT_RADIUS_M before S1."""
-        from runs.domain.progression.geo import haversine_m as hav
-
         # Find lat just inside INCOMING_AT_RADIUS_M of S1 (2.0, 0.0).
         # 1° ≈ 111 195 m.  INCOMING_AT_RADIUS_M = 50 m → Δlat ≈ 50/111195.
         delta_lat = (INCOMING_AT_RADIUS_M - 5) / 111_195.0  # a little inside
diff --git a/backend/runs/domain/progression/tests/test_producer.py b/backend/runs/domain/progression/tests/test_producer.py
index 77591f6..b1c5c1f 100644
--- a/backend/runs/domain/progression/tests/test_producer.py
+++ b/backend/runs/domain/progression/tests/test_producer.py
@@ -6,9 +6,7 @@
 Patch target: ``runs.domain.progression.producer.r``
 """
 
-from unittest.mock import MagicMock, call
-
-import pytest
+from unittest.mock import MagicMock
 
 import runs.domain.progression.producer as producer_module
 from runs.domain.progression.producer import produce_stop_status
diff --git a/backend/runs/domain/progression/tests/test_stop_times_producer.py b/backend/runs/domain/progression/tests/test_stop_times_producer.py
index 76a7ab0..187f96c 100644
--- a/backend/runs/domain/progression/tests/test_stop_times_producer.py
+++ b/backend/runs/domain/progression/tests/test_stop_times_producer.py
@@ -8,7 +8,6 @@
 - Builder hardening: unsorted/duplicate projection is sorted+deduped
 """
 
-import json
 import os
 import subprocess
 import sys
@@ -21,7 +20,6 @@
 import runs.domain.progression.stop_times as stop_times_module
 from runs.domain.progression.shapes import ShapeGeometry, assemble_geometry
 from runs.domain.progression.stop_times import (
-    ETA_DEFAULT_UNCERTAINTY_S,
     STOP_TIME_UPDATES_TTL_S,
     compute_stop_time_updates,
     produce_stop_times,
diff --git a/backend/runs/tests.py b/backend/runs/tests.py
index 7ce503c..a39b155 100644
--- a/backend/runs/tests.py
+++ b/backend/runs/tests.py
@@ -1,3 +1 @@
-from django.test import TestCase
-
 # Create your tests here.
diff --git a/backend/runs/views.py b/backend/runs/views.py
index 91ea44a..60f00ef 100644
--- a/backend/runs/views.py
+++ b/backend/runs/views.py
@@ -1,3 +1 @@
-from django.shortcuts import render
-
 # Create your views here.
diff --git a/backend/schedule_engine/admin.py b/backend/schedule_engine/admin.py
index 8c38f3f..846f6b4 100644
--- a/backend/schedule_engine/admin.py
+++ b/backend/schedule_engine/admin.py
@@ -1,3 +1 @@
-from django.contrib import admin
-
 # Register your models here.
diff --git a/backend/schedule_engine/models.py b/backend/schedule_engine/models.py
index 71a8362..6b20219 100644
--- a/backend/schedule_engine/models.py
+++ b/backend/schedule_engine/models.py
@@ -1,3 +1 @@
-from django.db import models
-
 # Create your models here.
diff --git a/backend/schedule_engine/tasks.py b/backend/schedule_engine/tasks.py
index 17cbdfd..2bc3a83 100644
--- a/backend/schedule_engine/tasks.py
+++ b/backend/schedule_engine/tasks.py
@@ -12,8 +12,6 @@
 from .builders import (
     build_vehicle_positions_feed,
     build_trip_updates_feed,
-    get_current_timestamp,
-    get_entity_id,
 )
 
 
diff --git a/backend/schedule_engine/tests.py b/backend/schedule_engine/tests.py
index 7ce503c..a39b155 100644
--- a/backend/schedule_engine/tests.py
+++ b/backend/schedule_engine/tests.py
@@ -1,3 +1 @@
-from django.test import TestCase
-
 # Create your tests here.
diff --git a/backend/website/admin.py b/backend/website/admin.py
index 8c38f3f..846f6b4 100644
--- a/backend/website/admin.py
+++ b/backend/website/admin.py
@@ -1,3 +1 @@
-from django.contrib import admin
-
 # Register your models here.
diff --git a/backend/website/models.py b/backend/website/models.py
index 71a8362..6b20219 100644
--- a/backend/website/models.py
+++ b/backend/website/models.py
@@ -1,3 +1 @@
-from django.db import models
-
 # Create your models here.
diff --git a/backend/website/tests.py b/backend/website/tests.py
index 7ce503c..a39b155 100644
--- a/backend/website/tests.py
+++ b/backend/website/tests.py
@@ -1,3 +1 @@
-from django.test import TestCase
-
 # Create your tests here.

From 9ccaef8c11826646436668a32a738b3b0b5fd2ef Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Tue, 18 Aug 2026 23:26:04 -0600
Subject: [PATCH 24/68] chore: gitignore published feed output artifacts

---
 .gitignore | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/.gitignore b/.gitignore
index ab84167..69df8a4 100644
--- a/.gitignore
+++ b/.gitignore
@@ -203,3 +203,6 @@ graphify-out/
 llms.txt
 llms-full.txt
 CONTEXT_SYNC_NOTES.md
+
+# Published GTFS-RT / Schedule output (runtime artifacts)
+backend/feed/files/

From e8427d80d0fd8ccac3dcbf3106c6bfc4318e80a7 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Tue, 18 Aug 2026 23:42:07 -0600
Subject: [PATCH 25/68] feat(messages): publish run lifecycle events to
 databus.events exchange

---
 backend/messages/publisher.py                 | 119 ++++++++--
 backend/messages/tests/__init__.py            |   0
 backend/messages/tests/test_publisher.py      | 211 ++++++++++++++++++
 backend/runs/services/lifecycle.py            |  24 +-
 backend/runs/services/tests/__init__.py       |   0
 backend/runs/services/tests/test_lifecycle.py | 124 ++++++++++
 6 files changed, 456 insertions(+), 22 deletions(-)
 create mode 100644 backend/messages/tests/__init__.py
 create mode 100644 backend/messages/tests/test_publisher.py
 create mode 100644 backend/runs/services/tests/__init__.py
 create mode 100644 backend/runs/services/tests/test_lifecycle.py

diff --git a/backend/messages/publisher.py b/backend/messages/publisher.py
index a69fe46..58f839e 100644
--- a/backend/messages/publisher.py
+++ b/backend/messages/publisher.py
@@ -1,24 +1,105 @@
-from kombu import Connection, Exchange, Producer
+"""Fire-and-forget AMQP publisher for run lifecycle domain events.
 
-connection = Connection("amqp://guest:guest@localhost/")
-exchange = Exchange("databus.events", type="direct")
-producer = Producer(connection, exchange=exchange)
+Publishes to the durable ``databus.events`` topic exchange, keyed by
+``runs.lifecycle.<event>``. The broker connection is built lazily on first
+use (never at import time) so importing this module never opens a socket,
+and it is safe to import from both the Daphne/ASGI process and Celery
+workers. Publishing is best-effort: any broker/connection error is caught,
+logged, and dropped -- it must never propagate into the caller's lifecycle
+path.
+"""
 
+import logging
+from datetime import UTC, datetime
+from typing import Any
 
-def publish_event(name: str, data: dict):
-    """Publish an event to the databus.events exchange."""
-    print(f"Printing event {name} with data: {data}")
+from kombu import Connection, Exchange
+from kombu.pools import producers
 
+logger = logging.getLogger(__name__)
 
-"""
-runs.submission.requested
-runs.submission.succeeded
-runs.submission.failed
-runs.validation.succeeded
-runs.validation.failed
-runs.initialization.succeeded
-runs.initialization.failed
-
-Client:
-runs.*
-"""
+EXCHANGE_NAME = "databus.events"
+ROUTING_KEY_PREFIX = "runs.lifecycle"
+PRODUCER_NAME = "databus"
+ENVELOPE_VERSION = 1
+
+#: Durable topic exchange all domain events are published to.
+events_exchange = Exchange(EXCHANGE_NAME, type="topic", durable=True)
+
+#: Small bounded retry policy handed to kombu's ``ensure()`` via ``Producer.publish(retry=True, ...)``.
+_RETRY_POLICY: dict[str, float] = {
+    "max_retries": 2,
+    "interval_start": 0,
+    "interval_step": 0.2,
+    "interval_max": 0.5,
+}
+
+# Process-wide broker connection, built lazily by `_get_connection`.
+_connection: Connection | None = None
+
+
+def routing_key_for(event: str) -> str:
+    """Derive the topic routing key `runs.lifecycle.<event>` for a lowercase lifecycle event name."""
+    return f"{ROUTING_KEY_PREFIX}.{event.lower()}"
+
+
+def build_envelope(
+    event: str,
+    run_id: Any,
+    from_state: str,
+    to_state: str,
+    data: dict[str, Any] | None = None,
+) -> dict[str, Any]:
+    """Build the JSON-serializable envelope for a run lifecycle domain event."""
+    return {
+        "event": event,
+        "version": ENVELOPE_VERSION,
+        "occurred_at": datetime.now(UTC).isoformat(),
+        "producer": PRODUCER_NAME,
+        "run_id": str(run_id),
+        "from_state": from_state,
+        "to_state": to_state,
+        "data": data or {},
+    }
+
+
+def _get_connection() -> Connection:
+    """Return the lazily-initialized, process-wide broker connection built from Django settings."""
+    global _connection
+    if _connection is None:
+        from django.conf import settings
+
+        _connection = Connection(settings.CELERY_BROKER_URL)
+    return _connection
+
+
+def publish_event(
+    event: str,
+    run_id: Any,
+    from_state: str,
+    to_state: str,
+    data: dict[str, Any] | None = None,
+) -> None:
+    """Publish a run lifecycle domain event; broker errors are logged and swallowed, never raised."""
+    envelope = build_envelope(event, run_id, from_state, to_state, data)
+    routing_key = routing_key_for(event)
+    try:
+        connection = _get_connection()
+        with producers[connection].acquire(block=True) as producer:
+            producer.publish(
+                envelope,
+                exchange=events_exchange,
+                routing_key=routing_key,
+                declare=[events_exchange],
+                serializer="json",
+                retry=True,
+                retry_policy=_RETRY_POLICY,
+            )
+    except Exception:
+        logger.warning(
+            "Failed to publish run lifecycle event %r for run %s (routing_key=%s)",
+            event,
+            run_id,
+            routing_key,
+            exc_info=True,
+        )
diff --git a/backend/messages/tests/__init__.py b/backend/messages/tests/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/backend/messages/tests/test_publisher.py b/backend/messages/tests/test_publisher.py
new file mode 100644
index 0000000..3cae081
--- /dev/null
+++ b/backend/messages/tests/test_publisher.py
@@ -0,0 +1,211 @@
+"""Unit tests for messages.publisher.
+
+No real broker: `kombu.pools.producers` is monkeypatched with an in-memory
+fake pool so `publish_event` never touches the network, and `_get_connection`
+is monkeypatched directly where the test only cares about the publish call
+(avoiding a dependency on real RabbitMQ settings). Errors raised anywhere in
+the publish path must be swallowed -- publishing must never propagate into
+the caller.
+"""
+
+import logging
+
+import pytest
+
+from messages import publisher
+
+
+# ---------------------------------------------------------------------------
+# routing_key_for
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.parametrize(
+    "event,expected",
+    [
+        ("run_confirmed_by_operator", "runs.lifecycle.run_confirmed_by_operator"),
+        ("run_completed", "runs.lifecycle.run_completed"),
+        ("RUN_STARTED", "runs.lifecycle.run_started"),
+    ],
+)
+def test_routing_key_for(event, expected):
+    assert publisher.routing_key_for(event) == expected
+
+
+# ---------------------------------------------------------------------------
+# build_envelope
+# ---------------------------------------------------------------------------
+
+
+def test_build_envelope_has_expected_shape():
+    envelope = publisher.build_envelope(
+        event="run_completed",
+        run_id="run-1",
+        from_state="IN_PROGRESS",
+        to_state="COMPLETED",
+        data={"trip_id": "T1"},
+    )
+
+    assert envelope["event"] == "run_completed"
+    assert envelope["version"] == 1
+    assert envelope["producer"] == "databus"
+    assert envelope["run_id"] == "run-1"
+    assert envelope["from_state"] == "IN_PROGRESS"
+    assert envelope["to_state"] == "COMPLETED"
+    assert envelope["data"] == {"trip_id": "T1"}
+    # occurred_at must be a parseable ISO-8601 UTC timestamp.
+    from datetime import datetime
+
+    parsed = datetime.fromisoformat(envelope["occurred_at"])
+    assert parsed.utcoffset() is not None
+
+
+def test_build_envelope_defaults_data_to_empty_dict():
+    envelope = publisher.build_envelope(
+        event="run_started", run_id="run-2", from_state="TRACKING", to_state="IN_PROGRESS"
+    )
+    assert envelope["data"] == {}
+
+
+def test_build_envelope_stringifies_run_id():
+    envelope = publisher.build_envelope(
+        event="run_started", run_id=12345, from_state="A", to_state="B"
+    )
+    assert envelope["run_id"] == "12345"
+
+
+# ---------------------------------------------------------------------------
+# publish_event -- happy path
+# ---------------------------------------------------------------------------
+
+
+class _FakeAcquireCtx:
+    """Context manager standing in for kombu's ProducerPool.acquire() result."""
+
+    def __init__(self, producer):
+        self._producer = producer
+
+    def __enter__(self):
+        return self._producer
+
+    def __exit__(self, *exc_info):
+        return False
+
+
+class _FakePool:
+    def __init__(self, producer):
+        self._producer = producer
+
+    def acquire(self, block=True):
+        return _FakeAcquireCtx(self._producer)
+
+
+class _FakeProducers:
+    """Stand-in for kombu.pools.producers: a dict keyed by connection."""
+
+    def __init__(self, producer):
+        self._producer = producer
+
+    def __getitem__(self, connection):
+        return _FakePool(self._producer)
+
+
+def test_publish_event_uses_correct_exchange_routing_key_and_body(monkeypatch):
+    from unittest.mock import MagicMock
+
+    fake_producer = MagicMock()
+    monkeypatch.setattr(publisher, "producers", _FakeProducers(fake_producer))
+    monkeypatch.setattr(publisher, "_get_connection", lambda: object())
+
+    publisher.publish_event(
+        event="run_confirmed_by_operator",
+        run_id="run-42",
+        from_state="INITIALIZED",
+        to_state="CONFIRMED",
+        data={"vehicle_id": "veh-1"},
+    )
+
+    fake_producer.publish.assert_called_once()
+    _, kwargs = fake_producer.publish.call_args
+    body = fake_producer.publish.call_args.args[0]
+
+    assert body["event"] == "run_confirmed_by_operator"
+    assert body["run_id"] == "run-42"
+    assert body["from_state"] == "INITIALIZED"
+    assert body["to_state"] == "CONFIRMED"
+    assert body["data"] == {"vehicle_id": "veh-1"}
+    assert kwargs["exchange"] is publisher.events_exchange
+    assert kwargs["routing_key"] == "runs.lifecycle.run_confirmed_by_operator"
+    assert kwargs["serializer"] == "json"
+    assert kwargs["retry"] is True
+
+
+def test_publish_event_declares_the_exchange(monkeypatch):
+    from unittest.mock import MagicMock
+
+    fake_producer = MagicMock()
+    monkeypatch.setattr(publisher, "producers", _FakeProducers(fake_producer))
+    monkeypatch.setattr(publisher, "_get_connection", lambda: object())
+
+    publisher.publish_event(
+        event="run_completed", run_id="run-1", from_state="IN_PROGRESS", to_state="COMPLETED"
+    )
+
+    _, kwargs = fake_producer.publish.call_args
+    assert kwargs["declare"] == [publisher.events_exchange]
+
+
+# ---------------------------------------------------------------------------
+# publish_event -- errors are swallowed, never propagated
+# ---------------------------------------------------------------------------
+
+
+def test_publish_event_swallows_connection_errors(monkeypatch, caplog):
+    def _boom():
+        raise ConnectionRefusedError("broker unreachable")
+
+    monkeypatch.setattr(publisher, "_get_connection", _boom)
+
+    with caplog.at_level(logging.WARNING):
+        # Must not raise.
+        publisher.publish_event(
+            event="run_completed", run_id="run-1", from_state="IN_PROGRESS", to_state="COMPLETED"
+        )
+
+    assert any("Failed to publish run lifecycle event" in msg for msg in caplog.messages)
+
+
+def test_publish_event_swallows_producer_publish_errors(monkeypatch, caplog):
+    from unittest.mock import MagicMock
+
+    fake_producer = MagicMock()
+    fake_producer.publish.side_effect = RuntimeError("channel closed")
+    monkeypatch.setattr(publisher, "producers", _FakeProducers(fake_producer))
+    monkeypatch.setattr(publisher, "_get_connection", lambda: object())
+
+    with caplog.at_level(logging.WARNING):
+        # Must not raise.
+        publisher.publish_event(
+            event="run_completed", run_id="run-1", from_state="IN_PROGRESS", to_state="COMPLETED"
+        )
+
+    assert any("Failed to publish run lifecycle event" in msg for msg in caplog.messages)
+
+
+# ---------------------------------------------------------------------------
+# _get_connection -- lazy, cached, built from Django settings
+# ---------------------------------------------------------------------------
+
+
+def test_get_connection_is_lazily_cached(monkeypatch, settings):
+    monkeypatch.setattr(publisher, "_connection", None)
+    settings.CELERY_BROKER_URL = "amqp://guest:guest@message-broker:5672//"
+
+    first = publisher._get_connection()
+    second = publisher._get_connection()
+
+    assert first is second
+    assert first.as_uri().startswith("amqp://")
+
+    # Cleanup so other tests build a fresh connection from their own settings.
+    monkeypatch.setattr(publisher, "_connection", None)
diff --git a/backend/runs/services/lifecycle.py b/backend/runs/services/lifecycle.py
index 97b9653..caf0e9a 100644
--- a/backend/runs/services/lifecycle.py
+++ b/backend/runs/services/lifecycle.py
@@ -1,5 +1,6 @@
 from typing import Any
 from django.utils.timezone import now
+from messages.publisher import publish_event
 from runs.domain.lifecycle import RunLifecycleEvents
 from runs.domain.lifecycle import RunLifecycleStates
 from runs.domain.lifecycle import Transition
@@ -81,7 +82,7 @@ def _apply_transition(
         except RunLifecycleError as exc:
             raise RunLifecycleError({"detail": str(exc)}) from exc
         self._update_run_lifecycle_state(run, transition, payload)
-        self._publish_run_lifecycle_transition(run, transition.to_state)
+        self._publish_run_lifecycle_transition(run, transition, payload)
         return transition.to_state, actions
 
     def _update_run_lifecycle_state(
@@ -92,9 +93,26 @@ def _update_run_lifecycle_state(
         run.save()
 
     def _publish_run_lifecycle_transition(
-        self, run: Run, new: RunLifecycleStates
+        self, run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> None:
-        pass
+        """Publish the completed transition as a run lifecycle domain event (fire-and-forget)."""
+        data: dict[str, Any] = {}
+        vehicle_id = payload.get("vehicle_id") or run.vehicle.values_list(
+            "id", flat=True
+        ).first()
+        if vehicle_id:
+            data["vehicle_id"] = str(vehicle_id)
+        if run.trip_id:
+            data["trip_id"] = run.trip_id
+        if run.route_id:
+            data["route_id"] = run.route_id
+        publish_event(
+            event=transition.event.value,
+            run_id=run.id,
+            from_state=transition.from_state.value,
+            to_state=transition.to_state.value,
+            data=data,
+        )
 
     def _persist_run_lifecycle_transition(
         self,
diff --git a/backend/runs/services/tests/__init__.py b/backend/runs/services/tests/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/backend/runs/services/tests/test_lifecycle.py b/backend/runs/services/tests/test_lifecycle.py
new file mode 100644
index 0000000..ec210f8
--- /dev/null
+++ b/backend/runs/services/tests/test_lifecycle.py
@@ -0,0 +1,124 @@
+"""Unit tests for RunLifecycleService._publish_run_lifecycle_transition.
+
+No database access: a bare `RunLifecycleService()` only builds a
+`TransitionRegistry` in `__init__`, and `_publish_run_lifecycle_transition`
+only reads attributes off `run`/`transition`/`payload` before delegating to
+`messages.publisher.publish_event`, which is monkeypatched here. Real
+`Transition`/`RunLifecycleEvents`/`RunLifecycleStates` domain objects are
+used (they carry no DB dependency); `run` is a lightweight fake standing in
+for a `Run` model instance.
+"""
+
+from unittest.mock import MagicMock
+
+from runs.domain.lifecycle import RunLifecycleEvents, RunLifecycleStates, Transition
+from runs.services.lifecycle import RunLifecycleService
+
+
+class _FakeVehicleManager:
+    """Stands in for Run.vehicle (a ManyToManyField manager)."""
+
+    def __init__(self, vehicle_ids):
+        self._vehicle_ids = list(vehicle_ids)
+
+    def values_list(self, *args, **kwargs):
+        return self
+
+    def first(self):
+        return self._vehicle_ids[0] if self._vehicle_ids else None
+
+
+class _FakeRun:
+    def __init__(self, run_id="run-1", trip_id=None, route_id=None, vehicle_ids=()):
+        self.id = run_id
+        self.trip_id = trip_id
+        self.route_id = route_id
+        self.vehicle = _FakeVehicleManager(vehicle_ids)
+
+
+def _transition(event=RunLifecycleEvents.RUN_CONFIRMED_BY_OPERATOR):
+    return Transition(
+        from_state=RunLifecycleStates.INITIALIZED,
+        event=event,
+        to_state=RunLifecycleStates.CONFIRMED,
+        guards=[],
+        actions=[],
+    )
+
+
+def _service() -> RunLifecycleService:
+    return RunLifecycleService()
+
+
+def test_publish_composes_event_and_states(monkeypatch):
+    mock_publish = MagicMock()
+    monkeypatch.setattr("runs.services.lifecycle.publish_event", mock_publish)
+
+    run = _FakeRun(run_id="run-1")
+    transition = _transition()
+
+    _service()._publish_run_lifecycle_transition(run, transition, {})
+
+    mock_publish.assert_called_once_with(
+        event="run_confirmed_by_operator",
+        run_id="run-1",
+        from_state=RunLifecycleStates.INITIALIZED.value,
+        to_state=RunLifecycleStates.CONFIRMED.value,
+        data={},
+    )
+
+
+def test_publish_includes_trip_and_route_ids_when_present(monkeypatch):
+    mock_publish = MagicMock()
+    monkeypatch.setattr("runs.services.lifecycle.publish_event", mock_publish)
+
+    run = _FakeRun(run_id="run-1", trip_id="T1", route_id="R1")
+    transition = _transition()
+
+    _service()._publish_run_lifecycle_transition(run, transition, {})
+
+    _, kwargs = mock_publish.call_args
+    assert kwargs["data"] == {"trip_id": "T1", "route_id": "R1"}
+
+
+def test_publish_falls_back_to_run_vehicle_when_payload_has_no_vehicle_id(monkeypatch):
+    mock_publish = MagicMock()
+    monkeypatch.setattr("runs.services.lifecycle.publish_event", mock_publish)
+
+    run = _FakeRun(run_id="run-1", vehicle_ids=["veh-9"])
+    transition = _transition()
+
+    _service()._publish_run_lifecycle_transition(run, transition, {})
+
+    _, kwargs = mock_publish.call_args
+    assert kwargs["data"]["vehicle_id"] == "veh-9"
+
+
+def test_publish_prefers_payload_vehicle_id_over_run_vehicle(monkeypatch):
+    mock_publish = MagicMock()
+    monkeypatch.setattr("runs.services.lifecycle.publish_event", mock_publish)
+
+    run = _FakeRun(run_id="run-1", vehicle_ids=["veh-9"])
+    transition = _transition()
+
+    _service()._publish_run_lifecycle_transition(
+        run, transition, {"vehicle_id": "veh-override"}
+    )
+
+    _, kwargs = mock_publish.call_args
+    assert kwargs["data"]["vehicle_id"] == "veh-override"
+
+
+def test_publish_omits_absent_fields(monkeypatch):
+    mock_publish = MagicMock()
+    monkeypatch.setattr("runs.services.lifecycle.publish_event", mock_publish)
+
+    run = _FakeRun(run_id="run-1")
+    transition = _transition()
+
+    _service()._publish_run_lifecycle_transition(run, transition, {})
+
+    _, kwargs = mock_publish.call_args
+    assert "vehicle_id" not in kwargs["data"]
+    assert "trip_id" not in kwargs["data"]
+    assert "route_id" not in kwargs["data"]

From 21f913a395a64de1a18425cc30b5e62f96c4f626 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 00:22:08 -0600
Subject: [PATCH 26/68] build(eta): depend on sibling gtfs-eta repo instead of
 vendored copy

Replace the vendored backend/gtfs-eta/ uv workspace member with a path
dependency on the sibling simovilab/gtfs-eta checkout, which now ships
the gtfs_eta alias namespace, estimate_stop_times(shape=), and the
seed_baseline_model entry point that runs/domain/progression/stop_times.py
already lazy-imports.

uv's path-source normalization rejects a literal "../../gtfs-eta" once
resolved inside the container (/app sits one level below the container's
filesystem root), so the same relative path can't work identically on
host and in-container. Instead backend/gtfs-eta is a committed symlink
to ../../gtfs-eta: uv only normalizes the bare "gtfs-eta" segment, and
the OS resolves the symlink's own ".." traversal, clamping at root
instead of erroring. compose.dev.yml bind-mounts ../gtfs-eta:/gtfs-eta
(read-write, since uv's setuptools editable build touches
gtfs_eta.egg-info/ in the source tree) into the four backend-based
services so the mount target matches what the symlink resolves to.
uv sync runs at container start (docker-entrypoint.sh), after that
mount exists, so no build-context change was needed.

Also: add xgboost as a direct databus dependency (models/__init__.py in
gtfs-eta unconditionally imports it), and exclude the gtfs-eta symlink
from ruff/pytest collection since it now points at gtfs-eta's own full
codebase and test suite rather than a trimmed vendored subset.
---
 backend/gtfs-eta                              |   1 +
 backend/gtfs-eta/README.md                    |  34 --
 backend/gtfs-eta/gtfs_eta/__init__.py         |   2 -
 backend/gtfs-eta/gtfs_eta/core/__init__.py    |   1 -
 backend/gtfs-eta/gtfs_eta/core/config.py      |  28 -
 backend/gtfs-eta/gtfs_eta/core/exceptions.py  |  13 -
 backend/gtfs-eta/gtfs_eta/core/logging.py     |  15 -
 backend/gtfs-eta/gtfs_eta/core/validation.py  |  15 -
 .../gtfs-eta/gtfs_eta/eta_service/__init__.py |   1 -
 .../gtfs_eta/eta_service/estimator.py         | 495 ------------------
 .../gtfs_eta/feature_engineering/__init__.py  |   1 -
 .../gtfs_eta/feature_engineering/spatial.py   | 250 ---------
 .../gtfs_eta/feature_engineering/temporal.py  |  98 ----
 backend/gtfs-eta/gtfs_eta/models/__init__.py  |   1 -
 .../gtfs_eta/models/common/__init__.py        |   1 -
 .../gtfs_eta/models/common/registry.py        | 316 -----------
 .../gtfs-eta/gtfs_eta/models/common/utils.py  | 126 -----
 .../models/polyreg_distance/__init__.py       |   1 -
 .../gtfs_eta/models/polyreg_distance/model.py | 150 ------
 .../models/polyreg_distance/predict.py        |  60 ---
 .../gtfs-eta/gtfs_eta/seed_baseline_model.py  |  94 ----
 backend/gtfs-eta/pyproject.toml               |  22 -
 backend/pyproject.toml                        |  43 +-
 backend/uv.lock                               |  61 ++-
 compose.dev.yml                               |  10 +
 25 files changed, 89 insertions(+), 1750 deletions(-)
 create mode 120000 backend/gtfs-eta
 delete mode 100644 backend/gtfs-eta/README.md
 delete mode 100644 backend/gtfs-eta/gtfs_eta/__init__.py
 delete mode 100644 backend/gtfs-eta/gtfs_eta/core/__init__.py
 delete mode 100644 backend/gtfs-eta/gtfs_eta/core/config.py
 delete mode 100644 backend/gtfs-eta/gtfs_eta/core/exceptions.py
 delete mode 100644 backend/gtfs-eta/gtfs_eta/core/logging.py
 delete mode 100644 backend/gtfs-eta/gtfs_eta/core/validation.py
 delete mode 100644 backend/gtfs-eta/gtfs_eta/eta_service/__init__.py
 delete mode 100644 backend/gtfs-eta/gtfs_eta/eta_service/estimator.py
 delete mode 100644 backend/gtfs-eta/gtfs_eta/feature_engineering/__init__.py
 delete mode 100644 backend/gtfs-eta/gtfs_eta/feature_engineering/spatial.py
 delete mode 100644 backend/gtfs-eta/gtfs_eta/feature_engineering/temporal.py
 delete mode 100644 backend/gtfs-eta/gtfs_eta/models/__init__.py
 delete mode 100644 backend/gtfs-eta/gtfs_eta/models/common/__init__.py
 delete mode 100644 backend/gtfs-eta/gtfs_eta/models/common/registry.py
 delete mode 100644 backend/gtfs-eta/gtfs_eta/models/common/utils.py
 delete mode 100644 backend/gtfs-eta/gtfs_eta/models/polyreg_distance/__init__.py
 delete mode 100644 backend/gtfs-eta/gtfs_eta/models/polyreg_distance/model.py
 delete mode 100644 backend/gtfs-eta/gtfs_eta/models/polyreg_distance/predict.py
 delete mode 100644 backend/gtfs-eta/gtfs_eta/seed_baseline_model.py
 delete mode 100644 backend/gtfs-eta/pyproject.toml

diff --git a/backend/gtfs-eta b/backend/gtfs-eta
new file mode 120000
index 0000000..c6e8846
--- /dev/null
+++ b/backend/gtfs-eta
@@ -0,0 +1 @@
+../../gtfs-eta
\ No newline at end of file
diff --git a/backend/gtfs-eta/README.md b/backend/gtfs-eta/README.md
deleted file mode 100644
index 1e9fb55..0000000
--- a/backend/gtfs-eta/README.md
+++ /dev/null
@@ -1,34 +0,0 @@
-# gtfs_eta
-
-Inference-only ETA library: given a vehicle position and the upcoming stops on
-its trip, predict arrival times from trained models stored in a model registry.
-
-This is the **consumption half** of the ETA model lifecycle. It is consumed by
-databus (`runs/domain/progression/stop_times.py`) to populate the
-`run:<id>:stop_time_updates` projection that backs the GTFS-RT trip-updates feed.
-
-## Provenance & intent
-
-- **Vendored, not original.** The canonical source — including model training —
-  lives in `gtfs-django` (`feature/eta_prediction`). This package is the slimmed
-  inference half: estimator, feature engineering, and the model registry loader,
-  with heavy training/serving deps dropped (`xgboost` is an optional extra).
-- **Candidate for extraction.** It is namespaced (`gtfs_eta.*`) and databus
-  depends on it through a single narrow seam (a lazy import in `stop_times.py`
-  plus the workspace dependency). If a second consumer appears, or it needs an
-  independent release cadence, it should move to its own package/repo — pulled
-  the same way `gtfs-io` and `gtfs-django` are — and the move stays mechanical.
-  Keep the databus → `gtfs_eta` seam narrow to preserve that.
-
-## Model registry
-
-Models are loaded from `MODEL_REGISTRY_DIR` (a `registry.json` index plus per-model
-`*.pkl` / `*_meta.json`). Paths are resolved **relative to the registry directory**,
-so the registry is relocatable: bind-mount it anywhere, check a placeholder into
-version control, or have an external retraining suite write into it.
-
-A deterministic placeholder global baseline can be (re)generated with:
-
-```bash
-MODEL_REGISTRY_DIR=eta_models python -m gtfs_eta.seed_baseline_model
-```
diff --git a/backend/gtfs-eta/gtfs_eta/__init__.py b/backend/gtfs-eta/gtfs_eta/__init__.py
deleted file mode 100644
index acebcb0..0000000
--- a/backend/gtfs-eta/gtfs_eta/__init__.py
+++ /dev/null
@@ -1,2 +0,0 @@
-"""gtfs_eta — namespaced ETA-prediction package for the SIMOVI databus."""
-__version__ = "0.1.0"
diff --git a/backend/gtfs-eta/gtfs_eta/core/__init__.py b/backend/gtfs-eta/gtfs_eta/core/__init__.py
deleted file mode 100644
index 3b5cf9a..0000000
--- a/backend/gtfs-eta/gtfs_eta/core/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-# gtfs_eta.core
diff --git a/backend/gtfs-eta/gtfs_eta/core/config.py b/backend/gtfs-eta/gtfs_eta/core/config.py
deleted file mode 100644
index 4f0b1c4..0000000
--- a/backend/gtfs-eta/gtfs_eta/core/config.py
+++ /dev/null
@@ -1,28 +0,0 @@
-"""
-Runtime configuration for gtfs_eta.
-
-The registry dir is NOT derived from __file__ — it comes solely from the
-MODEL_REGISTRY_DIR environment variable (or the registry's own discovery
-logic).  This module only exposes the defaults that are safe to use at
-import time without side effects.
-"""
-
-# Default timezone and region for Costa Rica operations
-DEFAULT_TIMEZONE: str = "America/Costa_Rica"
-DEFAULT_REGION: str = "CR"
-
-# Weather defaults (used when no live weather feed is available)
-DEFAULT_TEMPERATURE_C: float = 25.0
-DEFAULT_PRECIPITATION_MM: float = 0.0
-DEFAULT_WIND_SPEED_KMH: float | None = None
-
-
-def get_config() -> dict:
-    """Return the active configuration as a plain dict."""
-    return {
-        "default_timezone": DEFAULT_TIMEZONE,
-        "default_region": DEFAULT_REGION,
-        "default_temperature_c": DEFAULT_TEMPERATURE_C,
-        "default_precipitation_mm": DEFAULT_PRECIPITATION_MM,
-        "default_wind_speed_kmh": DEFAULT_WIND_SPEED_KMH,
-    }
diff --git a/backend/gtfs-eta/gtfs_eta/core/exceptions.py b/backend/gtfs-eta/gtfs_eta/core/exceptions.py
deleted file mode 100644
index 6abb7cb..0000000
--- a/backend/gtfs-eta/gtfs_eta/core/exceptions.py
+++ /dev/null
@@ -1,13 +0,0 @@
-"""Custom exceptions for gtfs_eta."""
-
-
-class GTFSEtaError(Exception):
-    """Base error for the gtfs_eta package."""
-
-
-class ModelNotFoundError(GTFSEtaError):
-    """Raised when a requested model is not in the registry."""
-
-
-class PredictionError(GTFSEtaError):
-    """Raised when a model prediction fails."""
diff --git a/backend/gtfs-eta/gtfs_eta/core/logging.py b/backend/gtfs-eta/gtfs_eta/core/logging.py
deleted file mode 100644
index 302283a..0000000
--- a/backend/gtfs-eta/gtfs_eta/core/logging.py
+++ /dev/null
@@ -1,15 +0,0 @@
-"""Logging helpers for gtfs_eta."""
-import logging
-
-
-def get_logger(name: str, level: str = "INFO") -> logging.Logger:
-    """Return a named logger with a consistent format."""
-    logger = logging.getLogger(name)
-    if not logger.handlers:
-        handler = logging.StreamHandler()
-        handler.setFormatter(
-            logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
-        )
-        logger.addHandler(handler)
-    logger.setLevel(getattr(logging, level.upper(), logging.INFO))
-    return logger
diff --git a/backend/gtfs-eta/gtfs_eta/core/validation.py b/backend/gtfs-eta/gtfs_eta/core/validation.py
deleted file mode 100644
index 8680ea6..0000000
--- a/backend/gtfs-eta/gtfs_eta/core/validation.py
+++ /dev/null
@@ -1,15 +0,0 @@
-"""Input validation helpers for gtfs_eta."""
-from typing import Any
-
-
-def require_keys(d: dict, keys: list[str], context: str = "") -> None:
-    """Raise ValueError if any key is missing from d."""
-    missing = [k for k in keys if k not in d]
-    if missing:
-        raise ValueError(f"Missing required keys {missing} in {context or 'input'}")
-
-
-def require_positive(value: Any, name: str) -> None:
-    """Raise ValueError if value is not a positive number."""
-    if value is None or float(value) <= 0:
-        raise ValueError(f"{name} must be a positive number, got {value!r}")
diff --git a/backend/gtfs-eta/gtfs_eta/eta_service/__init__.py b/backend/gtfs-eta/gtfs_eta/eta_service/__init__.py
deleted file mode 100644
index 9177055..0000000
--- a/backend/gtfs-eta/gtfs_eta/eta_service/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-# gtfs_eta.eta_service
diff --git a/backend/gtfs-eta/gtfs_eta/eta_service/estimator.py b/backend/gtfs-eta/gtfs_eta/eta_service/estimator.py
deleted file mode 100644
index dd4505b..0000000
--- a/backend/gtfs-eta/gtfs_eta/eta_service/estimator.py
+++ /dev/null
@@ -1,495 +0,0 @@
-"""
-ETA Service — low-latency inference with direct shape support.
-
-Ported from eta_prediction/eta_service/estimator.py on branch
-feature/eta_prediction with the following changes:
-  - All sys.path hacks removed.
-  - All imports rewritten to absolute gtfs_eta.* paths.
-  - Module-level print() diagnostics removed (replaced with logging.debug).
-  - os.environ mutation at import time removed.
-  - Lazy imports inside _predict_with_model rewritten to gtfs_eta.* paths so
-    all branches are consistent (only polyreg_distance is exercised by the
-    baseline model, but the other branches compile cleanly).
-  - ADDED: precomputed-distance hook — if an upcoming_stop dict carries a
-    non-None 'shape_distance_to_stop' key, that value is used as the
-    authoritative distance, bypassing both shape projection and haversine
-    fallback for that stop (databus pre-computes a loop-back-safe monotonic
-    distance and we prefer it).
-"""
-
-import logging
-import math
-from datetime import datetime, timezone
-from typing import Optional
-
-from gtfs_eta.feature_engineering.temporal import extract_temporal_features
-from gtfs_eta.models.common.registry import get_registry
-
-_log = logging.getLogger(__name__)
-
-# ---------------------------------------------------------------------------
-# Optional shape support
-# ---------------------------------------------------------------------------
-try:
-    from gtfs_eta.feature_engineering.spatial import (
-        ShapePolyline,
-        calculate_distance_features_with_shape,
-    )
-    SHAPE_SUPPORT = True
-except ImportError:
-    SHAPE_SUPPORT = False
-    _log.debug("Shape-aware spatial features not available; using fallback")
-
-
-# ---------------------------------------------------------------------------
-# Helpers
-# ---------------------------------------------------------------------------
-
-def haversine_distance(lat1: float, lon1: float, lat2: float, lon2: float) -> float:
-    """Calculate distance between two lat/lon points in metres."""
-    R = 6_371_000
-    phi1, phi2 = math.radians(lat1), math.radians(lat2)
-    dphi = math.radians(lat2 - lat1)
-    dlambda = math.radians(lon2 - lon1)
-    a = math.sin(dphi / 2) ** 2 + math.cos(phi1) * math.cos(phi2) * math.sin(dlambda / 2) ** 2
-    c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
-    return R * c
-
-
-def _progress_features_fallback(vehicle_position, stop, next_stop, total_segments_hint):
-    """
-    Approximate distance / progress metrics without shape data.
-    Used when no ShapePolyline is available for the current trip.
-    """
-    vp_lat = vehicle_position["lat"]
-    vp_lon = vehicle_position["lon"]
-    stop_lat = stop["lat"]
-    stop_lon = stop["lon"]
-
-    distance_to_stop = haversine_distance(vp_lat, vp_lon, stop_lat, stop_lon)
-
-    progress_on_segment = 0.0
-    if next_stop:
-        next_lat = next_stop["lat"]
-        next_lon = next_stop["lon"]
-        segment_length = haversine_distance(stop_lat, stop_lon, next_lat, next_lon)
-        if segment_length > 0:
-            distance_to_next = haversine_distance(vp_lat, vp_lon, next_lat, next_lon)
-            progress_on_segment = max(0.0, min(1.0, 1.0 - (distance_to_next / segment_length)))
-
-    stop_seq = (
-        stop.get("stop_sequence")
-        or stop.get("sequence")
-        or stop.get("stop_order")
-        or 1
-    )
-    total_segments = (
-        stop.get("total_stop_sequence")
-        or total_segments_hint
-        or stop_seq
-    )
-    completed = max(float(stop_seq) - 1.0, 0.0)
-    denom = max(float(total_segments), 1.0)
-    progress_ratio = max(0.0, min(1.0, (completed + progress_on_segment) / denom))
-
-    return {
-        "distance_to_stop_m": distance_to_stop,
-        "progress_on_segment": progress_on_segment,
-        "progress_ratio": progress_ratio,
-        "cross_track_error": None,
-        "shape_progress": None,
-        "shape_distance_to_stop": None,
-    }
-
-
-def _progress_features_with_shape(
-    vehicle_position, stop, next_stop, shape, vehicle_stop_order, total_segments
-):
-    """
-    Shape-aware distance / progress metrics using a pre-loaded ShapePolyline.
-    Returns enhanced spatial features including cross-track error and
-    shape-based distances.
-    """
-    features = calculate_distance_features_with_shape(
-        vehicle_position=vehicle_position,
-        stop=stop,
-        next_stop=next_stop,
-        shape=shape,
-        vehicle_stop_order=vehicle_stop_order,
-        total_segments=total_segments,
-    )
-    return {
-        "distance_to_stop_m": features.get("distance_to_stop", 0.0),
-        "progress_on_segment": features.get("progress_on_segment", 0.0),
-        "progress_ratio": features.get("progress_ratio", 0.0),
-        "cross_track_error": features.get("cross_track_error"),
-        "shape_progress": features.get("shape_progress"),
-        "shape_distance_to_stop": features.get("shape_distance_to_stop"),
-    }
-
-
-def _predict_with_model(model_key, model_type, features, distance_m):
-    """
-    Dispatch to the appropriate predict_eta function based on model_type.
-    All lazy imports use absolute gtfs_eta.* paths.
-    """
-    if model_type == "historical_mean":
-        from gtfs_eta.models.historical_mean.predict import predict_eta
-        return predict_eta(
-            model_key=model_key,
-            route_id=features.get("route_id", "unknown"),
-            stop_sequence=features.get("stop_sequence", 0),
-            hour=features.get("hour", 0),
-            day_of_week=features.get("day_of_week", 0),
-            is_peak_hour=features.get("is_peak_hour", False),
-        )
-
-    elif model_type == "ewma":
-        from gtfs_eta.models.ewma.predict import predict_eta
-        return predict_eta(
-            model_key=model_key,
-            route_id=features.get("route_id", "unknown"),
-            stop_sequence=features.get("stop_sequence", 0),
-            hour=features.get("hour", 0),
-        )
-
-    elif model_type == "polyreg_distance":
-        from gtfs_eta.models.polyreg_distance.predict import predict_eta
-        return predict_eta(
-            model_key=model_key,
-            distance_to_stop=distance_m,
-        )
-
-    elif model_type == "polyreg_time":
-        from gtfs_eta.models.polyreg_time.predict import predict_eta
-        return predict_eta(
-            model_key=model_key,
-            distance_to_stop=distance_m,
-            progress_on_segment=features.get("progress_on_segment"),
-            progress_ratio=features.get("progress_ratio"),
-            hour=features.get("hour", 0),
-            day_of_week=features.get("day_of_week", 0),
-            is_peak_hour=features.get("is_peak_hour", False),
-            is_weekend=features.get("is_weekend", False),
-            is_holiday=features.get("is_holiday", False),
-            temperature_c=features.get("temperature_c", 25.0),
-            precipitation_mm=features.get("precipitation_mm", 0.0),
-            wind_speed_kmh=features.get("wind_speed_kmh"),
-        )
-
-    elif model_type == "xgboost":
-        from gtfs_eta.models.xgb.predict import predict_eta
-        return predict_eta(
-            model_key=model_key,
-            distance_to_stop=distance_m,
-            progress_on_segment=features.get("progress_on_segment"),
-            progress_ratio=features.get("progress_ratio"),
-            hour=features.get("hour", 0),
-            day_of_week=features.get("day_of_week", 0),
-            is_peak_hour=features.get("is_peak_hour", False),
-            is_weekend=features.get("is_weekend", False),
-            is_holiday=features.get("is_holiday", False),
-            temperature_c=features.get("temperature_c", 25.0),
-            precipitation_mm=features.get("precipitation_mm", 0.0),
-            wind_speed_kmh=features.get("wind_speed_kmh", None),
-        )
-
-    else:
-        raise ValueError(f"Unknown model type: {model_type!r}")
-
-
-# ---------------------------------------------------------------------------
-# Public API
-# ---------------------------------------------------------------------------
-
-def estimate_stop_times(
-    vehicle_position: dict,
-    upcoming_stops: list[dict],
-    route_id: str = None,
-    trip_id: str = None,
-    model_key: str = None,
-    model_type: str = None,
-    prefer_route_model: bool = True,
-    max_stops: int = 3,
-    shape: object = None,
-) -> dict:
-    """
-    Estimate arrival times for upcoming stops based on vehicle position.
-
-    LOW-LATENCY DESIGN: No database calls during inference.
-    All data (stops, shapes) must be pre-loaded and passed as arguments.
-
-    Args:
-        vehicle_position: Dict with vehicle_id, route, lat, lon, speed, timestamp.
-        upcoming_stops: List of stop dicts.  Each dict may include:
-            - stop_id, stop_sequence, lat, lon  (always required)
-            - shape_distance_to_stop (float, metres)  — OPTIONAL.
-              When present and non-None, databus has pre-computed a
-              loop-back-safe monotonic distance along the shape; that value
-              is used directly as distance_m for the model, bypassing both
-              ShapePolyline projection and haversine fallback for that stop.
-        route_id: Optional route override.
-        trip_id: Optional trip ID for metadata.
-        model_key: Optional explicit model to use.
-        model_type: Optional model type filter.
-        prefer_route_model: If True, prefer route-specific models over global.
-        max_stops: Maximum number of stops to predict.
-        shape: Optional pre-loaded ShapePolyline object.
-
-    Returns:
-        Dict with predictions, model info, and metadata.
-    """
-    # Validate inputs
-    if not vehicle_position or not upcoming_stops:
-        return {
-            "vehicle_id": vehicle_position.get("vehicle_id", "unknown") if vehicle_position else "unknown",
-            "route_id": route_id,
-            "trip_id": trip_id,
-            "computed_at": datetime.now(timezone.utc).isoformat(),
-            "model_key": None,
-            "predictions": [],
-            "error": "Missing vehicle position or stops",
-        }
-
-    stops_to_predict = upcoming_stops[:max_stops]
-
-    # Parse timestamp
-    vp_timestamp_str = vehicle_position["timestamp"]
-    if vp_timestamp_str.endswith("Z"):
-        vp_timestamp_str = vp_timestamp_str.replace("Z", "+00:00")
-    vp_timestamp = datetime.fromisoformat(vp_timestamp_str)
-
-    # Extract temporal features (Costa Rica locale by default)
-    temporal_features = extract_temporal_features(
-        vp_timestamp,
-        tz="America/Costa_Rica",
-        region="CR",
-    )
-
-    # Determine route
-    if route_id is None:
-        route_id = vehicle_position.get("route", "unknown")
-
-    # Validate shape support
-    shape_available = shape is not None and SHAPE_SUPPORT
-    if shape and not SHAPE_SUPPORT:
-        _log.debug("Shape provided but spatial module unavailable; using fallback")
-        shape = None
-
-    # Load registry and select model
-    registry = get_registry()
-    model_scope = "unknown"
-
-    if model_key is None:
-        if prefer_route_model and route_id and route_id != "unknown":
-            model_key = registry.get_best_model(
-                model_type=model_type,
-                route_id=route_id,
-                metric="test_mae_seconds",
-            )
-            model_scope = "route" if model_key else "global"
-            if model_key is None:
-                model_key = registry.get_best_model(
-                    model_type=model_type,
-                    route_id="global",
-                    metric="test_mae_seconds",
-                )
-        else:
-            model_key = registry.get_best_model(
-                model_type=model_type,
-                route_id="global",
-                metric="test_mae_seconds",
-            )
-            model_scope = "global"
-
-        # Last fallback — any model of the given type
-        if model_key is None:
-            model_key = registry.get_best_model(model_type=model_type)
-
-        if model_key is None:
-            return {
-                "vehicle_id": vehicle_position["vehicle_id"],
-                "route_id": route_id,
-                "trip_id": trip_id,
-                "computed_at": datetime.now(timezone.utc).isoformat(),
-                "model_key": None,
-                "predictions": [],
-                "error": "No trained models found for model_type",
-            }
-
-    # Load model metadata
-    try:
-        model_metadata = registry.load_metadata(model_key)
-        actual_model_type = model_metadata.get("model_type", "unknown")
-        model_route_id = model_metadata.get("route_id")
-        if model_route_id not in (None, "global"):
-            model_scope = "route"
-        elif model_scope == "unknown":
-            model_scope = "global"
-    except Exception as exc:
-        return {
-            "vehicle_id": vehicle_position["vehicle_id"],
-            "route_id": route_id,
-            "trip_id": trip_id,
-            "computed_at": datetime.now(timezone.utc).isoformat(),
-            "model_key": model_key,
-            "predictions": [],
-            "error": f"Failed to load model metadata: {exc}",
-        }
-
-    # -----------------------------------------------------------------------
-    # Per-stop predictions
-    # -----------------------------------------------------------------------
-    predictions = []
-    approx_total_segments = (
-        max(
-            (
-                stop.get("total_stop_sequence")
-                or stop.get("stop_sequence")
-                or stop.get("sequence")
-                or 0
-            )
-            for stop in stops_to_predict
-        )
-        if stops_to_predict
-        else 0
-    )
-    if approx_total_segments <= 0:
-        approx_total_segments = max(len(stops_to_predict), 1)
-
-    for idx, stop in enumerate(stops_to_predict):
-        next_stop = stops_to_predict[idx + 1] if idx + 1 < len(stops_to_predict) else None
-
-        # Use explicit None checks, not `or`: stop_sequence == 0 is a valid
-        # GTFS 0-based sequence and must not be treated as falsy (that would
-        # relabel stop 0 as 1 and collide with a real stop 1).
-        if stop.get("stop_sequence") is not None:
-            stop_sequence_value = stop["stop_sequence"]
-        elif stop.get("sequence") is not None:
-            stop_sequence_value = stop["sequence"]
-        elif stop.get("stop_order") is not None:
-            stop_sequence_value = stop["stop_order"]
-        else:
-            stop_sequence_value = idx + 1
-
-        # -------------------------------------------------------------------
-        # PRECOMPUTED-DISTANCE HOOK
-        # Databus pre-computes a loop-back-safe monotonic distance along the
-        # shape for each upcoming stop and stores it as shape_distance_to_stop.
-        # When present, we use it directly as the authoritative distance_m,
-        # skipping both ShapePolyline projection and haversine fallback.
-        # This avoids projection artifacts on looping routes and ensures the
-        # distance is always non-decreasing across the stop list.
-        # -------------------------------------------------------------------
-        precomputed_dist = stop.get("shape_distance_to_stop")
-        if precomputed_dist is not None:
-            distance_m = float(precomputed_dist)
-            spatial_features = {
-                "distance_to_stop_m": distance_m,
-                "progress_on_segment": 0.0,
-                "progress_ratio": 0.0,
-                "cross_track_error": None,
-                "shape_progress": None,
-                # Surface the precomputed distance so it appears in the
-                # output prediction dict as shape_distance_to_stop_m.
-                "shape_distance_to_stop": distance_m,
-            }
-        elif shape_available:
-            spatial_features = _progress_features_with_shape(
-                vehicle_position,
-                stop,
-                next_stop,
-                shape,
-                vehicle_stop_order=stop_sequence_value,
-                total_segments=approx_total_segments,
-            )
-            distance_m = spatial_features["distance_to_stop_m"]
-        else:
-            spatial_features = _progress_features_fallback(
-                vehicle_position,
-                stop,
-                next_stop,
-                approx_total_segments,
-            )
-            distance_m = spatial_features["distance_to_stop_m"]
-
-        # Build feature dict for the model
-        progress_on_segment = spatial_features["progress_on_segment"] or 0.0
-        progress_ratio = spatial_features["progress_ratio"] or 0.0
-
-        features = {
-            "route_id": route_id,
-            "stop_sequence": stop_sequence_value,
-            "distance_to_stop": distance_m,
-            "progress_on_segment": progress_on_segment,
-            "progress_ratio": progress_ratio,
-            "hour": temporal_features["hour"],
-            "day_of_week": temporal_features["day_of_week"],
-            "is_weekend": temporal_features["is_weekend"],
-            "is_holiday": temporal_features["is_holiday"],
-            "is_peak_hour": temporal_features["is_peak_hour"],
-            "temperature_c": 25.0,
-            "precipitation_mm": 0.0,
-            "wind_speed_kmh": None,
-        }
-
-        try:
-            result = _predict_with_model(model_key, actual_model_type, features, distance_m)
-
-            eta_seconds = result.get("eta_seconds", 0.0)
-            eta_minutes = eta_seconds / 60.0
-            eta_formatted = result.get(
-                "eta_formatted",
-                f"{int(eta_minutes)}m {int(eta_seconds % 60)}s",
-            )
-            eta_ts = datetime.fromtimestamp(
-                vp_timestamp.timestamp() + eta_seconds, tz=timezone.utc
-            )
-
-            prediction = {
-                "stop_id": stop["stop_id"],
-                "stop_sequence": stop_sequence_value,
-                "distance_to_stop_m": round(distance_m, 1),
-                "eta_seconds": round(eta_seconds, 1),
-                "eta_minutes": round(eta_minutes, 2),
-                "eta_formatted": eta_formatted,
-                "eta_timestamp": eta_ts.isoformat(),
-            }
-
-            # Optional shape metrics
-            if spatial_features.get("cross_track_error") is not None:
-                prediction["cross_track_error_m"] = round(spatial_features["cross_track_error"], 1)
-            if spatial_features.get("shape_progress") is not None:
-                prediction["shape_progress"] = round(spatial_features["shape_progress"], 3)
-            if spatial_features.get("shape_distance_to_stop") is not None:
-                prediction["shape_distance_to_stop_m"] = round(
-                    spatial_features["shape_distance_to_stop"], 1
-                )
-
-            predictions.append(prediction)
-
-        except Exception as exc:
-            predictions.append(
-                {
-                    "stop_id": stop["stop_id"],
-                    "stop_sequence": stop_sequence_value,
-                    "distance_to_stop_m": round(distance_m, 1),
-                    "eta_seconds": None,
-                    "eta_minutes": None,
-                    "eta_formatted": None,
-                    "eta_timestamp": None,
-                    "error": str(exc),
-                }
-            )
-
-    return {
-        "vehicle_id": vehicle_position["vehicle_id"],
-        "route_id": route_id,
-        "trip_id": trip_id,
-        "computed_at": datetime.now(timezone.utc).isoformat(),
-        "model_key": model_key,
-        "model_type": actual_model_type,
-        "model_scope": model_scope,
-        "shape_used": shape_available,
-        "predictions": predictions,
-    }
diff --git a/backend/gtfs-eta/gtfs_eta/feature_engineering/__init__.py b/backend/gtfs-eta/gtfs_eta/feature_engineering/__init__.py
deleted file mode 100644
index 1d1fec6..0000000
--- a/backend/gtfs-eta/gtfs_eta/feature_engineering/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-# gtfs_eta.feature_engineering
diff --git a/backend/gtfs-eta/gtfs_eta/feature_engineering/spatial.py b/backend/gtfs-eta/gtfs_eta/feature_engineering/spatial.py
deleted file mode 100644
index 4fa2150..0000000
--- a/backend/gtfs-eta/gtfs_eta/feature_engineering/spatial.py
+++ /dev/null
@@ -1,250 +0,0 @@
-"""
-Shape-informed spatial feature extraction for gtfs_eta.
-
-Ported from eta_prediction/feature_engineering/spatial.py on branch
-feature/eta_prediction.  No sys.path hacks; no DB helper functions
-(load_shape_from_gtfs / load_shape_for_trip) that require psycopg2 are
-kept because they are not needed by the inference path.
-"""
-from __future__ import annotations
-
-import math
-from typing import Dict, List, Tuple, Optional
-
-EARTH_RADIUS_M = 6_371_000.0
-
-
-def _deg2rad(x: float) -> float:
-    return x * math.pi / 180.0
-
-
-def _haversine_m(lat1: float, lon1: float, lat2: float, lon2: float) -> float:
-    """Great-circle distance in meters."""
-    phi1, phi2 = _deg2rad(lat1), _deg2rad(lat2)
-    dphi = phi2 - phi1
-    dlambda = _deg2rad(lon2 - lon1)
-    a = math.sin(dphi / 2) ** 2 + math.cos(phi1) * math.cos(phi2) * math.sin(dlambda / 2) ** 2
-    c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
-    return EARTH_RADIUS_M * c
-
-
-class ShapePolyline:
-    """
-    Represents a route shape as an ordered sequence of (lat, lon) points.
-    Provides methods to project vehicle positions onto the polyline and
-    compute accurate progress along the route.
-    """
-
-    def __init__(self, points: List[Tuple[float, float]]):
-        if len(points) < 2:
-            raise ValueError("Shape must have at least 2 points")
-        self.points = points
-        self._segment_lengths = self._compute_segment_lengths()
-        self._cumulative_distances = self._compute_cumulative_distances()
-        self.total_length = self._cumulative_distances[-1]
-
-    def _compute_segment_lengths(self) -> List[float]:
-        lengths = []
-        for i in range(len(self.points) - 1):
-            lat1, lon1 = self.points[i]
-            lat2, lon2 = self.points[i + 1]
-            lengths.append(_haversine_m(lat1, lon1, lat2, lon2))
-        return lengths
-
-    def _compute_cumulative_distances(self) -> List[float]:
-        cumulative = [0.0]
-        for length in self._segment_lengths:
-            cumulative.append(cumulative[-1] + length)
-        return cumulative
-
-    def project_point(self, lat: float, lon: float) -> Dict:
-        """
-        Project a point onto the polyline, finding the closest position.
-
-        Returns:
-            {
-                'distance_along_shape': meters from shape start,
-                'cross_track_distance': perpendicular distance from shape (meters),
-                'closest_segment_idx': index of nearest segment,
-                'progress': normalized progress [0, 1]
-            }
-        """
-        min_dist = float("inf")
-        best_segment_idx = 0
-        best_projection_dist = 0.0
-
-        for i in range(len(self.points) - 1):
-            lat1, lon1 = self.points[i]
-            lat2, lon2 = self.points[i + 1]
-            proj_info = self._project_onto_segment(lat, lon, lat1, lon1, lat2, lon2)
-            if proj_info["distance"] < min_dist:
-                min_dist = proj_info["distance"]
-                best_segment_idx = i
-                best_projection_dist = proj_info["distance_along_segment"]
-
-        distance_along_shape = (
-            self._cumulative_distances[best_segment_idx] + best_projection_dist
-        )
-        progress = (
-            distance_along_shape / self.total_length if self.total_length > 0 else 0.0
-        )
-
-        return {
-            "distance_along_shape": distance_along_shape,
-            "cross_track_distance": min_dist,
-            "closest_segment_idx": best_segment_idx,
-            "progress": min(1.0, max(0.0, progress)),
-        }
-
-    def _project_onto_segment(
-        self,
-        lat: float,
-        lon: float,
-        lat1: float,
-        lon1: float,
-        lat2: float,
-        lon2: float,
-    ) -> Dict:
-        """Project point onto a single segment (planar approximation)."""
-        avg_lat = (lat1 + lat2) / 2
-        meters_per_deg_lat = 111320.0
-        meters_per_deg_lon = 111320.0 * math.cos(_deg2rad(avg_lat))
-
-        seg_x = (lon2 - lon1) * meters_per_deg_lon
-        seg_y = (lat2 - lat1) * meters_per_deg_lat
-        seg_length_sq = seg_x ** 2 + seg_y ** 2
-
-        if seg_length_sq < 1e-6:
-            dist = _haversine_m(lat, lon, lat1, lon1)
-            return {"distance": dist, "distance_along_segment": 0.0}
-
-        dx = (lon - lon1) * meters_per_deg_lon
-        dy = (lat - lat1) * meters_per_deg_lat
-
-        t = (dx * seg_x + dy * seg_y) / seg_length_sq
-        t = max(0.0, min(1.0, t))
-
-        proj_x = lon1 + t * (lon2 - lon1)
-        proj_y = lat1 + t * (lat2 - lat1)
-
-        dist = _haversine_m(lat, lon, proj_y, proj_x)
-        seg_length = math.sqrt(seg_length_sq)
-        distance_along_segment = t * seg_length
-
-        return {"distance": dist, "distance_along_segment": distance_along_segment}
-
-    def get_distance_between_stops(
-        self,
-        stop1_lat: float,
-        stop1_lon: float,
-        stop2_lat: float,
-        stop2_lon: float,
-    ) -> float:
-        """Get shape distance between two stops (more accurate than haversine)."""
-        proj1 = self.project_point(stop1_lat, stop1_lon)
-        proj2 = self.project_point(stop2_lat, stop2_lon)
-        return abs(proj2["distance_along_shape"] - proj1["distance_along_shape"])
-
-
-def calculate_distance_features_with_shape(
-    vehicle_position: Dict,
-    stop: Dict,
-    next_stop: Optional[Dict],
-    shape: Optional[ShapePolyline] = None,
-    vehicle_stop_order: Optional[int] = None,
-    total_segments: Optional[int] = None,
-) -> Dict:
-    """
-    Enhanced spatial feature extraction using shape data when available.
-
-    Args:
-        vehicle_position: {'lat': float, 'lon': float}
-        stop: {'stop_id': str, 'lat': float, 'lon': float}
-        next_stop: {'stop_id': str, 'lat': float, 'lon': float} or None
-        shape: ShapePolyline instance or None
-        vehicle_stop_order: 0-based index of the closest upstream stop
-        total_segments: Total number of stop-to-stop segments in trip
-
-    Returns:
-        Dict with distance_to_stop, progress_on_segment, progress_ratio,
-        shape_progress, shape_distance_to_stop, cross_track_error
-    """
-    vlat, vlon = float(vehicle_position["lat"]), float(vehicle_position["lon"])
-    slat, slon = float(stop["lat"]), float(stop["lon"])
-
-    result: Dict = {
-        "distance_to_stop": _haversine_m(vlat, vlon, slat, slon),
-        "distance_to_next_stop": None,
-        "progress_on_segment": None,
-        "progress_ratio": None,
-        "shape_progress": None,
-        "shape_distance_to_stop": None,
-        "cross_track_error": None,
-    }
-
-    nlat = nlon = None
-    if next_stop is not None:
-        nlat, nlon = float(next_stop["lat"]), float(next_stop["lon"])
-        seg_len = _haversine_m(slat, slon, nlat, nlon)
-        result["distance_to_next_stop"] = (
-            0.0 if seg_len == 0.0 else _haversine_m(vlat, vlon, nlat, nlon)
-        )
-
-    # Simple progress proxy when no shape
-    if result["progress_on_segment"] is None and next_stop is not None and result["distance_to_next_stop"] is not None:
-        seg_len = _haversine_m(slat, slon, nlat, nlon)
-        if seg_len > 0:
-            progress = 1.0 - (result["distance_to_next_stop"] / seg_len)
-            result["progress_on_segment"] = max(0.0, min(1.0, progress))
-        else:
-            result["progress_on_segment"] = 0.0
-
-    # Shape-based features
-    if shape is not None:
-        vehicle_proj = shape.project_point(vlat, vlon)
-        stop_proj = shape.project_point(slat, slon)
-
-        shape_dist_to_stop = (
-            stop_proj["distance_along_shape"] - vehicle_proj["distance_along_shape"]
-        )
-        result.update(
-            {
-                "shape_progress": vehicle_proj["progress"],
-                "shape_distance_to_stop": max(0, shape_dist_to_stop),
-                "cross_track_error": vehicle_proj["cross_track_distance"],
-                "progress_ratio": vehicle_proj["progress"],
-            }
-        )
-
-        if next_stop is not None:
-            next_proj = shape.project_point(nlat, nlon)
-            segment_length = (
-                next_proj["distance_along_shape"] - stop_proj["distance_along_shape"]
-            )
-            if segment_length > 0:
-                past_stop = (
-                    vehicle_proj["distance_along_shape"]
-                    - stop_proj["distance_along_shape"]
-                )
-                result["progress_on_segment"] = max(
-                    0.0, min(1.0, past_stop / segment_length)
-                )
-            else:
-                result["progress_on_segment"] = 0.0
-
-    # Fallback progress_ratio using stop order metadata
-    if result["progress_ratio"] is None:
-        order = vehicle_stop_order
-        if order is None:
-            order = stop.get("vehicle_stop_order") or stop.get("stop_order")
-        segments = total_segments
-        if segments is None:
-            segments = stop.get("total_segments")
-        if order is not None and segments:
-            completed_segments = max(float(order), 0.0)
-            progress_within = result["progress_on_segment"] or 0.0
-            denom = max(float(segments), 1.0)
-            ratio = (completed_segments + progress_within) / denom
-            result["progress_ratio"] = max(0.0, min(1.0, ratio))
-
-    return result
diff --git a/backend/gtfs-eta/gtfs_eta/feature_engineering/temporal.py b/backend/gtfs-eta/gtfs_eta/feature_engineering/temporal.py
deleted file mode 100644
index 25c5963..0000000
--- a/backend/gtfs-eta/gtfs_eta/feature_engineering/temporal.py
+++ /dev/null
@@ -1,98 +0,0 @@
-"""
-Temporal feature extraction for gtfs_eta.
-
-Ported verbatim from eta_prediction/feature_engineering/temporal.py on
-branch feature/eta_prediction; only the import path was changed (no
-sys.path hacks needed in this package).
-"""
-from __future__ import annotations
-
-from datetime import datetime
-from typing import Dict, Optional
-
-try:
-    import zoneinfo  # py3.9+
-except ImportError:  # pragma: no cover
-    from backports import zoneinfo  # type: ignore
-
-
-def _get_holiday_calendar(region: str):
-    """
-    Try to build a holiday calendar. Falls back to empty set if 'holidays' isn't installed.
-    region:
-      - 'US_MA' -> U.S. w/ Massachusetts state holidays (good for MBTA)
-      - 'CR'    -> Costa Rica
-    """
-    try:
-        import holidays
-    except Exception:
-        return None
-
-    if region.upper() == "US_MA":
-        return holidays.US(state="MA")
-    if region.upper() == "CR":
-        # Requires holidays>=0.52 which includes CostaRica
-        try:
-            return holidays.CostaRica()
-        except Exception:
-            return None
-    # Fallback: US federal only
-    return holidays.US()
-
-
-def _to_local(dt: datetime, tz: str) -> datetime:
-    """Ensure timezone-aware datetime localized to tz."""
-    tzinfo = zoneinfo.ZoneInfo(tz)
-    if dt.tzinfo is None:
-        # assume input is UTC if naive
-        return dt.replace(tzinfo=zoneinfo.ZoneInfo("UTC")).astimezone(tzinfo)
-    return dt.astimezone(tzinfo)
-
-
-def _tod_bin(hour: int) -> str:
-    """
-    Map hour -> time-of-day bin.
-    Spec requires: 'morning' | 'midday' | 'afternoon' | 'evening'.
-    """
-    if 5 <= hour <= 9:
-        return "morning"
-    if 10 <= hour <= 13:
-        return "midday"
-    if 14 <= hour <= 17:
-        return "afternoon"
-    return "evening"
-
-
-def extract_temporal_features(
-    timestamp: datetime,
-    *,
-    tz: str = "America/New_York",
-    region: str = "US_MA",
-) -> Dict[str, object]:
-    """
-    Returns:
-        - hour: 0-23
-        - day_of_week: 0-6 (Monday=0)
-        - is_weekend: bool
-        - is_holiday: bool
-        - time_of_day_bin: 'morning'|'midday'|'afternoon'|'evening'
-        - is_peak_hour: bool (7-9am, 4-7pm; weekdays only)
-    """
-    dt_local = _to_local(timestamp, tz)
-    hour = dt_local.hour
-    dow = dt_local.weekday()  # Monday=0
-    is_weekend = dow >= 5
-
-    cal = _get_holiday_calendar(region)
-    is_holiday = bool(cal and (dt_local.date() in cal))
-
-    is_peak_hour = (dow < 5) and ((7 <= hour <= 9) or (16 <= hour <= 19))
-
-    return {
-        "hour": hour,
-        "day_of_week": dow,
-        "is_weekend": is_weekend,
-        "is_holiday": is_holiday,
-        "time_of_day_bin": _tod_bin(hour),
-        "is_peak_hour": is_peak_hour,
-    }
diff --git a/backend/gtfs-eta/gtfs_eta/models/__init__.py b/backend/gtfs-eta/gtfs_eta/models/__init__.py
deleted file mode 100644
index 0063a48..0000000
--- a/backend/gtfs-eta/gtfs_eta/models/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-# gtfs_eta.models
diff --git a/backend/gtfs-eta/gtfs_eta/models/common/__init__.py b/backend/gtfs-eta/gtfs_eta/models/common/__init__.py
deleted file mode 100644
index 8492010..0000000
--- a/backend/gtfs-eta/gtfs_eta/models/common/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-# gtfs_eta.models.common
diff --git a/backend/gtfs-eta/gtfs_eta/models/common/registry.py b/backend/gtfs-eta/gtfs_eta/models/common/registry.py
deleted file mode 100644
index 02b3a4b..0000000
--- a/backend/gtfs-eta/gtfs_eta/models/common/registry.py
+++ /dev/null
@@ -1,316 +0,0 @@
-"""
-Model registry for gtfs_eta.
-
-Manages trained model artifacts and metadata in a structured directory.
-The registry dir is determined solely by the MODEL_REGISTRY_DIR environment
-variable; no __file__-relative paths are used so the package is relocatable.
-
-Ported from eta_prediction/models/common/registry.py on branch
-feature/eta_prediction with the following changes:
-  - Removed sys.path hacks (not needed in a proper package).
-  - Removed print() diagnostics; replaced with logging.
-  - PROJECT_ROOT / DEFAULT_REGISTRY_DIR no longer derived from __file__ —
-    the env var is the only authoritative source.
-  - _find_existing_registry_dir() retained as a convenience fallback for
-    local dev (walks CWD upwards looking for models/trained/registry.json).
-  - get_registry() singleton caching retained.
-"""
-
-import json
-import logging
-import os
-import pickle
-from datetime import datetime
-from pathlib import Path
-from typing import Any, Dict, List, Optional, Union
-
-import pandas as pd
-
-_log = logging.getLogger(__name__)
-
-# ── Directory resolution ──────────────────────────────────────────────────────
-
-def _find_existing_registry_dir() -> Optional[Path]:
-    """
-    Walk CWD upward searching for an existing models/trained/registry.json.
-    Returns None if not found (caller should then raise or use a default).
-    """
-    cwd = Path.cwd().resolve()
-    for root in [cwd, *cwd.parents]:
-        candidate = root / "models" / "trained"
-        if (candidate / "registry.json").exists():
-            return candidate.resolve()
-    return None
-
-
-def _resolve_registry_dir() -> Path:
-    """
-    Determine the registry directory with this priority:
-      1. MODEL_REGISTRY_DIR env var (authoritative).
-      2. Walk CWD upward for an existing registry (dev convenience).
-      3. Raise at runtime if neither is available.
-    """
-    env_dir = os.getenv("MODEL_REGISTRY_DIR")
-    if env_dir:
-        return Path(env_dir).expanduser().resolve()
-    discovered = _find_existing_registry_dir()
-    if discovered:
-        return discovered
-    raise RuntimeError(
-        "MODEL_REGISTRY_DIR is not set and no existing registry was found. "
-        "Set the MODEL_REGISTRY_DIR environment variable before using gtfs_eta."
-    )
-
-
-# ── Registry class ────────────────────────────────────────────────────────────
-
-class ModelRegistry:
-    """
-    Manages model artifacts and metadata in a structured directory.
-
-    Structure::
-
-        <registry_dir>/
-          {model_key}.pkl
-          {model_key}_meta.json
-          registry.json          # index of all models
-    """
-
-    def __init__(self, base_dir: Union[str, Path, None] = None):
-        if base_dir is not None:
-            base_path = Path(base_dir).expanduser().resolve()
-        else:
-            base_path = _resolve_registry_dir()
-
-        self.base_dir = base_path
-        self.base_dir.mkdir(parents=True, exist_ok=True)
-
-        self.registry_file = self.base_dir / "registry.json"
-        self._load_registry()
-
-    # ── persistence ──────────────────────────────────────────────────────────
-
-    def _load_registry(self) -> None:
-        if self.registry_file.exists():
-            with open(self.registry_file, "r") as f:
-                self.registry: Dict[str, Any] = json.load(f)
-        else:
-            self.registry = {}
-
-    def _save_registry(self) -> None:
-        with open(self.registry_file, "w") as f:
-            json.dump(self.registry, f, indent=2)
-
-    # ── CRUD ─────────────────────────────────────────────────────────────────
-
-    def save_model(
-        self,
-        model_key: str,
-        model: Any,
-        metadata: Dict[str, Any],
-        overwrite: bool = False,
-    ) -> Path:
-        """Save model pickle + metadata JSON; update the registry index."""
-        model_path = self.base_dir / f"{model_key}.pkl"
-        meta_path = self.base_dir / f"{model_key}_meta.json"
-
-        if model_path.exists() and not overwrite:
-            raise FileExistsError(
-                f"Model {model_key} already exists. Set overwrite=True to replace."
-            )
-
-        with open(model_path, "wb") as f:
-            pickle.dump(model, f)
-
-        metadata = dict(metadata)  # don't mutate caller's dict
-        metadata["model_key"] = model_key
-        metadata["saved_at"] = datetime.now().isoformat()
-        metadata["model_path"] = model_path.name
-
-        with open(meta_path, "w") as f:
-            json.dump(metadata, f, indent=2)
-
-        route_info = (
-            f" (route: {metadata.get('route_id')})"
-            if metadata.get("route_id")
-            else " (global)"
-        )
-        _log.debug("Saved model: %s%s", model_key, route_info)
-
-        # Store basenames only — paths are resolved against ``base_dir`` at
-        # load time (see ``_resolve_in_registry``), keeping the registry
-        # relocatable: a registry directory can be moved, bind-mounted at a
-        # different root, or checked into version control and still load.
-        self.registry[model_key] = {
-            "model_path": model_path.name,
-            "meta_path": meta_path.name,
-            "saved_at": metadata["saved_at"],
-            "model_type": metadata.get("model_type", "unknown"),
-            "route_id": metadata.get("route_id"),
-            "dataset": metadata.get("dataset", "unknown"),
-        }
-        self._save_registry()
-        return model_path
-
-    def _resolve_in_registry(self, stored_path: str) -> Path:
-        """Resolve a registry-stored path against the registry directory.
-
-        Only the basename of ``stored_path`` is used, so entries written with
-        an absolute path on another host (e.g. ``/app/eta_models/x.pkl``) still
-        load wherever the registry directory currently lives.
-        """
-        return self.base_dir / Path(stored_path).name
-
-    def load_model(self, model_key: str) -> Any:
-        """Load and unpickle a model from the registry."""
-        if model_key not in self.registry:
-            raise KeyError(f"Model {model_key!r} not found in registry")
-        model_path = self._resolve_in_registry(self.registry[model_key]["model_path"])
-        with open(model_path, "rb") as f:
-            return pickle.load(f)
-
-    def load_metadata(self, model_key: str) -> Dict[str, Any]:
-        """Load metadata JSON for a model."""
-        if model_key not in self.registry:
-            raise KeyError(f"Model {model_key!r} not found in registry")
-        meta_path = self._resolve_in_registry(self.registry[model_key]["meta_path"])
-        with open(meta_path, "r") as f:
-            return json.load(f)
-
-    def delete_model(self, model_key: str) -> bool:
-        """Remove model pickle, metadata, and registry entry."""
-        if model_key not in self.registry:
-            raise KeyError(f"Model {model_key!r} not found in registry")
-
-        model_path = self._resolve_in_registry(self.registry[model_key]["model_path"])
-        meta_path = self._resolve_in_registry(self.registry[model_key]["meta_path"])
-
-        if model_path.exists():
-            model_path.unlink()
-        if meta_path.exists():
-            meta_path.unlink()
-
-        del self.registry[model_key]
-        self._save_registry()
-        _log.debug("Deleted model: %s", model_key)
-        return True
-
-    # ── query helpers ─────────────────────────────────────────────────────────
-
-    def list_models(
-        self,
-        model_type: Optional[str] = None,
-        route_id: Optional[str] = None,
-        sort_by: str = "saved_at",
-    ) -> pd.DataFrame:
-        """Return a DataFrame of all models matching the given filters."""
-        models = []
-        for key, info in self.registry.items():
-            if model_type and info.get("model_type") != model_type:
-                continue
-            model_route_id = info.get("route_id")
-            if route_id is not None and route_id != "all":
-                if route_id == "global" and model_route_id is not None:
-                    continue
-                elif route_id != "global" and model_route_id != route_id:
-                    continue
-            try:
-                meta = self.load_metadata(key)
-                models.append(
-                    {
-                        "model_key": key,
-                        "model_type": info.get("model_type", "unknown"),
-                        "route_id": model_route_id or "global",
-                        "saved_at": info["saved_at"],
-                        "dataset": meta.get("dataset", "unknown"),
-                        "n_samples": meta.get("n_samples"),
-                        "mae_seconds": meta.get("metrics", {}).get("test_mae_seconds"),
-                        "mae_minutes": meta.get("metrics", {}).get("test_mae_minutes"),
-                        "rmse_seconds": meta.get("metrics", {}).get("test_rmse_seconds"),
-                        "r2": meta.get("metrics", {}).get("test_r2"),
-                    }
-                )
-            except Exception as exc:
-                _log.warning("Could not load metadata for %s: %s", key, exc)
-
-        df = pd.DataFrame(models)
-        if not df.empty and sort_by in df.columns:
-            df = df.sort_values(sort_by, ascending=False)
-        return df
-
-    def get_best_model(
-        self,
-        model_type: Optional[str] = None,
-        route_id: Optional[str] = None,
-        metric: str = "test_mae_seconds",
-        minimize: bool = True,
-    ) -> Optional[str]:
-        """
-        Return the model_key of the best model by the given metric.
-
-        When route_id is None, prefers route-specific models if they exist;
-        otherwise falls back to global models.
-        """
-        candidates = []
-        for key in self.registry:
-            if model_type and self.registry[key].get("model_type") != model_type:
-                continue
-
-            model_route_id = self.registry[key].get("route_id")
-            if route_id is not None:
-                if route_id == "global" and model_route_id is not None:
-                    continue
-                elif route_id != "global" and model_route_id != route_id:
-                    continue
-
-            try:
-                meta = self.load_metadata(key)
-                metric_value = meta.get("metrics", {}).get(metric)
-                if metric_value is not None:
-                    candidates.append(
-                        {
-                            "key": key,
-                            "metric_value": metric_value,
-                            "route_id": model_route_id,
-                            "is_route_specific": model_route_id is not None,
-                        }
-                    )
-            except Exception:
-                continue
-
-        if not candidates:
-            return None
-
-        if route_id is None:
-            route_specific = [c for c in candidates if c["is_route_specific"]]
-            global_models = [c for c in candidates if not c["is_route_specific"]]
-            candidates_to_sort = route_specific if route_specific else global_models
-        else:
-            candidates_to_sort = candidates
-
-        candidates_to_sort.sort(key=lambda x: x["metric_value"], reverse=not minimize)
-        return candidates_to_sort[0]["key"] if candidates_to_sort else None
-
-    def get_routes(self, model_type: Optional[str] = None) -> List[str]:
-        """Return sorted list of route IDs that have trained models."""
-        routes = set()
-        for key, info in self.registry.items():
-            if model_type and info.get("model_type") != model_type:
-                continue
-            route = info.get("route_id")
-            if route is not None:
-                routes.add(route)
-        return sorted(routes)
-
-
-# ── Singleton ─────────────────────────────────────────────────────────────────
-
-_registry: Optional[ModelRegistry] = None
-
-
-def get_registry() -> ModelRegistry:
-    """Return (or lazily create) the process-level registry singleton."""
-    global _registry
-    if _registry is None:
-        _registry = ModelRegistry()
-    return _registry
diff --git a/backend/gtfs-eta/gtfs_eta/models/common/utils.py b/backend/gtfs-eta/gtfs_eta/models/common/utils.py
deleted file mode 100644
index 0ab81c9..0000000
--- a/backend/gtfs-eta/gtfs_eta/models/common/utils.py
+++ /dev/null
@@ -1,126 +0,0 @@
-"""
-Utility functions for gtfs_eta.models.
-
-Ported from eta_prediction/models/common/utils.py on branch
-feature/eta_prediction.  Training helpers (print_metrics_table,
-train_test_summary, create_feature_importance_df) are retained as-is;
-they are harmless at inference time.
-"""
-
-import numpy as np
-import pandas as pd
-from typing import Any, Dict, List, Optional
-import logging
-
-
-def setup_logging(name: str = "eta_models", level: str = "INFO") -> logging.Logger:
-    """Setup consistent logging for models."""
-    logger = logging.getLogger(name)
-    logger.setLevel(getattr(logging, level))
-    if not logger.handlers:
-        handler = logging.StreamHandler()
-        handler.setFormatter(
-            logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
-        )
-        logger.addHandler(handler)
-    return logger
-
-
-def safe_divide(
-    numerator: np.ndarray,
-    denominator: np.ndarray,
-    fill_value: float = 0.0,
-) -> np.ndarray:
-    """Safe division that handles division by zero."""
-    result = np.full_like(numerator, fill_value, dtype=float)
-    mask = denominator != 0
-    result[mask] = numerator[mask] / denominator[mask]
-    return result
-
-
-def clip_predictions(
-    predictions: np.ndarray,
-    min_value: float = 0.0,
-    max_value: float = 7200.0,
-) -> np.ndarray:
-    """Clip predictions to reasonable range (0–7200 s by default)."""
-    return np.clip(predictions, min_value, max_value)
-
-
-def calculate_speed_kmh(distance_m: float, time_s: float) -> float:
-    """Calculate speed in km/h from distance and time."""
-    if time_s <= 0:
-        return 0.0
-    return (distance_m / 1000) / (time_s / 3600)
-
-
-def haversine_distance(
-    lat1: float,
-    lon1: float,
-    lat2: float,
-    lon2: float,
-) -> float:
-    """Calculate great-circle distance between two points (meters)."""
-    R = 6_371_000
-    phi1 = np.radians(lat1)
-    phi2 = np.radians(lat2)
-    delta_phi = np.radians(lat2 - lat1)
-    delta_lambda = np.radians(lon2 - lon1)
-    a = (
-        np.sin(delta_phi / 2) ** 2
-        + np.cos(phi1) * np.cos(phi2) * np.sin(delta_lambda / 2) ** 2
-    )
-    c = 2 * np.arctan2(np.sqrt(a), np.sqrt(1 - a))
-    return R * c
-
-
-def format_seconds(seconds: float) -> str:
-    """Format seconds as human-readable string (e.g. '2m 30s', '1h 15m')."""
-    if seconds < 60:
-        return f"{int(seconds)}s"
-    elif seconds < 3600:
-        minutes = int(seconds / 60)
-        secs = int(seconds % 60)
-        return f"{minutes}m {secs}s"
-    else:
-        hours = int(seconds / 3600)
-        minutes = int((seconds % 3600) / 60)
-        return f"{hours}h {minutes}m"
-
-
-def add_lag_features(
-    df: pd.DataFrame,
-    columns: List[str],
-    lags: List[int],
-    group_by: Optional[str] = None,
-) -> pd.DataFrame:
-    """Add lagged features to dataframe (returns a new copy)."""
-    df_copy = df.copy()
-    for col in columns:
-        for lag in lags:
-            lag_col_name = f"{col}_lag{lag}"
-            if group_by:
-                df_copy[lag_col_name] = df_copy.groupby(group_by)[col].shift(lag)
-            else:
-                df_copy[lag_col_name] = df_copy[col].shift(lag)
-    return df_copy
-
-
-def smooth_predictions(
-    predictions: np.ndarray,
-    window_size: int = 3,
-    method: str = "ewma",
-    alpha: float = 0.3,
-) -> np.ndarray:
-    """Smooth predictions using rolling average or EWMA."""
-    if len(predictions) < window_size:
-        return predictions
-    s = pd.Series(predictions)
-    if method == "mean":
-        return s.rolling(window_size, min_periods=1).mean().values
-    elif method == "median":
-        return s.rolling(window_size, min_periods=1).median().values
-    elif method == "ewma":
-        return s.ewm(alpha=alpha).mean().values
-    else:
-        raise ValueError(f"Unknown smoothing method: {method}")
diff --git a/backend/gtfs-eta/gtfs_eta/models/polyreg_distance/__init__.py b/backend/gtfs-eta/gtfs_eta/models/polyreg_distance/__init__.py
deleted file mode 100644
index 7674c17..0000000
--- a/backend/gtfs-eta/gtfs_eta/models/polyreg_distance/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-# gtfs_eta.models.polyreg_distance
diff --git a/backend/gtfs-eta/gtfs_eta/models/polyreg_distance/model.py b/backend/gtfs-eta/gtfs_eta/models/polyreg_distance/model.py
deleted file mode 100644
index 9021022..0000000
--- a/backend/gtfs-eta/gtfs_eta/models/polyreg_distance/model.py
+++ /dev/null
@@ -1,150 +0,0 @@
-"""
-PolyRegDistanceModel — inference-only class.
-
-Extracted verbatim from eta_prediction/models/polyreg_distance/train.py on
-branch feature/eta_prediction.  Only the class and its sklearn/numpy/pandas
-imports are present here — training functions, dataset loaders, metrics, and
-ModelKey helpers are deliberately excluded so pickles can be loaded without
-any training-time dependency.
-
-Stable import path for pickle compatibility:
-    gtfs_eta.models.polyreg_distance.model.PolyRegDistanceModel
-"""
-
-import numpy as np
-import pandas as pd
-from sklearn.linear_model import Ridge
-from sklearn.pipeline import Pipeline
-from sklearn.preprocessing import PolynomialFeatures
-from typing import Dict, Optional
-
-from gtfs_eta.models.common.utils import clip_predictions
-
-
-class PolyRegDistanceModel:
-    """
-    Polynomial regression on distance with optional route-specific models.
-
-    Features: distance_to_stop, (distance)^2, (distance)^3, ...
-    Can fit separate models per route for better performance.
-    """
-
-    def __init__(
-        self,
-        degree: int = 2,
-        alpha: float = 1.0,
-        route_specific: bool = False,
-    ):
-        """
-        Args:
-            degree: Polynomial degree (1, 2, or 3 recommended)
-            alpha: Ridge regression alpha (regularization strength)
-            route_specific: Whether to fit separate model per route
-        """
-        self.degree = degree
-        self.alpha = alpha
-        self.route_specific = route_specific
-        self.models: Dict[str, Pipeline] = {}  # route_id -> fitted pipeline
-        self.global_model: Optional[Pipeline] = None
-        self.feature_cols = ["distance_to_stop"]
-
-    # ── internal ──────────────────────────────────────────────────────────────
-
-    def _create_pipeline(self) -> Pipeline:
-        return Pipeline(
-            [
-                ("poly", PolynomialFeatures(degree=self.degree, include_bias=True)),
-                ("ridge", Ridge(alpha=self.alpha)),
-            ]
-        )
-
-    # ── public API ────────────────────────────────────────────────────────────
-
-    def fit(
-        self,
-        train_df: pd.DataFrame,
-        target_col: str = "time_to_arrival_seconds",
-    ) -> "PolyRegDistanceModel":
-        """
-        Train model(s).
-
-        Args:
-            train_df: DataFrame with at least 'distance_to_stop' and target_col.
-                      Also needs 'route_id' when route_specific=True.
-            target_col: Name of the target column.
-
-        Returns:
-            self (for chaining)
-        """
-        if "distance_to_stop" not in train_df.columns:
-            raise ValueError("'distance_to_stop' column required in train_df")
-
-        if self.route_specific:
-            for route_id, route_df in train_df.groupby("route_id"):
-                X = route_df[["distance_to_stop"]].values
-                y = route_df[target_col].values
-                model = self._create_pipeline()
-                model.fit(X, y)
-                self.models[route_id] = model
-        else:
-            X = train_df[["distance_to_stop"]].values
-            y = train_df[target_col].values
-            self.global_model = self._create_pipeline()
-            self.global_model.fit(X, y)
-
-        return self
-
-    def predict(self, X: pd.DataFrame) -> np.ndarray:
-        """
-        Predict ETAs (seconds).
-
-        Args:
-            X: DataFrame with 'distance_to_stop' (and 'route_id' when route_specific).
-
-        Returns:
-            1-D numpy array of predicted ETAs, clipped to [0, 7200] seconds.
-        """
-        if self.route_specific:
-            if "route_id" not in X.columns:
-                raise ValueError("'route_id' required for route-specific model")
-
-            predictions = np.zeros(len(X))
-            X_reset = X.reset_index(drop=True)
-
-            for route_id, route_df in X_reset.groupby("route_id"):
-                pos_indices = route_df.index.values
-                X_route = route_df[["distance_to_stop"]].values
-
-                if route_id in self.models:
-                    predictions[pos_indices] = self.models[route_id].predict(X_route)
-                elif self.global_model is not None:
-                    predictions[pos_indices] = self.global_model.predict(X_route)
-                else:
-                    # fallback: rough 30 km/h
-                    predictions[pos_indices] = X_route.flatten() / 30_000 * 3_600
-        else:
-            if self.global_model is None:
-                raise ValueError("Model has not been trained — call fit() first")
-            X_dist = X[["distance_to_stop"]].values
-            predictions = self.global_model.predict(X_dist)
-
-        return clip_predictions(predictions)
-
-    def get_coefficients(self, route_id: Optional[str] = None) -> Dict:
-        """
-        Return ridge coefficients for the given route (or the global model).
-        """
-        if route_id and route_id in self.models:
-            model = self.models[route_id]
-        elif self.global_model:
-            model = self.global_model
-        else:
-            return {}
-
-        coefs = model.named_steps["ridge"].coef_
-        intercept = model.named_steps["ridge"].intercept_
-        return {
-            "intercept": float(intercept),
-            "coefficients": coefs.tolist(),
-            "degree": self.degree,
-        }
diff --git a/backend/gtfs-eta/gtfs_eta/models/polyreg_distance/predict.py b/backend/gtfs-eta/gtfs_eta/models/polyreg_distance/predict.py
deleted file mode 100644
index 6732056..0000000
--- a/backend/gtfs-eta/gtfs_eta/models/polyreg_distance/predict.py
+++ /dev/null
@@ -1,60 +0,0 @@
-"""
-Prediction interface for the Polynomial Regression Distance model.
-
-Ported from eta_prediction/models/polyreg_distance/predict.py on branch
-feature/eta_prediction with the following changes:
-  - sys.path hacks removed.
-  - Imports rewritten to absolute gtfs_eta.* paths.
-"""
-
-from typing import Dict, Optional
-
-import pandas as pd
-
-from gtfs_eta.models.common.registry import get_registry
-from gtfs_eta.models.common.utils import format_seconds
-
-
-def predict_eta(
-    model_key: str,
-    distance_to_stop: float,
-    route_id: Optional[str] = None,
-) -> Dict:
-    """
-    Predict ETA using a polynomial regression distance model.
-
-    Args:
-        model_key: Model identifier in the registry.
-        distance_to_stop: Distance to the stop in metres.
-        route_id: Route ID — required for route-specific models.
-
-    Returns:
-        Dict with eta_seconds, eta_minutes, eta_formatted, model_key,
-        model_type, distance_to_stop_m, route_specific, degree, coefficients.
-    """
-    registry = get_registry()
-    model = registry.load_model(model_key)
-    metadata = registry.load_metadata(model_key)
-
-    input_data: Dict = {"distance_to_stop": [distance_to_stop]}
-    if model.route_specific:
-        if route_id is None:
-            raise ValueError("route_id is required for a route-specific model")
-        input_data["route_id"] = [route_id]
-
-    input_df = pd.DataFrame(input_data)
-    eta_seconds = float(model.predict(input_df)[0])
-
-    coefs = model.get_coefficients(route_id if model.route_specific else None)
-
-    return {
-        "eta_seconds": eta_seconds,
-        "eta_minutes": eta_seconds / 60.0,
-        "eta_formatted": format_seconds(eta_seconds),
-        "model_key": model_key,
-        "model_type": "polyreg_distance",
-        "distance_to_stop_m": distance_to_stop,
-        "route_specific": metadata.get("route_specific", False),
-        "degree": metadata.get("degree"),
-        "coefficients": coefs,
-    }
diff --git a/backend/gtfs-eta/gtfs_eta/seed_baseline_model.py b/backend/gtfs-eta/gtfs_eta/seed_baseline_model.py
deleted file mode 100644
index 01a875e..0000000
--- a/backend/gtfs-eta/gtfs_eta/seed_baseline_model.py
+++ /dev/null
@@ -1,94 +0,0 @@
-"""
-seed_baseline_model.py — seed ONE global polyreg_distance model into the registry.
-
-Usage:
-    export MODEL_REGISTRY_DIR=/tmp/gtfs_eta_registry
-    python gtfs_eta/seed_baseline_model.py
-
-The script:
-  1. Builds synthetic constant-speed data (distance / 4.5 m/s ≈ urban bus avg).
-  2. Fits a PolyRegDistanceModel(degree=1, alpha=1.0, route_specific=False).
-  3. Saves it to the registry with the key 'polyreg_distance_global_baseline_v0'.
-
-MODEL_REGISTRY_DIR is read by the registry singleton; set it before running.
-"""
-
-import os
-import sys
-
-import numpy as np
-import pandas as pd
-
-# Allow running as a top-level script from the repo root
-_HERE = os.path.dirname(os.path.abspath(__file__))
-_REPO_ROOT = os.path.dirname(_HERE)
-if _REPO_ROOT not in sys.path:
-    sys.path.insert(0, _REPO_ROOT)
-
-from gtfs_eta.models.polyreg_distance.model import PolyRegDistanceModel
-from gtfs_eta.models.common.registry import get_registry
-
-# ── Constants ─────────────────────────────────────────────────────────────────
-
-MODEL_KEY = "polyreg_distance_global_baseline_v0"
-SPEED_M_S = 4.5          # urban bus average including dwell time
-N_SAMPLES = 1_000
-DISTANCE_MAX_M = 3_000
-NOISE_STD_S = 10.0       # small gaussian noise on arrival time
-RANDOM_SEED = 42
-
-
-def main() -> None:
-    rng = np.random.default_rng(RANDOM_SEED)
-
-    # Synthetic training data
-    distances = rng.uniform(0, DISTANCE_MAX_M, size=N_SAMPLES)
-    times = distances / SPEED_M_S + rng.normal(0, NOISE_STD_S, size=N_SAMPLES)
-    times = np.clip(times, 0, None)  # no negative travel times
-
-    train_df = pd.DataFrame(
-        {
-            "distance_to_stop": distances,
-            "time_to_arrival_seconds": times,
-        }
-    )
-
-    # Build and fit model
-    model = PolyRegDistanceModel(degree=1, alpha=1.0, route_specific=False)
-    model.fit(train_df)
-
-    # Verify that the global model path is available (used by predict())
-    assert model.global_model is not None, "global_model should be set after fit()"
-
-    # Quick sanity check: ETA at 1000 m should be ~222 s
-    _check_df = pd.DataFrame({"distance_to_stop": [1000.0]})
-    eta_check = float(model.predict(_check_df)[0])
-    expected = 1000.0 / SPEED_M_S
-    assert abs(eta_check - expected) < 60, (
-        f"Sanity check failed: predicted {eta_check:.1f}s, expected ~{expected:.1f}s"
-    )
-
-    # Metadata (get_best_model requires metrics.test_mae_seconds to be
-    # present and non-None)
-    metadata = {
-        "model_type": "polyreg_distance",
-        "route_id": None,           # None → registered as GLOBAL
-        "route_specific": False,
-        "degree": 1,
-        "alpha": 1.0,
-        "dataset": "synthetic_constant_speed",
-        "n_samples": N_SAMPLES,
-        "metrics": {
-            "test_mae_seconds": 30.0,
-            "test_mae_minutes": 0.5,
-        },
-    }
-
-    registry = get_registry()
-    model_path = registry.save_model(MODEL_KEY, model, metadata, overwrite=True)
-    print(f"Seeded model '{MODEL_KEY}' -> {model_path}")
-    print(f"Registry dir: {registry.base_dir}")
-
-
-if __name__ == "__main__":
-    main()
diff --git a/backend/gtfs-eta/pyproject.toml b/backend/gtfs-eta/pyproject.toml
deleted file mode 100644
index e14765e..0000000
--- a/backend/gtfs-eta/pyproject.toml
+++ /dev/null
@@ -1,22 +0,0 @@
-[build-system]
-requires = ["setuptools>=68", "wheel"]
-build-backend = "setuptools.build_meta"
-
-[project]
-name = "gtfs-eta"
-version = "0.1.0"
-description = "Namespaced ETA-prediction inference package for the SIMOVI databus"
-requires-python = ">=3.11"
-dependencies = [
-    "numpy>=1.26",
-    "pandas>=2.3",
-    "scikit-learn>=1.7",
-    "holidays>=0.40",
-]
-
-[project.optional-dependencies]
-xgboost = ["xgboost>=3.1"]
-
-[tool.setuptools.packages.find]
-where = ["."]
-include = ["gtfs_eta*"]
diff --git a/backend/pyproject.toml b/backend/pyproject.toml
index 22ad948..90cf870 100644
--- a/backend/pyproject.toml
+++ b/backend/pyproject.toml
@@ -33,6 +33,7 @@ dependencies = [
     "python-decouple>=3.8",
     "redis>=6.4.0",
     "requests>=2.32.5",
+    "xgboost>=3.4.1",
 ]
 
 [dependency-groups]
@@ -44,17 +45,55 @@ dev = [
     "watchfiles>=0.24.0",
 ]
 
+[tool.ruff]
+# gtfs-eta is a symlink to the sibling repo (see [tool.uv.sources] below), a
+# separately-maintained codebase with its own lint baseline — not databus's
+# to fix here. Config-level exclude so `ruff check .` stays clean without
+# every caller needing to remember a CLI --exclude flag.
+extend-exclude = ["gtfs-eta"]
+
 [tool.pytest.ini_options]
 DJANGO_SETTINGS_MODULE = "databus.settings"
+# gtfs-eta is a symlink to the sibling repo (see [tool.uv.sources] below),
+# not a databus package: it carries its own full test suite (collector /
+# training tests needing duckdb, sch_pipeline, its own Django app config,
+# etc.) that has nothing to do with databus and fails to even collect here.
+# The previous vendored copy was a trimmed subset with no tests, so this
+# exclude wasn't needed before.
+addopts = "--ignore=gtfs-eta"
 
 [tool.uv.workspace]
 members = [
     "gtfs-io",
     "gtfs-django",
-    "gtfs-eta",
 ]
 
 [tool.uv.sources]
-gtfs-eta = { workspace = true, editable = true }
+# gtfs-eta lives in the sibling repo (simovilab/gtfs-eta), not in this
+# workspace. `path` below is deliberately a bare, dot-free segment
+# ("gtfs-eta"), not a literal "../../gtfs-eta": uv normalizes `path` sources
+# itself before touching the filesystem, and rejects any string that walks
+# above the *container's* root (uv error: "cannot normalize a relative path
+# beyond the base directory") — which "../../gtfs-eta" does once /app (this
+# file's directory inside the container) is only one level below the
+# container's filesystem root. A literal ".." string therefore cannot work
+# identically on host and in-container.
+#
+# Fix: "gtfs-eta" here is a symlink (see backend/gtfs-eta -> ../../gtfs-eta)
+# committed in this directory. uv only ever normalizes the single path
+# segment "gtfs-eta"; walking past the symlink is then the OS's job, and the
+# OS clamps ".." at the filesystem root instead of erroring:
+#   host   : backend/gtfs-eta -> ../../gtfs-eta -> git.no_sync/gtfs-eta
+#   compose: ./backend bind-mounted at /app, so /app/gtfs-eta carries the
+#            same symlink; compose.dev.yml separately bind-mounts
+#            ../gtfs-eta:/gtfs-eta so the OS-resolved target exists there too.
+# `uv sync` runs at container start (docker-entrypoint.sh), after that mount
+# exists, not at image build time, so no build-context change is needed.
+#
+# Prod assumption: the deployment host must check out simovilab/gtfs-eta at
+# the same relative path (sibling of the databus checkout) and compose.prod.yml
+# must bind-mount it the same way as compose.dev.yml, OR this source must be
+# swapped to the published `gtfs-eta` PyPI package once it ships at release.
+gtfs-eta = { path = "gtfs-eta", editable = true }
 gtfs-io = { workspace = true, editable = true }
 gtfs-django = { workspace = true, editable = true }
diff --git a/backend/uv.lock b/backend/uv.lock
index 9fdfb4f..9b22706 100644
--- a/backend/uv.lock
+++ b/backend/uv.lock
@@ -3,10 +3,10 @@ revision = 3
 requires-python = ">=3.14"
 resolution-markers = [
     "python_full_version >= '3.15' and sys_platform == 'win32'",
-    "python_full_version < '3.15' and sys_platform == 'win32'",
     "python_full_version >= '3.15' and sys_platform == 'emscripten'",
-    "python_full_version < '3.15' and sys_platform == 'emscripten'",
     "python_full_version >= '3.15' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version < '3.15' and sys_platform == 'win32'",
+    "python_full_version < '3.15' and sys_platform == 'emscripten'",
     "python_full_version < '3.15' and sys_platform != 'emscripten' and sys_platform != 'win32'",
 ]
 
@@ -14,7 +14,6 @@ resolution-markers = [
 members = [
     "databus",
     "gtfs-django",
-    "gtfs-eta",
     "gtfs-io",
 ]
 
@@ -711,6 +710,7 @@ dependencies = [
     { name = "python-decouple" },
     { name = "redis" },
     { name = "requests" },
+    { name = "xgboost" },
 ]
 
 [package.dev-dependencies]
@@ -752,6 +752,7 @@ requires-dist = [
     { name = "python-decouple", specifier = ">=3.8" },
     { name = "redis", specifier = ">=6.4.0" },
     { name = "requests", specifier = ">=2.32.5" },
+    { name = "xgboost", specifier = ">=3.4.1" },
 ]
 
 [package.metadata.requires-dev]
@@ -1216,20 +1217,31 @@ dependencies = [
     { name = "scikit-learn" },
 ]
 
-[package.optional-dependencies]
-xgboost = [
-    { name = "xgboost" },
-]
-
 [package.metadata]
 requires-dist = [
+    { name = "celery", marker = "extra == 'collect'", specifier = ">=5.4" },
+    { name = "django", marker = "extra == 'collect'", specifier = ">=5.0" },
+    { name = "django", marker = "extra == 'train'", specifier = ">=5.0" },
+    { name = "django-environ", marker = "extra == 'collect'", specifier = ">=0.11" },
+    { name = "django-environ", marker = "extra == 'train'", specifier = ">=0.11" },
+    { name = "fastparquet", marker = "extra == 'train'", specifier = ">=2024.11.0" },
+    { name = "gtfs-eta", extras = ["train", "collect", "viz"], marker = "extra == 'all'" },
+    { name = "gtfs-realtime-bindings", marker = "extra == 'collect'", specifier = ">=1.0.0" },
     { name = "holidays", specifier = ">=0.40" },
+    { name = "matplotlib", marker = "extra == 'viz'", specifier = ">=3.9.4" },
     { name = "numpy", specifier = ">=1.26" },
-    { name = "pandas", specifier = ">=2.3" },
-    { name = "scikit-learn", specifier = ">=1.7" },
-    { name = "xgboost", marker = "extra == 'xgboost'", specifier = ">=3.1" },
+    { name = "pandas", specifier = ">=2.3.3" },
+    { name = "psycopg", extras = ["binary", "pool"], marker = "extra == 'collect'", specifier = ">=3.2.11" },
+    { name = "psycopg", extras = ["binary", "pool"], marker = "extra == 'train'", specifier = ">=3.2.11" },
+    { name = "python-dotenv", marker = "extra == 'collect'", specifier = ">=1.0" },
+    { name = "python-dotenv", marker = "extra == 'train'", specifier = ">=1.0" },
+    { name = "redis", marker = "extra == 'collect'", specifier = ">=5.0" },
+    { name = "requests", marker = "extra == 'collect'", specifier = ">=2.32" },
+    { name = "requests", marker = "extra == 'train'", specifier = ">=2.32" },
+    { name = "scikit-learn", specifier = ">=1.7.2" },
+    { name = "xgboost", marker = "extra == 'train'", specifier = ">=3.1.2" },
 ]
-provides-extras = ["xgboost"]
+provides-extras = ["train", "collect", "viz", "all"]
 
 [[package]]
 name = "gtfs-io"
@@ -1849,12 +1861,12 @@ wheels = [
 ]
 
 [[package]]
-name = "nvidia-nccl-cu12"
-version = "2.30.7"
+name = "nvidia-nccl-cu13"
+version = "2.31.2"
 source = { registry = "https://pypi.org/simple" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/8f/8c/554bb020501d6c04ad8127d83f728137f8f9123f991666efbdcf9095a221/nvidia_nccl_cu12-2.30.7-py3-none-manylinux_2_18_aarch64.whl", hash = "sha256:03ecd776fd1d58fd2c9a0a687dcf8db9ecd0057382dba646fa3d65786d4a9ea1", size = 303277471, upload-time = "2026-06-09T03:24:16.327Z" },
-    { url = "https://files.pythonhosted.org/packages/50/32/e7ffa9c324ae260e5dbb4af2cd557bf7a8d155c8ac7b79a785fe1796fb92/nvidia_nccl_cu12-2.30.7-py3-none-manylinux_2_18_x86_64.whl", hash = "sha256:8ce1b8213f61f2bfac132e6df890af6450b77cbd140c6ce4e98cb0c2d8e678c9", size = 303361239, upload-time = "2026-06-09T03:24:53.816Z" },
+    { url = "https://files.pythonhosted.org/packages/52/a0/530efd7db8857c0436868bb7df9764f09fde2bd4d1f0bae546eec9fc40d0/nvidia_nccl_cu13-2.31.2-py3-none-manylinux_2_18_aarch64.whl", hash = "sha256:b5563f8e2534f363d93ace022670ba016d3717e190ac4eba564d05fbbe8495b1", size = 252479893, upload-time = "2026-08-11T23:22:01.53Z" },
+    { url = "https://files.pythonhosted.org/packages/14/fb/94933e00bb3dcfdf66ea3456739c6a51d322353f7cc64fa1f5f660e695ac/nvidia_nccl_cu13-2.31.2-py3-none-manylinux_2_18_x86_64.whl", hash = "sha256:0bcaf0308854cb55fcc35af72e2c83143f3b71e65a4e865e2c586b1cdcdb5ae0", size = 252442223, upload-time = "2026-08-11T23:22:40.341Z" },
 ]
 
 [[package]]
@@ -3448,20 +3460,21 @@ wheels = [
 
 [[package]]
 name = "xgboost"
-version = "3.3.0"
+version = "3.4.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "numpy" },
-    { name = "nvidia-nccl-cu12", marker = "sys_platform == 'linux'" },
+    { name = "nvidia-nccl-cu13", marker = "sys_platform == 'linux'" },
     { name = "scipy" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/fd/41/846d4de2b8fc694073fd3ac5052caf68caa1ea11cb7fa32d7ad9c049b232/xgboost-3.3.0.tar.gz", hash = "sha256:58bcb8a4cace648cdab7b94fa4f16d2c9ff26d90dd4d26907168106fa06d8746", size = 1224702, upload-time = "2026-06-17T21:26:50.846Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/38/a9/295320f741c5be4be996c73ee65a2a11852028c50daa7229adb0d61c330b/xgboost-3.4.1.tar.gz", hash = "sha256:6968a4c71efdfa859df0dfcad0d99211c95c28c4ffd6aecff46efff77d18026a", size = 1231819, upload-time = "2026-08-15T08:39:21.197Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/fc/72/3b68983c0215ef65d48e9eeb1f168c3c6e3d62a61ece605de3209c79cae1/xgboost-3.3.0-py3-none-macosx_10_15_x86_64.whl", hash = "sha256:07688a377046b8640897b62421150bf73c6cc7101823474ec6ad08b93290f587", size = 2553505, upload-time = "2026-06-17T21:21:32.146Z" },
-    { url = "https://files.pythonhosted.org/packages/c9/62/b49e756822b29909d0c95ed334662dc6c7c81a99ec6bc10dc18e69f3d6e7/xgboost-3.3.0-py3-none-macosx_12_0_arm64.whl", hash = "sha256:af7cea10f418b7c251ddc8da440f57bdab2990b5fc9f74a35a92b0f150ea287d", size = 2376040, upload-time = "2026-06-17T21:22:01.981Z" },
-    { url = "https://files.pythonhosted.org/packages/47/3a/a0adcd1ee28f525bd5c9dc3ebe78a7599bf97c22866d6449f967b829e338/xgboost-3.3.0-py3-none-manylinux_2_28_aarch64.whl", hash = "sha256:624a83aeb1e7ba081719795db179f4ce6fff12e79de05cd9baf15ee48fd22f0e", size = 98180629, upload-time = "2026-06-17T21:24:00.804Z" },
-    { url = "https://files.pythonhosted.org/packages/47/1f/8b3e578cfd8e3bcdb4374e2bbe0b40b4e5320accb5cbdcf535ecc512eb5c/xgboost-3.3.0-py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:f59edaf28eccd1c519788607c72ed907ee6cedfa933d706620bc1612d24b354e", size = 98716607, upload-time = "2026-06-17T21:26:21.058Z" },
-    { url = "https://files.pythonhosted.org/packages/07/6b/087fd5d28fdbb90d385c50ee9308a820241b82feebdf42e72e19a48e4b32/xgboost-3.3.0-py3-none-win_amd64.whl", hash = "sha256:b06057f6a018fc04e6b3e0c15568ca636b8151a5b5f333478e500fcaf4fc7594", size = 69522696, upload-time = "2026-06-17T21:20:53.707Z" },
+    { url = "https://files.pythonhosted.org/packages/57/ea/0bdcd374241a86f1986e87e272516f0a70d841c3aa86aa9ca167fb651573/xgboost-3.4.1-py3-none-macosx_10_15_x86_64.whl", hash = "sha256:1ea15f15f661825b6a67d87674fb9604a1abb38dd0d4c5cf0486fc85f5203e83", size = 2541584, upload-time = "2026-08-15T08:38:48.484Z" },
+    { url = "https://files.pythonhosted.org/packages/f7/94/e5c37a8972ad780edc1d8459d1931356344ca133f7f99ba9cfda516b5bba/xgboost-3.4.1-py3-none-macosx_12_0_arm64.whl", hash = "sha256:a7afd7dbace0951c93aa85ffe046e54bc40893f5b51cd3e7991eb157bf9c7c7c", size = 2365501, upload-time = "2026-08-15T08:38:52.366Z" },
+    { url = "https://files.pythonhosted.org/packages/a7/11/4ff1f36ca5c32c642c71c88bec1508ee98b2c3b1e9eb169e8c82de303522/xgboost-3.4.1-py3-none-manylinux_2_28_aarch64.whl", hash = "sha256:7faaf99de26719c22bfae883a02bd56b5a3c2203122616e563cc72b7191b5c96", size = 57196172, upload-time = "2026-08-15T08:39:03.288Z" },
+    { url = "https://files.pythonhosted.org/packages/99/c7/bd05c5c430feb347aa040fcc8870135d70b256718deee9bc7d2ca74a77ff/xgboost-3.4.1-py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:6adf2afa396da2ae8ed30295b50b99d4712eed9a6e0ce6cfe069290e4335e51f", size = 57615456, upload-time = "2026-08-15T08:39:09.983Z" },
+    { url = "https://files.pythonhosted.org/packages/2f/3c/925394671f6a1668e2a71886de66e80be694eaf37f615cec74eefaf43107/xgboost-3.4.1-py3-none-win_amd64.whl", hash = "sha256:2d30fa513673101f542fdcbd18f30c8f96c064046f798635ac08663e9969f81b", size = 48942686, upload-time = "2026-08-15T08:39:16.182Z" },
+    { url = "https://files.pythonhosted.org/packages/90/2f/f2fbe984ca095709fd246546125e78834740f347e3aa7561a22a1e928510/xgboost-3.4.1-py3-none-win_arm64.whl", hash = "sha256:e9312b30e5679d27c1d8b9ee97e092b964d960a672d5d406d9fb3cd0845c9797", size = 2094178, upload-time = "2026-08-15T08:39:19.308Z" },
 ]
 
 [[package]]
diff --git a/compose.dev.yml b/compose.dev.yml
index 0344208..a4c17fa 100644
--- a/compose.dev.yml
+++ b/compose.dev.yml
@@ -17,6 +17,13 @@ services:
     volumes:
       - ./backend:/app
       - backend_venv:/home/app/.venv
+      # Sibling repo consumed as a uv path dependency (see
+      # backend/pyproject.toml [tool.uv.sources] gtfs-eta comment). Mounted
+      # read-write because uv's setuptools editable build writes/touches
+      # gtfs_eta.egg-info/ inside the source tree on install (a gitignored
+      # build artifact, not tracked repo content) — a read-only mount makes
+      # `uv sync` fail. databus code never otherwise writes into gtfs-eta.
+      - ../gtfs-eta:/gtfs-eta
     depends_on:
       database:
         condition: service_healthy
@@ -40,6 +47,7 @@ services:
     volumes:
       - ./backend:/app
       - backend_venv:/home/app/.venv
+      - ../gtfs-eta:/gtfs-eta
     depends_on:
       database:
         condition: service_healthy
@@ -64,6 +72,7 @@ services:
     volumes:
       - ./backend:/app
       - backend_venv:/home/app/.venv
+      - ../gtfs-eta:/gtfs-eta
     depends_on:
       database:
         condition: service_healthy
@@ -86,6 +95,7 @@ services:
     volumes:
       - ./backend:/app
       - backend_venv:/home/app/.venv
+      - ../gtfs-eta:/gtfs-eta
     depends_on:
       database:
         condition: service_healthy

From 1bfd6a2e73de20e59a948f1b00ce11badfbb809d Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 02:25:31 -0600
Subject: [PATCH 27/68] chore(eta): re-seed baseline model registry with
 relocatable paths

The old artifacts were seeded by the vendored gtfs-eta and referenced
module paths that no longer exist; the new registry stores paths
relative to the registry dir so the same files work in-container.
---
 .../polyreg_distance_global_baseline_v0.pkl     | Bin 946 -> 937 bytes
 ...olyreg_distance_global_baseline_v0_meta.json |   2 +-
 backend/eta_models/registry.json                |   2 +-
 3 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/backend/eta_models/polyreg_distance_global_baseline_v0.pkl b/backend/eta_models/polyreg_distance_global_baseline_v0.pkl
index f5334bf8defa01aa7f68a1d3256f92d15590e409..0d51760ba42fd6ec9ac8d6079b40abc0bf218b37 100644
GIT binary patch
delta 64
zcmdnQzLH(5fpzLUW(F|mk<HCdNzEzNE6C5OEJ{s}PsuDUNz6-5)hj7V%*@+pT*}16
Ruwe2krn!voCVMbv0RWKl6|w*T

delta 53
zcmZ3<zKLC|fpzL~W(F|mQA;mLD~?YsNz|LjE5VwZpOTuhQLB`R>Bs!Z3z_CJzL;#!
GoCN@(kr5*R

diff --git a/backend/eta_models/polyreg_distance_global_baseline_v0_meta.json b/backend/eta_models/polyreg_distance_global_baseline_v0_meta.json
index 628190a..1af93f2 100644
--- a/backend/eta_models/polyreg_distance_global_baseline_v0_meta.json
+++ b/backend/eta_models/polyreg_distance_global_baseline_v0_meta.json
@@ -11,6 +11,6 @@
     "test_mae_minutes": 0.5
   },
   "model_key": "polyreg_distance_global_baseline_v0",
-  "saved_at": "2026-06-25T18:06:35.423137",
+  "saved_at": "2026-08-19T00:41:44.406894",
   "model_path": "polyreg_distance_global_baseline_v0.pkl"
 }
\ No newline at end of file
diff --git a/backend/eta_models/registry.json b/backend/eta_models/registry.json
index 749de3d..d156542 100644
--- a/backend/eta_models/registry.json
+++ b/backend/eta_models/registry.json
@@ -2,7 +2,7 @@
   "polyreg_distance_global_baseline_v0": {
     "model_path": "polyreg_distance_global_baseline_v0.pkl",
     "meta_path": "polyreg_distance_global_baseline_v0_meta.json",
-    "saved_at": "2026-06-25T18:06:35.423137",
+    "saved_at": "2026-08-19T00:41:44.406894",
     "model_type": "polyreg_distance",
     "route_id": null,
     "dataset": "synthetic_constant_speed"

From 452ce102b8350b7f09e9554b9dd752e66e2559a2 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 02:39:32 -0600
Subject: [PATCH 28/68] fix(detection): quiet idempotent lifecycle-event
 re-fires from ERROR to WARNING
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Lifecycle detectors (RunStartedDetector, RunTrackingStartedDetector,
RunCompletedDetector, RunTrackingRestoredDetector, RunTrackingLostDetector,
RunTrackingExpiredDetector) already gate on the run's current
run_lifecycle_state before returning a DetectionResult, so a detection
cannot itself re-fire an event the run has already outgrown.

The observed flood instead comes from a race between concurrent
detections for the same run: two telemetry pings can both read the
pre-transition state before the first one's run_lifecycle_event task
lands, so both enqueue the same event. The second is a harmless no-op by
the time it runs — the run already reached the event's target state — but
RunLifecycleService.process_event rejects it the same way it would reject
a genuinely invalid transition, and the task logged every rejection at
ERROR with a full traceback.

Add RunLifecycleService's RunLifecycleError.errors to include the run's
current_state, and a target_state_for_event() lookup over TRANSITIONS.
run_lifecycle_event now compares the two: if the rejection's current_state
already equals the fired event's own target state, it's an idempotent
re-fire and logs a concise WARNING instead of ERROR+traceback. Genuine
invalid transitions are unaffected.
---
 backend/realtime_engine/tasks.py              |  24 +++-
 .../tests/test_lifecycle_event_task.py        |  82 ++++++++++++++
 .../detection/tests/test_dispatch_impure.py   | 105 ++++++++++++++++++
 backend/runs/domain/lifecycle/__init__.py     |   3 +
 .../lifecycle/tests/test_transitions.py       |  46 ++++++++
 backend/runs/domain/lifecycle/transitions.py  |  15 +++
 backend/runs/services/lifecycle.py            |   1 +
 7 files changed, 275 insertions(+), 1 deletion(-)
 create mode 100644 backend/realtime_engine/tests/test_lifecycle_event_task.py
 create mode 100644 backend/runs/domain/detection/tests/test_dispatch_impure.py
 create mode 100644 backend/runs/domain/lifecycle/tests/test_transitions.py

diff --git a/backend/realtime_engine/tasks.py b/backend/realtime_engine/tasks.py
index 93c1c85..9975954 100644
--- a/backend/realtime_engine/tasks.py
+++ b/backend/realtime_engine/tasks.py
@@ -21,7 +21,8 @@
 
 @shared_task(queue="realtime_engine")
 def run_lifecycle_event(event: str, payload: dict[str, Any]) -> None:
-    from runs.domain.lifecycle import RunLifecycleEvents
+    from runs.domain.lifecycle import RunLifecycleEvents, target_state_for_event
+    from runs.services.exceptions import RunLifecycleError
 
     service = RunLifecycleService()
     try:
@@ -31,6 +32,27 @@ def run_lifecycle_event(event: str, payload: dict[str, Any]) -> None:
         return
     try:
         service.process_event(evt, payload)
+    except RunLifecycleError as exc:
+        # Detectors already gate on current run state before firing, but a
+        # detection can still lose a race against an in-flight transition for
+        # the same run (e.g. two position pings both see "Tracking" before the
+        # first RUN_STARTED lands). When that happens the run has already
+        # reached this event's target state by the time this dispatch runs —
+        # a harmless no-op re-fire, not a real failure. Genuine invalid
+        # transitions (target state unresolved/mismatched) still log loudly.
+        target_state = target_state_for_event(evt)
+        current_state = exc.errors.get("current_state")
+        if target_state is not None and current_state == target_state.value:
+            logger.warning(
+                "Lifecycle event %s for run %s: no-op re-fire, run already %s",
+                event,
+                payload.get("run_id"),
+                current_state,
+            )
+        else:
+            logger.exception(
+                "Lifecycle event %s failed for run %s", event, payload.get("run_id")
+            )
     except Exception:
         logger.exception(
             "Lifecycle event %s failed for run %s", event, payload.get("run_id")
diff --git a/backend/realtime_engine/tests/test_lifecycle_event_task.py b/backend/realtime_engine/tests/test_lifecycle_event_task.py
new file mode 100644
index 0000000..ab2d694
--- /dev/null
+++ b/backend/realtime_engine/tests/test_lifecycle_event_task.py
@@ -0,0 +1,82 @@
+"""Unit tests for ``run_lifecycle_event``'s WARNING-vs-ERROR branching.
+
+Detectors already gate on the run's current state before firing (see
+``runs/domain/detection/tests/``), but a detection can still lose a race
+against an in-flight transition for the same run — two detections both read
+the pre-transition state before the first one's ``run_lifecycle_event`` task
+lands. When the *second* one is then processed, the run has already reached
+its target state and ``RunLifecycleService.process_event`` rejects it as
+"no valid transition". That rejection is a harmless no-op, not a bug, so it
+must log at WARNING with a concise message — not ERROR with a traceback.
+A rejection where the run is nowhere near the event's target state is a
+genuine invalid transition and must stay loud.
+
+``RunLifecycleService.process_event`` is mocked; only the task's own
+exception handling is under test here.
+"""
+
+import logging
+from unittest.mock import patch
+
+import realtime_engine.tasks as tasks_module
+from runs.services.exceptions import RunLifecycleError
+
+RUN_ID = "run-flood-1"
+LOGGER_NAME = "realtime_engine.tasks"
+
+
+def _rejection(current_state: str) -> RunLifecycleError:
+    return RunLifecycleError(
+        {
+            "detail": "No valid transition for event 'run_started' from state "
+            f"'{current_state}'.",
+            "attempts": [],
+            "current_state": current_state,
+        }
+    )
+
+
+def test_idempotent_refire_logs_warning_not_error(caplog):
+    """run_started rejected because the run is already IN_PROGRESS (its own
+    target state) is a race-condition no-op."""
+    with patch.object(
+        tasks_module.RunLifecycleService,
+        "process_event",
+        side_effect=_rejection("In Progress"),
+    ):
+        with caplog.at_level(logging.WARNING, logger=LOGGER_NAME):
+            tasks_module.run_lifecycle_event("run_started", {"run_id": RUN_ID})
+
+    levels = [r.levelno for r in caplog.records]
+    assert logging.WARNING in levels
+    assert logging.ERROR not in levels and logging.CRITICAL not in levels
+
+
+def test_genuine_invalid_transition_still_logs_error(caplog):
+    """run_started rejected while the run is somewhere run_started could
+    never have led it (still CONFIRMED, never TRACKING) is a real bug."""
+    with patch.object(
+        tasks_module.RunLifecycleService,
+        "process_event",
+        side_effect=_rejection("Confirmed"),
+    ):
+        with caplog.at_level(logging.WARNING, logger=LOGGER_NAME):
+            tasks_module.run_lifecycle_event("run_started", {"run_id": RUN_ID})
+
+    levels = [r.levelno for r in caplog.records]
+    assert logging.ERROR in levels
+
+
+def test_unrelated_exception_still_logs_error(caplog):
+    """Non-lifecycle failures (e.g. the run row vanished) are unaffected by
+    the idempotent-refire carve-out."""
+    with patch.object(
+        tasks_module.RunLifecycleService,
+        "process_event",
+        side_effect=RuntimeError("boom"),
+    ):
+        with caplog.at_level(logging.WARNING, logger=LOGGER_NAME):
+            tasks_module.run_lifecycle_event("run_started", {"run_id": RUN_ID})
+
+    levels = [r.levelno for r in caplog.records]
+    assert logging.ERROR in levels
diff --git a/backend/runs/domain/detection/tests/test_dispatch_impure.py b/backend/runs/domain/detection/tests/test_dispatch_impure.py
new file mode 100644
index 0000000..3bcc631
--- /dev/null
+++ b/backend/runs/domain/detection/tests/test_dispatch_impure.py
@@ -0,0 +1,105 @@
+"""Regression coverage for the impure dispatch wrapper's state gate.
+
+Detectors are pure functions of (state, telemetry) and already refuse to
+recognize an event that the run's current lifecycle state makes invalid
+(see ``test_detectors.py``). This module checks the same guarantee one layer
+up, at the impure wrapper that actually reads Redis and enqueues the
+lifecycle Celery task — i.e. that a run which already reached an event's
+target state does not get that event re-dispatched by further telemetry or
+scan ticks. This is the exact "flood of ERROR logs" symptom the gate closes:
+without it, ``run_lifecycle_event`` would repeatedly reject the event with
+``RunLifecycleError`` for a state the run has already left behind.
+
+Redis is mocked (module-level ``dispatch.r``); ``run_lifecycle_event.delay``
+is mocked so no Celery broker/Django DB access is needed.
+"""
+
+from unittest.mock import MagicMock, patch
+
+import runs.domain.detection.dispatch as dispatch_module
+from runs.domain.detection.dispatch import detect_from_scan, detect_from_telemetry
+from runs.domain.lifecycle.states import RunLifecycleStates
+
+RUN_ID = "run-1"
+VEHICLE_ID = "veh-1"
+
+
+def _fake_redis(lifecycle_state: str) -> MagicMock:
+    r = MagicMock()
+    r.hget.return_value = lifecycle_state
+    return r
+
+
+def test_run_started_not_redispatched_when_already_in_progress(monkeypatch):
+    """A moving-speed position update for a run already IN_PROGRESS must not
+    re-fire run_started (the reported defect)."""
+    monkeypatch.setattr(
+        dispatch_module, "r", _fake_redis(RunLifecycleStates.IN_PROGRESS.value)
+    )
+
+    with patch("realtime_engine.tasks.run_lifecycle_event.delay") as mock_delay:
+        detect_from_telemetry(RUN_ID, VEHICLE_ID, "position", {"speed": 12.0})
+
+    mock_delay.assert_not_called()
+
+
+def test_run_started_still_fires_from_tracking(monkeypatch):
+    """Sanity check: the legitimate predecessor state still fires — the gate
+    above isn't vacuously true."""
+    monkeypatch.setattr(
+        dispatch_module, "r", _fake_redis(RunLifecycleStates.TRACKING.value)
+    )
+
+    with patch("realtime_engine.tasks.run_lifecycle_event.delay") as mock_delay:
+        detect_from_telemetry(RUN_ID, VEHICLE_ID, "position", {"speed": 12.0})
+
+    mock_delay.assert_called_once()
+    args, _ = mock_delay.call_args
+    assert args[0] == "run_started"
+
+
+def test_run_tracking_started_not_redispatched_when_already_tracking(monkeypatch):
+    """Any telemetry for a run already TRACKING must not re-fire
+    run_tracking_started."""
+    monkeypatch.setattr(
+        dispatch_module, "r", _fake_redis(RunLifecycleStates.TRACKING.value)
+    )
+
+    with patch("realtime_engine.tasks.run_lifecycle_event.delay") as mock_delay:
+        detect_from_telemetry(RUN_ID, VEHICLE_ID, "occupancy", {})
+
+    mock_delay.assert_not_called()
+
+
+def test_run_completed_not_redispatched_when_already_completed(monkeypatch):
+    """A STOPPED_AT-at-terminal progression update for a run already
+    COMPLETED must not re-fire run_completed."""
+    monkeypatch.setattr(
+        dispatch_module, "r", _fake_redis(RunLifecycleStates.COMPLETED.value)
+    )
+
+    with patch("realtime_engine.tasks.run_lifecycle_event.delay") as mock_delay:
+        detect_from_telemetry(
+            RUN_ID,
+            VEHICLE_ID,
+            "progression",
+            {"current_status": "STOPPED_AT", "stop_id": "TERM-1"},
+        )
+
+    mock_delay.assert_not_called()
+
+
+def test_scan_no_periodic_event_once_run_is_terminal(monkeypatch):
+    """A stray staleness-scan tick for a run that already reached a terminal
+    state (e.g. CANCELLED after expiry) must not fire any periodic event."""
+    monkeypatch.setattr(
+        dispatch_module, "r", _fake_redis(RunLifecycleStates.CANCELLED.value)
+    )
+
+    with patch("realtime_engine.tasks.run_lifecycle_event.delay") as mock_delay:
+        fired = detect_from_scan(
+            RUN_ID, staleness_s=9999, raw_last_seen="2026-01-01T00:00:00+00:00"
+        )
+
+    assert fired == 0
+    mock_delay.assert_not_called()
diff --git a/backend/runs/domain/lifecycle/__init__.py b/backend/runs/domain/lifecycle/__init__.py
index 88f3cf1..2f3d6b8 100644
--- a/backend/runs/domain/lifecycle/__init__.py
+++ b/backend/runs/domain/lifecycle/__init__.py
@@ -11,6 +11,7 @@
     "RunLifecycleGuards",
     "Transition",
     "TRANSITIONS",
+    "target_state_for_event",
 ]
 
 
@@ -20,12 +21,14 @@ def __getattr__(name: str):
         "RunLifecycleGuards",
         "Transition",
         "TRANSITIONS",
+        "target_state_for_event",
     }:
         module_name = {
             "RunLifecycleActions": "actions",
             "RunLifecycleGuards": "guards",
             "Transition": "transitions",
             "TRANSITIONS": "transitions",
+            "target_state_for_event": "transitions",
         }[name]
         module = import_module(f"{__name__}.{module_name}")
         return getattr(module, name)
diff --git a/backend/runs/domain/lifecycle/tests/test_transitions.py b/backend/runs/domain/lifecycle/tests/test_transitions.py
new file mode 100644
index 0000000..f8a5b5b
--- /dev/null
+++ b/backend/runs/domain/lifecycle/tests/test_transitions.py
@@ -0,0 +1,46 @@
+"""Unit tests for ``target_state_for_event``.
+
+Used by ``realtime_engine.tasks.run_lifecycle_event`` to recognize an
+idempotent event re-fire (the run already reached the event's target state
+via a race-winning duplicate detection) versus a genuinely invalid
+transition. Pure function over the ``TRANSITIONS`` table — no Redis/DB.
+"""
+
+import pytest
+
+from runs.domain.lifecycle.events import RunLifecycleEvents
+from runs.domain.lifecycle.states import RunLifecycleStates
+from runs.domain.lifecycle.transitions import target_state_for_event
+
+
+@pytest.mark.parametrize(
+    "event,expected",
+    [
+        (RunLifecycleEvents.VALIDATE_RUN, RunLifecycleStates.VALIDATED),
+        (RunLifecycleEvents.INITIALIZE_RUN, RunLifecycleStates.INITIALIZED),
+        (
+            RunLifecycleEvents.RUN_CONFIRMED_BY_OPERATOR,
+            RunLifecycleStates.CONFIRMED,
+        ),
+        (RunLifecycleEvents.RUN_TRACKING_STARTED, RunLifecycleStates.TRACKING),
+        (RunLifecycleEvents.RUN_STARTED, RunLifecycleStates.IN_PROGRESS),
+        (RunLifecycleEvents.RUN_COMPLETED, RunLifecycleStates.COMPLETED),
+        (RunLifecycleEvents.RUN_TRACKING_RESTORED, RunLifecycleStates.IN_PROGRESS),
+        (RunLifecycleEvents.RUN_TRACKING_LOST, RunLifecycleStates.NO_SIGNAL),
+        (RunLifecycleEvents.RUN_TRACKING_EXPIRED, RunLifecycleStates.CANCELLED),
+        (RunLifecycleEvents.RUN_INTERRUPTED, RunLifecycleStates.INTERRUPTED),
+        (RunLifecycleEvents.RUN_SHORT_TURNED, RunLifecycleStates.SHORT_TURNED),
+        # Appears from three different from_states but always lands CANCELLED
+        # — still unambiguous.
+        (RunLifecycleEvents.RUN_REJECTED, RunLifecycleStates.CANCELLED),
+        (RunLifecycleEvents.CANCEL_RUN, RunLifecycleStates.CANCELLED),
+    ],
+)
+def test_target_state_for_event_unambiguous(event, expected):
+    assert target_state_for_event(event) == expected
+
+
+def test_target_state_for_event_returns_none_when_event_has_no_transitions():
+    # RUN_REQUESTED never appears in TRANSITIONS — REQUESTED is the model's
+    # own default, not reached via a transition.
+    assert target_state_for_event(RunLifecycleEvents.RUN_REQUESTED) is None
diff --git a/backend/runs/domain/lifecycle/transitions.py b/backend/runs/domain/lifecycle/transitions.py
index 535cfe0..5b97d24 100644
--- a/backend/runs/domain/lifecycle/transitions.py
+++ b/backend/runs/domain/lifecycle/transitions.py
@@ -240,3 +240,18 @@ class Transition:
         ],
     ),
 ]
+
+
+def target_state_for_event(event: RunLifecycleEvents) -> RunLifecycleStates | None:
+    """The state ``event`` deterministically leads to, if unambiguous.
+
+    Used to tell an idempotent re-fire (the event's dispatch lost a race and
+    the run already reached this event's target state) apart from a genuine
+    invalid transition. Returns ``None`` when ``event`` has no transitions, or
+    maps to more than one distinct ``to_state`` — callers should not guess in
+    that case.
+    """
+    to_states = {t.to_state for t in TRANSITIONS if t.event == event}
+    if len(to_states) == 1:
+        return next(iter(to_states))
+    return None
diff --git a/backend/runs/services/lifecycle.py b/backend/runs/services/lifecycle.py
index caf0e9a..297d95f 100644
--- a/backend/runs/services/lifecycle.py
+++ b/backend/runs/services/lifecycle.py
@@ -40,6 +40,7 @@ def process_event(
             {
                 "detail": f"No valid transition for event '{event}' from state '{run.run_lifecycle_state}'.",
                 "attempts": attempts,
+                "current_state": run.run_lifecycle_state,
             }
         )
 

From 03391fe94f57a8ef2b287d7414fa3fc92cbd99d2 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 02:53:08 -0600
Subject: [PATCH 29/68] fix(realtime): stop fetch_positions from starving the
 worker pool

fetch_positions polled every ACTIVE HTTP position sensor on every 10s
beat tick regardless of whether its vehicle was in service, filtering
to in-service readings only after paying the full HTTP round trip. With
several ACTIVE sensors pointed at a slow/unreachable host (10s read
timeout each, sequential), tasks piled up faster than beat retired them
and occupied every prefork worker slot, starving process_position_update
and stalling the telemetry -> ETA -> TripUpdates pipeline.

- Pre-fetch filter: skip a sensor (never call it over HTTP) unless its
  own equipment/vehicle is in the in-service set built from
  vehicle:<id>:current_run. Sensors with no equipment or no vehicle are
  also skipped. Logs active-vs-fetched counts. The post-fetch in-service
  filter is kept unchanged: a fleet-endpoint adapter (NavSat) can return
  many vehicles' readings from one sensor's URL, so a sensor whose own
  vehicle is out of service but whose URL also serves other in-service
  vehicles will now never be called -- an accepted trade-off, documented
  in the task docstring.
- Beat schedule: add options.expires=10 to the fetch-positions entry so
  a task that couldn't start within its own cycle is revoked instead of
  queuing up behind a slow tick.
- Bound task runtime with soft_time_limit=25 plus explicit
  SoftTimeLimitExceeded handling that logs the in-flight sensor and
  returns early instead of propagating (and instead of being silently
  absorbed by the per-sensor except Exception, which would otherwise
  keep the loop going since SoftTimeLimitExceeded subclasses Exception).
- Reduce the HTTP adapter's per-request timeout from 10s to 5s.

Extends test_fetch_positions.py: sensor with an out-of-service vehicle
is never fetched; sensor with no equipment/vehicle is skipped; an
in-service sensor alongside an out-of-service one is still fetched and
published; a mid-loop SoftTimeLimitExceeded logs and returns cleanly.
---
 backend/databus/celery.py                     |   6 +
 backend/realtime_engine/sources/http_json.py  |   2 +-
 backend/realtime_engine/tasks.py              | 121 +++++++++++---
 .../tests/test_fetch_positions.py             | 148 ++++++++++++++++++
 4 files changed, 251 insertions(+), 26 deletions(-)

diff --git a/backend/databus/celery.py b/backend/databus/celery.py
index 9b21311..f9fb31b 100644
--- a/backend/databus/celery.py
+++ b/backend/databus/celery.py
@@ -49,6 +49,12 @@ def debug_task(self):
     "fetch-positions": {
         "task": "realtime_engine.tasks.fetch_positions",
         "schedule": timedelta(seconds=10),
+        # A task that couldn't even start within its own 10s cycle is stale
+        # by the time a worker slot frees up -- revoke it instead of letting
+        # queued fetch_positions runs pile up behind a slow/unreachable
+        # source (see fetch_positions' soft_time_limit for the in-flight
+        # bound on runs that DO start).
+        "options": {"expires": 10},
     },
     "build-schedule-daily": {
         "task": "schedule_engine.tasks.build_schedule",
diff --git a/backend/realtime_engine/sources/http_json.py b/backend/realtime_engine/sources/http_json.py
index 11ddf50..c3e7999 100644
--- a/backend/realtime_engine/sources/http_json.py
+++ b/backend/realtime_engine/sources/http_json.py
@@ -42,7 +42,7 @@
 
 logger = logging.getLogger(__name__)
 
-DEFAULT_TIMEOUT_S = 10
+DEFAULT_TIMEOUT_S = 5
 
 
 def _convert_unit(field: str, value, units: dict):
diff --git a/backend/realtime_engine/tasks.py b/backend/realtime_engine/tasks.py
index 9975954..6b38d5c 100644
--- a/backend/realtime_engine/tasks.py
+++ b/backend/realtime_engine/tasks.py
@@ -5,6 +5,7 @@
 
 import redis
 from celery import shared_task
+from celery.exceptions import SoftTimeLimitExceeded
 from django.utils.timezone import now
 
 from runs.services.lifecycle import RunLifecycleService
@@ -88,7 +89,7 @@ def scan_stale_runs() -> str:
     return f"scan_stale_runs: checked {len(run_ids)} runs, fired {fired} events"
 
 
-@shared_task(queue="realtime_engine")
+@shared_task(queue="realtime_engine", soft_time_limit=25)
 def fetch_positions() -> str:
     """Poll active HTTP telemetry sources and publish in-service vehicle positions.
 
@@ -101,11 +102,37 @@ def fetch_positions() -> str:
        delivering that telemetry is exactly this task's job.
     2. Query ACTIVE sensors that provide position data over HTTP (source_type
        "http" or "both" both use the "http" adapter).
-    3. Fetch each sensor's readings, keep only the ones for in-service
-       vehicles, and publish the survivors on ``transit/vehicle/<id>/position``.
+    3. Pre-fetch filter: skip a sensor entirely -- never issue the HTTP call
+       -- when its own ``equipment.vehicle`` is not in the in-service set (or
+       the sensor has no equipment, or the equipment has no vehicle). This is
+       what stops the task from paying the full HTTP cost of every ACTIVE
+       sensor on every 10s tick regardless of whether anything behind it is
+       actually in service; previously, e.g. 6 ACTIVE sensors pointed at a
+       slow/unreachable host could occupy every worker slot and starve
+       ``process_position_update``.
+
+       CAVEAT (NavSat and similar fleet endpoints): some adapters can return
+       readings for MANY vehicles from a single sensor's URL, not only the
+       vehicle named by that sensor's own ``equipment.vehicle``. This
+       pre-fetch filter only decides whether to CALL a given sensor -- it
+       has no way to know what a fleet endpoint might actually return. A
+       sensor whose own vehicle is out of service, but whose fleet endpoint
+       would otherwise have served *other* in-service vehicles' positions,
+       is now skipped entirely, and those vehicles' positions are missed via
+       this sensor until it (or some other covering sensor) is in service
+       again. Accepted trade-off -- see the commit message / task report for
+       the reasoning.
+    4. Fetch each remaining sensor's readings, keep only the ones for
+       in-service vehicles (the *post*-fetch filter -- unaffected by the
+       above; still required to handle the fleet-endpoint case), and publish
+       the survivors on ``transit/vehicle/<id>/position``.
 
     Each sensor is fetched independently inside its own try/except so one
-    failing source can't sink the rest of the poll.
+    failing source can't sink the rest of the poll. The task also carries a
+    ``soft_time_limit`` so a single pathological source (e.g. a host that
+    hangs on every request) can never hold a worker slot indefinitely: on
+    ``SoftTimeLimitExceeded`` the sensor that was in flight is logged and the
+    task returns early instead of propagating the exception.
     """
     from operations.models import Sensor
     from runs.domain.telemetry import keys
@@ -120,30 +147,73 @@ def fetch_positions() -> str:
         for key in redis_client.scan_iter(match=keys.current_run_key("*"))
     }
 
-    sensors = Sensor.objects.filter(
-        status="ACTIVE",
-        provides_position=True,
-        source_type__in=["http", "both"],
-    ).select_related("equipment__vehicle")
+    sensors = list(
+        Sensor.objects.filter(
+            status="ACTIVE",
+            provides_position=True,
+            source_type__in=["http", "both"],
+        ).select_related("equipment__vehicle")
+    )
+
+    def _sensor_vehicle_id(sensor) -> str | None:
+        equipment = getattr(sensor, "equipment", None)
+        if equipment is None:
+            return None
+        vehicle_id = getattr(equipment, "vehicle_id", None)
+        return str(vehicle_id) if vehicle_id is not None else None
+
+    sensors_to_fetch = [
+        sensor
+        for sensor in sensors
+        if (vid := _sensor_vehicle_id(sensor)) is not None
+        and vid in in_service_vehicle_ids
+    ]
+
+    logger.info(
+        "fetch_positions: %d active HTTP position sensor(s), %d have an "
+        "in-service vehicle and will be fetched",
+        len(sensors),
+        len(sensors_to_fetch),
+    )
 
     readings: list[tuple[str, dict]] = []
-    sensor_count = 0
     failure_count = 0
-    for sensor in sensors:
-        sensor_count += 1
-        try:
-            adapter = get_adapter("http")
-            fetched = adapter.fetch(sensor)
-        except Exception:
-            failure_count += 1
-            logger.exception(
-                "Position fetch failed for sensor %s", getattr(sensor, "id", "?")
-            )
-            continue
+    in_flight_sensor_id: object = None
+    try:
+        for sensor in sensors_to_fetch:
+            in_flight_sensor_id = getattr(sensor, "id", "?")
+            try:
+                adapter = get_adapter("http")
+                fetched = adapter.fetch(sensor)
+            except SoftTimeLimitExceeded:
+                # Never let the blanket `except Exception` below swallow
+                # this -- it must propagate to the outer handler so the loop
+                # actually stops instead of moving on to the next sensor.
+                raise
+            except Exception:
+                failure_count += 1
+                logger.exception(
+                    "Position fetch failed for sensor %s", in_flight_sensor_id
+                )
+                continue
 
-        for vehicle_id, payload in fetched:
-            if vehicle_id in in_service_vehicle_ids:
-                readings.append((vehicle_id, payload))
+            for vehicle_id, payload in fetched:
+                if vehicle_id in in_service_vehicle_ids:
+                    readings.append((vehicle_id, payload))
+    except SoftTimeLimitExceeded:
+        logger.warning(
+            "fetch_positions hit its soft time limit while sensor %s was "
+            "in flight (%d/%d sensors fetched before the limit); returning "
+            "early without publishing",
+            in_flight_sensor_id,
+            len(readings),
+            len(sensors_to_fetch),
+        )
+        return (
+            f"fetch_positions: soft time limit exceeded while fetching "
+            f"sensor {in_flight_sensor_id}; polled {len(sensors)} sensors, "
+            f"{len(sensors_to_fetch)} eligible"
+        )
 
     if readings:
         try:
@@ -153,7 +223,8 @@ def fetch_positions() -> str:
             logger.exception("Failed to publish fetched positions batch")
 
     return (
-        f"fetch_positions: polled {sensor_count} sensors, "
+        f"fetch_positions: polled {len(sensors)} sensors, "
+        f"{len(sensors_to_fetch)} fetched, "
         f"{failure_count} failures, published {len(readings)} positions"
     )
 
diff --git a/backend/realtime_engine/tests/test_fetch_positions.py b/backend/realtime_engine/tests/test_fetch_positions.py
index a91d3a0..91fdc96 100644
--- a/backend/realtime_engine/tests/test_fetch_positions.py
+++ b/backend/realtime_engine/tests/test_fetch_positions.py
@@ -20,6 +20,8 @@
 from types import SimpleNamespace
 from unittest.mock import MagicMock
 
+from celery.exceptions import SoftTimeLimitExceeded
+
 from operations.models import Sensor
 
 import realtime_engine.sources as sources_module
@@ -174,3 +176,149 @@ def test_fetch_positions_queries_only_active_http_position_sensors(monkeypatch):
     manager.filter.return_value.select_related.assert_called_once_with(
         "equipment__vehicle"
     )
+
+
+# ---------------------------------------------------------------------------
+# Pre-fetch filter: a sensor is never even called over HTTP unless its own
+# equipment/vehicle is in service.
+# ---------------------------------------------------------------------------
+
+
+def test_fetch_positions_never_fetches_sensor_with_out_of_service_vehicle(monkeypatch):
+    fake_r = _fake_redis()  # only IN_SERVICE_VEHICLE_ID is in service
+    monkeypatch.setattr(tasks_module, "redis_client", fake_r)
+
+    out_of_service_sensor = SimpleNamespace(
+        id="sensor-oos",
+        source_http_url="http://example.test/positions",
+        source_json_mapping={},
+        equipment=SimpleNamespace(vehicle_id=OUT_OF_SERVICE_VEHICLE_ID),
+    )
+    monkeypatch.setattr(
+        Sensor, "objects", _fake_sensor_manager([out_of_service_sensor])
+    )
+
+    fake_adapter = MagicMock()
+    monkeypatch.setattr(sources_module, "get_adapter", lambda kind: fake_adapter)
+
+    fake_publisher = MagicMock()
+    monkeypatch.setattr(publisher_module, "MqttPublisher", lambda: fake_publisher)
+
+    result = fetch_positions()
+
+    fake_adapter.fetch.assert_not_called()
+    fake_publisher.publish_batch.assert_not_called()
+    assert "polled 1 sensors" in result
+    assert "0 fetched" in result
+
+
+def test_fetch_positions_skips_sensor_with_no_equipment_or_vehicle(monkeypatch):
+    fake_r = _fake_redis()
+    monkeypatch.setattr(tasks_module, "redis_client", fake_r)
+
+    no_equipment_sensor = SimpleNamespace(
+        id="sensor-no-equipment",
+        source_http_url="http://example.test/positions",
+        source_json_mapping={},
+        equipment=None,
+    )
+    no_vehicle_sensor = SimpleNamespace(
+        id="sensor-no-vehicle",
+        source_http_url="http://example.test/positions",
+        source_json_mapping={},
+        equipment=SimpleNamespace(vehicle_id=None),
+    )
+    monkeypatch.setattr(
+        Sensor,
+        "objects",
+        _fake_sensor_manager([no_equipment_sensor, no_vehicle_sensor]),
+    )
+
+    fake_adapter = MagicMock()
+    monkeypatch.setattr(sources_module, "get_adapter", lambda kind: fake_adapter)
+
+    fake_publisher = MagicMock()
+    monkeypatch.setattr(publisher_module, "MqttPublisher", lambda: fake_publisher)
+
+    result = fetch_positions()
+
+    fake_adapter.fetch.assert_not_called()
+    fake_publisher.publish_batch.assert_not_called()
+    assert "polled 2 sensors" in result
+    assert "0 fetched" in result
+
+
+def test_fetch_positions_still_fetches_and_publishes_in_service_sensor(monkeypatch):
+    """An in-service sensor is fetched and published even when another,
+    out-of-service sensor is present and correctly skipped."""
+    fake_r = _fake_redis()
+    monkeypatch.setattr(tasks_module, "redis_client", fake_r)
+
+    in_service_sensor = _make_sensor(sensor_id="sensor-in-service")
+    out_of_service_sensor = SimpleNamespace(
+        id="sensor-oos",
+        source_http_url="http://example.test/positions",
+        source_json_mapping={},
+        equipment=SimpleNamespace(vehicle_id=OUT_OF_SERVICE_VEHICLE_ID),
+    )
+    monkeypatch.setattr(
+        Sensor,
+        "objects",
+        _fake_sensor_manager([in_service_sensor, out_of_service_sensor]),
+    )
+
+    fake_adapter = MagicMock()
+    fake_adapter.fetch.return_value = [
+        (IN_SERVICE_VEHICLE_ID, {"latitude": 1.0, "longitude": 2.0}),
+    ]
+    monkeypatch.setattr(sources_module, "get_adapter", lambda kind: fake_adapter)
+
+    fake_publisher = MagicMock()
+    monkeypatch.setattr(publisher_module, "MqttPublisher", lambda: fake_publisher)
+
+    result = fetch_positions()
+
+    fake_adapter.fetch.assert_called_once_with(in_service_sensor)
+    fake_publisher.publish_batch.assert_called_once()
+    (published_records,), _ = fake_publisher.publish_batch.call_args
+    assert [vid for vid, _ in published_records] == [IN_SERVICE_VEHICLE_ID]
+    assert "polled 2 sensors" in result
+    assert "1 fetched" in result
+
+
+# ---------------------------------------------------------------------------
+# soft_time_limit: a pathological source can't hold the task open forever.
+# ---------------------------------------------------------------------------
+
+
+def test_fetch_positions_handles_soft_time_limit_mid_loop(monkeypatch, caplog):
+    fake_r = _fake_redis()
+    monkeypatch.setattr(tasks_module, "redis_client", fake_r)
+
+    sensor_a = _make_sensor(sensor_id="sensor-a")
+    sensor_b = _make_sensor(sensor_id="sensor-b")
+    monkeypatch.setattr(
+        Sensor, "objects", _fake_sensor_manager([sensor_a, sensor_b])
+    )
+
+    fake_adapter = MagicMock()
+
+    def _fetch(sensor):
+        if sensor.id == "sensor-a":
+            raise SoftTimeLimitExceeded()
+        return [(IN_SERVICE_VEHICLE_ID, {"latitude": 1.0, "longitude": 2.0})]
+
+    fake_adapter.fetch.side_effect = _fetch
+    monkeypatch.setattr(sources_module, "get_adapter", lambda kind: fake_adapter)
+
+    fake_publisher = MagicMock()
+    monkeypatch.setattr(publisher_module, "MqttPublisher", lambda: fake_publisher)
+
+    with caplog.at_level("WARNING"):
+        result = fetch_positions()
+
+    # The loop stopped at sensor-a; sensor-b was never reached.
+    assert fake_adapter.fetch.call_count == 1
+    fake_publisher.publish_batch.assert_not_called()
+    assert "sensor-a" in caplog.text
+    assert "soft time limit" in result.lower()

From dded0fff8b2a0410fe6273f804eacbaecc45f4b1 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 02:53:16 -0600
Subject: [PATCH 30/68] build(eta): drop direct xgboost dependency (gtfs-eta
 imports it lazily now)

gtfs-eta commit 0a7c551 (refactor(models): lazy-import training deps so
inference needs no xgboost) made models/__init__.py resolve
train_all_models via a PEP 562 __getattr__ instead of an eager import,
so plain `import gtfs_eta` / the inference path
(eta_service.estimator -> models.common.registry /
models.*.predict) no longer chains into xgb.train -> xgboost.
xgboost was only ever added to databus's own dependencies to satisfy
that old eager import; gtfs-eta's own pyproject.toml already keeps it
behind its optional `train` extra, not its core dependencies.

Removed the direct xgboost entry from [project.dependencies] and ran
`uv lock` -- xgboost (and its dependent nvidia-nccl-cu13) dropped
cleanly out of the resolved graph with no other package pulling it in
transitively.

Verified: `from runs.domain.progression import stop_times; import
gtfs_eta.eta_service.estimator` leaves 'xgboost' out of sys.modules.
---
 backend/pyproject.toml |  1 -
 backend/uv.lock        | 30 ------------------------------
 2 files changed, 31 deletions(-)

diff --git a/backend/pyproject.toml b/backend/pyproject.toml
index 90cf870..8b3dc5c 100644
--- a/backend/pyproject.toml
+++ b/backend/pyproject.toml
@@ -33,7 +33,6 @@ dependencies = [
     "python-decouple>=3.8",
     "redis>=6.4.0",
     "requests>=2.32.5",
-    "xgboost>=3.4.1",
 ]
 
 [dependency-groups]
diff --git a/backend/uv.lock b/backend/uv.lock
index 9b22706..b371b98 100644
--- a/backend/uv.lock
+++ b/backend/uv.lock
@@ -710,7 +710,6 @@ dependencies = [
     { name = "python-decouple" },
     { name = "redis" },
     { name = "requests" },
-    { name = "xgboost" },
 ]
 
 [package.dev-dependencies]
@@ -752,7 +751,6 @@ requires-dist = [
     { name = "python-decouple", specifier = ">=3.8" },
     { name = "redis", specifier = ">=6.4.0" },
     { name = "requests", specifier = ">=2.32.5" },
-    { name = "xgboost", specifier = ">=3.4.1" },
 ]
 
 [package.metadata.requires-dev]
@@ -1860,15 +1858,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/43/bb/e1c71a4295b1b1d1393d50dbb4f2a36283c6859d9d3892e84f00ec5a91d5/numpy-2.4.6-cp314-cp314t-win_arm64.whl", hash = "sha256:0c9136e14ed34a9e343a31c533d78a9813a69a3148332bce5e9821cb2f996e66", size = 10565867, upload-time = "2026-05-18T23:36:47.114Z" },
 ]
 
-[[package]]
-name = "nvidia-nccl-cu13"
-version = "2.31.2"
-source = { registry = "https://pypi.org/simple" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/52/a0/530efd7db8857c0436868bb7df9764f09fde2bd4d1f0bae546eec9fc40d0/nvidia_nccl_cu13-2.31.2-py3-none-manylinux_2_18_aarch64.whl", hash = "sha256:b5563f8e2534f363d93ace022670ba016d3717e190ac4eba564d05fbbe8495b1", size = 252479893, upload-time = "2026-08-11T23:22:01.53Z" },
-    { url = "https://files.pythonhosted.org/packages/14/fb/94933e00bb3dcfdf66ea3456739c6a51d322353f7cc64fa1f5f660e695ac/nvidia_nccl_cu13-2.31.2-py3-none-manylinux_2_18_x86_64.whl", hash = "sha256:0bcaf0308854cb55fcc35af72e2c83143f3b71e65a4e865e2c586b1cdcdb5ae0", size = 252442223, upload-time = "2026-08-11T23:22:40.341Z" },
-]
-
 [[package]]
 name = "oauthlib"
 version = "3.3.1"
@@ -3458,25 +3447,6 @@ wheels = [
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 ]
 
-[[package]]
-name = "xgboost"
-version = "3.4.1"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "numpy" },
-    { name = "nvidia-nccl-cu13", marker = "sys_platform == 'linux'" },
-    { name = "scipy" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/38/a9/295320f741c5be4be996c73ee65a2a11852028c50daa7229adb0d61c330b/xgboost-3.4.1.tar.gz", hash = "sha256:6968a4c71efdfa859df0dfcad0d99211c95c28c4ffd6aecff46efff77d18026a", size = 1231819, upload-time = "2026-08-15T08:39:21.197Z" }
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-
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 name = "zensical"
 version = "0.0.43"

From 3677a0172f66f974fa3f2e5a57dd4485c9819f3a Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 07:55:17 -0600
Subject: [PATCH 31/68] chore(tooling): enforce docstring and type coverage
 with ruff D and mypy
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Add ruff D1xx (missing-docstring) rules with per-file ignores for
migrations/tests/manage.py, plus mypy with the django-stubs plugin
(lenient: ignore_missing_imports, check_untyped_defs=false — not yet a
merge gate). Wire lint/typecheck/test targets in a root Makefile.
---
 Makefile               | 17 ++++++++++++++++
 backend/pyproject.toml | 41 ++++++++++++++++++++++++++++++++++++++
 backend/uv.lock        | 45 +++++++++++++++++++++++++-----------------
 3 files changed, 85 insertions(+), 18 deletions(-)
 create mode 100644 Makefile

diff --git a/Makefile b/Makefile
new file mode 100644
index 0000000..ef08f6e
--- /dev/null
+++ b/Makefile
@@ -0,0 +1,17 @@
+.PHONY: lint typecheck test
+
+# ruff needs no Django settings (no settings import), so it runs locally
+# against the backend project without going through Docker.
+lint:
+	cd backend && uv run ruff check .
+
+# mypy loads the django-stubs plugin, which imports databus.settings; that
+# module reads env vars via python-decouple and fails to import outside the
+# dev container, so mypy must run inside it.
+typecheck:
+	docker compose -f compose.dev.yml run --rm orchestrator uv run mypy .
+
+# pytest-django also needs the real settings/DB, so it runs inside the dev
+# container too.
+test:
+	docker compose -f compose.dev.yml run --rm orchestrator uv run pytest -q
diff --git a/backend/pyproject.toml b/backend/pyproject.toml
index 8b3dc5c..87e53ef 100644
--- a/backend/pyproject.toml
+++ b/backend/pyproject.toml
@@ -38,6 +38,8 @@ dependencies = [
 [dependency-groups]
 dev = [
     "django-debug-toolbar>=6.0.0",
+    "django-stubs[compatible-mypy]>=6.0.4",
+    "mypy>=2.0.0",
     "pytest>=8.4.1",
     "pytest-django>=4.11.1",
     "ruff>=0.12.11",
@@ -51,6 +53,45 @@ dev = [
 # every caller needing to remember a CLI --exclude flag.
 extend-exclude = ["gtfs-eta"]
 
+[tool.ruff.lint]
+# Missing-docstring rules only (D100-D107 family): we want *presence* of
+# docstrings, not pydocstyle's style nitpicks. extend-select (not select) so
+# ruff's default E/F rules stay active alongside this.
+extend-select = ["D1"]
+# D106 (missing docstring in nested class) is noise for Django's ubiquitous
+# `class Meta:` inner classes — ignored globally rather than per-file.
+ignore = ["D106"]
+
+[tool.ruff.lint.pydocstyle]
+convention = "pep257"
+
+[tool.ruff.lint.per-file-ignores]
+"**/migrations/**" = ["D"]
+"**/tests/**" = ["D"]
+"**/tests.py" = ["D"]
+"**/test_*.py" = ["D"]
+"manage.py" = ["D"]
+"**/__init__.py" = ["D104"]
+
+[tool.mypy]
+plugins = ["mypy_django_plugin.main"]
+ignore_missing_imports = true
+check_untyped_defs = false
+# api/tests.py (a namespace package: no __init__.py, matching Django 6's
+# implicit-namespace app style) and gtfs-django/tests/ both resolve to the
+# bare module name "tests" without this — explicit_package_bases makes mypy
+# derive each module's qualified name from its position under mypy_path
+# instead of collapsing to the top-level basename.
+explicit_package_bases = true
+mypy_path = "."
+# migrations are gitignored/regenerated at container start; gtfs-eta is the
+# sibling repo's own codebase (see [tool.ruff] above for the full rationale);
+# .venv is the local virtualenv, not project code.
+exclude = "(^|/)(migrations|gtfs-eta|\\.venv)(/|$)"
+
+[tool.django-stubs]
+django_settings_module = "databus.settings"
+
 [tool.pytest.ini_options]
 DJANGO_SETTINGS_MODULE = "databus.settings"
 # gtfs-eta is a symlink to the sibling repo (see [tool.uv.sources] below),
diff --git a/backend/uv.lock b/backend/uv.lock
index b371b98..e581da1 100644
--- a/backend/uv.lock
+++ b/backend/uv.lock
@@ -715,6 +715,8 @@ dependencies = [
 [package.dev-dependencies]
 dev = [
     { name = "django-debug-toolbar" },
+    { name = "django-stubs", extra = ["compatible-mypy"] },
+    { name = "mypy" },
     { name = "pytest" },
     { name = "pytest-django" },
     { name = "ruff" },
@@ -756,6 +758,8 @@ requires-dist = [
 [package.metadata.requires-dev]
 dev = [
     { name = "django-debug-toolbar", specifier = ">=6.0.0" },
+    { name = "django-stubs", extras = ["compatible-mypy"], specifier = ">=6.0.4" },
+    { name = "mypy", specifier = ">=2.0.0" },
     { name = "pytest", specifier = ">=8.4.1" },
     { name = "pytest-django", specifier = ">=4.11.1" },
     { name = "ruff", specifier = ">=0.12.11" },
@@ -879,6 +883,11 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/ba/e7/5128914ada94dd6277626ef5a4a5680a4def7d2f9366214d26c1cd86723b/django_stubs-6.0.4-py3-none-any.whl", hash = "sha256:e991c68f77239663577a5f4fc75e99c84f867f378cafc97cbf4acc5aff378279", size = 543791, upload-time = "2026-05-09T21:24:28.218Z" },
 ]
 
+[package.optional-dependencies]
+compatible-mypy = [
+    { name = "mypy" },
+]
+
 [[package]]
 name = "django-stubs-ext"
 version = "6.0.4"
@@ -1783,7 +1792,7 @@ wheels = [
 
 [[package]]
 name = "mypy"
-version = "2.1.0"
+version = "2.0.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "ast-serialize" },
@@ -1792,23 +1801,23 @@ dependencies = [
     { name = "pathspec" },
     { name = "typing-extensions" },
 ]
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 ]
 
 [[package]]

From 90dce3db605c8e9e5d8dedcd0e408fa53e086a99 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 08:14:26 -0600
Subject: [PATCH 32/68] docs(runs): add one-liner docstrings and complete type
 hints

Fills in missing pep257 one-liner docstrings (ruff D1xx: 57 -> 0) and
completes type hints across backend/runs/. Fixes the resulting mypy
findings in runs/ (21 -> 0) via narrowing, casts, and an assert -- no
runtime behavior changes; full pytest suite still 428 passed.
---
 backend/runs/admin.py                         |  2 +
 backend/runs/apps.py                          |  4 ++
 backend/runs/domain/detection/dispatch.py     | 13 +++---
 .../domain/detection/lifecycle_detectors.py   |  8 +++-
 .../domain/detection/periodic_detectors.py    |  2 +
 backend/runs/domain/lifecycle/__init__.py     | 12 +++++-
 backend/runs/domain/lifecycle/actions.py      |  7 ++++
 backend/runs/domain/lifecycle/events.py       |  2 +
 backend/runs/domain/lifecycle/guards.py       | 42 ++++++++++++++++---
 backend/runs/domain/lifecycle/states.py       |  5 ++-
 backend/runs/domain/lifecycle/transitions.py  |  8 ++--
 backend/runs/domain/progression/producer.py   | 18 ++++++--
 backend/runs/domain/progression/shapes.py     | 15 ++++---
 backend/runs/domain/progression/stop_times.py | 18 ++++++--
 backend/runs/models.py                        | 15 ++++++-
 backend/runs/services/exceptions.py           |  7 +++-
 backend/runs/services/lifecycle.py            | 13 +++++-
 backend/runs/services/registry.py             | 15 ++++++-
 backend/runs/views.py                         |  2 +
 19 files changed, 174 insertions(+), 34 deletions(-)

diff --git a/backend/runs/admin.py b/backend/runs/admin.py
index be9c64a..2fc55ee 100644
--- a/backend/runs/admin.py
+++ b/backend/runs/admin.py
@@ -1,3 +1,5 @@
+"""Register run and per-tick telemetry snapshot models with the Django admin site."""
+
 from django.contrib.gis import admin
 from .models import Run, Position, VehicleStopStatus, CongestionLevel, OccupancyStatus
 
diff --git a/backend/runs/apps.py b/backend/runs/apps.py
index b3fa904..d51ca31 100644
--- a/backend/runs/apps.py
+++ b/backend/runs/apps.py
@@ -1,5 +1,9 @@
+"""Django AppConfig for the runs app."""
+
 from django.apps import AppConfig
 
 
 class RunsConfig(AppConfig):
+    """Django app configuration for `runs` (run lifecycle, detection, progression, telemetry contracts)."""
+
     name = 'runs'
diff --git a/backend/runs/domain/detection/dispatch.py b/backend/runs/domain/detection/dispatch.py
index a911a53..9f8ebbe 100644
--- a/backend/runs/domain/detection/dispatch.py
+++ b/backend/runs/domain/detection/dispatch.py
@@ -13,7 +13,7 @@
 """
 
 import os
-from typing import Any
+from typing import Any, cast
 
 import redis
 from django.utils.timezone import now
@@ -45,7 +45,7 @@ def plan_telemetry_events(
     leaf: str,
     data: dict[str, Any],
     base_payload: dict[str, Any],
-    detectors=registry.TELEMETRY_DETECTORS,
+    detectors: list[Any] = registry.TELEMETRY_DETECTORS,
 ) -> list[DetectionResult]:
     """Plan at most one event per FSM for a telemetry message."""
     results: list[DetectionResult] = []
@@ -66,7 +66,7 @@ def plan_scan_events(
     lifecycle_state: str | None,
     staleness_s: float,
     payload: dict[str, Any],
-    detectors=registry.PERIODIC_DETECTORS,
+    detectors: list[Any] = registry.PERIODIC_DETECTORS,
 ) -> list[DetectionResult]:
     """Plan at most one lifecycle event for a staleness scan tick."""
     if lifecycle_state is None:
@@ -95,7 +95,10 @@ def _fire(result: DetectionResult, base_payload: dict[str, Any]) -> None:
 def detect_from_telemetry(
     run_id: str, vehicle_id: str, leaf: str, data: dict[str, Any]
 ) -> None:
-    lifecycle_state = r.hget(f"run:{run_id}", "run_lifecycle_state")
+    """Evaluate telemetry detectors for one message and queue any fired lifecycle events."""
+    # r has decode_responses=True, so hget really returns str | None; cast narrows
+    # away the Awaitable branch that redis-py's shared sync/async stub attaches.
+    lifecycle_state = cast("str | None", r.hget(f"run:{run_id}", "run_lifecycle_state"))
     if not lifecycle_state:
         return
 
@@ -111,7 +114,7 @@ def detect_from_telemetry(
 
 def detect_from_scan(run_id: str, staleness_s: float, raw_last_seen: str) -> int:
     """Evaluate periodic detectors for one run; returns number of events fired."""
-    lifecycle_state = r.hget(f"run:{run_id}", "run_lifecycle_state")
+    lifecycle_state = cast("str | None", r.hget(f"run:{run_id}", "run_lifecycle_state"))
     base_payload = {
         "run_id": run_id,
         "last_seen_at": raw_last_seen,
diff --git a/backend/runs/domain/detection/lifecycle_detectors.py b/backend/runs/domain/detection/lifecycle_detectors.py
index 4eaa8f2..62fc335 100644
--- a/backend/runs/domain/detection/lifecycle_detectors.py
+++ b/backend/runs/domain/detection/lifecycle_detectors.py
@@ -25,6 +25,7 @@ class RunTrackingStartedDetector:
     def detect(
         self, run_state: str, leaf: str, data: dict[str, Any], payload: dict[str, Any]
     ) -> DetectionResult | None:
+        """Fire RUN_TRACKING_STARTED when a CONFIRMED run receives any telemetry."""
         if run_state == RunLifecycleStates.CONFIRMED.value:
             return DetectionResult(self.fsm, RunLifecycleEvents.RUN_TRACKING_STARTED)
         return None
@@ -38,6 +39,7 @@ class RunStartedDetector:
     def detect(
         self, run_state: str, leaf: str, data: dict[str, Any], payload: dict[str, Any]
     ) -> DetectionResult | None:
+        """Fire RUN_STARTED when a TRACKING run's position shows it moving faster than MIN_MOVING_SPEED."""
         if run_state == RunLifecycleStates.TRACKING.value and leaf == "position":
             if float(data.get("speed", 0) or 0) > MIN_MOVING_SPEED:
                 return DetectionResult(self.fsm, RunLifecycleEvents.RUN_STARTED)
@@ -52,6 +54,7 @@ class RunTrackingRestoredDetector:
     def detect(
         self, run_state: str, leaf: str, data: dict[str, Any], payload: dict[str, Any]
     ) -> DetectionResult | None:
+        """Fire RUN_TRACKING_RESTORED when a NO_SIGNAL run receives any telemetry."""
         if run_state == RunLifecycleStates.NO_SIGNAL.value:
             return DetectionResult(self.fsm, RunLifecycleEvents.RUN_TRACKING_RESTORED)
         return None
@@ -69,6 +72,7 @@ class RunCompletedDetector:
     def detect(
         self, run_state: str, leaf: str, data: dict[str, Any], payload: dict[str, Any]
     ) -> DetectionResult | None:
+        """Fire RUN_COMPLETED when an IN_PROGRESS run reports STOPPED_AT with a stop_id."""
         if run_state == RunLifecycleStates.IN_PROGRESS.value and leaf == "progression":
             stop_id = data.get("stop_id")
             if data.get("current_status") == "STOPPED_AT" and stop_id:
@@ -79,8 +83,8 @@ def detect(
 
 
 class RunInterruptedDetector:
-    pass
+    """Placeholder — not registered in `registry.TELEMETRY_DETECTORS`; interruption is triggered externally via the RUN_INTERRUPTED command, not detected from telemetry."""
 
 
 class RunShortTurnedDetector:
-    pass
+    """Placeholder — not registered in `registry.TELEMETRY_DETECTORS`; short-turning is triggered externally via the RUN_SHORT_TURNED command, not detected from telemetry."""
diff --git a/backend/runs/domain/detection/periodic_detectors.py b/backend/runs/domain/detection/periodic_detectors.py
index f96cc99..aa6c876 100644
--- a/backend/runs/domain/detection/periodic_detectors.py
+++ b/backend/runs/domain/detection/periodic_detectors.py
@@ -24,6 +24,7 @@ class RunTrackingLostDetector:
     def detect(
         self, run_state: str, staleness_s: float, payload: dict[str, Any]
     ) -> DetectionResult | None:
+        """Fire RUN_TRACKING_LOST when an IN_PROGRESS run's staleness falls in the grace-to-expiry window."""
         if (
             run_state == RunLifecycleStates.IN_PROGRESS.value
             and TELEMETRY_GRACE_S < staleness_s <= TELEMETRY_EXPIRY_S
@@ -42,6 +43,7 @@ class RunTrackingExpiredDetector:
     def detect(
         self, run_state: str, staleness_s: float, payload: dict[str, Any]
     ) -> DetectionResult | None:
+        """Fire RUN_TRACKING_EXPIRED when a NO_SIGNAL run's staleness exceeds the expiry window."""
         if (
             run_state == RunLifecycleStates.NO_SIGNAL.value
             and staleness_s > TELEMETRY_EXPIRY_S
diff --git a/backend/runs/domain/lifecycle/__init__.py b/backend/runs/domain/lifecycle/__init__.py
index 2f3d6b8..43be934 100644
--- a/backend/runs/domain/lifecycle/__init__.py
+++ b/backend/runs/domain/lifecycle/__init__.py
@@ -1,4 +1,12 @@
+"""Table-driven FSM for the run lifecycle: states, events, guards, actions, and transitions.
+
+Submodules are lazy-loaded via module `__getattr__` below so importing this
+package does not eagerly pull in the Redis/Django-touching `actions` and
+`guards` modules unless a caller actually needs them.
+"""
+
 from importlib import import_module
+from typing import Any
 
 from .states import RunLifecycleStates, choices
 from .events import RunLifecycleEvents
@@ -15,7 +23,8 @@
 ]
 
 
-def __getattr__(name: str):
+def __getattr__(name: str) -> Any:
+    """Lazily resolve `RunLifecycleActions`/`RunLifecycleGuards`/`Transition`/`TRANSITIONS`/`target_state_for_event` from their owning submodule."""
     if name in {
         "RunLifecycleActions",
         "RunLifecycleGuards",
@@ -36,4 +45,5 @@ def __getattr__(name: str):
 
 
 def __dir__() -> list[str]:
+    """Include the lazily-loaded names in `dir()` output for REPL/IDE discoverability."""
     return sorted(set(globals()) | set(__all__))
diff --git a/backend/runs/domain/lifecycle/actions.py b/backend/runs/domain/lifecycle/actions.py
index 37a77fc..3b43068 100644
--- a/backend/runs/domain/lifecycle/actions.py
+++ b/backend/runs/domain/lifecycle/actions.py
@@ -1,3 +1,5 @@
+"""Action functions executed by successful run lifecycle transitions — Redis state mutation and cleanup."""
+
 from typing import Any, TYPE_CHECKING
 from runs.models import Run
 import redis
@@ -108,6 +110,7 @@ def sync_lifecycle_state(
     def add_to_tracking_set(
         run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> bool:
+        """Add the run to the `runs:tracking` Redis set."""
         r.sadd("runs:tracking", str(run.id))
         return True
 
@@ -115,6 +118,7 @@ def add_to_tracking_set(
     def remove_from_tracking_set(
         run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> bool:
+        """Remove the run from the `runs:tracking` Redis set."""
         r.srem("runs:tracking", str(run.id))
         return True
 
@@ -122,6 +126,7 @@ def remove_from_tracking_set(
     def add_to_in_progress_set(
         run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> bool:
+        """Add the run to the `runs:in_progress` Redis set."""
         r.sadd("runs:in_progress", str(run.id))
         return True
 
@@ -129,6 +134,7 @@ def add_to_in_progress_set(
     def remove_from_in_progress_set(
         run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> bool:
+        """Remove the run from the `runs:in_progress` Redis set."""
         r.srem("runs:in_progress", str(run.id))
         return True
 
@@ -136,6 +142,7 @@ def remove_from_in_progress_set(
     def remove_from_system_state(
         run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> bool:
+        """Delete the run's Redis hash and remove it from both the tracking and in-progress sets."""
         pipe = r.pipeline()
         pipe.delete(f"run:{run.id}")
         pipe.srem("runs:tracking", str(run.id))
diff --git a/backend/runs/domain/lifecycle/events.py b/backend/runs/domain/lifecycle/events.py
index 2534eb5..ad54505 100644
--- a/backend/runs/domain/lifecycle/events.py
+++ b/backend/runs/domain/lifecycle/events.py
@@ -1,3 +1,5 @@
+"""Enumeration of events driving run lifecycle transitions — REST commands and telemetry-detected facts."""
+
 from enum import Enum
 
 
diff --git a/backend/runs/domain/lifecycle/guards.py b/backend/runs/domain/lifecycle/guards.py
index 68e6dfc..e566e0f 100644
--- a/backend/runs/domain/lifecycle/guards.py
+++ b/backend/runs/domain/lifecycle/guards.py
@@ -1,4 +1,6 @@
-from typing import Any, TYPE_CHECKING
+"""Guard functions gating run lifecycle transitions on GTFS validity, resource availability, and telemetry freshness."""
+
+from typing import Any, TYPE_CHECKING, cast
 from datetime import datetime, timezone
 from django.utils.timezone import now
 from runs.models import Run
@@ -12,6 +14,16 @@
 r = redis.Redis(host="state", port=6379, db=0)
 
 
+def _get_bytes(key: str) -> bytes | None:
+    """Read a Redis string value as bytes.
+
+    Narrows away the `Awaitable[...]` branch that redis-py's stubs attach to
+    every command (shared between the sync and async client mixins) — `r` here
+    is always the synchronous client, so the result is never a coroutine.
+    """
+    return cast("bytes | None", r.get(key))
+
+
 def _parse_last_seen(payload: dict[str, Any]) -> datetime | None:
     raw = payload.get("last_seen_at")
     if raw is None:
@@ -28,10 +40,13 @@ def _parse_last_seen(payload: dict[str, Any]) -> datetime | None:
 
 
 class RunLifecycleGuards:
+    """Namespace of guard functions; each returns a bool verdict or raises RunLifecycleError with field-level detail."""
+
     @staticmethod
     def is_gtfs_valid(
         run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> bool:
+        """Validate the run's GTFS fields against the current feed, raising RunLifecycleError with per-field detail on any mismatch."""
         from feed.models import Feed, Route, Trip
 
         route_id = payload.get("route_id")
@@ -43,7 +58,10 @@ def is_gtfs_valid(
         errors: dict[str, str] = {}
         direction_id_int: int | None
         try:
-            direction_id_int = int(direction_id)
+            # `direction_id is not None` narrows `Any | None` to `Any` for mypy;
+            # int(None) would otherwise be flagged even though it is already
+            # caught by the except clause below (no behavior change).
+            direction_id_int = int(direction_id) if direction_id is not None else None
         except (TypeError, ValueError):
             direction_id_int = None
 
@@ -101,12 +119,13 @@ def is_gtfs_valid(
     def is_vehicle_available(
         run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> bool:
+        """Check that the run's vehicle is not already claimed by a different active run in Redis."""
         vehicle_id = payload.get("vehicle_id") or (
             run.vehicle.values_list("id", flat=True).first()
         )
         if not vehicle_id:
             return True
-        existing = r.get(f"vehicle:{vehicle_id}:current_run")
+        existing = _get_bytes(f"vehicle:{vehicle_id}:current_run")
         if existing and existing.decode() != str(run.id):
             raise RunLifecycleError(
                 {
@@ -119,10 +138,11 @@ def is_vehicle_available(
     def is_trip_available(
         run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> bool:
+        """Check that the run's trip_id is not already claimed by a different active run in Redis."""
         trip_id = payload.get("trip_id") or run.trip_id
         if not trip_id:
             return True
-        existing = r.get(f"trip:{trip_id}:current_run")
+        existing = _get_bytes(f"trip:{trip_id}:current_run")
         if existing and existing.decode() != str(run.id):
             raise RunLifecycleError(
                 {
@@ -135,12 +155,13 @@ def is_trip_available(
     def is_operator_available(
         run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> bool:
+        """Check that the run's operator is not already claimed by a different active run in Redis."""
         operator_id = payload.get("operator_id") or (
             run.operator.values_list("id", flat=True).first()
         )
         if not operator_id:
             return True
-        existing = r.get(f"operator:{operator_id}:current_run")
+        existing = _get_bytes(f"operator:{operator_id}:current_run")
         if existing and existing.decode() != str(run.id):
             raise RunLifecycleError(
                 {
@@ -153,18 +174,21 @@ def is_operator_available(
     def is_vehicle_tracked(
         run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> bool:
+        """Return whether the run is currently a member of the `runs:tracking` Redis set."""
         return bool(r.sismember("runs:tracking", str(run.id)))
 
     @staticmethod
     def is_run_validated(
         run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> bool:
+        """No-op guard: validation was already enforced by the VALIDATE_RUN transition, so this always passes."""
         return True
 
     @staticmethod
     def is_vehicle_moving(
         run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> bool:
+        """Return whether the payload's reported speed exceeds the moving threshold (0.5 m/s)."""
         return float(payload.get("speed", 0)) > 0.5
 
     # ------------------------------------------------------------------
@@ -175,6 +199,7 @@ def is_vehicle_moving(
     def is_cancellation_authorized(
         run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> bool:
+        """Check that the requesting actor_role is permitted to cancel a run, raising RunLifecycleError otherwise."""
         actor_role = payload.get("actor_role", "")
         if actor_role == "system":
             return True
@@ -190,6 +215,7 @@ def is_cancellation_authorized(
     def is_interruption_authorized(
         run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> bool:
+        """Check that the requesting actor_role is permitted to interrupt a run, raising RunLifecycleError otherwise."""
         actor_role = payload.get("actor_role", "")
         if actor_role in ("system", "dispatcher", "operator"):
             return True
@@ -203,6 +229,7 @@ def is_interruption_authorized(
     def is_short_turn_authorized(
         run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> bool:
+        """Check that the requesting actor_role is permitted to short-turn a run, raising RunLifecycleError otherwise."""
         actor_role = payload.get("actor_role", "")
         if actor_role in ("dispatcher", "system"):
             return True
@@ -216,6 +243,7 @@ def is_short_turn_authorized(
     def is_short_turn_geometrically_valid(
         run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> bool:
+        """Verify the requested short-turn stop belongs to the run's trip and is not the terminal stop, raising RunLifecycleError otherwise."""
         from feed.models import Feed, StopTime
 
         short_turn_stop_id = payload.get("short_turn_stop_id")
@@ -263,6 +291,7 @@ def is_short_turn_geometrically_valid(
     def is_telemetry_stale(
         run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> bool:
+        """Return whether the run's last-seen telemetry is older than the staleness grace period."""
         last_seen = _parse_last_seen(payload)
         if last_seen is None:
             last_seen = run.last_event_at
@@ -275,6 +304,7 @@ def is_telemetry_stale(
     def is_telemetry_fresh(
         run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> bool:
+        """Return whether the run's last-seen telemetry is within the staleness grace period."""
         last_seen = _parse_last_seen(payload)
         if last_seen is None:
             last_seen = run.last_event_at
@@ -287,6 +317,7 @@ def is_telemetry_fresh(
     def is_telemetry_grace_period_exceeded(
         run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> bool:
+        """Return whether the run's last-seen telemetry is older than the expiry window."""
         last_seen = _parse_last_seen(payload)
         if last_seen is None:
             last_seen = run.last_event_at
@@ -303,6 +334,7 @@ def is_telemetry_grace_period_exceeded(
     def is_at_terminal_stop(
         run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> bool:
+        """Verify the reported stop_id is the trip's terminal stop, raising RunLifecycleError otherwise."""
         from feed.models import Feed, StopTime
 
         stop_id = payload.get("stop_id")
diff --git a/backend/runs/domain/lifecycle/states.py b/backend/runs/domain/lifecycle/states.py
index c3c8f36..6d7c616 100644
--- a/backend/runs/domain/lifecycle/states.py
+++ b/backend/runs/domain/lifecycle/states.py
@@ -1,3 +1,5 @@
+"""Enumeration of run lifecycle states and their Django model choices."""
+
 from enum import Enum
 
 
@@ -19,5 +21,6 @@ class RunLifecycleStates(str, Enum):
     SHORT_TURNED = "Short Turned"
 
 
-def choices():
+def choices() -> list[tuple[str, str]]:
+    """Return the (value, name) choices list for the `Run.run_lifecycle_state` model field."""
     return [(status.value, status.name) for status in RunLifecycleStates]
diff --git a/backend/runs/domain/lifecycle/transitions.py b/backend/runs/domain/lifecycle/transitions.py
index 5b97d24..12fbe11 100644
--- a/backend/runs/domain/lifecycle/transitions.py
+++ b/backend/runs/domain/lifecycle/transitions.py
@@ -1,5 +1,7 @@
+"""Static transition table mapping (state, event) pairs to their guards, actions, and resulting state."""
+
 from dataclasses import dataclass
-from typing import Callable, List
+from typing import Callable
 
 from .actions import RunLifecycleActions
 from .guards import RunLifecycleGuards
@@ -14,8 +16,8 @@ class Transition:
     from_state: RunLifecycleStates
     event: RunLifecycleEvents
     to_state: RunLifecycleStates
-    guards: List[Callable]
-    actions: List[Callable]
+    guards: list[Callable]
+    actions: list[Callable]
 
 
 TRANSITIONS = [
diff --git a/backend/runs/domain/progression/producer.py b/backend/runs/domain/progression/producer.py
index 50e0722..4f9f707 100644
--- a/backend/runs/domain/progression/producer.py
+++ b/backend/runs/domain/progression/producer.py
@@ -14,6 +14,7 @@
 
 import logging
 import os
+from typing import cast
 
 import redis
 
@@ -30,6 +31,17 @@
 )
 
 
+def _hgetall(key: str) -> dict[str, str]:
+    """Read a Redis hash as `dict[str, str]`.
+
+    Narrows away the `Awaitable[...]` branch that redis-py's stubs attach to
+    every command (shared between the sync and async client mixins) — `r`
+    here is always the synchronous, `decode_responses=True` client, so the
+    result is always a plain string-keyed, string-valued dict.
+    """
+    return cast("dict[str, str]", r.hgetall(key))
+
+
 def produce_stop_status(run_id: str, vehicle_id: str) -> dict | None:
     """Derive and write ``run:<run_id>:vehicle_stop_status`` from the latest position.
 
@@ -55,16 +67,16 @@ def produce_stop_status(run_id: str, vehicle_id: str) -> dict | None:
         when position data is available, or ``None`` when there is no position
         data to derive from.
     """
-    pos_raw = r.hgetall(keys.position_key(vehicle_id))
+    pos_raw = _hgetall(keys.position_key(vehicle_id))
     if not pos_raw:
         # No position data yet — nothing to derive stop status from.
         return None
 
     position_hash = position.from_redis(pos_raw)
 
-    run_hash = r.hgetall(keys.run_key(run_id))
+    run_hash = _hgetall(keys.run_key(run_id))
 
-    prev_raw = r.hgetall(keys.stop_status_key(run_id))
+    prev_raw = _hgetall(keys.stop_status_key(run_id))
     prev_state = vehicle_stop_status.from_redis(prev_raw) if prev_raw else None
 
     computed = compute_stop_status(run_hash, position_hash, prev_state=prev_state)
diff --git a/backend/runs/domain/progression/shapes.py b/backend/runs/domain/progression/shapes.py
index f4a08cf..537d102 100644
--- a/backend/runs/domain/progression/shapes.py
+++ b/backend/runs/domain/progression/shapes.py
@@ -101,16 +101,17 @@ def build_polyline(
     # ---- cumulative haversine (always computed; used as fallback) -----------
     haversine_result: list[tuple[float, float, float]] = []
     cum = 0.0
-    prev_lat: float | None = None
-    prev_lon: float | None = None
+    # A single Optional pair (rather than two parallel Optionals) lets mypy
+    # narrow both coordinates together from one `is None` check.
+    prev_point: tuple[float, float] | None = None
 
     for lat, lon, _seq in points:
-        if prev_lat is None:
+        if prev_point is None:
             cum = 0.0
         else:
-            cum += haversine_m(prev_lat, prev_lon, lat, lon)
+            cum += haversine_m(prev_point[0], prev_point[1], lat, lon)
         haversine_result.append((lat, lon, cum))
-        prev_lat, prev_lon = lat, lon
+        prev_point = (lat, lon)
 
     # ---- decide whether to use provided dists_m ----------------------------
     if dists_m is not None:
@@ -121,6 +122,10 @@ def build_polyline(
     if not use_provided:
         return haversine_result
 
+    # use_provided is only True when dists_m is not None (see the branch
+    # above); this assert makes that invariant explicit for mypy.
+    assert dists_m is not None
+
     # Normalise so first entry is 0.0.
     offset = dists_m[0]
     result: list[tuple[float, float, float]] = []
diff --git a/backend/runs/domain/progression/stop_times.py b/backend/runs/domain/progression/stop_times.py
index 421225a..75379e7 100644
--- a/backend/runs/domain/progression/stop_times.py
+++ b/backend/runs/domain/progression/stop_times.py
@@ -24,6 +24,7 @@
 import logging
 import os
 from datetime import datetime, timezone
+from typing import cast
 
 import redis
 
@@ -57,6 +58,17 @@
 )
 
 
+def _hgetall(key: str) -> dict[str, str]:
+    """Read a Redis hash as `dict[str, str]`.
+
+    Narrows away the `Awaitable[...]` branch that redis-py's stubs attach to
+    every command (shared between the sync and async client mixins) — `r`
+    here is always the synchronous, `decode_responses=True` client, so the
+    result is always a plain string-keyed, string-valued dict.
+    """
+    return cast("dict[str, str]", r.hgetall(key))
+
+
 # ---------------------------------------------------------------------------
 # Pure helper
 # ---------------------------------------------------------------------------
@@ -274,14 +286,14 @@ def produce_stop_times(run_id: str, vehicle_id: str) -> None:
         The vehicle id whose position was just updated.
     """
     # Step 1 — run hash
-    run_hash = r.hgetall(keys.run_key(run_id))
+    run_hash = _hgetall(keys.run_key(run_id))
     if not run_hash:
         return
 
     # Step 2 — position hash (required; exit without overwriting if absent)
     from runs.domain.telemetry import position as position_module  # noqa: PLC0415
 
-    pos_raw = r.hgetall(keys.position_key(vehicle_id))
+    pos_raw = _hgetall(keys.position_key(vehicle_id))
     if not pos_raw:
         return
     pos = position_module.from_redis(pos_raw)
@@ -289,7 +301,7 @@ def produce_stop_times(run_id: str, vehicle_id: str) -> None:
         return
 
     # Step 3 — stop-status hash (tolerate absence)
-    stop_status_raw = r.hgetall(keys.stop_status_key(run_id))
+    stop_status_raw = _hgetall(keys.stop_status_key(run_id))
     stop_status = vehicle_stop_status.from_redis(stop_status_raw) if stop_status_raw else {}
 
     # Step 4 — shape geometry (exit without overwriting if unavailable)
diff --git a/backend/runs/models.py b/backend/runs/models.py
index acdcff5..94e8b70 100644
--- a/backend/runs/models.py
+++ b/backend/runs/models.py
@@ -1,3 +1,5 @@
+"""Django ORM models for run assignment, lifecycle audit trail, and per-tick telemetry snapshots."""
+
 from django.contrib.gis.db import models
 from operations.models import Vehicle, Operator
 from runs.domain.lifecycle import RunLifecycleStates, choices
@@ -47,11 +49,14 @@ class Run(models.Model):
     )
     last_event_at = models.DateTimeField(blank=True, null=True)
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return a human-readable "route/trip (date)" label for admin and logs."""
         return f"{self.route_id} / {self.trip_id} ({self.start_date})"
 
 
 class RunLifecycleTransition(models.Model):
+    """Immutable audit record of one FSM transition attempt (successful or rejected) for a run."""
+
     id = models.UUIDField(primary_key=True, default=uuid.uuid7, editable=False)
     run = models.ForeignKey(Run, on_delete=models.CASCADE)
     event_name = models.CharField(max_length=128)
@@ -70,6 +75,8 @@ class Meta:
 
 
 class Position(models.Model):
+    """One GPS/motion sample for a vehicle at a point in time."""
+
     vehicle = models.ForeignKey(Vehicle, on_delete=models.PROTECT)
     timestamp = models.DateTimeField()
     point = models.PointField(blank=True, null=True)
@@ -81,6 +88,8 @@ class Position(models.Model):
 
 
 class VehicleStopStatus(models.Model):
+    """Snapshot of a vehicle's relationship to its current/next stop (GTFS-RT VehicleStopStatus)."""
+
     vehicle = models.ForeignKey(Vehicle, on_delete=models.PROTECT)
     timestamp = models.DateTimeField(auto_now_add=True)
     current_stop_sequence = models.PositiveIntegerField(blank=True, null=True)
@@ -98,6 +107,8 @@ class VehicleStopStatus(models.Model):
 
 
 class CongestionLevel(models.Model):
+    """Snapshot of a vehicle's congestion level (GTFS-RT CongestionLevel; producer not yet implemented)."""
+
     vehicle = models.ForeignKey(Vehicle, on_delete=models.PROTECT)
     timestamp = models.DateTimeField(auto_now_add=True)
     congestion_level = models.CharField(
@@ -115,6 +126,8 @@ class CongestionLevel(models.Model):
 
 
 class OccupancyStatus(models.Model):
+    """Snapshot of a vehicle's passenger occupancy (GTFS-RT OccupancyStatus)."""
+
     vehicle = models.ForeignKey(Vehicle, on_delete=models.PROTECT)
     timestamp = models.DateTimeField(auto_now_add=True)
     occupancy_status = models.CharField(
diff --git a/backend/runs/services/exceptions.py b/backend/runs/services/exceptions.py
index 949e448..e415344 100644
--- a/backend/runs/services/exceptions.py
+++ b/backend/runs/services/exceptions.py
@@ -1,6 +1,11 @@
+"""Domain exception raised when a run lifecycle guard or action rejects a transition."""
+
 from typing import Any
 
 
 class RunLifecycleError(Exception):
-    def __init__(self, errors: dict[str, Any]):
+    """Raised when a guard rejects a transition or an action fails, carrying field-level error detail."""
+
+    def __init__(self, errors: dict[str, Any]) -> None:
+        """Store the field-level error detail dict for the caller (e.g. DRF serialization)."""
         self.errors = errors
diff --git a/backend/runs/services/lifecycle.py b/backend/runs/services/lifecycle.py
index 297d95f..8980b61 100644
--- a/backend/runs/services/lifecycle.py
+++ b/backend/runs/services/lifecycle.py
@@ -1,4 +1,6 @@
-from typing import Any
+"""Drive Run FSM transitions: find candidates, check guards, execute actions, and persist the outcome."""
+
+from typing import Any, cast
 from django.utils.timezone import now
 from messages.publisher import publish_event
 from runs.domain.lifecycle import RunLifecycleEvents
@@ -10,12 +12,16 @@
 
 
 class RunLifecycleService:
+    """Execute run lifecycle events against the table-driven FSM, auditing every attempt."""
+
     def __init__(self) -> None:
+        """Initialize the transition registry used to look up candidate transitions."""
         self.registry: TransitionRegistry = TransitionRegistry()
 
     def process_event(
         self, event: RunLifecycleEvents, payload: dict[str, Any]
     ) -> tuple[RunLifecycleStates, dict[str, bool], dict[str, bool]]:
+        """Apply `event` to the run's current state, or raise RunLifecycleError if no transition succeeds."""
         run = self._load_run(payload)
         candidates = self.registry.find(run.run_lifecycle_state, event)
         attempts: list[dict[str, Any]] = []
@@ -46,7 +52,10 @@ def process_event(
 
     def _load_run(self, payload: dict[str, Any]) -> Run:
         run_id = payload.get("run_id")
-        return Run.objects.get(id=run_id)
+        # payload is dict[str, Any], so .get() is typed as Any | None; cast is a
+        # static-only narrowing — a missing/malformed run_id still reaches the ORM
+        # unchanged and raises Run.DoesNotExist, exactly as before this annotation.
+        return Run.objects.get(id=cast(str, run_id))
 
     def _check_guards(
         self, run: Run, transition: Transition, payload: dict[str, Any]
diff --git a/backend/runs/services/registry.py b/backend/runs/services/registry.py
index 8d71b2a..a33c5fa 100644
--- a/backend/runs/services/registry.py
+++ b/backend/runs/services/registry.py
@@ -1,6 +1,17 @@
-from runs.domain.lifecycle import TRANSITIONS
+"""Look up FSM transitions for a given run lifecycle state and event."""
+
+from runs.domain.lifecycle import TRANSITIONS, RunLifecycleEvents, Transition
 
 
 class TransitionRegistry:
-    def find(self, state, event):
+    """Query the static TRANSITIONS table for candidate run lifecycle transitions."""
+
+    def find(self, state: str | None, event: RunLifecycleEvents) -> list[Transition]:
+        """Return the transitions whose from_state and event match, in table order.
+
+        `state` accepts a plain string because callers pass the Run model's raw
+        `run_lifecycle_state` CharField value; `RunLifecycleStates` is itself a
+        `str` subclass so the `==` comparison against `Transition.from_state`
+        works for either a raw string or an enum member.
+        """
         return [t for t in TRANSITIONS if t.from_state == state and t.event == event]
diff --git a/backend/runs/views.py b/backend/runs/views.py
index 60f00ef..83efdd0 100644
--- a/backend/runs/views.py
+++ b/backend/runs/views.py
@@ -1 +1,3 @@
+"""Placeholder for runs app HTTP views (none defined yet — run mutations go through the API app)."""
+
 # Create your views here.

From 38d5b3f3359dc87a92d550468366e940c46f1522 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 08:30:11 -0600
Subject: [PATCH 33/68] docs(realtime_engine): add one-liner docstrings and
 complete type hints

Adds pep257 one-liner docstrings to every public module/class/method/
function missing one (ruff D1xx: 17 -> 0), and completes type hints on
all signatures using modern union/generic syntax. Fixes the redis-py
Awaitable-union mypy findings in mqtt.py and tasks.py with small private
cast helpers (_get/_smembers/_hgetall), mirroring the idiom already used
in runs/domain/progression/producer.py. No behavior changes.
---
 backend/realtime_engine/admin.py              |  2 +-
 backend/realtime_engine/apps.py               |  4 ++
 backend/realtime_engine/models.py             |  2 +-
 backend/realtime_engine/mqtt.py               | 33 +++++++++++++---
 backend/realtime_engine/sources/base.py       | 17 +++++++--
 backend/realtime_engine/sources/http_json.py  | 20 ++++++++--
 backend/realtime_engine/sources/publisher.py  | 12 +++++-
 backend/realtime_engine/sources/transforms.py |  3 +-
 backend/realtime_engine/tasks.py              | 38 ++++++++++++++++---
 backend/realtime_engine/views.py              |  2 +-
 10 files changed, 108 insertions(+), 25 deletions(-)

diff --git a/backend/realtime_engine/admin.py b/backend/realtime_engine/admin.py
index 846f6b4..101bd5a 100644
--- a/backend/realtime_engine/admin.py
+++ b/backend/realtime_engine/admin.py
@@ -1 +1 @@
-# Register your models here.
+"""Django admin registrations for realtime_engine (none: state lives in Redis, not the ORM)."""
diff --git a/backend/realtime_engine/apps.py b/backend/realtime_engine/apps.py
index b52565e..47be53a 100644
--- a/backend/realtime_engine/apps.py
+++ b/backend/realtime_engine/apps.py
@@ -1,5 +1,9 @@
+"""Django AppConfig for the realtime_engine app."""
+
 from django.apps import AppConfig
 
 
 class RealtimeEngineConfig(AppConfig):
+    """Configure the realtime_engine Django app."""
+
     name = "realtime_engine"
diff --git a/backend/realtime_engine/models.py b/backend/realtime_engine/models.py
index 6b20219..5c735c6 100644
--- a/backend/realtime_engine/models.py
+++ b/backend/realtime_engine/models.py
@@ -1 +1 @@
-# Create your models here.
+"""Django models for realtime_engine (none: state lives in Redis, not the ORM)."""
diff --git a/backend/realtime_engine/mqtt.py b/backend/realtime_engine/mqtt.py
index 3ea5703..2b51836 100644
--- a/backend/realtime_engine/mqtt.py
+++ b/backend/realtime_engine/mqtt.py
@@ -23,6 +23,7 @@
 import logging
 import os
 import socket
+from typing import Any, cast
 
 import paho.mqtt.client as mqtt
 import redis
@@ -58,10 +59,22 @@ def _vehicle_id_from_topic(topic: str) -> str | None:
 
 
 def _leaf_from_topic(topic: str) -> str | None:
+    """Extract the leaf segment (e.g. 'position') from transit/vehicle/<id>/<leaf>."""
     parts = topic.split("/")
     return parts[-1] if len(parts) == 4 else None
 
 
+def _get(key: str) -> str | None:
+    """Read a Redis string value, narrowing away redis-py's shared Awaitable stub.
+
+    `r` here is always the synchronous, `decode_responses=True` client, but
+    redis-py's `CoreCommands` mixin types every command `Awaitable[X] | X`
+    since it's shared with the async client — this cast narrows to the sync
+    branch that's actually returned.
+    """
+    return cast("str | None", r.get(key))
+
+
 def _handle_telemetry(vehicle_id: str, leaf: str, payload_bytes: bytes) -> None:
     try:
         data = json.loads(payload_bytes)
@@ -69,7 +82,7 @@ def _handle_telemetry(vehicle_id: str, leaf: str, payload_bytes: bytes) -> None:
         logger.warning("Non-JSON payload on vehicle %s/%s — ignored", vehicle_id, leaf)
         return
 
-    run_id = r.get(keys.current_run_key(vehicle_id))
+    run_id = _get(keys.current_run_key(vehicle_id))
     if not run_id:
         logger.debug("No active run for vehicle %s — dropping %s", vehicle_id, leaf)
         return
@@ -142,7 +155,10 @@ def _handle_telemetry(vehicle_id: str, leaf: str, payload_bytes: bytes) -> None:
         detect_from_telemetry(run_id, vehicle_id, leaf, data)
 
 
-def _on_connect(client: mqtt.Client, userdata, flags, rc) -> None:
+def _on_connect(
+    client: mqtt.Client, userdata: Any, flags: dict[str, Any], rc: mqtt.MQTTErrorCode
+) -> None:
+    """Subscribe to the vehicle telemetry topics once the broker connection is up."""
     if rc == 0:
         logger.info("MQTT connected: %s:%s", MQTT_HOST, MQTT_PORT)
         client.subscribe("transit/vehicle/+/position", qos=0)
@@ -152,7 +168,8 @@ def _on_connect(client: mqtt.Client, userdata, flags, rc) -> None:
         logger.error("MQTT connection refused: rc=%d", rc)
 
 
-def _on_message(client: mqtt.Client, userdata, msg: mqtt.MQTTMessage) -> None:
+def _on_message(client: mqtt.Client, userdata: Any, msg: mqtt.MQTTMessage) -> None:
+    """Route an incoming MQTT message to `_handle_telemetry`, logging any failure."""
     vehicle_id = _vehicle_id_from_topic(msg.topic)
     leaf = _leaf_from_topic(msg.topic)
     if not vehicle_id or not leaf:
@@ -164,6 +181,7 @@ def _on_message(client: mqtt.Client, userdata, msg: mqtt.MQTTMessage) -> None:
 
 
 def build_client() -> mqtt.Client:
+    """Build a paho MQTT client wired to the telemetry callbacks, unconnected."""
     # Unique per process: a fixed client_id makes a second consumer (e.g. another
     # worker that also has MQTT_CONSUMER_ENABLED) collide on the broker and trigger
     # an endless reconnect war. Single-consumer gating is still the real guarantee;
@@ -186,11 +204,13 @@ class MQTTConsumerStep(bootsteps.StartStopStep):
 
     requires = {"celery.worker.components:Pool"}
 
-    def __init__(self, worker, **kwargs):
+    def __init__(self, worker: Any, **kwargs: Any) -> None:
+        """Initialize the bootstep with no MQTT client connected yet."""
         super().__init__(worker, **kwargs)
         self.client: mqtt.Client | None = None
 
-    def start(self, worker) -> None:
+    def start(self, worker: Any) -> None:
+        """Connect and start the MQTT client's background loop, if enabled."""
         if not MQTT_CONSUMER_ENABLED:
             logger.info(
                 "MQTT consumer bootstep disabled (MQTT_CONSUMER_ENABLED=%s)",
@@ -207,7 +227,8 @@ def start(self, worker) -> None:
             logger.exception("MQTT consumer failed to start")
             self.client = None
 
-    def stop(self, worker) -> None:
+    def stop(self, worker: Any) -> None:
+        """Stop the MQTT client's background loop and disconnect, if running."""
         if self.client is None:
             return
         logger.info("Stopping MQTT consumer bootstep")
diff --git a/backend/realtime_engine/sources/base.py b/backend/realtime_engine/sources/base.py
index 380f347..3785f5b 100644
--- a/backend/realtime_engine/sources/base.py
+++ b/backend/realtime_engine/sources/base.py
@@ -13,11 +13,19 @@
 
 from __future__ import annotations
 
-from typing import Protocol
+from collections.abc import Callable
+from typing import TYPE_CHECKING, Any, Protocol
+
+if TYPE_CHECKING:
+    # Type-checking only: the runtime import graph stays Django-free (see
+    # module docstring), but the real model gives accurate hover/mypy types.
+    from operations.models import Sensor
 
 
 class SourceAdapter(Protocol):
-    def fetch(self, sensor) -> list[tuple[str, dict]]:
+    """Structural contract for a telemetry source adapter."""
+
+    def fetch(self, sensor: "Sensor") -> list[tuple[str, dict]]:
         """Fetch and normalize telemetry for a sensor.
 
         Returns a list of ``(vehicle_id, position_payload)`` tuples. Each
@@ -32,14 +40,15 @@ def fetch(self, sensor) -> list[tuple[str, dict]]:
 _REGISTRY: dict[str, SourceAdapter] = {}
 
 
-def register(kind: str):
+def register(kind: str) -> Callable[[Any], Any]:
     """Class/function decorator registering an adapter under ``kind``.
 
     Usable on a class (instantiated once at registration time) or on an
     already-constructed adapter instance/function.
     """
 
-    def _decorator(adapter):
+    def _decorator(adapter: Any) -> Any:
+        """Register `adapter` (instantiating it first if it's a class) under `kind`."""
         _REGISTRY[kind] = adapter() if isinstance(adapter, type) else adapter
         return adapter
 
diff --git a/backend/realtime_engine/sources/http_json.py b/backend/realtime_engine/sources/http_json.py
index c3e7999..138180d 100644
--- a/backend/realtime_engine/sources/http_json.py
+++ b/backend/realtime_engine/sources/http_json.py
@@ -34,18 +34,25 @@
 from __future__ import annotations
 
 import logging
+from typing import TYPE_CHECKING, Any
 
 import requests
 
 from . import base
 from .transforms import get_by_path, km_to_m, kmh_to_ms, parse_cr_datetime
 
+if TYPE_CHECKING:
+    # Type-checking only: the runtime import graph stays Django-free (see
+    # module docstring), but the real model gives accurate hover/mypy types.
+    from operations.models import Sensor
+
 logger = logging.getLogger(__name__)
 
 DEFAULT_TIMEOUT_S = 5
 
 
-def _convert_unit(field: str, value, units: dict):
+def _convert_unit(field: str, value: Any, units: dict) -> Any:
+    """Convert `value` from the unit declared for `field` in `units` to SI, if known."""
     if value is None:
         return None
     unit = units.get(field)
@@ -123,12 +130,15 @@ def _extract_record(record: dict, mapping: dict) -> dict | None:
 class HttpJsonSourceAdapter:
     """Fetches vehicle positions from a generic HTTP+JSON endpoint."""
 
-    def fetch(self, sensor) -> list[tuple[str, dict]]:
+    def fetch(self, sensor: "Sensor") -> list[tuple[str, dict]]:
+        """Fetch and normalize position records from `sensor`'s HTTP+JSON endpoint."""
         url = sensor.source_http_url
         mapping = sensor.source_json_mapping or {}
 
         try:
-            response = requests.get(url, timeout=DEFAULT_TIMEOUT_S)
+            # source_http_url is a nullable DB field; a None here falls through
+            # to the except below rather than being type-safe. See task report.
+            response = requests.get(url, timeout=DEFAULT_TIMEOUT_S)  # type: ignore[arg-type]
             response.raise_for_status()
             body = response.json()
         except Exception:
@@ -162,7 +172,9 @@ def fetch(self, sensor) -> list[tuple[str, dict]]:
                 if not vehicle_id:
                     # Lazy access — never imported/evaluated at module scope,
                     # so this stays safe for isolated (non-DB) test runs.
-                    vehicle_id = str(sensor.equipment.vehicle_id)
+                    # equipment is nullable; a None here is caught by the
+                    # except below rather than being type-safe. See task report.
+                    vehicle_id = str(sensor.equipment.vehicle_id)  # type: ignore[union-attr]
 
                 results.append((vehicle_id, extracted["payload"]))
             except Exception:
diff --git a/backend/realtime_engine/sources/publisher.py b/backend/realtime_engine/sources/publisher.py
index c1ef34f..3d2dd43 100644
--- a/backend/realtime_engine/sources/publisher.py
+++ b/backend/realtime_engine/sources/publisher.py
@@ -11,6 +11,7 @@
 import json
 import logging
 import os
+from typing import cast
 
 import paho.mqtt.client as mqtt
 
@@ -23,6 +24,7 @@
 
 
 def position_topic(vehicle_id: str) -> str:
+    """Build the MQTT position topic for `vehicle_id`."""
     return POSITION_TOPIC_TEMPLATE.format(vehicle_id=vehicle_id)
 
 
@@ -42,19 +44,23 @@ def publish_position(client: mqtt.Client, vehicle_id: str, payload: dict) -> Non
 class MqttPublisher:
     """Thin wrapper managing a paho v2 client's connect/publish/disconnect cycle."""
 
-    def __init__(self, host: str | None = None, port: int | None = None):
+    def __init__(self, host: str | None = None, port: int | None = None) -> None:
+        """Configure the client's target host/port; connect() is called separately."""
         self.host = host or MQTT_HOST
         self.port = port or MQTT_PORT
         self._client: mqtt.Client | None = None
 
     def _build_client(self) -> mqtt.Client:
+        """Construct a fresh, unconnected paho v2-callback-API client."""
         return mqtt.Client(mqtt.CallbackAPIVersion.VERSION2)
 
     def connect(self) -> None:
+        """Build and connect the underlying MQTT client."""
         self._client = self._build_client()
         self._client.connect(self.host, self.port, keepalive=60)
 
     def disconnect(self) -> None:
+        """Disconnect and discard the underlying MQTT client, if connected."""
         if self._client is None:
             return
         try:
@@ -71,8 +77,10 @@ def publish_batch(self, records: list[tuple[str, dict]]) -> None:
         is logged (via ``publish_position``) without aborting the batch.
         """
         self.connect()
+        # connect() always sets _client; cast narrows the Optional for the type checker.
+        client = cast("mqtt.Client", self._client)
         try:
             for vehicle_id, payload in records:
-                publish_position(self._client, vehicle_id, payload)
+                publish_position(client, vehicle_id, payload)
         finally:
             self.disconnect()
diff --git a/backend/realtime_engine/sources/transforms.py b/backend/realtime_engine/sources/transforms.py
index cf242c6..c8271c0 100644
--- a/backend/realtime_engine/sources/transforms.py
+++ b/backend/realtime_engine/sources/transforms.py
@@ -13,6 +13,7 @@
 from __future__ import annotations
 
 from datetime import datetime
+from typing import Any
 from zoneinfo import ZoneInfo
 
 DEFAULT_TZ = "America/Costa_Rica"
@@ -46,7 +47,7 @@ def parse_cr_datetime(
     return int(aware.timestamp())
 
 
-def get_by_path(data: dict, path: str):
+def get_by_path(data: dict, path: str) -> Any:
     """Dotted-path getter over nested dicts, tolerant of missing keys.
 
     ``get_by_path({"a": {"b": 1}}, "a.b")`` -> ``1``.
diff --git a/backend/realtime_engine/tasks.py b/backend/realtime_engine/tasks.py
index 6b38d5c..102efe3 100644
--- a/backend/realtime_engine/tasks.py
+++ b/backend/realtime_engine/tasks.py
@@ -1,7 +1,9 @@
+"""Celery tasks for the realtime-engine worker: lifecycle events, staleness scanning, HTTP polling."""
+
 import logging
 import os
 from datetime import datetime, timezone
-from typing import Any
+from typing import TYPE_CHECKING, Any, cast
 
 import redis
 from celery import shared_task
@@ -10,6 +12,9 @@
 
 from runs.services.lifecycle import RunLifecycleService
 
+if TYPE_CHECKING:
+    from operations.models import Sensor
+
 logger = logging.getLogger(__name__)
 
 redis_client = redis.Redis(
@@ -20,8 +25,30 @@
 )
 
 
+def _smembers(key: str) -> set[str]:
+    """Read a Redis set as `set[str]`, narrowing away redis-py's shared Awaitable stub.
+
+    `redis_client` here is always the synchronous, `decode_responses=True`
+    client, but redis-py's `CoreCommands` mixin types every command
+    `Awaitable[X] | X` since it's shared with the async client — this cast
+    narrows to the sync branch that's actually returned.
+    """
+    return cast("set[str]", redis_client.smembers(key))
+
+
+def _get(key: str) -> str | None:
+    """Read a Redis string value, narrowing away redis-py's shared Awaitable stub."""
+    return cast("str | None", redis_client.get(key))
+
+
+def _hgetall(key: str) -> dict[str, str]:
+    """Read a Redis hash as `dict[str, str]`, narrowing away redis-py's shared Awaitable stub."""
+    return cast("dict[str, str]", redis_client.hgetall(key))
+
+
 @shared_task(queue="realtime_engine")
 def run_lifecycle_event(event: str, payload: dict[str, Any]) -> None:
+    """Dispatch a lifecycle event to `RunLifecycleService`, logging benign re-fires as warnings."""
     from runs.domain.lifecycle import RunLifecycleEvents, target_state_for_event
     from runs.services.exceptions import RunLifecycleError
 
@@ -70,10 +97,10 @@ def scan_stale_runs() -> str:
     """
     from runs.domain.detection.dispatch import detect_from_scan
 
-    run_ids = redis_client.smembers("runs:tracking")
+    run_ids = _smembers("runs:tracking")
     fired = 0
     for run_id in run_ids:
-        raw_last_seen = redis_client.get(f"runs:last_seen:{run_id}")
+        raw_last_seen = _get(f"runs:last_seen:{run_id}")
         if not raw_last_seen:
             continue
         try:
@@ -155,7 +182,8 @@ def fetch_positions() -> str:
         ).select_related("equipment__vehicle")
     )
 
-    def _sensor_vehicle_id(sensor) -> str | None:
+    def _sensor_vehicle_id(sensor: "Sensor") -> str | None:
+        """Resolve the vehicle id a sensor's equipment is currently assigned to."""
         equipment = getattr(sensor, "equipment", None)
         if equipment is None:
             return None
@@ -282,7 +310,7 @@ def process_position_update(run_id: str, vehicle_id: str) -> None:
     # original MQTT data since position is last-write-wins and speed survives
     # the validate_for_write → from_redis round-trip as a typed float.
     try:
-        raw_position = redis_client.hgetall(keys.position_key(vehicle_id))
+        raw_position = _hgetall(keys.position_key(vehicle_id))
         if raw_position:
             latest_position = position.from_redis(raw_position)
             from runs.domain.detection.dispatch import detect_from_telemetry
diff --git a/backend/realtime_engine/views.py b/backend/realtime_engine/views.py
index 60f00ef..9035dee 100644
--- a/backend/realtime_engine/views.py
+++ b/backend/realtime_engine/views.py
@@ -1 +1 @@
-# Create your views here.
+"""Django views for realtime_engine (none: this app exposes no HTTP endpoints)."""

From 7c4704dfb5684384042f432dc57d9aaaf051f1af Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 08:46:16 -0600
Subject: [PATCH 34/68] docs(schedule_engine): add one-liner docstrings and
 complete type hints

Adds pep257 one-liner docstrings on every public module/class/method/function
(ruff D1xx: 20 -> 0) and modern-syntax type hints on every signature across
backend/schedule_engine (non-test files only). builders.py gains a RedisLike
Protocol so `r` parameters type-check against both the real redis.Redis client
and the test suite's FakeRedis, resolving hgetall/smembers/get to their plain
(non-Awaitable) return types without per-call casts; tasks.py narrows at the
real-client boundary with cast(...), mirroring the established cast-helper
idiom in runs/domain/progression/producer.py and realtime_engine/tasks.py.

No behavior changes. filters.py's pre-existing broken EquipmentLog import
(dead code, unreferenced anywhere) is left as-is and documented in a comment
rather than fixed.
---
 backend/schedule_engine/admin.py     |  2 +
 backend/schedule_engine/apps.py      |  4 ++
 backend/schedule_engine/builders.py  | 36 ++++++++++++++--
 backend/schedule_engine/consumers.py | 18 ++++++--
 backend/schedule_engine/filters.py   | 10 +++++
 backend/schedule_engine/models.py    |  2 +
 backend/schedule_engine/routing.py   |  2 +
 backend/schedule_engine/tasks.py     | 63 +++++++++++++++++++---------
 backend/schedule_engine/urls.py      |  1 +
 backend/schedule_engine/views.py     |  1 +
 10 files changed, 112 insertions(+), 27 deletions(-)

diff --git a/backend/schedule_engine/admin.py b/backend/schedule_engine/admin.py
index 846f6b4..9b66e7f 100644
--- a/backend/schedule_engine/admin.py
+++ b/backend/schedule_engine/admin.py
@@ -1 +1,3 @@
+"""Django admin registrations for schedule_engine (none; the app has no models)."""
+
 # Register your models here.
diff --git a/backend/schedule_engine/apps.py b/backend/schedule_engine/apps.py
index 74bc222..5713ad4 100644
--- a/backend/schedule_engine/apps.py
+++ b/backend/schedule_engine/apps.py
@@ -1,6 +1,10 @@
+"""Django app configuration for schedule_engine."""
+
 from django.apps import AppConfig
 
 
 class ScheduleEngineConfig(AppConfig):
+    """Django app config for schedule_engine, the GTFS-RT feed-projection app."""
+
     default_auto_field = "django.db.models.BigAutoField"
     name = "schedule_engine"
diff --git a/backend/schedule_engine/builders.py b/backend/schedule_engine/builders.py
index 70ee6f4..a92ed29 100644
--- a/backend/schedule_engine/builders.py
+++ b/backend/schedule_engine/builders.py
@@ -14,6 +14,7 @@
 """
 
 from datetime import datetime
+from typing import Protocol
 
 from runs.domain.telemetry import (
     congestion_level,
@@ -26,6 +27,33 @@
 )
 
 
+class RedisLike(Protocol):
+    """Structural type for the Redis client surface these builders call.
+
+    Declared with plain (non-``Awaitable``) return types on purpose: redis-py's
+    stubs type every command ``Awaitable[X] | X`` since the mixin is shared
+    with the async client, but callers here always pass the synchronous,
+    ``decode_responses=True`` client. Typing the parameter against this
+    narrower structural protocol — rather than ``redis.Redis`` directly —
+    resolves calls like ``r.hgetall(...)`` to the plain ``X`` branch without
+    per-call casts, and lets tests pass a dict-backed fake instead of a real
+    client. Real callers narrow at the boundary (see ``tasks.py``), mirroring
+    the cast-helper idiom in ``runs/domain/progression/producer.py``.
+    """
+
+    def hgetall(self, key: str) -> dict[str, str]:
+        """Return the hash stored at ``key`` as a string-keyed, string-valued dict."""
+        ...
+
+    def smembers(self, key: str) -> set[str]:
+        """Return the members of the set stored at ``key``."""
+        ...
+
+    def get(self, key: str) -> str | None:
+        """Return the string value stored at ``key``, or ``None`` if absent."""
+        ...
+
+
 # ---------------------------------------------------------------------------
 # Shared helpers
 # ---------------------------------------------------------------------------
@@ -46,7 +74,7 @@ def get_entity_id(vehicle_id: str) -> str:
 # ---------------------------------------------------------------------------
 
 
-def build_vehicle_position_entity(r, run_id: str) -> dict | None:
+def build_vehicle_position_entity(r: RedisLike, run_id: str) -> dict | None:
     """Assemble one GTFS-RT VehiclePosition entity dict from Redis.
 
     Reads the per-entity hashes (written by the MQTT consumer and lifecycle
@@ -135,7 +163,7 @@ def build_vehicle_position_entity(r, run_id: str) -> dict | None:
     return entity
 
 
-def build_trip_update_entity(r, run_id: str) -> dict | None:
+def build_trip_update_entity(r: RedisLike, run_id: str) -> dict | None:
     """Assemble one GTFS-RT TripUpdate entity dict from Redis.
 
     Returns ``None`` when neither position nor stop-status data are present
@@ -238,7 +266,7 @@ def build_trip_update_entity(r, run_id: str) -> dict | None:
 # ---------------------------------------------------------------------------
 
 
-def build_vehicle_positions_feed(r) -> dict:
+def build_vehicle_positions_feed(r: RedisLike) -> dict:
     """Build a complete GTFS-RT VehiclePositions FeedMessage dict.
 
     Iterates ``runs:in_progress``, assembles one entity per run via
@@ -272,7 +300,7 @@ def build_vehicle_positions_feed(r) -> dict:
     return feed
 
 
-def build_trip_updates_feed(r) -> dict:
+def build_trip_updates_feed(r: RedisLike) -> dict:
     """Build a complete GTFS-RT TripUpdates FeedMessage dict.
 
     Iterates ``runs:in_progress``, assembles one entity per run via
diff --git a/backend/schedule_engine/consumers.py b/backend/schedule_engine/consumers.py
index 050b410..a47b6c6 100644
--- a/backend/schedule_engine/consumers.py
+++ b/backend/schedule_engine/consumers.py
@@ -1,25 +1,35 @@
+"""ASGI WebSocket consumer broadcasting schedule_engine build status to clients."""
+
 import json
+from typing import Any
+
 from channels.generic.websocket import AsyncWebsocketConsumer
 
 
 class StatusConsumer(AsyncWebsocketConsumer):
-    async def connect(self):
+    """WebSocket consumer that joins the ``status`` group and relays build-status messages."""
+
+    async def connect(self) -> None:
+        """Join the ``status`` broadcast group and accept the WebSocket connection."""
         self.status_group_name = "status"
         await self.channel_layer.group_add(self.status_group_name, self.channel_name)
         await self.accept()
 
-    async def disconnect(self, close_code):
+    async def disconnect(self, close_code: int) -> None:
+        """Leave the ``status`` broadcast group when the socket disconnects."""
         await self.channel_layer.group_discard(
             self.status_group_name, self.channel_name
         )
 
-    async def receive(self, text_data):
+    async def receive(self, text_data: str) -> None:
+        """Re-broadcast an incoming client message to the ``status`` group."""
         text_data_json = json.loads(text_data)
         message = text_data_json["message"]
         await self.channel_layer.group_send(
             self.status_group_name, {"type": "status_message", "message": message}
         )
 
-    async def status_message(self, event):
+    async def status_message(self, event: dict[str, Any]) -> None:
+        """Forward a ``status_message`` group event to this consumer's socket."""
         message = event["message"]
         await self.send(text_data=json.dumps({"message": message}))
diff --git a/backend/schedule_engine/filters.py b/backend/schedule_engine/filters.py
index 7671eb4..a16b575 100644
--- a/backend/schedule_engine/filters.py
+++ b/backend/schedule_engine/filters.py
@@ -1,8 +1,18 @@
+"""django-filter FilterSet for equipment logs.
+
+NOTE: unused/dead code — not imported anywhere in the codebase, and its
+``EquipmentLog`` import is stale (the model moved to the ``operations`` app
+in migration 0003/0005; it no longer exists on ``schedule_engine.models``).
+Left as-is per the zero-behavior-change constraint; see task report.
+"""
+
 import django_filters
 from .models import EquipmentLog
 
 
 class EquipmentLogFilter(django_filters.FilterSet):
+    """django-filter FilterSet exposing exact-match filtering by equipment."""
+
     class Meta:
         model = EquipmentLog
         fields = {
diff --git a/backend/schedule_engine/models.py b/backend/schedule_engine/models.py
index 6b20219..c4cb023 100644
--- a/backend/schedule_engine/models.py
+++ b/backend/schedule_engine/models.py
@@ -1 +1,3 @@
+"""Django models for schedule_engine (none; GTFS-RT builders read Redis, not the ORM)."""
+
 # Create your models here.
diff --git a/backend/schedule_engine/routing.py b/backend/schedule_engine/routing.py
index f815d60..079da91 100644
--- a/backend/schedule_engine/routing.py
+++ b/backend/schedule_engine/routing.py
@@ -1,3 +1,5 @@
+"""ASGI WebSocket URL routing for schedule_engine's status broadcast channel."""
+
 from django.urls import re_path
 
 from .consumers import StatusConsumer
diff --git a/backend/schedule_engine/tasks.py b/backend/schedule_engine/tasks.py
index 2bc3a83..2834323 100644
--- a/backend/schedule_engine/tasks.py
+++ b/backend/schedule_engine/tasks.py
@@ -1,24 +1,37 @@
+"""Celery tasks that build and publish the GTFS-RT/Schedule feed artifacts.
+
+Reads Redis state (written by ``realtime_engine`` only) via ``builders.py``
+and serializes the result to JSON + protobuf under ``feed/files/``. Also
+publishes the daily GTFS Schedule zip via ``feed.schedule.exporter``.
+"""
+
+import json
 import os
+from datetime import datetime
+from typing import TYPE_CHECKING, cast
+
+import redis
+from asgiref.sync import async_to_sync
 from celery import shared_task
 from channels.layers import get_channel_layer
-from asgiref.sync import async_to_sync
-import json
-import redis
-from datetime import datetime
 from django.conf import settings
-from google.transit import gtfs_realtime_pb2 as gtfs_rt
 from google.protobuf import json_format
+from google.transit import gtfs_realtime_pb2 as gtfs_rt
 
 from .builders import (
-    build_vehicle_positions_feed,
     build_trip_updates_feed,
+    build_vehicle_positions_feed,
 )
 
+if TYPE_CHECKING:
+    from .builders import RedisLike
 
-_redis = None
 
+_redis: redis.Redis | None = None
 
-def get_redis():
+
+def get_redis() -> redis.Redis:
+    """Return the module-level Redis client, lazily creating it on first use."""
     global _redis
     if _redis is None:
         _redis = redis.Redis(
@@ -30,16 +43,22 @@ def get_redis():
     return _redis
 
 
-def get_feed_version():
+def get_feed_version() -> str:
+    """Return the static schedule_engine GTFS-RT feed format version string."""
     return "1.0.0"
 
 
+def _smembers(r: redis.Redis, key: str) -> set[str]:
+    """Read a Redis set as `set[str]`, narrowing away redis-py's shared Awaitable stub."""
+    return cast("set[str]", r.smembers(key))
+
+
 @shared_task(queue="schedule_engine")
-def build_vehicle_positions():
-    """Build the VehiclePosition feed message."""
+def build_vehicle_positions() -> str:
+    """Build the VehiclePositions GTFS-RT feed and write it as JSON and protobuf."""
     r = get_redis()
 
-    feed_message = build_vehicle_positions_feed(r)
+    feed_message = build_vehicle_positions_feed(cast("RedisLike", r))
 
     output_dir = settings.BASE_DIR / "feed" / "files"
     output_dir.mkdir(parents=True, exist_ok=True)
@@ -57,12 +76,13 @@ def build_vehicle_positions():
 
 
 @shared_task(queue="schedule_engine")
-def build_trip_updates():
+def build_trip_updates() -> str:
+    """Build the TripUpdates GTFS-RT feed, write it as JSON/protobuf, and broadcast status."""
     r = get_redis()
 
-    feed_message = build_trip_updates_feed(r)
+    feed_message = build_trip_updates_feed(cast("RedisLike", r))
 
-    runs_in_progress = r.smembers("runs:in_progress")
+    runs_in_progress = _smembers(r, "runs:in_progress")
 
     output_dir = settings.BASE_DIR / "feed" / "files"
     output_dir.mkdir(parents=True, exist_ok=True)
@@ -96,13 +116,18 @@ def build_trip_updates():
 
 
 @shared_task(queue="schedule_engine")
-def build_alerts():
+def build_alerts() -> str:
+    """Return a placeholder string; the ServiceAlert feed builder is not yet implemented.
+
+    Deliberately NOT registered in the Celery beat schedule (see periodic_engine /
+    Django admin) — this task is a stub, not a working feed producer.
+    """
     return "Feed ServiceAlert built"
 
 
 @shared_task(queue="schedule_engine")
-def build_schedule():
-    """Build the GTFS Schedule zip and publish it to feed/files/gtfs.zip."""
+def build_schedule() -> str | None:
+    """Export the current GTFS Schedule to a zip and publish it under feed/files/."""
     import logging
 
     logger = logging.getLogger(__name__)
@@ -113,7 +138,7 @@ def build_schedule():
     feed = Feed.objects.filter(is_current=True).first()
     if feed is None:
         logger.warning("build_schedule: no current Feed found, skipping")
-        return
+        return None
 
     dest = publish_gtfs_zip(feed)
     return f"GTFS Schedule zip published: {dest} ({dest.stat().st_size} bytes)"
diff --git a/backend/schedule_engine/urls.py b/backend/schedule_engine/urls.py
index e69de29..32533c7 100644
--- a/backend/schedule_engine/urls.py
+++ b/backend/schedule_engine/urls.py
@@ -0,0 +1 @@
+"""HTTP URL patterns for schedule_engine (none; the app exposes Celery tasks and a WebSocket only)."""
diff --git a/backend/schedule_engine/views.py b/backend/schedule_engine/views.py
index e69de29..8913706 100644
--- a/backend/schedule_engine/views.py
+++ b/backend/schedule_engine/views.py
@@ -0,0 +1 @@
+"""HTTP views for schedule_engine (none; the app exposes Celery tasks and a WebSocket only)."""

From 1a4aa82270376474707b7f1a94514fdc3d8548c8 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 08:51:20 -0600
Subject: [PATCH 35/68] refactor(schedule_engine): drop dead EquipmentLogFilter

filters.py imported EquipmentLog from schedule_engine.models, but that
model was removed from this app in migrations 0003/0005 (now lives in
operations); grep-verified unreferenced anywhere in the codebase.
---
 backend/schedule_engine/filters.py | 20 --------------------
 1 file changed, 20 deletions(-)
 delete mode 100644 backend/schedule_engine/filters.py

diff --git a/backend/schedule_engine/filters.py b/backend/schedule_engine/filters.py
deleted file mode 100644
index a16b575..0000000
--- a/backend/schedule_engine/filters.py
+++ /dev/null
@@ -1,20 +0,0 @@
-"""django-filter FilterSet for equipment logs.
-
-NOTE: unused/dead code — not imported anywhere in the codebase, and its
-``EquipmentLog`` import is stale (the model moved to the ``operations`` app
-in migration 0003/0005; it no longer exists on ``schedule_engine.models``).
-Left as-is per the zero-behavior-change constraint; see task report.
-"""
-
-import django_filters
-from .models import EquipmentLog
-
-
-class EquipmentLogFilter(django_filters.FilterSet):
-    """django-filter FilterSet exposing exact-match filtering by equipment."""
-
-    class Meta:
-        model = EquipmentLog
-        fields = {
-            "equipment": ["exact"],
-        }

From 1b88731df16ef9bba72ad8d91fa66af2f96526b6 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 09:19:06 -0600
Subject: [PATCH 36/68] docs(feed): add one-liner docstrings and complete type
 hints

Adds pep257 one-liner docstrings to every public module, class, method,
and magic method in backend/feed (ruff D1xx: 53 -> 0), and completes
type hints on all signatures. Fixes the 12 django-manager-missing findings
on Feed/GeoShape with a documented type: ignore (the reverse-manager
resolution failure is an upstream mypy_django_plugin limitation with
FK owners that subclass cross-package abstract gtfs.models.Base* models;
an explicit RelatedManager stub and an explicit manager declaration were
both tried and neither changes the outcome) and the 2 attr-defined
findings in schedule/exporter.py via typing.cast. Also swaps two star
imports (admin.py, fixtures/create_fixture.py) for explicit imports to
clear the F403/F405 noise they produced. No behavior changes.
---
 backend/feed/admin.py                         |  28 +++-
 backend/feed/apps.py                          |   4 +
 backend/feed/fixtures/create_fixture.py       |   9 +-
 backend/feed/fixtures/shape2geoshape.py       |   2 +
 backend/feed/fixtures/translator_single.py    |   2 +
 .../feed/management/commands/export_gtfs.py   |   7 +-
 backend/feed/models.py                        | 144 +++++++++++++-----
 backend/feed/schedule/exporter.py             |  12 +-
 backend/feed/urls.py                          |   2 +
 backend/feed/views.py                         |  28 +++-
 10 files changed, 185 insertions(+), 53 deletions(-)

diff --git a/backend/feed/admin.py b/backend/feed/admin.py
index f15a86c..0e4c89c 100644
--- a/backend/feed/admin.py
+++ b/backend/feed/admin.py
@@ -1,11 +1,37 @@
+"""Django admin registrations for the feed app's GTFS Schedule and Realtime models."""
+
 from django.contrib.gis import admin
 
-from .models import *
+from .models import (
+    Agency,
+    Calendar,
+    CalendarDate,
+    FareAttribute,
+    FareRule,
+    Feed,
+    FeedInfo,
+    FeedMessage,
+    GeoShape,
+    GTFSProvider,
+    Route,
+    RouteStop,
+    Shape,
+    Stop,
+    StopTime,
+    StopTimeUpdate,
+    Trip,
+    TripDuration,
+    TripTime,
+    TripUpdate,
+    VehiclePosition,
+)
 
 # Register your models here.
 
 
 class StopAdmin(admin.GISModelAdmin):
+    """Admin form for Stop that hides the raw lat/lon fields in favor of stop_point."""
+
     exclude = ["stop_lat", "stop_lon"]
 
 
diff --git a/backend/feed/apps.py b/backend/feed/apps.py
index 8f0ead5..983ab94 100644
--- a/backend/feed/apps.py
+++ b/backend/feed/apps.py
@@ -1,5 +1,9 @@
+"""Django app config for the feed app."""
+
 from django.apps import AppConfig
 
 
 class FeedConfig(AppConfig):
+    """App config for the GTFS Schedule data app."""
+
     name = "feed"
diff --git a/backend/feed/fixtures/create_fixture.py b/backend/feed/fixtures/create_fixture.py
index 6666905..38ece98 100644
--- a/backend/feed/fixtures/create_fixture.py
+++ b/backend/feed/fixtures/create_fixture.py
@@ -1,3 +1,5 @@
+"""One-off script: build gtfs.json fixture data from the UCR bus GTFS Excel workbook."""
+
 import pandas as pd
 import json
 import sys
@@ -13,16 +15,15 @@
 # Setup Django
 django.setup()
 
-from datetime import datetime
-from django.db.models import (
+from datetime import datetime  # noqa: E402 (must follow django.setup() above)
+from django.db.models import (  # noqa: E402
     DateField,
     IntegerField,
     FloatField,
     DecimalField,
     ForeignKey,
 )
-from django.apps import apps
-from feed.models import *
+from django.apps import apps  # noqa: E402
 
 # Initialize a dictionary to hold the model field mappings
 model_field_mapping = {}
diff --git a/backend/feed/fixtures/shape2geoshape.py b/backend/feed/fixtures/shape2geoshape.py
index c81c150..a2f8e22 100644
--- a/backend/feed/fixtures/shape2geoshape.py
+++ b/backend/feed/fixtures/shape2geoshape.py
@@ -1,3 +1,5 @@
+"""One-off script: group shapes.json points by shape_id into geoshapes.json LINESTRINGs."""
+
 import json
 from collections import defaultdict
 
diff --git a/backend/feed/fixtures/translator_single.py b/backend/feed/fixtures/translator_single.py
index b41637d..736112f 100644
--- a/backend/feed/fixtures/translator_single.py
+++ b/backend/feed/fixtures/translator_single.py
@@ -1,3 +1,5 @@
+"""One-off script: convert an embedded shape-points CSV literal into shapes.json."""
+
 import csv
 import json
 
diff --git a/backend/feed/management/commands/export_gtfs.py b/backend/feed/management/commands/export_gtfs.py
index ac36b91..c8742a3 100644
--- a/backend/feed/management/commands/export_gtfs.py
+++ b/backend/feed/management/commands/export_gtfs.py
@@ -1,5 +1,7 @@
 """Management command: export the current GTFS feed to feed/files/gtfs.zip."""
 
+from typing import Any
+
 from django.core.management.base import BaseCommand, CommandError
 
 from feed.models import Feed
@@ -7,9 +9,12 @@
 
 
 class Command(BaseCommand):
+    """Export the current GTFS feed (is_current=True) to feed/files/gtfs.zip."""
+
     help = "Export the current GTFS feed (is_current=True) to feed/files/gtfs.zip"
 
-    def handle(self, *args, **options) -> None:
+    def handle(self, *args: Any, **options: Any) -> None:
+        """Locate the current Feed and publish its GTFS Schedule zip to disk."""
         feed = Feed.objects.filter(is_current=True).first()
         if feed is None:
             raise CommandError(
diff --git a/backend/feed/models.py b/backend/feed/models.py
index 4c753e0..add6071 100644
--- a/backend/feed/models.py
+++ b/backend/feed/models.py
@@ -1,4 +1,8 @@
+"""GTFS Schedule Django models, plus GTFSProvider/Feed for feed versioning."""
+
 import re
+from typing import TYPE_CHECKING, Any
+
 from django.db.models import UniqueConstraint
 from django.core.exceptions import ValidationError
 from django.contrib.gis.db import models
@@ -17,8 +21,12 @@
     BaseFeedInfo,
 )
 
+if TYPE_CHECKING:
+    from django.db.models.fields.related_descriptors import RelatedManager
+
 
-def validate_no_spaces_or_special_symbols(value):
+def validate_no_spaces_or_special_symbols(value: str) -> None:
+    """Reject values containing spaces or characters outside alphanumerics and underscores."""
     if re.search(r"[^a-zA-Z0-9_]", value):
         raise ValidationError(
             "Este campo no puede contener espacios ni símbolos especiales, solamente letras, números y guiones bajos."
@@ -73,7 +81,8 @@ class GTFSProvider(models.Model):
         help_text="¿Está activo el proveedor de datos? Si no, no se importarán los datos de este proveedor.",
     )
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the provider's display name and code."""
         return f"{self.name} ({self.code})"
 
 
@@ -82,7 +91,19 @@ def __str__(self):
 # -------------
 
 
-class Feed(models.Model):
+# mypy_django_plugin can't resolve the reverse managers below (agency_set,
+# stop_set, ...): each FK owner (Agency, Stop, Route, Calendar, CalendarDate,
+# Shape, Trip, StopTime, FareAttribute, FareRule, FeedInfo) is a concrete
+# subclass of an *abstract* Base* model imported from the separate `gtfs`
+# package (gtfs-django), and the plugin's `_default_manager` resolution for
+# such cross-package abstract-base subclasses never completes (confirmed:
+# neither an explicit `if TYPE_CHECKING: agency_set: RelatedManager[...]`
+# stub nor an explicit `objects = models.Manager()` on the FK owner changes
+# the outcome). This looks like an upstream django-stubs limitation, not a
+# real bug in these models.
+class Feed(models.Model):  # type: ignore[django-manager-missing]
+    """One retrieved version of a GTFS Schedule feed from a provider."""
+
     feed_id = models.CharField(max_length=100, primary_key=True, unique=True)
     gtfs_provider = models.ForeignKey(
         GTFSProvider, on_delete=models.SET_NULL, blank=True, null=True
@@ -92,7 +113,21 @@ class Feed(models.Model):
     is_current = models.BooleanField(blank=True, null=True)
     retrieved_at = models.DateTimeField(auto_now_add=True)
 
-    def __str__(self):
+    if TYPE_CHECKING:
+        agency_set: RelatedManager["Agency"]
+        stop_set: RelatedManager["Stop"]
+        route_set: RelatedManager["Route"]
+        calendar_set: RelatedManager["Calendar"]
+        calendardate_set: RelatedManager["CalendarDate"]
+        shape_set: RelatedManager["Shape"]
+        trip_set: RelatedManager["Trip"]
+        stoptime_set: RelatedManager["StopTime"]
+        fareattribute_set: RelatedManager["FareAttribute"]
+        farerule_set: RelatedManager["FareRule"]
+        feedinfo_set: RelatedManager["FeedInfo"]
+
+    def __str__(self) -> str:
+        """Return the feed's identifier."""
         return self.feed_id
 
 
@@ -109,7 +144,8 @@ class Meta:
         ]
         verbose_name_plural = "agencies"
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the agency's name."""
         return self.agency_name
 
 
@@ -144,7 +180,8 @@ class Meta:
         ]
 
     # Build stop_point or stop_lat and stop_lon
-    def save(self, *args, **kwargs):
+    def save(self, *args: Any, **kwargs: Any) -> None:
+        """Populate stop_lat/stop_lon from stop_point, or stop_point from stop_lat/stop_lon, before saving."""
         if self.stop_point:
             self.stop_lat = self.stop_point.y
             self.stop_lon = self.stop_point.x
@@ -152,7 +189,8 @@ def save(self, *args, **kwargs):
             self.stop_point = Point(self.stop_lon, self.stop_lat)
         super(Stop, self).save(*args, **kwargs)
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the stop's ID and name."""
         return f"{self.stop_id}: {self.stop_name}"
 
 
@@ -173,13 +211,15 @@ class Meta:
             UniqueConstraint(fields=["feed", "route_id"], name="unique_route_in_feed")
         ]
 
-    def save(self, *args, **kwargs):
+    def save(self, *args: Any, **kwargs: Any) -> None:
+        """Resolve and cache the linked Agency for this route before saving."""
         self.linked_agency = Agency.objects.get(
             feed=self.feed, agency_id=self.agency_id
         )
         super(Route, self).save(*args, **kwargs)
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the route's short and long names."""
         return f"{self.route_short_name}: {self.route_long_name}"
 
 
@@ -197,7 +237,8 @@ class Meta:
             )
         ]
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the service's identifier."""
         return self.service_id
 
 
@@ -223,13 +264,15 @@ class Meta:
             )
         ]
 
-    def save(self, *args, **kwargs):
+    def save(self, *args: Any, **kwargs: Any) -> None:
+        """Resolve and cache the linked Calendar for this exception before saving."""
         self.linked_service = Calendar.objects.get(
             feed=self.feed, service_id=self.service_id
         )
         super(CalendarDate, self).save(*args, **kwargs)
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the holiday name and service ID."""
         return f"{self.holiday_name} ({self.service_id})"
 
 
@@ -248,7 +291,8 @@ class Meta:
             )
         ]
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the shape's ID and point sequence."""
         return f"{self.shape_id}: {self.shape_pt_sequence}"
 
 
@@ -273,14 +317,16 @@ class Meta:
             UniqueConstraint(fields=["feed", "trip_id"], name="unique_trip_in_feed")
         ]
 
-    def save(self, *args, **kwargs):
+    def save(self, *args: Any, **kwargs: Any) -> None:
+        """Resolve and cache the linked Route and Calendar for this trip before saving."""
         self.linked_route = Route.objects.get(feed=self.feed, route_id=self.route_id)
         self.linked_service = Calendar.objects.get(
             feed=self.feed, service_id=self.service_id
         )
         super(Trip, self).save(*args, **kwargs)
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the trip's identifier."""
         return self.trip_id
 
 
@@ -305,12 +351,14 @@ class Meta:
             )
         ]
 
-    def save(self, *args, **kwargs):
+    def save(self, *args: Any, **kwargs: Any) -> None:
+        """Resolve and cache the linked Trip and Stop for this stop time before saving."""
         self.linked_trip = Trip.objects.get(feed=self.feed, trip_id=self.trip_id)
         self.linked_stop = Stop.objects.get(feed=self.feed, stop_id=self.stop_id)
         super(StopTime, self).save(*args, **kwargs)
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the trip ID, stop ID, and stop sequence."""
         return f"{self.trip_id}: {self.stop_id} ({self.stop_sequence})"
 
 
@@ -331,14 +379,16 @@ class Meta:
             )
         ]
 
-    def save(self, *args, **kwargs):
+    def save(self, *args: Any, **kwargs: Any) -> None:
+        """Resolve and cache the linked Agency for this fare, if any, before saving."""
         if self.agency_id:
             self.linked_agency = Agency.objects.get(
                 feed=self.feed, agency_id=self.agency_id
             )
         super(FareAttribute, self).save(*args, **kwargs)
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the fare's identifier."""
         return self.fare_id
 
 
@@ -370,14 +420,16 @@ class Meta:
             )
         ]
 
-    def save(self, *args, **kwargs):
+    def save(self, *args: Any, **kwargs: Any) -> None:
+        """Resolve and cache the linked FareAttribute and Route for this rule before saving."""
         self.linked_fare = FareAttribute.objects.get(
             feed=self.feed, fare_id=self.fare_id
         )
         self.linked_route = Route.objects.get(feed=self.feed, route_id=self.route_id)
         super(FareRule, self).save(*args, **kwargs)
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the fare ID and route ID."""
         return f"{self.fare_id}: {self.route_id}"
 
 
@@ -388,7 +440,8 @@ class FeedInfo(BaseFeedInfo):
 
     feed = models.ForeignKey(Feed, on_delete=models.CASCADE)
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the feed publisher name and version."""
         return f"{self.feed_publisher_name}: {self.feed_version}"
 
 
@@ -397,7 +450,10 @@ def __str__(self):
 # ----------------
 
 
-class GeoShape(models.Model):
+# Same mypy_django_plugin limitation as Feed above: Trip (the FK owner via
+# Trip.geoshape) subclasses the cross-package abstract BaseTrip, so the
+# plugin can't resolve GeoShape's reverse `trip_set` manager either.
+class GeoShape(models.Model):  # type: ignore[django-manager-missing]
     """Rules for drawing lines on a map to represent a transit organization's routes.
     Maps to shapes.txt in the GTFS feed.
     """
@@ -425,7 +481,11 @@ class Meta:
             )
         ]
 
-    def __str__(self):
+    if TYPE_CHECKING:
+        trip_set: RelatedManager["Trip"]
+
+    def __str__(self) -> str:
+        """Return the geoshape's identifier."""
         return self.shape_id
 
 
@@ -457,13 +517,15 @@ class Meta:
             )
         ]
 
-    def save(self, *args, **kwargs):
+    def save(self, *args: Any, **kwargs: Any) -> None:
+        """Resolve and cache the linked Route, GeoShape, and Stop for this entry before saving."""
         self.linked_route = Route.objects.get(feed=self.feed, route_id=self.route_id)
         self.linked_shape = GeoShape.objects.get(feed=self.feed, shape_id=self.shape_id)
         self.linked_stop = Stop.objects.get(feed=self.feed, stop_id=self.stop_id)
         super(RouteStop, self).save(*args, **kwargs)
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the route, stop, shape, and sequence."""
         return f"{self.route_id}: {self.stop_id} ({self.shape_id} {self.stop_sequence})"
 
 
@@ -503,7 +565,8 @@ class Meta:
             )
         ]
 
-    def save(self, *args, **kwargs):
+    def save(self, *args: Any, **kwargs: Any) -> None:
+        """Resolve and cache the linked Route, Shape, and Calendar for this duration before saving."""
         self.linked_route = Route.objects.get(feed=self.feed, route_id=self.route_id)
         self.linked_shape = Shape.objects.get(feed=self.feed, shape_id=self.shape_id)
         self.linked_service = Calendar.objects.get(
@@ -511,7 +574,8 @@ def save(self, *args, **kwargs):
         )
         super(TripDuration, self).save(*args, **kwargs)
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the route, service, and time window."""
         return (
             f"{self.route_id}: {self.service_id} ({self.start_time} - {self.end_time})"
         )
@@ -543,12 +607,14 @@ class Meta:
             )
         ]
 
-    def save(self, *args, **kwargs):
+    def save(self, *args: Any, **kwargs: Any) -> None:
+        """Resolve and cache the linked Trip and Stop for this timepoint before saving."""
         self.linked_trip = Trip.objects.get(feed=self.feed, trip_id=self.trip_id)
         self.linked_stop = Stop.objects.get(feed=self.feed, stop_id=self.stop_id)
         super(TripTime, self).save(*args, **kwargs)
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the trip ID, stop ID, and departure time."""
         return f"{self.trip_id}: {self.stop_id} ({self.departure_time})"
 
 
@@ -582,7 +648,8 @@ class FeedMessage(models.Model):
     class Meta:
         ordering = ["-timestamp"]
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the entity type and timestamp."""
         return f"{self.entity_type} ({self.timestamp})"
 
 
@@ -623,7 +690,8 @@ class TripUpdate(models.Model):
     # Delay (int32)
     delay = models.IntegerField(blank=True, null=True)
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the entity ID and source feed message."""
         return f"{self.entity_id} ({self.feed_message})"
 
 
@@ -660,7 +728,8 @@ class StopTimeUpdate(models.Model):
     # ScheduleRelationship (enum)
     schedule_relationship = models.CharField(max_length=255, blank=True, null=True)
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the stop ID and parent trip update."""
         return f"{self.stop_id} ({self.trip_update})"
 
 
@@ -730,13 +799,15 @@ class VehiclePosition(models.Model):
 
     # CarriageDetails (message): not implemented
 
-    def save(self, *args, **kwargs):
+    def save(self, *args: Any, **kwargs: Any) -> None:
+        """Derive vehicle_position_point from the vehicle's latitude and longitude before saving."""
         self.vehicle_position_point = Point(
             self.vehicle_position_longitude, self.vehicle_position_latitude
         )
         super(VehiclePosition, self).save(*args, **kwargs)
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the entity ID and source feed message."""
         return f"{self.entity_id} ({self.feed_message})"
 
 
@@ -814,5 +885,6 @@ class Alert(models.Model):
     )
     informed_entity = models.JSONField(help_text="Entidades informadas por la alerta.")
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the alert's identifier."""
         return self.alert_id
diff --git a/backend/feed/schedule/exporter.py b/backend/feed/schedule/exporter.py
index 5b128ad..62f57f2 100644
--- a/backend/feed/schedule/exporter.py
+++ b/backend/feed/schedule/exporter.py
@@ -12,8 +12,9 @@
 import csv
 import io
 import zipfile
+from datetime import date, time
 from pathlib import Path
-from typing import TYPE_CHECKING
+from typing import TYPE_CHECKING, cast
 
 from django.db import models as db_models
 
@@ -69,9 +70,12 @@ def _format_value(field: db_models.Field, value: object) -> str:
     if isinstance(field, db_models.DateField) and not isinstance(
         field, db_models.DateTimeField
     ):
-        return value.strftime("%Y%m%d")  # type: ignore[union-attr]
+        # `field`'s isinstance check narrows the *field* type, not `value`
+        # (declared `object` for genericity); cast reflects what the field
+        # type guarantees about the value Django hands us at this column.
+        return cast(date, value).strftime("%Y%m%d")
     if isinstance(field, db_models.TimeField):
-        return value.strftime("%H:%M:%S")  # type: ignore[union-attr]
+        return cast(time, value).strftime("%H:%M:%S")
     if isinstance(field, db_models.BooleanField):
         return "1" if value else "0"
     return str(value)
@@ -86,7 +90,7 @@ def _write_txt(
     zf: zipfile.ZipFile,
     filename: str,
     model: type[db_models.Model],
-    queryset,
+    queryset: db_models.QuerySet[db_models.Model],
 ) -> None:
     """Write one GTFS ``.txt`` file into *zf*.
 
diff --git a/backend/feed/urls.py b/backend/feed/urls.py
index 25b6dfc..d61929f 100644
--- a/backend/feed/urls.py
+++ b/backend/feed/urls.py
@@ -1,3 +1,5 @@
+"""URL routes for the feed app's schedule and realtime endpoints."""
+
 from django.urls import path
 
 from . import views
diff --git a/backend/feed/views.py b/backend/feed/views.py
index ff86346..4a856a2 100644
--- a/backend/feed/views.py
+++ b/backend/feed/views.py
@@ -1,16 +1,26 @@
+"""Views serving the published GTFS Schedule zip and GTFS Realtime feed files."""
+
 from django.shortcuts import render
 from django.conf import settings
-from django.http import FileResponse, HttpResponseNotFound
+from django.http import (
+    FileResponse,
+    HttpRequest,
+    HttpResponse,
+    HttpResponseBase,
+    HttpResponseNotFound,
+)
 from django.views.decorators.clickjacking import xframe_options_exempt
 
 # Create your views here.
 
 
-def status(request):
+def status(request: HttpRequest) -> HttpResponse:
+    """Render the feed status page."""
     return render(request, "status.html")
 
 
-def schedule(request):
+def schedule(request: HttpRequest) -> HttpResponseBase:
+    """Serve the published GTFS Schedule zip, or 404 if it hasn't been exported yet."""
     file_path = settings.BASE_DIR / "feed" / "files" / "gtfs.zip"
     if not file_path.exists():
         return HttpResponseNotFound(
@@ -21,13 +31,15 @@ def schedule(request):
 
 
 @xframe_options_exempt
-def vehicle_json(request):
+def vehicle_json(request: HttpRequest) -> HttpResponseBase:
+    """Serve the published VehiclePositions feed as JSON."""
     file_path = settings.BASE_DIR / "feed" / "files" / "vehicle_positions.json"
     return FileResponse(open(file_path, "rb"), filename="vehicle_positions.json")
 
 
 @xframe_options_exempt
-def vehicle_pb(request):
+def vehicle_pb(request: HttpRequest) -> HttpResponseBase:
+    """Serve the published VehiclePositions feed as a protobuf."""
     file_path = settings.BASE_DIR / "feed" / "files" / "vehicle_positions.pb"
     return FileResponse(
         open(file_path, "rb"), as_attachment=True, filename="vehicle_positions.pb"
@@ -35,13 +47,15 @@ def vehicle_pb(request):
 
 
 @xframe_options_exempt
-def trip_updates_json(request):
+def trip_updates_json(request: HttpRequest) -> HttpResponseBase:
+    """Serve the published TripUpdates feed as JSON."""
     file_path = settings.BASE_DIR / "feed" / "files" / "trip_updates.json"
     return FileResponse(open(file_path, "rb"), filename="trip_updates.json")
 
 
 @xframe_options_exempt
-def trip_updates_pb(request):
+def trip_updates_pb(request: HttpRequest) -> HttpResponseBase:
+    """Serve the published TripUpdates feed as a protobuf."""
     file_path = settings.BASE_DIR / "feed" / "files" / "trip_updates.pb"
     return FileResponse(
         open(file_path, "rb"), as_attachment=True, filename="trip_updates.pb"

From b8cd8c75fc6e34e3e970b7c3839479055bb3aacf Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 09:46:15 -0600
Subject: [PATCH 37/68] docs(api): add one-liner docstrings and complete type
 hints

Fills ruff D1xx gaps (module/class/method docstrings) across api's DRF
viewsets and serializers, writing class docstrings as user-facing
resource descriptions for the browsable API/OpenAPI schema. Adds full
param/return type hints to custom APIView methods and serializer
methods; resolves the mypy errors those annotations newly surface
(None-narrowing asserts, RunLifecycleEvents(str) reconstruction,
date|datetime union) and documents two pre-existing broken queries
(RouteStop/TripTime field-name mismatches) with targeted type: ignore
rather than fixing the underlying behavior. Also replaces
serializers.py's `from feed.models import *` with an explicit import
list to clear F403/F405, matching views.py's existing style. No
runtime behavior changes.
---
 backend/api/admin.py       |  2 +
 backend/api/apps.py        |  4 ++
 backend/api/models.py      |  2 +
 backend/api/serializers.py | 83 ++++++++++++++++++++++++++++++--
 backend/api/urls.py        |  2 +
 backend/api/views.py       | 97 +++++++++++++++++++++++++++++++-------
 6 files changed, 170 insertions(+), 20 deletions(-)

diff --git a/backend/api/admin.py b/backend/api/admin.py
index 846f6b4..95ce3c8 100644
--- a/backend/api/admin.py
+++ b/backend/api/admin.py
@@ -1 +1,3 @@
+"""Django admin registrations for the api app (none; api has no models of its own)."""
+
 # Register your models here.
diff --git a/backend/api/apps.py b/backend/api/apps.py
index 878e7d5..7f9f5c3 100644
--- a/backend/api/apps.py
+++ b/backend/api/apps.py
@@ -1,6 +1,10 @@
+"""Django app configuration for the api app."""
+
 from django.apps import AppConfig
 
 
 class ApiConfig(AppConfig):
+    """Configure the api app (DRF ViewSets/serializers exposing GTFS and run data)."""
+
     default_auto_field = "django.db.models.BigAutoField"
     name = "api"
diff --git a/backend/api/models.py b/backend/api/models.py
index 6b20219..00fef9d 100644
--- a/backend/api/models.py
+++ b/backend/api/models.py
@@ -1 +1,3 @@
+"""Django models for the api app (none; api is a REST layer over feed/runs/operations models)."""
+
 # Create your models here.
diff --git a/backend/api/serializers.py b/backend/api/serializers.py
index 61a4210..11ed918 100644
--- a/backend/api/serializers.py
+++ b/backend/api/serializers.py
@@ -1,3 +1,5 @@
+"""DRF serializers for the operations, runs, and GTFS Schedule domains exposed by the api app."""
+
 from operations.models import (
     Company,
     Operator,
@@ -14,7 +16,20 @@
     OccupancyStatus,
 )
 from runs.domain.lifecycle import RunLifecycleEvents
-from feed.models import *
+from feed.models import (
+    Agency,
+    Stop,
+    Route,
+    Calendar,
+    CalendarDate,
+    Shape,
+    GeoShape,
+    Trip,
+    StopTime,
+    FareAttribute,
+    FareRule,
+    FeedInfo,
+)
 from django.contrib.auth.models import User
 from rest_framework import serializers
 from rest_framework_gis.serializers import GeoFeatureModelSerializer, GeometryField
@@ -25,6 +40,8 @@
 
 
 class LoginSerializer(serializers.Serializer):
+    """Serialize an auth token issued alongside the authenticated operator's ID."""
+
     token = serializers.CharField()
     operator_id = serializers.CharField()
 
@@ -35,6 +52,8 @@ class LoginSerializer(serializers.Serializer):
 
 
 class CompanySerializer(serializers.HyperlinkedModelSerializer):
+    """Serialize a Company, the legal entity operating vehicles under a GTFS Agency."""
+
     agency = serializers.PrimaryKeyRelatedField(queryset=Agency.objects.all())
 
     class Meta:
@@ -45,6 +64,8 @@ class Meta:
 
 
 class OperatorSerializer(serializers.HyperlinkedModelSerializer):
+    """Serialize an Operator (driver, dispatcher, or administrator) and their companies."""
+
     user = serializers.PrimaryKeyRelatedField(queryset=User.objects.all())
     company = serializers.PrimaryKeyRelatedField(
         queryset=Company.objects.all(), many=True
@@ -57,6 +78,8 @@ class Meta:
 
 
 class DataProviderSerializer(serializers.HyperlinkedModelSerializer):
+    """Serialize a DataProvider, the owner of the telemetry equipment for a company."""
+
     company = serializers.PrimaryKeyRelatedField(
         queryset=Company.objects.all(), many=True
     )
@@ -68,6 +91,8 @@ class Meta:
 
 
 class VehicleSerializer(serializers.HyperlinkedModelSerializer):
+    """Serialize a Vehicle and its owning Company."""
+
     company = serializers.PrimaryKeyRelatedField(queryset=Company.objects.all())
 
     class Meta:
@@ -77,6 +102,8 @@ class Meta:
 
 
 class EquipmentSerializer(serializers.HyperlinkedModelSerializer):
+    """Serialize a telemetry Equipment unit and its owning provider/vehicle."""
+
     data_provider = serializers.PrimaryKeyRelatedField(
         queryset=DataProvider.objects.all()
     )
@@ -89,6 +116,8 @@ class Meta:
 
 
 class EquipmentLogSerializer(serializers.HyperlinkedModelSerializer):
+    """Serialize a historical snapshot of an Equipment unit's identity and status."""
+
     equipment = serializers.PrimaryKeyRelatedField(queryset=Equipment.objects.all())
     data_provider = serializers.PrimaryKeyRelatedField(
         queryset=DataProvider.objects.all()
@@ -102,6 +131,8 @@ class Meta:
 
 
 class RunSerializer(serializers.HyperlinkedModelSerializer):
+    """Serialize a Run with its assigned vehicle and operator (currently unused; no route registers it)."""
+
     vehicle = serializers.PrimaryKeyRelatedField(queryset=Vehicle.objects.all())
     operator = serializers.PrimaryKeyRelatedField(queryset=Operator.objects.all())
 
@@ -112,6 +143,8 @@ class Meta:
 
 
 class CreateRunSerializer(serializers.Serializer):
+    """Validate the payload for requesting a new run (vehicle, operator, and GTFS trip identifiers)."""
+
     vehicle_id = serializers.CharField(max_length=100)
     operator_id = serializers.CharField(max_length=100)
     route_id = serializers.CharField(max_length=100)
@@ -131,11 +164,15 @@ class CreateRunSerializer(serializers.Serializer):
 
 
 class RunUpdateSerializer(serializers.Serializer):
+    """Validate a run lifecycle update request: a lowercase `RunLifecycleEvents` value plus optional details."""
+
     event = serializers.ChoiceField(choices=RunLifecycleEvents)
     details = serializers.JSONField(required=False, default=dict)
 
 
 class PositionSerializer(serializers.HyperlinkedModelSerializer):
+    """Serialize a vehicle Position sample, exposing latitude/longitude alongside the raw point."""
+
     vehicle = serializers.PrimaryKeyRelatedField(queryset=Vehicle.objects.all())
     vehicle = serializers.PrimaryKeyRelatedField(queryset=Vehicle.objects.all())
     latitude = serializers.SerializerMethodField()
@@ -157,12 +194,14 @@ class Meta:
         ]
         ordering = ["id"]
 
-    def get_latitude(self, obj):
+    def get_latitude(self, obj: Position) -> float | None:
+        """Return the position's latitude (point.y), or None if no point is set."""
         if obj.point:
             return obj.point.y
         return None
 
-    def get_longitude(self, obj):
+    def get_longitude(self, obj: Position) -> float | None:
+        """Return the position's longitude (point.x), or None if no point is set."""
         if obj.point:
             return obj.point.x
         return None
@@ -175,6 +214,8 @@ def get_longitude(self, obj):
 
 
 class VehicleStopStatusSerializer(serializers.HyperlinkedModelSerializer):
+    """Serialize a vehicle's relationship to its current/next stop (GTFS-RT VehicleStopStatus)."""
+
     vehicle = serializers.PrimaryKeyRelatedField(queryset=Vehicle.objects.all())
 
     class Meta:
@@ -185,6 +226,8 @@ class Meta:
 
 
 class CongestionLevelSerializer(serializers.HyperlinkedModelSerializer):
+    """Serialize a vehicle's congestion level (GTFS-RT CongestionLevel)."""
+
     vehicle = serializers.PrimaryKeyRelatedField(queryset=Vehicle.objects.all())
 
     class Meta:
@@ -195,6 +238,8 @@ class Meta:
 
 
 class OccupancyStatusSerializer(serializers.HyperlinkedModelSerializer):
+    """Serialize a vehicle's passenger occupancy (GTFS-RT OccupancyStatus)."""
+
     vehicle = serializers.PrimaryKeyRelatedField(queryset=Vehicle.objects.all())
 
     class Meta:
@@ -210,6 +255,8 @@ class Meta:
 
 
 class AgencySerializer(serializers.HyperlinkedModelSerializer):
+    """Serialize a GTFS Agency (agency.txt)."""
+
     feed = serializers.PrimaryKeyRelatedField(read_only=True)
 
     class Meta:
@@ -218,6 +265,8 @@ class Meta:
 
 
 class StopSerializer(serializers.HyperlinkedModelSerializer):
+    """Serialize a GTFS Stop (stops.txt)."""
+
     feed = serializers.PrimaryKeyRelatedField(read_only=True)
 
     class Meta:
@@ -226,6 +275,8 @@ class Meta:
 
 
 class GeoStopSerializer(GeoFeatureModelSerializer):
+    """Serialize GTFS Stops as GeoJSON features keyed on their point geometry."""
+
     feed = serializers.PrimaryKeyRelatedField(read_only=True)
     stop_point = GeometryField()
 
@@ -236,6 +287,8 @@ class Meta:
 
 
 class RouteSerializer(serializers.HyperlinkedModelSerializer):
+    """Serialize a GTFS Route (routes.txt)."""
+
     feed = serializers.PrimaryKeyRelatedField(read_only=True)
 
     class Meta:
@@ -244,6 +297,8 @@ class Meta:
 
 
 class CalendarSerializer(serializers.HyperlinkedModelSerializer):
+    """Serialize a GTFS weekly service Calendar (calendar.txt)."""
+
     feed = serializers.PrimaryKeyRelatedField(read_only=True)
 
     class Meta:
@@ -252,6 +307,8 @@ class Meta:
 
 
 class CalendarDateSerializer(serializers.HyperlinkedModelSerializer):
+    """Serialize a GTFS CalendarDate service exception (calendar_dates.txt)."""
+
     feed = serializers.PrimaryKeyRelatedField(read_only=True)
 
     class Meta:
@@ -260,6 +317,8 @@ class Meta:
 
 
 class ShapeSerializer(serializers.HyperlinkedModelSerializer):
+    """Serialize a GTFS Shape point (shapes.txt)."""
+
     feed = serializers.PrimaryKeyRelatedField(read_only=True)
 
     class Meta:
@@ -268,6 +327,8 @@ class Meta:
 
 
 class GeoShapeSerializer(GeoFeatureModelSerializer):
+    """Serialize GTFS Shapes as GeoJSON LineString features."""
+
     feed = serializers.PrimaryKeyRelatedField(read_only=True)
     geometry = GeometryField()
 
@@ -278,6 +339,8 @@ class Meta:
 
 
 class TripSerializer(serializers.HyperlinkedModelSerializer):
+    """Serialize a GTFS Trip (trips.txt)."""
+
     feed = serializers.PrimaryKeyRelatedField(read_only=True)
 
     class Meta:
@@ -286,6 +349,8 @@ class Meta:
 
 
 class StopTimeSerializer(serializers.HyperlinkedModelSerializer):
+    """Serialize a GTFS StopTime (stop_times.txt)."""
+
     feed = serializers.PrimaryKeyRelatedField(read_only=True)
 
     class Meta:
@@ -294,6 +359,8 @@ class Meta:
 
 
 class FareAttributeSerializer(serializers.HyperlinkedModelSerializer):
+    """Serialize a GTFS FareAttribute (fare_attributes.txt)."""
+
     feed = serializers.PrimaryKeyRelatedField(read_only=True)
 
     class Meta:
@@ -302,6 +369,8 @@ class Meta:
 
 
 class FareRuleSerializer(serializers.HyperlinkedModelSerializer):
+    """Serialize a GTFS FareRule (fare_rules.txt)."""
+
     feed = serializers.PrimaryKeyRelatedField(read_only=True)
 
     class Meta:
@@ -310,6 +379,8 @@ class Meta:
 
 
 class FeedInfoSerializer(serializers.HyperlinkedModelSerializer):
+    """Serialize GTFS FeedInfo (feed_info.txt)."""
+
     feed = serializers.PrimaryKeyRelatedField(read_only=True)
 
     class Meta:
@@ -323,10 +394,14 @@ class Meta:
 
 
 class ServiceTodaySerializer(serializers.Serializer):
+    """Serialize a GTFS service ID active on a given date."""
+
     service_id = serializers.CharField()
 
 
 class WhichShapesSerializer(serializers.Serializer):
+    """Serialize the distinct shapes used by a route's stop sequence."""
+
     shape_id = serializers.CharField()
     direction_id = serializers.IntegerField()
     shape_name = serializers.CharField()
@@ -336,6 +411,8 @@ class WhichShapesSerializer(serializers.Serializer):
 
 
 class FindTripsSerializer(serializers.Serializer):
+    """Serialize a scheduled trip alongside its run's current lifecycle state, if any."""
+
     trip_id = serializers.CharField()
     trip_time = serializers.TimeField()
     run_lifecycle_state = serializers.CharField()
diff --git a/backend/api/urls.py b/backend/api/urls.py
index 94d90d3..a2ffefa 100644
--- a/backend/api/urls.py
+++ b/backend/api/urls.py
@@ -1,3 +1,5 @@
+"""URL routing for the api app: DRF router-registered resources plus custom run/GTFS endpoints."""
+
 from django.urls import include, path
 from rest_framework import routers
 
diff --git a/backend/api/views.py b/backend/api/views.py
index 9ff27e5..ce86a9f 100644
--- a/backend/api/views.py
+++ b/backend/api/views.py
@@ -1,8 +1,11 @@
+"""DRF views for the api app: operations/run resources, GTFS Schedule resources, and run lifecycle endpoints."""
+
 from django.conf import settings
-from django.http import FileResponse
+from django.http import FileResponse, HttpRequest
 from django.contrib.auth import authenticate
 from rest_framework import viewsets, status
 from rest_framework.views import APIView
+from rest_framework.request import Request
 from rest_framework.response import Response
 from rest_framework.exceptions import ValidationError
 from rest_framework.authentication import TokenAuthentication
@@ -79,9 +82,12 @@
     FindTripsSerializer,
 )
 from datetime import datetime
+from datetime import date as DateType
+from uuid import UUID
 
 
-def get_schema(request):
+def get_schema(request: HttpRequest) -> FileResponse:
+    """Serve the static GTFS Realtime OpenAPI schema (docs/schema/realtime.yml) as a file download."""
     file_path = settings.BASE_DIR / "api" / "realtime.yml"
     return FileResponse(
         open(file_path, "rb"), as_attachment=True, filename="realtime.yml"
@@ -90,7 +96,7 @@ def get_schema(request):
 
 @method_decorator(xframe_options_exempt, name="dispatch")
 class RedocView(SpectacularRedocView):
-    pass
+    """Render the ReDoc API docs page, exempted from clickjacking protection so it can be embedded."""
 
 
 # -------------
@@ -99,7 +105,10 @@ class RedocView(SpectacularRedocView):
 
 
 class LoginView(APIView):
-    def post(self, request):
+    """Authenticate an operator by username/password and issue a DRF auth token."""
+
+    def post(self, request: Request) -> Response:
+        """Validate credentials and return an auth token with the operator's basic info."""
         username = request.data.get("username")
         password = request.data.get("password")
         user = authenticate(username=username, password=password)
@@ -119,18 +128,24 @@ def post(self, request):
 
 
 class CompanyViewSet(viewsets.ModelViewSet):
+    """REST resource for Company records (the legal entities operating vehicles)."""
+
     queryset = Company.objects.all()
     serializer_class = CompanySerializer
     # authentication_classes = [TokenAuthentication]
 
 
 class DataProviderViewSet(viewsets.ModelViewSet):
+    """REST resource for DataProvider records (owners of telemetry equipment)."""
+
     queryset = DataProvider.objects.all()
     serializer_class = DataProviderSerializer
     authentication_classes = [TokenAuthentication]
 
 
 class VehicleViewSet(viewsets.ModelViewSet):
+    """REST resource for Vehicle records, filterable by company."""
+
     queryset = Vehicle.objects.all()
     serializer_class = VehicleSerializer
     filter_backends = [DjangoFilterBackend]
@@ -139,11 +154,14 @@ class VehicleViewSet(viewsets.ModelViewSet):
 
 
 class EquipmentViewSet(viewsets.ModelViewSet):
+    """REST resource for telemetry Equipment records."""
+
     queryset = Equipment.objects.all()
     serializer_class = EquipmentSerializer
     authentication_classes = [TokenAuthentication]
 
-    def create(self, request):
+    def create(self, request: Request) -> Response:
+        """Create an Equipment record and return only its ID."""
         serializer = self.get_serializer(data=request.data)
         serializer.is_valid(raise_exception=True)
         self.perform_create(serializer)
@@ -155,6 +173,8 @@ def create(self, request):
 
 
 class EquipmentLogViewSet(viewsets.ModelViewSet):
+    """REST resource for EquipmentLog records, the historical audit trail of Equipment changes."""
+
     queryset = EquipmentLog.objects.all()
     serializer_class = EquipmentLogSerializer
     filter_backends = [DjangoFilterBackend]
@@ -164,6 +184,8 @@ class EquipmentLogViewSet(viewsets.ModelViewSet):
 
 
 class OperatorViewSet(viewsets.ModelViewSet):
+    """REST resource for Operator records (drivers, dispatchers, administrators)."""
+
     queryset = Operator.objects.all()
     serializer_class = OperatorSerializer
     authentication_classes = [TokenAuthentication]
@@ -181,7 +203,8 @@ class CreateRunViewSet(APIView):
     It only allows the POST method with the new run data.
     """
 
-    def post(self, request):
+    def post(self, request: Request) -> Response:
+        """Register a run and drive it REQUESTED -> VALIDATED -> INITIALIZED, or report the failing step."""
         service = RunLifecycleService()
         # Serialization and validation of the input data
         try:
@@ -210,6 +233,10 @@ def post(self, request):
             )
         # Record creation puts the run in REQUESTED state (run_requested event)
         try:
+            # vehicle/operator_obj are guaranteed non-None here: the `if errors`
+            # check above already returned when either lookup came back empty.
+            assert vehicle is not None
+            assert operator_obj is not None
             run = Run.objects.create(**payload)
             run.vehicle.set([vehicle])
             run.operator.set([operator_obj])
@@ -259,7 +286,8 @@ class RunStateViewSet(APIView):
     It only allows the GET method with the run_id as path parameter.
     """
 
-    def get(self, request, run_id):
+    def get(self, request: Request, run_id: UUID) -> Response:
+        """Return the run's current lifecycle state, or 404 if the run does not exist."""
         run = Run.objects.filter(id=run_id).first()
         if not run:
             return Response(
@@ -279,7 +307,8 @@ class RunUpdateViewSet(APIView):
     It only allows the POST method with the event to process.
     """
 
-    def post(self, request, run_id):
+    def post(self, request: Request, run_id: UUID) -> Response:
+        """Process a lowercase run lifecycle event against the run's FSM and return the new state."""
         service = RunLifecycleService()
         serializer = RunUpdateSerializer(data=request.data)
         if not serializer.is_valid():
@@ -319,8 +348,12 @@ def post(self, request, run_id):
             )
         payload["event"] = event_value
         try:
+            # event_value was just checked against every RunLifecycleEvents
+            # value, so this reconstruction cannot raise; process_event wants
+            # the enum member itself (same convention as
+            # realtime_engine/tasks.py's run_lifecycle_event task).
             new_run_lifecycle_state, _guards, _actions = service.process_event(
-                event_value, payload
+                RunLifecycleEvents(event_value), payload
             )
         except RunLifecycleError as e:
             return Response(
@@ -342,7 +375,8 @@ class RunHistoryView(APIView):
     is authoritative even if a downstream action later fails).
     """
 
-    def get(self, request, run_id):
+    def get(self, request: Request, run_id: UUID) -> Response:
+        """Return the run's FSM transitions ordered by timestamp, or 404 if the run does not exist."""
         if not Run.objects.filter(id=run_id).exists():
             return Response(
                 {"status": "error", "errors": {"detail": f"run {run_id} not found"}},
@@ -371,24 +405,32 @@ def get(self, request, run_id):
 
 
 class PositionViewSet(viewsets.ModelViewSet):
+    """REST resource for vehicle Position samples (GPS/motion telemetry)."""
+
     queryset = Position.objects.all()
     serializer_class = PositionSerializer
     authentication_classes = [TokenAuthentication]
 
 
 class VehicleStopStatusViewSet(viewsets.ModelViewSet):
+    """REST resource for vehicle stop-status snapshots (GTFS-RT VehicleStopStatus)."""
+
     queryset = VehicleStopStatus.objects.all()
     serializer_class = VehicleStopStatusSerializer
     authentication_classes = [TokenAuthentication]
 
 
 class CongestionLevelViewSet(viewsets.ModelViewSet):
+    """REST resource for vehicle congestion-level snapshots (GTFS-RT CongestionLevel)."""
+
     queryset = CongestionLevel.objects.all()
     serializer_class = CongestionLevelSerializer
     authentication_classes = [TokenAuthentication]
 
 
 class OccupancyViewSet(viewsets.ModelViewSet):
+    """REST resource for vehicle occupancy snapshots (GTFS-RT OccupancyStatus)."""
+
     queryset = OccupancyStatus.objects.all()
     serializer_class = OccupancyStatusSerializer
     authentication_classes = [TokenAuthentication]
@@ -590,7 +632,13 @@ class FeedInfoViewSet(viewsets.ModelViewSet):
 
 
 class ServiceTodayView(APIView):
-    def get(self, request):
+    """Endpoint returning the GTFS service IDs active on a given (or today's) date."""
+
+    def get(self, request: Request) -> Response:
+        """Return service IDs active on `?date=YYYY-MM-DD` (default today), from exceptions or the weekly calendar."""
+        # `date` holds a full `datetime` when parsed from the query param, or a
+        # bare `date` when defaulted to today; both work as GTFS date filters.
+        date: datetime | DateType
         if request.query_params.get("date"):
             date = datetime.strptime(request.query_params.get("date"), "%Y-%m-%d")
         else:
@@ -622,16 +670,24 @@ def get(self, request):
 
 
 class WhichShapesView(APIView):
-    def get(self, request):
+    """Endpoint returning the distinct shapes used by a route's stops, given `?route_id=`."""
+
+    def get(self, request: Request) -> Response:
+        """Return the distinct GeoShapes used by the given route in the current feed."""
         route_id = request.query_params.get("route_id")
         feed = Feed.objects.filter(is_current=True).first()
         route = Route.objects.filter(feed=feed, route_id=route_id).first()
-        shapes = RouteStop.objects.filter(route=route)
-        shapes = shapes.values("shape").distinct()
+        # Pre-existing bug, out of scope for this docs/type-hints pass: RouteStop
+        # has no "route"/"shape" fields (only linked_route/linked_shape), so this
+        # query raises FieldError at runtime; flagged in the task report rather
+        # than fixed here. `# type: ignore` silences the resulting mypy errors
+        # (field names it can't resolve, then a RouteStop row treated as a dict).
+        shapes = RouteStop.objects.filter(route=route)  # type: ignore[misc]
+        shapes = shapes.values("shape").distinct()  # type: ignore[misc]
         geo_shapes = []
         for shape in shapes:
             geo_shape = (
-                GeoShape.objects.filter(id=shape["shape"])
+                GeoShape.objects.filter(id=shape["shape"])  # type: ignore[index, misc]
                 .values(
                     "shape_id",
                     "direction_id",
@@ -649,7 +705,10 @@ def get(self, request):
 
 
 class FindTripsView(APIView):
-    def get(self, request):
+    """Endpoint returning scheduled trips matching a route/service/shape, with their run lifecycle state."""
+
+    def get(self, request: Request) -> Response:
+        """Return trips for `?route_id=&service_id=&shape_id=`, each tagged with its run's lifecycle state."""
         # Get the query parameters
         route_id = request.query_params.get("route_id")
         service_id = request.query_params.get("service_id")
@@ -673,8 +732,12 @@ def get(self, request):
 
         selected_trips = []
         for trip in trips:
+            # Pre-existing bug, out of scope for this docs/type-hints pass:
+            # TripTime has no "trip_time" field (it's "departure_time"), so this
+            # raises FieldError at runtime; flagged in the task report rather
+            # than fixed here.
             this_trip = (
-                TripTime.objects.filter(trip_id=trip.trip_id)
+                TripTime.objects.filter(trip_id=trip.trip_id)  # type: ignore[misc]
                 .order_by("trip_time")
                 .values("trip_id", "trip_time")
                 .first()

From b7bc1fdcb836f51840203da7c97609324a8fa570 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 09:53:27 -0600
Subject: [PATCH 38/68] refactor(feed): drop legacy one-off fixture scripts
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Remove create_fixture.py, shape2geoshape.py, and translator_single.py
from feed/fixtures/ — unreferenced dev utilities, recoverable from
git history if ever needed again.
---
 backend/feed/fixtures/create_fixture.py    | 258 ------
 backend/feed/fixtures/shape2geoshape.py    |  45 -
 backend/feed/fixtures/translator_single.py | 932 ---------------------
 3 files changed, 1235 deletions(-)
 delete mode 100644 backend/feed/fixtures/create_fixture.py
 delete mode 100644 backend/feed/fixtures/shape2geoshape.py
 delete mode 100644 backend/feed/fixtures/translator_single.py

diff --git a/backend/feed/fixtures/create_fixture.py b/backend/feed/fixtures/create_fixture.py
deleted file mode 100644
index 38ece98..0000000
--- a/backend/feed/fixtures/create_fixture.py
+++ /dev/null
@@ -1,258 +0,0 @@
-"""One-off script: build gtfs.json fixture data from the UCR bus GTFS Excel workbook."""
-
-import pandas as pd
-import json
-import sys
-import os
-import django
-
-# Set the DJANGO_SETTINGS_MODULE environment variable
-os.environ.setdefault("DJANGO_SETTINGS_MODULE", "datahub.settings")
-
-# Add the project directory to the sys.path
-sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "../../")))
-
-# Setup Django
-django.setup()
-
-from datetime import datetime  # noqa: E402 (must follow django.setup() above)
-from django.db.models import (  # noqa: E402
-    DateField,
-    IntegerField,
-    FloatField,
-    DecimalField,
-    ForeignKey,
-)
-from django.apps import apps  # noqa: E402
-
-# Initialize a dictionary to hold the model field mappings
-model_field_mapping = {}
-
-# Get all models from the 'gtfs' app
-gtfs_models = apps.get_app_config("gtfs").get_models()
-
-# Iterate over each model and retrieve its field names
-for model in gtfs_models:
-    model_name = model._meta.model_name
-    field_names = [
-        field.name
-        for field in model._meta.get_fields()
-        if field.concrete and not field.many_to_many and field.name != "id"
-    ]
-    model_field_mapping[model_name] = field_names
-
-# Print the model field mappings (used for debugging)
-# print(model_field_mapping["agency"])
-
-# Path to your Excel file
-script_dir = os.path.dirname(os.path.abspath(__file__))
-excel_file_path = os.path.join(script_dir, "UCR_bus_GTFS_v2024_2.xlsx")
-
-# Mapping of Excel tab names to Django model names and their fields in ../../models.py
-# The mapping is: 'excel_tab': (app_name.model_name, model_field_mapping["model_name"])
-tab_to_model_mapping = {
-    "agency": ("gtfs.agency", model_field_mapping["agency"]),
-    "routes": ("gtfs.route", model_field_mapping["route"]),
-    "calendar": ("gtfs.calendar", model_field_mapping["calendar"]),
-    "calendar_dates": ("gtfs.calendardate", model_field_mapping["calendardate"]),
-    "stops": ("gtfs.stop", model_field_mapping["stop"]),
-    "stop_times": ("gtfs.stoptime", model_field_mapping["stoptime"]),
-    "fare_attributes": ("gtfs.fareattribute", model_field_mapping["fareattribute"]),
-    "fare_rules": ("gtfs.farerule", model_field_mapping["farerule"]),
-    "shapes": ("gtfs.shape", model_field_mapping["shape"]),
-    "trips": ("gtfs.trip", model_field_mapping["trip"]),
-    "GEOSHAPES": ("gtfs.geoshape", model_field_mapping["geoshape"]),
-}
-
-
-# Read the Excel file
-xls = pd.ExcelFile(excel_file_path)
-
-# Maximum number of rows to process from each sheet
-# Set to None to process all rows (used for debugging)
-max_rows_per_sheet = ""
-
-# Initialize an empty list for fixtures
-fixtures = []
-
-# Initialize a counter for primary keys
-# pk_counter = 2  # Start at 2 to avoid conflicts with the existing fixtures
-
-# Process each sheet in the Excel file
-for sheet_name in xls.sheet_names:
-    pk_counter = 1  # Start at 2 to avoid conflicts with the existing fixtures
-    df = pd.read_excel(xls, sheet_name)
-
-    # Limit the number of rows if max_rows_per_sheet is set
-    if isinstance(max_rows_per_sheet, (int)) and max_rows_per_sheet != 0:
-        df = df.head(max_rows_per_sheet)
-
-    model_info = tab_to_model_mapping.get(sheet_name)
-
-    if model_info:
-        model_name, model_fields = model_info
-        custom_model_name = model_name.split(".")[1]
-        model_class = apps.get_model(app_label="gtfs", model_name=custom_model_name)
-
-        # Print model fields for debugging
-        print(f"Model fields for {model_name}: {model_fields}")
-
-        for index, row in df.iterrows():
-            fields_data = {}
-            # Managing some field format exeptions
-            for field in model_fields:
-                # Set the field type
-                field_type = model_class._meta.get_field(field)
-                field_value = row.get(field, None)
-
-                # Convert NaN to None
-                if pd.isna(field_value) or field_value == "":
-                    field_value = None
-
-                if isinstance(field_type, DateField):
-                    # Convert the string to a date object
-                    field_value = (
-                        datetime.strptime(str(field_value), "%Y%m%d").date().isoformat()
-                        if field_value or field_value != ""
-                        else None
-                    )
-                    fields_data[field] = field_value
-                elif field_type.get_internal_type() == "PointField":
-                    # Convert the string to a Point object
-                    if field_value or field_value != "":
-                        # point_str = field_value.split('POINT (')[1].strip(')')
-                        # longitude, latitude = map(float, point_str.split())
-                        # fields_data[field] = (longitude,latitude)
-                        fields_data[field] = field_value
-                    else:
-                        fields_data[field] = None
-                elif field_type.get_internal_type() == "IntegerField":
-                    # Convert the string to an integer
-                    fields_data[field] = (
-                        int(field_value) if field_value is not None else None
-                    )
-                elif field_type.get_internal_type() == "FloatField":
-                    # Convert the string to a float
-                    fields_data[field] = float(field_value) if field_value else None
-                elif field_type.get_internal_type() == "CharField":
-                    # Convert the string to a char
-                    fields_data[field] = str(field_value) if field_value else None
-                elif field_type.get_internal_type() == "TextField":
-                    # Convert the string to a text
-                    fields_data[field] = str(field_value) if field_value else None
-                elif field_type.get_internal_type() == "TimeField":
-                    # Convert the string to a time object
-                    if field_value:
-                        try:
-                            fields_data[field] = (
-                                datetime.strptime(str(field_value), "%H:%M:%S")
-                                .time()
-                                .isoformat()
-                            )
-                        except ValueError:
-                            fields_data[field] = (
-                                datetime.strptime(str(field_value), "%H:%M:%S.%f")
-                                .time()
-                                .isoformat()
-                            )
-                    else:
-                        fields_data[field] = None
-                elif isinstance(field_type, ForeignKey):
-                    # Handle ForeignKey fields
-                    related_model_name = field_type.related_model._meta.model_name
-                    related_pk = row.get(f"{field}_id", None)
-                    fields_data[field] = (
-                        related_pk if related_pk else 1
-                    )  # Default to 1 if no related_pk
-                # elif field_type.get_internal_type() == "ForeignKey":
-                # Get the related model name
-                #    related_model_name = field_type.related_model._meta.model_name
-                # Get the related model's primary key
-                #    related_pk = row.get(f"{field}_id", None)
-                # Set the field value to the related model's primary key
-                #    fields_data[field] = related_pk
-                else:
-                    # Set the field value to the row's value
-                    fields_data[field] = field_value
-
-            # Add a fixed field 'feed' with a value of "1" for 'gtfs.stop' and 'gtfs.route'
-            if "feed" in model_fields:
-                fields_data["feed"] = "1"
-            if "pickup_type" in model_fields:
-                fields_data["pickup_type"] = 0
-            if "drop_off_type" in model_fields:
-                fields_data["drop_off_type"] = 0
-
-            # Assign geoshape based on shape_id
-            if "geoshape" in model_fields and "shape_id" in row:
-                shape_id = row["shape_id"]
-                if shape_id == "desde_educacion_sin_milla":
-                    fields_data["geoshape"] = 1
-                elif shape_id == "desde_educacion_con_milla":
-                    fields_data["geoshape"] = 2
-                elif shape_id == "desde_artes_sin_milla":
-                    fields_data["geoshape"] = 3
-                elif shape_id == "desde_artes_con_milla":
-                    fields_data["geoshape"] = 4
-                elif shape_id == "hacia_artes":
-                    fields_data["geoshape"] = 5
-                elif shape_id == "hacia_educacion":
-                    fields_data["geoshape"] = 6
-
-            # if "parent_station" in model_fields and fields_data.get("parent_station") is None:
-            #    fields_data["parent_station"] = "Estacion Principal"  # or some default value
-            # if "stop_timezone" in model_fields and fields_data.get("stop_timezone") is None:
-            #    fields_data["stop_timezone"] = ""  # or some default value
-
-            # Ensure all other fields are not null
-            for key in fields_data:
-                if (
-                    fields_data[key] is None
-                    and not isinstance(model_class._meta.get_field(key), IntegerField)
-                    and not isinstance(model_class._meta.get_field(key), FloatField)
-                    and not isinstance(model_class._meta.get_field(key), DecimalField)
-                ):
-                    fields_data[key] = ""
-
-            fixture = {"model": model_name, "pk": pk_counter, "fields": fields_data}
-            fixtures.append(fixture)
-            pk_counter += 1  # Increment the pk counter for the next fixture
-
-# Additional data to be added. These are not part of the Excel file but needed for other models to work
-additional_data = [
-    {
-        "model": "gtfs.gtfsprovider",
-        "pk": 1,
-        "fields": {
-            "code": "bUCR",
-            "name": "bUCR",
-            "description": "Bus de la UCR",
-            "website": "https://bucr.digital",
-            "schedule_url": None,
-            "trip_updates_url": None,
-            "vehicle_positions_url": None,
-            "service_alerts_url": None,
-            "timezone": "America/costa_rica",
-            "is_active": True,
-        },
-    },
-    {
-        "model": "gtfs.feed",
-        "pk": 1,
-        "fields": {
-            "provider": 1,
-            "http_etag": None,
-            "http_last_modified": "2024-07-11T00:00:00Z",
-            "is_current": True,
-            "retrieved_at": "2024-07-11T04:28:41.332Z",
-        },
-    },
-]
-
-# Append the additional data to the fixtures list
-fixtures.extend(additional_data)
-
-# Write fixtures to a file
-json_file_path = os.path.join(script_dir, "gtfs.json")
-with open(json_file_path, "w") as f:
-    json.dump(fixtures, f, ensure_ascii=False, indent=4)
diff --git a/backend/feed/fixtures/shape2geoshape.py b/backend/feed/fixtures/shape2geoshape.py
deleted file mode 100644
index a2f8e22..0000000
--- a/backend/feed/fixtures/shape2geoshape.py
+++ /dev/null
@@ -1,45 +0,0 @@
-"""One-off script: group shapes.json points by shape_id into geoshapes.json LINESTRINGs."""
-
-import json
-from collections import defaultdict
-
-# Read the shapes.json file
-with open("shapes.json", "r") as file:
-    shapes_data = json.load(file)
-
-# Group entries by shape_id
-shapes_dict = defaultdict(list)
-for entry in shapes_data:
-    shape_id = entry["fields"]["shape_id"]
-    lat = entry["fields"]["shape_pt_lat"]
-    lon = entry["fields"]["shape_pt_lon"]
-    shapes_dict[shape_id].append((lon, lat))
-
-# Create the new JSON structure
-new_shapes_data = []
-pk_counter = 1
-
-for shape_id, points in shapes_dict.items():
-    geometry = (
-        "SRID=4326;LINESTRING ("
-        + ", ".join(f"{lon} {lat}" for lon, lat in points)
-        + ")"
-    )
-    new_entry = {
-        "model": "gtfs.geoshape",
-        "pk": pk_counter,
-        "fields": {
-            "feed": shapes_data[0]["fields"][
-                "feed"
-            ],  # Assuming all entries have the same feed
-            "shape_id": shape_id,
-            "geometry": geometry,
-            "has_altitude": False,
-        },
-    }
-    new_shapes_data.append(new_entry)
-    pk_counter += 1
-
-# Write the new JSON structure to a new file
-with open("geoshapes.json", "w") as file:
-    json.dump(new_shapes_data, file, indent=4)
diff --git a/backend/feed/fixtures/translator_single.py b/backend/feed/fixtures/translator_single.py
deleted file mode 100644
index 736112f..0000000
--- a/backend/feed/fixtures/translator_single.py
+++ /dev/null
@@ -1,932 +0,0 @@
-"""One-off script: convert an embedded shape-points CSV literal into shapes.json."""
-
-import csv
-import json
-
-
-# The CSV input data
-csv_data = """shape_id,shape_pt_lat,shape_pt_lon,shape_pt_sequence,shape_dist_traveled
-desde_educacion_sin_milla,9.93554944,-84.0491139,0,0
-desde_educacion_sin_milla,9.935558901,-84.04915826,1,0.005
-desde_educacion_sin_milla,9.935573543,-84.04922412,2,0.012
-desde_educacion_sin_milla,9.935600065,-84.04932486,3,0.024
-desde_educacion_sin_milla,9.935637735,-84.04941678,4,0.035
-desde_educacion_sin_milla,9.935683995,-84.04953688,5,0.049
-desde_educacion_sin_milla,9.93570316,-84.04959458,6,0.056
-desde_educacion_sin_milla,9.935711091,-84.04968716,7,0.066
-desde_educacion_sin_milla,9.935712925,-84.04984645,8,0.083
-desde_educacion_sin_milla,9.935703932,-84.05008772,9,0.11
-desde_educacion_sin_milla,9.935665393,-84.05035117,10,0.139
-desde_educacion_sin_milla,9.935617862,-84.05059375,11,0.166
-desde_educacion_sin_milla,9.935565192,-84.05087806,12,0.198
-desde_educacion_sin_milla,9.935529223,-84.0511089,13,0.223
-desde_educacion_sin_milla,9.935481691,-84.05139322,14,0.255
-desde_educacion_sin_milla,9.935453429,-84.05164101,15,0.282
-desde_educacion_sin_milla,9.935447411,-84.05169439,16,0.288
-desde_educacion_sin_milla,9.935447006,-84.05175448,17,0.295
-desde_educacion_sin_milla,9.935466276,-84.05195793,18,0.317
-desde_educacion_sin_milla,9.935489399,-84.05213139,19,0.336
-desde_educacion_sin_milla,9.935505174,-84.05222398,20,0.347
-desde_educacion_sin_milla,9.93554618,-84.05233401,21,0.36
-desde_educacion_sin_milla,9.935599878,-84.05239149,22,0.368
-desde_educacion_sin_milla,9.935655529,-84.05242817,23,0.376
-desde_educacion_sin_milla,9.935720942,-84.05244105,24,0.383
-desde_educacion_sin_milla,9.935836149,-84.05241826,25,0.396
-desde_educacion_sin_milla,9.936033366,-84.05235284,26,0.419
-desde_educacion_sin_milla,9.936256916,-84.05228329,27,0.445
-desde_educacion_sin_milla,9.936393072,-84.05224319,28,0.46
-desde_educacion_sin_milla,9.936535615,-84.05223725,29,0.476
-desde_educacion_sin_milla,9.936600052,-84.05226004,30,0.484
-desde_educacion_sin_milla,9.936619579,-84.05234231,31,0.493
-desde_educacion_sin_milla,9.936591265,-84.05242756,32,0.503
-desde_educacion_sin_milla,9.936538544,-84.05245035,33,0.509
-desde_educacion_sin_milla,9.936453604,-84.05244837,34,0.519
-desde_educacion_sin_milla,9.936360853,-84.05243945,35,0.529
-desde_educacion_sin_milla,9.93633386,-84.0524268,36,0.532
-desde_educacion_sin_milla,9.936304226,-84.05242656,37,0.535
-desde_educacion_sin_milla,9.936181209,-84.05244738,38,0.549
-desde_educacion_sin_milla,9.936007424,-84.05248405,39,0.569
-desde_educacion_sin_milla,9.935811182,-84.05252767,40,0.591
-desde_educacion_sin_milla,9.935718762,-84.05253557,41,0.601
-desde_educacion_sin_milla,9.935631538,-84.05251775,42,0.611
-desde_educacion_sin_milla,9.935533109,-84.05243347,43,0.626
-desde_educacion_sin_milla,9.935459705,-84.05235123,44,0.638
-desde_educacion_sin_milla,9.935420652,-84.05224518,45,0.65
-desde_educacion_sin_milla,9.935416747,-84.05210145,46,0.666
-desde_educacion_sin_milla,9.935377694,-84.05185564,47,0.693
-desde_educacion_sin_milla,9.935337664,-84.05159601,48,0.722
-desde_educacion_sin_milla,9.935313644,-84.05152777,49,0.73
-desde_educacion_sin_milla,9.935281037,-84.05146121,50,0.738
-desde_educacion_sin_milla,9.935379646,-84.05104491,51,0.785
-desde_educacion_sin_milla,9.935492289,-84.05063858,52,0.831
-desde_educacion_sin_milla,9.935608535,-84.05014283,53,0.887
-desde_educacion_sin_milla,9.935645232,-84.04991538,54,0.912
-desde_educacion_sin_milla,9.935559316,-84.04954368,55,0.954
-desde_educacion_sin_milla,9.935494251,-84.04920339,56,0.992
-desde_educacion_sin_milla,9.935392526,-84.04878501,57,1.039
-desde_educacion_sin_milla,9.935375928,-84.04864624,58,1.055
-desde_educacion_sin_milla,9.935280248,-84.04863732,59,1.065
-desde_educacion_sin_milla,9.935297551,-84.04838248,60,1.093
-desde_educacion_sin_milla,9.935248856,-84.04812367,61,1.122
-desde_educacion_sin_milla,9.935125688,-84.04775145,62,1.165
-desde_educacion_sin_milla,9.935005383,-84.04738504,63,1.208
-desde_educacion_sin_milla,9.934924127,-84.04709543,64,1.241
-desde_educacion_sin_milla,9.934806687,-84.04644113,65,1.314
-desde_educacion_sin_milla,9.934680202,-84.04584851,66,1.38
-desde_educacion_sin_milla,9.934615706,-84.04561458,67,1.407
-desde_educacion_sin_milla,9.934956133,-84.04560806,68,1.444
-desde_educacion_sin_milla,9.935025339,-84.0455873,69,1.452
-desde_educacion_sin_milla,9.935336384,-84.04558067,70,1.487
-desde_educacion_sin_milla,9.935581749,-84.0455285,71,1.514
-desde_educacion_sin_milla,9.935663965,-84.04545547,72,1.527
-desde_educacion_sin_milla,9.935912396,-84.04541189,73,1.554
-desde_educacion_sin_milla,9.936183452,-84.04535711,74,1.585
-desde_educacion_sin_milla,9.936302922,-84.04536494,75,1.598
-desde_educacion_sin_milla,9.936444231,-84.04543667,76,1.616
-desde_educacion_sin_milla,9.936683318,-84.04556757,77,1.646
-desde_educacion_sin_milla,9.936771957,-84.04559235,78,1.656
-desde_educacion_sin_milla,9.936852889,-84.04558713,79,1.665
-desde_educacion_sin_milla,9.936941528,-84.0455467,80,1.676
-desde_educacion_sin_milla,9.937085405,-84.04544237,81,1.695
-desde_educacion_sin_milla,9.937245934,-84.04527872,82,1.721
-desde_educacion_sin_milla,9.937338427,-84.04513786,83,1.739
-desde_educacion_sin_milla,9.937560263,-84.04475282,84,1.788
-desde_educacion_sin_milla,9.937776528,-84.0443585,85,1.837
-desde_educacion_sin_milla,9.938104105,-84.04380161,86,1.908
-desde_educacion_sin_milla,9.937964767,-84.04361665,87,1.934
-desde_educacion_sin_milla,9.937914736,-84.0434458,88,1.953
-desde_educacion_sin_milla,9.937890478,-84.0432203,89,1.978
-desde_educacion_sin_milla,9.937919706,-84.04298946,90,2.004
-desde_educacion_sin_milla,9.937980084,-84.04260081,91,2.047
-desde_educacion_sin_milla,9.938004491,-84.04247952,92,2.06
-desde_educacion_sin_milla,9.938138092,-84.04217826,93,2.097
-desde_educacion_sin_milla,9.938164733,-84.04199645,94,2.117
-desde_educacion_sin_milla,9.938158309,-84.04185038,95,2.133
-desde_educacion_sin_milla,9.938128763,-84.04172518,96,2.147
-desde_educacion_sin_milla,9.938071764,-84.0416449,97,2.158
-desde_educacion_sin_milla,9.938017001,-84.0416365,98,2.164
-desde_educacion_sin_milla,9.937921888,-84.0416378,99,2.174
-desde_educacion_sin_milla,9.937901385,-84.04113626,100,2.229
-desde_educacion_sin_milla,9.937896503,-84.04106847,101,2.237
-desde_educacion_sin_milla,9.938463993,-84.04092897,102,2.301
-desde_educacion_sin_milla,9.938689998,-84.04096455,103,2.327
-desde_educacion_sin_milla,9.938852205,-84.04113434,104,2.353
-desde_educacion_sin_milla,9.939157757,-84.04165518,105,2.419
-desde_educacion_sin_milla,9.939288662,-84.04179423,106,2.44
-desde_educacion_sin_milla,9.939433265,-84.04188359,107,2.459
-desde_educacion_sin_milla,9.939502946,-84.04190722,108,2.467
-desde_educacion_sin_milla,9.939503932,-84.04222693,109,2.502
-desde_educacion_sin_milla,9.939492123,-84.04251171,110,2.533
-desde_educacion_sin_milla,9.939456844,-84.04291815,111,2.578
-desde_educacion_sin_milla,9.939425032,-84.04333313,112,2.624
-desde_educacion_sin_milla,9.939727706,-84.04326312,113,2.658
-desde_educacion_sin_milla,9.939790246,-84.04329572,114,2.666
-desde_educacion_sin_milla,9.93981898,-84.04337294,115,2.675
-desde_educacion_sin_milla,9.940071084,-84.0443133,116,2.782
-desde_educacion_sin_milla,9.940166055,-84.04466933,117,2.822
-desde_educacion_sin_milla,9.940272446,-84.04482737,118,2.843
-desde_educacion_sin_milla,9.940462111,-84.04554009,119,2.924
-desde_educacion_sin_milla,9.940490566,-84.04563027,120,2.934
-desde_educacion_sin_milla,9.940638225,-84.04559788,121,2.951
-desde_educacion_sin_milla,9.940797172,-84.04506887,122,3.012
-desde_educacion_sin_milla,9.940954387,-84.04474671,123,3.051
-desde_educacion_sin_milla,9.941052623,-84.04465273,124,3.066
-desde_educacion_sin_milla,9.941415097,-84.04467728,125,3.106
-desde_educacion_sin_milla,9.942227833,-84.04473169,126,3.196
-desde_educacion_sin_milla,9.942824306,-84.04476927,127,3.262
-desde_educacion_sin_milla,9.943007219,-84.04473612,128,3.283
-desde_educacion_sin_milla,9.943253279,-84.04465365,129,3.311
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-hacia_educacion,9.935454251,-84.04864306,127,3.126
-hacia_educacion,9.93547036,-84.04880008,128,3.143
-hacia_educacion,9.935532342,-84.04904378,129,3.171
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-hacia_artes,9.935144666,-84.04773828,125,3.007
-hacia_artes,9.935275846,-84.04812896,126,3.052
-hacia_artes,9.935315833,-84.04838472,127,3.08
-hacia_artes,9.935299838,-84.04862965,128,3.107
-hacia_artes,9.935455203,-84.04864919,129,3.124
-hacia_artes,9.935470398,-84.04880551,130,3.142
-hacia_artes,9.93553668,-84.04908324,131,3.173
-hacia_artes,9.93559776,-84.04931625,132,3.199
-hacia_artes,9.935702437,-84.04959181,133,3.232
-hacia_artes,9.935710385,-84.04967878,134,3.241
-hacia_artes,9.935710385,-84.04996966,135,3.273
-hacia_artes,9.935703217,-84.05009542,136,3.287
-hacia_artes,9.935667009,-84.05034198,137,3.314
-hacia_artes,9.935606746,-84.05064703,138,3.348
-hacia_artes,9.935533432,-84.05107377,139,3.396
-hacia_artes,9.935492631,-84.05130751,140,3.422
-hacia_artes,9.935462728,-84.05154595,141,3.448
-hacia_artes,9.935449555,-84.05165259,142,3.46
-hacia_artes,9.935447942,-84.05176057,143,3.472
-hacia_artes,9.935471691,-84.05198306,144,3.496
-hacia_artes,9.935488928,-84.05210819,145,3.51
-hacia_artes,9.935501758,-84.0521827,146,3.519"""
-
-# Split the CSV data into lines and read it
-csv_reader = csv.DictReader(csv_data.splitlines())
-
-# Convert CSV to a structured JSON format
-json_data = []
-for i, row in enumerate(csv_reader, start=1):
-    json_data.append(
-        {
-            "model": "gtfs.Shape",
-            "pk": i,
-            "fields": {
-                "feed": "1234",
-                "shape_id": row["shape_id"],
-                "shape_pt_lat": row["shape_pt_lat"],
-                "shape_pt_lon": row["shape_pt_lon"],
-                "shape_pt_sequence": row["shape_pt_sequence"],
-                "shape_dist_traveled": row["shape_dist_traveled"],
-            },
-        }
-    )
-
-# Convert the structured data into JSON format
-json_output = json.dumps(json_data, indent=4)
-
-# Save the output in .json file
-with open("shapes.json", "w", encoding="utf-8") as json_file:
-    json.dump(json_data, json_file, ensure_ascii=False, indent=4)

From ee3946791bff34a6dd7db6cc136d49c510dc97c4 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 09:58:37 -0600
Subject: [PATCH 39/68] fix(realtime): skip misconfigured sensors with explicit
 guards

HttpJsonSourceAdapter.fetch now checks source_http_url and the
equipment fallback for None explicitly, logging a specific warning and
skipping, instead of falling through the generic try/except as an
opaque failure. Drops the now-redundant type: ignore comments.
---
 backend/realtime_engine/sources/http_json.py  | 23 +++++++++----
 .../sources/tests/test_http_json.py           | 33 +++++++++++++++++++
 2 files changed, 50 insertions(+), 6 deletions(-)

diff --git a/backend/realtime_engine/sources/http_json.py b/backend/realtime_engine/sources/http_json.py
index 138180d..73cf802 100644
--- a/backend/realtime_engine/sources/http_json.py
+++ b/backend/realtime_engine/sources/http_json.py
@@ -135,10 +135,15 @@ def fetch(self, sensor: "Sensor") -> list[tuple[str, dict]]:
         url = sensor.source_http_url
         mapping = sensor.source_json_mapping or {}
 
+        if not url:
+            logger.warning(
+                "sensor %s has source_type=http but no source_http_url; skipping",
+                getattr(sensor, "id", "?"),
+            )
+            return []
+
         try:
-            # source_http_url is a nullable DB field; a None here falls through
-            # to the except below rather than being type-safe. See task report.
-            response = requests.get(url, timeout=DEFAULT_TIMEOUT_S)  # type: ignore[arg-type]
+            response = requests.get(url, timeout=DEFAULT_TIMEOUT_S)
             response.raise_for_status()
             body = response.json()
         except Exception:
@@ -172,9 +177,15 @@ def fetch(self, sensor: "Sensor") -> list[tuple[str, dict]]:
                 if not vehicle_id:
                     # Lazy access — never imported/evaluated at module scope,
                     # so this stays safe for isolated (non-DB) test runs.
-                    # equipment is nullable; a None here is caught by the
-                    # except below rather than being type-safe. See task report.
-                    vehicle_id = str(sensor.equipment.vehicle_id)  # type: ignore[union-attr]
+                    equipment = sensor.equipment
+                    if equipment is None:
+                        logger.warning(
+                            "sensor %s has no vehicle_id in record and no "
+                            "equipment association; skipping record",
+                            getattr(sensor, "id", "?"),
+                        )
+                        continue
+                    vehicle_id = str(equipment.vehicle_id)
 
                 results.append((vehicle_id, extracted["payload"]))
             except Exception:
diff --git a/backend/realtime_engine/sources/tests/test_http_json.py b/backend/realtime_engine/sources/tests/test_http_json.py
index e76430d..c3f68c6 100644
--- a/backend/realtime_engine/sources/tests/test_http_json.py
+++ b/backend/realtime_engine/sources/tests/test_http_json.py
@@ -200,6 +200,39 @@ def fake_get(url, timeout):
     assert vehicle_id == "fallback-veh-123"
 
 
+# ---------------------------------------------------------------------------
+# Nullable Sensor fields: guarded explicitly rather than falling through to
+# the generic try/except.
+# ---------------------------------------------------------------------------
+
+
+def test_fetch_skips_sensor_with_no_source_http_url(monkeypatch):
+    def fake_get(url, timeout):
+        raise AssertionError("requests.get should not be called for a None URL")
+
+    monkeypatch.setattr(http_json.requests, "get", fake_get)
+
+    sensor = _make_sensor(url=None)
+    results = http_json.HttpJsonSourceAdapter().fetch(sensor)
+
+    assert results == []
+
+
+def test_fetch_skips_record_when_fallback_vehicle_id_has_no_equipment(monkeypatch):
+    mapping = {**NAVSAT_MAPPING, "paths": {k: v for k, v in NAVSAT_MAPPING["paths"].items() if k != "vehicle_id"}}
+
+    def fake_get(url, timeout):
+        return FakeResponse([SAMPLE_RECORD])
+
+    monkeypatch.setattr(http_json.requests, "get", fake_get)
+
+    sensor = _make_sensor(mapping=mapping)
+    sensor.equipment = None
+    results = http_json.HttpJsonSourceAdapter().fetch(sensor)
+
+    assert results == []
+
+
 # ---------------------------------------------------------------------------
 # Contract compliance: produced payloads must pass position.validate_for_write
 # ---------------------------------------------------------------------------

From 9b6277d74b139a71bc35438ccbd1fe7d767543aa Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 10:03:18 -0600
Subject: [PATCH 40/68] fix(runs): fail fast with a clear error when lifecycle
 payload lacks run_id

_load_run now raises RunLifecycleError("...missing run_id") instead of
letting a missing run_id reach Run.objects.get(id=None), which never
matches and surfaces as a confusing Run.DoesNotExist. Existing
RunLifecycleError handlers in api/views.py and
realtime_engine/tasks.py already catch it, so no unhandled 500s.
---
 backend/runs/services/lifecycle.py            | 11 ++++++++--
 backend/runs/services/tests/test_lifecycle.py | 21 +++++++++++++++++++
 2 files changed, 30 insertions(+), 2 deletions(-)

diff --git a/backend/runs/services/lifecycle.py b/backend/runs/services/lifecycle.py
index 8980b61..b7a5e9c 100644
--- a/backend/runs/services/lifecycle.py
+++ b/backend/runs/services/lifecycle.py
@@ -51,10 +51,17 @@ def process_event(
         )
 
     def _load_run(self, payload: dict[str, Any]) -> Run:
+        """Look up the Run named by payload["run_id"], failing fast if it's absent."""
         run_id = payload.get("run_id")
+        if not run_id:
+            # Without this, a payload missing run_id falls through to
+            # Run.objects.get(id=None), which never matches and surfaces as a
+            # confusing Run.DoesNotExist. Raise the app's own lifecycle error
+            # instead so existing RunLifecycleError handlers (API views,
+            # realtime_engine.tasks.run_lifecycle_event) already catch it.
+            raise RunLifecycleError({"detail": "lifecycle event payload missing run_id"})
         # payload is dict[str, Any], so .get() is typed as Any | None; cast is a
-        # static-only narrowing — a missing/malformed run_id still reaches the ORM
-        # unchanged and raises Run.DoesNotExist, exactly as before this annotation.
+        # static-only narrowing — run_id is confirmed truthy by the check above.
         return Run.objects.get(id=cast(str, run_id))
 
     def _check_guards(
diff --git a/backend/runs/services/tests/test_lifecycle.py b/backend/runs/services/tests/test_lifecycle.py
index ec210f8..ba5cba4 100644
--- a/backend/runs/services/tests/test_lifecycle.py
+++ b/backend/runs/services/tests/test_lifecycle.py
@@ -11,7 +11,10 @@
 
 from unittest.mock import MagicMock
 
+import pytest
+
 from runs.domain.lifecycle import RunLifecycleEvents, RunLifecycleStates, Transition
+from runs.services.exceptions import RunLifecycleError
 from runs.services.lifecycle import RunLifecycleService
 
 
@@ -122,3 +125,21 @@ def test_publish_omits_absent_fields(monkeypatch):
     assert "vehicle_id" not in kwargs["data"]
     assert "trip_id" not in kwargs["data"]
     assert "route_id" not in kwargs["data"]
+
+
+# ---------------------------------------------------------------------------
+# _load_run: a payload missing run_id must fail fast with a clear error
+# instead of a confusing Run.DoesNotExist from `WHERE id IS NULL`.
+# ---------------------------------------------------------------------------
+
+
+def test_load_run_raises_lifecycle_error_when_run_id_absent():
+    with pytest.raises(RunLifecycleError) as exc_info:
+        _service()._load_run({})
+    assert "missing run_id" in exc_info.value.errors["detail"]
+
+
+def test_load_run_raises_lifecycle_error_when_run_id_falsy():
+    with pytest.raises(RunLifecycleError) as exc_info:
+        _service()._load_run({"run_id": None})
+    assert "missing run_id" in exc_info.value.errors["detail"]

From 59c29c150465565bec5658c1c1d29504611cf9c2 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 10:15:34 -0600
Subject: [PATCH 41/68] docs(operations): add one-liner docstrings and complete
 type hints

Fills ruff D1xx gaps (module/class/method docstrings) across the
fleet/operator/vehicle/equipment domain models and their admin/apps/views
scaffolding. Adds full return-type hints to __str__/save methods and an
explicit ManyToManyField[Agency, Any] annotation on Company.linked_agency,
resolving the one mypy var-annotated error the django-stubs plugin raises
for that field (its implicit through-model type parameter isn't otherwise
inferable). No runtime behavior changes; full pytest suite still 432 passed.
---
 backend/operations/admin.py  |  2 ++
 backend/operations/apps.py   |  4 ++++
 backend/operations/models.py | 40 ++++++++++++++++++++++++++++--------
 backend/operations/views.py  |  2 ++
 4 files changed, 39 insertions(+), 9 deletions(-)

diff --git a/backend/operations/admin.py b/backend/operations/admin.py
index eee055b..dc2c0c0 100644
--- a/backend/operations/admin.py
+++ b/backend/operations/admin.py
@@ -1,3 +1,5 @@
+"""Register operations domain models with the Django admin site."""
+
 from django.contrib.gis import admin
 from .models import (
     Vehicle,
diff --git a/backend/operations/apps.py b/backend/operations/apps.py
index 59e720f..8075fa5 100644
--- a/backend/operations/apps.py
+++ b/backend/operations/apps.py
@@ -1,5 +1,9 @@
+"""Django AppConfig for the operations app."""
+
 from django.apps import AppConfig
 
 
 class OperationsConfig(AppConfig):
+    """Django app configuration for `operations` (fleet/operator/vehicle/equipment domain models)."""
+
     name = "operations"
diff --git a/backend/operations/models.py b/backend/operations/models.py
index df11682..0a3324e 100644
--- a/backend/operations/models.py
+++ b/backend/operations/models.py
@@ -1,3 +1,7 @@
+"""Fleet/operator/vehicle/equipment domain models: Company, Operator, Vehicle, Equipment, Sensor, EquipmentLog."""
+
+from typing import Any
+
 from django.contrib.gis.db import models
 from django.contrib.auth.models import User
 import uuid
@@ -13,7 +17,11 @@ class Company(models.Model):
     """
 
     id = models.CharField(max_length=100, primary_key=True)
-    linked_agency = models.ManyToManyField(Agency, blank=True)
+    # django-stubs can't infer the implicit through-model type parameter for
+    # this M2M from the call alone; the explicit annotation resolves it.
+    linked_agency: models.ManyToManyField[Agency, Any] = models.ManyToManyField(
+        Agency, blank=True
+    )
     name = models.CharField(max_length=100)
     description = models.TextField(blank=True, null=True)
     legal_id = models.CharField(max_length=100, blank=True, null=True)
@@ -23,7 +31,8 @@ class Company(models.Model):
     location = models.PointField(blank=True, null=True)
     logo = models.ImageField(upload_to="companies/", blank=True, null=True)
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the company's name."""
         return self.name
 
 
@@ -41,7 +50,8 @@ class Operator(models.Model):
     is_dispatcher = models.BooleanField(default=False)
     is_administrator = models.BooleanField(default=False)
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the operator's full name and ID."""
         return f"{self.user.first_name} {self.user.last_name} ({self.id})"
 
 
@@ -58,7 +68,8 @@ class DataProvider(models.Model):
     phone = models.CharField(max_length=100, blank=True, null=True)
     logo = models.ImageField(upload_to="data-providers/", blank=True, null=True)
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the data provider's name."""
         return self.name
 
 
@@ -117,11 +128,14 @@ class Vehicle(models.Model):
         ],
     )
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the vehicle's company and license plate."""
         return f"{self.company}: {self.license_plate}"
 
 
 class Equipment(models.Model):
+    """An onboard telemetry device (GPS/sensor unit) installed in a vehicle."""
+
     id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
     data_provider = models.ForeignKey(
         DataProvider, on_delete=models.PROTECT, blank=True, null=True
@@ -145,7 +159,8 @@ class Equipment(models.Model):
     created_at = models.DateTimeField(auto_now_add=True)
     updated_at = models.DateTimeField(auto_now=True)
 
-    def save(self, *args, **kwargs):
+    def save(self, *args: Any, **kwargs: Any) -> None:
+        """Save the equipment, then append a snapshot of its current fields to EquipmentLog."""
         super(Equipment, self).save(*args, **kwargs)
         EquipmentLog.objects.create(
             equipment=self,
@@ -159,11 +174,14 @@ def save(self, *args, **kwargs):
             status=self.status,
         )
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the equipment's data provider, brand, model, and ID."""
         return f"{self.data_provider}: {self.brand} {self.model} ({self.id})"
 
 
 class Sensor(models.Model):
+    """A logical data feed (of one or more telemetry types) registered on a piece of Equipment."""
+
     id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
     name = models.CharField(max_length=100, blank=True, null=True)
     equipment = models.ForeignKey(
@@ -201,11 +219,14 @@ class Sensor(models.Model):
     created_at = models.DateTimeField(auto_now_add=True)
     updated_at = models.DateTimeField(auto_now=True)
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the sensor's name and ID."""
         return f"{self.name} ({self.id})"
 
 
 class EquipmentLog(models.Model):
+    """An immutable snapshot of an Equipment's fields, written each time the equipment is saved."""
+
     equipment = models.ForeignKey(Equipment, on_delete=models.PROTECT)
     data_provider = models.ForeignKey(
         DataProvider, on_delete=models.PROTECT, blank=True, null=True
@@ -226,5 +247,6 @@ class EquipmentLog(models.Model):
     )
     updated_at = models.DateTimeField(auto_now=True)
 
-    def __str__(self):
+    def __str__(self) -> str:
+        """Return the log entry's data provider, brand, model, and timestamp."""
         return f"{self.data_provider}: {self.brand} {self.model} ({self.updated_at})"
diff --git a/backend/operations/views.py b/backend/operations/views.py
index 60f00ef..e999fcd 100644
--- a/backend/operations/views.py
+++ b/backend/operations/views.py
@@ -1 +1,3 @@
+"""Placeholder for operations app HTTP views (none defined yet — reads/writes go through the API app)."""
+
 # Create your views here.

From 575f2e3aeb5180138c2ac3be69697d55c99623e5 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 10:18:30 -0600
Subject: [PATCH 42/68] docs(website): add one-liner docstrings and complete
 type hints

Fills ruff D1xx gaps (module/class/function docstrings) across the
website app's admin/apps/models/urls/views scaffolding and adds full
param/return type hints to the index view. No runtime behavior changes;
full pytest suite still 432 passed.
---
 backend/website/admin.py  | 2 ++
 backend/website/apps.py   | 4 ++++
 backend/website/models.py | 2 ++
 backend/website/urls.py   | 2 ++
 backend/website/views.py  | 6 +++++-
 5 files changed, 15 insertions(+), 1 deletion(-)

diff --git a/backend/website/admin.py b/backend/website/admin.py
index 846f6b4..f2308d7 100644
--- a/backend/website/admin.py
+++ b/backend/website/admin.py
@@ -1 +1,3 @@
+"""Django admin registration for the website app (none; no models defined)."""
+
 # Register your models here.
diff --git a/backend/website/apps.py b/backend/website/apps.py
index bc26c09..cfac2d8 100644
--- a/backend/website/apps.py
+++ b/backend/website/apps.py
@@ -1,6 +1,10 @@
+"""Django AppConfig for the website app."""
+
 from django.apps import AppConfig
 
 
 class WebsiteConfig(AppConfig):
+    """Django app configuration for `website` (public landing pages)."""
+
     default_auto_field = "django.db.models.BigAutoField"
     name = "website"
diff --git a/backend/website/models.py b/backend/website/models.py
index 6b20219..91aff4c 100644
--- a/backend/website/models.py
+++ b/backend/website/models.py
@@ -1 +1,3 @@
+"""Django models for the website app (none; the site is static template rendering)."""
+
 # Create your models here.
diff --git a/backend/website/urls.py b/backend/website/urls.py
index fd7d2ab..e378ebc 100644
--- a/backend/website/urls.py
+++ b/backend/website/urls.py
@@ -1,3 +1,5 @@
+"""URL routes for the website app."""
+
 from django.urls import path
 from . import views
 
diff --git a/backend/website/views.py b/backend/website/views.py
index fed8a3e..25b5e44 100644
--- a/backend/website/views.py
+++ b/backend/website/views.py
@@ -1,7 +1,11 @@
+"""HTTP views for the website app."""
+
+from django.http import HttpRequest, HttpResponse
 from django.shortcuts import render
 
 # Create your views here.
 
 
-def index(request):
+def index(request: HttpRequest) -> HttpResponse:
+    """Render the public landing page."""
     return render(request, "index.html")

From c2d41cd6e628d6f218dac7d39a60944e04aa45af Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 10:24:36 -0600
Subject: [PATCH 43/68] docs(databus): add one-liner docstrings and complete
 type hints

Fills ruff D1xx gaps in celery.py (module docstring documenting the beat
schedule -- fetch-positions every 10s with expires=10, the two GTFS-RT
feed builders every 15s, the stale-run scan every 30s, and the daily
schedule rebuild -- plus a docstring on debug_task). Fixes both mypy
arg-type errors in urls.py by giving urlpatterns an explicit
list[URLPattern | URLResolver] annotation, since static()'s return type
(list[URLPattern]) differs from the include()-based path() entries'
inferred list[URLResolver]; both are valid urlpatterns entries at runtime.
No runtime behavior changes, and settings.py values are untouched; full
pytest suite still 432 passed.
---
 backend/databus/celery.py | 11 +++++++++++
 backend/databus/urls.py   |  6 ++++--
 2 files changed, 15 insertions(+), 2 deletions(-)

diff --git a/backend/databus/celery.py b/backend/databus/celery.py
index f9fb31b..c2cce1d 100644
--- a/backend/databus/celery.py
+++ b/backend/databus/celery.py
@@ -1,3 +1,13 @@
+"""Celery app for databus: task discovery, the MQTT consumer bootstep, and the beat schedule.
+
+Beat schedule entries: `fetch-positions` polls HTTP telemetry sources every 10s (a run
+that hasn't started within its own cycle is revoked via `expires=10` rather than queuing
+up behind a slow source); `build-vehicle-positions-every-15s` and
+`build-trip-updates-every-15s` rebuild the two GTFS-RT feeds every 15s;
+`scan-stale-runs-every-30s` sweeps for runs that have gone quiet; and
+`build-schedule-daily` rebuilds the GTFS Schedule zip once a day.
+"""
+
 from datetime import timedelta
 import os
 
@@ -26,6 +36,7 @@
 
 @app.task(bind=True, ignore_result=True)
 def debug_task(self):
+    """Print the current task's request context; used to sanity-check worker connectivity."""
     print(f"Celery request: {self.request!r}")
 
 
diff --git a/backend/databus/urls.py b/backend/databus/urls.py
index b62a65d..c1c26fa 100644
--- a/backend/databus/urls.py
+++ b/backend/databus/urls.py
@@ -16,12 +16,14 @@
 """
 
 from django.contrib import admin
-from django.urls import path, include
+from django.urls import URLPattern, URLResolver, path, include
 from django.conf import settings
 from django.conf.urls.static import static
 import os
 
-urlpatterns = [
+# static() below returns list[URLPattern], while the path(..., include(...)) entries
+# above are list[URLResolver] -- the explicit union lets both be appended in place.
+urlpatterns: list[URLPattern | URLResolver] = [
     path("admin/", admin.site.urls),
     path("", include("website.urls")),
     path("api/", include("api.urls")),

From 457de0698a908708df4ac893a210e719a8d8f8bd Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 10:35:33 -0600
Subject: [PATCH 44/68] docs(scripts): add one-liner docstrings and complete
 type hints

Fills ruff D1xx gaps (module/function docstrings) across
cleanup_runs.py's connection helpers, DB/Redis purge functions, and CLI
driver. Fixes all 14 mypy findings: adds psycopg2.extensions.connection/
cursor annotations (get_db, _count, _delete, db_purge_*) and redis-py
Awaitable-union cast helpers (_get/_hgetall/_smembers/_rkeys/_srem,
mirroring realtime_engine/tasks.py's _get/_smembers/_hgetall but taking
the client as a parameter since this script builds one per invocation
rather than sharing a module-level client) for the hgetall/get/smembers/
keys/srem calls in the Redis purge helpers; adds `assert conn/r is not
None` narrowing in main()'s dispatch block, since both are only ever
None when their connect step already called sys.exit(1). Also drops two
extraneous f-string prefixes (F541) on plain error-tip strings. No
runtime behavior changes; full pytest suite still 432 passed.
---
 backend/scripts/cleanup_runs.py | 113 +++++++++++++++++++++++++++-----
 1 file changed, 95 insertions(+), 18 deletions(-)

diff --git a/backend/scripts/cleanup_runs.py b/backend/scripts/cleanup_runs.py
index 030e7ba..3a77b32 100644
--- a/backend/scripts/cleanup_runs.py
+++ b/backend/scripts/cleanup_runs.py
@@ -46,9 +46,10 @@
 import sys
 from datetime import datetime
 from pathlib import Path
-from typing import Any
+from typing import Any, cast
 
 import psycopg2
+import psycopg2.extensions
 import psycopg2.extras
 import redis
 
@@ -94,13 +95,17 @@ def _load_dotenv() -> None:
 # ---------------------------------------------------------------------------
 
 
-def get_db(host: str, port: int, name: str, user: str, password: str):
+def get_db(
+    host: str, port: int, name: str, user: str, password: str
+) -> psycopg2.extensions.connection:
+    """Open a PostgreSQL connection with the given connection parameters."""
     return psycopg2.connect(
         host=host, port=port, dbname=name, user=user, password=password,
     )
 
 
 def get_redis(host: str, port: int, db: int) -> redis.Redis:
+    """Open a Redis client with the given connection parameters."""
     return redis.Redis(host=host, port=port, db=db, decode_responses=True)
 
 
@@ -109,7 +114,13 @@ def get_redis(host: str, port: int, db: int) -> redis.Redis:
 # ---------------------------------------------------------------------------
 
 
-def _count(cur, table: str, where: str = "", params: tuple = ()) -> int:
+def _count(
+    cur: psycopg2.extensions.cursor,
+    table: str,
+    where: str = "",
+    params: tuple[Any, ...] = (),
+) -> int:
+    """Count rows in `table`, optionally filtered by a WHERE clause."""
     sql = f"SELECT COUNT(*) FROM {table}"
     if where:
         sql += f" WHERE {where}"
@@ -117,7 +128,14 @@ def _count(cur, table: str, where: str = "", params: tuple = ()) -> int:
     return cur.fetchone()[0]
 
 
-def _delete(cur, table: str, where: str = "", params: tuple = (), dry_run: bool = False) -> int:
+def _delete(
+    cur: psycopg2.extensions.cursor,
+    table: str,
+    where: str = "",
+    params: tuple[Any, ...] = (),
+    dry_run: bool = False,
+) -> int:
+    """Delete rows from `table` (or just count them under --dry-run); returns the affected row count."""
     n = _count(cur, table, where, params)
     if n and not dry_run:
         sql = f"DELETE FROM {table}"
@@ -132,7 +150,39 @@ def _delete(cur, table: str, where: str = "", params: tuple = (), dry_run: bool
 # ---------------------------------------------------------------------------
 
 
+def _get(r: redis.Redis, key: str) -> str | None:
+    """Read a Redis string value, narrowing away redis-py's shared Awaitable stub.
+
+    `r` here is always a synchronous, `decode_responses=True` client built by
+    `get_redis`, but redis-py's `CoreCommands` mixin types every command
+    `Awaitable[X] | X` since it's shared with the async client -- this cast
+    narrows to the sync branch that's actually returned.
+    """
+    return cast("str | None", r.get(key))
+
+
+def _hgetall(r: redis.Redis, key: str) -> dict[str, str]:
+    """Read a Redis hash as `dict[str, str]`, narrowing away redis-py's shared Awaitable stub."""
+    return cast("dict[str, str]", r.hgetall(key))
+
+
+def _smembers(r: redis.Redis, key: str) -> set[str]:
+    """Read a Redis set as `set[str]`, narrowing away redis-py's shared Awaitable stub."""
+    return cast("set[str]", r.smembers(key))
+
+
+def _rkeys(r: redis.Redis, pattern: str) -> list[str]:
+    """Read Redis keys matching a pattern as `list[str]`, narrowing away redis-py's shared Awaitable stub."""
+    return cast("list[str]", r.keys(pattern))
+
+
+def _srem(r: redis.Redis, set_key: str, *members: str) -> int:
+    """Remove members from a Redis set, narrowing srem's Awaitable-union return to int."""
+    return cast(int, r.srem(set_key, *members))
+
+
 def _rdel(r: redis.Redis, keys: list[str], dry_run: bool) -> int:
+    """Delete the given Redis keys that exist (or count them under --dry-run); returns the count."""
     targets = [k for k in keys if r.exists(k)]
     if targets and not dry_run:
         r.delete(*targets)
@@ -140,15 +190,17 @@ def _rdel(r: redis.Redis, keys: list[str], dry_run: bool) -> int:
 
 
 def _rsrem(r: redis.Redis, set_key: str, members: list[str], dry_run: bool) -> int:
+    """Remove members from a Redis set (or count matches under --dry-run); returns the removed/matched count."""
     if not members:
         return 0
     if dry_run:
         return sum(1 for m in members if r.sismember(set_key, m))
-    return int(r.srem(set_key, *members))
+    return _srem(r, set_key, *members)
 
 
 def _purge_redis_run(r: redis.Redis, run_id: str, dry_run: bool) -> dict[str, int]:
-    hash_data = r.hgetall(_keys.run_key(run_id))
+    """Delete (or count, under --dry-run) one run's Redis state: entity hashes, assignment keys, and set memberships."""
+    hash_data = _hgetall(r, _keys.run_key(run_id))
     vehicle_id = hash_data.get("vehicle")
     operator_id = hash_data.get("operator")
     trip_id = hash_data.get("trip_id")
@@ -186,16 +238,17 @@ def _purge_redis_run(r: redis.Redis, run_id: str, dry_run: bool) -> dict[str, in
 
 
 def purge_redis_all_runs(r: redis.Redis, dry_run: bool) -> dict[str, Any]:
+    """Purge all run state from Redis (or preview it under --dry-run); returns a summary of what changed."""
     actions: list[str] = []
     keys_removed = 0
     set_removals = 0
 
     all_run_ids: set[str] = set()
-    all_run_ids.update(r.smembers("runs:tracking"))
-    all_run_ids.update(r.smembers("runs:in_progress"))
-    for key in r.keys("run:*"):
+    all_run_ids.update(_smembers(r, "runs:tracking"))
+    all_run_ids.update(_smembers(r, "runs:in_progress"))
+    for key in _rkeys(r, "run:*"):
         all_run_ids.add(key.split(":", 1)[1])
-    for key in r.keys("runs:last_seen:*"):
+    for key in _rkeys(r, "runs:last_seen:*"):
         all_run_ids.add(key.split(":", 2)[2])
 
     for run_id in sorted(all_run_ids):
@@ -212,7 +265,7 @@ def purge_redis_all_runs(r: redis.Redis, dry_run: bool) -> dict[str, Any]:
         "runs:last_seen:*",
         "run:*",
     ):
-        for key in r.keys(pattern):
+        for key in _rkeys(r, pattern):
             n = _rdel(r, [key], dry_run)
             if n:
                 keys_removed += n
@@ -220,7 +273,7 @@ def purge_redis_all_runs(r: redis.Redis, dry_run: bool) -> dict[str, Any]:
 
     for set_key in ("runs:tracking", "runs:in_progress"):
         if r.exists(set_key):
-            members = list(r.smembers(set_key))
+            members = list(_smembers(r, set_key))
             if members:
                 if not dry_run:
                     r.delete(set_key)
@@ -231,6 +284,7 @@ def purge_redis_all_runs(r: redis.Redis, dry_run: bool) -> dict[str, Any]:
 
 
 def purge_redis_one_run(r: redis.Redis, run_id: str, dry_run: bool) -> dict[str, Any]:
+    """Purge (or preview, under --dry-run) one run's Redis state; returns a summary of what changed."""
     result = _purge_redis_run(r, run_id, dry_run)
     return {
         "keys_removed": result["keys"],
@@ -242,7 +296,7 @@ def purge_redis_one_run(r: redis.Redis, run_id: str, dry_run: bool) -> dict[str,
 def purge_redis_vehicle(r: redis.Redis, vehicle_id: str, dry_run: bool) -> dict[str, Any]:
     """Free the Redis assignment for one vehicle and cascade-purge its run."""
     current_run_key = f"vehicle:{vehicle_id}:current_run"
-    run_id = r.get(current_run_key)
+    run_id = _get(r, current_run_key)
     if run_id:
         return purge_redis_one_run(r, run_id, dry_run)
     n = _rdel(r, [current_run_key], dry_run)
@@ -263,7 +317,10 @@ def purge_redis_vehicle(r: redis.Redis, vehicle_id: str, dry_run: bool) -> dict[
 )
 
 
-def db_purge_all_runs(conn, include_telemetry: bool, dry_run: bool) -> dict[str, Any]:
+def db_purge_all_runs(
+    conn: psycopg2.extensions.connection, include_telemetry: bool, dry_run: bool
+) -> dict[str, Any]:
+    """Delete (or count, under --dry-run) all runs and their child rows from PostgreSQL."""
     counts: dict[str, int] = {}
     with conn.cursor() as cur:
         if include_telemetry:
@@ -277,7 +334,13 @@ def db_purge_all_runs(conn, include_telemetry: bool, dry_run: bool) -> dict[str,
     return counts
 
 
-def db_purge_one_run(conn, run_id: str, include_telemetry: bool, dry_run: bool) -> dict[str, Any]:
+def db_purge_one_run(
+    conn: psycopg2.extensions.connection,
+    run_id: str,
+    include_telemetry: bool,
+    dry_run: bool,
+) -> dict[str, Any]:
+    """Delete (or count, under --dry-run) one run and its child rows from PostgreSQL."""
     counts: dict[str, int] = {}
     with conn.cursor() as cur:
         if include_telemetry:
@@ -299,7 +362,13 @@ def db_purge_one_run(conn, run_id: str, include_telemetry: bool, dry_run: bool)
     return counts
 
 
-def db_purge_vehicle_runs(conn, vehicle_id: str, include_telemetry: bool, dry_run: bool) -> dict[str, Any]:
+def db_purge_vehicle_runs(
+    conn: psycopg2.extensions.connection,
+    vehicle_id: str,
+    include_telemetry: bool,
+    dry_run: bool,
+) -> dict[str, Any]:
+    """Delete (or count, under --dry-run) all of a vehicle's runs and their child rows from PostgreSQL."""
     counts: dict[str, int] = {}
     with conn.cursor() as cur:
         if include_telemetry:
@@ -330,6 +399,7 @@ def db_purge_vehicle_runs(conn, vehicle_id: str, include_telemetry: bool, dry_ru
 
 
 def _print_db_section(counts: dict[str, int], dry_run: bool) -> None:
+    """Print the per-table row counts deleted (or that would be deleted) from PostgreSQL."""
     verb = "would delete" if dry_run else "deleted"
     total = sum(counts.values())
     if total == 0:
@@ -343,6 +413,7 @@ def _print_db_section(counts: dict[str, int], dry_run: bool) -> None:
 
 
 def _print_redis_section(result: dict[str, Any], dry_run: bool) -> None:
+    """Print the Redis keys and set memberships removed (or that would be removed)."""
     verb = "would remove" if dry_run else "removed"
     actions = result.get("actions", [])
     if not actions:
@@ -362,6 +433,7 @@ def print_report(
     redis_result: dict[str, Any] | None,
     dry_run: bool,
 ) -> None:
+    """Print a summary header plus the DB and/or Redis sections for whichever cleanups ran."""
     label = "DRY RUN" if dry_run else "EXECUTED"
     print(f"\n{SEP}\n{label}\n{SEP}\n")
     if db_counts is not None:
@@ -376,6 +448,7 @@ def print_report(
 
 
 def main() -> None:
+    """Parse CLI args, connect to PostgreSQL and/or Redis, run the selected cleanup mode, and print a report."""
     parser = argparse.ArgumentParser(
         description="Clean run state from PostgreSQL and Redis",
         formatter_class=argparse.RawDescriptionHelpFormatter,
@@ -448,7 +521,7 @@ def main() -> None:
         except Exception as e:
             print(f"\n⚠️  Cannot connect to PostgreSQL at {args.db_host}:{args.db_port}/{args.db_name}")
             print(f"Error: {e}")
-            print(f"\nTip: if running on the host, pass --db-host localhost\n")
+            print("\nTip: if running on the host, pass --db-host localhost\n")
             sys.exit(1)
 
     if need_redis:
@@ -458,7 +531,7 @@ def main() -> None:
         except Exception as e:
             print(f"\n⚠️  Cannot connect to Redis at {args.redis_host}:{args.redis_port}")
             print(f"Error: {e}")
-            print(f"\nTip: if running on the host, pass --redis-host localhost\n")
+            print("\nTip: if running on the host, pass --redis-host localhost\n")
             sys.exit(1)
 
     # --- Confirmation ---
@@ -481,6 +554,8 @@ def main() -> None:
     redis_result: dict[str, Any] | None = None
 
     if need_db:
+        # need_db implies get_db() above succeeded (its except branch exits the process).
+        assert conn is not None
         if args.run:
             db_counts = db_purge_one_run(conn, args.run, args.telemetry, args.dry_run)
         elif args.vehicle:
@@ -489,6 +564,8 @@ def main() -> None:
             db_counts = db_purge_all_runs(conn, args.telemetry, args.dry_run)
 
     if need_redis:
+        # need_redis implies get_redis() above succeeded (its except branch exits the process).
+        assert r is not None
         if args.run:
             redis_result = purge_redis_one_run(r, args.run, args.dry_run)
         elif args.vehicle:

From 5489fe454efaba39bbdfabe1625d8fea97ddbada Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 11:44:31 -0600
Subject: [PATCH 45/68] fix(api): repair which-shapes and find-trips lookup
 endpoints

WhichShapesView queried RouteStop.route/.shape, which don't exist (the
model's fields are linked_route/linked_shape), and asked GeoShape for a
direction_id it doesn't have. FindTripsView queried TripTime.trip_time,
which doesn't exist (the field is departure_time), and matched TripTime to
Trip by the bare trip_id string instead of the linked_trip FK, which can
cross-match same-numbered trips across feeds. Both endpoints back the
run-registration UI cascade (pick a route -> its shapes -> candidate trips
with run lifecycle state) and had never worked.
---
 backend/api/__init__.py                |   0
 backend/api/serializers.py             |  11 +--
 backend/api/tests/__init__.py          |   0
 backend/api/tests/conftest.py          | 126 +++++++++++++++++++++++++
 backend/api/tests/test_find_trips.py   |  90 ++++++++++++++++++
 backend/api/tests/test_which_shapes.py |  34 +++++++
 backend/api/views.py                   |  66 ++++++-------
 7 files changed, 286 insertions(+), 41 deletions(-)
 create mode 100644 backend/api/__init__.py
 create mode 100644 backend/api/tests/__init__.py
 create mode 100644 backend/api/tests/conftest.py
 create mode 100644 backend/api/tests/test_find_trips.py
 create mode 100644 backend/api/tests/test_which_shapes.py

diff --git a/backend/api/__init__.py b/backend/api/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/backend/api/serializers.py b/backend/api/serializers.py
index 11ed918..6d5f9a4 100644
--- a/backend/api/serializers.py
+++ b/backend/api/serializers.py
@@ -400,14 +400,13 @@ class ServiceTodaySerializer(serializers.Serializer):
 
 
 class WhichShapesSerializer(serializers.Serializer):
-    """Serialize the distinct shapes used by a route's stop sequence."""
+    """Serialize the shape metadata for one of the distinct GeoShapes used by a route's stop sequence."""
 
     shape_id = serializers.CharField()
-    direction_id = serializers.IntegerField()
-    shape_name = serializers.CharField()
-    shape_desc = serializers.CharField()
-    shape_from = serializers.CharField()
-    shape_to = serializers.CharField()
+    shape_name = serializers.CharField(allow_null=True, required=False)
+    shape_desc = serializers.CharField(allow_null=True, required=False)
+    shape_from = serializers.CharField(allow_null=True, required=False)
+    shape_to = serializers.CharField(allow_null=True, required=False)
 
 
 class FindTripsSerializer(serializers.Serializer):
diff --git a/backend/api/tests/__init__.py b/backend/api/tests/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/backend/api/tests/conftest.py b/backend/api/tests/conftest.py
new file mode 100644
index 0000000..e1caf71
--- /dev/null
+++ b/backend/api/tests/conftest.py
@@ -0,0 +1,126 @@
+"""Shared fixtures for api app tests: a minimal GTFS feed with one route, shape, and stop.
+
+Built imperatively via the ORM (small, in-code fixture data) rather than the
+large `feed/fixtures/gtfs.json` bundle, so each test only pulls in the rows
+it actually needs.
+"""
+
+from datetime import date
+
+import pytest
+from django.contrib.gis.geos import LineString
+from rest_framework.test import APIClient
+
+from feed.models import Agency, Calendar, Feed, GeoShape, Route, RouteStop, Stop, Trip
+
+
+@pytest.fixture
+def api_client() -> APIClient:
+    """Return an unauthenticated DRF test client."""
+    return APIClient()
+
+
+@pytest.fixture
+def current_feed(db) -> Feed:
+    """Create and return a Feed marked as the current GTFS feed."""
+    return Feed.objects.create(feed_id="feed-1", is_current=True)
+
+
+@pytest.fixture
+def agency(current_feed: Feed) -> Agency:
+    """Create an Agency in the current feed."""
+    return Agency.objects.create(
+        feed=current_feed,
+        agency_id="agency-1",
+        agency_name="Test Agency",
+        agency_url="https://example.com",
+        agency_timezone="America/Costa_Rica",
+    )
+
+
+@pytest.fixture
+def route(current_feed: Feed, agency: Agency) -> Route:
+    """Create a Route in the current feed, linked to `agency`."""
+    return Route.objects.create(
+        feed=current_feed,
+        route_id="route-1",
+        agency_id=agency.agency_id,
+        route_short_name="1",
+        route_long_name="Test Route",
+    )
+
+
+@pytest.fixture
+def geo_shape(current_feed: Feed) -> GeoShape:
+    """Create a GeoShape in the current feed with a two-point LineString."""
+    return GeoShape.objects.create(
+        feed=current_feed,
+        shape_id="shape-1",
+        geometry=LineString((-84.1, 9.9), (-84.0, 9.95)),
+        shape_name="Test Shape",
+        shape_desc="A shape for tests",
+        shape_from="Origin",
+        shape_to="Destination",
+    )
+
+
+@pytest.fixture
+def stop(current_feed: Feed) -> Stop:
+    """Create a Stop in the current feed."""
+    return Stop.objects.create(
+        feed=current_feed,
+        stop_id="stop-1",
+        stop_name="Test Stop",
+        stop_lat=9.9,
+        stop_lon=-84.1,
+    )
+
+
+@pytest.fixture
+def route_stop(
+    current_feed: Feed, route: Route, geo_shape: GeoShape, stop: Stop
+) -> RouteStop:
+    """Create a RouteStop tying `route` to `geo_shape` via `stop`."""
+    return RouteStop.objects.create(
+        feed=current_feed,
+        route_id=route.route_id,
+        shape_id=geo_shape.shape_id,
+        direction_id=0,
+        stop_id=stop.stop_id,
+        stop_sequence=1,
+        timepoint=True,
+    )
+
+
+@pytest.fixture
+def calendar(current_feed: Feed) -> Calendar:
+    """Create a Calendar (service) in the current feed, valid all of 2026."""
+    return Calendar.objects.create(
+        feed=current_feed,
+        service_id="service-1",
+        monday=True,
+        tuesday=True,
+        wednesday=True,
+        thursday=True,
+        friday=True,
+        saturday=False,
+        sunday=False,
+        start_date=date(2026, 1, 1),
+        end_date=date(2026, 12, 31),
+    )
+
+
+@pytest.fixture
+def trip(current_feed: Feed, route: Route, calendar: Calendar, geo_shape: GeoShape) -> Trip:
+    """Create a Trip in the current feed for `route`/`calendar`/`geo_shape`."""
+    return Trip.objects.create(
+        feed=current_feed,
+        route_id=route.route_id,
+        service_id=calendar.service_id,
+        trip_id="trip-1",
+        direction_id=0,
+        shape_id=geo_shape.shape_id,
+        trip_headsign="Test Headsign",
+        wheelchair_accessible=0,
+        bikes_allowed=0,
+    )
diff --git a/backend/api/tests/test_find_trips.py b/backend/api/tests/test_find_trips.py
new file mode 100644
index 0000000..e3a1faf
--- /dev/null
+++ b/backend/api/tests/test_find_trips.py
@@ -0,0 +1,90 @@
+"""API tests for FindTripsView (`GET /api/find-trips/`).
+
+Second step of the run-registration UI cascade: given a route/service/shape
+selection, return candidate trips each tagged with the current lifecycle
+state of any run for that trip today.
+"""
+
+from datetime import date, time
+
+import pytest
+
+from feed.models import Stop, Trip, TripTime
+from runs.domain.lifecycle import RunLifecycleStates
+from runs.models import Run
+
+
+@pytest.fixture
+def trip_time(trip: Trip, stop: Stop) -> TripTime:
+    """Create a TripTime departure for `trip` at `stop`."""
+    return TripTime.objects.create(
+        feed=trip.feed,
+        trip_id=trip.trip_id,
+        stop_id=stop.stop_id,
+        stop_sequence=1,
+        departure_time=time(7, 0, 0),
+    )
+
+
+@pytest.mark.django_db
+def test_returns_trip_tagged_unknown_when_no_run_exists(
+    api_client, trip, trip_time, route
+):
+    """A matching trip with no Run today is tagged run_lifecycle_state=UNKNOWN."""
+    response = api_client.get(
+        "/api/find-trips/",
+        {
+            "route_id": trip.route_id,
+            "service_id": trip.service_id,
+            "shape_id": trip.shape_id,
+        },
+    )
+
+    assert response.status_code == 200
+    body = response.json()
+    assert body == [
+        {
+            "trip_id": trip.trip_id,
+            "trip_time": "07:00:00",
+            "run_lifecycle_state": "UNKNOWN",
+            "direction_id": trip.direction_id,
+            "trip_headsign": trip.trip_headsign,
+        }
+    ]
+
+
+@pytest.mark.django_db
+def test_returns_trip_tagged_with_its_run_lifecycle_state(
+    api_client, trip, trip_time
+):
+    """A matching trip with a Run today is tagged with that run's actual lifecycle state."""
+    Run.objects.create(
+        trip_id=trip.trip_id,
+        route_id=trip.route_id,
+        direction_id=trip.direction_id,
+        shape_id=trip.shape_id,
+        start_date=date.today(),
+        run_lifecycle_state=RunLifecycleStates.IN_PROGRESS,
+    )
+
+    response = api_client.get(
+        "/api/find-trips/",
+        {
+            "route_id": trip.route_id,
+            "service_id": trip.service_id,
+            "shape_id": trip.shape_id,
+        },
+    )
+
+    assert response.status_code == 200
+    body = response.json()
+    assert body[0]["run_lifecycle_state"] == RunLifecycleStates.IN_PROGRESS.value
+
+
+@pytest.mark.django_db
+def test_missing_params_returns_400(api_client, current_feed):
+    """Omitting any of route_id/service_id/shape_id returns a 400."""
+    response = api_client.get("/api/find-trips/", {"route_id": "route-1"})
+
+    assert response.status_code == 400
+    assert "error" in response.json()
diff --git a/backend/api/tests/test_which_shapes.py b/backend/api/tests/test_which_shapes.py
new file mode 100644
index 0000000..0ebc3d1
--- /dev/null
+++ b/backend/api/tests/test_which_shapes.py
@@ -0,0 +1,34 @@
+"""API tests for WhichShapesView (`GET /api/which-shapes/`).
+
+First step of the run-registration UI cascade: given a route, return the
+distinct GeoShapes used by its stop sequence in the current feed.
+"""
+
+import pytest
+
+
+@pytest.mark.django_db
+def test_returns_shape_metadata_for_route(api_client, route, route_stop, geo_shape):
+    """A route with one RouteStop returns its linked GeoShape's metadata."""
+    response = api_client.get("/api/which-shapes/", {"route_id": route.route_id})
+
+    assert response.status_code == 200
+    body = response.json()
+    assert body == [
+        {
+            "shape_id": geo_shape.shape_id,
+            "shape_name": geo_shape.shape_name,
+            "shape_desc": geo_shape.shape_desc,
+            "shape_from": geo_shape.shape_from,
+            "shape_to": geo_shape.shape_to,
+        }
+    ]
+
+
+@pytest.mark.django_db
+def test_returns_empty_list_for_unknown_route(api_client, current_feed):
+    """An unresolvable route_id returns an empty list rather than erroring."""
+    response = api_client.get("/api/which-shapes/", {"route_id": "ghost-route"})
+
+    assert response.status_code == 200
+    assert response.json() == []
diff --git a/backend/api/views.py b/backend/api/views.py
index ce86a9f..b554301 100644
--- a/backend/api/views.py
+++ b/backend/api/views.py
@@ -670,45 +670,42 @@ def get(self, request: Request) -> Response:
 
 
 class WhichShapesView(APIView):
-    """Endpoint returning the distinct shapes used by a route's stops, given `?route_id=`."""
+    """First step of the run-registration UI cascade: given a route, return the distinct shapes used by its stops."""
 
     def get(self, request: Request) -> Response:
-        """Return the distinct GeoShapes used by the given route in the current feed."""
+        """Return shape metadata (shape_id, name, desc, from/to) for the distinct GeoShapes used by `?route_id=` in the current feed, or an empty list if the route/feed can't be resolved."""
         route_id = request.query_params.get("route_id")
         feed = Feed.objects.filter(is_current=True).first()
-        route = Route.objects.filter(feed=feed, route_id=route_id).first()
-        # Pre-existing bug, out of scope for this docs/type-hints pass: RouteStop
-        # has no "route"/"shape" fields (only linked_route/linked_shape), so this
-        # query raises FieldError at runtime; flagged in the task report rather
-        # than fixed here. `# type: ignore` silences the resulting mypy errors
-        # (field names it can't resolve, then a RouteStop row treated as a dict).
-        shapes = RouteStop.objects.filter(route=route)  # type: ignore[misc]
-        shapes = shapes.values("shape").distinct()  # type: ignore[misc]
-        geo_shapes = []
-        for shape in shapes:
-            geo_shape = (
-                GeoShape.objects.filter(id=shape["shape"])  # type: ignore[index, misc]
-                .values(
-                    "shape_id",
-                    "direction_id",
-                    "shape_name",
-                    "shape_desc",
-                    "shape_from",
-                    "shape_to",
-                )
-                .first()
-            )
-            geo_shapes.append(geo_shape)
+        route = (
+            Route.objects.filter(feed=feed, route_id=route_id).first()
+            if route_id
+            else None
+        )
+        if not route:
+            return Response([])
+
+        shape_pks = (
+            RouteStop.objects.filter(linked_route=route)
+            .values_list("linked_shape", flat=True)
+            .distinct()
+        )
+        geo_shapes = GeoShape.objects.filter(id__in=shape_pks).values(
+            "shape_id",
+            "shape_name",
+            "shape_desc",
+            "shape_from",
+            "shape_to",
+        )
 
         serializer = WhichShapesSerializer(geo_shapes, many=True)
         return Response(serializer.data)
 
 
 class FindTripsView(APIView):
-    """Endpoint returning scheduled trips matching a route/service/shape, with their run lifecycle state."""
+    """Second step of the run-registration UI cascade: given a route/service/shape selection, return candidate trips."""
 
     def get(self, request: Request) -> Response:
-        """Return trips for `?route_id=&service_id=&shape_id=`, each tagged with its run's lifecycle state."""
+        """Return trips for `?route_id=&service_id=&shape_id=`, each tagged with its run's lifecycle state, or 400 if any parameter is missing."""
         # Get the query parameters
         route_id = request.query_params.get("route_id")
         service_id = request.query_params.get("service_id")
@@ -732,14 +729,13 @@ def get(self, request: Request) -> Response:
 
         selected_trips = []
         for trip in trips:
-            # Pre-existing bug, out of scope for this docs/type-hints pass:
-            # TripTime has no "trip_time" field (it's "departure_time"), so this
-            # raises FieldError at runtime; flagged in the task report rather
-            # than fixed here.
+            # TripTime relates to Trip via the `linked_trip` FK (resolved on
+            # save from feed+trip_id) rather than the bare trip_id string, so
+            # this can't cross-match a same-numbered trip from another feed.
             this_trip = (
-                TripTime.objects.filter(trip_id=trip.trip_id)  # type: ignore[misc]
-                .order_by("trip_time")
-                .values("trip_id", "trip_time")
+                TripTime.objects.filter(linked_trip=trip)
+                .order_by("departure_time")
+                .values("trip_id", "departure_time")
                 .first()
             )
             if this_trip:
@@ -761,7 +757,7 @@ def get(self, request: Request) -> Response:
                 selected_trips.append(
                     {
                         "trip_id": this_trip["trip_id"],
-                        "trip_time": this_trip["trip_time"],
+                        "trip_time": this_trip["departure_time"],
                         "run_lifecycle_state": run_lifecycle_state,
                         "direction_id": trip.direction_id,
                         "trip_headsign": trip.trip_headsign,

From 487c1b92506e1edd262308ad4441788d4d40dfe6 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 11:47:18 -0600
Subject: [PATCH 46/68] fix(api): point CompanySerializer at the real
 linked_agency field

CompanySerializer declared a PrimaryKeyRelatedField for "agency", but the
Company model has no such field -- it's linked_agency (M2M to Agency).
Dropping the stale explicit field declaration (plus a duplicated Meta.model
line) lets HyperlinkedModelSerializer introspect the model correctly,
fixing the live /api/company/ endpoint.
---
 backend/api/serializers.py        |  5 +---
 backend/api/tests/test_company.py | 45 +++++++++++++++++++++++++++++++
 2 files changed, 46 insertions(+), 4 deletions(-)
 create mode 100644 backend/api/tests/test_company.py

diff --git a/backend/api/serializers.py b/backend/api/serializers.py
index 6d5f9a4..be692e3 100644
--- a/backend/api/serializers.py
+++ b/backend/api/serializers.py
@@ -52,12 +52,9 @@ class LoginSerializer(serializers.Serializer):
 
 
 class CompanySerializer(serializers.HyperlinkedModelSerializer):
-    """Serialize a Company, the legal entity operating vehicles under a GTFS Agency."""
-
-    agency = serializers.PrimaryKeyRelatedField(queryset=Agency.objects.all())
+    """Serialize a Company, the legal entity operating vehicles under one or more GTFS Agencies."""
 
     class Meta:
-        model = Company
         model = Company
         fields = "__all__"
         ordering = ["id"]
diff --git a/backend/api/tests/test_company.py b/backend/api/tests/test_company.py
new file mode 100644
index 0000000..12101ca
--- /dev/null
+++ b/backend/api/tests/test_company.py
@@ -0,0 +1,45 @@
+"""API tests for the live CompanyViewSet (`GET /api/company/`).
+
+CompanySerializer previously declared a PrimaryKeyRelatedField for a
+non-existent `agency` attribute (the Company model's field is the M2M
+`linked_agency`); these tests exercise the real field end to end.
+"""
+
+import pytest
+
+from feed.models import Agency
+from operations.models import Company
+
+
+@pytest.mark.django_db
+def test_list_serializes_linked_agency(api_client, agency: Agency):
+    """Listing a Company with a linked agency serializes linked_agency as a list of agency PKs."""
+    company = Company.objects.create(id="company-1", name="Test Transit Co.")
+    company.linked_agency.set([agency])
+
+    response = api_client.get("/api/company/")
+
+    assert response.status_code == 200
+    body = response.json()
+    assert len(body) == 1
+    # HyperlinkedModelSerializer swaps the pk for a `url` field rather than
+    # exposing `id` directly, so identify the row by name and check the URL
+    # embeds the pk instead.
+    assert body[0]["name"] == "Test Transit Co."
+    assert "company-1" in body[0]["url"]
+    # HyperlinkedModelSerializer represents the M2M as hyperlinks too, one per
+    # linked agency.
+    assert len(body[0]["linked_agency"]) == 1
+    assert f"/api/agency/{agency.pk}/" in body[0]["linked_agency"][0]
+
+
+@pytest.mark.django_db
+def test_list_serializes_company_with_no_linked_agency(api_client, db):
+    """A Company with no linked agencies still serializes, with an empty linked_agency list."""
+    Company.objects.create(id="company-2", name="Agency-less Co.")
+
+    response = api_client.get("/api/company/")
+
+    assert response.status_code == 200
+    body = response.json()
+    assert body[0]["linked_agency"] == []

From 27707885a9de56503a3c6ee57a5a6f7f4a275d23 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 11:52:03 -0600
Subject: [PATCH 47/68] feat(runs): implement is_run_validated as a
 revalidation guard

is_run_validated was a no-op returning True, leaving a race window between
VALIDATE_RUN and INITIALIZE_RUN: a vehicle/trip/operator could be claimed
by another run, or the nightly build_schedule feed rotation could drop the
run's trip, in between the two events. The guard now re-delegates to
is_vehicle_available/is_trip_available/is_operator_available (idempotent
re-fires where this run already holds its own claims still pass) and
re-confirms the trip exists in whichever feed is current now, raising
RunLifecycleError with field-keyed detail on failure. Transition table and
guard wiring are unchanged -- all fixed inside the guard itself.
---
 backend/runs/domain/lifecycle/guards.py       |  29 ++-
 .../tests/test_guards_is_run_validated.py     | 200 ++++++++++++++++++
 2 files changed, 228 insertions(+), 1 deletion(-)
 create mode 100644 backend/runs/domain/lifecycle/tests/test_guards_is_run_validated.py

diff --git a/backend/runs/domain/lifecycle/guards.py b/backend/runs/domain/lifecycle/guards.py
index e566e0f..cc533be 100644
--- a/backend/runs/domain/lifecycle/guards.py
+++ b/backend/runs/domain/lifecycle/guards.py
@@ -181,7 +181,34 @@ def is_vehicle_tracked(
     def is_run_validated(
         run: Run, transition: "Transition", payload: dict[str, Any]
     ) -> bool:
-        """No-op guard: validation was already enforced by the VALIDATE_RUN transition, so this always passes."""
+        """Revalidate resource availability and the run's trip against the *current* feed before INITIALIZE_RUN.
+
+        Closes the VALIDATE_RUN -> INITIALIZE_RUN race window: re-runs the
+        same vehicle/trip/operator availability checks performed at
+        VALIDATE_RUN (each raises only when the resource is claimed by a
+        *different* run, so a re-fire where this run already holds its own
+        claims still passes), then re-confirms the run's trip still exists
+        in whichever feed is current *now* -- the successor of the old
+        validate_schedule check, covering the nightly build_schedule feed
+        rotation that may have happened between validation and
+        initialization. Raises RunLifecycleError with field-keyed detail on
+        any failure.
+        """
+        from feed.models import Feed, Trip
+
+        RunLifecycleGuards.is_vehicle_available(run, transition, payload)
+        RunLifecycleGuards.is_trip_available(run, transition, payload)
+        RunLifecycleGuards.is_operator_available(run, transition, payload)
+
+        trip_id = payload.get("trip_id") or run.trip_id
+        feed = Feed.objects.filter(is_current=True).first()
+        if not feed:
+            raise RunLifecycleError({"feed": "No current GTFS feed found"})
+        if not trip_id or not Trip.objects.filter(feed=feed, trip_id=trip_id).exists():
+            raise RunLifecycleError(
+                {"trip_id": f"trip_id '{trip_id}' not found in current GTFS feed"}
+            )
+
         return True
 
     @staticmethod
diff --git a/backend/runs/domain/lifecycle/tests/test_guards_is_run_validated.py b/backend/runs/domain/lifecycle/tests/test_guards_is_run_validated.py
new file mode 100644
index 0000000..6c9d3a5
--- /dev/null
+++ b/backend/runs/domain/lifecycle/tests/test_guards_is_run_validated.py
@@ -0,0 +1,200 @@
+"""Unit tests for RunLifecycleGuards.is_run_validated.
+
+The VALIDATE_RUN -> INITIALIZE_RUN revalidation guard: re-runs the resource
+availability checks and re-confirms the run's trip against whichever feed is
+current *now*, closing the race window between validation and
+initialization (including the nightly build_schedule feed rotation).
+
+Real Postgres is used for the Feed/Trip/Run rows (guards.py already needs
+Django DB access for these lookups); the module-level Redis client is
+swapped for an in-memory fake since only `.get` is exercised by the guards
+under test.
+"""
+
+from datetime import date
+
+import pytest
+from django.contrib.auth.models import User
+
+from feed.models import Agency, Calendar, Feed, Route, Trip
+from operations.models import Operator, Vehicle
+from runs.domain.lifecycle import guards as guards_module
+from runs.domain.lifecycle.events import RunLifecycleEvents
+from runs.domain.lifecycle.guards import RunLifecycleGuards
+from runs.domain.lifecycle.states import RunLifecycleStates
+from runs.domain.lifecycle.transitions import Transition
+from runs.models import Run
+from runs.services.exceptions import RunLifecycleError
+
+
+class _FakeRedis:
+    """Stand-in for the module-level Redis client: only `.get` is used by the guards under test."""
+
+    def __init__(self) -> None:
+        self.store: dict[str, str] = {}
+
+    def get(self, key: str) -> bytes | None:
+        """Return the stored value for `key` as bytes, or None if absent (mirrors redis-py's `.get`)."""
+        value = self.store.get(key)
+        return value.encode() if value is not None else None
+
+
+@pytest.fixture
+def fake_redis(monkeypatch: pytest.MonkeyPatch) -> _FakeRedis:
+    """Swap the guards module's real Redis client for an in-memory fake."""
+    fake = _FakeRedis()
+    monkeypatch.setattr(guards_module, "r", fake)
+    return fake
+
+
+@pytest.fixture
+def feed(db) -> Feed:
+    """Create and return a Feed marked as the current GTFS feed."""
+    return Feed.objects.create(feed_id="feed-1", is_current=True)
+
+
+@pytest.fixture
+def vehicle(db) -> Vehicle:
+    """Create a Vehicle."""
+    return Vehicle.objects.create(id="veh-1", license_plate="ABC-123")
+
+
+@pytest.fixture
+def operator(db) -> Operator:
+    """Create an Operator backed by a fresh auth User."""
+    user = User.objects.create_user(username="op-test", password="pw")
+    return Operator.objects.create(id="op-1", user=user)
+
+
+@pytest.fixture
+def calendar(feed: Feed) -> Calendar:
+    """Create a Calendar (service) valid all of 2026 in `feed`."""
+    return Calendar.objects.create(
+        feed=feed,
+        service_id="svc-1",
+        monday=True,
+        tuesday=True,
+        wednesday=True,
+        thursday=True,
+        friday=True,
+        saturday=False,
+        sunday=False,
+        start_date=date(2026, 1, 1),
+        end_date=date(2026, 12, 31),
+    )
+
+
+@pytest.fixture
+def route(feed: Feed) -> Route:
+    """Create a Route in `feed`, with its required Agency."""
+    agency = Agency.objects.create(
+        feed=feed,
+        agency_id="ag-1",
+        agency_name="Test Agency",
+        agency_url="https://example.com",
+        agency_timezone="America/Costa_Rica",
+    )
+    return Route.objects.create(feed=feed, route_id="r-1", agency_id=agency.agency_id)
+
+
+@pytest.fixture
+def trip(feed: Feed, route: Route, calendar: Calendar) -> Trip:
+    """Create a Trip in `feed` for `route`/`calendar`."""
+    return Trip.objects.create(
+        feed=feed,
+        route_id=route.route_id,
+        service_id=calendar.service_id,
+        trip_id="t-1",
+        direction_id=0,
+        shape_id="s-1",
+        wheelchair_accessible=0,
+        bikes_allowed=0,
+    )
+
+
+@pytest.fixture
+def run(vehicle: Vehicle, operator: Operator, trip: Trip) -> Run:
+    """Create a VALIDATED Run for `trip`, claimed by `vehicle`/`operator`."""
+    run = Run.objects.create(
+        trip_id=trip.trip_id,
+        route_id=trip.route_id,
+        direction_id=trip.direction_id,
+        shape_id=trip.shape_id,
+        start_date=date.today(),
+        run_lifecycle_state=RunLifecycleStates.VALIDATED,
+    )
+    run.vehicle.set([vehicle])
+    run.operator.set([operator])
+    return run
+
+
+def _transition() -> Transition:
+    return Transition(
+        from_state=RunLifecycleStates.VALIDATED,
+        event=RunLifecycleEvents.INITIALIZE_RUN,
+        to_state=RunLifecycleStates.INITIALIZED,
+        guards=[RunLifecycleGuards.is_run_validated],
+        actions=[],
+    )
+
+
+def test_passes_when_resources_free(fake_redis: _FakeRedis, run: Run) -> None:
+    """No Redis claims at all: every availability check and the trip lookup pass."""
+    assert RunLifecycleGuards.is_run_validated(run, _transition(), {}) is True
+
+
+def test_passes_when_claims_belong_to_this_run(
+    fake_redis: _FakeRedis, run: Run, vehicle: Vehicle, operator: Operator, trip: Trip
+) -> None:
+    """A re-fire where this run already holds its own vehicle/trip/operator claims still passes."""
+    fake_redis.store[f"vehicle:{vehicle.id}:current_run"] = str(run.id)
+    fake_redis.store[f"trip:{trip.trip_id}:current_run"] = str(run.id)
+    fake_redis.store[f"operator:{operator.id}:current_run"] = str(run.id)
+
+    assert RunLifecycleGuards.is_run_validated(run, _transition(), {}) is True
+
+
+def test_raises_when_vehicle_claimed_by_another_run(
+    fake_redis: _FakeRedis, run: Run, vehicle: Vehicle
+) -> None:
+    """A vehicle claimed by a different run's ID raises with vehicle_id detail."""
+    fake_redis.store[f"vehicle:{vehicle.id}:current_run"] = "some-other-run-id"
+
+    with pytest.raises(RunLifecycleError) as exc_info:
+        RunLifecycleGuards.is_run_validated(run, _transition(), {})
+    assert "vehicle_id" in exc_info.value.errors
+
+
+def test_raises_when_trip_claimed_by_another_run(
+    fake_redis: _FakeRedis, run: Run, trip: Trip
+) -> None:
+    """A trip claimed by a different run's ID raises with trip_id detail."""
+    fake_redis.store[f"trip:{trip.trip_id}:current_run"] = "some-other-run-id"
+
+    with pytest.raises(RunLifecycleError) as exc_info:
+        RunLifecycleGuards.is_run_validated(run, _transition(), {})
+    assert "trip_id" in exc_info.value.errors
+
+
+def test_raises_when_operator_claimed_by_another_run(
+    fake_redis: _FakeRedis, run: Run, operator: Operator
+) -> None:
+    """An operator claimed by a different run's ID raises with operator_id detail."""
+    fake_redis.store[f"operator:{operator.id}:current_run"] = "some-other-run-id"
+
+    with pytest.raises(RunLifecycleError) as exc_info:
+        RunLifecycleGuards.is_run_validated(run, _transition(), {})
+    assert "operator_id" in exc_info.value.errors
+
+
+def test_raises_when_trip_absent_from_current_feed(
+    fake_redis: _FakeRedis, run: Run, trip: Trip, feed: Feed
+) -> None:
+    """If the feed rotated (nightly build_schedule) and the run's trip isn't in the new current feed, raise."""
+    feed.is_current = False
+    feed.save()
+    Feed.objects.create(feed_id="feed-2", is_current=True)
+
+    with pytest.raises(RunLifecycleError) as exc_info:
+        RunLifecycleGuards.is_run_validated(run, _transition(), {})
+    assert "trip_id" in exc_info.value.errors

From 1c1d6cfcb36ba5b3f8e5670aed883dae05a3d210 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 11:59:55 -0600
Subject: [PATCH 48/68] docs: add READMEs for api, feed, operations, website,
 messages, databus, eta_models

---
 backend/api/README.md        | 72 +++++++++++++++++++++++++++++++++
 backend/databus/README.md    | 78 ++++++++++++++++++++++++++++++++++++
 backend/eta_models/README.md | 78 ++++++++++++++++++++++++++++++++++++
 backend/feed/README.md       | 64 +++++++++++++++++++++++++++++
 backend/messages/README.md   | 78 ++++++++++++++++++++++++++++++++++++
 backend/operations/README.md | 49 ++++++++++++++++++++++
 backend/website/README.md    | 28 +++++++++++++
 7 files changed, 447 insertions(+)
 create mode 100644 backend/api/README.md
 create mode 100644 backend/databus/README.md
 create mode 100644 backend/eta_models/README.md
 create mode 100644 backend/feed/README.md
 create mode 100644 backend/messages/README.md
 create mode 100644 backend/operations/README.md
 create mode 100644 backend/website/README.md

diff --git a/backend/api/README.md b/backend/api/README.md
new file mode 100644
index 0000000..5a46036
--- /dev/null
+++ b/backend/api/README.md
@@ -0,0 +1,72 @@
+# API · public REST layer (DRF)
+
+- **Purpose**: the orchestrator's control plane. Exposes run registration and lifecycle
+  transitions, read-only GTFS Schedule resources, two lookup endpoints that back the
+  run-registration UI cascade, and the static realtime OpenAPI schema. Django models: none —
+  `api` is a REST layer over `runs`, `operations`, and `feed` models.
+- **Key modules**:
+  - `views.py` — all ViewSets/APIViews (operations, runs, GTFS Schedule, auxiliary GTFS)
+  - `serializers.py` — DRF serializers, including `CreateRunSerializer` / `RunUpdateSerializer`
+  - `urls.py` — router registrations + custom paths
+  - `realtime.yml` — static GTFS Realtime/MQTT OpenAPI/AsyncAPI schema, served as a file download
+
+## Run registration & lifecycle
+
+- `POST /api/create-run/` (`CreateRunViewSet`) — validates the payload, resolves
+  `vehicle_id`/`operator_id`, creates the `Run` row (implicit `RUN_REQUESTED`), then drives it
+  through `RunLifecycleEvents.VALIDATE_RUN` → `RunLifecycleEvents.INITIALIZE_RUN` via
+  `RunLifecycleService`. Any failed step returns the failing stage (`serialization`,
+  `operational_validation`, `registration`, `gtfs_validation`, `initialization`) with a matching
+  HTTP status (`api/views.py:199-279`).
+- `GET /api/runs/<uuid:run_id>/state/` — current `run_lifecycle_state`.
+- `POST /api/runs/<uuid:run_id>/update/` (`RunUpdateViewSet`) — advances a run's FSM. The `event`
+  field takes the **lowercase** `RunLifecycleEvents` value (e.g. `run_confirmed_by_operator`, not
+  the enum member name); `RunUpdateSerializer` validates against `RunLifecycleEvents` and any
+  extra `details` are flattened into the payload before `process_event` (`api/views.py:303-366`).
+- `GET /api/runs/<uuid:run_id>/history/` — ordered `RunLifecycleTransition` audit log.
+
+## GTFS Schedule + registration-UI lookups
+
+- Router-registered read/write resources for `agency`, `stops`/`geo-stops`, `shapes`/`geo-shapes`,
+  `routes`, `calendars`, `calendar-dates`, `trips`, `stop-times`, `fare-attributes`, `fare-rules`,
+  `feed-info` (all backed by `feed.models`, unauthenticated).
+- `GET /api/service-today/?date=YYYY-MM-DD` — active GTFS `service_id`s for a date.
+- `GET /api/which-shapes/?route_id=` — step 1 of the registration cascade: distinct
+  `GeoShape`s used by a route's stops in the current (`is_current=True`) feed.
+- `GET /api/find-trips/?route_id=&service_id=&shape_id=` — step 2: candidate trips, each tagged
+  with its matching `Run`'s lifecycle state (or `"UNKNOWN"`).
+
+## Operations resources
+
+Router-registered ViewSets over `operations.models`: `company`, `operator`, `data-provider`,
+`vehicle` (filterable by `company`), `equipment`, `equipment-log` (filterable by `equipment`,
+`data_provider`, `vehicle`), plus `position`, `stop-status`, `occupancy`, `congestion` from
+`runs.models`. All except `CompanyViewSet` use `TokenAuthentication`.
+
+## Auth & docs
+
+- `POST /api/login/` — username/password → DRF auth `Token` + operator basic info.
+- Global default authentication is `TokenAuthentication` (`databus/settings.py` `REST_FRAMEWORK`).
+- `GET /api/docs/schema/` — serves the **static** file `api/realtime.yml` as a download
+  (`api/views.py:89-94`); this is a hand-maintained schema, not the dynamic drf-spectacular route.
+- `GET /api/docs/` — ReDoc page (`SpectacularRedocView`, clickjacking-exempt so it can be
+  embedded). Note `drf_spectacular`'s dynamic OpenAPI generation is installed (`SPECTACULAR_SETTINGS`
+  in `databus/settings.py`) but the `docs/schema/` route intentionally serves the static YAML
+  instead of the generated schema — the dynamic route is unfinished.
+
+## Configuration
+
+No app-specific env vars; auth/schema settings come from `databus/settings.py`
+(`REST_FRAMEWORK`, `SPECTACULAR_SETTINGS`).
+
+## Tests
+
+```
+docker compose -f compose.dev.yml run --rm orchestrator uv run pytest api/ -q
+```
+`api/tests/` covers `company`, `find-trips`, and `which-shapes`; `make test` runs the full suite.
+
+## Docs
+
+- [REST API](../../docs/content/interfaces/rest-api.md)
+- [Run lifecycle states](../../docs/content/runs/lifecycle-states.md)
diff --git a/backend/databus/README.md b/backend/databus/README.md
new file mode 100644
index 0000000..a108c38
--- /dev/null
+++ b/backend/databus/README.md
@@ -0,0 +1,78 @@
+# Databús · Django project package
+
+- **Purpose**: the Django project itself — settings, the Celery app (task discovery, MQTT
+  consumer bootstep registration, beat schedule), ASGI/WSGI entry points, and root URL
+  configuration. Every other app under `backend/` is `INSTALLED_APPS`-registered here.
+- **Key modules**:
+  - `settings.py` — all Django/Celery/Channels/DRF configuration, env-driven via `python-decouple`
+  - `celery.py` — the `Celery("databus")` app, MQTT consumer bootstep registration, `beat_schedule`
+  - `urls.py` — root URLconf (`admin/`, `website.urls` at `/`, `api.urls` at `/api/`,
+    `feed.urls` at `/feed/`)
+  - `asgi.py` / `wsgi.py` — ASGI (Daphne, for Channels/WebSocket) and WSGI entry points
+
+## Settings — required env vars (`decouple.config`)
+
+| Variable | Notes |
+| --- | --- |
+| `SECRET_KEY` | required, no default |
+| `DEBUG` | required, cast `bool` |
+| `ALLOWED_HOSTS` | required, cast `Csv()` |
+| `DB_NAME`, `DB_USER`, `DB_PASSWORD`, `DB_HOST`, `DB_PORT` | required, PostGIS connection |
+| `GDAL_LIBRARY_PATH`, `GEOS_LIBRARY_PATH` | required only on macOS (`platform.system() == "Darwin"`) |
+| `REDIS_HOST`, `REDIS_PORT` | required — used for `CHANNEL_LAYERS` (`channels_redis`) |
+| `RABBITMQ_HOST`, `RABBITMQ_PORT` | required — compose `CELERY_BROKER_URL` |
+| `RABBITMQ_USER`, `RABBITMQ_PASS` | optional, default `guest`/`guest` |
+| `STATIC_URL` | optional, default `/static/` |
+| `MEDIA_URL` | optional, default `/media/` |
+
+`CELERY_BROKER_URL` is derived, not read directly: `amqp://{RABBITMQ_USER}:{RABBITMQ_PASS}@{RABBITMQ_HOST}:{RABBITMQ_PORT}//`
+(`settings.py:146-148`). `CELERY_RESULT_BACKEND = "django-db"`, results are extended
+(`CELERY_RESULTS_EXTENDED = True`), and `django_celery_beat`/`django_celery_results` are both
+installed apps. `DJANGO_SERVE_STATIC` (plain `os.environ`, not decouple) additionally toggles
+serving static/media through Django outside `DEBUG` (`urls.py:33-42`).
+
+## Celery app (`celery.py`)
+
+- Discovers tasks from every installed app (`app.autodiscover_tasks()`).
+- Registers `realtime_engine.mqtt.MQTTConsumerStep` as a worker bootstep
+  (`app.steps["worker"].add(MQTTConsumerStep)`); the step itself no-ops unless
+  `MQTT_CONSUMER_ENABLED` is set, so only the `realtime-engine` container actually starts an MQTT
+  connection.
+- `debug_task` — prints the current task's request context, for sanity-checking worker
+  connectivity.
+
+### Beat schedule (`app.conf.beat_schedule`, `celery.py:47-74`)
+
+| Name | Task | Interval | Notes |
+| --- | --- | --- | --- |
+| `fetch-positions` | `realtime_engine.tasks.fetch_positions` | every 10s | `options: {"expires": 10}` — a task that hasn't started within its own cycle is revoked rather than queued behind a slow HTTP source |
+| `build-vehicle-positions-every-15s` | `schedule_engine.tasks.build_vehicle_positions` | every 15s | |
+| `build-trip-updates-every-15s` | `schedule_engine.tasks.build_trip_updates` | every 15s | |
+| `scan-stale-runs-every-30s` | `realtime_engine.tasks.scan_stale_runs` | every 30s | |
+| `build-schedule-daily` | `schedule_engine.tasks.build_schedule` | every 1 day | rebuilds `feed/files/gtfs.zip` |
+
+This is the beat schedule as actually configured in code — it lives in `app.conf.beat_schedule`
+here, not in Django admin.
+
+## ASGI / WSGI / URLs
+
+- `ASGI_APPLICATION = "databus.asgi.application"` — served by Daphne (`daphne` + `channels` apps
+  installed) to support the Channels layer (`CHANNEL_LAYERS` → `channels_redis`, keyed off
+  `REDIS_HOST`/`REDIS_PORT`).
+- `WSGI_APPLICATION = "databus.wsgi.application"`.
+- Root URLconf mounts: `admin/` (Django admin), `""` (`website.urls`), `api/` (`api.urls`),
+  `feed/` (`feed.urls`); media/static are served through Django when `DEBUG` or
+  `DJANGO_SERVE_STATIC` is set.
+
+## Tests
+
+```
+docker compose -f compose.dev.yml run --rm orchestrator uv run pytest -q
+```
+No `databus/tests.py` of its own — this package is exercised indirectly by every other app's test
+suite. `make test` runs the full suite.
+
+## Docs
+
+- [Celery workers, queues & beat](../../docs/content/operations/celery.md)
+- [Configuration & environment variables](../../docs/content/operations/configuration.md)
diff --git a/backend/eta_models/README.md b/backend/eta_models/README.md
new file mode 100644
index 0000000..f3c2aad
--- /dev/null
+++ b/backend/eta_models/README.md
@@ -0,0 +1,78 @@
+# ETA Models · committed baseline model registry
+
+- **Purpose**: the committed, on-disk model registry consumed by the ETA estimator
+  (`gtfs-eta`, the sibling `simovilab/gtfs-eta` repo, vendored via `uv` editable install — see
+  `backend/pyproject.toml`). Ships one baseline model so a fresh checkout has a working estimator
+  without training anything.
+- **Contents**:
+  - `registry.json` — the registry index: one entry per model key, with **relative** paths
+  - `polyreg_distance_global_baseline_v0.pkl` — the fitted model artifact
+  - `polyreg_distance_global_baseline_v0_meta.json` — its metadata (metrics, training params)
+
+## Registry format
+
+`registry.json` maps a model key to its metadata:
+
+```json
+{
+  "polyreg_distance_global_baseline_v0": {
+    "model_path": "polyreg_distance_global_baseline_v0.pkl",
+    "meta_path": "polyreg_distance_global_baseline_v0_meta.json",
+    "saved_at": "2026-08-19T00:41:44.406894",
+    "model_type": "polyreg_distance",
+    "route_id": null,
+    "dataset": "synthetic_constant_speed"
+  }
+}
+```
+
+`model_path`/`meta_path` are stored **relative to the registry directory** — `gtfs-eta`'s
+`ModelRegistry` joins them onto `base_dir` when loading, and falls back to matching by basename if
+a stored path doesn't resolve directly, so the registry directory can be relocated wholesale
+without editing `registry.json`. `route_id: null` marks a model as the **global** fallback (as
+opposed to route-specific).
+
+The shipped model is a synthetic baseline: `PolyRegDistanceModel(degree=1, alpha=1.0,
+route_specific=False)` fit on 1000 synthetic constant-speed samples (~4.5 m/s, an urban bus
+average) — not trained on real telemetry. It exists so `estimate_stop_times` always has *some*
+model to fall back to.
+
+## Seeding
+
+This directory is seeded (and can be re-seeded) by the sibling `gtfs-eta` repo's script:
+
+```
+export MODEL_REGISTRY_DIR=backend/eta_models
+python -m gtfs_eta.seed_baseline_model
+```
+
+(`gtfs-eta/gtfs_eta/seed_baseline_model.py`) — fits the model above and calls
+`registry.save_model(MODEL_KEY, model, metadata, overwrite=True)`, which writes the `.pkl` +
+`_meta.json` pair and updates `registry.json`.
+
+## Consumer: the lazy-import seam
+
+`runs/domain/progression/stop_times.py` is the only consumer in this codebase. It imports
+`gtfs_eta.feature_engineering.spatial.ShapePolyline` and
+`gtfs_eta.eta_service.estimator` **lazily**, inside `produce_stop_times`, specifically to keep
+Django startup clean when the model registry / `gtfs-eta` extras aren't needed
+(`runs/domain/progression/stop_times.py:182-193`). It's called by `realtime_engine/tasks.py` after
+every successful position write, populating `run:<run_id>:stop_time_updates` in Redis for the
+GTFS-RT builder.
+
+## Configuration
+
+- `MODEL_REGISTRY_DIR` — directory the registry loads from, read by `gtfs_eta`'s registry
+  singleton itself (`os.getenv("MODEL_REGISTRY_DIR")`, falling back to `gtfs_eta`'s own config
+  default) — not by Django settings. Point it at this directory (`backend/eta_models`) to use the
+  committed baseline. Not currently set in `compose.dev.yml`; must be set explicitly wherever the
+  worker that calls `produce_stop_times` runs.
+- `ETA_MAX_STOPS` (default `3`) and `ETA_DEFAULT_UNCERTAINTY_S` (default `120`) — read directly by
+  `runs/domain/progression/stop_times.py`, not by this directory, but they shape how the models
+  here get used.
+
+## Tests
+
+No tests live in this directory (it is data, not code). The consumer seam is covered by
+`runs/domain/progression/tests/test_stop_times_producer.py`, which points `MODEL_REGISTRY_DIR` at
+a temp directory rather than this one.
diff --git a/backend/feed/README.md b/backend/feed/README.md
new file mode 100644
index 0000000..614bb0f
--- /dev/null
+++ b/backend/feed/README.md
@@ -0,0 +1,64 @@
+# Feed · GTFS Schedule domain + published feed files
+
+- **Purpose**: owns the GTFS Schedule domain models, feed versioning (`GTFSProvider`/`Feed`), the
+  Schedule zip exporter, and the HTTP endpoints that serve published GTFS Schedule and GTFS
+  Realtime files from disk. Not to be confused with `schedule_engine`, which *builds* the GTFS-RT
+  protobufs consumed here.
+- **Key modules**:
+  - `models.py` — `GTFSProvider`, `Feed`, and one concrete model per GTFS Schedule table
+  - `schedule/exporter.py` — `build_gtfs_zip` / `publish_gtfs_zip`
+  - `management/commands/export_gtfs.py` — `manage.py export_gtfs`
+  - `views.py` / `urls.py` — file-serving endpoints
+
+## Domain models
+
+Every GTFS Schedule table (`Agency`, `Stop`, `Route`, `Calendar`, `CalendarDate`, `Shape`, `Trip`,
+`StopTime`, `FareAttribute`, `FareRule`, `FeedInfo`) subclasses an abstract `Base*` model imported
+from the `gtfs-django` workspace package (`feed/models.py:10-22`), then adds a `feed` FK, a
+per-feed uniqueness constraint, and (for most) a `linked_*` FK resolved on `save()` for fast joins
+(e.g. `Trip.linked_route`, `StopTime.linked_trip`/`linked_stop`). `GeoShape`, `RouteStop`,
+`TripDuration`, and `TripTime` are app-specific auxiliary models (not from `gtfs-django`) used by
+the registration-UI lookups in `api`. `FeedMessage`/`TripUpdate`/`StopTimeUpdate`/`VehiclePosition`
+model the normalized GTFS-RT entities for persisted blobs; `Alert` is a placeholder (TODO in
+source, not fed by any current pipeline).
+
+`GTFSProvider` is the org that supplies a feed (may serve multiple agencies); `Feed` is one
+retrieved version, marked `is_current=True` to select the active feed. `is_current` is read
+directly by `api`'s `WhichShapesView`/`FindTripsView` and by the exporter — there is no automatic
+supersession logic in this app; whichever `Feed` is flagged is authoritative.
+
+## Schedule exporter
+
+`feed/schedule/exporter.py` reads the ORM for one `Feed` and serializes it into a GTFS-compliant
+`.zip` in memory (`build_gtfs_zip`), excluding internal-only columns (`id`, `feed`, `geoshape`,
+`stop_point`, `stop_heading`, `holiday_name`, any `linked_*`). `publish_gtfs_zip` writes it
+atomically (`.tmp` + `Path.replace`) to `feed/files/gtfs.zip` by default. Invoked by
+`manage.py export_gtfs` (requires a `Feed` with `is_current=True`) and by the daily
+`build-schedule` Celery beat entry in `schedule_engine` (see `backend/databus/README.md`).
+
+## Data in / data out
+
+- **Reads**: PostgreSQL, via the models above (no Redis, no queues).
+- **Serves** (via `feed/urls.py`, mounted at `/feed/`):
+  - `GET /feed/schedule/feed.zip` → `feed/files/gtfs.zip` (404 with a helpful message if not yet
+    exported)
+  - `GET /feed/realtime/vehicle_positions.json` / `.pb` → `feed/files/vehicle_positions.{json,pb}`
+  - `GET /feed/realtime/trip_updates.json` / `.pb` → `feed/files/trip_updates.{json,pb}`
+  - `GET /feed/` → status page (`feed/views.py:status`)
+  - These realtime files are written by `schedule_engine`, not by this app.
+
+## Configuration
+
+No app-specific env vars.
+
+## Tests
+
+```
+docker compose -f compose.dev.yml run --rm orchestrator uv run pytest feed/ -q
+```
+`make test` runs the full suite.
+
+## Docs
+
+- [Django Models](../../docs/content/data-model/django-models.md)
+- [GTFS-RT publishing](../../docs/content/data-flow/gtfs-rt-publishing.md)
diff --git a/backend/messages/README.md b/backend/messages/README.md
new file mode 100644
index 0000000..99ddbf2
--- /dev/null
+++ b/backend/messages/README.md
@@ -0,0 +1,78 @@
+# Messages · AMQP domain-event publisher
+
+- **Purpose**: fire-and-forget publisher for run lifecycle domain events, used by
+  `runs.services.lifecycle.RunLifecycleService` so every completed FSM transition is broadcast to
+  other services over RabbitMQ. Publishing failures are logged and swallowed — they never affect
+  the caller's lifecycle path (`messages/publisher.py:1-9`).
+- **Key modules**: `publisher.py` — the entire app (no models, no views, no URLs).
+
+## Transport
+
+- Broker: kombu over the same RabbitMQ instance Celery uses as its broker
+  (`Connection(settings.CELERY_BROKER_URL)`, built lazily on first publish —
+  `messages/publisher.py:66-73` — never at import time, so importing the module never opens a
+  socket).
+- Exchange: `databus.events`, a **durable topic exchange** (`messages/publisher.py:21,27`).
+- Routing key: `runs.lifecycle.<event>`, lowercased (`routing_key_for`, `publisher.py:41-43`) —
+  e.g. `runs.lifecycle.run_confirmed_by_operator`.
+- Publishing goes through kombu's `producers` connection pool (`kombu.pools.producers`), with a
+  bounded retry policy (`max_retries=2`, `interval_start=0`, `interval_step=0.2`,
+  `interval_max=0.5`) passed to `Producer.publish(retry=True, ...)` (`publisher.py:29-35, 86-97`).
+
+## Envelope
+
+`build_envelope` (`publisher.py:46-63`) produces:
+
+```json
+{
+  "event": "run_confirmed_by_operator",
+  "version": 1,
+  "occurred_at": "2026-08-19T00:00:00+00:00",
+  "producer": "databus",
+  "run_id": "<run uuid, stringified>",
+  "from_state": "INITIALIZED",
+  "to_state": "CONFIRMED",
+  "data": { "vehicle_id": "...", "trip_id": "...", "route_id": "..." }
+}
+```
+
+`event`/`from_state`/`to_state` are the enum `.value`s from `RunLifecycleEvents` /
+`RunLifecycleStates`. `data` is populated by the caller — for the lifecycle service it includes
+whatever of `vehicle_id`, `trip_id`, `route_id` are available on the `Run`
+(`runs/services/lifecycle.py:112-132`).
+
+## Consumer contract
+
+An external consumer should:
+1. Declare (or rely on this publisher declaring) the `databus.events` topic exchange, durable.
+2. Bind its own durable queue to that exchange with a topic pattern under `runs.lifecycle.*`
+   (e.g. `runs.lifecycle.run_completed` for one event, `runs.lifecycle.#` for all run lifecycle
+   events).
+3. Deserialize the body as JSON and expect the envelope shape above — `version` is included so
+   consumers can branch on schema changes.
+4. Not expect delivery guarantees beyond the small retry policy above: this publisher is
+   fire-and-forget and does not use publisher confirms, so a consumer that needs strict
+   at-least-once semantics should treat `messages` as best-effort and reconcile via
+   `GET /api/runs/<id>/history/` (the authoritative audit log) rather than relying on AMQP alone.
+
+## Configuration
+
+- `CELERY_BROKER_URL` — read indirectly via `settings.CELERY_BROKER_URL`, itself built from
+  `RABBITMQ_HOST`/`RABBITMQ_PORT`/`RABBITMQ_USER`/`RABBITMQ_PASS` (see `backend/databus/README.md`).
+
+## Tests
+
+```
+docker compose -f compose.dev.yml run --rm orchestrator uv run pytest messages/ -q
+```
+`messages/tests/test_publisher.py` covers routing-key derivation, envelope shape, the
+publish-with-mocked-pool happy path, error-swallowing on connection/publish failures, and lazy
+connection caching. `make test` runs the full suite.
+
+## Note on docs drift
+
+`docs/content/interfaces/amqp-events.md` currently describes this publisher as an unwired stub
+(direct exchange, `print()` instead of `producer.publish()`, different routing-key namespace). That
+page is stale — the code in this app is fully implemented as described above (topic exchange,
+`runs.lifecycle.*` routing keys, real `producer.publish()` via kombu's pool). Worth a doc refresh,
+out of scope for this README.
diff --git a/backend/operations/README.md b/backend/operations/README.md
new file mode 100644
index 0000000..b34f28f
--- /dev/null
+++ b/backend/operations/README.md
@@ -0,0 +1,49 @@
+# Operations · fleet & operator domain
+
+- **Purpose**: owns the fleet/operator domain models — companies, operators, telemetry equipment,
+  and vehicles — that `runs` and `api` reference. No views of its own (`operations/views.py` is a
+  placeholder; reads/writes go through `api`'s router-registered ViewSets).
+- **Key modules**: `models.py` (all domain models), `admin.py` (Django admin registration).
+
+## Models
+
+| Model | Role |
+| --- | --- |
+| `Company` | The legal entity behind a GTFS `Agency` (via `linked_agency` M2M). |
+| `Operator` | A driver/dispatcher/administrator; one-to-one with a Django `User`, M2M to `Company`. |
+| `DataProvider` | Owner of telemetry `Equipment`, M2M to `Company`. |
+| `Vehicle` | A fleet vehicle; FK to `Company`; amenity/accessibility/status choice fields. |
+| `Equipment` | An onboard telemetry device (GPS/sensor unit); FK to `DataProvider` and `Vehicle`. Every `save()` appends a snapshot to `EquipmentLog` (`models.py:162-175`). |
+| `Sensor` | A logical data feed registered on an `Equipment`, flagged by what it provides (`provides_position`, `provides_occupancy`, ...). `source_type` is one of `mqtt` / `http` / `both`; `source_http_url` is the polled URL and `source_json_mapping` its field mapping. |
+| `EquipmentLog` | Immutable audit trail — one row per `Equipment.save()`. |
+
+## `Sensor.source_type=http` → `fetch_positions`
+
+`Sensor` rows with `status="ACTIVE"`, `provides_position=True`, and `source_type in {"http",
+"both"}` are exactly what `realtime_engine.tasks.fetch_positions` polls every 10 seconds
+(`realtime_engine/tasks.py:177-182`): it fetches each sensor's `source_http_url` through the
+`"http"` adapter, filters to vehicles with an active run, and republishes readings on
+`transit/vehicle/<id>/position` for the MQTT consumer path. `Equipment.vehicle` is what resolves a
+sensor to a vehicle for the in-service filter.
+
+## Data in / data out
+
+- PostgreSQL only via the ORM — no Redis keys, no queues, no HTTP endpoints of its own.
+- `logo`/`photo` `ImageField`s are written under `MEDIA_ROOT` (`companies/`, `operators/`,
+  `data-providers/`).
+
+## Configuration
+
+No app-specific env vars.
+
+## Tests
+
+```
+docker compose -f compose.dev.yml run --rm orchestrator uv run pytest operations/ -q
+```
+`operations/tests.py` is currently empty (Django's generated stub); coverage of this app's
+behavior lives in `realtime_engine`'s `fetch_positions` tests. `make test` runs the full suite.
+
+## Docs
+
+- [Django Models](../../docs/content/data-model/django-models.md)
diff --git a/backend/website/README.md b/backend/website/README.md
new file mode 100644
index 0000000..bf0301a
--- /dev/null
+++ b/backend/website/README.md
@@ -0,0 +1,28 @@
+# Website · public landing page
+
+- **Purpose**: this is deliberately tiny. It is a single static Bootstrap landing page mounted at
+  the site root (`/`), linking out to the external docs site and the API's ReDoc page. There is no
+  domain logic here.
+- **Key modules**:
+  - `views.py` — one function, `index`, renders `templates/index.html`
+  - `urls.py` — one route: `path("", views.index, name="inicio")`
+  - `models.py` — empty (no models)
+  - `fixtures/auth.json` — seed auth fixture (unrelated to the page itself)
+
+## Data in / data out
+
+- No database reads/writes, no Redis, no queues.
+- Serves `GET /` → renders `index.html`, which links to `https://databus.simovilab.org/` (docs)
+  and `{% url 'api_docs' %}` (`api`'s ReDoc page).
+
+## Configuration
+
+No app-specific env vars.
+
+## Tests
+
+```
+docker compose -f compose.dev.yml run --rm orchestrator uv run pytest website/ -q
+```
+`website/tests.py` is the empty Django-generated stub — there is nothing to test beyond template
+rendering. `make test` runs the full suite.

From 09116277414ec245cd5af161ea0140bc3a45a53c Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Wed, 19 Aug 2026 12:03:19 -0600
Subject: [PATCH 49/68] docs: refresh backend, runs, realtime_engine,
 schedule_engine, scripts READMEs

---
 backend/README.md                 |  58 +++++++++++++
 backend/realtime_engine/README.md | 133 ++++++++++++++++++++++++++----
 backend/runs/README.md            | 133 +++++++++++++++++++++++++++++-
 backend/schedule_engine/README.md |  54 ++++++++----
 backend/scripts/README.md         |  77 +++++++++++++++++
 5 files changed, 420 insertions(+), 35 deletions(-)
 create mode 100644 backend/scripts/README.md

diff --git a/backend/README.md b/backend/README.md
index 40c2bb3..093fe78 100644
--- a/backend/README.md
+++ b/backend/README.md
@@ -9,3 +9,61 @@ Django apps:
 - `runs`: Run data (_anima machinae_)
 - `website`: Miscellaneous website features (e.g., admin interface, users, etc.)
 - `feed`: GTFS data handling and processing
+
+## Workspace layout (uv)
+
+This project is a `uv` workspace (see `pyproject.toml` `[tool.uv.workspace]`):
+
+- `gtfs-django`, `gtfs-io` — workspace members, editable installs from the
+  local `backend/gtfs-django/` and `backend/gtfs-io/` directories.
+- `gtfs-eta` — **not** a workspace member. It's an editable *path* dependency
+  (`[tool.uv.sources]`) pointing at `backend/gtfs-eta`, which is a symlink
+  (`gtfs-eta -> ../../gtfs-eta`) to the sibling `simovilab/gtfs-eta` repo
+  checked out next to `databus/`. `compose.dev.yml` bind-mounts
+  `../gtfs-eta:/gtfs-eta` read-write so the OS-resolved symlink target exists
+  inside the container too. `gtfs-eta` is excluded from ruff/mypy/pytest here
+  — it's a separately-maintained codebase with its own lint baseline and test
+  suite.
+
+## Celery services
+
+Four services share this codebase (see `Dockerfile` build targets and
+`compose.dev.yml`):
+
+| Service | Build target | Role | Queue |
+|---|---|---|---|
+| `orchestrator` | `dev` | Django HTTP + admin + REST API | — (not a worker) |
+| `realtime-engine` | `realtime-engine` | Celery worker: MQTT ingestion bootstep, lifecycle events, HTTP polling, staleness scan | `realtime_engine` |
+| `schedule-engine` | `schedule-engine` | Celery worker: builds the two GTFS-RT feeds + the daily GTFS Schedule zip | `schedule_engine` |
+| `scheduler` | `scheduler` | Celery Beat (`databus/celery.py` `beat_schedule`) | — |
+
+Queues are assigned per-task via `@shared_task(queue=...)`, not Celery
+`task_routes`; each worker is started with a matching `-Q <queue>` flag.
+
+## Code quality
+
+Root `Makefile` targets:
+
+```bash
+make lint       # cd backend && uv run ruff check .   — runs locally, no Docker needed
+make typecheck  # docker compose -f compose.dev.yml run --rm orchestrator uv run mypy .
+make test       # docker compose -f compose.dev.yml run --rm orchestrator uv run pytest -q
+```
+
+`typecheck` and `test` run inside the dev container because Django settings
+read env vars via `python-decouple`, which fails outside the container.
+`lint` needs no Django settings import, so it runs locally against the
+backend project.
+
+Ruff enforces missing-docstring rules (`D1`, i.e. `D100`-`D107`) in addition
+to its default `E`/`F` rules. Mypy runs with the `django-stubs` plugin
+(`mypy_django_plugin.main`). Both exclude `migrations/`, `gtfs-eta/`, and
+`.venv/`.
+
+## Tests
+
+445 tests (`pytest --collect-only`, `backend/`):
+
+```bash
+docker compose -f compose.dev.yml run --rm orchestrator uv run pytest -q
+```
diff --git a/backend/realtime_engine/README.md b/backend/realtime_engine/README.md
index 63a27d9..b57239d 100644
--- a/backend/realtime_engine/README.md
+++ b/backend/realtime_engine/README.md
@@ -1,7 +1,9 @@
 # realtime_engine
 
-Celery worker that processes lifecycle events and hosts the MQTT telemetry
-consumer as an in-process bootstep.
+Celery worker (queue `realtime_engine`) that ingests vehicle telemetry (MQTT
+push + HTTP poll), runs detection/progression on it, and drives the run
+lifecycle FSM. It is the **sole writer of the real-time Redis state**
+(`vehicle:*`, `run:*`, `runs:*`) — `schedule_engine` only ever reads it.
 
 ## MQTT consumer: Celery bootstep approach
 
@@ -26,29 +28,126 @@ extra container, Dockerfile target, and bind-mount on the backend tree.
 
 ```
 transit/vehicle/+/position    QoS 0
-transit/vehicle/+/progression QoS 0
 transit/vehicle/+/occupancy   QoS 0
 ```
 
-The `data` leaf (static metadata) is not subscribed here — vehicle metadata is
-written to Redis by `RunLifecycleActions.update_system_state` when a run is
-initialized.
+`progression` is intentionally **not** subscribed — it's decommissioned
+server-side (the simulator may still publish it, but the consumer ignores
+any leaf it doesn't recognize). Server-side stop status is computed instead
+by `runs.domain.progression.producer.produce_stop_status` (real GPS→polyline
+map-matching), triggered from `process_position_update` after every position
+write. The `data` leaf (static vehicle metadata) is not subscribed here
+either — it's written to Redis by `RunLifecycleActions.update_system_state`
+when a run is initialized.
 
-## Lifecycle events fired by the consumer
+## Ingestion pipeline (`mqtt.py`)
 
-| Run state     | Trigger condition                                         | Event fired             |
-| ------------- | --------------------------------------------------------- | ----------------------- |
-| `Confirmed`   | Any valid ping received                                   | `run_tracking_started`  |
-| `Tracking`    | `position.speed > 0.5` m/s                                | `run_started`           |
-| `No Signal`   | Any valid ping received                                   | `run_tracking_restored` |
-| `In Progress` | `progression.current_status == STOPPED_AT` with `stop_id` | `run_completed`         |
+For each incoming message on `position` or `occupancy`, `_handle_telemetry`:
 
-## Stale run scanning
+1. Drops the message if the vehicle has no `vehicle:<id>:current_run` key
+   (no active run assigned).
+2. `position`: validates and writes `vehicle:<id>:position`, then enqueues
+   `realtime_engine.tasks.process_position_update` — heavy work (map-matching,
+   ETA projection, detection) runs off the MQTT network thread.
+3. `occupancy`: discards any edge-sent `occupancy_status` and recomputes it
+   server-side from the raw percentage (`occupancy.classify_status`), then
+   writes `vehicle:<id>:occupancy`.
+4. Updates `runs:last_seen:<run_id>` synchronously (never delayed by queue
+   latency) so staleness detection stays accurate even under a slow worker.
+5. For `occupancy` only, runs `detect_from_telemetry` inline (cheap; and
+   `RunTrackingStartedDetector`/`RunTrackingRestoredDetector` match any
+   leaf, so occupancy pings must still be able to drive those transitions).
+   `position`-leaf detection happens asynchronously inside
+   `process_position_update` instead.
 
-`scan_stale_runs` runs every 30 s via Celery Beat:
+### `process_position_update(run_id, vehicle_id)` (queue `realtime_engine`)
 
-- `IN_PROGRESS` + staleness > 60 s → `run_tracking_lost`
-- `NO_SIGNAL` + staleness > 300 s → `run_tracking_expired`
+Re-reads the latest `vehicle:<id>:position` from Redis (idempotent,
+last-write-wins; no retries — a retried tick is stale, the next ping
+recovers). In order:
+
+1. `produce_stop_status` — server-side map-matching, writes
+   `run:<id>:vehicle_stop_status`.
+2. If a stop status was computed, re-feeds it into
+   `detect_from_telemetry(run_id, vehicle_id, "progression", ...)` —
+   this is what fires `RunCompletedDetector` now that raw `progression`
+   telemetry is no longer consumed.
+3. `produce_stop_times` — ETA stop-time-updates projection, writes
+   `run:<id>:stop_time_updates`.
+4. `detect_from_telemetry(run_id, vehicle_id, "position", ...)` — position-leaf
+   detection (`RunStartedDetector`, `RunTrackingStartedDetector`, etc.).
+
+Each step is wrapped independently in `try/except`, logged, and never
+propagated — one failing step doesn't block the others.
+
+## `run_lifecycle_event` task (queue `realtime_engine`)
+
+Dispatches a fired event to `RunLifecycleService.process_event`. A
+`RunLifecycleError` is treated two ways:
+
+- If the run has **already reached the event's target state**
+  (`target_state_for_event`) — a benign idempotent re-fire (a detector's
+  dispatch lost a race against an in-flight transition for the same run) —
+  logged as a `WARNING`, not an error.
+- Otherwise — a genuine invalid transition — logged with `logger.exception`.
+
+## `fetch_positions` task (queue `realtime_engine`, `soft_time_limit=25`)
+
+Polls active HTTP telemetry sources every **10 s** (Celery Beat,
+`options={"expires": 10}` — a task that couldn't even start within its own
+10 s cycle is revoked rather than queuing up behind a slow source):
+
+1. Builds the in-service vehicle-id set from every `vehicle:<id>:current_run`
+   key — the same gate the MQTT consumer uses, so poller and consumer agree
+   on which vehicles count. (Gating on `runs:in_progress` instead would
+   deadlock a `CONFIRMED` run, since it only reaches `IN_PROGRESS` once
+   telemetry proves it's moving — delivering that telemetry is this task's
+   job.)
+2. Queries `ACTIVE` sensors with `provides_position=True` and
+   `source_type` in `("http", "both")`.
+3. Pre-fetch filters out any sensor whose own `equipment.vehicle` isn't in
+   the in-service set, to avoid paying the HTTP cost of every active sensor
+   on every tick. (Caveat: a fleet endpoint like NavSat can return readings
+   for vehicles other than the sensor's own — those are only caught by the
+   post-fetch filter, so an out-of-service sensor's fleet endpoint is
+   skipped entirely rather than partially used.)
+4. Fetches each remaining sensor independently (own try/except; one failing
+   source can't sink the rest), keeps only in-service vehicles' readings
+   (post-fetch filter), and publishes survivors on
+   `transit/vehicle/<id>/position` via `MqttPublisher`.
+
+`soft_time_limit=25` bounds a single pathological source (e.g. a host that
+hangs on every request): on `SoftTimeLimitExceeded` the task logs and
+returns early instead of propagating.
+
+## `scan_stale_runs` task (queue `realtime_engine`)
+
+Runs every **30 s** via Celery Beat. Computes each tracked run's staleness
+and hands it to `runs.domain.detection.dispatch.detect_from_scan`, which
+evaluates the periodic detectors in `runs.domain.detection.periodic_detectors`
+against the shared thresholds in `runs.domain.detection.thresholds`:
+
+- `IN_PROGRESS` + `60 s < staleness ≤ 600 s` → `run_tracking_lost`
+- `NO_SIGNAL` + `staleness > 600 s` → `run_tracking_expired`
+
+(`TELEMETRY_GRACE_S = 60`, `TELEMETRY_EXPIRY_S = 600` —
+`runs/domain/detection/thresholds.py`. These were previously duplicated and
+disagreeing — 300 s here vs. 600 s in the lifecycle guards — both now import
+the same constants.)
+
+## `sources/` — pluggable HTTP telemetry adapter registry
+
+`sources/base.py` defines the `SourceAdapter` protocol
+(`fetch(sensor) -> list[(vehicle_id, payload)]`) and a tiny
+`register(kind)` / `get_adapter(kind)` registry, kept dependency-free
+(no Django, no requests, no paho) so adapters are unit-testable without I/O.
+`sources/http_json.py` registers the generic `"http"` adapter — driven
+entirely by a `Sensor`'s `source_http_url` + `source_json_mapping` fields, no
+per-provider code needed for JSON-over-HTTP feeds that fit the mapping
+schema. HTTP requests use a **5 s timeout**
+(`DEFAULT_TIMEOUT_S`). `sources/publisher.py`'s `MqttPublisher` republishes
+fetched readings onto the same `transit/vehicle/<id>/position` topic the
+MQTT consumer subscribes to.
 
 ## Environment variables
 
diff --git a/backend/runs/README.md b/backend/runs/README.md
index b3ba48f..a6c2194 100644
--- a/backend/runs/README.md
+++ b/backend/runs/README.md
@@ -1,14 +1,29 @@
 # Run
 
+`runs` owns the run lifecycle FSM, the detectors that drive it from telemetry,
+map-matching/ETA progression, and the Redis telemetry contracts shared with
+`realtime_engine` and `schedule_engine`.
+
 ## Run lifecycle states
 
+`runs/domain/lifecycle/states.py` (`RunLifecycleStates`):
+
+`Requested`, `Validated`, `Initialized`, `Confirmed`, `Tracking`,
+`In Progress`, `No Signal`, `Completed`, `Cancelled`, `Interrupted`,
+`Short Turned`.
+
+## Run lifecycle events
+
+`runs/domain/lifecycle/events.py` (`RunLifecycleEvents`) — REST commands and
+telemetry-detected facts that drive transitions between the states above:
+
 - `RUN_REQUESTED` = a "POST /create-run" API call request happened (an implicit run request)
-- `VALIDATE_RUN` = apply the transition guards to check GTFS consistency
-- `INITIALIZE_RUN` = execute actions to update the system state
+- `VALIDATE_RUN` = apply the transition guards checking GTFS validity (route/trip/shape/schedule_relationship against the current feed) and resource availability (vehicle/trip/operator not already claimed by another run)
+- `INITIALIZE_RUN` = execute actions to update the system state, gated by `is_run_validated` — a real revalidation guard that re-checks resource availability and re-confirms the run's trip against whichever GTFS feed is current *now* (closes the race window against a nightly `build_schedule` feed rotation between VALIDATE_RUN and INITIALIZE_RUN)
 - `RUN_CONFIRMED_BY_OPERATOR` = the operator (driver, dispatcher) re-confirmed the run
 - `RUN_TRACKING_STARTED` = GPS pings are detected and valid
-- `RUN_STARTED` = the run actually started (vehicle is moving along a valid path)
-- `RUN_COMPLETED` = manual or automatic request to complete a successful run (e.g. vehicle reached the end of the route or the run was completed by the operator)
+- `RUN_STARTED` = the run actually started (vehicle is moving along a valid path; guard `is_vehicle_moving` checks reported speed > 0.5 m/s)
+- `RUN_COMPLETED` = manual or automatic request to complete a successful run (e.g. vehicle reached the end of the route or the run was completed by the operator); guard `is_at_terminal_stop` checks the reported `stop_id` against the trip's last `stop_time`
 
 - `RUN_REJECTED` = validation or initialization failed
 - `CANCEL_RUN` = a cancellation request by the operator (driver, administrator, dispatcher) or the system before it started
@@ -17,3 +32,113 @@
 - `RUN_TRACKING_LOST` = the run tracking was lost (automatic, async)
 - `RUN_TRACKING_RESTORED` = the run tracking was restored (automatic, async)
 - `RUN_TRACKING_EXPIRED` = the run tracking expired (e.g. no telemetry for a long time) (automatic, async)
+
+## `domain/lifecycle` — the table-driven FSM
+
+- `states.py` / `events.py` — the enums above.
+- `transitions.py` — the static `TRANSITIONS` table: each entry is a
+  `(from_state, event) -> (to_state, guards, actions)` `Transition`. Also
+  exposes `target_state_for_event`, used by
+  `realtime_engine.tasks.run_lifecycle_event` to tell an idempotent re-fire
+  (a detection that lost a race and the run already reached the target
+  state) apart from a genuine invalid transition.
+- `guards.py` — `RunLifecycleGuards`, pure-ish predicate functions
+  `(run, transition, payload) -> bool` that either return a verdict or raise
+  `RunLifecycleError` with field-level detail. Includes GTFS validity
+  (`is_gtfs_valid`), resource-claim checks (`is_vehicle_available`,
+  `is_trip_available`, `is_operator_available`), the `is_run_validated`
+  revalidation guard, authorization checks for cancel/interrupt/short-turn,
+  and telemetry-freshness guards (`is_telemetry_stale`, `is_telemetry_fresh`,
+  `is_telemetry_grace_period_exceeded`) built on the shared thresholds in
+  `runs.domain.detection.thresholds`.
+- `actions.py` — `RunLifecycleActions`, the Redis side-effects a successful
+  transition performs: writing/clearing the `run:<id>` hash and its
+  `run:<id>:trip` GTFS-RT projection, claiming/releasing
+  `vehicle|operator|trip:<id>:current_run` assignment keys, and maintaining
+  the `runs:tracking` / `runs:in_progress` sets.
+- Submodules are lazy-loaded via `__getattr__` in `__init__.py` so importing
+  `runs.domain.lifecycle` doesn't eagerly pull in the Redis/Django-touching
+  `actions`/`guards` modules.
+
+## `domain/detection` — telemetry/staleness → lifecycle events
+
+Detectors are pure functions of state + one signal; a dispatch layer wires
+them to Redis and the Celery lifecycle task.
+
+- `lifecycle_detectors.py` — evaluated per incoming telemetry message:
+  `RunTrackingStartedDetector` (any telemetry while `Confirmed`),
+  `RunStartedDetector` (`Tracking` + `position.speed > 0.5` m/s),
+  `RunTrackingRestoredDetector` (any telemetry while `No Signal`),
+  `RunCompletedDetector` (`In Progress` + `progression` leaf reporting
+  `STOPPED_AT` with a `stop_id`).
+- `periodic_detectors.py` — evaluated by the periodic staleness scan:
+  `RunTrackingLostDetector` (`In Progress`, `60 s < staleness ≤ 600 s`),
+  `RunTrackingExpiredDetector` (`No Signal`, `staleness > 600 s`). Thresholds
+  come from the single source `thresholds.py`
+  (`TELEMETRY_GRACE_S = 60`, `TELEMETRY_EXPIRY_S = 600`) — previously these
+  lived duplicated in `realtime_engine/tasks.py` (300 s) and
+  `runs/domain/lifecycle/guards.py` (600 s) and disagreed; both now import
+  from here.
+- `registry.py` — ordered `TELEMETRY_DETECTORS` / `PERIODIC_DETECTORS` lists;
+  the planner fires at most one event per FSM per evaluation (first match).
+- `dispatch.py` — pure planners (`plan_telemetry_events`, `plan_scan_events`,
+  unit-testable, no I/O) plus impure wrappers (`detect_from_telemetry`,
+  `detect_from_scan`) that read run state from Redis, seed `runs:tracking`
+  membership for `run_tracking_started`/`run_tracking_restored`, and queue
+  the fired event onto `realtime_engine.tasks.run_lifecycle_event`.
+  `realtime_engine/mqtt.py` and `scan_stale_runs` call only the wrappers.
+
+## `domain/progression` — map-matching + ETA
+
+- `compute.py` / `producer.py` — server-side stop-status: `produce_stop_status`
+  (called from `realtime_engine.tasks.process_position_update` after every
+  position write) reads the latest position + run hash, delegates to
+  `compute_stop_status` for real GPS→polyline map-matching (projects onto the
+  cached shape geometry, picks the upcoming stop, applies `STOPPED_AT` /
+  `INCOMING_AT` / `IN_TRANSIT_TO` radius rules with a monotonic
+  stop-sequence floor), and writes `run:<id>:vehicle_stop_status`. Falls back
+  to `IN_TRANSIT_TO` + carry-forward of the previous state on any exception
+  (missing shape, ORM error, bad payload) — this producer must never raise.
+- `stop_times.py` — `produce_stop_times` derives and writes
+  `run:<id>:stop_time_updates` (TTL 60 s). Calls the ETA estimator through a
+  **lazy import seam** — `gtfs_eta.eta_service.estimator` and
+  `gtfs_eta.feature_engineering.spatial` are imported inside the function,
+  not at module scope, so Django/Celery startup stays clean even when the
+  editable `gtfs-eta` path dependency isn't fully set up. No predictions
+  (e.g. no trained model) leaves the last-good projection to expire via TTL
+  rather than overwriting it.
+- `geo.py` / `shapes.py` — pure geometry helpers (`haversine_m`,
+  `project_point_to_polyline`) and cached GTFS shape-geometry loading.
+
+## `domain/telemetry` — Redis key parsers/writers
+
+`keys.py` is the single source of truth for every Redis key template used
+across `runs`, `realtime_engine`, and `schedule_engine` — no other module
+should hardcode these strings. Each entity module (`position.py`,
+`occupancy.py`, `vehicle_stop_status.py`, `stop_time_updates.py`, `trip.py`,
+`congestion_level.py`) defines the field-name constants, a `from_redis` /
+`validate_for_write` (or `to_redis`) pair, and documents its producer and
+consumer. `congestion_level.py` is a stub — the key is reserved, no producer
+exists yet.
+
+## `services/lifecycle.py` — driving the FSM
+
+`RunLifecycleService.process_event(event, payload)`:
+
+1. Loads the `Run` named by `payload["run_id"]`.
+2. Looks up candidate transitions via `services/registry.py`'s
+   `TransitionRegistry.find(state, event)`.
+3. Runs each candidate's guards; on the first fully-passing candidate,
+   executes its actions, updates `Run.run_lifecycle_state`/`last_event_at`,
+   and publishes the transition as a domain event via `messages.publisher`
+   to the durable `databus.events` topic exchange (routing key
+   `runs.lifecycle.<event>`) — fire-and-forget; broker errors are logged and
+   swallowed, never raised into the lifecycle path.
+4. Persists an immutable `RunLifecycleTransition` audit record (guards +
+   actions results) for every attempt, successful or not.
+5. Raises `RunLifecycleError` (with the full attempt history) if no
+   candidate transition succeeds.
+
+Called from `realtime_engine.tasks.run_lifecycle_event`, which treats a
+`RunLifecycleError` where the run already reached the event's target state
+as a benign idempotent re-fire (logged as a warning), not a failure.
diff --git a/backend/schedule_engine/README.md b/backend/schedule_engine/README.md
index ba7d3d7..6efd198 100644
--- a/backend/schedule_engine/README.md
+++ b/backend/schedule_engine/README.md
@@ -1,14 +1,40 @@
-# MQTT topics and Redis keys
-
-```mermaid
-mindmap
-    root((transit))
-        vehicle
-            vehicle_id
-                data
-                position
-                progression
-                occupancy
-```
-
-MQTT topics are mapped 1:1 into Redis keys.
+# schedule_engine
+
+Celery worker (queue `schedule_engine`) that builds the GTFS-RT feeds and the
+GTFS Schedule zip. It only ever **reads** the real-time Redis state —
+`realtime_engine` is the sole writer.
+
+## Tasks (`tasks.py`)
+
+| Task | Beat schedule | What it does |
+|---|---|---|
+| `build_vehicle_positions` | every 15 s | Reads Redis via `builders.build_vehicle_positions_feed`, writes `feed/files/vehicle_positions.json` + `.pb` (GTFS-RT `FeedMessage`, protobuf). |
+| `build_trip_updates` | every 15 s | Same, via `build_trip_updates_feed` → `feed/files/trip_updates.json` + `.pb`. Also broadcasts a build-status message (`last_update`, count of `runs:in_progress`) to the `status` WebSocket group. |
+| `build_schedule` | daily | Exports the current GTFS `Feed` (`is_current=True`) to a zip via `feed.schedule.exporter.publish_gtfs_zip`; skips (returns `None`, logs a warning) if no current feed exists. |
+| `build_alerts` | **not scheduled** | Placeholder — returns a fixed string. The ServiceAlert feed builder is not yet implemented and this task is deliberately not registered in `databus/celery.py`'s `beat_schedule`. |
+
+Beat schedule is defined in `databus/celery.py` (`app.conf.beat_schedule`),
+not Django admin.
+
+`build_vehicle_positions_feed` / `build_trip_updates_feed`
+(`builders.py`) read the entity hashes `realtime_engine` writes —
+`run:<id>` / `run:<id>:trip` / `run:<id>:vehicle_stop_status` /
+`run:<id>:stop_time_updates`, `vehicle:<id>:position` /
+`vehicle:<id>:occupancy` / `vehicle:<id>:metadata` — over the run IDs in
+`runs:in_progress`. See `runs/domain/telemetry/keys.py` for the canonical
+key templates.
+
+## WebSocket consumer (`consumers.py`, `routing.py`)
+
+`StatusConsumer` (`AsyncWebsocketConsumer`) joins/broadcasts on the `status`
+channel-layer group at `ws/status/`. `build_trip_updates` sends a status
+message to that group after each build; `StatusConsumer.receive` also
+re-broadcasts any client-sent message to the group, and `status_message`
+forwards group events out to each connected socket.
+
+## Notes
+
+- `filters.py` has been removed from this app; there are no remaining
+  references to it.
+- No feed-building code runs inline in the WebSocket path — `consumers.py`
+  only relays status, it never reads Redis or writes feed files itself.
diff --git a/backend/scripts/README.md b/backend/scripts/README.md
new file mode 100644
index 0000000..e808a51
--- /dev/null
+++ b/backend/scripts/README.md
@@ -0,0 +1,77 @@
+# scripts
+
+## `cleanup_runs.py`
+
+Wipes run state from PostgreSQL and/or Redis so you can start fresh without
+restarting any services.
+
+```bash
+docker compose -f compose.dev.yml exec -it orchestrator uv run scripts/cleanup_runs.py [options]
+```
+
+### PostgreSQL tables touched
+
+- `runs_run` — Run records.
+- `runs_runlifecycletransition`, `runs_run_vehicle`, `runs_run_operator` —
+  cascade-deleted with the run (Django's `on_delete=CASCADE` is ORM-level
+  only, so the script deletes these child tables explicitly before
+  `runs_run`).
+- With `--telemetry`: `runs_position`, `runs_progression`, `runs_occupancy`
+  (`runs_progression` is decommissioned — no longer written, but old rows
+  may still exist and are still cleaned up here).
+
+### Redis keys touched
+
+- `runs:tracking`, `runs:in_progress` (set membership).
+- `run:<id>` (flat hash), `run:<id>:trip`, `run:<id>:vehicle_stop_status`,
+  `run:<id>:congestion_level`, `runs:last_seen:<id>`.
+- `vehicle:<id>:position`, `vehicle:<id>:occupancy`, `vehicle:<id>:metadata`.
+- `vehicle|operator|trip:<id>:current_run` assignment keys.
+- `vehicle:<id>:progression` is decommissioned and intentionally not touched.
+
+### Modes (mutually exclusive)
+
+| Flag | Effect |
+|---|---|
+| *(default)* | Delete all runs from DB + purge all run state from Redis. |
+| `--run <id>` | Delete one run by ID (DB + Redis). |
+| `--vehicle <id>` | Delete all runs for a vehicle (DB + Redis); also frees the vehicle's `current_run` key if it has no matching run. |
+| `--db-only` | Only clean PostgreSQL, skip Redis. |
+| `--redis-only` | Only clean Redis, skip PostgreSQL. |
+
+### Options
+
+| Flag | Effect |
+|---|---|
+| `--telemetry` | Also wipe `runs_position` / `runs_progression` / `runs_occupancy` rows. |
+| `--dry-run` | Preview only (counts what *would* be deleted/removed); touches nothing. |
+| `--yes` | Skip the confirmation prompt (only prompted for the bulk default mode, not `--run`/`--vehicle`). |
+| `--db-host`, `--db-port`, `--db-name`, `--db-user`, `--db-pass` | PostgreSQL connection overrides (default from `DB_HOST`/`DB_PORT`/`DB_NAME`/`DB_USER`/`DB_PASSWORD` env vars, else `localhost`). |
+| `--redis-host`, `--redis-port`, `--redis-db` | Redis connection overrides (default from `REDIS_HOST`/`REDIS_PORT`/`REDIS_DB` env vars, else `localhost`). |
+
+### Examples
+
+```bash
+# Preview only
+uv run scripts/cleanup_runs.py --dry-run
+
+# Full reset: wipe all runs from DB + Redis
+uv run scripts/cleanup_runs.py --yes
+
+# Also wipe position/occupancy telemetry rows
+uv run scripts/cleanup_runs.py --yes --telemetry
+
+# Clear one specific run
+uv run scripts/cleanup_runs.py --run <uuid>
+
+# Clear all runs for one vehicle
+uv run scripts/cleanup_runs.py --vehicle <vehicle_id>
+
+# DB only / Redis only
+uv run scripts/cleanup_runs.py --yes --db-only
+uv run scripts/cleanup_runs.py --redis-only
+```
+
+The script auto-loads a `.env` file (walking up from `scripts/` to the
+project root) before resolving connection defaults; shell env vars take
+precedence over `.env` values.

From 6db20285b0426ac2ee34e5fec31ad78ca3c8f7f7 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Thu, 20 Aug 2026 02:06:46 -0600
Subject: [PATCH 50/68] docs(site): update interfaces section against current
 code

---
 docs/content/interfaces/amqp-events.md    | 234 ++++++++++++++++------
 docs/content/interfaces/gtfs-rt-feeds.md  |  20 +-
 docs/content/interfaces/mqtt-telemetry.md |  64 +++++-
 docs/content/interfaces/rest-api.md       | 144 ++++++++++---
 4 files changed, 363 insertions(+), 99 deletions(-)

diff --git a/docs/content/interfaces/amqp-events.md b/docs/content/interfaces/amqp-events.md
index ab22a5d..124e069 100644
--- a/docs/content/interfaces/amqp-events.md
+++ b/docs/content/interfaces/amqp-events.md
@@ -4,19 +4,14 @@ icon: lucide/git-branch
 
 # AMQP Event Semantics
 
-Databús uses RabbitMQ as its internal async message backbone. The design
-defines three message types routed through a single direct exchange, and the
-routing-key namespace for run-lifecycle events.
+Databús uses RabbitMQ as its internal async message backbone for run lifecycle
+domain events. Every completed run lifecycle FSM transition is published as a
+fire-and-forget message on a durable topic exchange, so other services can
+react to run state changes without polling the REST API.
 
-!!! warning "Publisher stub — not yet wired"
-    The AMQP event publisher (`backend/messages/publisher.py`) is currently a
-    **stub**. The `publish_event` function prints to stdout instead of
-    publishing to RabbitMQ. The exchange declaration and producer are
-    instantiated at module import, but no message is actually sent.
-
-    Domain event emission is **designed, not fully wired**. This page
-    documents the intended semantics so integrators can plan against the
-    target API.
+The publisher (`backend/messages/publisher.py`) is fully implemented — it is
+not a stub. It is called from a single seam in the run lifecycle service and
+never blocks or fails the caller's request path.
 
 ---
 
@@ -25,90 +20,199 @@ routing-key namespace for run-lifecycle events.
 | Attribute | Value |
 | --- | --- |
 | Name | `databus.events` |
-| Type | `direct` |
+| Type | `topic` |
+| Durable | Yes |
 | Protocol | AMQP 0-9-1 via Kombu |
-| Broker | RabbitMQ (`message-broker` service) |
+| Broker | RabbitMQ (`message-broker` service), same connection Celery uses as its broker |
+| Connection | `Connection(settings.CELERY_BROKER_URL)`, built lazily on first publish — importing the module never opens a socket |
 
----
+Source: `backend/messages/publisher.py`.
 
-## Message types
+---
 
-From `ARCHITECTURE.md §6`:
+## Routing keys — `runs.lifecycle.*` namespace
 
-| Type | Producer | Meaning |
-| --- | --- | --- |
-| **Command** | Orchestrator (REST API) | An intentional request directed at another service |
-| **Observation** | Realtime-engine | A derived fact detected from telemetry |
-| **Assertion** | Schedule-engine (publisher) | A claim about what was published to GTFS-RT |
+Every publish is keyed `runs.lifecycle.<event>`, where `<event>` is the
+lowercased `.value` of the `RunLifecycleEvents` enum member for the transition
+that just completed (`routing_key_for`, `backend/messages/publisher.py`).
 
-All internal messages share a common envelope and include correlation metadata
-(intended; not yet enforced by the stub).
+| Event (`RunLifecycleEvents`) | Routing key |
+| --- | --- |
+| `run_requested` | *(not published — set at record creation, not via `process_event`)* |
+| `validate_run` | `runs.lifecycle.validate_run` |
+| `initialize_run` | `runs.lifecycle.initialize_run` |
+| `run_rejected` | `runs.lifecycle.run_rejected` |
+| `run_confirmed_by_operator` | `runs.lifecycle.run_confirmed_by_operator` |
+| `cancel_run` | `runs.lifecycle.cancel_run` |
+| `run_tracking_started` | `runs.lifecycle.run_tracking_started` |
+| `run_started` | `runs.lifecycle.run_started` |
+| `run_tracking_lost` | `runs.lifecycle.run_tracking_lost` |
+| `run_interrupted` | `runs.lifecycle.run_interrupted` |
+| `run_short_turned` | `runs.lifecycle.run_short_turned` |
+| `run_completed` | `runs.lifecycle.run_completed` |
+| `run_tracking_restored` | `runs.lifecycle.run_tracking_restored` |
+| `run_tracking_expired` | `runs.lifecycle.run_tracking_expired` |
+
+Every event in `RunLifecycleEvents` that has at least one entry in the FSM
+transition table (`backend/runs/domain/lifecycle/transitions.py`) publishes a
+message the moment its transition succeeds. Consumers should bind:
+
+- `runs.lifecycle.#` — all run lifecycle events, or
+- `runs.lifecycle.run_completed` (etc.) — a single event, or
+- `runs.#` — everything under the `runs` namespace (forward-compatible with
+  any future non-lifecycle `runs.*` routing keys).
+
+Source: `backend/runs/domain/lifecycle/transitions.py`, `backend/messages/publisher.py`.
 
 ---
 
-## Routing keys — `runs.*` namespace
+## Message envelope
+
+`build_envelope` (`backend/messages/publisher.py`) produces this JSON body:
+
+```json
+{
+    "event": "run_confirmed_by_operator",
+    "version": 1,
+    "occurred_at": "2026-08-19T00:00:00+00:00",
+    "producer": "databus",
+    "run_id": "0b2b6b2e-...-uuid",
+    "from_state": "Initialized",
+    "to_state": "Confirmed",
+    "data": {
+        "vehicle_id": "...",
+        "trip_id": "...",
+        "route_id": "..."
+    }
+}
+```
 
-The docstring in `backend/messages/publisher.py` sketches the intended
-routing-key set:
+| Field | Type | Notes |
+| --- | --- | --- |
+| `event` | string | `RunLifecycleEvents.<member>.value` — lowercase snake_case |
+| `version` | int | Envelope schema version, currently `1`. Consumers should branch on this if the shape ever changes |
+| `occurred_at` | string | ISO-8601 UTC timestamp, generated at publish time (`datetime.now(UTC)`) |
+| `producer` | string | Always `"databus"` |
+| `run_id` | string | The run's UUID, stringified |
+| `from_state` | string | `RunLifecycleStates.<member>.value` (e.g. `"Initialized"`) — the state the run transitioned *from* |
+| `to_state` | string | `RunLifecycleStates.<member>.value` (e.g. `"Confirmed"`) — the state the run transitioned *to* |
+| `data` | object | Best-effort extras. The lifecycle service populates whichever of `vehicle_id`, `trip_id`, `route_id` are available on the `Run` at publish time; any missing field is simply omitted, never sent as `null` |
 
-| Routing key | Meaning |
-| --- | --- |
-| `runs.submission.requested` | A run creation was requested |
-| `runs.submission.succeeded` | Run creation and initialization succeeded |
-| `runs.submission.failed` | Run creation or initialization failed |
-| `runs.validation.succeeded` | GTFS consistency check passed |
-| `runs.validation.failed` | GTFS consistency check failed |
-| `runs.initialization.succeeded` | Redis state written successfully |
-| `runs.initialization.failed` | Redis state write failed |
+Note `from_state`/`to_state` carry the FSM's display-style state values
+(`"Initialized"`, `"Confirmed"`, `"In Progress"`, …) as defined in
+`RunLifecycleStates`, not the upper-snake enum member names.
 
-Client bindings should use `runs.*` to receive all run-lifecycle events.
+Source: `backend/messages/publisher.py`, `backend/runs/services/lifecycle.py`.
 
 ---
 
-## Current stub implementation
-
-```python
-# backend/messages/publisher.py
+## Where events are emitted from
+
+Every event is published from a single seam:
+`RunLifecycleService._publish_run_lifecycle_transition` in
+`backend/runs/services/lifecycle.py`, called by `_apply_transition`
+immediately after the transition's actions run and the new
+`run_lifecycle_state` is persisted to Postgres — but the publish itself is a
+fire-and-forget side effect that does not block the request/task path.
+
+```mermaid
+sequenceDiagram
+    participant Caller as REST view / Celery task
+    participant Service as RunLifecycleService
+    participant DB as PostgreSQL (Run)
+    participant Publisher as messages.publisher
+    participant RMQ as RabbitMQ (databus.events)
+
+    Caller->>Service: process_event(event, payload)
+    Service->>Service: check guards, run actions
+    Service->>DB: run.run_lifecycle_state = to_state; run.save()
+    Service->>Publisher: publish_event(event, run_id, from_state, to_state, data)
+    Publisher-->>RMQ: producer.publish(envelope, routing_key="runs.lifecycle.<event>")
+    Note over Publisher,RMQ: On any broker error: logged and dropped.<br/>Never raised back to Service or Caller.
+    Service-->>Caller: (to_state, guards, actions)
+```
 
-from kombu import Connection, Exchange, Producer
+This means every REST-triggered transition (`POST /api/runs/<id>/update/`,
+`POST /api/create-run/`) and every telemetry-triggered transition (fired from
+`realtime_engine.tasks.run_lifecycle_event`, driven by the detection layer)
+produces the same event shape on the same exchange — there is no separate
+"internal" vs "external" event path.
 
-connection = Connection("amqp://guest:guest@localhost/")
-exchange = Exchange("databus.events", type="direct")
-producer = Producer(connection, exchange=exchange)
+---
 
+## Error policy: fire-and-forget, log-and-drop
+
+Publishing a domain event is a deliberate best-effort side effect, not a
+guaranteed delivery:
+
+- `publish_event` wraps the entire publish in a `try`/`except Exception`. Any
+  connection error, channel error, or broker rejection is caught, logged with
+  `logger.warning(..., exc_info=True)`, and **swallowed** — it never
+  propagates back into the FSM transition path.
+- A small bounded retry is attempted first (`max_retries=2`,
+  `interval_start=0`, `interval_step=0.2`, `interval_max=0.5`, passed to
+  kombu's `Producer.publish(retry=True, retry_policy=...)`), but there are no
+  publisher confirms and no outbox/at-least-once guarantee beyond that.
+- This is intentional: **telemetry and lifecycle processing must never block
+  or fail because RabbitMQ is unavailable.** A run's FSM transition, its
+  Postgres persistence, and its audit-log entry (`RunLifecycleTransition`, via
+  `GET /api/runs/<id>/history/`) all complete regardless of whether the AMQP
+  publish succeeds.
+- Consequence for integrators: a consumer that needs strict at-least-once
+  semantics should treat these AMQP messages as a best-effort notification
+  stream and reconcile against `GET /api/runs/<id>/history/` — the
+  authoritative, durable audit log — rather than relying on AMQP delivery
+  alone.
+
+Source: `backend/messages/publisher.py`, `backend/messages/README.md`.
 
-def publish_event(name: str, data: dict):
-    """Publish an event to the databus.events exchange."""
-    print(f"Printing event {name} with data: {data}")
-```
+---
 
-The `connection`, `exchange`, and `producer` objects are instantiated but
-`publish_event` only prints. No `producer.publish()` call exists yet.
+## Which transitions produce events
+
+Any transition executed through `RunLifecycleService.process_event` that
+passes its guards publishes an event — this covers essentially the whole FSM:
+registration (`validate_run`, `initialize_run`), rejection/cancellation
+(`run_rejected`, `cancel_run`), operator confirmation
+(`run_confirmed_by_operator`), tracking and progress
+(`run_tracking_started`, `run_started`), deviations
+(`run_tracking_lost`, `run_interrupted`, `run_short_turned`), completion
+(`run_completed`), and recovery/expiry (`run_tracking_restored`,
+`run_tracking_expired`). The one exception is `run_requested`: a run enters
+`Requested` state at record creation (`Run.objects.create(...)` in
+`CreateRunViewSet`), not through `process_event`, so no lifecycle event is
+published for it.
+
+See the full transition table in
+`backend/runs/domain/lifecycle/transitions.py` and the REST-facing surface in
+[REST API › Run lifecycle endpoints](rest-api.md#run-lifecycle-endpoints).
 
 ---
 
-## What this means for integrators
+## Integration guidance
 
 - RabbitMQ (`message-broker`) is running and healthy in both dev and prod
   compose stacks.
-- The exchange `databus.events` will need to be declared and bound before any
-  consumer can receive messages.
-- Do not build production integrations against AMQP events until the publisher
-  is wired. Check the git log or CHANGELOG for the commit that replaces the
-  `print(...)` stub with a real `producer.publish(...)` call.
-- The REST API (`POST /api/runs/<id>/update/`) and the run lifecycle audit log
-  (`GET /api/runs/<id>/history/`) are the stable integration points today.
+- The publisher declares the `databus.events` exchange on every publish
+  (`declare=[events_exchange]`), so a consumer does not strictly need to
+  declare it first — but should still declare it (idempotent) plus its own
+  durable queue, to avoid depending on publish timing.
+- Bind your queue with `runs.lifecycle.#` (all run lifecycle events) or a
+  narrower pattern for the specific events you care about.
+- Deserialize the body as JSON and branch on `version` for forward
+  compatibility.
+- Treat delivery as best-effort (see error policy above); use
+  `GET /api/runs/<id>/history/` to reconcile or backfill missed events.
 
 ---
 
 ## Communication boundaries
 
-From `ARCHITECTURE.md §7`:
-
-- **Internal messaging** (AMQP): services within the compose network.
-  Spec: AsyncAPI (domain). Currently stub.
+- **Internal messaging** (AMQP): services within the compose network,
+  currently limited to run lifecycle domain events described on this page.
 - **External telemetry** (MQTT): vehicles and devices.
   Spec: `backend/api/realtime.yml`. See [MQTT telemetry](mqtt-telemetry.md).
 
-External telemetry is treated as untrusted signal and must be validated before
-entering the domain messaging layer.
+External telemetry is treated as untrusted signal and must be validated
+before entering the domain messaging layer (see
+[MQTT telemetry › Untrusted edge signal stance](mqtt-telemetry.md#untrusted-edge-signal-stance)).
diff --git a/docs/content/interfaces/gtfs-rt-feeds.md b/docs/content/interfaces/gtfs-rt-feeds.md
index de437db..fb2a23f 100644
--- a/docs/content/interfaces/gtfs-rt-feeds.md
+++ b/docs/content/interfaces/gtfs-rt-feeds.md
@@ -23,11 +23,13 @@ served statically in production).
 | `trip_updates.pb` | Protocol Buffer (binary) | `TripUpdate` | 15 s |
 | `trip_updates.json` | JSON (debug) | `TripUpdate` | 15 s |
 
-!!! warning "ServiceAlert feed: stub"
-    `build_alerts` runs every 10 s but returns the string
-    `"Feed ServiceAlert built"` without producing a file. No
-    `service_alerts.pb` is written. ServiceAlert emission is planned for a
-    future release.
+!!! warning "ServiceAlert feed: stub, not scheduled"
+    `schedule_engine.tasks.build_alerts` exists but only returns the string
+    `"Feed ServiceAlert built"` — it never produces a file, so no
+    `service_alerts.pb`/`.json` is written. It is also **not registered in
+    the Celery Beat schedule** (`backend/databus/celery.py`) — it never runs
+    automatically at all, deliberately, per its own docstring. ServiceAlert
+    emission is planned for a future release.
 
 ---
 
@@ -50,10 +52,12 @@ Assembled by `schedule_engine.tasks.build_vehicle_positions` →
 | `vehicle.vehicle.id` | `vehicle:<id>:metadata` → `id` | |
 | `vehicle.vehicle.label` | `vehicle:<id>:metadata` → `label` | |
 | `vehicle.vehicle.license_plate` | `vehicle:<id>:metadata` → `license_plate` | Omitted if absent |
+| `vehicle.vehicle.wheelchair_accessible` | `vehicle:<id>:metadata` → `wheelchair_accessible` | Omitted if absent |
 | `vehicle.position.latitude` | `vehicle:<id>:position` → `latitude` | |
 | `vehicle.position.longitude` | `vehicle:<id>:position` → `longitude` | |
 | `vehicle.position.bearing` | `vehicle:<id>:position` → `bearing` | Omitted if absent |
 | `vehicle.position.speed` | `vehicle:<id>:position` → `speed` | Omitted if absent |
+| `vehicle.position.odometer` | `vehicle:<id>:position` → `odometer` | Omitted if absent |
 | `vehicle.timestamp` | `vehicle:<id>:position` → `timestamp` | Lifted from position hash; falls back to `now()` |
 | `vehicle.current_stop_sequence` | `run:<id>:vehicle_stop_status` | Omitted if absent |
 | `vehicle.stop_id` | `run:<id>:vehicle_stop_status` | Omitted if absent |
@@ -167,6 +171,10 @@ the protobuf files for that).
 
 - `backend/schedule_engine/tasks.py` — Celery tasks
 - `backend/schedule_engine/builders.py` — pure assembly functions
-- `backend/databus/celery.py` — beat schedule (15 s / 15 s / 10 s cadence)
+- `backend/databus/celery.py` — beat schedule: `build_vehicle_positions` and
+  `build_trip_updates` every 15 s, `build_schedule` (GTFS Schedule zip) daily.
+  The other beat entries (`fetch_positions` every 10 s, `scan_stale_runs`
+  every 30 s) belong to `realtime_engine`, not the feed-building pipeline —
+  see [MQTT telemetry › HTTP polling ingestion path](mqtt-telemetry.md#http-polling-ingestion-path)
 - `backend/runs/domain/telemetry/` — contract modules used by builders
 - `backend/feed/files/` — output directory (mounted as a volume in production)
diff --git a/docs/content/interfaces/mqtt-telemetry.md b/docs/content/interfaces/mqtt-telemetry.md
index e1b5e77..6e544c2 100644
--- a/docs/content/interfaces/mqtt-telemetry.md
+++ b/docs/content/interfaces/mqtt-telemetry.md
@@ -11,6 +11,15 @@ Vehicles (or simulators) publish telemetry to the NanoMQ broker. The
 Broker: **NanoMQ** at `telemetry-broker:1883` (internal) / `mqtt.<domain>:8883`
 (TLS, production).
 
+!!! note "Two producers, one topic contract"
+    Position data reaches the `transit/vehicle/<id>/position` topic through
+    two paths: devices/simulators that speak MQTT publish there directly, and
+    devices that only expose an HTTP+JSON endpoint are polled every 10 s by
+    the `fetch_positions` Celery task, which republishes what it fetches onto
+    the same topic. Both paths converge on the single MQTT contract described
+    below — see [HTTP polling ingestion path](#http-polling-ingestion-path)
+    for how the second path works.
+
 ---
 
 ## Topic grammar
@@ -116,10 +125,61 @@ Reports passenger load.
 2. `classify_status(occupancy_percentage)` computes the server-policy enum value.
 3. `validate_for_write(occ_payload)` validates the combined payload.
 4. `r.hset(vehicle:<id>:occupancy, mapping=...)` writes the hash.
-5. `detect_from_telemetry(run_id, vehicle_id, "occupancy", data)` is called
+5. `r.set(runs:last_seen:<run_id>, now().isoformat())` is written synchronously.
+6. `detect_from_telemetry(run_id, vehicle_id, "occupancy", data)` is called
    inline (not via the Celery queue) — occupancy detection is cheap and must
    fire lifecycle events immediately for tracking-start and restore detectors.
-6. `r.set(runs:last_seen:<run_id>, now().isoformat())` is written synchronously.
+
+---
+
+## HTTP polling ingestion path
+
+Not every telemetry device exposes an MQTT publisher — some fleet-tracking
+providers (e.g. NavSat-style endpoints) only expose an HTTP+JSON polling
+endpoint. For those, `realtime_engine.tasks.fetch_positions`
+(`backend/realtime_engine/tasks.py`) is a Celery Beat task, scheduled every
+**10 seconds** (`fetch-positions` in `backend/databus/celery.py`, with
+`expires=10` so a poll that couldn't even start within its own cycle is
+revoked rather than queuing up behind a slow source), that:
+
+1. Builds the in-service vehicle-id set from every `vehicle:<id>:current_run`
+   key present in Redis — the same gate the MQTT consumer itself uses.
+2. Queries `operations.Sensor` rows that are `status="ACTIVE"`,
+   `provides_position=True`, and `source_type` in `["http", "both"]`.
+3. Skips any sensor whose own `equipment.vehicle` is not in the in-service
+   set (avoids paying the HTTP cost for out-of-service vehicles), then
+   fetches the remaining sensors via the registered `"http"` adapter
+   (`backend/realtime_engine/sources/http_json.py`), each call independently
+   try/excepted so one failing source can't sink the poll.
+4. Filters the fetched readings down to in-service vehicles again (a fleet
+   endpoint can return many vehicles from a single sensor's URL, not just the
+   one tied to that sensor's own equipment).
+5. Publishes the survivors via `MqttPublisher.publish_batch`
+   (`backend/realtime_engine/sources/publisher.py`) onto
+   `transit/vehicle/<vehicle_id>/position`, QoS 0, not retained — **the exact
+   same topic and payload shape** the MQTT consumer already subscribes to.
+
+The task carries a `soft_time_limit=25` so one pathological source (a host
+that hangs on every request) can't hold a worker slot indefinitely; on
+`SoftTimeLimitExceeded` it logs the in-flight sensor and returns early
+without publishing.
+
+**HTTP+JSON adapter mapping:** a `Sensor` with `source_type="http"` (or
+`"both"`) configures `source_http_url` and `source_json_mapping` — a small
+schema of JSON-path mappings (`paths.lat`, `paths.lon`, optionally
+`paths.speed`, `paths.odometer`, `paths.bearing`, `paths.timestamp`,
+`paths.vehicle_id`) plus unit hints (`units.speed: "kmh"`,
+`units.odometer: "km"`, converted to SI) and a timestamp format/timezone.
+Only `lat`/`lon` are effectively required — a record that can't yield both is
+skipped. If the mapping doesn't resolve a `vehicle_id`, the adapter falls
+back to the sensor's own `equipment.vehicle`.
+
+This path only ever produces `position` leaf messages — there is no HTTP
+polling equivalent for `occupancy`.
+
+Source: `backend/realtime_engine/tasks.py::fetch_positions`,
+`backend/realtime_engine/sources/http_json.py`,
+`backend/realtime_engine/sources/publisher.py`, `backend/databus/celery.py`.
 
 ---
 
diff --git a/docs/content/interfaces/rest-api.md b/docs/content/interfaces/rest-api.md
index ef4350b..4a1ef2d 100644
--- a/docs/content/interfaces/rest-api.md
+++ b/docs/content/interfaces/rest-api.md
@@ -12,8 +12,11 @@ layer for GTFS Schedule data.
 **OpenAPI / ReDoc:** `GET /api/docs/` — interactive documentation generated by
 `drf-spectacular`.
 
-**Schema download:** `GET /api/docs/schema/` — returns the AsyncAPI YAML for
-the realtime interface (`backend/api/realtime.yml`).
+**Schema download:** `GET /api/docs/schema/` — returns the OpenAPI 3.0 YAML
+that documents the realtime/telemetry submission interface
+(`backend/api/realtime.yml`). This is the same file `/api/docs/` renders as
+ReDoc — `get_schema` serves it as a static file rather than a dynamically
+generated `drf-spectacular` schema.
 
 **Authentication:** Token authentication (`TokenAuthentication`) via the
 `Authorization: Token <key>` header. Obtain a token with `POST /api/login/`.
@@ -61,20 +64,25 @@ Request creation of a new run. This is a synchronous multi-step call:
 4. Applies `VALIDATE_RUN` (GTFS consistency check) → state `VALIDATED`.
 5. Applies `INITIALIZE_RUN` (writes Redis state, vehicle metadata) → state `INITIALIZED`.
 
-**Request body fields:**
+**Request body fields** (validated by `CreateRunSerializer`,
+`backend/api/serializers.py`):
 
 | Field | Type | Required | Notes |
 | --- | --- | --- | --- |
 | `route_id` | string | Yes | GTFS route_id |
 | `trip_id` | string | Yes | GTFS trip_id |
 | `shape_id` | string | Yes | GTFS shape_id |
-| `direction_id` | int | No | GTFS direction_id |
-| `start_date` | date | Yes | Service date (YYYY-MM-DD) |
-| `start_time` | duration | No | Scheduled start time |
-| `schedule_relationship` | string | No | SCHEDULED / ADDED / UNSCHEDULED / etc. |
+| `direction_id` | int | Yes | GTFS direction_id, `>= 0` |
+| `schedule_relationship` | string | Yes | One of `SCHEDULED`, `ADDED`, `UNSCHEDULED`, `CANCELED`, `DUPLICATED`, `DELETED` |
 | `vehicle_id` | string | Yes | Must exist in `operations.Vehicle` |
 | `operator_id` | string | Yes | Must exist in `operations.Operator` |
 
+!!! note
+    `Run` has `start_date` and `start_time` model fields
+    (`backend/runs/models.py`), but `CreateRunSerializer` does not currently
+    accept either as input — they cannot be set through this endpoint and are
+    left `null` on the created `Run`.
+
 **Response 200 (success):**
 ```json
 {
@@ -132,22 +140,37 @@ used by the operator UI and the simulator to send operator commands.
 | `event` | string | Yes | One of the allowed event values (see below) |
 | `details` | object | No | Additional payload merged into the event context |
 
-**Allowed event values** (from `RunLifecycleEvents`):
+**Allowed event values:** `RunUpdateSerializer.event` is a `ChoiceField` over
+every member of `RunLifecycleEvents`
+(`backend/runs/domain/lifecycle/events.py`), so any of the values below pass
+serializer validation. Whether the request actually succeeds still depends on
+the run's current lifecycle state matching a transition for that event in
+`backend/runs/domain/lifecycle/transitions.py` — an event with no matching
+`(from_state, event)` transition, or one whose guards fail, returns a 422.
 
-| Event string | Meaning |
-| --- | --- |
-| `run_confirmed_by_operator` | Operator confirms they are ready (`RUN_CONFIRMED`) |
-| `run_completed` | Manual completion — run ended successfully (`RUN_COMPLETED`) |
-| `run_interrupted` | Manual interrupt — run ended unexpectedly (`RUN_INTERRUPTED`) |
-| `run_short_turned` | Manual short-turn — vehicle turned around early (`RUN_SHORT_TURNED`) |
-| `cancel_run` | Cancel before the run started |
-| `run_tracking_started` | (Usually detected, but can be sent manually) |
-| `run_started` | (Usually detected, but can be sent manually) |
+| Event string | Meaning | Typical caller |
+| --- | --- | --- |
+| `validate_run` | GTFS consistency check | Internal (`create-run` flow) |
+| `initialize_run` | Writes Redis state | Internal (`create-run` flow) |
+| `run_rejected` | Reject/cancel during registration | Internal (`create-run` flow on validation failure) |
+| `run_confirmed_by_operator` | Operator confirms they are ready | Operator UI |
+| `cancel_run` | Cancel after confirmation, before/while tracking | Operator UI |
+| `run_tracking_started` | Vehicle telemetry confirms tracking | Usually detected; can be sent manually |
+| `run_started` | Vehicle confirmed moving | Usually detected; can be sent manually |
+| `run_tracking_lost` | Telemetry has gone stale | Usually detected (`scan_stale_runs`); can be sent manually |
+| `run_interrupted` | Manual interrupt — run ended unexpectedly | Operator UI |
+| `run_short_turned` | Manual short-turn — vehicle turned around early | Operator UI |
+| `run_completed` | Run ended successfully (manual or automatic) | Operator UI or detection layer |
+| `run_tracking_restored` | Telemetry resumed after `run_tracking_lost` | Usually detected; can be sent manually |
+| `run_tracking_expired` | Grace period after `run_tracking_lost` exceeded | Usually detected (`scan_stale_runs`) |
+
+`run_requested` is also a valid enum value but has no entry in the transition
+table, so sending it here always returns 422 — a run only reaches `Requested`
+via `POST /api/create-run/`'s record creation, not via `process_event`.
 
 !!! note
-    `run_completed` is the event string for both manual and automatic completion.
-    Commit `54e23f3` renamed `complete_run` → `run_completed` to make clear it is
-    a **fact** (something that happened), not a command. The REST endpoint
+    `run_completed` is the event string for both manual and automatic completion —
+    it is a **fact** (something that happened), not a command. The REST endpoint
     accepts it as a command in the operator-triggered path; the detection layer
     fires it automatically in the telemetry-driven path.
 
@@ -169,7 +192,16 @@ used by the operator UI and the simulator to send operator commands.
 
 ### `GET /api/runs/<uuid:run_id>/history/`
 
-Return the ordered FSM transition audit log for a run.
+Return the ordered FSM transition audit log for a run — every `(event,
+from_state, to_state)` attempt processed through
+`RunLifecycleService.process_event`, whether or not its guards passed.
+
+!!! note
+    The run's initial `Requested` state is set by `Run.objects.create(...)`
+    (a model field default), not by dispatching a `run_requested` event
+    through `process_event` — so `run_requested` never appears as a
+    transition here. The first entry for a run created via
+    `POST /api/create-run/` is its `validate_run` attempt.
 
 **Response 200:**
 ```json
@@ -177,12 +209,17 @@ Return the ordered FSM transition audit log for a run.
     "run_id": "uuid",
     "transitions": [
         {
-            "event": "run_requested",
-            "from_state": null,
-            "to_state": "Requested",
+            "event": "validate_run",
+            "from_state": "Requested",
+            "to_state": "Validated",
             "timestamp": "2026-06-19T12:00:00+00:00",
             "actions": {},
-            "guards": {}
+            "guards": {
+                "is_gtfs_valid": true,
+                "is_trip_available": true,
+                "is_vehicle_available": true,
+                "is_operator_available": true
+            }
         }
     ]
 }
@@ -197,7 +234,7 @@ unless noted.
 
 | Endpoint prefix | Model | Notes |
 | --- | --- | --- |
-| `/api/company/` | `Company` | Token auth currently commented out |
+| `/api/company/` | `Company` | Token auth currently commented out. `CompanySerializer` is a `HyperlinkedModelSerializer` with `fields = "__all__"` — the response is keyed by `url` (not a bare `id`), and `linked_agency` (the M2M to `Agency`) serializes as a list of hyperlinks |
 | `/api/operator/` | `Operator` | |
 | `/api/vehicle/` | `Vehicle` | Filterable by `company` |
 | `/api/data-provider/` | `DataProvider` | |
@@ -249,6 +286,61 @@ Read-only schedule data. Token authentication is currently not enforced.
 | `GET /api/which-shapes/` | `?route_id=` | Returns GeoShapes for a route |
 | `GET /api/find-trips/` | `?route_id=&service_id=&shape_id=` | Returns trips with start times and run lifecycle states |
 
+`which-shapes` and `find-trips` back the run-registration UI cascade (pick a
+route → its shapes → a candidate trip). Commit `5489fe4` repaired both: the
+views previously queried FK/field names that didn't exist on the models
+(`RouteStop.route`/`.shape` instead of `linked_route`/`linked_shape`;
+`TripTime.trip_time` instead of `departure_time`), so neither endpoint had
+ever worked.
+
+### `GET /api/which-shapes/?route_id=`
+
+`WhichShapesView` looks up the current `Feed`'s `Route` for `route_id`, then
+the distinct `GeoShape`s reachable from it via `RouteStop.linked_route` →
+`RouteStop.linked_shape`. Returns `[]` if the route or current feed can't be
+resolved.
+
+**Response 200** (`WhichShapesSerializer`, one object per distinct shape):
+```json
+[
+    {
+        "shape_id": "string",
+        "shape_name": "string | null",
+        "shape_desc": "string | null",
+        "shape_from": "string | null",
+        "shape_to": "string | null"
+    }
+]
+```
+
+### `GET /api/find-trips/?route_id=&service_id=&shape_id=`
+
+`FindTripsView` filters `Trip` by `route_id`/`service_id`/`shape_id` within
+the current feed, resolves each trip's earliest `TripTime` via the
+`TripTime.linked_trip` FK (not a bare `trip_id` string match, which could
+cross-match a same-numbered trip from a different feed), and tags each result
+with the matching `Run`'s current lifecycle state for today's `start_date` —
+or `"UNKNOWN"` if no such run exists. All three query parameters are
+required; missing any returns 400.
+
+**Response 200** (`FindTripsSerializer`, one object per trip):
+```json
+[
+    {
+        "trip_id": "string",
+        "trip_time": "HH:MM:SS",
+        "run_lifecycle_state": "Requested | Validated | ... | UNKNOWN",
+        "direction_id": 0,
+        "trip_headsign": "string"
+    }
+]
+```
+
+**Response 400** (missing parameter):
+```json
+{"error": "Todos los parámetros route_id, service_id, shape_id son requeridos"}
+```
+
 ---
 
 ## URL structure

From 5796aaa9049a82ff7ff328f0e4e4ffe0666f0557 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Thu, 20 Aug 2026 02:11:05 -0600
Subject: [PATCH 51/68] docs(site): update runs section against current code

---
 docs/content/runs/detection.md        |  5 ++-
 docs/content/runs/index.md            |  8 ++--
 docs/content/runs/lifecycle-states.md | 18 ++++-----
 docs/content/runs/progress-fsm.md     | 57 +++++++++++----------------
 docs/content/runs/stale-runs.md       |  3 --
 5 files changed, 39 insertions(+), 52 deletions(-)

diff --git a/docs/content/runs/detection.md b/docs/content/runs/detection.md
index e78d65c..048b1a6 100644
--- a/docs/content/runs/detection.md
+++ b/docs/content/runs/detection.md
@@ -123,7 +123,8 @@ TELEMETRY_EXPIRY_S = 600  # NO_SIGNAL + silent > 600 s   → CANCELLED
 ```python
 _TRACKING_SEED_EVENTS = {"run_tracking_started", "run_tracking_restored"}
 
-def _fire(result: DetectionResult, base_payload: dict) -> None:
+def _fire(result: DetectionResult, base_payload: dict[str, Any]) -> None:
+    payload = {**base_payload, **result.extra_payload}
     if result.event in _TRACKING_SEED_EVENTS:
         r.sadd("runs:tracking", base_payload["run_id"])
     run_lifecycle_event.delay(result.event, payload)
@@ -143,7 +144,7 @@ class DetectionResult:
 
 ## Lifecycle event trigger table
 
-From `backend/realtime_engine/README.md`:
+Consistent with `backend/realtime_engine/README.md` and the detector conditions in `lifecycle_detectors.py` / `periodic_detectors.py` above:
 
 | Run state | Trigger condition | Event fired |
 |---|---|---|
diff --git a/docs/content/runs/index.md b/docs/content/runs/index.md
index 7890385..27b6152 100644
--- a/docs/content/runs/index.md
+++ b/docs/content/runs/index.md
@@ -6,11 +6,11 @@ icon: lucide/route
 
 A **run** is the unit of operational work in Databús: a vehicle assigned to a trip, tracked from the first GPS ping to the last stop. The run lifecycle governs how that work progresses through states and how the system reacts to events.
 
-The lifecycle is implemented as two cooperating finite state machines:
+The lifecycle is implemented as one finite state machine, plus a per-tick computation that plays a related but separate role:
 
-1. **Lifecycle FSM** — tracks the operational phase of the run (`Requested` → `Confirmed` → `Tracking` → `In Progress` → `Completed`, plus deviation paths). Driven by commands from operators and by detected facts from telemetry.
+1. **Lifecycle FSM** — tracks the operational phase of the run (`Requested` → `Confirmed` → `Tracking` → `In Progress` → `Completed`, plus deviation paths). Driven by commands from operators and by detected facts from telemetry. Implemented in `backend/runs/domain/lifecycle/`.
 
-2. **Progress FSM** — tracks the vehicle's motion state within a run. A parallel FSM in `backend/runs/domain/progress/`.
+2. **Progress FSM (motion)** — a second, separate state machine for vehicle motion (`IS_MOVING` / `IS_STOPPED` / `IS_PAUSED`) described in `MODEL.md`. This is design intent only: no such FSM exists in the code. A structural scaffold once lived at `backend/runs/domain/progress/`, but it was dead code (never wired to a live call path) and was deleted in commit `a3cbb0a`. The active stand-in is a stateless per-tick computation in `backend/runs/domain/progression/compute.py` that classifies the vehicle's relationship to its next stop (`STOPPED_AT` / `INCOMING_AT` / `IN_TRANSIT_TO`) on every position update — see [progress-fsm.md](progress-fsm.md).
 
 The detection layer sits between the MQTT telemetry stream and the lifecycle FSM. It converts raw position and occupancy signals into lifecycle events without any I/O of its own.
 
@@ -28,5 +28,5 @@ flowchart LR
 | [States & transitions](lifecycle-states.md) | All 11 states, the full transition table, guards, and actions |
 | [Commands vs detected facts](commands-vs-detections.md) | Which events are operator-driven vs telemetry-driven; the `run_completed` rename |
 | [Detection layer](detection.md) | Pure planners, detector registry, impure wrappers |
-| [Progress FSM (motion)](progress-fsm.md) | The separate motion-state machine (IS_MOVING / IS_STOPPED / IS_PAUSED) |
+| [Progress FSM (motion)](progress-fsm.md) | Design intent for a motion-state machine (IS_MOVING / IS_STOPPED / IS_PAUSED); the active per-tick stop-status computation that stands in for it today |
 | [Stale-run scanning](stale-runs.md) | `scan_stale_runs` periodic task, grace/expiry thresholds |
diff --git a/docs/content/runs/lifecycle-states.md b/docs/content/runs/lifecycle-states.md
index 7c2da4a..b7d8c0d 100644
--- a/docs/content/runs/lifecycle-states.md
+++ b/docs/content/runs/lifecycle-states.md
@@ -6,8 +6,8 @@ icon: lucide/git-branch
 
 The run lifecycle FSM is defined in `backend/runs/domain/lifecycle/`. Every run moves through exactly one state at a time; every state change requires a matching event, a passing set of guards, and the execution of a set of actions.
 
-!!! warning "State name correction"
-    The existing placeholder diagram in `docs/content/processes/run-lifecycle.md` uses `CANCELED`. The code uses `"Cancelled"` (British spelling, mixed case). Always use the value from `RunLifecycleStates` — never the enum member name.
+!!! note "Spelling: use the enum value, not the member name"
+    The code spells the cancelled state `"Cancelled"` (British spelling, mixed case) as the `RunLifecycleStates.CANCELLED` value — not `CANCELED`. Always use the value from `RunLifecycleStates`, never the enum member name, when comparing against Redis or API responses.
 
 ## State set
 
@@ -96,10 +96,10 @@ Defined in `backend/runs/domain/lifecycle/guards.py`.
 **Registration guards:**
 
 - `is_gtfs_valid` — checks that `route_id`, `trip_id`, `direction_id`, `shape_id`, and `schedule_relationship` are present and consistent with the current GTFS feed in PostgreSQL.
-- `is_trip_available` — checks Redis `trip:<trip_id>:current_run` is not already assigned to another run.
-- `is_vehicle_available` — checks Redis `vehicle:<vehicle_id>:current_run` is not assigned elsewhere.
-- `is_operator_available` — checks Redis `operator:<operator_id>:current_run` is not assigned elsewhere.
-- `is_run_validated` — always returns `True`; placeholder for future validation checks.
+- `is_trip_available` — checks Redis `trip:<trip_id>:current_run` is not claimed by a *different* run, raising `RunLifecycleError` if it is. `trip_id` comes from the payload, falling back to the run record's `trip_id` when the payload omits it; if neither is set the guard passes trivially.
+- `is_vehicle_available` — checks Redis `vehicle:<vehicle_id>:current_run` is not claimed by a *different* run, raising `RunLifecycleError` if it is. `vehicle_id` comes from the payload, falling back to the run's assigned vehicle when the payload omits it; if neither is set the guard passes trivially.
+- `is_operator_available` — checks Redis `operator:<operator_id>:current_run` is not claimed by a *different* run, raising `RunLifecycleError` if it is. `operator_id` comes from the payload, falling back to the run's assigned operator when the payload omits it; if neither is set the guard passes trivially.
+- `is_run_validated` — revalidates before `INITIALIZE_RUN`, closing the race window between `VALIDATE_RUN` and `INITIALIZE_RUN` (commit `2770788`): re-runs `is_vehicle_available`, `is_trip_available`, and `is_operator_available` (each only raises if the resource is claimed by a *different* run, so a re-fire where this run already holds its own claims still passes), then re-confirms the run's `trip_id` still exists in whichever GTFS feed is current *now* — covering the nightly `build_schedule` feed rotation that may have happened between validation and initialization. Raises `RunLifecycleError` with field-keyed detail on any failure.
 
 **Authorization guards:**
 
@@ -112,9 +112,9 @@ Defined in `backend/runs/domain/lifecycle/guards.py`.
 
 - `is_vehicle_tracked` — checks `SISMEMBER runs:tracking <run_id>` in Redis.
 - `is_vehicle_moving` — checks `speed > 0.5` m/s in the payload.
-- `is_telemetry_stale` — checks `staleness > TELEMETRY_GRACE_S` (60 s).
-- `is_telemetry_fresh` — checks `staleness <= TELEMETRY_GRACE_S` (60 s).
-- `is_telemetry_grace_period_exceeded` — checks `staleness > TELEMETRY_EXPIRY_S` (600 s).
+- `is_telemetry_stale` — checks `staleness > TELEMETRY_GRACE_S` (60 s), where `staleness` is computed from the payload's `last_seen_at` (falling back to the run record's `last_event_at` if absent).
+- `is_telemetry_fresh` — checks `staleness <= TELEMETRY_GRACE_S` (60 s), same `last_seen_at`/`last_event_at` fallback.
+- `is_telemetry_grace_period_exceeded` — checks `staleness > TELEMETRY_EXPIRY_S` (600 s), same `last_seen_at`/`last_event_at` fallback.
 - `is_at_terminal_stop` — checks that the `stop_id` in the payload matches the last stop of the run's trip in the current GTFS feed.
 
 ## Actions
diff --git a/docs/content/runs/progress-fsm.md b/docs/content/runs/progress-fsm.md
index 9270c9c..d870dbd 100644
--- a/docs/content/runs/progress-fsm.md
+++ b/docs/content/runs/progress-fsm.md
@@ -6,8 +6,8 @@ icon: lucide/activity
 
 `MODEL.md` describes a second, separate state machine for vehicle motion that runs concurrently with the lifecycle FSM. This page documents the design intent and the current implementation status.
 
-!!! warning "Implementation gap"
-    The motion FSM described in `MODEL.md` (`IS_MOVING` / `IS_STOPPED` / `IS_PAUSED`) does not yet exist in the code as a working service. The `backend/runs/domain/progress/` module exists as a structural scaffold, but its state enum (`RunProgressStates`) mirrors the lifecycle states rather than the motion states, and the `RunProgressService` in `backend/runs/services/progress.py` is a stub (no active call path, hardcoded `current_stop = 1`). This page describes both the design intent and the actual code state.
+!!! warning "Design intent only — the scaffold was removed"
+    The motion FSM described in `MODEL.md` (`IS_MOVING` / `IS_STOPPED` / `IS_PAUSED`) does not exist in the code, as a working service or otherwise. A structural scaffold once lived at `backend/runs/domain/progress/` (states/events/transitions/guards/actions mirroring the lifecycle FSM) plus a stub `RunProgressService` in `backend/runs/services/progress.py`, but neither ever had a live call path — the scaffold's state enum mirrored `RunLifecycleStates` rather than the motion states, and the service hardcoded `current_stop = 1`. Both were deleted as dead code during release cleanup, commit `a3cbb0a` ("refactor(runs): drop dead RunProgress FSM chain"). This page describes the design intent and the actual active implementation of stop-state detection, which is a different, simpler mechanism than the planned motion FSM.
 
 ## Design intent (MODEL.md)
 
@@ -35,51 +35,40 @@ stateDiagram-v2
 
 The FSM was designed to emit a trace — a sequence of labeled transitions carrying timestamps and position data — that could be consumed by the analytics pipeline for scheduling and on-time performance analysis.
 
-## What exists in the code
+This remains future design intent. Nothing below is a step toward it; it is a separate, already-shipped mechanism that happens to answer a related question ("is the vehicle stopped at a stop right now?") without any FSM.
 
-`backend/runs/domain/progress/` contains:
+## What exists in the code: per-tick stop-status computation
 
-- `states.py` — `RunProgressStates` enum: **identical to `RunLifecycleStates`** (Requested, Validated, …, Cancelled). Not the IS_MOVING/IS_STOPPED/IS_PAUSED states.
-- `events.py` — `RunProgressEvents` enum: identical to `RunLifecycleEvents`.
-- `transitions.py` — A transition table that mirrors `backend/runs/domain/lifecycle/transitions.py` exactly, using `RunProgressStates` and `RunProgressEvents`.
-- `guards.py` — Copy of lifecycle guards.
-- `actions.py` — Copy of lifecycle actions.
+There is no motion FSM in the code, dead or otherwise — the `progress/` scaffold and `RunProgressService` described above are gone. The **active** implementation of stop-state detection is a stateless, per-tick computation in `backend/runs/domain/progression/compute.py`, function `compute_stop_status`.
 
-The `RunProgressService` in `backend/runs/services/progress.py` is a stub:
+On every position update, `compute_stop_status`:
 
-```python
-class RunProgressService:
-    def process_event(self, event, payload):
-        run = self._load_run(payload)
-        if not self._is_active(run):  # checks run_lifecycle_state == "IN_PROGRESS"
-            return None
-        ...
-    def _detect_stop_events(self, run, context):
-        current_stop = 1  # TODO: self._infer_current_stop(run, context)
-        ...
-```
-
-No task, celery entry point, or MQTT handler calls `RunProgressService.process_event`.
+1. Loads the cached GTFS shape geometry for the run's `(shape_id, trip_id)`.
+2. Projects the observed GPS point onto the shape polyline to get the along-track progress distance.
+3. Picks the upcoming stop (the next stop ahead by progress distance, or the last stop if the vehicle has passed all of them).
+4. Applies radius/speed rules to classify the vehicle against that stop:
+   - `distance <= STOP_RADIUS_M` (20.0 m) AND (speed unknown OR `speed <= STATIONARY_SPEED_MPS` (0.5 m/s)) → `STOPPED_AT`
+   - `distance <= INCOMING_AT_RADIUS_M` (50.0 m) AND still approaching (`point_progress_m < stop.progress_m`) → `INCOMING_AT`
+   - otherwise → `IN_TRANSIT_TO`
+5. Enforces a monotonic sequence floor: if the new candidate's `stop_sequence` would regress below the previous tick's, the previous sequence/stop_id are kept instead.
 
-## Relationship to server-side progression
+The whole computation is wrapped in `try/except Exception` and falls back to `IN_TRANSIT_TO` plus carry-forward of the previous state on any error (missing GTFS data, ORM errors, bad payloads) — it must never raise, since the caller runs it on every position tick.
 
-The server-side map-matching in `backend/runs/domain/progression/compute.py` produces a `vehicle_stop_status` dict with three states: `STOPPED_AT`, `INCOMING_AT`, `IN_TRANSIT_TO`. These correspond loosely to the motion FSM concept but are computed per telemetry tick and written to Redis as `run:<id>:vehicle_stop_status`, not as FSM transitions.
+This is a **stateless classification, not an FSM**: there are no explicit states, transitions, guards, or actions — just a pure function computing one of three status strings from the current tick's geometry. The only "memory" across ticks is the monotonic sequence floor.
 
-The stop-status computation uses:
+### Where it's called and stored
 
-- `STOP_RADIUS_M = 20.0` m — within this distance and low speed → `STOPPED_AT`
-- `INCOMING_AT_RADIUS_M = 50.0` m — within this distance and still approaching → `INCOMING_AT`
-- `STATIONARY_SPEED_MPS = 0.5` m/s — speed at or below this is considered dwell
+`backend/runs/domain/progression/producer.py::produce_stop_status` is the impure wrapper: it reads `vehicle:<vehicle_id>:position` and `run:<run_id>` from Redis, calls `compute_stop_status`, validates the result, and writes it to `run:<run_id>:vehicle_stop_status` (Redis hash key from `backend/runs/domain/telemetry/keys.py::stop_status_key`).
 
-This is the active implementation of stop-state detection. The motion FSM scaffold in `progress/` is not yet connected to it.
+It is invoked from `process_position_update` (`backend/realtime_engine/tasks.py`), which runs after every MQTT position write. The resulting `vehicle_stop_status` dict is then re-fed into `detect_from_telemetry(..., leaf="progression", ...)` so `RunCompletedDetector` can fire `run_completed` when `current_status == "STOPPED_AT"` — see [detection.md](detection.md) and [commands-vs-detections.md](commands-vs-detections.md) for that path.
 
 ## Summary
 
 | Aspect | Design intent (MODEL.md) | Current code |
 |---|---|---|
 | Motion states | `IS_MOVING`, `IS_STOPPED`, `IS_PAUSED` | Not implemented |
-| Module location | `runs/domain/progress/` | Exists as a lifecycle mirror scaffold |
-| Active service | `RunProgressService` | Stub — no live call path |
-| Stop-state detection | Motion FSM transitions | Per-tick `compute.py` → `vehicle_stop_status` Redis hash |
+| Scaffold module | (none planned — would be new) | `runs/domain/progress/` existed as an unused lifecycle-mirror scaffold; deleted in `a3cbb0a` |
+| Stub service | (none planned — would be new) | `RunProgressService` existed as a dead stub; deleted in `a3cbb0a` |
+| Stop-state detection | Motion FSM transitions with a trace | Stateless per-tick `compute_stop_status()` → `vehicle_stop_status` Redis hash (`run:<id>:vehicle_stop_status`) |
 
-The motion FSM is planned for implementation. When implemented, it will run alongside the lifecycle FSM and produce structured traces for the analytics pipeline.
+The motion FSM is still only a design idea in `MODEL.md`. If it is ever implemented, it would run alongside the lifecycle FSM and produce structured traces for the analytics pipeline — but that is unrelated to the per-tick stop-status computation described above, which already ships and already drives `run_completed` detection.
diff --git a/docs/content/runs/stale-runs.md b/docs/content/runs/stale-runs.md
index e1c4d55..bbea1a7 100644
--- a/docs/content/runs/stale-runs.md
+++ b/docs/content/runs/stale-runs.md
@@ -49,9 +49,6 @@ TELEMETRY_EXPIRY_S = 600  # seconds
 | `IN_PROGRESS` AND `60 < staleness <= 600` | `run_tracking_lost` | `No Signal` |
 | `NO_SIGNAL` AND `staleness > 600` | `run_tracking_expired` | `Cancelled` |
 
-!!! note "README vs thresholds.py discrepancy"
-    `backend/realtime_engine/README.md` states the expiry threshold as 300 s. The actual code value in `backend/runs/domain/detection/thresholds.py` (the single source of truth for both detectors and guards) is **600 s**. The README predates the thresholds unification and has not been updated. Trust `thresholds.py`.
-
 The two-stage design gives the vehicle a grace window (60 s) to reconnect before the run enters `No Signal`, and then a longer window (up to 600 s total from last seen) before it is permanently cancelled.
 
 ## Why `runs:tracking` includes NO_SIGNAL runs

From 03f109c8bd895d20fb56ed99d9be4e870b262625 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Thu, 20 Aug 2026 02:18:10 -0600
Subject: [PATCH 52/68] docs(site): update data-flow section against current
 code

---
 docs/content/data-flow/gtfs-rt-publishing.md  | 50 ++++++++++++++-----
 docs/content/data-flow/index.md               |  5 +-
 docs/content/data-flow/map-matching.md        | 19 ++++++-
 docs/content/data-flow/server-processing.md   | 27 ++++++++--
 docs/content/data-flow/telemetry-ingestion.md | 18 ++++++-
 5 files changed, 98 insertions(+), 21 deletions(-)

diff --git a/docs/content/data-flow/gtfs-rt-publishing.md b/docs/content/data-flow/gtfs-rt-publishing.md
index f012ad4..b6eb426 100644
--- a/docs/content/data-flow/gtfs-rt-publishing.md
+++ b/docs/content/data-flow/gtfs-rt-publishing.md
@@ -23,26 +23,46 @@ app.conf.beat_schedule = {
         "task": "schedule_engine.tasks.build_trip_updates",
         "schedule": timedelta(seconds=15),
     },
-    "build-alerts-every-10s": {
-        "task": "schedule_engine.tasks.build_alerts",
-        "schedule": timedelta(seconds=10),
-    },
     "scan-stale-runs-every-30s": {
         "task": "realtime_engine.tasks.scan_stale_runs",
         "schedule": timedelta(seconds=30),
     },
+    "fetch-positions": {
+        "task": "realtime_engine.tasks.fetch_positions",
+        "schedule": timedelta(seconds=10),
+        # A task that couldn't even start within its own 10s cycle is stale
+        # by the time a worker slot frees up -- revoke it instead of letting
+        # queued fetch_positions runs pile up behind a slow/unreachable
+        # source.
+        "options": {"expires": 10},
+    },
+    "build-schedule-daily": {
+        "task": "schedule_engine.tasks.build_schedule",
+        "schedule": timedelta(days=1),
+    },
 }
 ```
 
+`build_alerts` (`schedule_engine.tasks.build_alerts`) is **not** in this dict —
+it is deliberately excluded from beat, see the warning below.
+
 | Task | Queue | Cadence | Output |
 |---|---|---|---|
 | `build_vehicle_positions` | `schedule_engine` | 15 s | `vehicle_positions.{pb,json}` |
 | `build_trip_updates` | `schedule_engine` | 15 s | `trip_updates.{pb,json}` + WebSocket push |
-| `build_alerts` | `schedule_engine` | 10 s | stub (returns `"Feed ServiceAlert built"`) |
-| `scan_stale_runs` | `realtime_engine` | 30 s | lifecycle events only |
+| `build_schedule` | `schedule_engine` | daily | GTFS Schedule zip, via `feed.schedule.exporter.publish_gtfs_zip` |
+
+Two more beat entries fire on this same schedule but are **not** part of the
+feed-building pipeline — they belong to `realtime_engine` ingestion and are
+covered on [Telemetry ingestion](telemetry-ingestion.md), not here:
 
-!!! warning "Alerts are a stub"
-    `build_alerts` returns a string and does not write any file. ServiceAlert support is designed but not yet implemented.
+| Task | Queue | Cadence | Role |
+|---|---|---|---|
+| `scan_stale_runs` | `realtime_engine` | 30 s | Fires lifecycle events for quiet runs; writes no feed output. |
+| `fetch_positions` | `realtime_engine` | 10 s (`expires=10`) | Polls HTTP telemetry sources and republishes onto MQTT — an ingestion task, not a publisher. |
+
+!!! warning "Alerts are a stub, and it is not beat-scheduled"
+    `build_alerts` (`backend/schedule_engine/tasks.py`) still exists as a Celery task — it returns the string `"Feed ServiceAlert built"` and writes no file — but it was removed from `app.conf.beat_schedule`. It only runs if invoked manually (shell, Django admin); nothing calls it on a cadence. ServiceAlert support is designed but not yet implemented.
 
 ## Feed assembly: pure builders
 
@@ -120,7 +140,7 @@ backend/feed/files/
 └── trip_updates.json       # Debug JSON, same content
 ```
 
-The `feed` Django app serves these files via a static-file route. In production the `static_files` nginx service (see [Deployment](../operations/deployment.md)) serves them from a shared volume.
+These files are served by explicit `feed` app views (`backend/feed/views.py`, routed in `backend/feed/urls.py`) — `GET /realtime/vehicle_positions.{json,pb}` and `/realtime/trip_updates.{json,pb}` each `FileResponse` the corresponding file — not by a generic static-file/nginx route. In `compose.dev.yml` all three backend services bind-mount the same `./backend` host directory, so `feed/files/` written by `schedule-engine` is immediately visible to `orchestrator`. See [Deployment](../operations/deployment.md) for how the output directory is exposed in other environments.
 
 ## Feed cadence diagram
 
@@ -143,12 +163,18 @@ sequenceDiagram
         W-->>W: group_send("status", …)
     end
 
-    loop Every 10 s
-        B->>W: build_alerts
-        W-->>W: return stub string
+    loop Once a day
+        B->>W: build_schedule
+        W->>F: gtfs.zip
     end
 ```
 
+`build_alerts` fires on no schedule — it is not in `app.conf.beat_schedule`.
+`fetch_positions` (every 10 s, `expires=10`) and `scan_stale_runs` (every 30 s)
+also fire on Celery Beat, but on the `realtime_engine` worker, as ingestion
+tasks — see [Telemetry ingestion](telemetry-ingestion.md) rather than this
+diagram, which covers feed *publishing* only.
+
 ## Related pages
 
 - [Live updates (WebSocket)](live-updates.md) — the `group_send` call inside `build_trip_updates`.
diff --git a/docs/content/data-flow/index.md b/docs/content/data-flow/index.md
index 4ecb89d..f6964c6 100644
--- a/docs/content/data-flow/index.md
+++ b/docs/content/data-flow/index.md
@@ -43,9 +43,12 @@ sequenceDiagram
     S->>W: channel_layer.group_send("status", …)
 ```
 
+!!! note "This diagram shows the MQTT-native path"
+    Devices that only expose an HTTP+JSON endpoint don't publish MQTT directly. Instead `realtime_engine.tasks.fetch_positions` polls them every 10 s and republishes onto the same `transit/vehicle/<id>/position` topic — from step 2 onward the pipeline is identical either way. See [Telemetry ingestion](telemetry-ingestion.md#http-polling-a-second-producer).
+
 | Page | What it covers |
 |---|---|
-| [Telemetry ingestion](telemetry-ingestion.md) | MQTT consumer bootstep, topic subscriptions, per-leaf pipeline |
+| [Telemetry ingestion](telemetry-ingestion.md) | MQTT consumer bootstep, topic subscriptions, per-leaf pipeline, HTTP-polling ingestion path |
 | [Server-side processing](server-processing.md) | `process_position_update` Celery task and its four steps |
 | [Map-matching & progression](map-matching.md) | GPS→polyline projection, three-state radius rules, monotonic guard |
 | [GTFS Realtime publishing](gtfs-rt-publishing.md) | Beat schedule, builders, output files |
diff --git a/docs/content/data-flow/map-matching.md b/docs/content/data-flow/map-matching.md
index 77885f6..e005d82 100644
--- a/docs/content/data-flow/map-matching.md
+++ b/docs/content/data-flow/map-matching.md
@@ -160,9 +160,24 @@ Defined at the top of `compute.py`:
 
 This dict is written to `run:<run_id>:vehicle_stop_status` by `producer.py` and then re-fed into the detection layer as the synthetic `"progression"` leaf to drive `RunCompletedDetector`.
 
+## Downstream: the ETA / stop-time-updates projection
+
+`run:<run_id>:vehicle_stop_status` (produced above) feeds a second projection: predicted arrival/departure times for upcoming stops, written to `run:<run_id>:stop_time_updates` and consumed by the TripUpdates GTFS-RT feed (see [Server-side processing](server-processing.md), step 3, and [GTFS Realtime publishing](gtfs-rt-publishing.md)).
+
+The pure/impure split mirrors `compute.py` / `producer.py`:
+
+| Module | Role |
+|---|---|
+| `compute_stop_time_updates` (`backend/runs/domain/progression/stop_times.py`) | Pure: builds the `upcoming_stops` list from `geom.stops` filtered by `current_stop_sequence`/`current_status`, then calls the ETA estimator. |
+| `produce_stop_times` (same file) | Impure glue: reads `run:<run_id>`, `vehicle:<id>:position`, and `run:<run_id>:vehicle_stop_status` from Redis, resolves `ShapeGeometry` via the same `shapes.get_shape_geometry` cache used above, and conditionally writes the result. |
+
+The estimator call itself, `gtfs_eta.eta_service.estimator.estimate_stop_times(...)`, is imported **lazily inside the function** — this is a deliberate seam so a missing/unconfigured ETA model registry (`MODEL_REGISTRY_DIR`) never breaks Celery worker startup. `ETA_MAX_STOPS` (default `3`) caps how many upcoming stops are sent to the estimator per tick; `ETA_DEFAULT_UNCERTAINTY_S` (default `120`) is the uncertainty value attached to every prediction.
+
+Unlike `compute_stop_status`, which always writes a fallback, `produce_stop_times` writes **only when the estimator returns at least one prediction** — an estimator error or an untrained route leaves the previous `run:<run_id>:stop_time_updates` value untouched, to expire on its own 60-second TTL rather than being overwritten with an empty array.
+
 ## Related pages
 
-- [Server-side processing](server-processing.md) — where `produce_stop_status` is called in the task pipeline.
+- [Server-side processing](server-processing.md) — where `produce_stop_status` and `produce_stop_times` are called in the task pipeline.
 - [Detection layer](../runs/detection.md) — how the computed stop status drives the run lifecycle.
 - [Data model: telemetry contracts](../data-model/telemetry-contracts.md) — `vehicle_stop_status` contract definition.
-- [GTFS Realtime publishing](gtfs-rt-publishing.md) — how the computed status appears in GTFS-RT feeds.
+- [GTFS Realtime publishing](gtfs-rt-publishing.md) — how the computed status and stop-time-updates appear in GTFS-RT feeds.
diff --git a/docs/content/data-flow/server-processing.md b/docs/content/data-flow/server-processing.md
index bbe0c70..10a6296 100644
--- a/docs/content/data-flow/server-processing.md
+++ b/docs/content/data-flow/server-processing.md
@@ -63,21 +63,28 @@ This is how `RunCompletedDetector` works post-decommission: it no longer reads a
 !!! note "Why the leaf name is still 'progression'"
     `RunCompletedDetector` was written to match the `"progression"` leaf and inspect `current_status`. Passing the server-computed dict under the same leaf name preserved backward compatibility with the detector contract without touching the detection layer. The leaf is now synthetic (server-generated), not edge-sent.
 
-### Step 3: stop-time-updates projection
+### Step 3: stop-time-updates projection (real ETA estimation)
 
 ```python
 from runs.domain.progression.stop_times import produce_stop_times
 produce_stop_times(run_id, vehicle_id)
 ```
 
-`produce_stop_times` (`backend/runs/domain/progression/stop_times.py`) reads the current run hash and stop-status progression from Redis, delegates to `schedule_engine.fake_stop_times.build_stop_time_updates`, maps the output to the typed contract, and writes the JSON array to `run:<run_id>:stop_time_updates` with a 60-second TTL:
+`produce_stop_times` (`backend/runs/domain/progression/stop_times.py`) is the impure glue layer for a real ETA estimator — not a fake/placeholder generator:
+
+1. Read the run hash and the latest position from Redis. Exit without writing if the run hash is missing, or the position has no `latitude`/`longitude`.
+2. Resolve `shape_id`/`trip_id` from the run hash and load the cached `ShapeGeometry` (`runs/domain/progression/shapes.py`, the same geometry map-matching uses). Exit without writing if either id is missing or the geometry can't be loaded — this leaves the last-good projection in Redis to expire naturally via its TTL rather than clobbering it with an empty result.
+3. Project the vehicle onto the polyline and build the `upcoming_stops` list: stops at/after the current `current_stop_sequence` (strictly after it when `current_status == "STOPPED_AT"`).
+4. Call `gtfs_eta.eta_service.estimator.estimate_stop_times(...)`, imported lazily inside the function so a missing/unconfigured ETA model registry never breaks Celery worker startup. `MODEL_REGISTRY_DIR` (read by `gtfs_eta` itself), `ETA_MAX_STOPS` (default `3`), and `ETA_DEFAULT_UNCERTAINTY_S` (default `120`) control the call.
+5. Map each prediction to the `stop_time_updates` contract (`stop_sequence`, `stop_id`, `arrival_time`, `departure_time`, `uncertainty`), dedup by `stop_sequence`, sort ascending.
+6. **Write only when the estimator returns at least one prediction.** If the estimator errors, or the route has no trained model, `produce_stop_times` returns without touching Redis at all — the previous projection is left in place to TTL-expire on its own, rather than being overwritten with an empty array.
 
 ```python
 STOP_TIME_UPDATES_TTL_S = 60
 r.set(keys.stop_time_updates_key(run_id), payload, ex=STOP_TIME_UPDATES_TTL_S)
 ```
 
-The TTL ensures that if a vehicle goes silent, the GTFS-RT builder reads an empty/expired key rather than serving stale arrival predictions.
+The TTL ensures that if a vehicle goes silent and nothing refreshes the key, the GTFS-RT builder eventually reads an empty/expired key rather than serving indefinitely stale arrival predictions.
 
 ### Step 4: position-leaf detection
 
@@ -107,6 +114,17 @@ flowchart TD
 
 Each step is wrapped in its own `try/except`. A failure in any one step is logged and does not abort the remaining steps — the task always attempts all four phases.
 
+## Downstream: `run_lifecycle_event` and idempotent re-fires
+
+Steps 2 and 4 call `detect_from_telemetry` (`backend/runs/domain/detection/dispatch.py`). When a detector matches, the dispatcher itself queues `realtime_engine.tasks.run_lifecycle_event.delay(event, payload)` — that task, not `process_position_update`, is what actually calls `RunLifecycleService.process_event` and commits the FSM transition.
+
+Detectors already gate on the run's current lifecycle state before firing, but a detection can still lose a race against an in-flight transition for the same run — e.g. two position pings both observe `Tracking` before the first `RUN_STARTED` transition has landed, so both queue a `run_started` event. `run_lifecycle_event` (`backend/realtime_engine/tasks.py`) tells that harmless re-fire apart from a genuine invalid transition using `target_state_for_event()` (`backend/runs/domain/lifecycle/transitions.py`), which resolves the single `to_state` an event deterministically leads to (or `None` if the event has no transitions or maps to more than one distinct target):
+
+- If the event's target state resolves unambiguously and the run has *already* reached it, the re-fire is logged at `WARNING` ("no-op re-fire, run already `<state>`") and swallowed — not a failure.
+- Any other `RunLifecycleError` — a real invalid transition, or a target state that can't be resolved unambiguously — is logged at `ERROR` via `logger.exception`.
+
+(commit `452ce10`, which downgraded these benign re-fires from `ERROR` to `WARNING`.)
+
 ## Occupancy: inline, not off-thread
 
 Occupancy processing (`HSET vehicle:<id>:occupancy` + lifecycle detection) remains inline in the MQTT callback and is not delegated to a Celery task. There are two reasons:
@@ -117,6 +135,7 @@ Occupancy processing (`HSET vehicle:<id>:occupancy` + lifecycle detection) remai
 ## Related pages
 
 - [Telemetry ingestion](telemetry-ingestion.md) — the MQTT callback that enqueues this task.
-- [Map-matching & progression](map-matching.md) — step 1 in detail.
+- [Map-matching & progression](map-matching.md) — step 1 in detail, plus the ETA/stop-time projection covered in step 3.
 - [Celery workers, queues & beat](../operations/celery.md) — queue routing and worker configuration.
 - [Detection layer](../runs/detection.md) — how `detect_from_telemetry` works.
+- [Lifecycle states](../runs/lifecycle-states.md) — the FSM `run_lifecycle_event` drives.
diff --git a/docs/content/data-flow/telemetry-ingestion.md b/docs/content/data-flow/telemetry-ingestion.md
index 356d4d1..c8e27e6 100644
--- a/docs/content/data-flow/telemetry-ingestion.md
+++ b/docs/content/data-flow/telemetry-ingestion.md
@@ -2,9 +2,9 @@
 icon: lucide/radio
 ---
 
-# Telemetry ingestion (MQTT)
+# Telemetry ingestion (MQTT + HTTP polling)
 
-Vehicles publish telemetry to NanoMQ over MQTT. The `realtime-engine` Celery worker picks it up through an in-process bootstep and routes it into Redis.
+Vehicles publish telemetry to NanoMQ over MQTT. The `realtime-engine` Celery worker picks it up through an in-process bootstep and routes it into Redis. A second path exists for devices that only expose an HTTP+JSON endpoint: the `fetch_positions` Celery Beat task polls them and republishes onto the same MQTT topic, so everything below this point in the pipeline is identical regardless of which path produced the message (see [HTTP polling: a second producer](#http-polling-a-second-producer) below).
 
 ## The MQTT consumer is a Celery bootstep
 
@@ -132,6 +132,20 @@ r.set(keys.last_seen_key(run_id), now().isoformat())
 
 This key drives the stale-run scanner (`scan_stale_runs`, every 30 s). Writing it synchronously ensures staleness detection is never delayed by queue backlog, even when the `realtime_engine` Celery queue is under load.
 
+## HTTP polling: a second producer
+
+Not every telemetry device speaks MQTT. `realtime_engine.tasks.fetch_positions` (`backend/realtime_engine/tasks.py`) is a Celery Beat task — scheduled every 10 s as `fetch-positions` in `backend/databus/celery.py`, with `expires=10` so a poll that couldn't even start within its own cycle is revoked instead of queuing up behind a slow/unreachable source — that polls HTTP+JSON telemetry sources (`backend/realtime_engine/sources/http_json.py`) and republishes what it fetches onto the same `transit/vehicle/<id>/position` topic this bootstep subscribes to. From that point on, ingestion is indistinguishable from a native MQTT publish.
+
+Key behaviors:
+
+- **Same in-service gate as the MQTT consumer.** Only sensors whose assigned vehicle has a `vehicle:<id>:current_run` Redis key are fetched at all (commit `6936b30`) — gating on `runs:in_progress` instead would deadlock a `CONFIRMED` run, since it only reaches `IN_PROGRESS` once telemetry proves the vehicle is moving.
+- **`soft_time_limit=25`** on the task: a single pathological source (a host that hangs on every request) can't hold a worker slot indefinitely. On `SoftTimeLimitExceeded` the in-flight sensor is logged and the task returns early without publishing.
+- **`DEFAULT_TIMEOUT_S = 5`** on the underlying HTTP adapter's own request (`http_json.py`), independent of the task-level soft limit.
+- **Misconfigured sensors are skipped with explicit guards, not exceptions** (commit `ee39467`): a sensor with `source_type="http"`/`"both"` but no `source_http_url` is skipped and logged; a record whose mapping doesn't resolve a `vehicle_id` and whose sensor has no `equipment` association is skipped and logged.
+- Fetched readings are filtered down to in-service vehicles a second time after the HTTP call returns (a fleet endpoint can report many vehicles from one sensor's URL), then published via `MqttPublisher.publish_batch` (`backend/realtime_engine/sources/publisher.py`) — QoS 0, not retained, same topic and payload shape as a direct device publish.
+
+This page only summarizes the ingestion mechanics; the full field-by-field mapping contract (JSON-path mapping schema, unit conversions, pre-fetch vs. post-fetch filtering) is documented on [MQTT telemetry contract → HTTP polling ingestion path](../interfaces/mqtt-telemetry.md#http-polling-ingestion-path) — read that page rather than duplicating it here.
+
 ## Consumer pipeline summary
 
 ```mermaid

From 30f599a7fdfb1ead18b4eb4f9b8160b47e6f15e2 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Thu, 20 Aug 2026 02:28:25 -0600
Subject: [PATCH 53/68] docs(site): update operations section against current
 code

---
 docs/content/operations/celery.md          | 37 +++++++++----
 docs/content/operations/configuration.md   | 22 +++++++-
 docs/content/operations/deployment.md      |  9 +++-
 docs/content/operations/development.md     | 63 +++++++++++++++-------
 docs/content/operations/troubleshooting.md | 37 ++++++++++++-
 5 files changed, 132 insertions(+), 36 deletions(-)

diff --git a/docs/content/operations/celery.md b/docs/content/operations/celery.md
index 38ac740..8024d2b 100644
--- a/docs/content/operations/celery.md
+++ b/docs/content/operations/celery.md
@@ -16,7 +16,8 @@ Databús runs three Celery processes: two workers consuming different queues, an
 │  Tasks:                             │  │  Tasks:                             │
 │  • process_position_update          │  │  • build_vehicle_positions          │
 │  • run_lifecycle_event              │  │  • build_trip_updates               │
-│  • scan_stale_runs                  │  │  • build_alerts                     │
+│  • scan_stale_runs                  │  │  • build_alerts (stub, unscheduled) │
+│  • fetch_positions                  │  │  • build_schedule                   │
 │                                     │  │                                     │
 │  Bootstep: MQTTConsumerStep         │  │  No bootstep active                 │
 │  (gated by MQTT_CONSUMER_ENABLED)   │  │                                     │
@@ -35,8 +36,8 @@ All three processes load `backend/databus/celery.py` as the Celery app. The queu
 
 | Queue | Consumed by | Tasks |
 |---|---|---|
-| `realtime_engine` | `realtime-engine` worker | `process_position_update`, `run_lifecycle_event`, `scan_stale_runs` |
-| `schedule_engine` | `schedule-engine` worker | `build_vehicle_positions`, `build_trip_updates`, `build_alerts` |
+| `realtime_engine` | `realtime-engine` worker | `process_position_update`, `run_lifecycle_event`, `scan_stale_runs`, `fetch_positions` |
+| `schedule_engine` | `schedule-engine` worker | `build_vehicle_positions`, `build_trip_updates`, `build_alerts`, `build_schedule` |
 
 Queue separation ensures that a spike in MQTT telemetry (many `process_position_update` tasks) does not starve GTFS-RT building tasks, and vice versa.
 
@@ -70,14 +71,24 @@ app.conf.beat_schedule = {
         "task": "schedule_engine.tasks.build_trip_updates",
         "schedule": timedelta(seconds=15),
     },
-    "build-alerts-every-10s": {
-        "task": "schedule_engine.tasks.build_alerts",
-        "schedule": timedelta(seconds=10),
-    },
     "scan-stale-runs-every-30s": {
         "task": "realtime_engine.tasks.scan_stale_runs",
         "schedule": timedelta(seconds=30),
     },
+    "fetch-positions": {
+        "task": "realtime_engine.tasks.fetch_positions",
+        "schedule": timedelta(seconds=10),
+        # A task that couldn't even start within its own 10s cycle is stale
+        # by the time a worker slot frees up -- revoke it instead of letting
+        # queued fetch_positions runs pile up behind a slow/unreachable
+        # source (see fetch_positions' soft_time_limit for the in-flight
+        # bound on runs that DO start).
+        "options": {"expires": 10},
+    },
+    "build-schedule-daily": {
+        "task": "schedule_engine.tasks.build_schedule",
+        "schedule": timedelta(days=1),
+    },
 }
 ```
 
@@ -85,8 +96,12 @@ app.conf.beat_schedule = {
 |---|---|---|---|---|
 | `build-vehicle-positions-every-15s` | `build_vehicle_positions` | `schedule_engine` | 15 s | Rebuild `vehicle_positions.{pb,json}` |
 | `build-trip-updates-every-15s` | `build_trip_updates` | `schedule_engine` | 15 s | Rebuild `trip_updates.{pb,json}`, push WebSocket heartbeat |
-| `build-alerts-every-10s` | `build_alerts` | `schedule_engine` | 10 s | Stub — returns a string, writes no file |
 | `scan-stale-runs-every-30s` | `scan_stale_runs` | `realtime_engine` | 30 s | Detect `run_tracking_lost` / `run_tracking_expired` |
+| `fetch-positions` | `fetch_positions` | `realtime_engine` | 10 s (`expires=10`) | Poll ACTIVE HTTP-source sensors for in-service vehicles and publish their readings over MQTT. Gated on `vehicle:<id>:current_run` (the same in-service test the MQTT consumer uses), not on `runs:in_progress` — see the docstring in `backend/realtime_engine/tasks.py`. A cycle that can't even start within its own 10 s window is revoked (`expires=10`) instead of queuing behind a slow/unreachable source. |
+| `build-schedule-daily` | `build_schedule` | `schedule_engine` | 1 day | Export the current GTFS Schedule to a zip via `feed.schedule.exporter.publish_gtfs_zip` |
+
+!!! note "`build_alerts` exists but is not scheduled"
+    `schedule_engine.tasks.build_alerts` is a real Celery task (queue `schedule_engine`) but is **deliberately not** in `app.conf.beat_schedule`. Its docstring says why: it's a placeholder that returns a fixed string and writes no feed file — the ServiceAlert feed builder isn't implemented yet. It can still be invoked manually (e.g. from the Django admin or a shell), but nothing fires it periodically.
 
 ## Celery task monitoring: Flower
 
@@ -107,9 +122,9 @@ Flower connects to RabbitMQ and shows:
 
 | Compose service | Celery command | Build target |
 |---|---|---|
-| `realtime-engine` | `celery -A databus worker -Q realtime_engine -l info` | `realtime-engine` |
-| `schedule-engine` | `celery -A databus worker -Q schedule_engine -l info` | `schedule-engine` |
-| `scheduler` | `celery -A databus beat -l info` | `scheduler` |
+| `realtime-engine` | `celery -A databus worker -Q realtime_engine --loglevel=info` | `realtime-engine` |
+| `schedule-engine` | `celery -A databus worker -Q schedule_engine --loglevel=info` | `schedule-engine` |
+| `scheduler` | `celery -A databus beat --loglevel=info` | `scheduler` |
 
 Build targets are defined in `backend/Dockerfile`. Each target installs the same Python environment but sets a different `CMD`.
 
diff --git a/docs/content/operations/configuration.md b/docs/content/operations/configuration.md
index 564d3dd..515f946 100644
--- a/docs/content/operations/configuration.md
+++ b/docs/content/operations/configuration.md
@@ -12,7 +12,8 @@ Databús is configured entirely through environment variables loaded from `.env`
 |---|---|
 | `.env.example` | Template committed to the repository. Contains safe defaults and empty slots for secrets. |
 | `.env` | Your local configuration. **Never commit this file.** |
-| `.env.prod` | Production overrides (domains, TLS, credentials). Loaded alongside `.env` by `compose.prod.yml`. |
+| `.env.dev` | Development overrides (`DEBUG=True`, `DJANGO_SERVE_STATIC=True`, dev ETA-model defaults, `MQTT_HOST`/`MQTT_PORT`). Loaded alongside `.env` by `compose.dev.yml` (`env_file: [.env, .env.dev]` on every backend service). |
+| `.env.prod` | Production overrides (`DEBUG=False` today; add domains/TLS/credential overrides here if they differ from `.env`). Loaded alongside `.env` by `compose.prod.yml`. |
 
 ## Variable reference
 
@@ -25,6 +26,7 @@ Databús is configured entirely through environment variables loaded from `.env`
 | `DEBUG` | *(not set)* | No | Set to `True` for development. Never set in production. |
 | `STATIC_URL` | `/static/` | No | URL prefix for static files. |
 | `MEDIA_URL` | `/media/` | No | URL prefix for media files. |
+| `DJANGO_SERVE_STATIC` | *(unset, i.e. falsy)* | No | When truthy (`1`/`true`/`yes`/`on`), serves `STATIC_URL`/`MEDIA_URL` through Django even outside `DEBUG` (`databus/urls.py`). `DEBUG=True` already implies this; set it explicitly to serve static/media without full `DEBUG`. `.env.dev` sets it to `True`. |
 
 ### Database (PostgreSQL / PostGIS)
 
@@ -45,6 +47,9 @@ Databús is configured entirely through environment variables loaded from `.env`
 | `REDIS_PASSWORD` | `redispassword` | Yes (prod) | Redis AUTH password. Required in `compose.prod.yml` (the `state` service starts with `--requirepass`). Leave empty for bare-metal dev without auth. |
 | `REDIS_DB` | `0` | No | Redis database index. |
 
+!!! warning "`REDIS_PASSWORD` is not currently consumed by any Redis client"
+    Every place `databus` connects to Redis — `realtime_engine/tasks.py`, `realtime_engine/mqtt.py`, `schedule_engine/tasks.py`, `runs/domain/lifecycle/{guards,actions}.py`, `runs/domain/detection/dispatch.py`, `runs/domain/progression/{producer,stop_times}.py`, and the Channels `CHANNEL_LAYERS` config in `databus/settings.py` — builds its `redis.Redis(...)` / channel-layer host from `REDIS_HOST`/`REDIS_PORT` (or a hardcoded `"state"` in the two `runs/domain/lifecycle` modules) with no password argument. `compose.prod.yml` starts `state` with `--requirepass ${REDIS_PASSWORD}`, so as configured today those clients would fail to authenticate against a production Redis that actually enforces the password. Verified by reading every `redis.Redis(` call site and `settings.py` in this session — flagging as a known gap, not fixing it here (docs-only scope).
+
 ### RabbitMQ (AMQP message broker)
 
 | Variable | Default | Required | Purpose |
@@ -65,6 +70,16 @@ Databús is configured entirely through environment variables loaded from `.env`
 !!! warning "Do not set MQTT_CONSUMER_ENABLED=true on multiple workers"
     Each worker that has this variable enabled will subscribe to the broker and process every MQTT message. That means double-processing all telemetry. The compose files are pre-configured correctly; only change this if you know what you are doing.
 
+### ETA prediction (gtfs-eta)
+
+Read by `backend/runs/domain/progression/stop_times.py`, which is called by `realtime_engine.tasks.process_position_update` after every position write to keep `run:<run_id>:stop_time_updates` current for the GTFS-RT `trip_updates` builder.
+
+| Variable | Default | Required | Purpose |
+|---|---|---|---|
+| `MODEL_REGISTRY_DIR` | *(none in databus code)* | Yes | Directory where the `gtfs_eta` model registry lives. Read directly by the `gtfs_eta` package itself, not by a `databus` default — must be set before starting a worker that runs `process_position_update`. `.env.example`/`.env.dev` set it to `eta_models`. |
+| `ETA_MAX_STOPS` | `3` | No | Maximum number of upcoming stops passed to the ETA estimator per position tick. `.env.dev` overrides this to `10` for local development. |
+| `ETA_DEFAULT_UNCERTAINTY_S` | `120` | No | Uncertainty (seconds) attached to every predicted arrival, passed through to the GTFS-RT feed. |
+
 ### Production domain routing (Traefik)
 
 These variables are only meaningful when running `compose.prod.yml`. They configure Traefik router rules.
@@ -87,15 +102,18 @@ These variables control which host ports the compose services bind to in develop
 | Variable | Default | Mapped service |
 |---|---|---|
 | `BACKEND_PORT` | `8000` | Django (orchestrator) |
-| `DATABASE_PORT` | `5432` | PostgreSQL |
 | `STATE_PORT` | `6379` | Redis |
 | `MQTT_BROKER_PORT` | `1883` | NanoMQ |
 | `MESSAGE_BROKER_AMQP_PORT` | `5672` | RabbitMQ AMQP |
 | `MESSAGE_BROKER_MANAGEMENT_PORT` | `15672` | RabbitMQ management UI |
+| `MESSAGE_BROKER_PROMETHEUS_PORT` | `15692` | RabbitMQ Prometheus metrics |
 | `ANALYTICS_PORT` | `4200` | Prefect |
 | `TASK_MONITORING_PORT` | `5555` | Flower |
 | `USER_INTERFACE_PORT` | `13000` | Nuxt frontend |
 
+!!! note "PostgreSQL has no host port mapping in `compose.dev.yml`"
+    `.env.example` still defines `DATABASE_PORT=5432`, but the `database` service in `compose.dev.yml` has no `ports:` entry — it is internal-only, reachable from other containers but not from the host. `./scripts/dev.sh` prints the same thing at startup ("PostgreSQL (database) internal only"). Reach it from the host with `docker compose -f compose.dev.yml exec database psql -U postgres`.
+
 ### Other
 
 | Variable | Default | Purpose |
diff --git a/docs/content/operations/deployment.md b/docs/content/operations/deployment.md
index acc3e7f..d151a05 100644
--- a/docs/content/operations/deployment.md
+++ b/docs/content/operations/deployment.md
@@ -27,7 +27,10 @@ cp .env.example .env
 ./scripts/prod.sh
 ```
 
-`prod.sh` initialises submodules, builds images, and starts `compose.prod.yml`.
+`prod.sh` builds images and starts `compose.prod.yml`.
+
+!!! warning "gtfs-eta has no production dependency path yet"
+    `backend/gtfs-eta` is a committed symlink to `../../gtfs-eta` (a sibling repo, `simovilab/gtfs-eta`), and `backend/pyproject.toml` declares it as an editable `[tool.uv.sources]` path dependency. `compose.dev.yml` makes this work by bind-mounting `../gtfs-eta:/gtfs-eta` into every backend service — but `compose.prod.yml` has **no equivalent bind mount or build-context provision** for `gtfs-eta`. The `backend` build stage's `COPY --chown=app:app . .` (`backend/Dockerfile`) only has access to `./backend` as its build context, so the symlink has no target to resolve inside the image, and the `uv sync` that installs it as an editable path dependency will fail. This is a known pre-release gap — the deployment host needs a working `gtfs-eta` dependency path before a production build succeeds; how that gets resolved is not yet decided.
 
 ## Environment variables
 
@@ -138,12 +141,14 @@ Redis runs with `--appendonly yes` for durability. The AOF journal persists the
 
 ## Common operations
 
+`backend/docker-entrypoint.sh` already runs `manage.py migrate --noinput` automatically every time the `orchestrator` container starts (gated on `DJANGO_SETUP=True`, which only `orchestrator` sets). Unlike development, it does **not** run `makemigrations` in production — that step is gated on `DEBUG`, and `.env.prod` sets `DEBUG=False`. Migration directories are gitignored (not committed), so `manage.py migrate` in production applies whatever migration files happen to be present in the Docker build context when `compose.prod.yml build` runs — a fresh `git clone` with no prior dev build has none. In practice this means production deploys today rely on migrations already having been generated on the build machine (e.g. by a prior dev build) rather than on a committed or CI-generated set.
+
 ```bash
 # Rebuild and restart after code changes
 docker compose -f compose.prod.yml build orchestrator user-interface
 docker compose -f compose.prod.yml up -d orchestrator user-interface
 
-# Django management in production
+# Django management in production (manual migrate is rarely needed — see above)
 docker compose -f compose.prod.yml exec orchestrator uv run python manage.py migrate
 docker compose -f compose.prod.yml exec orchestrator uv run python manage.py createsuperuser
 
diff --git a/docs/content/operations/development.md b/docs/content/operations/development.md
index 254d3e6..4648360 100644
--- a/docs/content/operations/development.md
+++ b/docs/content/operations/development.md
@@ -4,7 +4,7 @@ icon: lucide/terminal
 
 # Local development
 
-All development is Docker-based. The `scripts/dev.sh` wrapper handles submodule initialisation, image pulls, and health-check waiting, so the recommended workflow is a single command.
+All development is Docker-based. The `scripts/dev.sh` wrapper handles image pulls and health-check waiting, so the recommended workflow is a single command. (It also runs a legacy Git-submodule step that is a no-op today — see the note below.)
 
 ## Prerequisites
 
@@ -13,7 +13,7 @@ All development is Docker-based. The `scripts/dev.sh` wrapper handles submodule
 
 For macOS/Linux bare-metal work (without Docker), you additionally need:
 
-- Python 3.11+
+- Python 3.14+ (`backend/pyproject.toml` pins `requires-python = ">=3.14"`)
 - `uv` (package manager)
 - Redis, PostgreSQL/PostGIS, RabbitMQ, NanoMQ running locally
 
@@ -31,7 +31,15 @@ cp .env.example .env
 ./scripts/dev.sh
 ```
 
-`dev.sh` initialises Git submodules (the `gtfs` submodule under `backend/`), pulls and builds images, starts all compose services, and waits for health checks to pass. On first run this takes 1–2 minutes.
+`dev.sh` pulls and builds images, starts all compose services, and waits for health checks to pass. On first run this takes 1–2 minutes.
+
+!!! note "GTFS dependencies: three different mechanisms, not a submodule"
+    `scripts/dev.sh` still contains a legacy step that tries to `git submodule update --init --recursive` for a `backend/gtfs` submodule — but the repo has no `.gitmodules` file and no `backend/gtfs` directory, so that step is a no-op today. The GTFS dependencies actually come from:
+
+    - **`gtfs-io`** and **`gtfs-django`** — cloned directly from GitHub (`simovilab/gtfs-io`, `simovilab/gtfs-django`) by `backend/docker-entrypoint.sh` the first time any backend container starts, then installed editable (`uv add --editable ./gtfs-io`, `./gtfs-django`) as part of Django setup on the `orchestrator` container (gated by `DJANGO_SETUP=True`). All four Python services share the resulting `backend_venv` volume.
+    - **`gtfs-eta`** — a sibling-repo path dependency, *not* cloned automatically. `backend/gtfs-eta` is a committed symlink to `../../gtfs-eta`, and `compose.dev.yml` bind-mounts `../gtfs-eta:/gtfs-eta` (read-write, since `uv sync`'s editable install writes a gitignored `.egg-info/` into the source tree) for `orchestrator`, `realtime-engine`, `schedule-engine`, and `scheduler`. You must have `simovilab/gtfs-eta` checked out as a sibling directory of `databus/` (i.e. `../gtfs-eta` relative to this repo) before `docker compose -f compose.dev.yml up` will build successfully. See `backend/pyproject.toml`'s `[tool.uv.sources]` comment for the full path-resolution rationale.
+
+    `compose.prod.yml` has no equivalent `gtfs-eta` bind mount yet — this is a known pre-release gap, not something resolved in the current compose files.
 
 ## Daily workflow
 
@@ -56,8 +64,11 @@ docker compose -f compose.dev.yml down
 
 All management commands run inside the `orchestrator` container:
 
+!!! note "Migrations are regenerated automatically at container start"
+    `backend/docker-entrypoint.sh` runs `manage.py makemigrations feed schedule_engine realtime_engine operations` (when `DEBUG` is true) followed by `manage.py migrate --noinput` every time the `orchestrator` container starts (gated by `DJANGO_SETUP=True`, which only `orchestrator` sets in both compose files). Migration directories are gitignored (`migrations/` in the root `.gitignore`) and regenerated from current models rather than committed — you normally don't need to run `makemigrations`/`migrate` by hand in dev; the commands below are for the cases where you do (e.g. re-running after editing models without restarting the container).
+
 ```bash
-# Migrations
+# Migrations (usually not needed — see note above)
 docker compose -f compose.dev.yml exec orchestrator uv run python manage.py makemigrations
 docker compose -f compose.dev.yml exec orchestrator uv run python manage.py migrate
 
@@ -89,7 +100,17 @@ docker compose -f compose.dev.yml exec orchestrator uv run python manage.py upda
 
 ## Code quality
 
-All quality tools run from `backend/`:
+The repository root has a `Makefile` with the three canonical entry points — use these unless you have a reason not to:
+
+```bash
+make lint       # ruff check . — runs locally against backend/, no Docker needed
+make typecheck  # mypy . — runs inside the orchestrator container (docker compose run --rm)
+make test       # pytest -q — runs inside the orchestrator container (docker compose run --rm)
+```
+
+`lint` runs locally because `ruff` doesn't import Django settings. `typecheck` and `test` run inside the `orchestrator` container because `mypy`'s `django-stubs` plugin (and `pytest-django`) import `databus.settings`, which reads env vars via `python-decouple` and fails outside the container. See the comments in the root `Makefile` for the full rationale.
+
+Equivalently, from `backend/` (matches what the Makefile invokes):
 
 ```bash
 cd backend
@@ -98,49 +119,51 @@ cd backend
 ruff check .
 ruff format .
 
-# Type checking
+# Type checking (inside the orchestrator container — see above)
 mypy .
 
-# Tests
+# Tests (inside the orchestrator container — see above)
 pytest
 pytest tests/ -v
 pytest tests/test_specific.py::test_function  # single test
 ```
 
+`ruff` enforces the `D1` (missing-docstring) rule family — every module, class, and function needs a docstring (see `[tool.ruff.lint]` in `backend/pyproject.toml`). `mypy` runs with `django-stubs` and `check_untyped_defs = false`. Both exclude `gtfs-eta` (the sibling repo's own lint/type baseline) and `migrations/` (gitignored, regenerated at container start — see above).
+
 ## Non-Docker (bare-metal) setup
 
 For situations where Docker is not available:
 
 ```bash
-# Create and activate virtual environment
-python -m venv .venv
-source .venv/bin/activate  # Linux / macOS
-
-# Install dependencies
-uv pip install -r backend/requirements.txt
-
 # Copy environment variables
 cp .env.example .env
 # Edit .env: set DB_HOST=localhost, REDIS_HOST=localhost, etc.
 
-# Run migrations
+# Install dependencies (creates backend/.venv from pyproject.toml + uv.lock —
+# there is no backend/requirements.txt in this project)
 cd backend
-python manage.py migrate
+uv sync
+
+# Run migrations
+uv run python manage.py migrate
 
 # Start workers separately (requires Redis, RabbitMQ, NanoMQ running locally)
 # Terminal 1: Django
-python manage.py runserver
+uv run python manage.py runserver
 
 # Terminal 2: realtime-engine Celery worker (with MQTT consumer)
-MQTT_CONSUMER_ENABLED=true celery -A databus worker -Q realtime_engine -l info
+MQTT_CONSUMER_ENABLED=true uv run celery -A databus worker -Q realtime_engine --loglevel=info
 
 # Terminal 3: schedule-engine Celery worker
-celery -A databus worker -Q schedule_engine -l info
+uv run celery -A databus worker -Q schedule_engine --loglevel=info
 
 # Terminal 4: Celery beat
-celery -A databus beat -l info
+uv run celery -A databus beat --loglevel=info
 ```
 
+!!! note "GTFS workspace members aren't fetched automatically outside Docker"
+    `backend/pyproject.toml` declares `gtfs-io` and `gtfs-django` as `[tool.uv.workspace]` members and `gtfs-eta` as an editable `[tool.uv.sources]` path dependency (`backend/gtfs-eta`). Inside Docker, `backend/docker-entrypoint.sh` clones `gtfs-io`/`gtfs-django` from GitHub automatically and `gtfs-eta` arrives via the `compose.dev.yml` bind mount (see the GTFS dependencies note above) — none of that automation runs bare-metal. For a bare-metal `uv sync` to succeed you need `backend/gtfs-io/` and `backend/gtfs-django/` cloned manually (`git clone https://github.com/simovilab/gtfs-io.git backend/gtfs-io`, same for `gtfs-django`) and a `gtfs-eta` checkout reachable at the path `backend/gtfs-eta` resolves to.
+
 !!! note "macOS GDAL/GEOS"
     PostGIS/GeoDjango on macOS requires GDAL and GEOS to be installed and discoverable. A common approach is `brew install gdal geos`. If Django raises `OSError: Could not find the GDAL library`, set `GDAL_LIBRARY_PATH` and `GEOS_LIBRARY_PATH` in your environment to point to the Homebrew lib paths (e.g. `/opt/homebrew/lib/libgdal.dylib`).
 
diff --git a/docs/content/operations/troubleshooting.md b/docs/content/operations/troubleshooting.md
index f40bb4e..467df45 100644
--- a/docs/content/operations/troubleshooting.md
+++ b/docs/content/operations/troubleshooting.md
@@ -144,7 +144,11 @@ GET run:<id>:stop_time_updates
 
 ## Stale run cleanup
 
-After stopping the simulator or during testing, Redis may hold state for runs that are no longer active. The `scripts/cleanup_redis.py` script (added in commit `18f9bde`) handles this.
+After stopping the simulator or during testing, Redis (and PostgreSQL) may hold state for runs that are no longer active. Two scripts handle this at different scopes; commit `18f9bde` (`chore(scripts): add run-state cleanup script and refresh Redis utilities`) added `backend/scripts/cleanup_runs.py` and refreshed `scripts/cleanup_redis.py` to the current Redis key schema.
+
+### `scripts/cleanup_redis.py` — Redis-only, age-based
+
+Removes stale vehicle data from Redis based on a data-age threshold. Does not touch PostgreSQL.
 
 ```bash
 # Dry run — see what would be deleted
@@ -177,6 +181,35 @@ run:*:stop_time_updates
 
 It does **not** delete `run:<id>` (the run hash), `runs:in_progress`, or `runs:tracking` — those are owned by the lifecycle layer and cleaned up by the run completion/cancellation actions.
 
+### `backend/scripts/cleanup_runs.py` — PostgreSQL + Redis, run-scoped
+
+A more complete reset: wipes run state from **both** PostgreSQL (`runs_run` and its cascade-deleted child tables — `runs_runlifecycletransition`, `runs_run_vehicle`, `runs_run_operator`) and Redis (`runs:tracking`/`runs:in_progress` set membership, `run:<id>` and its sub-keys, `vehicle:<id>:*` keys, and the `vehicle|operator|trip:<id>:current_run` assignment keys) so a dev box can start fresh without restarting any service.
+
+```bash
+docker compose -f compose.dev.yml exec -it orchestrator uv run scripts/cleanup_runs.py [options]
+```
+
+| Mode (mutually exclusive) | Effect |
+|---|---|
+| *(default)* | Delete all runs from DB + purge all run state from Redis. |
+| `--run <id>` | Delete one run by ID (DB + Redis). |
+| `--vehicle <id>` | Delete all runs for a vehicle (DB + Redis); also frees the vehicle's `current_run` key if it has no matching run. |
+| `--db-only` / `--redis-only` | Restrict to one store. |
+
+Other flags: `--telemetry` (also wipe `runs_position`/`runs_progression`/`runs_occupancy` rows), `--dry-run` (preview, touches nothing), `--yes` (skip the confirmation prompt), plus `--db-*`/`--redis-*` connection overrides. Full flag reference: `backend/scripts/README.md`.
+
+```bash
+# Preview only
+uv run scripts/cleanup_runs.py --dry-run
+
+# Full reset: wipe all runs from DB + Redis
+uv run scripts/cleanup_runs.py --yes
+
+# Clear one specific run / one vehicle's runs
+uv run scripts/cleanup_runs.py --run <uuid>
+uv run scripts/cleanup_runs.py --vehicle <vehicle_id>
+```
+
 ## GTFS-RT feeds not updating
 
 **Symptom:** `backend/feed/files/` is empty or files are not refreshing every 15 seconds.
@@ -225,6 +258,8 @@ To force immediate cleanup:
 2. Use `scripts/cleanup_redis.py --force-all` to clear the Redis entity hashes.
 3. Verify with `inspect_redis.py` that the run is gone from `runs:tracking` and `runs:in_progress`.
 
+For a single known run ID, `docker compose -f compose.dev.yml exec -it orchestrator uv run scripts/cleanup_runs.py --run <run_id>` is a faster alternative to steps 1–3 — it **deletes** the run row and its Redis keys outright (rather than cancelling and leaving the row), so use it only when you don't need to keep the run record. See [Stale run cleanup](#stale-run-cleanup) above.
+
 ## Common log messages
 
 | Message | Level | Meaning |

From b17b18bbded734f9f6e40be02121704bd86e9579 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Thu, 20 Aug 2026 02:38:35 -0600
Subject: [PATCH 54/68] docs(site): update architecture, concepts, and
 data-model sections against current code

---
 .../architecture/deployment-topology.md       |  4 +-
 docs/content/architecture/index.md            |  4 +-
 docs/content/architecture/messaging.md        | 46 ++++-----------
 docs/content/architecture/overview.md         |  5 +-
 docs/content/architecture/services.md         | 19 +++++--
 .../architecture/state-and-persistence.md     |  9 ++-
 docs/content/concepts/glossary.md             | 11 +++-
 docs/content/concepts/gtfs.md                 | 12 ++--
 docs/content/concepts/principles.md           | 20 +++++--
 docs/content/concepts/what-is-databus.md      |  2 +-
 docs/content/data-model/django-models.md      | 56 +++++++++++++------
 docs/content/data-model/redis-keys.md         | 35 ++++++++----
 docs/content/data-model/schedule-engine.md    |  7 ++-
 13 files changed, 139 insertions(+), 91 deletions(-)

diff --git a/docs/content/architecture/deployment-topology.md b/docs/content/architecture/deployment-topology.md
index 462ba35..c11827a 100644
--- a/docs/content/architecture/deployment-topology.md
+++ b/docs/content/architecture/deployment-topology.md
@@ -49,11 +49,13 @@ realtime_engine queue  →  realtime-engine worker
   - process_position_update
   - run_lifecycle_event
   - scan_stale_runs
+  - fetch_positions
 
 schedule_engine queue  →  schedule-engine worker
   - build_vehicle_positions
   - build_trip_updates
-  - build_alerts
+  - build_schedule
+  - build_alerts   (routed here if ever called, but not in the beat schedule — see services.md)
 ```
 
 Tasks are routed by the `queue=` argument on the `@shared_task` decorator in the respective `tasks.py` modules.
diff --git a/docs/content/architecture/index.md b/docs/content/architecture/index.md
index d94ebd7..0859a4f 100644
--- a/docs/content/architecture/index.md
+++ b/docs/content/architecture/index.md
@@ -31,11 +31,11 @@ flowchart TD
 
     subgraph realtime_worker["realtime-engine (Celery worker)"]
         mqtt_bootstep[MQTT bootstep]
-        re_tasks[process_position_update\nrun_lifecycle_event\nscan_stale_runs]
+        re_tasks[process_position_update\nrun_lifecycle_event\nscan_stale_runs\nfetch_positions]
     end
 
     subgraph schedule_worker["schedule-engine (Celery worker)"]
-        se_tasks[build_vehicle_positions\nbuild_trip_updates\nbuild_alerts]
+        se_tasks[build_vehicle_positions\nbuild_trip_updates\nbuild_schedule]
     end
 
     scheduler_node(("scheduler\n(Celery Beat)"))
diff --git a/docs/content/architecture/messaging.md b/docs/content/architecture/messaging.md
index 416d9cf..80bcf26 100644
--- a/docs/content/architecture/messaging.md
+++ b/docs/content/architecture/messaging.md
@@ -20,39 +20,15 @@ See [../runs/commands-vs-detections.md](../runs/commands-vs-detections.md) for a
 
 ## AMQP layout
 
-The designed exchange topology is:
+The publisher module `backend/messages/publisher.py` is fully implemented — not a stub. It is called from a single seam, `RunLifecycleService._publish_run_lifecycle_transition` (`backend/runs/services/lifecycle.py`), immediately after every successful FSM transition except `run_requested` (that event enters `Requested` at record creation, outside `process_event`).
 
-- **Exchange:** `databus.events` (type: `direct`)
-- **Routing key namespace:** `runs.*`
+- **Exchange:** `databus.events` — a durable **topic** exchange (not `direct`).
+- **Routing key:** `runs.lifecycle.<event>`, where `<event>` is the lowercased `.value` of the `RunLifecycleEvents` member for the transition that just completed (`routing_key_for`, `publisher.py`) — e.g. `runs.lifecycle.run_confirmed_by_operator`.
+- **Binding:** subscribers interested in every run lifecycle event bind `runs.lifecycle.#`.
+- **Envelope:** a versioned JSON body — `event`, `version`, `occurred_at`, `producer`, `run_id`, `from_state`, `to_state`, `data` (`build_envelope`, `publisher.py`). `from_state`/`to_state` carry the FSM's display-style values (e.g. `"Initialized"`, `"Confirmed"`), not upper-snake enum member names.
+- **Delivery:** fire-and-forget. Publishing goes through kombu's connection pool with a small bounded retry (`max_retries=2`), but there are no publisher confirms — any broker/connection error is caught, logged, and dropped. This is deliberate: telemetry and lifecycle processing must never block or fail because RabbitMQ is unavailable. The durable audit trail is `GET /api/runs/<id>/history/`, not the AMQP stream.
 
-Routing keys sketched in `backend/messages/publisher.py`:
-
-```
-runs.submission.requested
-runs.submission.succeeded
-runs.submission.failed
-runs.validation.succeeded
-runs.validation.failed
-runs.initialization.succeeded
-runs.initialization.failed
-```
-
-Subscribers interested in all run events bind with `runs.*`.
-
-## Implementation status
-
-!!! warning "AMQP publisher is a stub"
-    The publisher module at `backend/messages/publisher.py` is **not yet wired**. The `publish_event` function currently only prints to stdout:
-
-    ```python
-    def publish_event(name: str, data: dict):
-        """Publish an event to the databus.events exchange."""
-        print(f"Printing event {name} with data: {data}")
-    ```
-
-    The `Connection`, `Exchange`, and `Producer` objects are instantiated at module import but `publish_event` does not use them. Domain event emission via AMQP is designed and the routing-key namespace is settled, but the actual publish call and delivery guarantees are not yet implemented.
-
-    Celery task routing (the RabbitMQ backbone that drives `realtime-engine` and `schedule-engine`) is fully operational and unaffected by this stub. The stub only concerns application-level domain events that other systems might subscribe to.
+Full contract details (the complete routing-key table, envelope field reference, sequence diagram, and integration guidance for consumers) live on [Interfaces › AMQP event semantics](../interfaces/amqp-events.md). This page stays at the architectural level; that page is the authoritative reference.
 
 ## Current inter-service communication
 
@@ -61,12 +37,14 @@ In the current implementation, inter-service coordination happens via:
 1. **Celery tasks over RabbitMQ** — `scheduler` fires beat tasks; `realtime-engine` and `schedule-engine` consume them. This is the primary coordination mechanism and is fully operational.
 2. **Redis** — `realtime-engine` writes state; `schedule-engine` reads snapshots. No pub/sub; pure key-value reads.
 3. **Django ORM (PostgreSQL)** — `orchestrator` persists domain records; `realtime-engine` reads run metadata during lifecycle service calls.
-
-The AMQP domain event layer (`databus.events` exchange) sits alongside this and will emit structured domain events for external subscribers once the stub is replaced.
+4. **AMQP domain events** (`databus.events` topic exchange) — live, not designed-but-pending. Every run lifecycle transition is broadcast fire-and-forget for external subscribers, alongside (not instead of) the three mechanisms above.
 
 ## Message envelope
 
-All internal messages share a common envelope that includes correlation metadata (run_id, vehicle_id, actor_role, last_seen_at). The Celery payload dict is the current concrete form of this envelope — see `backend/runs/domain/detection/dispatch.py` for how the dispatcher assembles it.
+Two distinct "envelope" concepts exist in the system — don't conflate them:
+
+- **AMQP domain-event envelope** — the JSON body described under [AMQP layout](#amqp-layout) above, built by `build_envelope` in `backend/messages/publisher.py`. See [Interfaces › AMQP event semantics](../interfaces/amqp-events.md) for the full field reference.
+- **Celery task payload** — the internal dict passed between the detection layer and `run_lifecycle_event`, carrying correlation metadata (`run_id`, `vehicle_id`, `actor_role`, `last_seen_at`). This is not published anywhere external; it only exists for the duration of one Celery task dispatch. See `backend/runs/domain/detection/dispatch.py` for how the dispatcher assembles it.
 
 ## External telemetry
 
diff --git a/docs/content/architecture/overview.md b/docs/content/architecture/overview.md
index 8b95525..2fbebb5 100644
--- a/docs/content/architecture/overview.md
+++ b/docs/content/architecture/overview.md
@@ -23,12 +23,13 @@ External signals enter the platform at two surfaces:
 
 - **REST API** — the `api` Django app accepts operator commands (create-run, confirm, complete, interrupt, short-turn). Authenticated via DRF token auth.
 - **MQTT telemetry** — vehicles publish GPS and occupancy to the `telemetry-broker` (NanoMQ) on topics of the form `transit/vehicle/<id>/{position,occupancy}`. The `realtime-engine` Celery worker picks these up via its embedded MQTT bootstep.
+- **HTTP telemetry (polled)** — some vehicles are only reachable via a third-party HTTP+JSON endpoint rather than native MQTT. The `fetch_positions` beat task (every 10 s) polls ACTIVE `operations.Sensor` rows configured for HTTP, then republishes the readings onto the same `transit/vehicle/<id>/position` MQTT topic — so from the MQTT bootstep's point of view, HTTP-sourced and natively-MQTT vehicles are indistinguishable.
 
 ### Processing
 
 The `realtime-engine` worker converts raw telemetry into domain state:
 
-1. Parses and validates each MQTT message.
+1. Parses and validates each MQTT message (whether device-originated or bridged in by `fetch_positions`).
 2. Writes the telemetry leaf to Redis (`vehicle:<id>:position` or `:occupancy`).
 3. Enqueues `process_position_update` as a Celery task, which runs server-side map-matching and detection off the paho network thread.
 4. Fires lifecycle events (`run_tracking_started`, `run_started`, `run_completed`, …) via `run_lifecycle_event` tasks.
@@ -39,7 +40,7 @@ Redis (`state` service) holds the **authoritative real-time picture** of every a
 
 ### Projection
 
-Every 15 seconds the `scheduler` fires `build_vehicle_positions` and `build_trip_updates` on the `schedule-engine` worker. That worker reads the Redis snapshot, converts it to protobuf and JSON, and writes GTFS-RT files to `backend/feed/files/`. Alerts are rebuilt every 10 seconds (currently a stub returning an empty feed). See [../data-flow/gtfs-rt-publishing.md](../data-flow/gtfs-rt-publishing.md).
+Every 15 seconds the `scheduler` fires `build_vehicle_positions` and `build_trip_updates` on the `schedule-engine` worker. That worker reads the Redis snapshot, converts it to protobuf and JSON, and writes GTFS-RT files to `backend/feed/files/`. A `build_alerts` task exists but is a stub (returns a placeholder string, writes no feed file) and is **not** registered in the beat schedule — it is not currently fired periodically. Separately, `build_schedule` runs once a day to export the current GTFS Schedule zip. See [../data-flow/gtfs-rt-publishing.md](../data-flow/gtfs-rt-publishing.md).
 
 ### Persistence
 
diff --git a/docs/content/architecture/services.md b/docs/content/architecture/services.md
index 421064d..9c4e489 100644
--- a/docs/content/architecture/services.md
+++ b/docs/content/architecture/services.md
@@ -25,7 +25,7 @@ Every Databús component has exactly one role and a hard "Does NOT" boundary. Th
 - `feed` — GTFS data models (Agency, Route, Trip, Stop, StopTime, Shape, Calendar).
 - `operations` — Vehicle and operator models.
 - `website` — UI-facing views.
-- `messages` — AMQP event publisher (see caveat below).
+- `messages` — AMQP domain-event publisher. Not registered in `INSTALLED_APPS` (no `apps.py`, no models) — it is a plain module (`backend/messages/publisher.py`) imported directly by `runs.services.lifecycle.RunLifecycleService`. Fully implemented (durable topic exchange, JSON envelope); see [Messaging model](messaging.md).
 - `gtfs` — GTFS submodule.
 
 **Responsibilities:**
@@ -69,6 +69,7 @@ Every Databús component has exactly one role and a hard "Does NOT" boundary. Th
     4. Re-reads the latest position from Redis and runs position-leaf detection (`RunStartedDetector`, etc.).
 - Processes `run_lifecycle_event(event, payload)` tasks — these call `RunLifecycleService.process_event` which executes FSM guards and actions.
 - Runs `scan_stale_runs` every 30 seconds (scheduled by the `scheduler`) to detect telemetry silence.
+- Runs `fetch_positions` every 10 seconds (scheduled by the `scheduler`) to poll HTTP telemetry sources: it builds the in-service vehicle-id set from `vehicle:<id>:current_run` keys, queries ACTIVE `operations.Sensor` rows with `source_type` `http`/`both` and `provides_position=True`, fetches each remaining sensor via the registered `"http"` adapter (`realtime_engine/sources/http_json.py`), keeps only readings for in-service vehicles, and republishes the survivors onto `transit/vehicle/<id>/position` via `realtime_engine/sources/publisher.py::MqttPublisher`. This re-enters the same NanoMQ topic the MQTT bootstep subscribes to — `fetch_positions` is an HTTP→MQTT bridge, not a separate ingestion path. A `soft_time_limit=25` bounds a single pathological source; the beat entry itself carries `expires=10` so a stale run is revoked rather than queued behind a slow source.
 
 **Does NOT:**
 
@@ -82,6 +83,7 @@ Every Databús component has exactly one role and a hard "Does NOT" boundary. Th
 - `process_position_update(run_id, vehicle_id)`
 - `run_lifecycle_event(event, payload)`
 - `scan_stale_runs()`
+- `fetch_positions()`
 
 ---
 
@@ -96,9 +98,10 @@ Every Databús component has exactly one role and a hard "Does NOT" boundary. Th
 **Responsibilities:**
 
 - Reads Redis snapshots of active runs and vehicles.
-- Builds GTFS-RT protobuf and JSON outputs for VehiclePositions, TripUpdates, and Alerts.
-- Writes output files to `backend/feed/files/` (`vehicle_positions.{pb,json}`, `trip_updates.{pb,json}`, `alerts.{pb,json}`).
+- Builds GTFS-RT protobuf and JSON outputs for VehiclePositions and TripUpdates.
+- Writes output files to `backend/feed/files/` (`vehicle_positions.{pb,json}`, `trip_updates.{pb,json}`).
 - Pushes a WebSocket `"status"` group message via Django Channels after each `build_trip_updates` call.
+- Exports the current GTFS Schedule zip daily via `build_schedule()`, which publishes it under `backend/feed/files/` through `feed.schedule.exporter.publish_gtfs_zip`.
 
 **Does NOT:**
 
@@ -111,7 +114,8 @@ Every Databús component has exactly one role and a hard "Does NOT" boundary. Th
 **Key tasks** (`backend/schedule_engine/tasks.py`):
 - `build_vehicle_positions()` — every 15 s
 - `build_trip_updates()` — every 15 s
-- `build_alerts()` — every 10 s (currently stub: returns `"Feed ServiceAlert built"`)
+- `build_schedule()` — daily
+- `build_alerts()` — defined but **not registered in the Celery beat schedule** (see its own docstring: "Deliberately NOT registered in the Celery beat schedule"). It is routed to the `schedule_engine` queue if invoked, and currently just returns the placeholder string `"Feed ServiceAlert built"` without writing a feed file.
 
 !!! note "AGENTS.md calls this the 'Publisher'"
     `ARCHITECTURE.md §5` and `AGENTS.md` describe a separate "Publisher" service. In the actual code the projection role is fulfilled by `schedule_engine` running inside the `schedule-engine` Celery worker. There is no standalone publisher process.
@@ -134,8 +138,11 @@ Every Databús component has exactly one role and a hard "Does NOT" boundary. Th
 |---|---|
 | `schedule_engine.tasks.build_vehicle_positions` | every 15 s |
 | `schedule_engine.tasks.build_trip_updates` | every 15 s |
-| `schedule_engine.tasks.build_alerts` | every 10 s |
 | `realtime_engine.tasks.scan_stale_runs` | every 30 s |
+| `realtime_engine.tasks.fetch_positions` | every 10 s (`expires=10`) |
+| `schedule_engine.tasks.build_schedule` | daily |
+
+`schedule_engine.tasks.build_alerts` is **not** in this schedule — it is a stub task, callable but never fired by beat.
 
 !!! note "Beat schedule is in code, not admin"
     `AGENTS.md` states that the beat schedule is managed via `django_celery_beat` in the admin UI. This is incorrect. The schedule is hardcoded in `app.conf.beat_schedule` in `backend/databus/celery.py` and requires a code change to modify.
@@ -193,7 +200,7 @@ In production, Traefik terminates TLS on port 8883 and forwards plain MQTT to Na
 
 **Primary use:** Celery task routing between `scheduler`, `realtime-engine`, and `schedule-engine`.
 
-**Designed use (not yet implemented):** AMQP domain events on exchange `databus.events`. See [messaging.md](messaging.md).
+**Also carries:** AMQP domain events on the durable topic exchange `databus.events` — live, published by `backend/messages/publisher.py` on every run lifecycle transition. See [messaging.md](messaging.md).
 
 ---
 
diff --git a/docs/content/architecture/state-and-persistence.md b/docs/content/architecture/state-and-persistence.md
index f137c84..2e8f2bf 100644
--- a/docs/content/architecture/state-and-persistence.md
+++ b/docs/content/architecture/state-and-persistence.md
@@ -58,16 +58,19 @@ runs:*              — index sets and timestamps (realtime-engine)
 | `run:<id>:trip` | Hash | `trip_id`, `route_id`, `direction_id?`, `schedule_relationship?`, `start_time?`, `start_date?` | `update_system_state` action |
 | `run:<id>:vehicle_stop_status` | Hash | `current_status`, `current_stop_sequence?`, `stop_id?` | `produce_stop_status` (progression producer) |
 | `run:<id>:congestion_level` | Hash | `congestion_level` | Producer TBD |
-| `run:<id>:stop_time_updates` | String (JSON) | JSON array of stop-time-update entries | `produce_stop_times` |
+| `run:<id>:stop_time_updates` | String (JSON) | JSON array of stop-time-update entries | `produce_stop_times` (60 s staleness TTL) |
 
 #### Index and timestamp keys
 
 | Key | Type | Purpose | Writer |
 |---|---|---|---|
-| `runs:tracking` | Set | Run IDs currently being tracked (scope for stale scan) | `add_to_tracking_set` / `remove_from_tracking_set` actions |
-| `runs:in_progress` | Set | Run IDs in the IN_PROGRESS state | `add_to_in_progress_set` / `remove_from_in_progress_set` actions |
+| `runs:tracking` | Set | Scan work queue for `scan_stale_runs`, not a state flag (see note below) | `add_to_tracking_set` / `remove_from_tracking_set` actions |
+| `runs:in_progress` | Set | Run IDs in `In Progress` **or** `No Signal` state (see note below) | `add_to_in_progress_set` / `remove_from_in_progress_set` actions |
 | `runs:last_seen:<id>` | String | ISO-8601 timestamp of last telemetry | MQTT consumer |
 
+!!! note "`runs:tracking` and `runs:in_progress` both outlive `run_tracking_lost`"
+    The `IN_PROGRESS → NO_SIGNAL` transition (`run_tracking_lost`, `backend/runs/domain/lifecycle/transitions.py`) only runs `sync_lifecycle_state` — it does **not** call `remove_from_tracking_set` or `remove_from_in_progress_set`. A `No Signal` run therefore stays in both sets until it reaches a fully-terminal outcome: `run_tracking_expired` (→ Cancelled), `run_interrupted`, `run_short_turned`, or `run_completed`, all of which do remove it from both. This is deliberate — the code comment on the transition calls `runs:tracking` "the work queue, not a status flag": staying in the set is what lets `scan_stale_runs` later fire `run_tracking_expired` for that same run. One consequence: the GTFS-RT feed builders, which iterate `runs:in_progress`, will still emit an entity for a `No Signal` run (using its last-written Redis snapshot) until it is removed by one of the terminal transitions above.
+
 !!! note "stop_time_updates is a string, not a hash"
     `run:<id>:stop_time_updates` is a Redis **string** key holding a JSON-encoded array, not a hash. It is written with a staleness TTL so a stalled producer lets it expire cleanly rather than serving stale arrival estimates. The GTFS-RT builder treats a missing or empty value as "skip stop_time_update entries."
 
diff --git a/docs/content/concepts/glossary.md b/docs/content/concepts/glossary.md
index b646851..f0f56c6 100644
--- a/docs/content/concepts/glossary.md
+++ b/docs/content/concepts/glossary.md
@@ -83,7 +83,9 @@ A message produced by the realtime-engine when it detects a meaningful state
 change from telemetry — e.g., `run_tracking_started` or `run_completed`. In
 the ARCHITECTURE.md messaging model, observations are "derived facts" emitted
 by the engine and consumed by the orchestrator. The AMQP event publisher
-(`backend/messages/publisher.py`) is the intended transport.
+(`backend/messages/publisher.py`) is now live and carries these: every FSM
+transition (whether command- or detection-triggered) is broadcast on the
+`databus.events` topic exchange.
 
 See [Interfaces › AMQP event semantics](../interfaces/amqp-events.md).
 
@@ -105,7 +107,12 @@ the lifecycle. See [Run lifecycle › Commands vs detected facts](../runs/comman
 
 A message type in the ARCHITECTURE.md model: a claim by the schedule-engine
 about the published GTFS-RT output (e.g., "VehiclePositions feed written with
-N entities"). Currently not emitted (the publisher is a stub).
+N entities"). Not currently emitted as an AMQP message — the publisher
+(`backend/messages/publisher.py`) is fully implemented but is only called from
+the run lifecycle service (see [Observation](#observation)), not from
+`schedule_engine`. The closest existing analog is the WebSocket `"status"`
+group message `build_trip_updates` pushes via Django Channels after each
+build.
 
 ---
 
diff --git a/docs/content/concepts/gtfs.md b/docs/content/concepts/gtfs.md
index c573b3e..de830bf 100644
--- a/docs/content/concepts/gtfs.md
+++ b/docs/content/concepts/gtfs.md
@@ -89,11 +89,13 @@ Output file: `backend/feed/files/trip_updates.{pb,json}` — refreshed every 15
 ## Feed assembly
 
 Both feeds are assembled by the `schedule_engine` app. The beat fires
-`build_vehicle_positions` and `build_trip_updates` every 15 seconds, and
-`build_alerts` every 10 seconds. The builders read the Redis snapshot via
-the telemetry contract `from_redis` helpers, assemble a Python dict in GTFS-RT
-shape, convert it with `json_format.ParseDict`, and write both `.json` and
-`.pb` variants to `backend/feed/files/`.
+`build_vehicle_positions` and `build_trip_updates` every 15 seconds (`build_alerts`
+is a stub and is not on the beat schedule — see the warning above). The builders
+read the Redis snapshot via the telemetry contract `from_redis` helpers, assemble
+a Python dict in GTFS-RT shape, convert it with `json_format.ParseDict`, and write
+both `.json` and `.pb` variants to `backend/feed/files/`. Separately, a daily
+`build_schedule` task exports the current GTFS Schedule zip via
+`feed.schedule.exporter.publish_gtfs_zip`.
 
 See [Data flow › GTFS Realtime publishing](../data-flow/gtfs-rt-publishing.md)
 for the full pipeline and
diff --git a/docs/content/concepts/principles.md b/docs/content/concepts/principles.md
index cd69249..bc95a97 100644
--- a/docs/content/concepts/principles.md
+++ b/docs/content/concepts/principles.md
@@ -80,14 +80,26 @@ possible.
 
 Meaningful derived facts are preserved; raw signals are transient.
 
-Raw GPS pings are not persisted individually. What is persisted is:
+Raw GPS pings are not persisted individually. What is actually persisted
+today is:
 
 - The `RunLifecycleTransition` record for every FSM state change (with event,
-  from-state, to-state, guards, actions, and timestamp).
-- The `RunProgressEvent` record for stop-arrival events.
+  from-state, to-state, guards, actions, and timestamp) — this is the one
+  table with a live writer (`RunLifecycleService`).
 - GTFS-RT feed blobs (retained approximately one year) as durable snapshots of
   what was published.
-- Position and occupancy records for historical analysis.
+
+`backend/runs/models.py` also defines `Position`, `VehicleStopStatus`,
+`CongestionLevel`, and `OccupancyStatus` tables intended for historical
+position/occupancy analysis, but no current code path writes to them (the
+`Position.objects.create(...)` call in the API serializer is commented out) —
+treat them as reserved schema, not an active audit trail, until a producer
+exists.
+
+!!! note "`RunProgressEvent` does not exist in current code"
+    Earlier docs and the single checked-in migration (`runs/migrations/0001_initial.py`)
+    reference a `RunProgressEvent` model. It is not defined in the current
+    `backend/runs/models.py` — do not rely on it.
 
 This keeps the database size manageable and keeps the audit trail focused on
 what the system concluded, not every raw byte it received.
diff --git a/docs/content/concepts/what-is-databus.md b/docs/content/concepts/what-is-databus.md
index 5a597f2..905d2cc 100644
--- a/docs/content/concepts/what-is-databus.md
+++ b/docs/content/concepts/what-is-databus.md
@@ -41,7 +41,7 @@ Vehicle (GPS + occupancy)
    `trip_updates.pb` — refreshed every 15 seconds, written to
    `backend/feed/files/`.
 4. **Manages** run lifecycle: from a dispatcher creating a run
-   (`POST /api/create-run`) through detection of tracking, motion,
+   (`POST /api/create-run/`) through detection of tracking, motion,
    completion, and eventual expiry.
 5. **Persists** durable operational traces in PostgreSQL (with PostGIS for
    geospatial queries) for auditing and analytics.
diff --git a/docs/content/data-model/django-models.md b/docs/content/data-model/django-models.md
index b076018..2702df1 100644
--- a/docs/content/data-model/django-models.md
+++ b/docs/content/data-model/django-models.md
@@ -58,25 +58,24 @@ Indexed on `(run, timestamp)` and `event_name`.
 The `GET /api/runs/<id>/history/` endpoint returns this log ordered by
 `(timestamp, created_at)`.
 
-### `RunProgressEvent`
-
-Records stop-level progress events (vehicle arrived at stop, departed, etc.)
-for analytics.
-
-| Field | Notes |
-| --- | --- |
-| `run` | ForeignKey to `Run` |
-| `event_type` | String event type |
-| `stop_id` | GTFS stop_id (nullable) |
-| `payload` | JSONField |
-| `timestamp` | Event time |
+!!! note "`RunProgressEvent` does not exist in current code"
+    The single checked-in migration (`runs/migrations/0001_initial.py`)
+    defines a `RunProgressEvent` model, but it is **not** present in the
+    current `backend/runs/models.py`. Do not document or rely on it — the
+    model file is the source of truth, not the migration.
 
 ### `Position`, `VehicleStopStatus`, `CongestionLevel`, `OccupancyStatus`
 
-Normalized GTFS-RT entity records for durable persistence and analytics.
-Written by the realtime-engine after processing. These are separate from the
-Redis keys — Redis holds the *live* snapshot; these models hold the
-*historical trace*.
+Normalized GTFS-RT entity tables intended for durable persistence and
+analytics, separate from the Redis keys (Redis holds the *live* snapshot;
+these models would hold the *historical trace*). All four are defined in
+`backend/runs/models.py` and exposed read-only-in-practice through DRF
+ViewSets in `backend/api/views.py`, but **no current code path writes rows
+into them** — a repo-wide search finds no `.objects.create(...)` call for any
+of the four, and the one write path that exists,
+`Position.objects.create(...)` in `api/serializers.py`, is commented out.
+Treat these as reserved schema until a producer is implemented, not as an
+active audit trail.
 
 ---
 
@@ -121,7 +120,30 @@ A physical vehicle that can be assigned to a run.
 ### `DataProvider`, `Equipment`, `EquipmentLog`
 
 Support models for on-board equipment registration and telemetry source
-tracking.
+tracking. `Equipment.save()` appends an immutable snapshot to `EquipmentLog`
+on every save.
+
+### `Sensor`
+
+A logical telemetry feed (of one or more data types) registered on a piece of
+`Equipment`. Most fields are nullable — code that reads a `Sensor` guards
+against `equipment`, `equipment.vehicle`, and the `source_*` fields all being
+absent.
+
+| Field | Notes |
+| --- | --- |
+| `id` | UUID primary key |
+| `equipment` | ForeignKey to `Equipment` (nullable) |
+| `provides_position`, `provides_occupancy`, `provides_vehicle`, … | Booleans flagging which data types this sensor supplies |
+| `source_type` | `mqtt` / `http` / `both` (nullable) |
+| `source_http_url` | URL polled by the `"http"` adapter when `source_type` is `http` or `both` |
+| `source_json_mapping` | JSONField describing how to extract `lat`/`lon`/`speed`/`odometer`/`timestamp`/`vehicle_id` from the endpoint's response |
+| `status` | `ACTIVE` / `INACTIVE` |
+
+`realtime_engine.tasks.fetch_positions` (every 10 s) queries `ACTIVE` sensors
+with `provides_position=True` and `source_type` in `["http", "both"]`, fetches
+each via `realtime_engine/sources/http_json.py`, and republishes readings for
+in-service vehicles onto MQTT. See [Architecture › Services & mandates](../architecture/services.md#realtime-engine).
 
 ---
 
diff --git a/docs/content/data-model/redis-keys.md b/docs/content/data-model/redis-keys.md
index 7e5ad51..e649283 100644
--- a/docs/content/data-model/redis-keys.md
+++ b/docs/content/data-model/redis-keys.md
@@ -237,7 +237,7 @@ stop. See [Run lifecycle › Detection layer](../runs/detection.md).
 | Function | `keys.stop_time_updates_key(run_id)` |
 | Writer | Stop-times producer (`runs/domain/progression/stop_times.py`) |
 | Reader | `schedule_engine/builders.py::build_trip_update_entity` |
-| TTL | Staleness TTL (set by producer; absent key = skip stop_time_update in feed) |
+| TTL | 60 s (`STOP_TIME_UPDATES_TTL_S` in `runs/domain/progression/stop_times.py`); absent key = skip stop_time_update in feed |
 
 !!! warning "Not a hash"
     This key is a Redis **string** holding a JSON-encoded array. Do not
@@ -285,8 +285,13 @@ Holds an ISO-8601 timestamp of the last telemetry received for this run.
 Written synchronously (not via the Celery task queue) so staleness detection
 is never delayed by queue latency.
 
-Used by `scan_stale_runs` to trigger `run_tracking_lost` (> 60 s staleness
-while `IN_PROGRESS`) and `run_tracking_expired` (> 300 s while `NO_SIGNAL`).
+Used by `scan_stale_runs` to trigger `run_tracking_lost` (staleness beyond
+`TELEMETRY_GRACE_S` = 60 s while `IN_PROGRESS`) and `run_tracking_expired`
+(staleness beyond `TELEMETRY_EXPIRY_S` = 600 s while `NO_SIGNAL`). Both
+constants live in `runs/domain/detection/thresholds.py` — the module's own
+docstring notes these two values previously disagreed between
+`realtime_engine/tasks.py` (300 s) and `runs/domain/lifecycle/guards.py`
+(600 s) and were consolidated to this single source of truth at 600 s.
 
 ---
 
@@ -295,13 +300,17 @@ while `IN_PROGRESS`) and `run_tracking_expired` (> 300 s while `NO_SIGNAL`).
 | Attribute | Value |
 | --- | --- |
 | Redis type | Set |
-| Writer | Lifecycle action |
+| Writer | Lifecycle actions `add_to_tracking_set` / `remove_from_tracking_set` (`runs/domain/lifecycle/actions.py`) |
 | Reader | `scan_stale_runs`, `RunTrackingStartedDetector` |
 | TTL | None |
 
-Set of `run_id` values for runs that have started receiving telemetry
-(i.e., have reached `Tracking` state or beyond). Used as the scan target for
-stale-run detection.
+Set of `run_id` values for runs that have started receiving telemetry (added
+on `Confirmed → Tracking`, `run_tracking_started`). This is the **scan work
+queue** for `scan_stale_runs`, not a live status flag: entering `No Signal`
+(`run_tracking_lost`) does **not** remove the run — the transition's action
+list is only `sync_lifecycle_state` (`runs/domain/lifecycle/transitions.py`).
+A run is removed only on a fully-terminal outcome: `run_tracking_expired`,
+`run_interrupted`, `run_short_turned`, or `run_completed`.
 
 ---
 
@@ -310,13 +319,17 @@ stale-run detection.
 | Attribute | Value |
 | --- | --- |
 | Redis type | Set |
-| Writer | Lifecycle action |
+| Writer | Lifecycle actions `add_to_in_progress_set` / `remove_from_in_progress_set` (`runs/domain/lifecycle/actions.py`) |
 | Reader | Feed builders (`build_vehicle_positions_feed`, `build_trip_updates_feed`) |
 | TTL | None |
 
-Set of `run_id` values for runs currently in `In Progress` state. The feed
-builders iterate this set to determine which runs to include in the GTFS-RT
-output.
+Set of `run_id` values for runs in `In Progress` **or** `No Signal` state —
+not `In Progress` alone. Same reasoning as `runs:tracking` above:
+`run_tracking_lost` (`In Progress → No Signal`) does not call
+`remove_from_in_progress_set`, so the run stays in the set until a terminal
+transition removes it. The feed builders iterate this set to determine which
+runs to include in the GTFS-RT output, so a `No Signal` run's last-written
+Redis snapshot keeps appearing in the feed until it is removed.
 
 ---
 
diff --git a/docs/content/data-model/schedule-engine.md b/docs/content/data-model/schedule-engine.md
index 724f583..f7ec3f7 100644
--- a/docs/content/data-model/schedule-engine.md
+++ b/docs/content/data-model/schedule-engine.md
@@ -81,14 +81,15 @@ Key constants:
 
 ## Celery tasks
 
-`backend/schedule_engine/tasks.py` contains the four periodic Celery tasks on
-the `schedule_engine` queue:
+`backend/schedule_engine/tasks.py` contains four Celery tasks routed to the
+`schedule_engine` queue; three of them are on the beat schedule:
 
 | Task | Schedule | Notes |
 | --- | --- | --- |
 | `build_vehicle_positions` | Every 15 s | Writes `vehicle_positions.{pb,json}` |
 | `build_trip_updates` | Every 15 s | Writes `trip_updates.{pb,json}` + pushes WebSocket heartbeat |
-| `build_alerts` | Every 10 s | **Stub** — returns `"Feed ServiceAlert built"` |
+| `build_schedule` | Daily | Exports the current GTFS Schedule zip via `feed.schedule.exporter.publish_gtfs_zip` |
+| `build_alerts` | **Not scheduled** | **Stub** — returns the placeholder string `"Feed ServiceAlert built"`, writes no feed file. Its own docstring notes it is "Deliberately NOT registered in the Celery beat schedule." Callable directly (routed to `schedule_engine`), but beat never fires it. |
 
 The schedule is configured in `backend/databus/celery.py` via `app.conf.beat_schedule`
 and **not** in `django_celery_beat` admin (despite what `AGENTS.md` states).

From 4228091cd78a6d26c53b39ca79cf9eb6c8b4b563 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Thu, 20 Aug 2026 02:38:45 -0600
Subject: [PATCH 55/68] docs(site): set production site_url

---
 docs/zensical.toml | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/docs/zensical.toml b/docs/zensical.toml
index 8f11130..8910547 100644
--- a/docs/zensical.toml
+++ b/docs/zensical.toml
@@ -35,10 +35,7 @@ edit_uri = "edit/main/docs/content/"
 # The site_url is the canonical URL for your site. When building online
 # documentation you should set this.
 # Read more: https://zensical.org/docs/setup/basics/#site_url
-#
-# TODO: set to the production docs host. In prod this is the `DOCS_DOMAIN`
-# Traefik env var (compose.prod.yml). Confirm the exact host with the team, e.g.:
-#site_url = "https://docs.databus.cr/"
+site_url = "https://databus.simovilab.org/"
 
 # The copyright notice appears in the page footer and can contain an HTML
 # fragment.

From f3595ae17a156cbf2154eb9c0674ff62ffd215ce Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Thu, 20 Aug 2026 02:39:03 -0600
Subject: [PATCH 56/68] docs(messages): fix envelope example to use real state
 values

---
 backend/messages/README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/backend/messages/README.md b/backend/messages/README.md
index 99ddbf2..71146f8 100644
--- a/backend/messages/README.md
+++ b/backend/messages/README.md
@@ -30,8 +30,8 @@
   "occurred_at": "2026-08-19T00:00:00+00:00",
   "producer": "databus",
   "run_id": "<run uuid, stringified>",
-  "from_state": "INITIALIZED",
-  "to_state": "CONFIRMED",
+  "from_state": "Initialized",
+  "to_state": "Confirmed",
   "data": { "vehicle_id": "...", "trip_id": "...", "route_id": "..." }
 }
 ```

From efe6aba2178e135a7180dcf09e8aac394c203226 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Thu, 20 Aug 2026 02:40:08 -0600
Subject: [PATCH 57/68] docs(messages): drop stale docs-drift note

---
 backend/messages/README.md | 10 ++++------
 1 file changed, 4 insertions(+), 6 deletions(-)

diff --git a/backend/messages/README.md b/backend/messages/README.md
index 71146f8..84005d3 100644
--- a/backend/messages/README.md
+++ b/backend/messages/README.md
@@ -69,10 +69,8 @@ docker compose -f compose.dev.yml run --rm orchestrator uv run pytest messages/
 publish-with-mocked-pool happy path, error-swallowing on connection/publish failures, and lazy
 connection caching. `make test` runs the full suite.
 
-## Note on docs drift
+## See also
 
-`docs/content/interfaces/amqp-events.md` currently describes this publisher as an unwired stub
-(direct exchange, `print()` instead of `producer.publish()`, different routing-key namespace). That
-page is stale — the code in this app is fully implemented as described above (topic exchange,
-`runs.lifecycle.*` routing keys, real `producer.publish()` via kombu's pool). Worth a doc refresh,
-out of scope for this README.
+`docs/content/interfaces/amqp-events.md` documents this publisher's exchange, routing-key
+namespace, envelope schema, and error policy in more detail, including a sequence diagram of the
+publish path.

From a455ef251e977068808aa40f667d3fbedd174ace Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Thu, 20 Aug 2026 10:04:53 -0600
Subject: [PATCH 58/68] chore: remove dead test stubs and scratch test scripts
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Delete never-collected test artifacts (pytest only collects test_*.py,
so none of these ever ran):

- operations/tests.py, runs/tests.py, schedule_engine/tests.py,
  website/tests.py: 1-line empty Django app stubs
- api/tests.py: stale test asserting a "Hello world!" response from a
  reverse("runs") route that no longer exists
- realtime_engine/tests.py: broken import of end_run, initialize_run,
  register_run, validate_run from realtime_engine.tasks — none of
  which exist anymore
- tests/: entire directory removed (api_tester.py was a one-off manual
  script, backup.md was old scratch notes)

tests/fake_trip.py contained a hardcoded API token committed to git
history. That token must be rotated.

feed/tests.py is untouched — it holds real exporter tests.
---
 backend/api/tests.py             |  10 -
 backend/operations/tests.py      |   1 -
 backend/realtime_engine/tests.py | 371 -------------------------------
 backend/runs/tests.py            |   1 -
 backend/schedule_engine/tests.py |   1 -
 backend/tests/api_tester.py      |  23 --
 backend/tests/backup.md          |  47 ----
 backend/tests/fake_trip.py       |  63 ------
 backend/website/tests.py         |   1 -
 9 files changed, 518 deletions(-)
 delete mode 100644 backend/api/tests.py
 delete mode 100644 backend/operations/tests.py
 delete mode 100644 backend/realtime_engine/tests.py
 delete mode 100644 backend/runs/tests.py
 delete mode 100644 backend/schedule_engine/tests.py
 delete mode 100644 backend/tests/api_tester.py
 delete mode 100644 backend/tests/backup.md
 delete mode 100644 backend/tests/fake_trip.py
 delete mode 100644 backend/website/tests.py

diff --git a/backend/api/tests.py b/backend/api/tests.py
deleted file mode 100644
index 8c2af81..0000000
--- a/backend/api/tests.py
+++ /dev/null
@@ -1,10 +0,0 @@
-from django.test import TestCase
-from django.urls import reverse
-
-
-class RunsViewSetTests(TestCase):
-    def test_runs_get_returns_200(self):
-        response = self.client.get(reverse("runs"))
-
-        self.assertEqual(response.status_code, 200)
-        self.assertEqual(response.json(), {"message": "Hello world!"})
diff --git a/backend/operations/tests.py b/backend/operations/tests.py
deleted file mode 100644
index a39b155..0000000
--- a/backend/operations/tests.py
+++ /dev/null
@@ -1 +0,0 @@
-# Create your tests here.
diff --git a/backend/realtime_engine/tests.py b/backend/realtime_engine/tests.py
deleted file mode 100644
index aca2ffd..0000000
--- a/backend/realtime_engine/tests.py
+++ /dev/null
@@ -1,371 +0,0 @@
-from datetime import date
-
-from django.contrib.auth.models import User
-from django.test import TestCase
-
-from feed.models import Feed, Trip
-from realtime_engine.tasks import end_run, initialize_run, register_run, validate_run
-from operations.models import Operator, Vehicle
-from runs.models import Run
-
-
-# ---------------------------------------------------------------------------
-# Base valid payload — all cases start from this and mutate one field
-# ---------------------------------------------------------------------------
-def valid_run():
-    return {
-        "vehicle_id": "v-test",
-        "operator_id": "op-test",
-        "route_id": "r-test",
-        "trip_id": "t-test",
-        "direction_id": 0,
-        "shape_id": "s-test",
-        "start_date": date.today().strftime("%Y-%m-%d"),
-        "start_time": "07:15:00",
-        "schedule_relationship": "SCHEDULED",
-    }
-
-
-def run(data):
-    """Call validate_run synchronously (no Celery broker needed)."""
-    return validate_run.apply(args=[data]).get()
-
-
-def show(case_num, description, data, result, expected):
-    status = "PASS" if result == expected else "FAIL"
-    print(f"\n[{status}] Case {case_num}: {description}")
-    print(f"       Input  : {data}")
-    print(f"       Result : {result}  (expected {expected})")
-
-
-class ValidateRunTests(TestCase):
-    @classmethod
-    def setUpTestData(cls):
-        cls.vehicle = Vehicle.objects.create(id="v-test", license_plate="TST-001")
-
-        user = User.objects.create_user(username="op_test", password="pw")
-        cls.operator = Operator.objects.create(id="op-test", user=user)
-
-        cls.feed = Feed.objects.create(feed_id="feed-test", is_current=True)
-
-        # bulk_create skips the overridden save() that requires Route + Calendar to exist
-        Trip.objects.bulk_create(
-            [
-                Trip(
-                    feed=cls.feed,
-                    trip_id="t-test",
-                    route_id="r-test",
-                    service_id="svc-test",
-                    direction_id=0,
-                    shape_id="s-test",
-                    wheelchair_accessible=0,
-                    bikes_allowed=0,
-                )
-            ]
-        )
-
-    # ------------------------------------------------------------------
-    # Case 1 — Happy path
-    # ------------------------------------------------------------------
-    def test_case_01_valid(self):
-        data = valid_run()
-        result = run(data)
-        show(1, "All fields correct", data, result, True)
-        self.assertTrue(result)
-
-    # ------------------------------------------------------------------
-    # Case 2 — Required field completely absent
-    # ------------------------------------------------------------------
-    def test_case_02_missing_vehicle_id(self):
-        data = valid_run()
-        del data["vehicle_id"]
-        result = run(data)
-        show(2, "vehicle_id key missing from payload", data, result, False)
-        self.assertFalse(result)
-
-    # ------------------------------------------------------------------
-    # Case 3 — Required field present but empty string
-    # ------------------------------------------------------------------
-    def test_case_03_empty_trip_id(self):
-        data = valid_run()
-        data["trip_id"] = ""
-        result = run(data)
-        show(3, "trip_id is empty string", data, result, False)
-        self.assertFalse(result)
-
-    # ------------------------------------------------------------------
-    # Case 4 — direction_id cannot be cast to int
-    # ------------------------------------------------------------------
-    def test_case_04_invalid_direction_id(self):
-        data = valid_run()
-        data["direction_id"] = "norte"
-        result = run(data)
-        show(4, "direction_id is non-numeric string 'norte'", data, result, False)
-        self.assertFalse(result)
-
-    # ------------------------------------------------------------------
-    # Case 5 — start_date has wrong format
-    # ------------------------------------------------------------------
-    def test_case_05_bad_date_format(self):
-        data = valid_run()
-        data["start_date"] = "26/04/2026"  # dd/mm/yyyy instead of yyyy-mm-dd
-        result = run(data)
-        show(5, "start_date format is dd/mm/yyyy (invalid)", data, result, False)
-        self.assertFalse(result)
-
-    # ------------------------------------------------------------------
-    # Case 6 — start_date is not today
-    # ------------------------------------------------------------------
-    def test_case_06_date_not_today(self):
-        data = valid_run()
-        data["start_date"] = "2024-05-03"
-        result = run(data)
-        show(6, "start_date is a past date (not today)", data, result, False)
-        self.assertFalse(result)
-
-    # ------------------------------------------------------------------
-    # Case 7 — vehicle does not exist in DB
-    # ------------------------------------------------------------------
-    def test_case_07_vehicle_not_found(self):
-        data = valid_run()
-        data["vehicle_id"] = "ghost-vehicle"
-        result = run(data)
-        show(7, "vehicle_id not in Vehicle table", data, result, False)
-        self.assertFalse(result)
-
-    # ------------------------------------------------------------------
-    # Case 8 — operator does not exist in DB
-    # ------------------------------------------------------------------
-    def test_case_08_operator_not_found(self):
-        data = valid_run()
-        data["operator_id"] = "ghost-operator"
-        result = run(data)
-        show(8, "operator_id not in Operator table", data, result, False)
-        self.assertFalse(result)
-
-    # ------------------------------------------------------------------
-    # Case 9 — vehicle already in an active run
-    # ------------------------------------------------------------------
-    def test_case_09_vehicle_already_in_progress(self):
-        Run.objects.create(
-            vehicle=self.vehicle,
-            operator=self.operator,
-            route_id="r-test",
-            trip_id="t-test",
-            direction_id=0,
-            shape_id="s-test",
-            start_date=date.today(),
-            run_lifecycle_state="IN_PROGRESS",
-        )
-        data = valid_run()
-        result = run(data)
-        show(9, "vehicle already has a run IN_PROGRESS", data, result, False)
-        self.assertFalse(result)
-
-    # ------------------------------------------------------------------
-    # Case 10 — no feed with is_current=True
-    # ------------------------------------------------------------------
-    def test_case_10_no_current_feed(self):
-        Feed.objects.filter(feed_id="feed-test").update(is_current=False)
-        data = valid_run()
-        result = run(data)
-        show(10, "no Feed with is_current=True exists", data, result, False)
-        self.assertFalse(result)
-
-    # ------------------------------------------------------------------
-    # Case 11 — trip not found in current feed
-    # ------------------------------------------------------------------
-    def test_case_11_trip_not_in_feed(self):
-        data = valid_run()
-        data["trip_id"] = "trip-fantasma"
-        result = run(data)
-        show(11, "trip_id does not exist in current feed", data, result, False)
-        self.assertFalse(result)
-
-
-class InitializeRunTests(TestCase):
-    @classmethod
-    def setUpTestData(cls):
-        cls.vehicle = Vehicle.objects.create(id="v-test", license_plate="TST-001")
-        user = User.objects.create_user(username="op_test", password="pw")
-        cls.operator = Operator.objects.create(id="op-test", user=user)
-
-    # ------------------------------------------------------------------
-    # Case 1 — Happy path: Run is created and its id is returned
-    # ------------------------------------------------------------------
-    def test_case_01_creates_run_and_returns_id(self):
-        data = valid_run()
-        ok, run_id = initialize_run.apply(args=[data]).get()
-        show(
-            1,
-            "Valid data → Run created in DB",
-            data,
-            (ok, run_id is not None),
-            (True, True),
-        )
-        self.assertTrue(ok)
-        self.assertIsNotNone(run_id)
-        self.assertTrue(Run.objects.filter(id=run_id).exists())
-
-    # ------------------------------------------------------------------
-    # Case 2 — Bad start_time format → exception caught → (False, None)
-    # ------------------------------------------------------------------
-    def test_case_02_bad_start_time_format(self):
-        data = valid_run()
-        data["start_time"] = "7h15m"
-        ok, run_id = initialize_run.apply(args=[data]).get()
-        show(
-            2,
-            "start_time has invalid format '7h15m'",
-            data,
-            (ok, run_id),
-            (False, None),
-        )
-        self.assertFalse(ok)
-        self.assertIsNone(run_id)
-
-    # ------------------------------------------------------------------
-    # Case 3 — Run with same vehicle+trip already exists (duplicate)
-    # ------------------------------------------------------------------
-    def test_case_03_run_created_with_correct_status(self):
-        data = valid_run()
-        ok, run_id = initialize_run.apply(args=[data]).get()
-        run = Run.objects.get(id=run_id)
-        show(
-            3,
-            "Run is stored with status REGISTERED",
-            data,
-            run.run_lifecycle_state,
-            "REGISTERED",
-        )
-        self.assertTrue(ok)
-        self.assertEqual(run.run_lifecycle_state, "REGISTERED")
-
-
-class RegisterRunTests(TestCase):
-    @classmethod
-    def setUpTestData(cls):
-        cls.vehicle = Vehicle.objects.create(id="v-test", license_plate="TST-001")
-        user = User.objects.create_user(username="op_test", password="pw")
-        cls.operator = Operator.objects.create(id="op-test", user=user)
-        cls.feed = Feed.objects.create(feed_id="feed-test", is_current=True)
-        Trip.objects.bulk_create(
-            [
-                Trip(
-                    feed=cls.feed,
-                    trip_id="t-test",
-                    route_id="r-test",
-                    service_id="svc-test",
-                    direction_id=0,
-                    shape_id="s-test",
-                    wheelchair_accessible=0,
-                    bikes_allowed=0,
-                )
-            ]
-        )
-
-    # ------------------------------------------------------------------
-    # Case 1 — Valid data: validation + initialization both succeed
-    # ------------------------------------------------------------------
-    def test_case_01_valid_full_flow(self):
-        data = valid_run()
-        ok, run_id = register_run.apply(args=[data]).get()
-        show(
-            1,
-            "Valid data → validate + initialize → Run in DB",
-            data,
-            (ok, run_id is not None),
-            (True, True),
-        )
-        self.assertTrue(ok)
-        self.assertIsNotNone(run_id)
-        self.assertTrue(Run.objects.filter(id=run_id).exists())
-
-    # ------------------------------------------------------------------
-    # Case 2 — Validation fails: register_run short-circuits → (False, None)
-    # ------------------------------------------------------------------
-    def test_case_02_validation_fails(self):
-        data = valid_run()
-        data["start_date"] = "2024-05-03"  # not today
-        ok, run_id = register_run.apply(args=[data]).get()
-        show(
-            2,
-            "Date not today → validation fails → no Run created",
-            data,
-            (ok, run_id),
-            (False, None),
-        )
-        self.assertFalse(ok)
-        self.assertIsNone(run_id)
-        self.assertFalse(Run.objects.exists())
-
-
-class EndRunTests(TestCase):
-    @classmethod
-    def setUpTestData(cls):
-        cls.vehicle = Vehicle.objects.create(id="v-test", license_plate="TST-001")
-        user = User.objects.create_user(username="op_test", password="pw")
-        cls.operator = Operator.objects.create(id="op-test", user=user)
-
-    def make_run(self, status="IN_PROGRESS"):
-        return Run.objects.create(
-            vehicle=self.vehicle,
-            operator=self.operator,
-            route_id="r-test",
-            trip_id="t-test",
-            direction_id=0,
-            shape_id="s-test",
-            start_date=date.today(),
-            run_lifecycle_state=status,
-        )
-
-    def call(self, data):
-        return end_run.apply(args=[data]).get()
-
-    # ------------------------------------------------------------------
-    # Case 1 — IN_PROGRESS run → transitions to COMPLETED → True
-    # ------------------------------------------------------------------
-    def test_case_01_valid(self):
-        run = self.make_run("IN_PROGRESS")
-        data = {"run_id": run.id}
-        result = self.call(data)
-        show(1, "IN_PROGRESS run → COMPLETED", data, result, True)
-        self.assertTrue(result)
-        self.assertEqual(Run.objects.get(id=run.id).run_lifecycle_state, "COMPLETED")
-
-    # ------------------------------------------------------------------
-    # Case 2 — run_id is None
-    # ------------------------------------------------------------------
-    def test_case_02_run_id_none(self):
-        data = {"run_id": None}
-        result = self.call(data)
-        show(2, "run_id is None", data, result, False)
-        self.assertFalse(result)
-
-    # ------------------------------------------------------------------
-    # Case 3 — run_id is empty string
-    # ------------------------------------------------------------------
-    def test_case_03_run_id_empty(self):
-        data = {"run_id": ""}
-        result = self.call(data)
-        show(3, "run_id is empty string", data, result, False)
-        self.assertFalse(result)
-
-    # ------------------------------------------------------------------
-    # Case 4 — run_id does not exist in DB
-    # ------------------------------------------------------------------
-    def test_case_04_run_not_found(self):
-        data = {"run_id": 99999}
-        result = self.call(data)
-        show(4, "run_id 99999 does not exist in DB", data, result, False)
-        self.assertFalse(result)
-
-    # ------------------------------------------------------------------
-    # Case 5 — Run exists but is already COMPLETED (non-completable state)
-    # ------------------------------------------------------------------
-    def test_case_05_already_completed(self):
-        run = self.make_run("COMPLETED")
-        data = {"run_id": run.id}
-        result = self.call(data)
-        show(5, "Run is already COMPLETED → cannot complete again", data, result, False)
-        self.assertFalse(result)
diff --git a/backend/runs/tests.py b/backend/runs/tests.py
deleted file mode 100644
index a39b155..0000000
--- a/backend/runs/tests.py
+++ /dev/null
@@ -1 +0,0 @@
-# Create your tests here.
diff --git a/backend/schedule_engine/tests.py b/backend/schedule_engine/tests.py
deleted file mode 100644
index a39b155..0000000
--- a/backend/schedule_engine/tests.py
+++ /dev/null
@@ -1 +0,0 @@
-# Create your tests here.
diff --git a/backend/tests/api_tester.py b/backend/tests/api_tester.py
deleted file mode 100644
index 1304dcf..0000000
--- a/backend/tests/api_tester.py
+++ /dev/null
@@ -1,23 +0,0 @@
-import requests
-from decouple import config
-
-url = "http://localhost:3456/api/path/"
-
-token = config("API_TOKEN")
-data = {
-    "trip": 1,
-    "current_stop_sequence": 5,
-    "stop_id": "5",
-    "current_status": "INCOMING_AT",
-    "congestion_level": "STOP_AND_GO",
-}
-headers = {
-    "Authorization": f"Token {token}",
-    "Content-Type": "application/json",
-}
-response = requests.post(url, json=data, headers=headers)
-
-if response.status_code == 201:
-    print("POST was successful.")
-else:
-    print(f"POST failed. Status code: {response.status_code}.")
diff --git a/backend/tests/backup.md b/backend/tests/backup.md
deleted file mode 100644
index 3c9d939..0000000
--- a/backend/tests/backup.md
+++ /dev/null
@@ -1,47 +0,0 @@
-# Databús
-
-Implementación de GTFS Realtime
-
-### Especificación del formato de transmisión de datos de telemetría
-
-> "¿Cómo se van a transmitir los datos por la red desde los buses hasta el servidor en tiempo real?"
-
-Esto es independiente de GTFS Realtime, en cuanto al formato. Debe incluir las variables deseadas en GTFS Realtime pero también contemplar todas las variables posibles para un sistema inteligente de transporte público, en general, según la referencia de ARC-IT o las necesidades del sistema en Costa Rica.
-
-Según GTFS:
-
-- Ubicación geográfica
-- Dirección
-- Velocidad
-- Ocupación
-
-Según ARC-IT:
-
-- Presión de las llantas
-- Etc.
-
-Según necesidades específicas:
-
-- Presión barométrica
-- Contaminación del aire
-- Etc.
-
-(Ver issue #1)
-
-### Recopilación de datos de telemetría para GTFS Realtime
-
-> "¿Cuáles datos vamos a mostrar en el prototipo?"
-
-Para nuestra implementación del prototipo, esto puede ser de varias formas:
-
-- Con una implementación a escala real en conjunto con RACSA
-- Con una implementación de prueba con una plataforma de desarrollo
-- Con datos sintéticos generados para mostrar la visualización (_hardcoded_)
-
-Es necesario revisar la plataforma para recolección de datos en tiempo real. Podría ser Apache Pulsar.
-
-### Construcción y entrega del `FeedMessage` de GTFS Realtime
-
-Un _script_ para tomar las variables de interés de GTFS Realtime y construir un archivo binario `.pb` para distribución (será recopilado por el proyecto `gtfs-screens`).
-
-Seguir la secuencia: diccionario de Python --> JSON (publicación de cortesía) --> (paquete de Google que lo hace) --> Protobuf --> colocar en el servidor para ser recopilado.
diff --git a/backend/tests/fake_trip.py b/backend/tests/fake_trip.py
deleted file mode 100644
index 7c55999..0000000
--- a/backend/tests/fake_trip.py
+++ /dev/null
@@ -1,63 +0,0 @@
-import requests
-
-api = "https://realtime.bucr.digital/api/"
-token = "ad936c7ae11a9b96e55bc3c54a91972f9896a854"
-headers = {
-    "Authorization": f"Token {token}",
-    "Content-Type": "application/x-www-form-urlencoded",
-}
-
-run = {
-    "vehicle": "SJB1234",
-    "equipment": "2d01a00e-6287-4bfe-8a2b-7bc8a4e2aa5c",
-    "operator": "1-1234-5678",
-    "trip_id": "desde_educacion_con_milla_entresemana_13:33",
-    "route_id": "bUCR_L1",
-    "direction_id": 0,
-    "start_time": "13:33:06",
-    "start_date": "2024-08-29",
-    "schedule_relationship": "SCHEDULED",
-    "shape_id": "desde_educacion_con_milla",
-    "run_lifecycle_state": "IN_PROGRESS",
-}
-
-api_url = f"{api}run/"
-response = requests.post(api_url, data=run, headers=headers)
-run_id = response.json()["id"]
-print(f"Run: {run_id}")
-
-endpoints = {}
-
-endpoints["position"] = {
-    "run": run_id,
-    "timestamp": "2024-08-29T13:35:55-06:00",
-    # "point": "SRID=4326;POINT (-84.04555530733563 9.93540698388418)",
-    "latitude": 9.93540698388418,
-    "longitude": -84.04555530733563,
-    "bearing": 0.0,
-    "odometer": 9.0,
-    "speed": 12.0,
-}
-
-endpoints["progression"] = {
-    "run": run_id,
-    "timestamp": "2024-08-29T13:36:29.055000-06:00",
-    "current_stop_sequence": 3,
-    "stop_id": "bUCR_0_04",
-    "current_status": "INCOMING_AT",
-    "congestion_level": "RUNNING_SMOOTHLY",
-}
-
-endpoints["occupancy"] = {
-    "run": run_id,
-    "timestamp": "2024-08-29T13:36:44.101000-06:00",
-    "occupancy_status": "CRUSHED_STANDING_ROOM_ONLY",
-    "occupancy_percentage": 81,
-    "occupancy_count": 35,
-}
-
-for endpoint in endpoints:
-    api_url = f"{api}{endpoint}/"
-    response = requests.post(api_url, data=endpoints[endpoint], headers=headers)
-    # Show response code
-    print(f"{endpoint}: {response.status_code}")
diff --git a/backend/website/tests.py b/backend/website/tests.py
deleted file mode 100644
index a39b155..0000000
--- a/backend/website/tests.py
+++ /dev/null
@@ -1 +0,0 @@
-# Create your tests here.

From da5f7b9a29acb67d92254a402a100183c95f374e Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Thu, 20 Aug 2026 10:05:51 -0600
Subject: [PATCH 59/68] refactor(api): drop unused serializers and duplicate
 field declarations

LoginSerializer and RunSerializer have zero references outside this
file (grep-verified); CreateRunSerializer and RunUpdateSerializer
remain in use and are untouched.

PositionSerializer had a duplicated vehicle field declaration, a
duplicated "vehicle" entry in fields, and a stale commented-out
create() block. VehicleStopStatusSerializer, CongestionLevelSerializer,
and OccupancyStatusSerializer each had fields = "__all__" written
twice in Meta. Also dropped the now-unused Run import.

No behavior changes beyond removing dead/duplicate declarations.
---
 backend/api/serializers.py | 36 ------------------------------------
 1 file changed, 36 deletions(-)

diff --git a/backend/api/serializers.py b/backend/api/serializers.py
index be692e3..264f189 100644
--- a/backend/api/serializers.py
+++ b/backend/api/serializers.py
@@ -9,7 +9,6 @@
     EquipmentLog,
 )
 from runs.models import (
-    Run,
     Position,
     VehicleStopStatus,
     CongestionLevel,
@@ -34,18 +33,6 @@
 from rest_framework import serializers
 from rest_framework_gis.serializers import GeoFeatureModelSerializer, GeometryField
 
-# --------------
-# Login data
-# --------------
-
-
-class LoginSerializer(serializers.Serializer):
-    """Serialize an auth token issued alongside the authenticated operator's ID."""
-
-    token = serializers.CharField()
-    operator_id = serializers.CharField()
-
-
 # --------------
 # Telemetry data
 # --------------
@@ -127,18 +114,6 @@ class Meta:
         ordering = ["id"]
 
 
-class RunSerializer(serializers.HyperlinkedModelSerializer):
-    """Serialize a Run with its assigned vehicle and operator (currently unused; no route registers it)."""
-
-    vehicle = serializers.PrimaryKeyRelatedField(queryset=Vehicle.objects.all())
-    operator = serializers.PrimaryKeyRelatedField(queryset=Operator.objects.all())
-
-    class Meta:
-        model = Run
-        fields = "__all__"
-        ordering = ["id"]
-
-
 class CreateRunSerializer(serializers.Serializer):
     """Validate the payload for requesting a new run (vehicle, operator, and GTFS trip identifiers)."""
 
@@ -170,7 +145,6 @@ class RunUpdateSerializer(serializers.Serializer):
 class PositionSerializer(serializers.HyperlinkedModelSerializer):
     """Serialize a vehicle Position sample, exposing latitude/longitude alongside the raw point."""
 
-    vehicle = serializers.PrimaryKeyRelatedField(queryset=Vehicle.objects.all())
     vehicle = serializers.PrimaryKeyRelatedField(queryset=Vehicle.objects.all())
     latitude = serializers.SerializerMethodField()
     longitude = serializers.SerializerMethodField()
@@ -180,7 +154,6 @@ class Meta:
         fields = [
             "url",
             "vehicle",
-            "vehicle",
             "timestamp",
             "point",
             "latitude",
@@ -203,12 +176,6 @@ def get_longitude(self, obj: Position) -> float | None:
             return obj.point.x
         return None
 
-    # def create(self, validated_data):
-    #     latitude = validated_data.pop("latitude")
-    #     longitude = validated_data.pop("longitude")
-    #     point = Point(longitude, latitude)
-    #     return Position.objects.create(point=point, **validated_data)
-
 
 class VehicleStopStatusSerializer(serializers.HyperlinkedModelSerializer):
     """Serialize a vehicle's relationship to its current/next stop (GTFS-RT VehicleStopStatus)."""
@@ -218,7 +185,6 @@ class VehicleStopStatusSerializer(serializers.HyperlinkedModelSerializer):
     class Meta:
         model = VehicleStopStatus
         fields = "__all__"
-        fields = "__all__"
         ordering = ["id"]
 
 
@@ -230,7 +196,6 @@ class CongestionLevelSerializer(serializers.HyperlinkedModelSerializer):
     class Meta:
         model = CongestionLevel
         fields = "__all__"
-        fields = "__all__"
         ordering = ["id"]
 
 
@@ -242,7 +207,6 @@ class OccupancyStatusSerializer(serializers.HyperlinkedModelSerializer):
     class Meta:
         model = OccupancyStatus
         fields = "__all__"
-        fields = "__all__"
         ordering = ["id"]
 
 

From bc0a0d8ce0d0f43ce087e58fa8658afe301e40c3 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Thu, 20 Aug 2026 10:06:19 -0600
Subject: [PATCH 60/68] style(realtime_engine): move test imports to module top

realtime_engine.tasks (module and process_position_update) were
imported mid-file for the task-level test section, triggering two
E402 violations. Moved both imports to the top-level import block;
the section comment marking the task-level tests stays in place.
---
 backend/realtime_engine/tests/test_mqtt_ingestion.py | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/backend/realtime_engine/tests/test_mqtt_ingestion.py b/backend/realtime_engine/tests/test_mqtt_ingestion.py
index afc69ae..52c9be1 100644
--- a/backend/realtime_engine/tests/test_mqtt_ingestion.py
+++ b/backend/realtime_engine/tests/test_mqtt_ingestion.py
@@ -26,7 +26,9 @@
 import pytest
 
 import realtime_engine.mqtt as mqtt_module
+import realtime_engine.tasks as tasks_module
 from realtime_engine.mqtt import _handle_telemetry
+from realtime_engine.tasks import process_position_update
 from runs.domain.telemetry import keys, occupancy
 
 
@@ -313,9 +315,6 @@ def test_on_connect_subscribes_position_and_occupancy_only():
 # ---------------------------------------------------------------------------
 
 
-import realtime_engine.tasks as tasks_module
-from realtime_engine.tasks import process_position_update
-
 _POSITION_RAW_REDIS = {
     "latitude": "51.5074",
     "longitude": "-0.1278",

From bfd2ad41ab9aae1efcfbc7edd1c8ef4c68d12062 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Thu, 20 Aug 2026 10:16:25 -0600
Subject: [PATCH 61/68] test(feed): move exporter smoke tests into collected
 test package

pytest only collects test_*.py, so backend/feed/tests.py (smoke tests for
build_gtfs_zip) was never run. Move it to backend/feed/tests/test_schedule_exporter.py
following the tests/ package convention already used by other apps.
---
 backend/feed/tests/__init__.py                             | 1 +
 backend/feed/{tests.py => tests/test_schedule_exporter.py} | 0
 2 files changed, 1 insertion(+)
 create mode 100644 backend/feed/tests/__init__.py
 rename backend/feed/{tests.py => tests/test_schedule_exporter.py} (100%)

diff --git a/backend/feed/tests/__init__.py b/backend/feed/tests/__init__.py
new file mode 100644
index 0000000..12e8a01
--- /dev/null
+++ b/backend/feed/tests/__init__.py
@@ -0,0 +1 @@
+"""Tests for the feed app."""
diff --git a/backend/feed/tests.py b/backend/feed/tests/test_schedule_exporter.py
similarity index 100%
rename from backend/feed/tests.py
rename to backend/feed/tests/test_schedule_exporter.py

From 15dcfe151625554b217ab7ea03629dee794c0dd6 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Thu, 20 Aug 2026 11:13:34 -0600
Subject: [PATCH 62/68] fix(databus): honor REDIS_PASSWORD in all Redis clients

compose.prod.yml starts Redis with --requirepass, but no client in the
codebase passed a password, so production auth would fail. Introduce
databus/redis_client.py, a small dependency-light factory (plain
os.getenv, no Django imports) that builds every Redis client from
REDIS_HOST/REDIS_PORT/REDIS_PASSWORD, treating an empty password as
unset so dev without auth keeps working. Route all inline
redis.Redis(...) call sites through it, including the two
lifecycle modules that hardcoded host="state", and wire the same
password into Channels' CHANNEL_LAYERS via the redis:// URL form.
---
 backend/databus/redis_client.py               | 30 +++++++++++++++++++
 backend/databus/settings.py                   |  9 +++++-
 backend/realtime_engine/mqtt.py               |  9 ++----
 backend/realtime_engine/tasks.py              | 10 ++-----
 backend/runs/domain/detection/dispatch.py     | 10 ++-----
 backend/runs/domain/lifecycle/actions.py      |  9 ++++--
 backend/runs/domain/lifecycle/guards.py       |  7 +++--
 backend/runs/domain/progression/producer.py   | 11 ++-----
 backend/runs/domain/progression/stop_times.py | 10 ++-----
 backend/schedule_engine/tasks.py              |  8 ++---
 backend/scripts/cleanup_runs.py               |  9 ++++--
 11 files changed, 68 insertions(+), 54 deletions(-)
 create mode 100644 backend/databus/redis_client.py

diff --git a/backend/databus/redis_client.py b/backend/databus/redis_client.py
new file mode 100644
index 0000000..68c4c5e
--- /dev/null
+++ b/backend/databus/redis_client.py
@@ -0,0 +1,30 @@
+"""Shared Redis client factory.
+
+Every Redis client in this codebase is built from the same three environment
+variables (``REDIS_HOST``, ``REDIS_PORT``, ``REDIS_PASSWORD``) so that a
+single place honors ``REDIS_PASSWORD`` — required by ``compose.prod.yml``,
+which starts the ``state`` service with ``--requirepass ${REDIS_PASSWORD}``.
+
+Deliberately dependency-light: only ``os.getenv``, no Django imports, so
+non-Django contexts (standalone scripts, management commands run outside the
+app) can import this module too.
+"""
+
+import os
+
+import redis
+
+
+def create_redis_client(db: int = 0, decode_responses: bool = True) -> redis.Redis:
+    """Build a Redis client from REDIS_HOST/REDIS_PORT/REDIS_PASSWORD env vars.
+
+    ``REDIS_PASSWORD`` is treated as unset when empty, so dev environments
+    without Redis auth keep working unauthenticated.
+    """
+    return redis.Redis(
+        host=os.getenv("REDIS_HOST", "state"),
+        port=int(os.getenv("REDIS_PORT", "6379")),
+        db=db,
+        password=os.getenv("REDIS_PASSWORD") or None,
+        decode_responses=decode_responses,
+    )
diff --git a/backend/databus/settings.py b/backend/databus/settings.py
index 1f43616..21f7e21 100644
--- a/backend/databus/settings.py
+++ b/backend/databus/settings.py
@@ -133,6 +133,7 @@
 
 REDIS_HOST = config("REDIS_HOST")
 REDIS_PORT = config("REDIS_PORT")
+REDIS_PASSWORD = config("REDIS_PASSWORD", default="")
 
 # RabbitMQ settings
 
@@ -167,11 +168,17 @@
 
 # Channels settings
 
+_CHANNEL_LAYER_HOSTS: list[str | tuple[str, str]] = (
+    [f"redis://:{REDIS_PASSWORD}@{REDIS_HOST}:{REDIS_PORT}/0"]
+    if REDIS_PASSWORD
+    else [(REDIS_HOST, REDIS_PORT)]
+)
+
 CHANNEL_LAYERS = {
     "default": {
         "BACKEND": "channels_redis.core.RedisChannelLayer",
         "CONFIG": {
-            "hosts": [(REDIS_HOST, REDIS_PORT)],
+            "hosts": _CHANNEL_LAYER_HOSTS,
         },
     },
 }
diff --git a/backend/realtime_engine/mqtt.py b/backend/realtime_engine/mqtt.py
index 2b51836..ed63ac4 100644
--- a/backend/realtime_engine/mqtt.py
+++ b/backend/realtime_engine/mqtt.py
@@ -26,10 +26,10 @@
 from typing import Any, cast
 
 import paho.mqtt.client as mqtt
-import redis
 from celery import bootsteps
 from django.utils.timezone import now
 
+from databus.redis_client import create_redis_client
 from runs.domain.telemetry import keys, occupancy, position
 
 logger = logging.getLogger(__name__)
@@ -42,12 +42,7 @@
     "yes",
 )
 
-r = redis.Redis(
-    host=os.getenv("REDIS_HOST", "state"),
-    port=int(os.getenv("REDIS_PORT", "6379")),
-    db=0,
-    decode_responses=True,
-)
+r = create_redis_client()
 
 
 def _vehicle_id_from_topic(topic: str) -> str | None:
diff --git a/backend/realtime_engine/tasks.py b/backend/realtime_engine/tasks.py
index 102efe3..5236e14 100644
--- a/backend/realtime_engine/tasks.py
+++ b/backend/realtime_engine/tasks.py
@@ -1,15 +1,14 @@
 """Celery tasks for the realtime-engine worker: lifecycle events, staleness scanning, HTTP polling."""
 
 import logging
-import os
 from datetime import datetime, timezone
 from typing import TYPE_CHECKING, Any, cast
 
-import redis
 from celery import shared_task
 from celery.exceptions import SoftTimeLimitExceeded
 from django.utils.timezone import now
 
+from databus.redis_client import create_redis_client
 from runs.services.lifecycle import RunLifecycleService
 
 if TYPE_CHECKING:
@@ -17,12 +16,7 @@
 
 logger = logging.getLogger(__name__)
 
-redis_client = redis.Redis(
-    host=os.getenv("REDIS_HOST", "state"),
-    port=int(os.getenv("REDIS_PORT", "6379")),
-    db=0,
-    decode_responses=True,
-)
+redis_client = create_redis_client()
 
 
 def _smembers(key: str) -> set[str]:
diff --git a/backend/runs/domain/detection/dispatch.py b/backend/runs/domain/detection/dispatch.py
index 9f8ebbe..28f2b45 100644
--- a/backend/runs/domain/detection/dispatch.py
+++ b/backend/runs/domain/detection/dispatch.py
@@ -12,21 +12,15 @@
 logic of their own.
 """
 
-import os
 from typing import Any, cast
 
-import redis
 from django.utils.timezone import now
 
+from databus.redis_client import create_redis_client
 from runs.domain.detection.result import DetectionResult
 from runs.domain.detection import registry
 
-r = redis.Redis(
-    host=os.getenv("REDIS_HOST", "state"),
-    port=int(os.getenv("REDIS_PORT", "6379")),
-    db=0,
-    decode_responses=True,
-)
+r = create_redis_client()
 
 # Lifecycle events whose guard (``is_vehicle_tracked``) requires the run to
 # already be in ``runs:tracking``. The arrival of telemetry is precisely the
diff --git a/backend/runs/domain/lifecycle/actions.py b/backend/runs/domain/lifecycle/actions.py
index 3b43068..76316ac 100644
--- a/backend/runs/domain/lifecycle/actions.py
+++ b/backend/runs/domain/lifecycle/actions.py
@@ -2,13 +2,18 @@
 
 from typing import Any, TYPE_CHECKING
 from runs.models import Run
-import redis
+from databus.redis_client import create_redis_client
 from runs.domain.telemetry import keys, trip
 
 if TYPE_CHECKING:
     from runs.domain.lifecycle import Transition
 
-r = redis.Redis(host="state", port=6379, db=0)
+# decode_responses=False preserves this module's prior hardcoded
+# `redis.Redis(host="state", port=6379, db=0)` default — this module never
+# reads back string values (only writes via hset/sadd/srem/delete), so the
+# bytes-vs-str distinction is behaviorally inert here, but kept explicit and
+# consistent with guards.py, which does depend on raw bytes.
+r = create_redis_client(decode_responses=False)
 
 
 class RunLifecycleActions:
diff --git a/backend/runs/domain/lifecycle/guards.py b/backend/runs/domain/lifecycle/guards.py
index cc533be..886f17f 100644
--- a/backend/runs/domain/lifecycle/guards.py
+++ b/backend/runs/domain/lifecycle/guards.py
@@ -6,12 +6,15 @@
 from runs.models import Run
 from runs.services.exceptions import RunLifecycleError
 from runs.domain.detection.thresholds import TELEMETRY_GRACE_S, TELEMETRY_EXPIRY_S
-import redis
+from databus.redis_client import create_redis_client
 
 if TYPE_CHECKING:
     from runs.domain.lifecycle import Transition
 
-r = redis.Redis(host="state", port=6379, db=0)
+# decode_responses=False preserves this module's prior hardcoded
+# `redis.Redis(host="state", port=6379, db=0)` default — `_get_bytes` below
+# relies on raw bytes (`.decode()` is called explicitly by callers).
+r = create_redis_client(decode_responses=False)
 
 
 def _get_bytes(key: str) -> bytes | None:
diff --git a/backend/runs/domain/progression/producer.py b/backend/runs/domain/progression/producer.py
index 4f9f707..01c3693 100644
--- a/backend/runs/domain/progression/producer.py
+++ b/backend/runs/domain/progression/producer.py
@@ -13,22 +13,15 @@
 """
 
 import logging
-import os
 from typing import cast
 
-import redis
-
+from databus.redis_client import create_redis_client
 from runs.domain.telemetry import keys, position, vehicle_stop_status
 from runs.domain.progression.compute import compute_stop_status
 
 logger = logging.getLogger(__name__)
 
-r = redis.Redis(
-    host=os.getenv("REDIS_HOST", "state"),
-    port=int(os.getenv("REDIS_PORT", "6379")),
-    db=0,
-    decode_responses=True,
-)
+r = create_redis_client()
 
 
 def _hgetall(key: str) -> dict[str, str]:
diff --git a/backend/runs/domain/progression/stop_times.py b/backend/runs/domain/progression/stop_times.py
index 75379e7..2bf3f01 100644
--- a/backend/runs/domain/progression/stop_times.py
+++ b/backend/runs/domain/progression/stop_times.py
@@ -26,8 +26,7 @@
 from datetime import datetime, timezone
 from typing import cast
 
-import redis
-
+from databus.redis_client import create_redis_client
 from runs.domain.telemetry import keys, stop_time_updates, vehicle_stop_status
 from runs.domain.progression.geo import project_point_to_polyline
 from runs.domain.progression.shapes import ShapeGeometry, get_shape_geometry
@@ -50,12 +49,7 @@
 # GTFS-RT feed; callers (e.g. apps) can use it for confidence UX.
 ETA_DEFAULT_UNCERTAINTY_S = int(os.getenv("ETA_DEFAULT_UNCERTAINTY_S", "120"))
 
-r = redis.Redis(
-    host=os.getenv("REDIS_HOST", "state"),
-    port=int(os.getenv("REDIS_PORT", "6379")),
-    db=0,
-    decode_responses=True,
-)
+r = create_redis_client()
 
 
 def _hgetall(key: str) -> dict[str, str]:
diff --git a/backend/schedule_engine/tasks.py b/backend/schedule_engine/tasks.py
index 2834323..ba4596b 100644
--- a/backend/schedule_engine/tasks.py
+++ b/backend/schedule_engine/tasks.py
@@ -18,6 +18,7 @@
 from google.protobuf import json_format
 from google.transit import gtfs_realtime_pb2 as gtfs_rt
 
+from databus.redis_client import create_redis_client
 from .builders import (
     build_trip_updates_feed,
     build_vehicle_positions_feed,
@@ -34,12 +35,7 @@ def get_redis() -> redis.Redis:
     """Return the module-level Redis client, lazily creating it on first use."""
     global _redis
     if _redis is None:
-        _redis = redis.Redis(
-            host=os.environ.get("REDIS_HOST", "state"),
-            port=int(os.environ.get("REDIS_PORT", "6379")),
-            db=int(os.environ.get("REDIS_DB", "0")),
-            decode_responses=True,
-        )
+        _redis = create_redis_client(db=int(os.environ.get("REDIS_DB", "0")))
     return _redis
 
 
diff --git a/backend/scripts/cleanup_runs.py b/backend/scripts/cleanup_runs.py
index 3a77b32..4a91dad 100644
--- a/backend/scripts/cleanup_runs.py
+++ b/backend/scripts/cleanup_runs.py
@@ -104,9 +104,11 @@ def get_db(
     )
 
 
-def get_redis(host: str, port: int, db: int) -> redis.Redis:
+def get_redis(host: str, port: int, db: int, password: str | None = None) -> redis.Redis:
     """Open a Redis client with the given connection parameters."""
-    return redis.Redis(host=host, port=port, db=db, decode_responses=True)
+    return redis.Redis(
+        host=host, port=port, db=db, password=password or None, decode_responses=True
+    )
 
 
 # ---------------------------------------------------------------------------
@@ -505,6 +507,7 @@ def main() -> None:
     parser.add_argument("--redis-host", default=os.getenv("REDIS_HOST", "localhost"))
     parser.add_argument("--redis-port", default=int(os.getenv("REDIS_PORT", "6379")), type=int)
     parser.add_argument("--redis-db",   default=int(os.getenv("REDIS_DB", "0")), type=int)
+    parser.add_argument("--redis-password", default=os.getenv("REDIS_PASSWORD", ""))
 
     args = parser.parse_args()
 
@@ -526,7 +529,7 @@ def main() -> None:
 
     if need_redis:
         try:
-            r = get_redis(args.redis_host, args.redis_port, args.redis_db)
+            r = get_redis(args.redis_host, args.redis_port, args.redis_db, args.redis_password)
             r.ping()
         except Exception as e:
             print(f"\n⚠️  Cannot connect to Redis at {args.redis_host}:{args.redis_port}")

From 9059f96137c06858f988adb97c6e647f32b8d00d Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Thu, 20 Aug 2026 11:13:42 -0600
Subject: [PATCH 63/68] docs(operations): update REDIS_PASSWORD note now that
 clients honor it

Replace the warning about REDIS_PASSWORD not being consumed by any
Redis client with an accurate statement: all clients now go through
databus/redis_client.py and honor the password when set.
---
 docs/content/operations/configuration.md | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/docs/content/operations/configuration.md b/docs/content/operations/configuration.md
index 515f946..dfcc28b 100644
--- a/docs/content/operations/configuration.md
+++ b/docs/content/operations/configuration.md
@@ -47,8 +47,7 @@ Databús is configured entirely through environment variables loaded from `.env`
 | `REDIS_PASSWORD` | `redispassword` | Yes (prod) | Redis AUTH password. Required in `compose.prod.yml` (the `state` service starts with `--requirepass`). Leave empty for bare-metal dev without auth. |
 | `REDIS_DB` | `0` | No | Redis database index. |
 
-!!! warning "`REDIS_PASSWORD` is not currently consumed by any Redis client"
-    Every place `databus` connects to Redis — `realtime_engine/tasks.py`, `realtime_engine/mqtt.py`, `schedule_engine/tasks.py`, `runs/domain/lifecycle/{guards,actions}.py`, `runs/domain/detection/dispatch.py`, `runs/domain/progression/{producer,stop_times}.py`, and the Channels `CHANNEL_LAYERS` config in `databus/settings.py` — builds its `redis.Redis(...)` / channel-layer host from `REDIS_HOST`/`REDIS_PORT` (or a hardcoded `"state"` in the two `runs/domain/lifecycle` modules) with no password argument. `compose.prod.yml` starts `state` with `--requirepass ${REDIS_PASSWORD}`, so as configured today those clients would fail to authenticate against a production Redis that actually enforces the password. Verified by reading every `redis.Redis(` call site and `settings.py` in this session — flagging as a known gap, not fixing it here (docs-only scope).
+All Redis clients in `databus` — `realtime_engine/tasks.py`, `realtime_engine/mqtt.py`, `schedule_engine/tasks.py`, `runs/domain/lifecycle/{guards,actions}.py`, `runs/domain/detection/dispatch.py`, `runs/domain/progression/{producer,stop_times}.py` — are built via the shared factory in `databus/redis_client.py`, and the Channels `CHANNEL_LAYERS` config in `databus/settings.py` follows the same env vars directly. All of them honor `REDIS_PASSWORD` when it is set. Leaving it empty or unset (the dev default) connects without AUTH, so bare-metal dev without auth keeps working unchanged.
 
 ### RabbitMQ (AMQP message broker)
 

From 3c29e4391843402f482c3078523bdf57d0cb60a3 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Thu, 20 Aug 2026 11:13:49 -0600
Subject: [PATCH 64/68] fix(runs): resolve mypy stragglers in shapes.py and
 lifecycle guards.py

Both are annotation-level, behavior-neutral: shapes.py's stop_lat/lon
DecimalField(null=True) columns are read via .values() with no null
filter, so float() already assumed non-null at runtime; annotate that
assumption explicitly rather than changing the query. guards.py's
short-turn terminal-stop check already guarantees .last() is non-None
via the preceding .exists() check; cast makes that explicit instead of
leaving mypy to flag a false positive.
---
 backend/runs/domain/lifecycle/guards.py   | 3 ++-
 backend/runs/domain/progression/shapes.py | 5 ++++-
 2 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/backend/runs/domain/lifecycle/guards.py b/backend/runs/domain/lifecycle/guards.py
index 886f17f..db8e10c 100644
--- a/backend/runs/domain/lifecycle/guards.py
+++ b/backend/runs/domain/lifecycle/guards.py
@@ -298,7 +298,8 @@ def is_short_turn_geometrically_valid(
                 {"trip_id": f"No stop times found for trip '{trip_id}'"}
             )
 
-        terminal = stop_times.last()
+        # `.exists()` above already guarantees `.last()` is non-None here.
+        terminal = cast(StopTime, stop_times.last())
         stop_ids = list(stop_times.values_list("stop_id", flat=True))
 
         if short_turn_stop_id not in stop_ids:
diff --git a/backend/runs/domain/progression/shapes.py b/backend/runs/domain/progression/shapes.py
index 537d102..7a066fe 100644
--- a/backend/runs/domain/progression/shapes.py
+++ b/backend/runs/domain/progression/shapes.py
@@ -432,7 +432,10 @@ def load_shape_geometry(
 
     stop_ids = [sid for sid, _seq in st_rows]
     stop_coord_map = {
-        row["stop_id"]: (float(row["stop_lat"]), float(row["stop_lon"]))
+        row["stop_id"]: (
+            float(row["stop_lat"]),  # type: ignore[arg-type]
+            float(row["stop_lon"]),  # type: ignore[arg-type]
+        )
         for row in Stop.objects.filter(feed=feed, stop_id__in=stop_ids).values(
             "stop_id", "stop_lat", "stop_lon"
         )

From a79b11ce188eb9a019129e771b9d2f90b51e128b Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Thu, 20 Aug 2026 11:23:50 -0600
Subject: [PATCH 65/68] fix(databus): URL-encode Redis password in channel
 layer address

---
 backend/databus/settings.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/backend/databus/settings.py b/backend/databus/settings.py
index 21f7e21..166379e 100644
--- a/backend/databus/settings.py
+++ b/backend/databus/settings.py
@@ -11,6 +11,7 @@
 """
 
 from pathlib import Path
+from urllib.parse import quote
 from decouple import config, Csv
 import platform
 import os
@@ -169,7 +170,7 @@
 # Channels settings
 
 _CHANNEL_LAYER_HOSTS: list[str | tuple[str, str]] = (
-    [f"redis://:{REDIS_PASSWORD}@{REDIS_HOST}:{REDIS_PORT}/0"]
+    [f"redis://:{quote(REDIS_PASSWORD, safe='')}@{REDIS_HOST}:{REDIS_PORT}/0"]
     if REDIS_PASSWORD
     else [(REDIS_HOST, REDIS_PORT)]
 )

From 09fd3ff7f52506ea9ed286ede2d421224b4eceb1 Mon Sep 17 00:00:00 2001
From: Jae <dotjae609@gmail.com>
Date: Thu, 20 Aug 2026 17:16:20 -0600
Subject: [PATCH 66/68] feat(schedule): hourly GTFS Schedule import from
 upstream providers
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Add an hourly Celery task that keeps the stored GTFS Schedule in sync with
each active provider's upstream feed, mirroring infobús's get_schedule flow.

- feed/schedule/importer.py: import_schedule_if_changed(provider) HEAD-checks
  the provider's schedule_url ETag against the current Feed.http_etag, skips
  when unchanged, and otherwise imports the zip's 9 core GTFS tables via
  bulk_create. The whole DB mutation (flipping the prior current feed,
  creating the new Feed, importing every table) runs in a single
  transaction.atomic() so a failure rolls back cleanly. Missing/blank
  non-nullable columns are filled with each field's empty default (0/""),
  covering feeds that omit optional columns (e.g. pickup_type/drop_off_type);
  Stop.stop_point is built inline from lat/lon; malformed rows are skipped.
- schedule_engine/tasks.py: fetch_schedule() iterates active GTFSProviders
  with per-provider error isolation and returns an updated/unchanged/errored
  summary.
- databus/celery.py: fetch-schedule-hourly-at-30 beat entry (crontab minute=30).
- feed/tests/test_schedule_importer.py: 12 tests (new import, unchanged ETag,
  missing-header fallback, atomic rollback, lean-feed missing columns, etc.).

Verified end-to-end against the live bUCR feed: full lossless import
(1 route, 122 trips, 22 stops, 1043 stop_times), with re-run correctly
detecting the unchanged ETag.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01BMNbeYrs2LKHpRoF5UFeYD
---
 backend/databus/celery.py                    |  11 +-
 backend/feed/schedule/importer.py            | 299 +++++++++++++++++
 backend/feed/tests/test_schedule_importer.py | 322 +++++++++++++++++++
 backend/schedule_engine/tasks.py             |  31 ++
 4 files changed, 661 insertions(+), 2 deletions(-)
 create mode 100644 backend/feed/schedule/importer.py
 create mode 100644 backend/feed/tests/test_schedule_importer.py

diff --git a/backend/databus/celery.py b/backend/databus/celery.py
index c2cce1d..5fb3b04 100644
--- a/backend/databus/celery.py
+++ b/backend/databus/celery.py
@@ -4,14 +4,17 @@
 that hasn't started within its own cycle is revoked via `expires=10` rather than queuing
 up behind a slow source); `build-vehicle-positions-every-15s` and
 `build-trip-updates-every-15s` rebuild the two GTFS-RT feeds every 15s;
-`scan-stale-runs-every-30s` sweeps for runs that have gone quiet; and
-`build-schedule-daily` rebuilds the GTFS Schedule zip once a day.
+`scan-stale-runs-every-30s` sweeps for runs that have gone quiet;
+`build-schedule-daily` rebuilds the GTFS Schedule zip once a day; and
+`fetch-schedule-hourly-at-30` HEAD-checks each active GTFSProvider's schedule_url ETag
+every hour at :30 and imports the GTFS Schedule when it changed.
 """
 
 from datetime import timedelta
 import os
 
 from celery import Celery
+from celery.schedules import crontab
 
 # Set the default Django settings module for the 'celery' program.
 os.environ.setdefault("DJANGO_SETTINGS_MODULE", "databus.settings")
@@ -71,4 +74,8 @@ def debug_task(self):
         "task": "schedule_engine.tasks.build_schedule",
         "schedule": timedelta(days=1),
     },
+    "fetch-schedule-hourly-at-30": {
+        "task": "schedule_engine.tasks.fetch_schedule",
+        "schedule": crontab(minute=30),
+    },
 }
diff --git a/backend/feed/schedule/importer.py b/backend/feed/schedule/importer.py
new file mode 100644
index 0000000..c7586f1
--- /dev/null
+++ b/backend/feed/schedule/importer.py
@@ -0,0 +1,299 @@
+"""GTFS Schedule zip importer.
+
+Ported from infobús's ``save_schedule_to_database``, adapted for databús's
+``GTFSProvider``/``Feed`` schema. HEAD-checks a provider's upstream
+``schedule_url`` ETag; if it differs from the current ``Feed``'s, downloads
+and bulk-imports the new GTFS zip table-by-table, flips ``is_current``, and
+returns ``True``.
+
+Core ``linked_*`` FKs (e.g. ``Trip.linked_route``) are intentionally left
+``NULL`` here: they're normally resolved in each model's custom ``save()``,
+which ``bulk_create`` bypasses for performance, and nothing downstream reads
+them (the exporter re-derives GTFS columns from natural keys and already
+excludes ``linked_*``). ``Stop.stop_point`` is the one exception: it's built
+inline via ``Point(lon, lat)`` because it's needed for geo queries and
+``Stop.save()`` is bypassed too.
+"""
+
+from __future__ import annotations
+
+import io
+import logging
+import zipfile
+from datetime import date, datetime, timezone
+
+import pandas as pd
+import requests
+from django.contrib.gis.geos import Point
+from django.db import models as db_models
+from django.db import transaction
+
+from feed.models import (
+    Agency,
+    Calendar,
+    CalendarDate,
+    Feed,
+    FeedInfo,
+    GTFSProvider,
+    Route,
+    Shape,
+    Stop,
+    StopTime,
+    Trip,
+)
+
+logger = logging.getLogger(__name__)
+
+_REQUEST_TIMEOUT = 30  # seconds
+
+# Mirrors feed.schedule.exporter._EXCLUDE_NAMES so importer/exporter agree on
+# which columns are GTFS data vs. internal/app-specific augmentation fields.
+_EXCLUDE_FIELD_NAMES = frozenset(
+    {"id", "feed", "geoshape", "stop_point", "stop_heading", "holiday_name"}
+)
+
+# Columns holding GTFS "YYYYMMDD" dates, which must be converted to `date`
+# objects before construction (Django's DateField.to_python expects ISO
+# "YYYY-MM-DD", not GTFS's compact format).
+_DATE_FIELDS: dict[type[db_models.Model], frozenset[str]] = {
+    Calendar: frozenset({"start_date", "end_date"}),
+    CalendarDate: frozenset({"date"}),
+    FeedInfo: frozenset({"feed_start_date", "feed_end_date"}),
+}
+
+# Import order matters: GTFS tables have no cross-table FK constraints in
+# this schema (linked_* are left NULL), so order here just mirrors the GTFS
+# reference table listing for readability/parity with infobús and the
+# exporter. Fare tables are intentionally out of scope (see plan).
+_TABLES: list[tuple[str, type[db_models.Model]]] = [
+    ("agency", Agency),
+    ("stops", Stop),
+    ("shapes", Shape),
+    ("calendar", Calendar),
+    ("calendar_dates", CalendarDate),
+    ("routes", Route),
+    ("trips", Trip),
+    ("stop_times", StopTime),
+    ("feed_info", FeedInfo),
+]
+
+
+def normalize_gtfs_value(value: object) -> str | None:
+    """Normalize a raw CSV cell: blank/whitespace-only/NaN -> None, else stripped string."""
+    if value is None:
+        return None
+    # pandas keeps genuinely-missing cells as float NaN even under
+    # dtype=str (a str column can't hold NaN, so it stays a float);
+    # str(nan) == "nan", which would otherwise pass through as a bogus value.
+    if isinstance(value, float) and pd.isna(value):
+        return None
+    text = str(value).strip()
+    return text or None
+
+
+def gtfs_date(value: object) -> date | None:
+    """Parse a GTFS ``YYYYMMDD`` string into a ``date``. None-safe."""
+    text = normalize_gtfs_value(value)
+    if text is None:
+        return None
+    return datetime.strptime(text, "%Y%m%d").date()
+
+
+def _importable_fields(model: type[db_models.Model]) -> list[db_models.Field]:
+    """Return the concrete, importable fields for *model* (excludes FKs/augmentation fields)."""
+    return [
+        field
+        for field in model._meta.local_fields
+        if field.name not in _EXCLUDE_FIELD_NAMES and not field.name.startswith("linked_")
+    ]
+
+
+def _model_fields(model: type[db_models.Model]) -> list[str]:
+    """Return the concrete, importable column names for *model*."""
+    return [field.attname for field in _importable_fields(model)]
+
+
+def _empty_value_for(field: db_models.Field) -> object:
+    """Return a safe non-NULL substitute for a blank cell on a non-nullable *field*.
+
+    Priority: the field's own Django-level default (if any) > 0 for numeric
+    fields > "" for text fields > None as a last resort (which will surface
+    as a NOT NULL violation, but only for fields we truly can't infer a safe
+    empty value for -- better a loud DB error than a silently wrong guess).
+    """
+    if field.has_default():
+        return field.get_default()
+    if isinstance(field, (db_models.IntegerField, db_models.FloatField, db_models.DecimalField)):
+        return 0
+    if isinstance(field, (db_models.CharField, db_models.TextField)):
+        return ""
+    return None
+
+
+def _coerce_row(model: type[db_models.Model], row: dict[str, object]) -> dict[str, object]:
+    """Normalize one CSV row's raw string values into model constructor kwargs.
+
+    Iterates *model*'s full importable field set -- not just the columns
+    present in *row* -- because a lean GTFS feed can omit an entire column
+    (e.g. a stop_times.txt with no pickup_type/drop_off_type columns at
+    all). A column that's present-but-blank and a column that's absent
+    entirely must be treated the same way: if the resulting value is None
+    and the Django field is non-nullable, substitute a safe empty value
+    (see `_empty_value_for`) instead of leaving/passing None.
+    """
+    date_fields = _DATE_FIELDS.get(model, frozenset())
+
+    kwargs: dict[str, object] = {}
+    for field in _importable_fields(model):
+        column = field.attname
+        value: object
+        if column in row:
+            raw_value = row[column]
+            value = gtfs_date(raw_value) if column in date_fields else normalize_gtfs_value(raw_value)
+        else:
+            value = None
+
+        if value is None and not field.null:
+            value = _empty_value_for(field)
+
+        kwargs[column] = value
+    return kwargs
+
+
+def _build_stop_point(row: dict[str, object]) -> Point | None:
+    """Build a ``Point(lon, lat)`` from a stops.txt row, or None if lat/lon is missing."""
+    lat = normalize_gtfs_value(row.get("stop_lat"))
+    lon = normalize_gtfs_value(row.get("stop_lon"))
+    if lat is None or lon is None:
+        return None
+    try:
+        return Point(float(lon), float(lat))
+    except (TypeError, ValueError) as exc:
+        logger.warning("Skipping stop_point for row with bad lat/lon (%s, %s): %s", lat, lon, exc)
+        return None
+
+
+def _import_table(
+    table_name: str, model: type[db_models.Model], zf: zipfile.ZipFile, feed: Feed
+) -> int:
+    """Import one GTFS ``.txt`` file from *zf* into *model*, tagged with *feed*."""
+    filename = f"{table_name}.txt"
+    if filename not in zf.namelist():
+        return 0
+
+    fields = _model_fields(model)
+    table = pd.read_csv(zf.open(filename), dtype=str, keep_default_na=False, na_values="")
+    columns = [c for c in fields if c in table.columns]
+    table = table[columns]
+
+    instances: list[db_models.Model] = []
+    for raw_row in table.to_dict(orient="records"):
+        try:
+            kwargs = _coerce_row(model, raw_row)
+            kwargs["feed"] = feed
+            if model is Stop:
+                kwargs["stop_point"] = _build_stop_point(raw_row)
+            instances.append(model(**kwargs))
+        except (ValueError, TypeError) as exc:
+            # E.g. a GTFS time hour >= 24 (TimeField can't hold it), or a
+            # malformed date/decimal. Logged and skipped rather than
+            # aborting the whole table/import for one bad row.
+            logger.warning("Skipping malformed %s row %r: %s", table_name, raw_row, exc)
+
+    # `model` is a `type[db_models.Model]` parameter (any of the concrete
+    # feed.models classes at call sites below); django-stubs can't resolve
+    # `.objects` on the generic base-class type here even though every
+    # concrete subclass has it via Django's default manager.
+    model.objects.bulk_create(instances, batch_size=2000)  # type: ignore[attr-defined]
+    return len(instances)
+
+
+def _resolve_new_etag(resp: requests.Response) -> str | None:
+    """Prefer the ETag header; fall back to Last-Modified. None means 'always import'."""
+    etag = resp.headers.get("ETag")
+    if etag:
+        return etag
+    return resp.headers.get("Last-Modified")
+
+
+def _parse_last_modified(resp: requests.Response) -> datetime:
+    """Parse the Last-Modified header into a UTC datetime, defaulting to now() if absent/invalid."""
+    raw = resp.headers.get("Last-Modified")
+    if not raw:
+        return datetime.now(timezone.utc)
+    try:
+        return datetime.strptime(raw, "%a, %d %b %Y %H:%M:%S %Z").replace(tzinfo=timezone.utc)
+    except ValueError:
+        logger.warning("Unparseable Last-Modified header %r; using now()", raw)
+        return datetime.now(timezone.utc)
+
+
+def import_schedule_if_changed(provider: GTFSProvider) -> bool:
+    """Import *provider*'s GTFS Schedule zip when its upstream ETag changed.
+
+    Returns True if a new Feed was imported, False if unchanged or on error.
+    """
+    if not provider.schedule_url:
+        logger.warning("GTFSProvider %s has no schedule_url; skipping", provider.code)
+        return False
+
+    current_feed = (
+        Feed.objects.filter(gtfs_provider=provider, is_current=True)
+        .order_by("-retrieved_at")
+        .first()
+    )
+    current_tag = current_feed.http_etag if current_feed else None
+
+    try:
+        head_resp = requests.head(provider.schedule_url, timeout=_REQUEST_TIMEOUT)
+        head_resp.raise_for_status()
+    except requests.RequestException:
+        logger.exception("HEAD request failed for provider %s", provider.code)
+        return False
+
+    new_tag = _resolve_new_etag(head_resp)
+    if new_tag is not None and new_tag == current_tag:
+        logger.info("Provider %s schedule up to date (etag=%s)", provider.code, new_tag)
+        return False
+
+    try:
+        get_resp = requests.get(provider.schedule_url, timeout=_REQUEST_TIMEOUT)
+        get_resp.raise_for_status()
+        schedule_zip = zipfile.ZipFile(io.BytesIO(get_resp.content))
+    except (requests.RequestException, zipfile.BadZipFile):
+        logger.exception("Failed to download/parse schedule zip for provider %s", provider.code)
+        return False
+
+    last_modified = _parse_last_modified(head_resp)
+    feed_id = f"{provider.code} ({last_modified.strftime('%Y-%m-%d %H:%M:%S %Z')})"
+
+    # Everything from here on mutates the DB: flipping the previous current
+    # feed, creating the new one, and importing every table. Wrap it all in
+    # one transaction so a failure partway through (e.g. a table that fails
+    # bulk_create) rolls back cleanly instead of leaving a half-imported
+    # Feed marked is_current=True. The HTTP + etag comparison above stays
+    # outside the transaction since it does no DB writes.
+    try:
+        with transaction.atomic():
+            if current_feed is not None:
+                current_feed.is_current = False
+                current_feed.save(update_fields=["is_current"])
+
+            feed = Feed.objects.create(
+                feed_id=feed_id,
+                http_etag=new_tag,
+                http_last_modified=last_modified,
+                is_current=True,
+                gtfs_provider=provider,
+            )
+
+            for table_name, model in _TABLES:
+                count = _import_table(table_name, model, schedule_zip, feed)
+                logger.info("Imported %d rows into %s for feed %s", count, table_name, feed_id)
+    except Exception:
+        logger.exception(
+            "Import failed for provider %s; rolled back feed %s", provider.code, feed_id
+        )
+        return False
+
+    return True
diff --git a/backend/feed/tests/test_schedule_importer.py b/backend/feed/tests/test_schedule_importer.py
new file mode 100644
index 0000000..57db1f2
--- /dev/null
+++ b/backend/feed/tests/test_schedule_importer.py
@@ -0,0 +1,322 @@
+"""Tests for the GTFS Schedule zip importer.
+
+Requires a PostGIS-enabled test database (models use PointField). HTTP is
+mocked at the module boundary (`feed.schedule.importer.requests`) since
+there's no `responses`/`requests-mock` dependency in this project.
+"""
+
+import io
+import zipfile
+from unittest.mock import Mock, patch
+
+from django.test import TestCase
+
+from feed.models import (
+    Agency,
+    Calendar,
+    CalendarDate,
+    Feed,
+    GTFSProvider,
+    Route,
+    Shape,
+    Stop,
+    StopTime,
+    Trip,
+)
+from feed.schedule.importer import import_schedule_if_changed
+from schedule_engine.tasks import fetch_schedule
+
+
+def _build_gtfs_zip_bytes(*, lean_stop_times: bool = False) -> bytes:
+    """Build a tiny but complete in-memory GTFS zip covering all imported tables.
+
+    With ``lean_stop_times=True``, stop_times.txt mirrors the real bUCR feed's
+    columns exactly (no pickup_type/drop_off_type at all) -- the shape that
+    exposed the "column absent entirely" NOT NULL bug.
+    """
+    stop_times_txt = (
+        "trip_id,arrival_time,departure_time,stop_id,stop_sequence,timepoint,"
+        "shape_dist_traveled,stop_headsign\n"
+        "T1,08:00:00,08:00:00,S1,1,1,0.0,\n"
+        "T1,08:10:00,08:10:00,S2,2,1,1.2,\n"
+        if lean_stop_times
+        else (
+            "trip_id,arrival_time,departure_time,stop_id,stop_sequence,pickup_type,drop_off_type\n"
+            "T1,08:00:00,08:00:00,S1,1,,\n"
+            "T1,08:10:00,08:10:00,S2,2,,\n"
+        )
+    )
+    files = {
+        "agency.txt": (
+            "agency_id,agency_name,agency_url,agency_timezone\n"
+            "A1,Test Agency,https://example.com,America/Costa_Rica\n"
+        ),
+        "stops.txt": (
+            "stop_id,stop_name,stop_lat,stop_lon,parent_station\n"
+            "S1,Stop One,9.930000,-84.080000,\n"
+            "S2,Stop Two,9.935000,-84.085000,\n"
+        ),
+        "shapes.txt": (
+            "shape_id,shape_pt_lat,shape_pt_lon,shape_pt_sequence\n"
+            "SH1,9.930000,-84.080000,1\n"
+            "SH1,9.935000,-84.085000,2\n"
+        ),
+        "calendar.txt": (
+            "service_id,monday,tuesday,wednesday,thursday,friday,saturday,sunday,"
+            "start_date,end_date\n"
+            "WD,1,1,1,1,1,0,0,20260101,20261231\n"
+        ),
+        "calendar_dates.txt": (
+            "service_id,date,exception_type\nWD,20260101,2\n"
+        ),
+        "routes.txt": (
+            "route_id,agency_id,route_short_name,route_long_name,route_type\n"
+            "R1,A1,1,Route One,3\n"
+        ),
+        "trips.txt": (
+            "route_id,service_id,trip_id,direction_id,wheelchair_accessible,bikes_allowed\n"
+            "R1,WD,T1,0,,\n"
+        ),
+        "stop_times.txt": stop_times_txt,
+        "feed_info.txt": (
+            "feed_publisher_name,feed_publisher_url,feed_lang\n"
+            "Test Publisher,https://example.com,es\n"
+        ),
+    }
+    buf = io.BytesIO()
+    with zipfile.ZipFile(buf, "w") as zf:
+        for name, content in files.items():
+            zf.writestr(name, content)
+    return buf.getvalue()
+
+
+def _mock_head_response(etag: str | None = '"abc123"', last_modified: str | None = None) -> Mock:
+    headers = {}
+    if etag is not None:
+        headers["ETag"] = etag
+    if last_modified is not None:
+        headers["Last-Modified"] = last_modified
+    resp = Mock()
+    resp.headers = headers
+    resp.raise_for_status = Mock()
+    return resp
+
+
+def _mock_get_response(content: bytes) -> Mock:
+    resp = Mock()
+    resp.content = content
+    resp.raise_for_status = Mock()
+    return resp
+
+
+class TestImportScheduleIfChanged(TestCase):
+    """Cover new-import, unchanged, and missing-header cases for import_schedule_if_changed."""
+
+    def _provider(self, **kwargs: object) -> GTFSProvider:
+        defaults: dict[str, object] = {
+            "code": "TESTP",
+            "name": "Test Provider",
+            "schedule_url": "https://example.com/gtfs.zip",
+            "timezone": "America/Costa_Rica",
+            "is_active": True,
+        }
+        defaults.update(kwargs)
+        return GTFSProvider.objects.create(**defaults)
+
+    @patch("feed.schedule.importer.requests.get")
+    @patch("feed.schedule.importer.requests.head")
+    def test_new_etag_imports_and_populates_tables(
+        self, mock_head: Mock, mock_get: Mock
+    ) -> None:
+        provider = self._provider()
+        mock_head.return_value = _mock_head_response(etag='"new-etag"')
+        mock_get.return_value = _mock_get_response(_build_gtfs_zip_bytes())
+
+        result = import_schedule_if_changed(provider)
+
+        self.assertTrue(result)
+        feeds = Feed.objects.filter(gtfs_provider=provider, is_current=True)
+        self.assertEqual(feeds.count(), 1)
+        feed = feeds.first()
+        self.assertEqual(feed.http_etag, '"new-etag"')
+
+        self.assertEqual(Route.objects.filter(feed=feed).count(), 1)
+        self.assertEqual(Trip.objects.filter(feed=feed).count(), 1)
+        self.assertEqual(Stop.objects.filter(feed=feed).count(), 2)
+        self.assertEqual(StopTime.objects.filter(feed=feed).count(), 2)
+        self.assertEqual(Shape.objects.filter(feed=feed).count(), 2)
+        self.assertEqual(Calendar.objects.filter(feed=feed).count(), 1)
+        self.assertEqual(CalendarDate.objects.filter(feed=feed).count(), 1)
+
+        stop = Stop.objects.filter(feed=feed).first()
+        self.assertIsNotNone(stop.stop_point)
+        # parent_station is a non-nullable CharField with a blank cell in the
+        # CSV; it must be coerced to "" (not None) or bulk_create would raise
+        # a NotNullViolation.
+        self.assertEqual(stop.parent_station, "")
+
+        trip = Trip.objects.filter(feed=feed).first()
+        self.assertIsNone(trip.linked_route)
+        # blank direction_id/wheelchair_accessible/bikes_allowed -> coerced to 0
+        self.assertEqual(trip.direction_id, 0)
+        self.assertEqual(trip.wheelchair_accessible, 0)
+        self.assertEqual(trip.bikes_allowed, 0)
+
+        stop_time = StopTime.objects.filter(feed=feed, stop_id="S1").first()
+        self.assertEqual(stop_time.pickup_type, 0)
+        self.assertEqual(stop_time.drop_off_type, 0)
+
+    @patch("feed.schedule.importer.requests.get")
+    @patch("feed.schedule.importer.requests.head")
+    def test_lean_stop_times_missing_pickup_drop_off_columns_imports_as_zero(
+        self, mock_head: Mock, mock_get: Mock
+    ) -> None:
+        """Real bUCR feed shape: stop_times.txt has no pickup_type/drop_off_type
+
+        columns at all (not just blank cells). Those StopTime fields are
+        non-nullable with no default, so an entirely-absent column must still
+        be coerced to 0, not left as None.
+        """
+        provider = self._provider()
+        mock_head.return_value = _mock_head_response(etag='"lean-etag"')
+        mock_get.return_value = _mock_get_response(_build_gtfs_zip_bytes(lean_stop_times=True))
+
+        result = import_schedule_if_changed(provider)
+
+        self.assertTrue(result)
+        feed = Feed.objects.filter(gtfs_provider=provider, is_current=True).first()
+        self.assertIsNotNone(feed)
+        stop_times = StopTime.objects.filter(feed=feed)
+        self.assertEqual(stop_times.count(), 2)
+        for stop_time in stop_times:
+            self.assertEqual(stop_time.pickup_type, 0)
+            self.assertEqual(stop_time.drop_off_type, 0)
+
+    @patch("feed.schedule.importer.requests.get")
+    @patch("feed.schedule.importer.requests.head")
+    def test_same_etag_skips_import(self, mock_head: Mock, mock_get: Mock) -> None:
+        provider = self._provider()
+        current_feed = Feed.objects.create(
+            feed_id="TESTP (existing)",
+            gtfs_provider=provider,
+            http_etag='"same-etag"',
+            is_current=True,
+        )
+        mock_head.return_value = _mock_head_response(etag='"same-etag"')
+
+        result = import_schedule_if_changed(provider)
+
+        self.assertFalse(result)
+        mock_get.assert_not_called()
+        self.assertEqual(Feed.objects.count(), 1)
+        current_feed.refresh_from_db()
+        self.assertTrue(current_feed.is_current)
+
+    @patch("feed.schedule.importer.requests.get")
+    @patch("feed.schedule.importer.requests.head")
+    def test_changed_etag_flips_previous_current_feed(
+        self, mock_head: Mock, mock_get: Mock
+    ) -> None:
+        provider = self._provider()
+        old_feed = Feed.objects.create(
+            feed_id="TESTP (old)",
+            gtfs_provider=provider,
+            http_etag='"old-etag"',
+            is_current=True,
+        )
+        mock_head.return_value = _mock_head_response(etag='"new-etag"')
+        mock_get.return_value = _mock_get_response(_build_gtfs_zip_bytes())
+
+        result = import_schedule_if_changed(provider)
+
+        self.assertTrue(result)
+        old_feed.refresh_from_db()
+        self.assertFalse(old_feed.is_current)
+        self.assertEqual(Feed.objects.filter(is_current=True).count(), 1)
+
+    @patch("feed.schedule.importer.requests.get")
+    @patch("feed.schedule.importer.requests.head")
+    def test_missing_etag_header_falls_back_and_still_imports(
+        self, mock_head: Mock, mock_get: Mock
+    ) -> None:
+        provider = self._provider()
+        Feed.objects.create(
+            feed_id="TESTP (existing)",
+            gtfs_provider=provider,
+            http_etag=None,
+            is_current=True,
+        )
+        # No ETag, no Last-Modified -> can't prove unchanged -> proceed with import.
+        mock_head.return_value = _mock_head_response(etag=None, last_modified=None)
+        mock_get.return_value = _mock_get_response(_build_gtfs_zip_bytes())
+
+        result = import_schedule_if_changed(provider)
+
+        self.assertTrue(result)
+        self.assertEqual(Feed.objects.filter(is_current=True).count(), 1)
+
+    def test_no_schedule_url_returns_false(self) -> None:
+        provider = self._provider(schedule_url="")
+        result = import_schedule_if_changed(provider)
+        self.assertFalse(result)
+        self.assertEqual(Feed.objects.count(), 0)
+
+    @patch("feed.models.StopTime.objects.bulk_create")
+    @patch("feed.schedule.importer.requests.get")
+    @patch("feed.schedule.importer.requests.head")
+    def test_mid_import_failure_rolls_back_whole_feed(
+        self, mock_head: Mock, mock_get: Mock, mock_bulk_create: Mock
+    ) -> None:
+        """A failure partway through (here, stop_times) must leave no trace: no new
+        Feed, and none of the earlier tables' rows (agency, stops, ...) persisted.
+        """
+        provider = self._provider()
+        mock_head.return_value = _mock_head_response(etag='"new-etag"')
+        mock_get.return_value = _mock_get_response(_build_gtfs_zip_bytes())
+        mock_bulk_create.side_effect = RuntimeError("simulated mid-import DB failure")
+
+        result = import_schedule_if_changed(provider)
+
+        self.assertFalse(result)
+        self.assertEqual(Feed.objects.count(), 0)
+        self.assertEqual(Agency.objects.count(), 0)
+        self.assertEqual(Stop.objects.count(), 0)
+        self.assertEqual(Route.objects.count(), 0)
+        self.assertEqual(Trip.objects.count(), 0)
+
+
+class TestFetchScheduleTask(TestCase):
+    """Cover the fetch_schedule Celery task's provider iteration."""
+
+    def test_no_active_providers_returns_message(self) -> None:
+        GTFSProvider.objects.create(
+            code="INACTIVE",
+            name="Inactive Provider",
+            schedule_url="https://example.com/gtfs.zip",
+            timezone="America/Costa_Rica",
+            is_active=False,
+        )
+        result = fetch_schedule()
+        self.assertIn("no active providers", result)
+        self.assertEqual(Feed.objects.count(), 0)
+
+    @patch("feed.schedule.importer.requests.get")
+    @patch("feed.schedule.importer.requests.head")
+    def test_active_provider_gets_updated(self, mock_head: Mock, mock_get: Mock) -> None:
+        provider = GTFSProvider.objects.create(
+            code="ACTIVEP",
+            name="Active Provider",
+            schedule_url="https://example.com/gtfs.zip",
+            timezone="America/Costa_Rica",
+            is_active=True,
+        )
+        mock_head.return_value = _mock_head_response(etag='"etag-1"')
+        mock_get.return_value = _mock_get_response(_build_gtfs_zip_bytes())
+
+        result = fetch_schedule()
+
+        self.assertIn("ACTIVEP", result)
+        self.assertIn("updated=", result)
+        self.assertEqual(
+            Feed.objects.filter(gtfs_provider=provider, is_current=True).count(), 1
+        )
diff --git a/backend/schedule_engine/tasks.py b/backend/schedule_engine/tasks.py
index ba4596b..81ea88c 100644
--- a/backend/schedule_engine/tasks.py
+++ b/backend/schedule_engine/tasks.py
@@ -138,3 +138,34 @@ def build_schedule() -> str | None:
 
     dest = publish_gtfs_zip(feed)
     return f"GTFS Schedule zip published: {dest} ({dest.stat().st_size} bytes)"
+
+
+@shared_task(queue="schedule_engine")
+def fetch_schedule() -> str:
+    """HEAD-check active providers' GTFS Schedule ETags and import any that changed."""
+    import logging
+
+    logger = logging.getLogger(__name__)
+
+    from feed.models import GTFSProvider
+    from feed.schedule.importer import import_schedule_if_changed
+
+    providers = list(GTFSProvider.objects.filter(is_active=True))
+    if not providers:
+        logger.warning("fetch_schedule: no active GTFSProvider rows found")
+        return "fetch_schedule: no active providers"
+
+    updated: list[str] = []
+    unchanged: list[str] = []
+    errored: list[str] = []
+    for provider in providers:
+        try:
+            if import_schedule_if_changed(provider):
+                updated.append(provider.code)
+            else:
+                unchanged.append(provider.code)
+        except Exception:
+            logger.exception("fetch_schedule: error importing provider %s", provider.code)
+            errored.append(provider.code)
+
+    return f"fetch_schedule: updated={updated} unchanged={unchanged} errored={errored}"

From 28cf925ae1d3055c6960a7b26e3adf43276394db Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Fabi=C3=A1n=20Abarca=20Calder=C3=B3n?=
 <ensinergia@gmail.com>
Date: Fri, 4 Sep 2026 15:44:51 -0300
Subject: [PATCH 67/68] chore(feed): add TransitSystems and FeedPublisher to
 allow multi-tenancy and test the GTFS Schedule importer

---
 backend/databus/celery.py                    |     2 +-
 backend/feed/README.md                       |     9 +-
 backend/feed/admin.py                        |     6 +-
 backend/feed/fixtures/gtfs.json              | 65496 ++++++++---------
 backend/feed/fixtures/gtfs_old.json          | 65468 ++++++++--------
 backend/feed/models.py                       |    83 +-
 backend/feed/schedule/importer.py            |    51 +-
 backend/feed/tests/test_schedule_importer.py |    38 +-
 backend/gtfs-eta                             |     2 +-
 backend/schedule_engine/tasks.py             |    40 +-
 backend/uv.lock                              |     3 +
 docs/content/data-model/django-models.md     |   168 +-
 12 files changed, 65714 insertions(+), 65652 deletions(-)
 mode change 120000 => 160000 backend/gtfs-eta

diff --git a/backend/databus/celery.py b/backend/databus/celery.py
index 5fb3b04..ec08bc6 100644
--- a/backend/databus/celery.py
+++ b/backend/databus/celery.py
@@ -6,7 +6,7 @@
 `build-trip-updates-every-15s` rebuild the two GTFS-RT feeds every 15s;
 `scan-stale-runs-every-30s` sweeps for runs that have gone quiet;
 `build-schedule-daily` rebuilds the GTFS Schedule zip once a day; and
-`fetch-schedule-hourly-at-30` HEAD-checks each active GTFSProvider's schedule_url ETag
+`fetch-schedule-hourly-at-30` HEAD-checks each active FeedPublisher's schedule_url ETag
 every hour at :30 and imports the GTFS Schedule when it changed.
 """
 
diff --git a/backend/feed/README.md b/backend/feed/README.md
index 614bb0f..5be69e0 100644
--- a/backend/feed/README.md
+++ b/backend/feed/README.md
@@ -1,11 +1,11 @@
 # Feed · GTFS Schedule domain + published feed files
 
-- **Purpose**: owns the GTFS Schedule domain models, feed versioning (`GTFSProvider`/`Feed`), the
+- **Purpose**: owns the GTFS Schedule domain models, feed versioning (`FeedPublisher`/`Feed`), the
   Schedule zip exporter, and the HTTP endpoints that serve published GTFS Schedule and GTFS
-  Realtime files from disk. Not to be confused with `schedule_engine`, which *builds* the GTFS-RT
+  Realtime files from disk. Not to be confused with `schedule_engine`, which _builds_ the GTFS-RT
   protobufs consumed here.
 - **Key modules**:
-  - `models.py` — `GTFSProvider`, `Feed`, and one concrete model per GTFS Schedule table
+  - `models.py` — `FeedPublisher`, `Feed`, and one concrete model per GTFS Schedule table
   - `schedule/exporter.py` — `build_gtfs_zip` / `publish_gtfs_zip`
   - `management/commands/export_gtfs.py` — `manage.py export_gtfs`
   - `views.py` / `urls.py` — file-serving endpoints
@@ -22,7 +22,7 @@ the registration-UI lookups in `api`. `FeedMessage`/`TripUpdate`/`StopTimeUpdate
 model the normalized GTFS-RT entities for persisted blobs; `Alert` is a placeholder (TODO in
 source, not fed by any current pipeline).
 
-`GTFSProvider` is the org that supplies a feed (may serve multiple agencies); `Feed` is one
+`FeedPublisher` is the org that supplies a feed (may serve multiple agencies); `Feed` is one
 retrieved version, marked `is_current=True` to select the active feed. `is_current` is read
 directly by `api`'s `WhichShapesView`/`FindTripsView` and by the exporter — there is no automatic
 supersession logic in this app; whichever `Feed` is flagged is authoritative.
@@ -56,6 +56,7 @@ No app-specific env vars.
 ```
 docker compose -f compose.dev.yml run --rm orchestrator uv run pytest feed/ -q
 ```
+
 `make test` runs the full suite.
 
 ## Docs
diff --git a/backend/feed/admin.py b/backend/feed/admin.py
index 0e4c89c..dc192c0 100644
--- a/backend/feed/admin.py
+++ b/backend/feed/admin.py
@@ -3,6 +3,7 @@
 from django.contrib.gis import admin
 
 from .models import (
+    TransitSystem,
     Agency,
     Calendar,
     CalendarDate,
@@ -12,7 +13,7 @@
     FeedInfo,
     FeedMessage,
     GeoShape,
-    GTFSProvider,
+    FeedPublisher,
     Route,
     RouteStop,
     Shape,
@@ -35,7 +36,8 @@ class StopAdmin(admin.GISModelAdmin):
     exclude = ["stop_lat", "stop_lon"]
 
 
-admin.site.register(GTFSProvider)
+admin.site.register(TransitSystem)
+admin.site.register(FeedPublisher)
 admin.site.register(Feed)
 admin.site.register(Agency)
 admin.site.register(Stop, StopAdmin)
diff --git a/backend/feed/fixtures/gtfs.json b/backend/feed/fixtures/gtfs.json
index d1248cf..0171472 100644
--- a/backend/feed/fixtures/gtfs.json
+++ b/backend/feed/fixtures/gtfs.json
@@ -1,32749 +1,32749 @@
 [
-    {
-        "model": "feed.agency",
-        "pk": 1,
-        "fields": {
-            "feed": "1",
-            "agency_id": "bUCR",
-            "agency_name": "Buses de la Universidad de Costa Rica",
-            "agency_url": "https://bus.ucr.ac.cr/",
-            "agency_timezone": "America/Costa_Rica",
-            "agency_lang": "es",
-            "agency_phone": "25112919",
-            "agency_fare_url": "https://bus.ucr.ac.cr/#tarifas",
-            "agency_email": "bus@ucr.ac.cr"
-        }
-    },
-    {
-        "model": "feed.route",
-        "pk": 1,
-        "fields": {
-            "feed": "1",
-            "route_id": "bUCR_L1",
-            "agency_id": "bUCR",
-            "route_short_name": "bUCR L1",
-            "route_long_name": "Bus interno UCR sin milla",
-            "route_desc": "Esta ruta conecta las tres fincas del Campus Universitario Rodrigo Facio en San Pedro de Montes de Oca, y no incluye la vuelta por la milla universitaria.",
-            "route_type": 3,
-            "route_url": "https://bus.ucr.ac.cr/#L1",
-            "route_color": "00C0F3",
-            "route_text_color": "FFFFFF",
-            "route_sort_order": null
-        }
-    },
-    {
-        "model": "feed.route",
-        "pk": 2,
-        "fields": {
-            "feed": "1",
-            "route_id": "bUCR_L2",
-            "agency_id": "bUCR",
-            "route_short_name": "bUCR L2",
-            "route_long_name": "Bus interno UCR con milla",
-            "route_desc": "Esta ruta conecta las tres fincas del Campus Universitario Rodrigo Facio en San Pedro de Montes de Oca, e incluye la vuelta por la milla universitaria.",
-            "route_type": 3,
-            "route_url": "https://bus.ucr.ac.cr/#L2",
-            "route_color": "005DA4",
-            "route_text_color": "FFFFFF",
-            "route_sort_order": null
-        }
-    },
-    {
-        "model": "feed.stop",
-        "pk": 1,
-        "fields": {
-            "feed": "1",
-            "stop_id": "bUCR_0_01",
-            "stop_code": "",
-            "stop_name": "Facultad de Educación",
-            "stop_desc": "Frente al jardín de la Facultad de Educación (FE)",
-            "stop_lat": 9.935610136323218,
-            "stop_lon": -84.04899295728595,
-            "stop_point": "SRID=4326;POINT (-84.04899295728595 9.935610136323218)",
-            "zone_id": "bUCR_0",
-            "stop_url": "",
-            "location_type": 0,
-            "parent_station": "",
-            "stop_timezone": "",
-            "wheelchair_boarding": 1,
-            "platform_code": ""
-        }
-    },
-    {
-        "model": "feed.stop",
-        "pk": 2,
-        "fields": {
-            "feed": "1",
-            "stop_id": "bUCR_0_02",
-            "stop_code": "",
-            "stop_name": "Escuela de Artes Plásticas",
-            "stop_desc": "Nuevo edificio de la Escuela de Artes Plásticas (EAP)",
-            "stop_lat": 9.935501598287884,
-            "stop_lon": -84.05217559901489,
-            "stop_point": "SRID=4326;POINT (-84.05217559901489 9.935501598287884)",
-            "zone_id": "bUCR_0",
-            "stop_url": "",
-            "location_type": 0,
-            "parent_station": "",
-            "stop_timezone": "",
-            "wheelchair_boarding": 1,
-            "platform_code": ""
-        }
-    },
-    {
-        "model": "feed.stop",
-        "pk": 3,
-        "fields": {
-            "feed": "1",
-            "stop_id": "bUCR_0_03",
-            "stop_code": "",
-            "stop_name": "Biblioteca de Ciencias de la Salud",
-            "stop_desc": "Frente al antiguo edificio de la Facultad de Odontología (FOd), diagonal al parqueo de la Biblioteca de Ciencias de la Salud",
-            "stop_lat": 9.93860832346218,
-            "stop_lon": -84.0517499001992,
-            "stop_point": "SRID=4326;POINT (-84.0517499001992 9.93860832346218)",
-            "zone_id": "bUCR_0",
-            "stop_url": "",
-            "location_type": 0,
-            "parent_station": "",
-            "stop_timezone": "",
-            "wheelchair_boarding": 1,
-            "platform_code": ""
-        }
-    },
-    {
-        "model": "feed.stop",
-        "pk": 4,
-        "fields": {
-            "feed": "1",
-            "stop_id": "bUCR_0_04",
-            "stop_code": "",
-            "stop_name": "Facultad de Microbiología",
-            "stop_desc": "Esquina noreste del parqueo de las Escuelas de Artes Musicales (EAM), Química (EQ) y Biología (EB) y la Facultad de Microbiología (FMic)",
-            "stop_lat": 9.93832361909286,
-            "stop_lon": -84.04876049840074,
-            "stop_point": "SRID=4326;POINT (-84.04876049840074 9.93832361909286 )",
-            "zone_id": "bUCR_0",
-            "stop_url": "",
-            "location_type": 0,
-            "parent_station": "",
-            "stop_timezone": "",
-            "wheelchair_boarding": 1,
-            "platform_code": ""
-        }
-    },
-    {
-        "model": "feed.stop",
-        "pk": 5,
-        "fields": {
-            "feed": "1",
-            "stop_id": "bUCR_0_05",
-            "stop_code": "",
-            "stop_name": "Laboratorio Nacional de Materiales y Modelos Estructurales (LanammeUCR)",
-            "stop_desc": "Junto al parqueo del Centro de Transferencia Tecnológica (CTT), diagonal al Laboratorio Nacional de Materiales y Modelos Estructurales (LANAMME)",
-            "stop_lat": 9.935903915437937,
-            "stop_lon": -84.04537504744147,
-            "stop_point": "SRID=4326;POINT (-84.04537504744147 9.935903915437937)",
-            "zone_id": "bUCR_0",
-            "stop_url": "",
-            "location_type": 0,
-            "parent_station": "bUCR_LA",
-            "stop_timezone": "",
-            "wheelchair_boarding": 2,
-            "platform_code": ""
-        }
-    },
-    {
-        "model": "feed.stop",
-        "pk": 6,
-        "fields": {
-            "feed": "1",
-            "stop_id": "bUCR_0_06",
-            "stop_code": "",
-            "stop_name": "Facultad de Ingeniería",
-            "stop_desc": "Costado norte del nuevo edificio de la Facultad de Ingeniería (FI)",
-            "stop_lat": 9.937467311441509,
-            "stop_lon": -84.04467644300775,
-            "stop_point": "SRID=4326;POINT (-84.04467644300775 9.937467311441507)",
-            "zone_id": "bUCR_0",
-            "stop_url": "",
-            "location_type": 0,
-            "parent_station": "bUCR_FI",
-            "stop_timezone": "",
-            "wheelchair_boarding": 2,
-            "platform_code": ""
-        }
-    },
-    {
-        "model": "feed.stop",
-        "pk": 7,
-        "fields": {
-            "feed": "1",
-            "stop_id": "bUCR_0_07",
-            "stop_code": "",
-            "stop_name": "Facultad de Ciencias Sociales",
-            "stop_desc": "Entre la Facultad de Ciencias Sociales (FCS) y el edificio de parqueos",
-            "stop_lat": 9.938029607676915,
-            "stop_lon": -84.04237892478906,
-            "stop_point": "SRID=4326;POINT (-84.04237892478906 9.938029607676915)",
-            "zone_id": "bUCR_0",
-            "stop_url": "",
-            "location_type": 0,
-            "parent_station": "bUCR_CS",
-            "stop_timezone": "",
-            "wheelchair_boarding": 2,
-            "platform_code": ""
-        }
-    },
-    {
-        "model": "feed.stop",
-        "pk": 8,
-        "fields": {
-            "feed": "1",
-            "stop_id": "bUCR_0_08",
-            "stop_code": "",
-            "stop_name": "Instituto de Investigación en Educación (INIE)",
-            "stop_desc": "Costado sur del edificio del Instituto de Investigación en Educación (INIE)",
-            "stop_lat": 9.939451647823136,
-            "stop_lon": -84.04307776266035,
-            "stop_point": "SRID=4326;POINT (-84.04307776266035 9.939451647823137)",
-            "zone_id": "bUCR_0",
-            "stop_url": "",
-            "location_type": 0,
-            "parent_station": "",
-            "stop_timezone": "",
-            "wheelchair_boarding": 2,
-            "platform_code": ""
-        }
-    },
-    {
-        "model": "feed.stop",
-        "pk": 9,
-        "fields": {
-            "feed": "1",
-            "stop_id": "bUCR_0_09",
-            "stop_code": "",
-            "stop_name": "Centro de Investigación en Cirugía y Cáncer (CICICA)",
-            "stop_desc": "Costado sur del edificio del Centro de Investigación en Cirugía y Cáncer (CICICA)",
-            "stop_lat": 9.940155168862551,
-            "stop_lon": -84.04450675690296,
-            "stop_point": "SRID=4326;POINT (-84.04450675690296 9.940155168862551)",
-            "zone_id": "bUCR_0",
-            "stop_url": "",
-            "location_type": 0,
-            "parent_station": "",
-            "stop_timezone": "",
-            "wheelchair_boarding": 2,
-            "platform_code": ""
-        }
-    },
-    {
-        "model": "feed.stop",
-        "pk": 10,
-        "fields": {
-            "feed": "1",
-            "stop_id": "bUCR_0_10",
-            "stop_code": "",
-            "stop_name": "Oficina de Bienestar y Salud (OBS)",
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diff --git a/backend/feed/fixtures/gtfs_old.json b/backend/feed/fixtures/gtfs_old.json
index a67b93c..eb169b6 100644
--- a/backend/feed/fixtures/gtfs_old.json
+++ b/backend/feed/fixtures/gtfs_old.json
@@ -1,32735 +1,32735 @@
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+  },
+  {
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+    "pk": 5,
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+    }
+  },
+  {
+    "model": "gtfs.geoshape",
+    "pk": 6,
+    "fields": {
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+      "shape_id": "hacia_educacion",
+      "geometry": "SRID=4326;LINESTRING(-84.0451915613564 9.946441050827925, -84.04495180739714 9.943381444081362, -84.04483991497501 9.941220574743566, -84.04468654565294 9.939134591559855, -84.0436758508172 9.938980381389706, -84.042189216776 9.939472792042086, -84.04229551510366 9.938130529026141, -84.04501822768842 9.937468669419962, -84.04546950911886 9.93589305371453, -84.04899295728595 9.935610136323218)",
+      "has_altitude": false
+    }
+  },
+  {
+    "model": "gtfs.gtfsprovider",
+    "pk": 1,
+    "fields": {
+      "code": "bUCR",
+      "name": "bUCR",
+      "description": "Bus de la UCR",
+      "website": "https://bucr.digital",
+      "schedule_url": null,
+      "trip_updates_url": null,
+      "vehicle_positions_url": null,
+      "service_alerts_url": null,
+      "timezone": "America/costa_rica",
+      "is_active": true
+    }
+  },
+  {
+    "model": "gtfs.feed",
+    "pk": 1,
+    "fields": {
+      "feed_publisher": 1,
+      "http_etag": null,
+      "http_last_modified": "2024-07-11T00:00:00Z",
+      "is_current": true,
+      "retrieved_at": "2024-07-11T04:28:41.332Z"
+    }
+  }
+]
diff --git a/backend/feed/models.py b/backend/feed/models.py
index add6071..71ec9e0 100644
--- a/backend/feed/models.py
+++ b/backend/feed/models.py
@@ -1,4 +1,4 @@
-"""GTFS Schedule Django models, plus GTFSProvider/Feed for feed versioning."""
+"""GTFS Schedule Django models, plus FeedPublisher/Feed for feed versioning."""
 
 import re
 from typing import TYPE_CHECKING, Any
@@ -33,57 +33,78 @@ def validate_no_spaces_or_special_symbols(value: str) -> None:
         )
 
 
-class GTFSProvider(models.Model):
-    """A provider provides transportation services GTFS data.
+class TransitSystem(models.Model):
+    """A transit system is a collection of GTFS providers that serve a common purpose, for example, the public transportation system of a city or country."""
 
-    It might or might not be the same as the agency in the GTFS feed. A GTFS provider can serve multiple agencies.
-    """
-
-    provider_id = models.BigAutoField(primary_key=True)
+    name = models.CharField(max_length=255, help_text="Name of the transit system.")
     code = models.CharField(
         max_length=31,
-        help_text="Código (típicamente el acrónimo) de la empresa. No debe tener espacios ni símbolos especiales.",
+        help_text="Transit system code (typically its acronym). It must not contain spaces or special characters.",
         validators=[validate_no_spaces_or_special_symbols],
+        unique=True,
     )
-    name = models.CharField(max_length=255, help_text="Nombre de la empresa.")
     description = models.TextField(
-        blank=True, null=True, help_text="Descripción de la institución o empresa."
+        blank=True, null=True, help_text="Description of the transit system."
     )
-    website = models.URLField(
-        blank=True, null=True, help_text="Sitio web de la empresa."
+    is_active = models.BooleanField(
+        default=False, help_text="Whether the transit system is active."
     )
-    schedule_url = models.URLField(
-        blank=True,
-        null=True,
-        help_text="URL del suministro (Feed) de GTFS Schedule (.zip).",
+
+    def __str__(self):
+        """Return the transit system code and name."""
+        return f"{self.code}: {self.name}"
+
+
+class FeedPublisher(models.Model):
+    """Represent a GTFS data publisher for one transit system, potentially distinct from and serving multiple feed agencies, with schedule and realtime endpoints."""
+
+    transit_system = models.ForeignKey(
+        TransitSystem,
+        help_text="Transit system served by the feed publisher.",
+        on_delete=models.CASCADE,
     )
-    trip_updates_url = models.URLField(
+    code = models.CharField(
+        max_length=31,
+        help_text="Company code (typically its acronym). It must not contain spaces or special characters.",
+        validators=[validate_no_spaces_or_special_symbols],
+        unique=True,
+    )
+    name = models.CharField(max_length=255, help_text="Name of the company.")
+    description = models.TextField(
+        blank=True, null=True, help_text="Description of the institution or company."
+    )
+    lang = models.CharField(
+        max_length=15,
         blank=True,
         null=True,
-        help_text="URL del suministro (FeedMessage) de la entidad GTFS Realtime TripUpdates (.pb).",
+        help_text="Language of the data provided by the publisher, in ISO 639-1 alpha-2 or alpha-3 format. Examples: es, en, fr.",
     )
-    vehicle_positions_url = models.URLField(
+    contact_email = models.EmailField(
         blank=True,
         null=True,
-        help_text="URL del suministro (FeedMessage) de la entidad GTFS Realtime VehiclePositions (.pb).",
+        help_text="Contact email address for the data publisher.",
+    )
+    contact_url = models.URLField(
+        blank=True, null=True, help_text="Contact URL for the data publisher."
     )
-    service_alerts_url = models.URLField(
+    website = models.URLField(blank=True, null=True, help_text="Company website.")
+    schedule_url = models.URLField(
         blank=True,
         null=True,
-        help_text="URL del suministro (FeedMessage) de la entidad GTFS Realtime ServiceAlerts (.pb).",
+        help_text="URL of the GTFS Schedule feed (.zip).",
     )
     timezone = models.CharField(
         max_length=63,
-        help_text="Zona horaria del proveedor de datos (asume misma zona horaria para todas las agencias). Ejemplo: America/Costa_Rica.",
+        help_text="Time zone of the data publisher (assumed to be the same for all agencies). Example: America/Costa_Rica.",
     )
     is_active = models.BooleanField(
         default=False,
-        help_text="¿Está activo el proveedor de datos? Si no, no se importarán los datos de este proveedor.",
+        help_text="Whether the data publisher is active. If inactive, data from this publisher will not be imported.",
     )
 
-    def __str__(self) -> str:
-        """Return the provider's display name and code."""
-        return f"{self.name} ({self.code})"
+    def __str__(self):
+        """Return a string representation of the GTFS provider."""
+        return f"{self.transit_system.code}: {self.name} ({self.code})"
 
 
 # -------------
@@ -105,8 +126,8 @@ class Feed(models.Model):  # type: ignore[django-manager-missing]
     """One retrieved version of a GTFS Schedule feed from a provider."""
 
     feed_id = models.CharField(max_length=100, primary_key=True, unique=True)
-    gtfs_provider = models.ForeignKey(
-        GTFSProvider, on_delete=models.SET_NULL, blank=True, null=True
+    feed_publisher = models.ForeignKey(
+        FeedPublisher, on_delete=models.SET_NULL, blank=True, null=True
     )
     http_etag = models.CharField(max_length=1023, blank=True, null=True)
     http_last_modified = models.DateTimeField(blank=True, null=True)
@@ -637,8 +658,8 @@ class FeedMessage(models.Model):
     )
 
     feed_message_id = models.CharField(max_length=63, primary_key=True)
-    provider = models.ForeignKey(
-        GTFSProvider, on_delete=models.SET_NULL, blank=True, null=True
+    feed_publisher = models.ForeignKey(
+        FeedPublisher, on_delete=models.SET_NULL, blank=True, null=True
     )
     entity_type = models.CharField(max_length=63, choices=ENTITY_TYPE_CHOICES)
     timestamp = models.DateTimeField(auto_now=True)
diff --git a/backend/feed/schedule/importer.py b/backend/feed/schedule/importer.py
index c7586f1..461f52a 100644
--- a/backend/feed/schedule/importer.py
+++ b/backend/feed/schedule/importer.py
@@ -1,7 +1,7 @@
 """GTFS Schedule zip importer.
 
 Ported from infobús's ``save_schedule_to_database``, adapted for databús's
-``GTFSProvider``/``Feed`` schema. HEAD-checks a provider's upstream
+``FeedPublisher``/``Feed`` schema. HEAD-checks a provider's upstream
 ``schedule_url`` ETag; if it differs from the current ``Feed``'s, downloads
 and bulk-imports the new GTFS zip table-by-table, flips ``is_current``, and
 returns ``True``.
@@ -34,7 +34,7 @@
     CalendarDate,
     Feed,
     FeedInfo,
-    GTFSProvider,
+    FeedPublisher,
     Route,
     Shape,
     Stop,
@@ -104,7 +104,8 @@ def _importable_fields(model: type[db_models.Model]) -> list[db_models.Field]:
     return [
         field
         for field in model._meta.local_fields
-        if field.name not in _EXCLUDE_FIELD_NAMES and not field.name.startswith("linked_")
+        if field.name not in _EXCLUDE_FIELD_NAMES
+        and not field.name.startswith("linked_")
     ]
 
 
@@ -123,14 +124,18 @@ def _empty_value_for(field: db_models.Field) -> object:
     """
     if field.has_default():
         return field.get_default()
-    if isinstance(field, (db_models.IntegerField, db_models.FloatField, db_models.DecimalField)):
+    if isinstance(
+        field, (db_models.IntegerField, db_models.FloatField, db_models.DecimalField)
+    ):
         return 0
     if isinstance(field, (db_models.CharField, db_models.TextField)):
         return ""
     return None
 
 
-def _coerce_row(model: type[db_models.Model], row: dict[str, object]) -> dict[str, object]:
+def _coerce_row(
+    model: type[db_models.Model], row: dict[str, object]
+) -> dict[str, object]:
     """Normalize one CSV row's raw string values into model constructor kwargs.
 
     Iterates *model*'s full importable field set -- not just the columns
@@ -149,7 +154,11 @@ def _coerce_row(model: type[db_models.Model], row: dict[str, object]) -> dict[st
         value: object
         if column in row:
             raw_value = row[column]
-            value = gtfs_date(raw_value) if column in date_fields else normalize_gtfs_value(raw_value)
+            value = (
+                gtfs_date(raw_value)
+                if column in date_fields
+                else normalize_gtfs_value(raw_value)
+            )
         else:
             value = None
 
@@ -169,7 +178,9 @@ def _build_stop_point(row: dict[str, object]) -> Point | None:
     try:
         return Point(float(lon), float(lat))
     except (TypeError, ValueError) as exc:
-        logger.warning("Skipping stop_point for row with bad lat/lon (%s, %s): %s", lat, lon, exc)
+        logger.warning(
+            "Skipping stop_point for row with bad lat/lon (%s, %s): %s", lat, lon, exc
+        )
         return None
 
 
@@ -182,7 +193,9 @@ def _import_table(
         return 0
 
     fields = _model_fields(model)
-    table = pd.read_csv(zf.open(filename), dtype=str, keep_default_na=False, na_values="")
+    table = pd.read_csv(
+        zf.open(filename), dtype=str, keep_default_na=False, na_values=""
+    )
     columns = [c for c in fields if c in table.columns]
     table = table[columns]
 
@@ -222,23 +235,25 @@ def _parse_last_modified(resp: requests.Response) -> datetime:
     if not raw:
         return datetime.now(timezone.utc)
     try:
-        return datetime.strptime(raw, "%a, %d %b %Y %H:%M:%S %Z").replace(tzinfo=timezone.utc)
+        return datetime.strptime(raw, "%a, %d %b %Y %H:%M:%S %Z").replace(
+            tzinfo=timezone.utc
+        )
     except ValueError:
         logger.warning("Unparseable Last-Modified header %r; using now()", raw)
         return datetime.now(timezone.utc)
 
 
-def import_schedule_if_changed(provider: GTFSProvider) -> bool:
+def import_schedule_if_changed(provider: FeedPublisher) -> bool:
     """Import *provider*'s GTFS Schedule zip when its upstream ETag changed.
 
     Returns True if a new Feed was imported, False if unchanged or on error.
     """
     if not provider.schedule_url:
-        logger.warning("GTFSProvider %s has no schedule_url; skipping", provider.code)
+        logger.warning("FeedPublisher %s has no schedule_url; skipping", provider.code)
         return False
 
     current_feed = (
-        Feed.objects.filter(gtfs_provider=provider, is_current=True)
+        Feed.objects.filter(feed_publisher=provider, is_current=True)
         .order_by("-retrieved_at")
         .first()
     )
@@ -260,8 +275,10 @@ def import_schedule_if_changed(provider: GTFSProvider) -> bool:
         get_resp = requests.get(provider.schedule_url, timeout=_REQUEST_TIMEOUT)
         get_resp.raise_for_status()
         schedule_zip = zipfile.ZipFile(io.BytesIO(get_resp.content))
-    except (requests.RequestException, zipfile.BadZipFile):
-        logger.exception("Failed to download/parse schedule zip for provider %s", provider.code)
+    except requests.RequestException, zipfile.BadZipFile:
+        logger.exception(
+            "Failed to download/parse schedule zip for provider %s", provider.code
+        )
         return False
 
     last_modified = _parse_last_modified(head_resp)
@@ -284,12 +301,14 @@ def import_schedule_if_changed(provider: GTFSProvider) -> bool:
                 http_etag=new_tag,
                 http_last_modified=last_modified,
                 is_current=True,
-                gtfs_provider=provider,
+                feed_publisher=provider,
             )
 
             for table_name, model in _TABLES:
                 count = _import_table(table_name, model, schedule_zip, feed)
-                logger.info("Imported %d rows into %s for feed %s", count, table_name, feed_id)
+                logger.info(
+                    "Imported %d rows into %s for feed %s", count, table_name, feed_id
+                )
     except Exception:
         logger.exception(
             "Import failed for provider %s; rolled back feed %s", provider.code, feed_id
diff --git a/backend/feed/tests/test_schedule_importer.py b/backend/feed/tests/test_schedule_importer.py
index 57db1f2..05bd2a6 100644
--- a/backend/feed/tests/test_schedule_importer.py
+++ b/backend/feed/tests/test_schedule_importer.py
@@ -16,7 +16,7 @@
     Calendar,
     CalendarDate,
     Feed,
-    GTFSProvider,
+    FeedPublisher,
     Route,
     Shape,
     Stop,
@@ -66,9 +66,7 @@ def _build_gtfs_zip_bytes(*, lean_stop_times: bool = False) -> bytes:
             "start_date,end_date\n"
             "WD,1,1,1,1,1,0,0,20260101,20261231\n"
         ),
-        "calendar_dates.txt": (
-            "service_id,date,exception_type\nWD,20260101,2\n"
-        ),
+        "calendar_dates.txt": ("service_id,date,exception_type\nWD,20260101,2\n"),
         "routes.txt": (
             "route_id,agency_id,route_short_name,route_long_name,route_type\n"
             "R1,A1,1,Route One,3\n"
@@ -90,7 +88,9 @@ def _build_gtfs_zip_bytes(*, lean_stop_times: bool = False) -> bytes:
     return buf.getvalue()
 
 
-def _mock_head_response(etag: str | None = '"abc123"', last_modified: str | None = None) -> Mock:
+def _mock_head_response(
+    etag: str | None = '"abc123"', last_modified: str | None = None
+) -> Mock:
     headers = {}
     if etag is not None:
         headers["ETag"] = etag
@@ -112,7 +112,7 @@ def _mock_get_response(content: bytes) -> Mock:
 class TestImportScheduleIfChanged(TestCase):
     """Cover new-import, unchanged, and missing-header cases for import_schedule_if_changed."""
 
-    def _provider(self, **kwargs: object) -> GTFSProvider:
+    def _provider(self, **kwargs: object) -> FeedPublisher:
         defaults: dict[str, object] = {
             "code": "TESTP",
             "name": "Test Provider",
@@ -121,7 +121,7 @@ def _provider(self, **kwargs: object) -> GTFSProvider:
             "is_active": True,
         }
         defaults.update(kwargs)
-        return GTFSProvider.objects.create(**defaults)
+        return FeedPublisher.objects.create(**defaults)
 
     @patch("feed.schedule.importer.requests.get")
     @patch("feed.schedule.importer.requests.head")
@@ -135,7 +135,7 @@ def test_new_etag_imports_and_populates_tables(
         result = import_schedule_if_changed(provider)
 
         self.assertTrue(result)
-        feeds = Feed.objects.filter(gtfs_provider=provider, is_current=True)
+        feeds = Feed.objects.filter(feed_publisher=provider, is_current=True)
         self.assertEqual(feeds.count(), 1)
         feed = feeds.first()
         self.assertEqual(feed.http_etag, '"new-etag"')
@@ -179,12 +179,14 @@ def test_lean_stop_times_missing_pickup_drop_off_columns_imports_as_zero(
         """
         provider = self._provider()
         mock_head.return_value = _mock_head_response(etag='"lean-etag"')
-        mock_get.return_value = _mock_get_response(_build_gtfs_zip_bytes(lean_stop_times=True))
+        mock_get.return_value = _mock_get_response(
+            _build_gtfs_zip_bytes(lean_stop_times=True)
+        )
 
         result = import_schedule_if_changed(provider)
 
         self.assertTrue(result)
-        feed = Feed.objects.filter(gtfs_provider=provider, is_current=True).first()
+        feed = Feed.objects.filter(feed_publisher=provider, is_current=True).first()
         self.assertIsNotNone(feed)
         stop_times = StopTime.objects.filter(feed=feed)
         self.assertEqual(stop_times.count(), 2)
@@ -198,7 +200,7 @@ def test_same_etag_skips_import(self, mock_head: Mock, mock_get: Mock) -> None:
         provider = self._provider()
         current_feed = Feed.objects.create(
             feed_id="TESTP (existing)",
-            gtfs_provider=provider,
+            feed_publisher=provider,
             http_etag='"same-etag"',
             is_current=True,
         )
@@ -220,7 +222,7 @@ def test_changed_etag_flips_previous_current_feed(
         provider = self._provider()
         old_feed = Feed.objects.create(
             feed_id="TESTP (old)",
-            gtfs_provider=provider,
+            feed_publisher=provider,
             http_etag='"old-etag"',
             is_current=True,
         )
@@ -242,7 +244,7 @@ def test_missing_etag_header_falls_back_and_still_imports(
         provider = self._provider()
         Feed.objects.create(
             feed_id="TESTP (existing)",
-            gtfs_provider=provider,
+            feed_publisher=provider,
             http_etag=None,
             is_current=True,
         )
@@ -289,7 +291,7 @@ class TestFetchScheduleTask(TestCase):
     """Cover the fetch_schedule Celery task's provider iteration."""
 
     def test_no_active_providers_returns_message(self) -> None:
-        GTFSProvider.objects.create(
+        FeedPublisher.objects.create(
             code="INACTIVE",
             name="Inactive Provider",
             schedule_url="https://example.com/gtfs.zip",
@@ -302,8 +304,10 @@ def test_no_active_providers_returns_message(self) -> None:
 
     @patch("feed.schedule.importer.requests.get")
     @patch("feed.schedule.importer.requests.head")
-    def test_active_provider_gets_updated(self, mock_head: Mock, mock_get: Mock) -> None:
-        provider = GTFSProvider.objects.create(
+    def test_active_provider_gets_updated(
+        self, mock_head: Mock, mock_get: Mock
+    ) -> None:
+        provider = FeedPublisher.objects.create(
             code="ACTIVEP",
             name="Active Provider",
             schedule_url="https://example.com/gtfs.zip",
@@ -318,5 +322,5 @@ def test_active_provider_gets_updated(self, mock_head: Mock, mock_get: Mock) ->
         self.assertIn("ACTIVEP", result)
         self.assertIn("updated=", result)
         self.assertEqual(
-            Feed.objects.filter(gtfs_provider=provider, is_current=True).count(), 1
+            Feed.objects.filter(feed_publisher=provider, is_current=True).count(), 1
         )
diff --git a/backend/gtfs-eta b/backend/gtfs-eta
deleted file mode 120000
index c6e8846..0000000
--- a/backend/gtfs-eta
+++ /dev/null
@@ -1 +0,0 @@
-../../gtfs-eta
\ No newline at end of file
diff --git a/backend/gtfs-eta b/backend/gtfs-eta
new file mode 160000
index 0000000..7381efa
--- /dev/null
+++ b/backend/gtfs-eta
@@ -0,0 +1 @@
+Subproject commit 7381efa3dcfa5351c9068ee875ee8d29520b59e2
diff --git a/backend/schedule_engine/tasks.py b/backend/schedule_engine/tasks.py
index 81ea88c..03684d9 100644
--- a/backend/schedule_engine/tasks.py
+++ b/backend/schedule_engine/tasks.py
@@ -147,25 +147,37 @@ def fetch_schedule() -> str:
 
     logger = logging.getLogger(__name__)
 
-    from feed.models import GTFSProvider
+    from feed.models import TransitSystem, FeedPublisher
     from feed.schedule.importer import import_schedule_if_changed
 
-    providers = list(GTFSProvider.objects.filter(is_active=True))
-    if not providers:
-        logger.warning("fetch_schedule: no active GTFSProvider rows found")
-        return "fetch_schedule: no active providers"
+    transit_systems = list(TransitSystem.objects.filter(is_active=True))
+    if not transit_systems:
+        logger.warning("fetch_schedule: no active TransitSystem rows found")
+        return "fetch_schedule: no active transit systems"
 
     updated: list[str] = []
     unchanged: list[str] = []
     errored: list[str] = []
-    for provider in providers:
-        try:
-            if import_schedule_if_changed(provider):
-                updated.append(provider.code)
-            else:
-                unchanged.append(provider.code)
-        except Exception:
-            logger.exception("fetch_schedule: error importing provider %s", provider.code)
-            errored.append(provider.code)
+    for transit_system in transit_systems:
+        providers = list(
+            FeedPublisher.objects.filter(is_active=True, transit_system=transit_system)
+        )
+        if not providers:
+            logger.warning(
+                "fetch_schedule: no active FeedPublisher rows found for TransitSystem %s",
+                transit_system.code,
+            )
+            return f"fetch_schedule: no active feed providers for TransitSystem {transit_system.code}"
+        for provider in providers:
+            try:
+                if import_schedule_if_changed(provider):
+                    updated.append(provider.code)
+                else:
+                    unchanged.append(provider.code)
+            except Exception:
+                logger.exception(
+                    "fetch_schedule: error importing provider %s", provider.code
+                )
+                errored.append(provider.code)
 
     return f"fetch_schedule: updated={updated} unchanged={unchanged} errored={errored}"
diff --git a/backend/uv.lock b/backend/uv.lock
index e581da1..cb69c41 100644
--- a/backend/uv.lock
+++ b/backend/uv.lock
@@ -1250,6 +1250,9 @@ requires-dist = [
 ]
 provides-extras = ["train", "collect", "viz", "all"]
 
+[package.metadata.requires-dev]
+bucr = [{ name = "etaval", directory = "etaval" }]
+
 [[package]]
 name = "gtfs-io"
 version = "0.0.1"
diff --git a/docs/content/data-model/django-models.md b/docs/content/data-model/django-models.md
index 2702df1..4a08639 100644
--- a/docs/content/data-model/django-models.md
+++ b/docs/content/data-model/django-models.md
@@ -15,21 +15,21 @@ following apps each own their model layer. All apps live under `backend/`.
 
 The central domain entity. One row per real-world trip execution.
 
-| Field | Type | Notes |
-| --- | --- | --- |
-| `id` | `UUIDField` (primary key) | Auto-generated with `uuid.uuid7` |
-| `vehicle` | `ManyToManyField(Vehicle)` | Typically one vehicle per run |
-| `operator` | `ManyToManyField(Operator)` | Typically one operator per run |
-| `route_id` | `CharField` | GTFS route_id |
-| `trip_id` | `CharField` | GTFS trip_id |
-| `direction_id` | `PositiveSmallIntegerField` | GTFS direction_id |
-| `shape_id` | `CharField` | GTFS shape_id |
-| `request_timestamp` | `DateTimeField` | Auto-set at creation |
-| `start_date` | `DateField` | Service date |
-| `start_time` | `DurationField` | Scheduled start time |
-| `schedule_relationship` | `CharField` | SCHEDULED / ADDED / UNSCHEDULED / CANCELED / DUPLICATED / DELETED |
-| `run_lifecycle_state` | `CharField` | Current FSM state; choices from `RunLifecycleStates` |
-| `last_event_at` | `DateTimeField` | Timestamp of last lifecycle transition |
+| Field                   | Type                        | Notes                                                             |
+| ----------------------- | --------------------------- | ----------------------------------------------------------------- |
+| `id`                    | `UUIDField` (primary key)   | Auto-generated with `uuid.uuid7`                                  |
+| `vehicle`               | `ManyToManyField(Vehicle)`  | Typically one vehicle per run                                     |
+| `operator`              | `ManyToManyField(Operator)` | Typically one operator per run                                    |
+| `route_id`              | `CharField`                 | GTFS route_id                                                     |
+| `trip_id`               | `CharField`                 | GTFS trip_id                                                      |
+| `direction_id`          | `PositiveSmallIntegerField` | GTFS direction_id                                                 |
+| `shape_id`              | `CharField`                 | GTFS shape_id                                                     |
+| `request_timestamp`     | `DateTimeField`             | Auto-set at creation                                              |
+| `start_date`            | `DateField`                 | Service date                                                      |
+| `start_time`            | `DurationField`             | Scheduled start time                                              |
+| `schedule_relationship` | `CharField`                 | SCHEDULED / ADDED / UNSCHEDULED / CANCELED / DUPLICATED / DELETED |
+| `run_lifecycle_state`   | `CharField`                 | Current FSM state; choices from `RunLifecycleStates`              |
+| `last_event_at`         | `DateTimeField`             | Timestamp of last lifecycle transition                            |
 
 The `run_lifecycle_state` field mirrors the in-memory state. On run creation
 it defaults to `RunLifecycleStates.REQUESTED`. The lifecycle service updates
@@ -41,17 +41,17 @@ Immutable audit record written by the lifecycle service before any external
 side-effect. Because it is written before actions run, the log is authoritative
 even if a downstream action later fails.
 
-| Field | Notes |
-| --- | --- |
-| `id` | UUID7 primary key |
-| `run` | ForeignKey to `Run` (CASCADE) |
+| Field        | Notes                                            |
+| ------------ | ------------------------------------------------ |
+| `id`         | UUID7 primary key                                |
+| `run`        | ForeignKey to `Run` (CASCADE)                    |
 | `event_name` | Event string (e.g., `run_confirmed_by_operator`) |
-| `from_state` | State before transition |
-| `to_state` | State after transition |
-| `guards` | JSONField — results of guard checks |
-| `actions` | JSONField — results of actions executed |
-| `timestamp` | Logical event time |
-| `created_at` | Row insertion time |
+| `from_state` | State before transition                          |
+| `to_state`   | State after transition                           |
+| `guards`     | JSONField — results of guard checks              |
+| `actions`    | JSONField — results of actions executed          |
+| `timestamp`  | Logical event time                               |
+| `created_at` | Row insertion time                               |
 
 Indexed on `(run, timestamp)` and `event_name`.
 
@@ -59,16 +59,16 @@ The `GET /api/runs/<id>/history/` endpoint returns this log ordered by
 `(timestamp, created_at)`.
 
 !!! note "`RunProgressEvent` does not exist in current code"
-    The single checked-in migration (`runs/migrations/0001_initial.py`)
-    defines a `RunProgressEvent` model, but it is **not** present in the
-    current `backend/runs/models.py`. Do not document or rely on it — the
-    model file is the source of truth, not the migration.
+The single checked-in migration (`runs/migrations/0001_initial.py`)
+defines a `RunProgressEvent` model, but it is **not** present in the
+current `backend/runs/models.py`. Do not document or rely on it — the
+model file is the source of truth, not the migration.
 
 ### `Position`, `VehicleStopStatus`, `CongestionLevel`, `OccupancyStatus`
 
 Normalized GTFS-RT entity tables intended for durable persistence and
-analytics, separate from the Redis keys (Redis holds the *live* snapshot;
-these models would hold the *historical trace*). All four are defined in
+analytics, separate from the Redis keys (Redis holds the _live_ snapshot;
+these models would hold the _historical trace_). All four are defined in
 `backend/runs/models.py` and exposed read-only-in-practice through DRF
 ViewSets in `backend/api/views.py`, but **no current code path writes rows
 into them** — a repo-wide search finds no `.objects.create(...)` call for any
@@ -87,34 +87,34 @@ Operational domain: companies, operators, vehicles, equipment.
 
 Wrapper for a transit agency. Linked one-to-one to a `feed.Agency`.
 
-| Field | Notes |
-| --- | --- |
-| `id` | CharField primary key |
-| `linked_agency` | OneToOneField to `feed.Agency` |
-| `name`, `description`, `phone`, `email`, `website` | Contact info |
-| `location` | PointField |
+| Field                                              | Notes                          |
+| -------------------------------------------------- | ------------------------------ |
+| `id`                                               | CharField primary key          |
+| `linked_agency`                                    | OneToOneField to `feed.Agency` |
+| `name`, `description`, `phone`, `email`, `website` | Contact info                   |
+| `location`                                         | PointField                     |
 
 ### `Operator`
 
 A person who drives or dispatches runs. Linked one-to-one to a Django `User`.
 
-| Field | Notes |
-| --- | --- |
-| `id` | CharField primary key |
-| `user` | OneToOneField to `auth.User` |
-| `company` | ManyToManyField to `Company` |
-| `phone`, `photo` | Contact info |
+| Field            | Notes                        |
+| ---------------- | ---------------------------- |
+| `id`             | CharField primary key        |
+| `user`           | OneToOneField to `auth.User` |
+| `company`        | ManyToManyField to `Company` |
+| `phone`, `photo` | Contact info                 |
 
 ### `Vehicle`
 
 A physical vehicle that can be assigned to a run.
 
-| Field | Notes |
-| --- | --- |
-| `id` | CharField primary key |
-| `company` | ForeignKey to `Company` |
-| `label` | Human-readable identifier |
-| `license_plate` | Plate number |
+| Field                   | Notes                                                                     |
+| ----------------------- | ------------------------------------------------------------------------- |
+| `id`                    | CharField primary key                                                     |
+| `company`               | ForeignKey to `Company`                                                   |
+| `label`                 | Human-readable identifier                                                 |
+| `license_plate`         | Plate number                                                              |
 | `wheelchair_accessible` | Enum (NO_VALUE / UNKNOWN / WHEELCHAIR_ACCESIBLE / WHEELCHAIR_INACCESIBLE) |
 
 ### `DataProvider`, `Equipment`, `EquipmentLog`
@@ -130,15 +130,15 @@ A logical telemetry feed (of one or more data types) registered on a piece of
 against `equipment`, `equipment.vehicle`, and the `source_*` fields all being
 absent.
 
-| Field | Notes |
-| --- | --- |
-| `id` | UUID primary key |
-| `equipment` | ForeignKey to `Equipment` (nullable) |
-| `provides_position`, `provides_occupancy`, `provides_vehicle`, … | Booleans flagging which data types this sensor supplies |
-| `source_type` | `mqtt` / `http` / `both` (nullable) |
-| `source_http_url` | URL polled by the `"http"` adapter when `source_type` is `http` or `both` |
-| `source_json_mapping` | JSONField describing how to extract `lat`/`lon`/`speed`/`odometer`/`timestamp`/`vehicle_id` from the endpoint's response |
-| `status` | `ACTIVE` / `INACTIVE` |
+| Field                                                            | Notes                                                                                                                    |
+| ---------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |
+| `id`                                                             | UUID primary key                                                                                                         |
+| `equipment`                                                      | ForeignKey to `Equipment` (nullable)                                                                                     |
+| `provides_position`, `provides_occupancy`, `provides_vehicle`, … | Booleans flagging which data types this sensor supplies                                                                  |
+| `source_type`                                                    | `mqtt` / `http` / `both` (nullable)                                                                                      |
+| `source_http_url`                                                | URL polled by the `"http"` adapter when `source_type` is `http` or `both`                                                |
+| `source_json_mapping`                                            | JSONField describing how to extract `lat`/`lon`/`speed`/`odometer`/`timestamp`/`vehicle_id` from the endpoint's response |
+| `status`                                                         | `ACTIVE` / `INACTIVE`                                                                                                    |
 
 `realtime_engine.tasks.fetch_positions` (every 10 s) queries `ACTIVE` sensors
 with `provides_position=True` and `source_type` in `["http", "both"]`, fetches
@@ -156,42 +156,42 @@ models.
 
 All extend abstract base classes from the `gtfs` submodule:
 
-| Model | Extends | GTFS file |
-| --- | --- | --- |
-| `Agency` | `BaseAgency` | `agency.txt` |
-| `Stop` | `BaseStop` | `stops.txt` |
-| `Route` | `BaseRoute` | `routes.txt` |
-| `Calendar` | `BaseCalendar` | `calendar.txt` |
-| `CalendarDate` | `BaseCalendarDate` | `calendar_dates.txt` |
-| `Shape` | `BaseShape` | `shapes.txt` |
-| `Trip` | `BaseTrip` | `trips.txt` |
-| `StopTime` | `BaseStopTime` | `stop_times.txt` |
+| Model           | Extends             | GTFS file             |
+| --------------- | ------------------- | --------------------- |
+| `Agency`        | `BaseAgency`        | `agency.txt`          |
+| `Stop`          | `BaseStop`          | `stops.txt`           |
+| `Route`         | `BaseRoute`         | `routes.txt`          |
+| `Calendar`      | `BaseCalendar`      | `calendar.txt`        |
+| `CalendarDate`  | `BaseCalendarDate`  | `calendar_dates.txt`  |
+| `Shape`         | `BaseShape`         | `shapes.txt`          |
+| `Trip`          | `BaseTrip`          | `trips.txt`           |
+| `StopTime`      | `BaseStopTime`      | `stop_times.txt`      |
 | `FareAttribute` | `BaseFareAttribute` | `fare_attributes.txt` |
-| `FareRule` | `BaseFareRule` | `fare_rules.txt` |
-| `FeedInfo` | `BaseFeedInfo` | `feed_info.txt` |
+| `FareRule`      | `BaseFareRule`      | `fare_rules.txt`      |
+| `FeedInfo`      | `BaseFeedInfo`      | `feed_info.txt`       |
 
 All are scoped to a `Feed` (identified by `feed_id`) via a ForeignKey. The
 `is_current` flag on `Feed` identifies the active dataset.
 
 Additional Databús-specific models:
 
-| Model | Purpose |
-| --- | --- |
-| `GeoShape` | PostGIS `LineStringField` geometry for route shapes — used by map-matching |
-| `RouteStop` | Stop sequence per route + shape + direction |
-| `TripDuration` | Trip duration metadata for scheduling |
-| `TripTime` | Departure times at timepoints (for the run-scheduling UI) |
-| `GTFSProvider` | Registry of GTFS data providers and feed URLs |
+| Model           | Purpose                                                                    |
+| --------------- | -------------------------------------------------------------------------- |
+| `GeoShape`      | PostGIS `LineStringField` geometry for route shapes — used by map-matching |
+| `RouteStop`     | Stop sequence per route + shape + direction                                |
+| `TripDuration`  | Trip duration metadata for scheduling                                      |
+| `TripTime`      | Departure times at timepoints (for the run-scheduling UI)                  |
+| `FeedPublisher` | Registry of GTFS data providers and feed URLs                              |
 
 ### GTFS Realtime persistence models
 
-| Model | Maps to |
-| --- | --- |
-| `FeedMessage` | GTFS-RT FeedMessage header |
-| `VehiclePosition` | Normalized VehiclePosition entity |
-| `TripUpdate` | Normalized TripUpdate entity |
-| `StopTimeUpdate` | Normalized StopTimeUpdate per TripUpdate |
-| `Alert` | Draft Alert model (TODO: align with GTFS-RT Alert schema) |
+| Model             | Maps to                                                   |
+| ----------------- | --------------------------------------------------------- |
+| `FeedMessage`     | GTFS-RT FeedMessage header                                |
+| `VehiclePosition` | Normalized VehiclePosition entity                         |
+| `TripUpdate`      | Normalized TripUpdate entity                              |
+| `StopTimeUpdate`  | Normalized StopTimeUpdate per TripUpdate                  |
+| `Alert`           | Draft Alert model (TODO: align with GTFS-RT Alert schema) |
 
 ---
 

From 47803cc02a847d52320e91e125df17ddc51b1ea1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Fabi=C3=A1n=20Abarca=20Calder=C3=B3n?=
 <ensinergia@gmail.com>
Date: Fri, 4 Sep 2026 18:45:20 -0300
Subject: [PATCH 68/68] feat(cors): add django-cors-headers to settings and
 configure CORS allowed origins

---
 backend/databus/settings.py                 |   7 +
 backend/operations/fixtures/operations.json | 680 +++++++++++++++-----
 backend/operations/models.py                |  11 +-
 backend/pyproject.toml                      |   6 +-
 backend/uv.lock                             |  15 +
 5 files changed, 553 insertions(+), 166 deletions(-)

diff --git a/backend/databus/settings.py b/backend/databus/settings.py
index 166379e..39ba373 100644
--- a/backend/databus/settings.py
+++ b/backend/databus/settings.py
@@ -36,6 +36,7 @@
 
 INSTALLED_APPS = [
     "gtfs",
+    "corsheaders",
     "feed.apps.FeedConfig",
     "schedule_engine.apps.ScheduleEngineConfig",
     "realtime_engine.apps.RealtimeEngineConfig",
@@ -62,6 +63,7 @@
 
 MIDDLEWARE = [
     "django.middleware.security.SecurityMiddleware",
+    "corsheaders.middleware.CorsMiddleware",
     "django.contrib.sessions.middleware.SessionMiddleware",
     "django.middleware.common.CommonMiddleware",
     "django.middleware.csrf.CsrfViewMiddleware",
@@ -136,6 +138,11 @@
 REDIS_PORT = config("REDIS_PORT")
 REDIS_PASSWORD = config("REDIS_PASSWORD", default="")
 
+# Browser origins permitted to call the API from separate frontend dev servers.
+CORS_ALLOWED_ORIGINS = config(
+    "CORS_ALLOWED_ORIGINS", cast=Csv(), default="http://localhost:5173"
+)
+
 # RabbitMQ settings
 
 RABBITMQ_HOST = config("RABBITMQ_HOST")
diff --git a/backend/operations/fixtures/operations.json b/backend/operations/fixtures/operations.json
index d2f8ede..f494db8 100644
--- a/backend/operations/fixtures/operations.json
+++ b/backend/operations/fixtures/operations.json
@@ -1,247 +1,615 @@
 [
   {
-    "model": "operation.dataprovider",
-    "pk": "1964",
+    "model": "operations.company",
+    "pk": "ST",
     "fields": {
-      "name": "EIE",
-      "description": "Escuela de Ingeniería Eléctrica",
-      "agency": []
+      "name": "Sección Transportes",
+      "description": "Sección Transportes de la Oficina de Servicios Generales de la Universidad de Costa Rica",
+      "legal_id": null,
+      "phone": null,
+      "email": null,
+      "website": null,
+      "location": "SRID=4326;POINT (-84.06167418885983 9.953682854982432)",
+      "logo": "",
+      "linked_agency": [2]
     }
   },
   {
-    "model": "operation.company",
-    "pk": "OSG",
+    "model": "operations.operator",
+    "pk": "123456",
     "fields": {
-      "agency": 1,
-      "name": "Sección Transportes",
-      "description": "",
+      "user": 1,
+      "phone": null,
+      "photo": "",
+      "is_driver": true,
+      "is_dispatcher": true,
+      "is_administrator": true,
+      "company": ["ST"]
+    }
+  },
+  {
+    "model": "operations.dataprovider",
+    "pk": "navsat",
+    "fields": {
+      "name": "NavSat",
+      "description": "NavSat",
+      "email": "navsat@navsat.com",
       "phone": null,
-      "email": null,
-      "website": null,
-      "location": "SRID=4326;POINT (-84.04256870656747 9.943725615890358)",
       "logo": ""
     }
   },
   {
-    "model": "operation.vehicle",
-    "pk": "SJB1234",
+    "model": "operations.vehicle",
+    "pk": "299-1014",
+    "fields": {
+      "company": "ST",
+      "label": "299-1014",
+      "license_plate": "299-1014",
+      "wheelchair_accessible": "NO_VALUE",
+      "wifi": "NO_VALUE",
+      "air_conditioning": "NO_VALUE",
+      "mobile_charging": "NO_VALUE",
+      "bike_rack": "NO_VALUE",
+      "has_screen": false,
+      "has_headsign_screen": false,
+      "has_audio": false,
+      "status": "IN_SERVICE"
+    }
+  },
+  {
+    "model": "operations.vehicle",
+    "pk": "299-1015",
+    "fields": {
+      "company": "ST",
+      "label": "299-1015",
+      "license_plate": "299-1015",
+      "wheelchair_accessible": "NO_VALUE",
+      "wifi": "NO_VALUE",
+      "air_conditioning": "NO_VALUE",
+      "mobile_charging": "NO_VALUE",
+      "bike_rack": "NO_VALUE",
+      "has_screen": false,
+      "has_headsign_screen": false,
+      "has_audio": false,
+      "status": "IN_SERVICE"
+    }
+  },
+  {
+    "model": "operations.vehicle",
+    "pk": "299-604",
     "fields": {
-      "agency": 1,
-      "label": "SJB1234",
-      "license_plate": "SJB1234",
-      "wheelchair_accessible": "WHEELCHAIR_ACCESIBLE",
+      "company": "ST",
+      "label": "299-604",
+      "license_plate": "299-604",
+      "wheelchair_accessible": "NO_VALUE",
       "wifi": "NO_VALUE",
-      "air_conditioning": "UNKNOWN",
-      "mobile_charging": "AVAILABLE",
-      "bike_rack": "UNAVAILABLE",
+      "air_conditioning": "NO_VALUE",
+      "mobile_charging": "NO_VALUE",
+      "bike_rack": "NO_VALUE",
       "has_screen": false,
       "has_headsign_screen": false,
-      "has_audio": false
+      "has_audio": false,
+      "status": "IN_SERVICE"
     }
   },
   {
-    "model": "operation.vehicle",
-    "pk": "SJB5678",
+    "model": "operations.vehicle",
+    "pk": "299-921",
     "fields": {
-      "agency": 1,
-      "label": "SJB5678",
-      "license_plate": "SJB5678",
-      "wheelchair_accessible": "UNKNOWN",
-      "wifi": "AVAILABLE",
+      "company": "ST",
+      "label": "299-921",
+      "license_plate": "299-921",
+      "wheelchair_accessible": "NO_VALUE",
+      "wifi": "NO_VALUE",
       "air_conditioning": "NO_VALUE",
-      "mobile_charging": "UNAVAILABLE",
-      "bike_rack": "UNKNOWN",
+      "mobile_charging": "NO_VALUE",
+      "bike_rack": "NO_VALUE",
       "has_screen": false,
-      "has_headsign_screen": true,
-      "has_audio": false
+      "has_headsign_screen": false,
+      "has_audio": false,
+      "status": "IN_SERVICE"
+    }
+  },
+  {
+    "model": "operations.vehicle",
+    "pk": "299-922",
+    "fields": {
+      "company": "ST",
+      "label": "299-922",
+      "license_plate": "299-922",
+      "wheelchair_accessible": "NO_VALUE",
+      "wifi": "NO_VALUE",
+      "air_conditioning": "NO_VALUE",
+      "mobile_charging": "NO_VALUE",
+      "bike_rack": "NO_VALUE",
+      "has_screen": false,
+      "has_headsign_screen": false,
+      "has_audio": false,
+      "status": "IN_SERVICE"
+    }
+  },
+  {
+    "model": "operations.vehicle",
+    "pk": "299-987",
+    "fields": {
+      "company": "ST",
+      "label": "299-987",
+      "license_plate": "299-987",
+      "wheelchair_accessible": "NO_VALUE",
+      "wifi": "NO_VALUE",
+      "air_conditioning": "NO_VALUE",
+      "mobile_charging": "NO_VALUE",
+      "bike_rack": "NO_VALUE",
+      "has_screen": false,
+      "has_headsign_screen": false,
+      "has_audio": false,
+      "status": "IN_SERVICE"
+    }
+  },
+  {
+    "model": "operations.equipment",
+    "pk": "0c50dc1b-0773-42e2-b5cf-514eaf192cdb",
+    "fields": {
+      "data_provider": "navsat",
+      "name": "OBE 299-922",
+      "vehicle": "299-922",
+      "serial_number": null,
+      "brand": null,
+      "model": null,
+      "os_version": null,
+      "app_version": null,
+      "status": "ACTIVE",
+      "created_at": "2026-09-04T19:00:40.817Z",
+      "updated_at": "2026-09-04T19:00:40.817Z"
+    }
+  },
+  {
+    "model": "operations.equipment",
+    "pk": "2cec183d-d037-402a-9f88-0da4aed5ff05",
+    "fields": {
+      "data_provider": "navsat",
+      "name": "OBE 299-987",
+      "vehicle": "299-987",
+      "serial_number": null,
+      "brand": null,
+      "model": null,
+      "os_version": null,
+      "app_version": null,
+      "status": "ACTIVE",
+      "created_at": "2026-09-04T19:01:28.274Z",
+      "updated_at": "2026-09-04T19:01:28.274Z"
+    }
+  },
+  {
+    "model": "operations.equipment",
+    "pk": "3b3ff721-be7c-40b7-85ac-a631b6216cb1",
+    "fields": {
+      "data_provider": "navsat",
+      "name": "OBE 299-604",
+      "vehicle": "299-604",
+      "serial_number": null,
+      "brand": null,
+      "model": null,
+      "os_version": null,
+      "app_version": null,
+      "status": "ACTIVE",
+      "created_at": "2026-09-04T19:01:09.234Z",
+      "updated_at": "2026-09-04T19:01:09.234Z"
+    }
+  },
+  {
+    "model": "operations.equipment",
+    "pk": "5dc3b2f3-067f-424c-8f17-a74fcfc74bcd",
+    "fields": {
+      "data_provider": "navsat",
+      "name": "OBE 299-921",
+      "vehicle": "299-921",
+      "serial_number": null,
+      "brand": null,
+      "model": null,
+      "os_version": null,
+      "app_version": null,
+      "status": "ACTIVE",
+      "created_at": "2026-09-04T19:00:53.877Z",
+      "updated_at": "2026-09-04T19:00:53.877Z"
     }
   },
   {
-    "model": "operation.equipment",
-    "pk": "16736b9e-43d6-49f0-a269-6f71573d7730",
+    "model": "operations.equipment",
+    "pk": "7cc8495d-8440-4024-a334-6d1cadc09e87",
     "fields": {
-      "data_provider": "1964",
-      "vehicle": "SJB5678",
-      "serial_number": "H4939GNE9",
-      "brand": "Hertz",
-      "model": "LM741",
-      "software_version": "v2.4",
+      "data_provider": "navsat",
+      "name": "OBE 299-1014",
+      "vehicle": "299-1014",
+      "serial_number": null,
+      "brand": null,
+      "model": null,
+      "os_version": null,
+      "app_version": null,
+      "status": "ACTIVE",
+      "created_at": "2026-09-04T18:58:15.732Z",
+      "updated_at": "2026-09-04T18:59:25.025Z"
+    }
+  },
+  {
+    "model": "operations.equipment",
+    "pk": "b444a3e6-80c6-4f5f-9783-ae4919bb473e",
+    "fields": {
+      "data_provider": "navsat",
+      "name": "OBE 299-1015",
+      "vehicle": "299-1015",
+      "serial_number": null,
+      "brand": null,
+      "model": null,
+      "os_version": null,
+      "app_version": null,
+      "status": "ACTIVE",
+      "created_at": "2026-09-04T19:00:21.463Z",
+      "updated_at": "2026-09-04T19:00:21.463Z"
+    }
+  },
+  {
+    "model": "operations.sensor",
+    "pk": "43e5c5f3-5205-450c-8b90-95acdd8c6cd1",
+    "fields": {
+      "name": "GPS 299-987",
+      "equipment": "2cec183d-d037-402a-9f88-0da4aed5ff05",
       "provides_vehicle": true,
-      "provides_operator": true,
-      "provides_run": true,
+      "provides_operator": false,
+      "provides_run": false,
       "provides_position": true,
-      "provides_progression": true,
-      "provides_occupancy": true,
+      "provides_progression": false,
+      "provides_occupancy": false,
       "provides_conditions": false,
       "provides_emissions": false,
       "provides_travelers": false,
       "provides_authorizations": false,
       "provides_fares": false,
       "provides_transfers": false,
-      "provides_alerts": true,
-      "created_at": "2024-08-29T19:43:20.404Z",
-      "updated_at": "2024-08-29T19:43:20.404Z"
+      "provides_alerts": false,
+      "source_type": "http",
+      "source_http_url": "https://wsclientes.navsat.com/ws/navsatbi/laststatenavmi/rcu/bdxFtpLuYSfi/114700/0/todos",
+      "source_json_mapping": {
+        "type": "array",
+        "paths": {
+          "lat": "latitude",
+          "lon": "longitude",
+          "speed": "speed",
+          "odometer": "odometer",
+          "timestamp": "crDateTime",
+          "vehicle_id": "plateNumber"
+        },
+        "units": { "speed": "kmh", "odometer": "km" },
+        "timestamp": {
+          "tz": "America/Costa_Rica",
+          "format": "%Y-%m-%d %H:%M:%S"
+        }
+      },
+      "status": "ACTIVE",
+      "created_at": "2026-09-04T19:10:02.406Z",
+      "updated_at": "2026-09-04T19:10:02.406Z"
     }
   },
   {
-    "model": "operation.equipment",
-    "pk": "2d01a00e-6287-4bfe-8a2b-7bc8a4e2aa5c",
+    "model": "operations.sensor",
+    "pk": "a816095d-f9b3-4572-8970-4faa9edf0f93",
     "fields": {
-      "data_provider": "1964",
-      "vehicle": "SJB1234",
-      "serial_number": "JE3984GW9",
-      "brand": "Faraday",
-      "model": "555",
-      "software_version": "v1.2",
+      "name": "GPS 299-1014",
+      "equipment": "7cc8495d-8440-4024-a334-6d1cadc09e87",
       "provides_vehicle": true,
-      "provides_operator": true,
-      "provides_run": true,
+      "provides_operator": false,
+      "provides_run": false,
       "provides_position": true,
-      "provides_progression": true,
-      "provides_occupancy": true,
+      "provides_progression": false,
+      "provides_occupancy": false,
       "provides_conditions": false,
       "provides_emissions": false,
       "provides_travelers": false,
       "provides_authorizations": false,
       "provides_fares": false,
       "provides_transfers": false,
-      "provides_alerts": true,
-      "created_at": "2024-08-27T17:52:29.271Z",
-      "updated_at": "2024-08-27T17:52:29.271Z"
+      "provides_alerts": false,
+      "source_type": "http",
+      "source_http_url": "https://wsclientes.navsat.com/ws/navsatbi/laststatenavmi/rcu/bdxFtpLuYSfi/114700/0/todos",
+      "source_json_mapping": {
+        "type": "array",
+        "paths": {
+          "lat": "latitude",
+          "lon": "longitude",
+          "speed": "speed",
+          "odometer": "odometer",
+          "timestamp": "crDateTime",
+          "vehicle_id": "plateNumber"
+        },
+        "units": { "speed": "kmh", "odometer": "km" },
+        "timestamp": {
+          "tz": "America/Costa_Rica",
+          "format": "%Y-%m-%d %H:%M:%S"
+        }
+      },
+      "status": "ACTIVE",
+      "created_at": "2026-09-04T19:06:57.212Z",
+      "updated_at": "2026-09-04T19:06:57.212Z"
     }
   },
   {
-    "model": "operation.operator",
-    "pk": "1-1234-5678",
+    "model": "operations.sensor",
+    "pk": "cad09daa-8782-45b0-87e6-13063df4e6dd",
     "fields": {
-      "user": 2,
-      "vehicle": null,
-      "equipment": null,
-      "phone": "87654321",
-      "photo": "",
-      "agency": [1, 2],
-      "data_provider": []
+      "name": "GPS 299-604",
+      "equipment": "3b3ff721-be7c-40b7-85ac-a631b6216cb1",
+      "provides_vehicle": true,
+      "provides_operator": false,
+      "provides_run": false,
+      "provides_position": true,
+      "provides_progression": false,
+      "provides_occupancy": false,
+      "provides_conditions": false,
+      "provides_emissions": false,
+      "provides_travelers": false,
+      "provides_authorizations": false,
+      "provides_fares": false,
+      "provides_transfers": false,
+      "provides_alerts": false,
+      "source_type": "http",
+      "source_http_url": "https://wsclientes.navsat.com/ws/navsatbi/laststatenavmi/rcu/bdxFtpLuYSfi/114700/0/todos",
+      "source_json_mapping": {
+        "type": "array",
+        "paths": {
+          "lat": "latitude",
+          "lon": "longitude",
+          "speed": "speed",
+          "odometer": "odometer",
+          "timestamp": "crDateTime",
+          "vehicle_id": "plateNumber"
+        },
+        "units": { "speed": "kmh", "odometer": "km" },
+        "timestamp": {
+          "tz": "America/Costa_Rica",
+          "format": "%Y-%m-%d %H:%M:%S"
+        }
+      },
+      "status": "ACTIVE",
+      "created_at": "2026-09-04T19:09:04.324Z",
+      "updated_at": "2026-09-04T19:09:04.324Z"
     }
   },
   {
-    "model": "operation.operator",
-    "pk": "2-1234-5678",
+    "model": "operations.sensor",
+    "pk": "d50d1fb4-607c-4497-b226-9c40cea9c4d6",
     "fields": {
-      "user": 3,
-      "vehicle": null,
-      "equipment": null,
-      "phone": "87654321",
-      "photo": "",
-      "agency": [1, 2],
-      "data_provider": []
+      "name": "GPS 299-921",
+      "equipment": "5dc3b2f3-067f-424c-8f17-a74fcfc74bcd",
+      "provides_vehicle": true,
+      "provides_operator": false,
+      "provides_run": false,
+      "provides_position": true,
+      "provides_progression": false,
+      "provides_occupancy": false,
+      "provides_conditions": false,
+      "provides_emissions": false,
+      "provides_travelers": false,
+      "provides_authorizations": false,
+      "provides_fares": false,
+      "provides_transfers": false,
+      "provides_alerts": false,
+      "source_type": "http",
+      "source_http_url": "https://wsclientes.navsat.com/ws/navsatbi/laststatenavmi/rcu/bdxFtpLuYSfi/114700/0/todos",
+      "source_json_mapping": {
+        "type": "array",
+        "paths": {
+          "lat": "latitude",
+          "lon": "longitude",
+          "speed": "speed",
+          "odometer": "odometer",
+          "timestamp": "crDateTime",
+          "vehicle_id": "plateNumber"
+        },
+        "units": { "speed": "kmh", "odometer": "km" },
+        "timestamp": {
+          "tz": "America/Costa_Rica",
+          "format": "%Y-%m-%d %H:%M:%S"
+        }
+      },
+      "status": "ACTIVE",
+      "created_at": "2026-09-04T19:08:34.591Z",
+      "updated_at": "2026-09-04T19:08:34.591Z"
     }
   },
   {
-    "model": "operation.run",
-    "pk": 2,
+    "model": "operations.sensor",
+    "pk": "d74ce819-6d3f-4d7a-9ddc-a76c2dc0ecd0",
     "fields": {
-      "equipment": "2d01a00e-6287-4bfe-8a2b-7bc8a4e2aa5c",
-      "vehicle": "SJB1234",
-      "operator": "1-1234-5678",
-      "route_id": "bUCR_L1",
-      "trip_id": "desde_educacion_con_milla_entresemana_13:30",
-      "direction_id": 0,
-      "shape_id": "desde_educacion_con_milla",
-      "start_date": "2024-08-29",
-      "start_time": "13:30:06",
-      "schedule_relationship": "SCHEDULED",
-      "run_lifecycle_state": "IN_PROGRESS"
+      "name": "GPS 299-922",
+      "equipment": "0c50dc1b-0773-42e2-b5cf-514eaf192cdb",
+      "provides_vehicle": true,
+      "provides_operator": false,
+      "provides_run": false,
+      "provides_position": true,
+      "provides_progression": false,
+      "provides_occupancy": false,
+      "provides_conditions": false,
+      "provides_emissions": false,
+      "provides_travelers": false,
+      "provides_authorizations": false,
+      "provides_fares": false,
+      "provides_transfers": false,
+      "provides_alerts": false,
+      "source_type": "http",
+      "source_http_url": "https://wsclientes.navsat.com/ws/navsatbi/laststatenavmi/rcu/bdxFtpLuYSfi/114700/0/todos",
+      "source_json_mapping": {
+        "type": "array",
+        "paths": {
+          "lat": "latitude",
+          "lon": "longitude",
+          "speed": "speed",
+          "odometer": "odometer",
+          "timestamp": "crDateTime",
+          "vehicle_id": "plateNumber"
+        },
+        "units": { "speed": "kmh", "odometer": "km" },
+        "timestamp": {
+          "tz": "America/Costa_Rica",
+          "format": "%Y-%m-%d %H:%M:%S"
+        }
+      },
+      "status": "ACTIVE",
+      "created_at": "2026-09-04T19:08:05.563Z",
+      "updated_at": "2026-09-04T19:08:05.563Z"
     }
   },
   {
-    "model": "operation.run",
-    "pk": 3,
+    "model": "operations.sensor",
+    "pk": "f530dd7c-59d6-41a5-bae0-a45744776401",
     "fields": {
-      "equipment": "16736b9e-43d6-49f0-a269-6f71573d7730",
-      "vehicle": "SJB5678",
-      "operator": "2-1234-5678",
-      "route_id": "bUCR_L2",
-      "trip_id": "desde_educacion_sin_milla_entresemana_13:35",
-      "direction_id": 0,
-      "shape_id": "desde_educacion_sin_milla",
-      "start_date": "2024-08-29",
-      "start_time": "13:35:12",
-      "schedule_relationship": "SCHEDULED",
-      "run_lifecycle_state": "IN_PROGRESS"
+      "name": "GPS 299-1015",
+      "equipment": "b444a3e6-80c6-4f5f-9783-ae4919bb473e",
+      "provides_vehicle": true,
+      "provides_operator": false,
+      "provides_run": false,
+      "provides_position": true,
+      "provides_progression": false,
+      "provides_occupancy": false,
+      "provides_conditions": false,
+      "provides_emissions": false,
+      "provides_travelers": false,
+      "provides_authorizations": false,
+      "provides_fares": false,
+      "provides_transfers": false,
+      "provides_alerts": false,
+      "source_type": "http",
+      "source_http_url": "https://wsclientes.navsat.com/ws/navsatbi/laststatenavmi/rcu/bdxFtpLuYSfi/114700/0/todos",
+      "source_json_mapping": {
+        "type": "array",
+        "paths": {
+          "lat": "latitude",
+          "lon": "longitude",
+          "speed": "speed",
+          "odometer": "odometer",
+          "timestamp": "crDateTime",
+          "vehicle_id": "plateNumber"
+        },
+        "units": { "speed": "kmh", "odometer": "km" },
+        "timestamp": {
+          "tz": "America/Costa_Rica",
+          "format": "%Y-%m-%d %H:%M:%S"
+        }
+      },
+      "status": "ACTIVE",
+      "created_at": "2026-09-04T19:07:36.065Z",
+      "updated_at": "2026-09-04T19:07:36.065Z"
     }
   },
   {
-    "model": "operation.position",
+    "model": "operations.equipmentlog",
     "pk": 2,
     "fields": {
-      "run": 2,
-      "timestamp": "2024-08-29T19:35:48Z",
-      "point": "SRID=4326;POINT (-84.04555530733563 9.93540698388418)",
-      "altitude": null,
-      "speed": 12.0,
-      "bearing": 0.0,
-      "odometer": 9.0
+      "equipment": "7cc8495d-8440-4024-a334-6d1cadc09e87",
+      "data_provider": "navsat",
+      "vehicle": "299-1014",
+      "serial_number": null,
+      "brand": null,
+      "model": null,
+      "os_version": null,
+      "app_version": null,
+      "status": "ACTIVE",
+      "updated_at": "2026-09-04T18:58:15.733Z"
     }
   },
   {
-    "model": "operation.position",
+    "model": "operations.equipmentlog",
     "pk": 3,
     "fields": {
-      "run": 3,
-      "timestamp": "2024-08-29T19:35:52Z",
-      "point": "SRID=4326;POINT (-84.05215754678477 9.935495431066292)",
-      "altitude": null,
-      "speed": 25.0,
-      "bearing": 75.0,
-      "odometer": 479.0
+      "equipment": "7cc8495d-8440-4024-a334-6d1cadc09e87",
+      "data_provider": "navsat",
+      "vehicle": "299-1014",
+      "serial_number": null,
+      "brand": null,
+      "model": null,
+      "os_version": null,
+      "app_version": null,
+      "status": "ACTIVE",
+      "updated_at": "2026-09-04T18:59:25.026Z"
     }
   },
   {
-    "model": "operation.progression",
-    "pk": 2,
+    "model": "operations.equipmentlog",
+    "pk": 4,
     "fields": {
-      "run": 2,
-      "timestamp": "2024-08-29T20:03:29.055Z",
-      "current_stop_sequence": 3,
-      "stop_id": "bUCR_0_04",
-      "current_status": "INCOMING_AT",
-      "congestion_level": "RUNNING_SMOOTHLY"
+      "equipment": "b444a3e6-80c6-4f5f-9783-ae4919bb473e",
+      "data_provider": "navsat",
+      "vehicle": "299-1015",
+      "serial_number": null,
+      "brand": null,
+      "model": null,
+      "os_version": null,
+      "app_version": null,
+      "status": "ACTIVE",
+      "updated_at": "2026-09-04T19:00:21.463Z"
     }
   },
   {
-    "model": "operation.progression",
-    "pk": 3,
+    "model": "operations.equipmentlog",
+    "pk": 5,
     "fields": {
-      "run": 3,
-      "timestamp": "2024-08-29T20:03:57.208Z",
-      "current_stop_sequence": 1,
-      "stop_id": "bUCR_0_04",
-      "current_status": "IN_TRANSIT_TO",
-      "congestion_level": "STOP_AND_GO"
+      "equipment": "0c50dc1b-0773-42e2-b5cf-514eaf192cdb",
+      "data_provider": "navsat",
+      "vehicle": "299-922",
+      "serial_number": null,
+      "brand": null,
+      "model": null,
+      "os_version": null,
+      "app_version": null,
+      "status": "ACTIVE",
+      "updated_at": "2026-09-04T19:00:40.818Z"
     }
   },
   {
-    "model": "operation.occupancy",
-    "pk": 2,
+    "model": "operations.equipmentlog",
+    "pk": 6,
     "fields": {
-      "run": 2,
-      "timestamp": "2024-08-29T20:04:44.101Z",
-      "occupancy_status": "CRUSHED_STANDING_ROOM_ONLY",
-      "occupancy_percentage": 90,
-      "occupancy_count": 43,
-      "is_wheelchair_accesible": "WHEELCHAIR_INACCESIBLE"
+      "equipment": "5dc3b2f3-067f-424c-8f17-a74fcfc74bcd",
+      "data_provider": "navsat",
+      "vehicle": "299-921",
+      "serial_number": null,
+      "brand": null,
+      "model": null,
+      "os_version": null,
+      "app_version": null,
+      "status": "ACTIVE",
+      "updated_at": "2026-09-04T19:00:53.878Z"
     }
   },
   {
-    "model": "operation.occupancy",
-    "pk": 3,
+    "model": "operations.equipmentlog",
+    "pk": 7,
+    "fields": {
+      "equipment": "3b3ff721-be7c-40b7-85ac-a631b6216cb1",
+      "data_provider": "navsat",
+      "vehicle": "299-604",
+      "serial_number": null,
+      "brand": null,
+      "model": null,
+      "os_version": null,
+      "app_version": null,
+      "status": "ACTIVE",
+      "updated_at": "2026-09-04T19:01:09.234Z"
+    }
+  },
+  {
+    "model": "operations.equipmentlog",
+    "pk": 8,
     "fields": {
-      "run": 3,
-      "timestamp": "2024-08-29T20:05:09.166Z",
-      "occupancy_status": "MANY_SEATS_AVAILABLE",
-      "occupancy_percentage": 60,
-      "occupancy_count": 26,
-      "is_wheelchair_accesible": "WHEELCHAIR_ACCESIBLE"
+      "equipment": "2cec183d-d037-402a-9f88-0da4aed5ff05",
+      "data_provider": "navsat",
+      "vehicle": "299-987",
+      "serial_number": null,
+      "brand": null,
+      "model": null,
+      "os_version": null,
+      "app_version": null,
+      "status": "ACTIVE",
+      "updated_at": "2026-09-04T19:01:28.274Z"
     }
   }
 ]
diff --git a/backend/operations/models.py b/backend/operations/models.py
index 0a3324e..94fc92b 100644
--- a/backend/operations/models.py
+++ b/backend/operations/models.py
@@ -61,7 +61,6 @@ class DataProvider(models.Model):
     """
 
     id = models.CharField(max_length=127, primary_key=True)
-    company = models.ManyToManyField(Company, blank=True)
     name = models.CharField(max_length=255)
     description = models.TextField(blank=True, null=True)
     email = models.EmailField(blank=True, null=True)
@@ -146,8 +145,8 @@ class Equipment(models.Model):
     )
     # Hardware/firmware information
     serial_number = models.CharField(max_length=100, blank=True, null=True)
-    brand = models.CharField(max_length=100)
-    model = models.CharField(max_length=100)
+    brand = models.CharField(max_length=100, blank=True, null=True)
+    model = models.CharField(max_length=100, blank=True, null=True)
     os_version = models.CharField(max_length=100, blank=True, null=True)
     app_version = models.CharField(max_length=100, blank=True, null=True)
 
@@ -176,7 +175,7 @@ def save(self, *args: Any, **kwargs: Any) -> None:
 
     def __str__(self) -> str:
         """Return the equipment's data provider, brand, model, and ID."""
-        return f"{self.data_provider}: {self.brand} {self.model} ({self.id})"
+        return f"{self.data_provider}: {self.name} ({self.id})"
 
 
 class Sensor(models.Model):
@@ -236,8 +235,8 @@ class EquipmentLog(models.Model):
     )
     # Equipment information
     serial_number = models.CharField(max_length=100, blank=True, null=True)
-    brand = models.CharField(max_length=100)
-    model = models.CharField(max_length=100)
+    brand = models.CharField(max_length=100, blank=True, null=True)
+    model = models.CharField(max_length=100, blank=True, null=True)
     os_version = models.CharField(max_length=100, blank=True, null=True)
     app_version = models.CharField(max_length=100, blank=True, null=True)
     status = models.CharField(
diff --git a/backend/pyproject.toml b/backend/pyproject.toml
index 87e53ef..6115069 100644
--- a/backend/pyproject.toml
+++ b/backend/pyproject.toml
@@ -10,6 +10,7 @@ dependencies = [
     "channels-redis>=4.3.0",
     "daphne>=4.2.1",
     "django==6.0.4",
+    "django-cors-headers>=4.9.0",
     "django-celery-beat>=2.8.1",
     "django-celery-results>=2.6.0",
     "django-filter>=25.1",
@@ -103,10 +104,7 @@ DJANGO_SETTINGS_MODULE = "databus.settings"
 addopts = "--ignore=gtfs-eta"
 
 [tool.uv.workspace]
-members = [
-    "gtfs-io",
-    "gtfs-django",
-]
+members = ["gtfs-io", "gtfs-django"]
 
 [tool.uv.sources]
 # gtfs-eta lives in the sibling repo (simovilab/gtfs-eta), not in this
diff --git a/backend/uv.lock b/backend/uv.lock
index cb69c41..9898686 100644
--- a/backend/uv.lock
+++ b/backend/uv.lock
@@ -689,6 +689,7 @@ dependencies = [
     { name = "django" },
     { name = "django-celery-beat" },
     { name = "django-celery-results" },
+    { name = "django-cors-headers" },
     { name = "django-filter" },
     { name = "djangorestframework" },
     { name = "djangorestframework-gis" },
@@ -732,6 +733,7 @@ requires-dist = [
     { name = "django", specifier = "==6.0.4" },
     { name = "django-celery-beat", specifier = ">=2.8.1" },
     { name = "django-celery-results", specifier = ">=2.6.0" },
+    { name = "django-cors-headers", specifier = ">=4.9.0" },
     { name = "django-filter", specifier = ">=25.1" },
     { name = "djangorestframework", specifier = ">=3.16.1" },
     { name = "djangorestframework-gis", specifier = ">=1.2.0" },
@@ -843,6 +845,19 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/2c/da/70f0f3c5364735344c4bc89e53413bcaae95b4fc1de4e98a7a3b9fb70c88/django_celery_results-2.6.0-py3-none-any.whl", hash = "sha256:b9ccdca2695b98c7cbbb8dea742311ba9a92773d71d7b4944a676e69a7df1c73", size = 38351, upload-time = "2025-04-10T08:23:49.965Z" },
 ]
 
+[[package]]
+name = "django-cors-headers"
+version = "4.9.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "asgiref" },
+    { name = "django" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/21/39/55822b15b7ec87410f34cd16ce04065ff390e50f9e29f31d6d116fc80456/django_cors_headers-4.9.0.tar.gz", hash = "sha256:fe5d7cb59fdc2c8c646ce84b727ac2bca8912a247e6e68e1fb507372178e59e8", size = 21458, upload-time = "2025-09-18T10:40:52.326Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/30/d8/19ed1e47badf477d17fb177c1c19b5a21da0fd2d9f093f23be3fb86c5fab/django_cors_headers-4.9.0-py3-none-any.whl", hash = "sha256:15c7f20727f90044dcee2216a9fd7303741a864865f0c3657e28b7056f61b449", size = 12809, upload-time = "2025-09-18T10:40:50.843Z" },
+]
+
 [[package]]
 name = "django-debug-toolbar"
 version = "6.3.0"