Feature/incident postmortem export

Backend/db/migrations/003_post_mortem_fields.sql

@@ -0,0 +1,4 @@
+-- Campos para post-mortem editable/exportable por incidente.
+ALTER TABLE incidents
+  ADD COLUMN IF NOT EXISTS post_mortem_md TEXT,
+  ADD COLUMN IF NOT EXISTS post_mortem_updated_at TIMESTAMPTZ;

Backend/routers/incidents.py

@@ -2,6 +2,7 @@
 from typing import Literal, Optional
 
 from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException
+from fastapi.responses import JSONResponse, PlainTextResponse
 from pydantic import BaseModel, Field
 
 from auth import get_current_user
@@ -10,6 +11,12 @@
 from services.agents.memory.incidents import query_incidents
 from services.agents.memory.runbooks import query_runbooks
 from services.langgraph_engine import run_langgraph_engine
+from services.postmortem.formatters import format_incident_export_markdown
+from services.postmortem.service import (
+    build_incident_export_payload,
+    generate_post_mortem_for_incident,
+    save_post_mortem,
+)
 from services.prometheus import get_container_metrics, get_postgres_metrics
 
 router = APIRouter(prefix="/api/incidents", tags=["incidents"])
@@ -74,17 +81,108 @@ async def get_incident(incident_id: str, user=Depends(get_current_user)):
 async def update_incident_status(
     incident_id: str,
     body: IncidentStatusUpdate,
+    background_tasks: BackgroundTasks,
     user=Depends(get_current_user),
 ):
+    update_fields = {"status": body.status}
+    if body.status == "resolved":
+        from datetime import datetime, timezone
+        update_fields["resolved_at"] = datetime.now(tz=timezone.utc).isoformat()
+
     response = (
         supabase.table("incidents")
-        .update({"status": body.status})
+        .update(update_fields)
         .eq("id", incident_id)
         .execute()
     )
+
+    if body.status == "resolved":
+        background_tasks.add_task(generate_post_mortem_for_incident, incident_id)
+
     return response.data
 
 
+class UpdatePostMortemRequest(BaseModel):
+    content: str = Field(..., min_length=1, max_length=100000)
+
+
+@router.get("/{incident_id}/post-mortem")
+async def get_post_mortem(incident_id: str, user=Depends(get_current_user)):
+    try:
+        response = (
+            supabase.table("incidents")
+            .select("id,status,post_mortem_md,post_mortem_updated_at")
+            .eq("id", incident_id)
+            .single()
+            .execute()
+        )
+    except Exception:
+        raise HTTPException(status_code=404, detail="Incidente no encontrado")
+
+    incident = response.data
+    if not incident:
+        raise HTTPException(status_code=404, detail="Incidente no encontrado")
+
+    content = (incident.get("post_mortem_md") or "").strip()
+    generated = False
+    if not content and incident.get("status") == "resolved":
+        generated_content = generate_post_mortem_for_incident(incident_id)
+        content = (generated_content or "").strip()
+        generated = bool(content)
+
+    return {
+        "incident_id": incident_id,
+        "status": incident.get("status"),
+        "content": content,
+        "updated_at": incident.get("post_mortem_updated_at"),
+        "generated": generated,
+    }
+
+
+@router.put("/{incident_id}/post-mortem")
+async def update_post_mortem(
+    incident_id: str,
+    body: UpdatePostMortemRequest,
+    user=Depends(get_current_user),
+):
+    try:
+        exists = (
+            supabase.table("incidents")
+            .select("id")
+            .eq("id", incident_id)
+            .single()
+            .execute()
+        )
+    except Exception:
+        raise HTTPException(status_code=404, detail="Incidente no encontrado")
+
+    if not exists.data:
+        raise HTTPException(status_code=404, detail="Incidente no encontrado")
+
+    save_post_mortem(incident_id, body.content)
+    return {"incident_id": incident_id, "saved": True}
+
+
+@router.get("/{incident_id}/export")
+async def export_incident(
+    incident_id: str,
+    format: str = "json",
+    user=Depends(get_current_user),
+):
+    payload = build_incident_export_payload(incident_id)
+    if not payload:
+        raise HTTPException(status_code=404, detail="Incidente no encontrado")
+
+    fmt = (format or "json").lower()
+    if fmt == "json":
+        return JSONResponse(content=payload)
+    if fmt == "markdown":
+        md = format_incident_export_markdown(payload)
+        return PlainTextResponse(content=md, media_type="text/markdown")
+
+    raise HTTPException(status_code=400, detail="Formato no soportado. Usa 'json' o 'markdown'.")
+
+
 class CreateIncidentManual(BaseModel):
     title:       str  = Field(..., min_length=1, max_length=200)
     target:      str  = Field(..., min_length=1, max_length=100)

Backend/services/alert_processor.py

@@ -6,6 +6,7 @@
 import requests
 
 from db.supabase_client import supabase
+from services.postmortem.service import generate_post_mortem_for_incident
 
 logger = logging.getLogger(__name__)
 
@@ -319,5 +320,6 @@ def _resolve_incident(target: str) -> None:
             from services.incident_events import record_event
             for row in response.data:
                 record_event(row["id"], "resolved")
+                generate_post_mortem_for_incident(row["id"])
     except Exception as e:
         logger.error(f"Error resolviendo incidente para '{target}': {e}")

Backend/services/postmortem/__init__.py

@@ -0,0 +1,11 @@
+from services.postmortem.service import (
+    build_incident_export_payload,
+    generate_post_mortem_for_incident,
+    save_post_mortem,
+)
+
+__all__ = [
+    "build_incident_export_payload",
+    "generate_post_mortem_for_incident",
+    "save_post_mortem",
+]

Backend/services/postmortem/formatters.py

@@ -0,0 +1,122 @@
+from datetime import datetime
+from typing import Any
+
+
+def parse_iso(value: str | None) -> datetime | None:
+    if not value:
+        return None
+    try:
+        return datetime.fromisoformat(value.replace("Z", "+00:00"))
+    except Exception:
+        return None
+
+
+def format_mttr(created_at: str | None, resolved_at: str | None) -> str:
+    start = parse_iso(created_at)
+    end = parse_iso(resolved_at)
+    if not start or not end:
+        return "No disponible"
+
+    delta = end - start
+    total_sec = int(delta.total_seconds())
+    if total_sec < 0:
+        return "No disponible"
+
+    mins, sec = divmod(total_sec, 60)
+    hrs, mins = divmod(mins, 60)
+    if hrs:
+        return f"{hrs}h {mins}m {sec}s"
+    if mins:
+        return f"{mins}m {sec}s"
+    return f"{sec}s"
+
+
+def format_timeline_markdown(events: list[dict[str, Any]]) -> str:
+    if not events:
+        return "- Sin eventos registrados"
+
+    lines: list[str] = []
+    for event in events:
+        status = event.get("status", "unknown")
+        when = event.get("created_at") or event.get("updated_at") or ""
+        pretty_when = when.replace("T", " ").replace("+00:00", " UTC") if when else "sin fecha"
+        lines.append(f"- [{pretty_when}] `{status}`")
+    return "\n".join(lines)
+
+
+def format_incident_export_markdown(payload: dict[str, Any]) -> str:
+    incident = payload.get("metadata", {})
+    evidence = payload.get("evidence", {})
+    timeline = payload.get("timeline", [])
+    decisions = payload.get("decisions", [])
+    actions = payload.get("actions", [])
+
+    lines = [
+        f"# Incident Export: {incident.get('title') or 'Sin título'}",
+        "",
+        "## Metadata",
+        f"- ID: `{incident.get('id', 'N/A')}`",
+        f"- Severity: `{incident.get('severity', 'N/A')}`",
+        f"- Status: `{incident.get('status', 'N/A')}`",
+        f"- Source type: `{incident.get('source_type', 'N/A')}`",
+        f"- Target: `{incident.get('target', 'N/A')}`",
+        f"- Created at: `{incident.get('created_at', 'N/A')}`",
+        f"- Resolved at: `{incident.get('resolved_at', 'N/A')}`",
+        f"- MTTR: `{incident.get('mttr', 'No disponible')}`",
+        "",
+        "## Evidence",
+        "### Metrics Snapshot",
+        "```json",
+        str(evidence.get("metrics_snapshot") or {}),
+        "```",
+        "",
+        "### Logs",
+        (evidence.get("logs") or "Sin logs")[:4000],
+        "",
+        "### Agent Reasoning",
+        evidence.get("agent_reasoning") or "Sin razonamiento disponible",
+        "",
+        "## Timeline",
+    ]
+
+    if timeline:
+        for event in timeline:
+            lines.append(
+                f"- [{event.get('created_at', 'N/A')}] `{event.get('status', 'unknown')}`"
+            )
+    else:
+        lines.append("- Sin eventos")
+
+    lines.extend(["", "## Decisions"])
+    if decisions:
+        for decision in decisions:
+            detail = decision.get('detail', '')
+            lines.append(
+                f"- [{decision.get('at', 'N/A')}]"
+                f" {decision.get('type', 'decision')}: {detail}"
+            )
+    else:
+        lines.append("- Sin decisiones registradas")
+
+    lines.extend(["", "## Actions"])
+    if actions:
+        for action in actions:
+            lines.extend([
+                f"### {action.get('name', 'action')}",
+                f"- Command: `{action.get('command', 'N/A')}`",
+                f"- Executed at: `{action.get('executed_at', 'N/A')}`",
+                f"- Status: `{action.get('status', 'N/A')}`",
+                "- Output:",
+                "```",
+                (action.get("output") or "")[0:3000],
+                "```",
+                "",
+            ])
+    else:
+        lines.append("- Sin acciones registradas")
+
+    post_mortem = payload.get("post_mortem")
+    if post_mortem:
+        lines.extend(["", "## Post-Mortem", post_mortem])
+
+    return "\n".join(lines).strip() + "\n"

Backend/services/postmortem/generator.py

@@ -0,0 +1,92 @@
+import json
+import logging
+import os
+from typing import Any
+
+from langchain_core.messages import HumanMessage
+from langchain_openai import ChatOpenAI
+
+from services.postmortem.formatters import format_timeline_markdown
+from services.postmortem.template import render_post_mortem_template
+
+logger = logging.getLogger(__name__)
+
+
+def _fallback_post_mortem(
+    incident: dict[str, Any], timeline: list[dict[str, Any]], mttr: str
+) -> str:
+    resolution = (
+        incident.get("action_result")
+        or "Se estabilizó el servicio y quedó en estado resolved."
+    )[:700]
+    return render_post_mortem_template(
+        title=incident.get("title") or "Incidente",
+        summary=(incident.get("logs") or "No hay descripción disponible")[:700],
+        root_cause="Pendiente de validación manual por el equipo de guardia.",
+        timeline=format_timeline_markdown(timeline),
+        resolution=resolution,
+        mttr=mttr,
+        lessons_learned=(
+            "1. Mejorar observabilidad en componentes críticos.\n"
+            "2. Definir runbooks más específicos por tipo de incidente."
+        ),
+        preventive_actions=(
+            "1. Agregar alertas tempranas con umbrales más conservadores.\n"
+            "2. Revisar capacidad y límites del recurso afectado."
+        ),
+    )
+
+
+def generate_post_mortem_with_llm(
+    incident: dict[str, Any],
+    timeline: list[dict[str, Any]],
+    mttr: str,
+) -> str:
+    api_key = os.getenv("OPENAI_API_KEY")
+    if not api_key:
+        return _fallback_post_mortem(incident, timeline, mttr)
+
+    timeline_text = format_timeline_markdown(timeline)
+    payload = {
+        "title": incident.get("title"),
+        "severity": incident.get("severity"),
+        "status": incident.get("status"),
+        "target": incident.get("target"),
+        "source_type": incident.get("source_type"),
+        "logs": (incident.get("logs") or "")[:2500],
+        "agent_reasoning": (incident.get("agent_reasoning") or "")[:3500],
+        "action_result": (incident.get("action_result") or "")[:1500],
+        "action_error": (incident.get("action_error") or "")[:1000],
+        "timeline": timeline_text,
+        "mttr": mttr,
+    }
+
+    prompt = (
+        "Genera un post-mortem técnico en español en formato Markdown. "
+        "Responde SOLO con markdown y usando exactamente estas secciones:\n"
+        "# Post-Mortem: [Incident Title]\n"
+        "## Summary\n"
+        "## Root Cause\n"
+        "## Timeline\n"
+        "## Resolution\n"
+        "## MTTR\n"
+        "## Lessons Learned\n"
+        "## Preventive Actions\n\n"
+        "Debe ser concreto, accionable y no inventar datos fuera del contexto.\n\n"
+        f"Contexto JSON:\n{json.dumps(payload, ensure_ascii=False)}"
+    )
+
+    try:
+        llm = ChatOpenAI(
+            model=os.getenv("OPENAI_MODEL", "gpt-4o-mini"),
+            temperature=0.2,
+            api_key=api_key,
+            timeout=45,
+            max_retries=1,
+        )
+        response = llm.invoke([HumanMessage(content=prompt)])
+        content = (response.content or "").strip()
+        return content or _fallback_post_mortem(incident, timeline, mttr)
+    except Exception as exc:
+        logger.warning(f"[postmortem.generator] Fallback por error de LLM: {exc}")
+        return _fallback_post_mortem(incident, timeline, mttr)