From f97c2f0cb20be7f91b4be8599cea38f9d617cfad Mon Sep 17 00:00:00 2001 From: "F.N. Claessen" Date: Sat, 11 Jul 2026 15:06:21 +0200 Subject: [PATCH 001/131] feat: add Automation data model Automations are recurring tasks (for now: computing forecasts) defined per asset. The recurrence is defined by a cron string, and the work to be done is defined by a data generator (linked through a data source) together with the parameters to call it with. Includes a migration for the new table, and new dependencies on croniter (cron matching/validation) and cron-descriptor (natural-language recurrence descriptions). Part of FlexMeasures/flexmeasures#2288 Co-Authored-By: Claude Fable 5 Claude-Session: https://claude.ai/code/session_01Rbix8k1JfeUWNXEmHEZVpX --- flexmeasures/data/config.py | 1 + .../8ecec35b799c_add_automation_table.py | 53 + flexmeasures/data/models/automations.py | 90 + pyproject.toml | 3 + uv.lock | 4892 +++++++++-------- 5 files changed, 2604 insertions(+), 2435 deletions(-) create mode 100644 flexmeasures/data/migrations/versions/8ecec35b799c_add_automation_table.py create mode 100644 flexmeasures/data/models/automations.py diff --git a/flexmeasures/data/config.py b/flexmeasures/data/config.py index f8c98c6c8e..142fa0ab03 100644 --- a/flexmeasures/data/config.py +++ b/flexmeasures/data/config.py @@ -49,6 +49,7 @@ def configure_db_for(app: Flask): user, task_runs, forecasting, + automations, ) # noqa: F401 # This would create db structure based on models, but you should use `flask db upgrade` for that. diff --git a/flexmeasures/data/migrations/versions/8ecec35b799c_add_automation_table.py b/flexmeasures/data/migrations/versions/8ecec35b799c_add_automation_table.py new file mode 100644 index 0000000000..b283ad2938 --- /dev/null +++ b/flexmeasures/data/migrations/versions/8ecec35b799c_add_automation_table.py @@ -0,0 +1,53 @@ +"""add automation table + +Revision ID: 8ecec35b799c +Revises: 55d8936a55f9 +Create Date: 2026-07-11 10:00:00.000000 + +""" + +from alembic import op +import sqlalchemy as sa +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision = "8ecec35b799c" +down_revision = "55d8936a55f9" +branch_labels = None +depends_on = None + + +def upgrade(): + op.create_table( + "automation", + sa.Column("id", sa.Integer(), autoincrement=True, nullable=False), + sa.Column("created_at", sa.DateTime(timezone=True), nullable=False), + sa.Column("asset_id", sa.Integer(), nullable=False), + sa.Column("type", sa.String(length=80), nullable=False), + sa.Column("name", sa.String(length=80), nullable=False), + sa.Column("cronstr", sa.String(length=80), nullable=False), + sa.Column("active", sa.Boolean(), nullable=False), + sa.Column("generator_id", sa.Integer(), nullable=True), + sa.Column( + "parameters", + postgresql.JSONB(astext_type=sa.Text()), + nullable=False, + ), + sa.ForeignKeyConstraint( + ["asset_id"], + ["generic_asset.id"], + name=op.f("automation_asset_id_generic_asset_fkey"), + ondelete="CASCADE", + ), + sa.ForeignKeyConstraint( + ["generator_id"], + ["data_source.id"], + name=op.f("automation_generator_id_data_source_fkey"), + ondelete="CASCADE", + ), + sa.PrimaryKeyConstraint("id", name=op.f("automation_pkey")), + ) + + +def downgrade(): + op.drop_table("automation") diff --git a/flexmeasures/data/models/automations.py b/flexmeasures/data/models/automations.py new file mode 100644 index 0000000000..f1b56133f5 --- /dev/null +++ b/flexmeasures/data/models/automations.py @@ -0,0 +1,90 @@ +""" +Automations: recurring tasks (for now: forecasting) defined per asset. +""" + +from __future__ import annotations + +from sqlalchemy.dialects.postgresql import JSONB +from sqlalchemy.ext.mutable import MutableDict + +from flexmeasures.auth.policy import ( + AuthModelMixin, + ACCOUNT_ADMIN_ROLE, + CONSULTANT_ROLE, +) +from flexmeasures.data import db +from flexmeasures.utils.time_utils import server_now + + +class Automation(db.Model, AuthModelMixin): + """A recurring task on an asset, such as computing forecasts. + + The recurrence is defined by a cron string, and the work to be done is defined + by a data generator (e.g. a forecaster, linked through a data source) together + with the parameters to call it with. + """ + + __tablename__ = "automation" + + SUPPORTED_TYPES = ["forecasts"] # later also "schedules" and "reports" + + id = db.Column(db.Integer, autoincrement=True, primary_key=True) + created_at = db.Column( + db.DateTime(timezone=True), nullable=False, default=server_now + ) + asset_id = db.Column( + db.Integer, + db.ForeignKey("generic_asset.id", ondelete="CASCADE"), + nullable=False, + ) + type = db.Column(db.String(80), nullable=False, default="forecasts") + name = db.Column(db.String(80), nullable=False) + cronstr = db.Column(db.String(80), nullable=False) + active = db.Column(db.Boolean, nullable=False, default=True) + generator_id = db.Column( + db.Integer, db.ForeignKey("data_source.id", ondelete="CASCADE"), nullable=True + ) + parameters = db.Column(MutableDict.as_mutable(JSONB), nullable=False, default={}) + + asset = db.relationship( + "GenericAsset", + foreign_keys=[asset_id], + backref=db.backref( + "automations", lazy=True, cascade="all, delete-orphan", passive_deletes=True + ), + ) + generator = db.relationship("DataSource", foreign_keys=[generator_id]) + + def __acl__(self): + """ + Whoever can read the asset can read its automations. + Creating, updating and deleting automations is allowed for + account admins and consultants. + """ + account_id = self.asset.account_id if self.asset is not None else None + owner = self.asset.owner if self.asset is not None else None + admin_or_consultant = [ + (f"account:{account_id}", f"role:{ACCOUNT_ADMIN_ROLE}"), + ( + ( + f"account:{owner.consultancy_account_id}", + f"role:{CONSULTANT_ROLE}", + ) + if owner is not None + else () + ), + ] + return { + "read": self.asset.__acl__()["read"] if self.asset is not None else [], + "update": admin_or_consultant, + "delete": admin_or_consultant, + } + + def __repr__(self): + return "" % ( + self.id, + self.name, + self.type, + self.asset_id, + "active" if self.active else "inactive", + ) diff --git a/pyproject.toml b/pyproject.toml index 391143a324..5698ef09c9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -50,6 +50,9 @@ dependencies = [ "isodate>=0.7.2", "click>=8.2.0", "click-default-group>=1.2.4", + # for automations: matching cron strings and describing them in natural language + "croniter>=2.0.0", + "cron-descriptor>=1.4.0", "email-validator>=2.3.0", "rq>=2.6.1", # sort order diff --git a/uv.lock b/uv.lock index 9e234afa4d..473c2bfacc 100644 --- a/uv.lock +++ b/uv.lock @@ -1,22 +1,22 @@ version = 1 -revision = 3 +revision = 1 requires-python = ">=3.10, <3.13" resolution-markers = [ - "(python_full_version >= '3.12' and os_name == 'nt' and sys_platform == 'linux') or (python_full_version >= '3.12' and os_name == 'win' and sys_platform == 'linux')", - "(python_full_version == '3.11.*' and os_name == 'nt' and sys_platform == 'linux') or (python_full_version == '3.11.*' and os_name == 'win' and sys_platform == 'linux')", + "python_full_version >= '3.12' and os_name == 'win' and sys_platform == 'linux'", + "python_full_version == '3.11.*' and os_name == 'win' and sys_platform == 'linux'", "python_full_version >= '3.12' and os_name != 'nt' and os_name != 'win' and sys_platform == 'linux'", "python_full_version == '3.11.*' and os_name != 'nt' and os_name != 'win' and sys_platform == 'linux'", - 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== 'darwin') or (python_full_version < '3.11' and os_name != 'nt' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, + { name = "marshmallow", version = "4.3.0", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.11' and os_name != 'nt' and sys_platform == 'darwin') or (python_full_version >= '3.11' and os_name != 'nt' and sys_platform == 'linux') or (python_full_version >= '3.11' and sys_platform == 'win32')" }, + { name = "marshmallow-oneofschema", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "marshmallow-polyfield", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "marshmallow-sqlalchemy", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "pandas", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "pillow", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "pint", version = "0.24.4", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.11' and os_name != 'nt' and sys_platform == 'darwin') or (python_full_version < '3.11' and os_name != 'nt' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, + { name = "pint", version = "0.25.3", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.11' and os_name != 'nt' and sys_platform == 'darwin') or (python_full_version >= '3.11' and os_name != 'nt' and sys_platform == 'linux') or (python_full_version >= '3.11' and sys_platform == 'win32')" }, + { name = "psycopg2-binary", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "py-moneyed", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "pydantic", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "pyomo", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "pyopenssl", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "python-dotenv", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "pytz", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "pyyaml", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "redis", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "rq", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "rq-dashboard", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "rq-win", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "sentry-sdk", extra = ["flask"], marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "sqlalchemy", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "tabulate", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "timely-beliefs", extra = ["forecast"], marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "tldextract", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "uniplot", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "urllib3", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "vl-convert-python", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "webargs", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "werkzeug", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "workalendar", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "xlrd", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, ] [package.dev-dependencies] dev = [ - { name = "black", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "flake8", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "flake8-blind-except", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "mypy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "poethepoet", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "pyinstrument", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "pytest-runner", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "types-click", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "types-flask", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "types-python-dateutil", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "types-pytz", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "types-pyyaml", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "types-redis", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "types-requests", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "types-setuptools", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "types-tabulate", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "types-tzlocal", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "watchdog", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "black", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "flake8", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "flake8-blind-except", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "mypy", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "poethepoet", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "pyinstrument", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "pytest-runner", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "types-click", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "types-flask", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "types-python-dateutil", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "types-pytz", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "types-pyyaml", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "types-redis", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "types-requests", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "types-setuptools", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "types-tabulate", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "types-tzlocal", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "watchdog", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, ] docs = [ - { name = "sphinx", version = "8.1.3", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, - { name = "sphinx", version = "9.0.4", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version == '3.11.*' and sys_platform == 'darwin') or (python_full_version == '3.11.*' and sys_platform == 'linux') or (python_full_version == '3.11.*' and sys_platform == 'win32')" }, - { name = "sphinx", version = "9.1.0", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.12' and sys_platform == 'darwin') or (python_full_version >= '3.12' and sys_platform == 'linux') or (python_full_version >= '3.12' and sys_platform == 'win32')" }, - { name = "sphinx-copybutton", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "sphinx-fontawesome", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "sphinx-rtd-theme", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "sphinx-tabs", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "sphinxcontrib-httpdomain", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "sphinxcontrib-mermaid", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "sphinxcontrib-openapi", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "sphinx", version = "8.1.3", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.11' and os_name != 'nt' and sys_platform == 'darwin') or (python_full_version < '3.11' and os_name != 'nt' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, + { name = "sphinx", version = "9.0.4", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version == '3.11.*' and os_name != 'nt' and sys_platform == 'darwin') or (python_full_version == '3.11.*' and os_name != 'nt' and sys_platform == 'linux') or (python_full_version == '3.11.*' and sys_platform == 'win32')" }, + { name = "sphinx", version = "9.1.0", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.12' and os_name != 'nt' and sys_platform == 'darwin') or (python_full_version >= '3.12' and os_name != 'nt' and sys_platform == 'linux') or (python_full_version >= '3.12' and sys_platform == 'win32')" }, + { name = "sphinx-copybutton", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "sphinx-fontawesome", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "sphinx-rtd-theme", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "sphinx-tabs", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "sphinxcontrib-httpdomain", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "sphinxcontrib-mermaid", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "sphinxcontrib-openapi", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, ] test = [ - { name = "fakeredis", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "lupa", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "openpyxl", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "pytest", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "pytest-cov", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "pytest-flask", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "pytest-mock", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "pytest-runner", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "pytest-sugar", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "requests", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "requests-mock", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "fakeredis", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "lupa", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "openpyxl", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "pytest", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "pytest-cov", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "pytest-flask", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "pytest-mock", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "pytest-runner", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "pytest-sugar", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "requests", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "requests-mock", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, ] visualize-data-model = [ - { name = "packaging", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "pillow", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "sqlalchemy-schemadisplay", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "packaging", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "pillow", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or sys_platform == 'win32'" }, + { name = "sqlalchemy-schemadisplay", marker = "(os_name != 'nt' and sys_platform == 'darwin') or (os_name != 'nt' and sys_platform == 'linux') or 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Claessen" Date: Sat, 11 Jul 2026 15:07:04 +0200 Subject: [PATCH 002/131] feat: CLI commands to manage and run automations - `flexmeasures add automation` creates an automation (active by default), validating the forecast parameters with the forecast parameter schema and storing the forecaster config on a data source. - `flexmeasures edit automation` edits the name, recurrence (cron string) or activation status. - `flexmeasures delete automation` deletes an automation. - All three record their events in the asset's audit log. - `flexmeasures jobs run-automations` queues jobs for all automations due this minute (to be run once per minute, e.g. via cron), with a Redis-based guard against duplicate runs within the same minute. Part of FlexMeasures/flexmeasures#2288 Co-Authored-By: Claude Fable 5 Claude-Session: https://claude.ai/code/session_01Rbix8k1JfeUWNXEmHEZVpX --- flexmeasures/cli/data_add.py | 171 +++++++++++++++++++++- flexmeasures/cli/data_delete.py | 33 +++++ flexmeasures/cli/data_edit.py | 62 ++++++++ flexmeasures/cli/jobs.py | 59 ++++++++ flexmeasures/data/schemas/automations.py | 61 ++++++++ flexmeasures/data/services/automations.py | 87 +++++++++++ 6 files changed, 472 insertions(+), 1 deletion(-) create mode 100644 flexmeasures/data/schemas/automations.py create mode 100644 flexmeasures/data/services/automations.py diff --git a/flexmeasures/cli/data_add.py b/flexmeasures/cli/data_add.py index 0ff8ef6c11..dd6a2bdd98 100755 --- a/flexmeasures/cli/data_add.py +++ b/flexmeasures/cli/data_add.py @@ -17,7 +17,7 @@ from io import TextIOBase from string import Template -from marshmallow import validate +from marshmallow import validate, ValidationError import pandas as pd import pytz from flask import current_app as app @@ -57,6 +57,8 @@ ) from flexmeasures.data.models.data_sources import DataSource, DEFAULT_DATASOURCE_TYPES from flexmeasures.data.models.annotations import Annotation, get_or_create_annotation +from flexmeasures.data.models.automations import Automation +from flexmeasures.data.schemas.automations import CronField from flexmeasures.data.schemas import ( AccountIdField, AwareDateTimeField, @@ -1149,6 +1151,8 @@ def add_forecast( # noqa: C901 data_generator_type=Forecaster, ) + forecaster.set_job_trigger("CLI") + try: # Drop None values parameters = {k: v for k, v in parameters.items() if v is not None} @@ -1180,6 +1184,171 @@ def add_forecast( # noqa: C901 raise +@fm_add_data.command("automation") +@with_appcontext +@click.option( + "--asset", + "asset", + required=True, + type=AssetIdField(), + help="ID of the asset to automate a recurring task for.", +) +@click.option( + "--name", + "name", + required=True, + type=click.STRING, + help="Name of the automation.", +) +@click.option( + "--cron", + "cronstr", + required=True, + type=CronField(), + help='Recurrence of the automation as a cron string, e.g. "0 6 * * *" for daily at 6 AM (in the FLEXMEASURES_TIMEZONE).', +) +@click.option( + "--type", + "automation_type", + default="forecasts", + show_default=True, + type=click.Choice(Automation.SUPPORTED_TYPES), + help="Type of task to automate.", +) +@click.option( + "--inactive", + "inactive", + is_flag=True, + help="Add this flag to create the automation in deactivated state.", +) +@click.option( + "--forecaster", + "forecaster_class", + default="TrainPredictPipeline", + type=click.STRING, + help="Forecaster class registered in flexmeasures.data.models.forecasting or in an available flexmeasures plugin." + " Use the command `flexmeasures show forecasters` to list all the available forecasters.", +) +@click.option( + "--source", + "source", + required=False, + type=DataSourceIdField(), + help="DataSource ID of the `Forecaster`.", +) +@click.option( + "--config", + "config_file", + required=False, + type=click.File("r"), + help="Path to the JSON or YAML file with the configuration of the forecaster.", +) +@click.option( + "--parameters", + "parameters_file", + required=False, + type=click.File("r"), + help="Path to the JSON or YAML file with the forecast parameters (passed to the compute step on each run of the automation).", +) +@add_cli_options_from_schema(ForecasterParametersSchema()) +@add_cli_options_from_schema(TrainPredictPipelineConfigSchema()) +def add_automation( + asset: GenericAsset, + name: str, + cronstr: str, + automation_type: str, + inactive: bool = False, + forecaster_class: str = "TrainPredictPipeline", + source: DataSource | None = None, + config_file: TextIOBase | None = None, + parameters_file: TextIOBase | None = None, + **kwargs, +): + """ + Add an automation: a recurring task (for now, computing forecasts) on an asset. + + \b + Example + flexmeasures add automation --asset 3 --name "Day-ahead PV forecasts" + --cron "0 6 * * *" --sensor 2092 --regressors 2093 + + The forecaster configuration is stored on a data source, and the forecast + parameters are validated and stored on the automation itself. + Each time the automation runs, forecasting jobs are queued + (see `flexmeasures jobs run-automations`). + """ + config = dict() + if config_file: + config = yaml.safe_load(config_file) + for field_name, field in TrainPredictPipelineConfigSchema._declared_fields.items(): + if field_value := kwargs.pop(field_name, None): + config[field.data_key] = field_value + + parameters = dict() + if parameters_file: + parameters = yaml.safe_load(parameters_file) + + # Move remaining kwargs to parameters, converting from snake_case to kebab-case to match schema expectation + for k, v in kwargs.items(): + kebab_key = snake_to_kebab(k) + if kebab_key not in parameters: + parameters[kebab_key] = v + + # Drop None values + parameters = {k: v for k, v in parameters.items() if v is not None} + + # Validate the parameters using the forecast parameters schema (we store them serialized) + try: + deserialized_parameters = ForecasterParametersSchema().load(parameters) + except ValidationError as e: + click.secho(f"Invalid forecast parameters: {e.messages}", **MsgStyle.ERROR) + raise click.Abort() + sensor = deserialized_parameters.get("sensor") + if isinstance(sensor, Sensor) and sensor.generic_asset_id != asset.id: + click.secho( + f"Warning: the sensor to forecast ({sensor.id}) does not belong to asset {asset.id}.", + **MsgStyle.WARN, + ) + + forecaster = get_data_generator( + source=source, + model=forecaster_class, + config=config, + save_config=True, + data_generator_type=Forecaster, + ) + if forecaster is None: + click.secho( + f"Could not set up forecaster '{forecaster_class}'.", **MsgStyle.ERROR + ) + raise click.Abort() + generator = ( + forecaster.data_source + ) # looks up or creates the data source storing the forecaster config + db.session.flush() + + automation = Automation( + asset_id=asset.id, + type=automation_type, + name=name, + cronstr=cronstr, + active=not inactive, + generator_id=generator.id, + parameters=parameters, + ) + db.session.add(automation) + db.session.flush() + AssetAuditLog.add_record( + asset, f"Created automation '{name}' ({automation.id}) via CLI." + ) + db.session.commit() + click.secho( + f"Successfully created {'inactive ' if inactive else ''}automation '{name}' (ID: {automation.id})" + f" to compute {automation_type} for asset {asset.id}, recurring per cron string '{cronstr}'.", + **MsgStyle.SUCCESS, + ) + + @fm_add_data.command("schedule") @with_appcontext @click.option( diff --git a/flexmeasures/cli/data_delete.py b/flexmeasures/cli/data_delete.py index 6b1fbb7431..6830650fbd 100644 --- a/flexmeasures/cli/data_delete.py +++ b/flexmeasures/cli/data_delete.py @@ -17,7 +17,10 @@ from flexmeasures import Source from flexmeasures.data import db from flexmeasures.data.models.user import Account, AccountRole, RolesAccounts, User +from flexmeasures.data.models.audit_log import AssetAuditLog +from flexmeasures.data.models.automations import Automation from flexmeasures.data.models.generic_assets import GenericAsset +from flexmeasures.data.schemas.automations import AutomationIdField from flexmeasures.data.models.time_series import Sensor, TimedBelief from flexmeasures.data.schemas import ( AccountIdField, @@ -33,6 +36,7 @@ done, DeprecatedOption, DeprecatedOptionsCommand, + MsgStyle, ) from flexmeasures.utils.flexmeasures_inflection import join_words_into_a_list from flexmeasures.utils.secrets_utils import delete_secret, get_secret_paths @@ -273,6 +277,35 @@ def delete_asset_and_data(asset: GenericAsset, force: bool): db.session.commit() +@fm_delete_data.command("automation") +@with_appcontext +@click.option( + "--id", + "automation", + required=True, + type=AutomationIdField(), + help="ID of the automation to delete.", +) +@click.option("--force/--no-force", default=False, help="Skip confirmation prompt.") +def delete_automation(automation: Automation, force: bool): + """ + Delete an automation. + """ + if not force: + prompt = f"Delete automation '{automation.name}' (ID: {automation.id}) of asset '{automation.asset.name}'?" + click.confirm(prompt, abort=True) + AssetAuditLog.add_record( + automation.asset, + f"Deleted automation '{automation.name}' ({automation.id}) via CLI.", + ) + db.session.delete(automation) + db.session.commit() + click.secho( + f"Successfully deleted automation '{automation.name}' (ID: {automation.id}).", + **MsgStyle.SUCCESS, + ) + + @fm_delete_data.command("structure") @with_appcontext @click.option( diff --git a/flexmeasures/cli/data_edit.py b/flexmeasures/cli/data_edit.py index 8505013cfa..1e7b97c4f7 100644 --- a/flexmeasures/cli/data_edit.py +++ b/flexmeasures/cli/data_edit.py @@ -19,7 +19,9 @@ from flexmeasures.data.schemas import AssetIdField from flexmeasures.data.schemas.sensors import SensorIdField from flexmeasures.data.models.generic_assets import GenericAsset +from flexmeasures.data.models.automations import Automation from flexmeasures.data.models.audit_log import AssetAuditLog, AuditLog +from flexmeasures.data.schemas.automations import AutomationIdField, CronField from flexmeasures.data.models.time_series import TimedBelief from flexmeasures.data.utils import save_to_db from flexmeasures.cli.utils import ( @@ -53,6 +55,66 @@ def fm_edit_data(): """FlexMeasures: Edit data.""" +@fm_edit_data.command("automation") +@with_appcontext +@click.option( + "--id", + "automation", + required=True, + type=AutomationIdField(), + help="ID of the automation to edit.", +) +@click.option( + "--name", + "name", + required=False, + type=click.STRING, + help="New name of the automation.", +) +@click.option( + "--cron", + "cronstr", + required=False, + type=CronField(), + help='New recurrence of the automation as a cron string, e.g. "0 6 * * *".', +) +@click.option( + "--activate/--deactivate", + "active", + default=None, + help="Activate or deactivate the automation.", +) +def edit_automation( + automation: Automation, + name: str | None = None, + cronstr: str | None = None, + active: bool | None = None, +): + """Edit the name, recurrence (cron string) or activation status of an automation.""" + changes = [] + if name is not None and name != automation.name: + changes.append(f"name: '{automation.name}' → '{name}'") + automation.name = name + if cronstr is not None and cronstr != automation.cronstr: + changes.append(f"cron string: '{automation.cronstr}' → '{cronstr}'") + automation.cronstr = cronstr + if active is not None and active != automation.active: + changes.append("activated" if active else "deactivated") + automation.active = active + if not changes: + click.secho("Nothing to change.", **MsgStyle.WARN) + return + AssetAuditLog.add_record( + automation.asset, + f"Updated automation '{automation.name}' ({automation.id}): {'; '.join(changes)}. Via CLI.", + ) + db.session.commit() + click.secho( + f"Successfully updated automation '{automation.name}' (ID: {automation.id}): {'; '.join(changes)}.", + **MsgStyle.SUCCESS, + ) + + @fm_edit_data.command("attribute") @with_appcontext @click.option( diff --git a/flexmeasures/cli/jobs.py b/flexmeasures/cli/jobs.py index 3a924e6b92..df91fb6282 100644 --- a/flexmeasures/cli/jobs.py +++ b/flexmeasures/cli/jobs.py @@ -30,7 +30,13 @@ from tabulate import tabulate import pandas as pd +from flexmeasures.data import db from flexmeasures.data.schemas import AssetIdField, SensorIdField +from flexmeasures.data.services.automations import ( + floor_to_minute, + get_due_automations, + run_automation, +) from flexmeasures.data.services.scheduling import handle_scheduling_exception from flexmeasures.data.services.forecasting import handle_forecasting_exception from flexmeasures.utils.job_utils import work_on_rq @@ -55,6 +61,59 @@ def fm_jobs(): """FlexMeasures: Job queueing.""" +@fm_jobs.command("run-automations") +@with_appcontext +def run_automations(): + """ + Queue jobs for all automations that are due to run this minute. + + An automation is due when its cron string (interpreted in the FLEXMEASURES_TIMEZONE) + matches the current minute. Run this command once per minute (e.g. via cron): + + \b + * * * * * flexmeasures jobs run-automations + + A Redis-based guard prevents queueing jobs twice if the command happens to run + more than once within the same minute. + """ + now = floor_to_minute(server_now()) + due_automations = get_due_automations(now) + if not due_automations: + click.secho(f"No automations due at {now}.", **MsgStyle.SUCCESS) + return + + connection = app.queues["forecasting"].connection + n_run = 0 + n_failed = 0 + for automation in due_automations: + # guard against running the same automation twice within the same minute + guard_key = f"automation-run:{automation.id}:{now.isoformat()}" + if not connection.set(guard_key, 1, nx=True, ex=120): + click.secho( + f"Automation {automation.id} ('{automation.name}') already ran at {now}. Skipping.", + **MsgStyle.WARN, + ) + continue + try: + returns = run_automation(automation) + n_jobs = returns.get("n_jobs") if returns else 0 + click.secho( + f"Automation {automation.id} ('{automation.name}') queued {n_jobs} forecasting job(s) for asset {automation.asset_id}.", + **MsgStyle.SUCCESS, + ) + n_run += 1 + except Exception as e: + db.session.rollback() + click.secho( + f"Automation {automation.id} ('{automation.name}') failed to queue jobs: {e}", + **MsgStyle.ERROR, + ) + n_failed += 1 + if n_failed: + click.secho(f"{n_run} automation(s) ran, {n_failed} failed.", **MsgStyle.ERROR) + raise click.exceptions.Exit(1) + + @fm_jobs.command("stats") @with_appcontext @click.option( diff --git a/flexmeasures/data/schemas/automations.py b/flexmeasures/data/schemas/automations.py new file mode 100644 index 0000000000..879dfa80d2 --- /dev/null +++ b/flexmeasures/data/schemas/automations.py @@ -0,0 +1,61 @@ +from __future__ import annotations + +from croniter import croniter +from marshmallow import fields, validates, ValidationError + +from flexmeasures.data import ma, db +from flexmeasures.data.models.automations import Automation +from flexmeasures.data.schemas.utils import ( + FMValidationError, + MarshmallowClickMixin, + with_appcontext_if_needed, +) + + +class CronField(MarshmallowClickMixin, fields.Str): + """Field that validates a cron string (e.g. "0 6 * * *").""" + + def _deserialize(self, value, attr, obj, **kwargs) -> str: + value = super()._deserialize(value, attr, obj, **kwargs) + if not croniter.is_valid(value): + raise FMValidationError(f"'{value}' is not a valid cron string.") + return value + + +class AutomationIdField(MarshmallowClickMixin, fields.Int): + """Field that deserializes to an Automation and serializes back to an integer.""" + + @with_appcontext_if_needed() + def _deserialize(self, value, attr, obj, **kwargs) -> Automation: + """Turn an automation id into an Automation.""" + value = super()._deserialize(value, attr, obj, **kwargs) + automation = db.session.get(Automation, value) + if automation is None: + raise FMValidationError(f"No automation found with id {value}.") + return automation + + def _serialize(self, automation, attr, data, **kwargs): + """Turn an Automation into an automation id.""" + return automation.id + + +class AutomationSchema(ma.SQLAlchemySchema): + """Automation schema, with validations.""" + + class Meta: + model = Automation + + id = ma.auto_field(dump_only=True) + created_at = ma.auto_field(dump_only=True) + asset_id = ma.auto_field() + type = ma.auto_field() + name = ma.auto_field(required=True) + cronstr = CronField(required=True) + active = ma.auto_field() + + @validates("type") + def validate_type(self, type: str, **kwargs): + if type not in Automation.SUPPORTED_TYPES: + raise ValidationError( + f"Automation type '{type}' is not supported (supported types: {Automation.SUPPORTED_TYPES})." + ) diff --git a/flexmeasures/data/services/automations.py b/flexmeasures/data/services/automations.py new file mode 100644 index 0000000000..27b7ef9058 --- /dev/null +++ b/flexmeasures/data/services/automations.py @@ -0,0 +1,87 @@ +""" +Logic for running automations (see also the CLI command `flexmeasures jobs run-automations`). +""" + +from __future__ import annotations + +from datetime import datetime +from typing import Any + +from cron_descriptor import get_description +from croniter import croniter +from sqlalchemy import select + +from flexmeasures import Forecaster +from flexmeasures.data import db +from flexmeasures.data.models.automations import Automation +from flexmeasures.utils.time_utils import get_timezone, server_now + + +def describe_cronstr(cronstr: str) -> str: + """Describe a cron string in natural language, e.g. "At 06:00 AM".""" + try: + return get_description(cronstr) + except Exception: + return cronstr + + +def floor_to_minute(dt: datetime) -> datetime: + """Floor a datetime to the minute, in the FLEXMEASURES_TIMEZONE.""" + return dt.astimezone(get_timezone()).replace(second=0, microsecond=0) + + +def get_due_automations(now: datetime | None = None) -> list[Automation]: + """Return active automations whose cron string matches the given (or current) minute. + + Cron strings are interpreted in the FLEXMEASURES_TIMEZONE. + """ + if now is None: + now = server_now() + now = floor_to_minute(now) + active_automations = ( + db.session.scalars(select(Automation).filter_by(active=True)).unique().all() + ) + return [ + automation + for automation in active_automations + if croniter.match(automation.cronstr, now) + ] + + +def get_automation_job_stats(automation: Automation) -> dict[str, int]: + """Count the jobs created by this automation, per job status. + + Note that jobs in Redis have a limited TTL, so this only counts fairly recent jobs. + """ + from flask import current_app + + counts: dict[str, int] = {} + for sensor in automation.asset.sensors: + for job in current_app.job_cache.get(sensor.id, "forecasting", "sensor"): + if job.meta.get("trigger", {}).get("automation_id") == automation.id: + status = str(job.get_status().value) + counts[status] = counts.get(status, 0) + 1 + return counts + + +def run_automation(automation: Automation) -> dict[str, Any] | None: + """Queue the jobs for one run of an automation. + + :returns: the data generator's return value, e.g. {"job_id": , "n_jobs": } + for forecasting jobs. + """ + if automation.type != "forecasts": + raise NotImplementedError( + f"Automations of type '{automation.type}' cannot be run yet." + ) + if automation.generator is None: + raise ValueError( + f"Automation {automation.id} has no data generator to run (generator_id is not set)." + ) + forecaster = automation.generator.data_generator + if not isinstance(forecaster, Forecaster): + raise ValueError( + f"Data source {automation.generator_id} of automation {automation.id} does not store a Forecaster." + ) + forecaster.set_job_trigger("automation", automation_id=automation.id) + return forecaster.compute(as_job=True, parameters=dict(automation.parameters)) From 6f6591cd61294efec53c8b4d88500d0a2e5929d1 Mon Sep 17 00:00:00 2001 From: "F.N. Claessen" Date: Sat, 11 Jul 2026 15:08:35 +0200 Subject: [PATCH 003/131] feat: record on forecasting jobs how they were created Data generators can now be told how their queued jobs got triggered (via the CLI, the API or an automation), and the train-predict pipeline stores this on the jobs as meta data. The asset's status page shows it in a new 'Created Via' column of the jobs table. Part of FlexMeasures/flexmeasures#2288 Co-Authored-By: Claude Fable 5 Claude-Session: https://claude.ai/code/session_01Rbix8k1JfeUWNXEmHEZVpX --- flexmeasures/api/v3_0/sensors.py | 2 ++ flexmeasures/data/models/data_sources.py | 10 ++++++++++ .../models/forecasting/pipelines/train_predict.py | 2 ++ flexmeasures/data/services/sensors.py | 13 +++++++++++++ flexmeasures/ui/templates/sensors/status.html | 2 ++ 5 files changed, 29 insertions(+) diff --git a/flexmeasures/api/v3_0/sensors.py b/flexmeasures/api/v3_0/sensors.py index e28a7f0c4a..6623a9d11f 100644 --- a/flexmeasures/api/v3_0/sensors.py +++ b/flexmeasures/api/v3_0/sensors.py @@ -1943,6 +1943,8 @@ def trigger_forecast(self, id: int, **params): except ValidationError as err: return unprocessable_entity(err.messages) + forecaster.set_job_trigger("API") + # Queue forecasting job try: pipeline_returns = forecaster.compute(parameters=parameters, as_job=True) diff --git a/flexmeasures/data/models/data_sources.py b/flexmeasures/data/models/data_sources.py index 01a079605e..2aa56cacec 100644 --- a/flexmeasures/data/models/data_sources.py +++ b/flexmeasures/data/models/data_sources.py @@ -31,6 +31,7 @@ class DataGenerator: _config: dict = None _parameters: dict = None + _job_trigger: dict | None = None _parameters_schema: Schema | None = None _config_schema: Schema | None = None @@ -98,6 +99,15 @@ def __init__( elif len(kwargs) == 0: self._config = self._config_schema.load({}) + def set_job_trigger(self, origin: str, automation_id: int | None = None): + """Record how any queued jobs got created (e.g. via the CLI, the API or an automation). + + This information is stored on the jobs themselves (as job meta data). + """ + self._job_trigger = {"origin": origin} + if automation_id is not None: + self._job_trigger["automation_id"] = automation_id + def _compute(self, **kwargs) -> list[dict[str, Any]]: """Overwrite with the actual computation of your data generator. diff --git a/flexmeasures/data/models/forecasting/pipelines/train_predict.py b/flexmeasures/data/models/forecasting/pipelines/train_predict.py index b86d221f21..d805f702c7 100644 --- a/flexmeasures/data/models/forecasting/pipelines/train_predict.py +++ b/flexmeasures/data/models/forecasting/pipelines/train_predict.py @@ -414,6 +414,8 @@ def run( "end": self._parameters["end_date"].isoformat(), "sensor_id": sensor_to_save_id, } + if self._job_trigger: + job_metadata["trigger"] = self._job_trigger for cycle_params in cycles_job_params: job_kwargs = { "config": job_config, diff --git a/flexmeasures/data/services/sensors.py b/flexmeasures/data/services/sensors.py index 82cb7f46e5..d3b2d58e3e 100644 --- a/flexmeasures/data/services/sensors.py +++ b/flexmeasures/data/services/sensors.py @@ -22,6 +22,7 @@ from flexmeasures.data import db from flexmeasures import Sensor, Account, Asset from flexmeasures.data.models.audit_log import AssetAuditLog +from flexmeasures.data.models.automations import Automation from flexmeasures.data.models.data_sources import DataSource, DEFAULT_DATASOURCE_TYPES from flexmeasures.data.models.generic_assets import GenericAsset from flexmeasures.data.schemas.generic_assets import SensorsToShowSchema @@ -787,6 +788,17 @@ def build_asset_jobs_data( else None ) + # Show how the job was created (e.g. via the CLI, the API or an automation) + trigger = job.meta.get("trigger", {}) + created_via = trigger.get("origin", "") + if trigger.get("automation_id") is not None: + automation = db.session.get(Automation, trigger["automation_id"]) + created_via = ( + f"automation '{automation.name}' ({automation.id})" + if automation is not None + else f"automation {trigger['automation_id']} (deleted)" + ) + metadata = json.dumps({**job.meta, "job_id": job.id}, default=str, indent=4) jobs_data.append( { @@ -798,6 +810,7 @@ def build_asset_jobs_data( "status": job.get_status(), "err": job_err, "enqueued_at": job.enqueued_at, + "created_via": created_via, "metadata_hash": hashlib.sha256(metadata.encode()).hexdigest(), } ) diff --git a/flexmeasures/ui/templates/sensors/status.html b/flexmeasures/ui/templates/sensors/status.html index 496f9f1f9b..2b6a3d90c0 100644 --- a/flexmeasures/ui/templates/sensors/status.html +++ b/flexmeasures/ui/templates/sensors/status.html @@ -99,6 +99,7 @@

`, queue: job.queue, entity: job.entity, + created_via: job.created_via || "", status: `${jobStatusIcon}`, info: `Info
@@ -55,11 +56,22 @@
New automation for {{ asset.name }}
In the platform timezone, e.g. "0 6 * * *" for daily at 6:00.
+
+ + +
+ Forecaster class (defaults to TrainPredictPipeline) or reporter class (required for type reports, e.g. PandasReporter). Not used for schedules. +
+
+
+ + +
- Forecast parameters (for type forecasts) or a schedule trigger message (for type schedules). + Forecast parameters (for type forecasts), a schedule trigger message (for type schedules), or report parameters (for type reports).
@@ -85,7 +97,7 @@
New automation for {{ asset.name }}
@@ -99,6 +111,11 @@
New automation for {{ asset.name }}
+
+
+
+
+
@@ -225,7 +242,7 @@

Recently created jobs
url: `/api/v3_0/assets/${assetId}/automations`, method: "GET", success: function (res) { - for (const automationType of ["forecasts", "schedules"]) { + for (const automationType of ["forecasts", "schedules", "reports"]) { makeAutomationsTable( automationType, res.automations.filter(automation => automation.type === automationType), @@ -234,7 +251,7 @@
Recently created jobs
}, error: function (xhr) { console.error("Error fetching automations:", xhr); - for (const automationType of ["forecasts", "schedules"]) { + for (const automationType of ["forecasts", "schedules", "reports"]) { makeAutomationsTable(automationType, []); } }, @@ -280,6 +297,16 @@
Recently created jobs
return; } } + let config = {}; + const configText = $("#automationConfig").val().trim(); + if (configText) { + try { + config = JSON.parse(configText); + } catch (e) { + $("#newAutomationErr").removeClass("d-none").text("The data generator config is not valid JSON."); + return; + } + } $.ajax({ url: `/api/v3_0/assets/${assetId}/automations`, method: "POST", @@ -289,6 +316,8 @@
Recently created jobs
type: $("#automationType").val(), cronstr: $("#automationCron").val(), active: $("#automationActive").is(":checked"), + generator: $("#automationGenerator").val().trim() || null, + config: config, parameters: parameters, }), success: () => location.reload(), From 5eac46854a204ecbfc19d5a73e35ca486f86cbf4 Mon Sep 17 00:00:00 2001 From: "F.N. Claessen" Date: Sat, 11 Jul 2026 20:39:08 +0200 Subject: [PATCH 019/131] docs: changelog entry for reports as jobs and automations Co-Authored-By: Claude Fable 5 Claude-Session: https://claude.ai/code/session_01Rbix8k1JfeUWNXEmHEZVpX --- documentation/changelog.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/documentation/changelog.rst b/documentation/changelog.rst index d9810f6054..cfa087d796 100644 --- a/documentation/changelog.rst +++ b/documentation/changelog.rst @@ -15,6 +15,7 @@ New features * Automations - first roundtrip for forecasts: recurring tasks defined per asset, managed with new CLI commands (``flexmeasures add|edit|delete automation``), run by ``flexmeasures jobs run-automations``, and viewable in a new UI page and API endpoints (``[GET] /assets/(id)/automations``); jobs now also record whether they were created via the CLI, the API or an automation [see `PR #2290 `_] * Automations can also compute schedules on a recurring basis (``flexmeasures add automation --type schedules``), with the schedule start defaulting to each run's time [see `PR #2293 `_] * Automations can be created, edited and deleted in the UI and through new API endpoints (``[POST|PATCH|DELETE] /assets/(id)/automations``), by account admins and consultants [see `PR #2294 `_] +* Reports can run as background jobs (``flexmeasures add report --as-job``, processed by workers of the new ``reporting`` queue) and be computed on a recurring basis by automations, with a rolling report window expressed as Pandas offsets or defaulting to the last cron period [see `PR #2297 `_] * Breaking behaviour change: the top-level flex-context's ``relax-constraints`` field now defaults to ``True`` (matching the default already used within each ``commodities`` entry), so constraint violations are softly penalized by default instead of being hard constraints, unless explicitly set to ``False`` [see `PR #2172 `_] * In the UI, asset and sensor lists can be filtered by ID prefix through API-backed search fields [see `PR #2231 `_] * Support configurable lower and upper bounds and snapping for forecast post-processing [see `PR #2273 `_] From 791fcf43e225285f7c6b59d72ec8ec422eab5587 Mon Sep 17 00:00:00 2001 From: "F.N. Claessen" Date: Sat, 11 Jul 2026 21:31:07 +0200 Subject: [PATCH 020/131] feat: anchor default report windows to the automation's actual last run Each automation run is recorded in Redis; a report automation without timing fields then reports on the period since its actual last run, falling back to the last cron period when no last run is known (e.g. on the first run, or after a Redis flush). This gives gapless coverage even when runs are missed. Part of FlexMeasures/flexmeasures#2288 Co-Authored-By: Claude Fable 5 Claude-Session: https://claude.ai/code/session_01Rbix8k1JfeUWNXEmHEZVpX --- documentation/features/reporting.rst | 3 +- flexmeasures/cli/tests/test_automations.py | 21 +++++++ flexmeasures/data/services/automations.py | 70 ++++++++++++++++++---- 3 files changed, 81 insertions(+), 13 deletions(-) diff --git a/documentation/features/reporting.rst b/documentation/features/reporting.rst index 2248a795c8..c1fe7e6d78 100644 --- a/documentation/features/reporting.rst +++ b/documentation/features/reporting.rst @@ -137,7 +137,8 @@ while the report parameters are stored on the automation itself and their timing - Use ``start-offset`` and/or ``end-offset`` fields (comma-separated Pandas offsets, like the CLI options above) for a rolling window relative to the run time, in the timezone of the first output sensor. For instance, ``"start-offset": "-1D,DB"`` with ``"end-offset": "DB"`` reports on the whole previous day. -- Omit timing fields entirely to report on the last cron period: from the previous cron fire time until the run time. +- Omit timing fields entirely to report on the period since the automation's actual last run + (falling back to the last cron period — from the previous cron fire time until the run time — when no last run is known, e.g. on the first run). - Absolute ``start``/``end`` fields are also accepted, but draw a warning, as each run would then compute the same period. For example, this automation computes a report over each past day, every morning at 1 AM: diff --git a/flexmeasures/cli/tests/test_automations.py b/flexmeasures/cli/tests/test_automations.py index 37395f044e..83f7988890 100644 --- a/flexmeasures/cli/tests/test_automations.py +++ b/flexmeasures/cli/tests/test_automations.py @@ -213,6 +213,24 @@ def test_prepare_report_parameters(app): assert pd.Timestamp(message["start"]) == now - pd.Timedelta(hours=1) assert pd.Timestamp(message["end"]) == now + # with a known actual last run, the window starts there instead + app.redis_connection.set("automation-last-run:1234", "2026-07-11T09:30:00+02:00") + try: + message = prepare_report_parameters( + {}, "0 * * * *", now=now, automation_id=1234 + ) + assert pd.Timestamp(message["start"]) == pd.Timestamp( + "2026-07-11T09:30:00+02:00" + ) + assert pd.Timestamp(message["end"]) == now + # an unknown automation id still falls back to the last cron period + message = prepare_report_parameters( + {}, "0 * * * *", now=now, automation_id=5678 + ) + assert pd.Timestamp(message["start"]) == now - pd.Timedelta(hours=1) + finally: + app.redis_connection.delete("automation-last-run:1234") + # offsets applied to the run time; "DB" floors to the day begin message = prepare_report_parameters( {"start-offset": "-1D,DB", "end-offset": "DB"}, "0 1 * * *", now=now @@ -396,6 +414,9 @@ def test_run_automations(app, fresh_db, setup_dummy_data, clean_redis): and job.meta["trigger"]["automation_id"] in automation_ids for job in jobs ) + # the run got recorded (used e.g. to anchor default report windows) + for automation in automations: + assert app.redis_connection.get(f"automation-last-run:{automation.id}") # running again within the same minute does not queue jobs twice n_jobs = len(jobs) result = runner.invoke(run_automations) diff --git a/flexmeasures/data/services/automations.py b/flexmeasures/data/services/automations.py index 1ddd613f88..13eb4d6226 100644 --- a/flexmeasures/data/services/automations.py +++ b/flexmeasures/data/services/automations.py @@ -84,8 +84,44 @@ def prepare_schedule_trigger_message(parameters: dict, asset_id: int) -> dict: return message +def _last_run_redis_key(automation_id: int) -> str: + return f"automation-last-run:{automation_id}" + + +def record_automation_run(automation: Automation, now: datetime | None = None): + """Remember (in Redis) when this automation last ran. + + This is used to anchor default report windows to the actual last run. + """ + from flask import current_app + + if now is None: + now = server_now() + current_app.redis_connection.set( + _last_run_redis_key(automation.id), floor_to_minute(now).isoformat() + ) + + +def get_automation_last_run(automation_id: int) -> datetime | None: + """When this automation last ran, if known (the record lives in Redis).""" + from flask import current_app + + value = current_app.redis_connection.get(_last_run_redis_key(automation_id)) + if not value: + return None + if isinstance(value, bytes): + value = value.decode() + try: + return datetime.fromisoformat(value) + except ValueError: + return None + + def prepare_report_parameters( - parameters: dict, cronstr: str, now: datetime | None = None + parameters: dict, + cronstr: str, + now: datetime | None = None, + automation_id: int | None = None, ) -> dict: """Complete stored report parameters into a message for the ReporterParametersSchema. @@ -94,8 +130,9 @@ def prepare_report_parameters( - "start-offset" and "end-offset" fields hold comma-separated Pandas offsets (e.g. "-1D,DB" for the start of the previous day), applied to the run time (or to the given absolute start/end), in the timezone of the first output sensor. - - Without offsets or absolutes, the window defaults to the last cron period: - from the previous cron fire time until the run time. + - Without offsets or absolutes, the window runs since the automation's actual + last run, falling back to the last cron period (from the previous cron fire + time until the run time) when no last run is known (e.g. on the first run). """ message = dict(parameters) if now is None: @@ -136,9 +173,15 @@ def prepare_report_parameters( end if end is not None else pd.Timestamp(now), end_offset ) - # Default to the last cron period: from the previous cron fire time until the run time + # Default to the window since the actual last run, falling back to the last + # cron period (from the previous cron fire time until the run time) if start is None: - start = croniter(cronstr, now).get_prev(datetime) + last_run = ( + get_automation_last_run(automation_id) + if automation_id is not None + else None + ) + start = last_run or croniter(cronstr, now).get_prev(datetime) if end is None: end = now @@ -378,14 +421,17 @@ def run_automation(automation: Automation) -> dict[str, Any] | None: :returns: a dict like {"job_id": , "n_jobs": }. """ if automation.type == "forecasts": - return _run_forecast_automation(automation) + returns = _run_forecast_automation(automation) elif automation.type == "schedules": - return _run_schedule_automation(automation) + returns = _run_schedule_automation(automation) elif automation.type == "reports": - return _run_report_automation(automation) - raise NotImplementedError( - f"Automations of type '{automation.type}' cannot be run yet." - ) + returns = _run_report_automation(automation) + else: + raise NotImplementedError( + f"Automations of type '{automation.type}' cannot be run yet." + ) + record_automation_run(automation) + return returns def _run_forecast_automation(automation: Automation) -> dict[str, Any] | None: @@ -420,7 +466,7 @@ def _run_report_automation(automation: Automation) -> dict[str, Any] | None: reporter._parameters = None reporter.set_job_trigger("automation", automation_id=automation.id) parameters = prepare_report_parameters( - dict(automation.parameters), automation.cronstr + dict(automation.parameters), automation.cronstr, automation_id=automation.id ) return reporter.compute(as_job=True, parameters=parameters) From 0dca8fcd5b4d0c9890aac9ce23c70a67ca257e12 Mon Sep 17 00:00:00 2001 From: "F.N. Claessen" Date: Sat, 11 Jul 2026 21:33:17 +0200 Subject: [PATCH 021/131] docs: add an Automations concept page Consolidates the shared automations concept (model, lifecycle, runner deployment, provenance) into documentation/features/automations.rst, with the per-feature pages linking to it and keeping only their type-specific parameter semantics. Part of FlexMeasures/flexmeasures#2288 Co-Authored-By: Claude Fable 5 Claude-Session: https://claude.ai/code/session_01Rbix8k1JfeUWNXEmHEZVpX --- documentation/features/automations.rst | 56 ++++++++++++++++++++++++++ documentation/features/forecasting.rst | 2 +- documentation/features/reporting.rst | 2 +- documentation/features/scheduling.rst | 2 +- documentation/index.rst | 1 + 5 files changed, 60 insertions(+), 3 deletions(-) create mode 100644 documentation/features/automations.rst diff --git a/documentation/features/automations.rst b/documentation/features/automations.rst new file mode 100644 index 0000000000..ad113c8bbb --- /dev/null +++ b/documentation/features/automations.rst @@ -0,0 +1,56 @@ +.. _automations: + +Automations +============ + +Hosts and users often want the three main FlexMeasures features — :ref:`forecasting`, :ref:`scheduling` and :ref:`reporting` — to run on a recurring basis, across larger numbers of sites. +*Automations* make that a first-class concept: an automation is a recurring task defined on an asset, and each time it runs, it queues jobs. + +An automation consists of: + +- a **type**: ``forecasts``, ``schedules`` or ``reports``; +- a **recurrence**: a cron string (e.g. ``"0 6 * * *"`` for daily at 6 AM), interpreted in the ``FLEXMEASURES_TIMEZONE``; +- a **data generator** (for forecasts and reports): the forecaster or reporter class and its configuration, stored on a data source. + The data source stays the same across runs, so all results the automation produces attribute to one steady source; +- **parameters**: what to compute on each run, validated by the same schema the CLI and API use for one-off runs. + Timing parameters are resolved freshly on each run, so a recurring automation always computes fresh periods + (see the type-specific sections below for the exact rules); +- an **activation status**: only active automations run. + +Managing automations +-------------------- + +Automations can be managed in three ways: + +- **CLI**: ``flexmeasures add automation``, ``flexmeasures edit automation`` (name, cron string, activation status) and ``flexmeasures delete automation``. +- **API**: list and inspect with ``[GET] /assets/(id)/automations`` and ``[GET] /assets/(id)/automations/(automation_id)``; + create, update and delete with ``[POST|PATCH|DELETE]`` on the same paths (see the `API documentation <../api/v3_0.html>`_). +- **UI**: each asset has an *Automations* page (in the breadcrumbs dropdown), with a tab per automation type. + It lists each automation's recurrence and recent job counts, and lets you create, (de)activate and delete automations. + +Creating, updating and deleting automations requires account admin or consultant rights, and is recorded in the asset's audit log. + +Running automations +-------------------- + +An automation is due whenever its cron string matches the current minute. To actually run due automations, let a cron job execute the following command once per minute: + +.. code-block:: bash + + * * * * * flexmeasures jobs run-automations + +Each due automation then queues its jobs — so make sure workers are processing the relevant queues (``forecasting``, ``scheduling`` and/or ``reporting``, see :ref:`redis-queue`). +A Redis-based guard prevents queueing jobs twice if the command happens to run more than once within the same minute. + +Jobs record how they were created (via the CLI, the API or an automation), which is shown in the *Created Via* column +of the jobs table on the asset's status page, where recent jobs are listed. + +Automating each feature +----------------------- + +The parameters stored on an automation follow the same schemas as one-off CLI/API calls, with type-specific rules for resolving timing on each run: + +- :ref:`automating_forecasts` — forecast parameters; the forecast start defaults to the run time. +- :ref:`automating_schedules` — a schedule trigger message; omit ``start`` to schedule from the run time. +- :ref:`automating_reports` — report parameters; use ``start-offset``/``end-offset`` (Pandas offsets) for a rolling window, + or omit timing fields to report on the period since the automation's actual last run. diff --git a/documentation/features/forecasting.rst b/documentation/features/forecasting.rst index 6c24982b37..c1111b645f 100644 --- a/documentation/features/forecasting.rst +++ b/documentation/features/forecasting.rst @@ -178,7 +178,7 @@ In `this weather forecast plugin `_ API endpoint (without the asset id). Omit the ``start`` field to schedule from the run time on each run (floored to the ``resolution`` field, if given). As usual, the flex-context and flex-model can also (partly) live on the asset itself, in which case a minimal trigger message suffices. diff --git a/documentation/index.rst b/documentation/index.rst index b2c91d487e..37c0bb0a0c 100644 --- a/documentation/index.rst +++ b/documentation/index.rst @@ -175,6 +175,7 @@ In :ref:`getting_started`, we have some helpful tips how to dive into this docum features/scheduling features/forecasting features/reporting + features/automations .. toctree:: :caption: Tutorials From 93ee584ebc1424a7708508f782eda33f57964b16 Mon Sep 17 00:00:00 2001 From: "F.N. Claessen" Date: Sat, 11 Jul 2026 21:37:45 +0200 Subject: [PATCH 022/131] feat: API endpoint to trigger reports as jobs Add POST /api/v3_0/assets//reports/trigger, which queues a one-off reporting job on the reporting queue, mirroring how forecasts and schedules are triggered via the API. The job status can be polled via the generic GET /api/v3_0/jobs/ endpoint. Co-Authored-By: Claude Fable 5 Claude-Session: https://claude.ai/code/session_01Rbix8k1JfeUWNXEmHEZVpX --- documentation/api/change_log.rst | 1 + documentation/changelog.rst | 1 + documentation/features/reporting.rst | 25 +++ flexmeasures/api/v3_0/__init__.py | 2 + flexmeasures/api/v3_0/assets.py | 155 ++++++++++++++++ .../api/v3_0/tests/test_report_trigger_api.py | 171 ++++++++++++++++++ .../data/schemas/reporting/__init__.py | 31 ++++ flexmeasures/ui/static/openapi-specs.json | 143 +++++++++++++++ 8 files changed, 529 insertions(+) create mode 100644 flexmeasures/api/v3_0/tests/test_report_trigger_api.py diff --git a/documentation/api/change_log.rst b/documentation/api/change_log.rst index c75a260f70..4a68e79e37 100644 --- a/documentation/api/change_log.rst +++ b/documentation/api/change_log.rst @@ -8,6 +8,7 @@ API change log v3.0-32 | July XX, 2026 """""""""""""""""""""""" +- Added ``POST /api/v3_0/assets//reports/trigger`` to queue a one-off reporting job (to be picked up by a worker processing the ``reporting`` queue), mirroring how forecasts and schedules are triggered. The job status can be polled via ``GET /api/v3_0/jobs/``. - Extended ``GET /api/v3_0/jobs/`` with a ``result`` field containing ``unresolved`` and ``resolved`` arrays, each keyed by asset ID. For scheduling jobs, this surfaces soft state-of-charge constraint analysis: ``soc-minima`` and ``soc-maxima`` violations (with a ``violation`` magnitude) or satisfied constraints (with a ``margin`` headroom). Both arrays are empty when no SoC constraints were defined. v3.0-31 | 2026-06-01 diff --git a/documentation/changelog.rst b/documentation/changelog.rst index cfa087d796..b487b144a8 100644 --- a/documentation/changelog.rst +++ b/documentation/changelog.rst @@ -16,6 +16,7 @@ New features * Automations can also compute schedules on a recurring basis (``flexmeasures add automation --type schedules``), with the schedule start defaulting to each run's time [see `PR #2293 `_] * Automations can be created, edited and deleted in the UI and through new API endpoints (``[POST|PATCH|DELETE] /assets/(id)/automations``), by account admins and consultants [see `PR #2294 `_] * Reports can run as background jobs (``flexmeasures add report --as-job``, processed by workers of the new ``reporting`` queue) and be computed on a recurring basis by automations, with a rolling report window expressed as Pandas offsets or defaulting to the last cron period [see `PR #2297 `_] +* One-off reporting jobs can be triggered via the API (``POST /assets/(id)/reports/trigger``), mirroring how forecasts and schedules are triggered [see `PR #2298 `_] * Breaking behaviour change: the top-level flex-context's ``relax-constraints`` field now defaults to ``True`` (matching the default already used within each ``commodities`` entry), so constraint violations are softly penalized by default instead of being hard constraints, unless explicitly set to ``False`` [see `PR #2172 `_] * In the UI, asset and sensor lists can be filtered by ID prefix through API-backed search fields [see `PR #2231 `_] * Support configurable lower and upper bounds and snapping for forecast post-processing [see `PR #2273 `_] diff --git a/documentation/features/reporting.rst b/documentation/features/reporting.rst index 2248a795c8..736dc02acf 100644 --- a/documentation/features/reporting.rst +++ b/documentation/features/reporting.rst @@ -132,6 +132,31 @@ Automating reports Reports can be queued as background jobs (add ``--as-job`` to ``flexmeasures add report``, and let a worker process the ``reporting`` queue, see :ref:`redis-queue`), and computed on a recurring basis by an *automation* defined on the asset (see :ref:`automating_forecasts` for the full introduction, including how to run automations). +One-off reporting jobs can also be triggered via the API, mirroring how forecasts and schedules are triggered. +``POST /api/v3_0/assets//reports/trigger`` takes the reporter class, its configuration and the report parameters (which must reference at least one output sensor, assumed to belong to the asset or one of its (grand)children): + +.. code-block:: json + + { + "reporter": "PandasReporter", + "config": { + "required_input": [{"name": "sensor_1"}, {"name": "sensor_2"}], + "required_output": [{"name": "df_agg"}], + "transformations": [ + {"df_input": "sensor_1", "method": "add", "args": ["@sensor_2"], "df_output": "df_agg"}, + {"method": "resample_events", "args": ["2h"]} + ] + }, + "parameters": { + "input": [{"name": "sensor_1", "sensor": 1}, {"name": "sensor_2", "sensor": 2}], + "output": [{"name": "df_agg", "sensor": 3}], + "start": "2023-04-10T00:00:00+00:00", + "end": "2023-04-10T10:00:00+00:00" + } + } + +The response contains the id of the queued reporting job, whose status can be polled via the generic job status endpoint (``GET /api/v3_0/jobs/``). + The reporter and its configuration are stored on a data source (steady across runs, so all report results attribute to the same source), while the report parameters are stored on the automation itself and their timing is resolved freshly on each run: diff --git a/flexmeasures/api/v3_0/__init__.py b/flexmeasures/api/v3_0/__init__.py index 35fda32151..aed6c8e71b 100644 --- a/flexmeasures/api/v3_0/__init__.py +++ b/flexmeasures/api/v3_0/__init__.py @@ -44,6 +44,7 @@ AutomationUpdateSchema, ) from flexmeasures.data.schemas.generic_assets import GenericAssetSchema as AssetSchema +from flexmeasures.data.schemas.reporting import ReportTriggerSchema from flexmeasures.data.schemas.sensors import QuantitySchema, TimeSeriesSchema from flexmeasures.data.schemas.account import AccountSchema from flexmeasures.api.v3_0.accounts import AccountAPIQuerySchema @@ -163,6 +164,7 @@ def create_openapi_specs(app: Flask): ("AnnotationSchema", AnnotationSchema), ("AutomationCreationSchema", AutomationCreationSchema), ("AutomationUpdateSchema", AutomationUpdateSchema), + ("ReportTriggerSchema", ReportTriggerSchema), ("CopyAssetSchema", CopyAssetSchema), ("DefaultAssetViewJSONSchema", DefaultAssetViewJSONSchema), ("AccountSchema", AccountSchema(partial=True)), diff --git a/flexmeasures/api/v3_0/assets.py b/flexmeasures/api/v3_0/assets.py index 8267248ab7..ffe1e402f5 100644 --- a/flexmeasures/api/v3_0/assets.py +++ b/flexmeasures/api/v3_0/assets.py @@ -56,6 +56,12 @@ update_automation, ) from flexmeasures.data.models.generic_assets import GenericAsset, GenericAssetType +from flexmeasures.data.models.reporting import Reporter +from flexmeasures.data.schemas.reporting import ( + ReporterParametersSchema, + ReportTriggerSchema, +) +from flexmeasures.data.services.data_sources import get_data_generator from flexmeasures.data.queries.generic_assets import ( filter_assets_under_root, query_assets_by_search_terms, @@ -1959,6 +1965,155 @@ def trigger_schedule( d, s = request_processed() return dict(**response, **d), s + @route("//reports/trigger", methods=["POST"]) + @use_kwargs( + {"asset": AssetIdField(data_key="id")}, + location="path", + ) + # Simplification of checking for create-children access on each of the output sensors, + # which assumes each of the output sensors belongs to the given asset. + @permission_required_for_context("create-children", ctx_arg_name="asset") + @as_json + def trigger_report(self, id: int, asset: GenericAsset): + """ + .. :quickref: Assets; Trigger a one-off reporting job for this asset. + + --- + post: + summary: Trigger a one-off reporting job for this asset. + description: | + Trigger FlexMeasures to compute a report as a background job + (to be picked up by a worker processing the `reporting` queue), + mirroring how forecasts and schedules are triggered. + + In this request, you can describe: + + - the reporter class to use (see the CLI command `flexmeasures show reporters` for the available reporters) + - the reporter's configuration (static parameters, stored on the reporter's data source, e.g. the transformations of a `PandasReporter`) + - the report parameters (dynamic parameters, such as which `input` data to use, which `output` sensors to save the report to, and the `start` and `end` of the reporting window) + + The asset in the URL path scopes permissions: triggering reports requires + `create-children` access to the asset. The report parameters must reference + at least one output sensor, which is assumed to belong to the given asset + (either directly or indirectly, by being assigned to one of the asset's (grand)children). + + The response contains the id of the queued reporting job, + whose status can be polled via [GET /api/v3_0/jobs/(uuid)](#/Jobs/get_api_v3_0_jobs__uuid_). + Once the job finishes, the report is saved to the database + and can be retrieved from the output sensor(s). + security: + - ApiKeyAuth: [] + parameters: + - in: path + name: id + required: true + $ref: '#/components/parameters/AssetIdPath' + requestBody: + content: + application/json: + schema: ReportTriggerSchema + examples: + aggregation_report: + summary: Sum two sensors into a report sensor + description: | + This message triggers a `PandasReporter` report that adds up the data + of sensors 1 and 2 and saves the result to sensor 3. + value: + reporter: PandasReporter + config: + required_input: + - name: sensor_1 + - name: sensor_2 + required_output: + - name: df_agg + transformations: + - df_input: sensor_1 + method: add + args: ["@sensor_2"] + df_output: df_agg + parameters: + input: + - name: sensor_1 + sensor: 1 + - name: sensor_2 + sensor: 2 + output: + - name: df_agg + sensor: 3 + start: "2023-04-10T00:00:00+00:00" + end: "2023-04-10T10:00:00+00:00" + responses: + 200: + description: PROCESSED + content: + application/json: + schema: + type: object + examples: + successful_response: + description: | + This message indicates that the reporting request has been processed without any error. + A reporting job has been created with some Universally Unique Identifier (UUID), + which will be picked up by a worker. + The given UUID may be used to poll the job status: see [GET /api/v3_0/jobs/(uuid)](#/Jobs/get_api_v3_0_jobs__uuid_). + value: + status: PROCESSED + report: "364bfd06-c1fa-430b-8d25-8f5a547651fb" + message: "Request has been processed." + 400: + description: INVALID_REQUEST, REQUIRED_INFO_MISSING, UNEXPECTED_PARAMS + 401: + description: UNAUTHORIZED + 403: + description: INVALID_SENDER + 422: + description: UNPROCESSABLE_ENTITY + tags: + - Assets + """ + body = request.get_json(silent=True) + if not body: + return unprocessable_entity("No JSON data provided.") + try: + report_data = ReportTriggerSchema().load(body) + except ValidationError as e: + return unprocessable_entity(e.messages) + parameters = report_data["parameters"] + try: + ReporterParametersSchema().load(parameters) + except ValidationError as e: + return unprocessable_entity({"parameters": e.messages}) + if not parameters.get("output"): + return unprocessable_entity( + {"parameters": {"output": ["At least one output sensor is required."]}} + ) + try: + reporter = get_data_generator( + source=None, + model=report_data["reporter"], + config=report_data["config"], + save_config=True, + data_generator_type=Reporter, + ) + except ValidationError as e: + return unprocessable_entity({"config": e.messages}) + if reporter is None: + return unprocessable_entity( + f"Reporter class `{report_data['reporter']}` not available." + " Use the CLI command `flexmeasures show reporters` to list all the available reporters." + ) + reporter.set_job_trigger("API") + try: + returns = reporter.compute(as_job=True, parameters=parameters) + except ValidationError as e: + return unprocessable_entity({"parameters": e.messages}) + except ValueError as e: + return unprocessable_entity(str(e)) + + response = dict(report=returns["job_id"]) + d, s = request_processed() + return dict(**response, **d), s + @route("//kpis", methods=["GET"]) @use_kwargs( { diff --git a/flexmeasures/api/v3_0/tests/test_report_trigger_api.py b/flexmeasures/api/v3_0/tests/test_report_trigger_api.py new file mode 100644 index 0000000000..c6a53be1c5 --- /dev/null +++ b/flexmeasures/api/v3_0/tests/test_report_trigger_api.py @@ -0,0 +1,171 @@ +"""Tests for the report trigger endpoint (POST /api/v3_0/assets//reports/trigger).""" + +from __future__ import annotations + +from datetime import timedelta + +import pytest +from flask import url_for + +from flexmeasures.data.models.time_series import Sensor + + +@pytest.fixture(scope="module") +def setup_report_sensors(db, add_battery_assets): + """Add two (hourly) input sensors and a (two-hourly) report sensor to the battery asset.""" + battery = add_battery_assets["Test battery"] + sensor_1 = Sensor( + "input sensor 1", generic_asset=battery, event_resolution=timedelta(hours=1) + ) + sensor_2 = Sensor( + "input sensor 2", generic_asset=battery, event_resolution=timedelta(hours=1) + ) + report_sensor = Sensor( + "report sensor", generic_asset=battery, event_resolution=timedelta(hours=2) + ) + db.session.add_all([sensor_1, sensor_2, report_sensor]) + db.session.flush() + return sensor_1, sensor_2, report_sensor + + +def make_report_trigger_message( + sensor_1: Sensor, sensor_2: Sensor, report_sensor: Sensor +) -> dict: + """A PandasReporter message that adds up two sensors at a two-hour resolution.""" + return { + "reporter": "PandasReporter", + "config": { + "required_input": [{"name": "sensor_1"}, {"name": "sensor_2"}], + "required_output": [{"name": "df_agg"}], + "transformations": [ + { + "df_input": "sensor_1", + "method": "add", + "args": ["@sensor_2"], + "df_output": "df_agg", + }, + {"method": "resample_events", "args": ["2h"]}, + ], + }, + "parameters": { + "input": [ + {"name": "sensor_1", "sensor": sensor_1.id}, + {"name": "sensor_2", "sensor": sensor_2.id}, + ], + "output": [{"name": "df_agg", "sensor": report_sensor.id}], + "start": "2023-04-10T00:00:00+00:00", + "end": "2023-04-10T10:00:00+00:00", + }, + } + + +@pytest.mark.parametrize( + "requesting_user, expected_status_code", + [ + (None, 401), # not logged in + ("test_prosumer_user@seita.nl", 200), # same account + ("test_dummy_user_3@seita.nl", 403), # different account + ], + indirect=["requesting_user"], +) +def test_trigger_report_auth( + app, + add_battery_assets, + setup_report_sensors, + clean_redis, + requesting_user, + expected_status_code, +): + """Triggering a report requires create-children access to the asset (any account member).""" + battery = add_battery_assets["Test battery"] + message = make_report_trigger_message(*setup_report_sensors) + with app.test_client() as client: + response = client.post( + url_for("AssetAPI:trigger_report", id=battery.id), + json=message, + ) + assert response.status_code == expected_status_code + + +@pytest.mark.parametrize( + "requesting_user", ["test_prosumer_user@seita.nl"], indirect=True +) +def test_trigger_report( + app, + add_battery_assets, + setup_report_sensors, + clean_redis, + requesting_user, +): + """A successful trigger queues a job on the reporting queue, which records how it was triggered.""" + battery = add_battery_assets["Test battery"] + message = make_report_trigger_message(*setup_report_sensors) + with app.test_client() as client: + response = client.post( + url_for("AssetAPI:trigger_report", id=battery.id), + json=message, + ) + assert response.status_code == 200 + assert response.json["status"] == "PROCESSED" + job_id = response.json["report"] + + jobs = app.queues["reporting"].jobs + assert len(jobs) == 1 + job = jobs[0] + assert job.id == job_id + assert job.meta["trigger"] == {"origin": "API"} + assert job.kwargs["parameters"]["output"] == message["parameters"]["output"] + + +@pytest.mark.parametrize( + "requesting_user", ["test_prosumer_user@seita.nl"], indirect=True +) +@pytest.mark.parametrize( + "message_updates, expected_error_field", + [ + # missing required timing fields + ({"parameters": {"start": None, "end": None}}, "start"), + # no output to save the report to + ({"parameters": {"output": None}}, "output"), + # unknown reporter class + ({"reporter": "UnknownReporter"}, "UnknownReporter"), + # invalid config for the reporter class + ({"config": {"invalid_field": 1}}, "invalid_field"), + # missing required fields altogether + ({"reporter": None, "parameters": None}, "reporter"), + ], +) +def test_trigger_report_with_invalid_message( + app, + add_battery_assets, + setup_report_sensors, + clean_redis, + requesting_user, + message_updates, + expected_error_field, +): + """Invalid trigger messages should yield a 422, and no job should be queued.""" + battery = add_battery_assets["Test battery"] + message = make_report_trigger_message(*setup_report_sensors) + + # apply updates to the valid message (None means: remove the field) + for field, update in message_updates.items(): + if update is None: + del message[field] + elif isinstance(update, dict): + for subfield, subupdate in update.items(): + if subupdate is None: + del message[field][subfield] + else: + message[field][subfield] = subupdate + else: + message[field] = update + + with app.test_client() as client: + response = client.post( + url_for("AssetAPI:trigger_report", id=battery.id), + json=message, + ) + assert response.status_code == 422 + assert expected_error_field in str(response.json) + assert len(app.queues["reporting"].jobs) == 0 diff --git a/flexmeasures/data/schemas/reporting/__init__.py b/flexmeasures/data/schemas/reporting/__init__.py index 02e580ae42..cb51eaa7e8 100644 --- a/flexmeasures/data/schemas/reporting/__init__.py +++ b/flexmeasures/data/schemas/reporting/__init__.py @@ -40,6 +40,37 @@ class ReporterParametersSchema(Schema): belief_horizon = DurationField(required=False) +class ReportTriggerSchema(Schema): + """Request schema for triggering a one-off reporting job (the asset comes from the URL path). + + The parameters are validated separately: first against the base ReporterParametersSchema, + and then against the reporter's own parameters schema. + """ + + reporter = fields.Str( + required=True, + metadata={ + "description": "Reporter class registered in flexmeasures.data.models.reporting" + " or in an available FlexMeasures plugin (e.g. PandasReporter)." + " Use the CLI command `flexmeasures show reporters` to list all the available reporters." + }, + ) + config = fields.Dict( + keys=fields.Str(), + load_default=dict, + metadata={ + "description": "Reporter configuration (static parameters, stored on the reporter's data source)." + }, + ) + parameters = fields.Dict( + keys=fields.Str(), + required=True, + metadata={ + "description": "Report parameters (dynamic parameters, such as `input`, `output`, `start` and `end`)." + }, + ) + + class BeliefsSearchConfigSchema(Schema): """ This schema implements the required fields to perform a TimedBeliefs search diff --git a/flexmeasures/ui/static/openapi-specs.json b/flexmeasures/ui/static/openapi-specs.json index 7cf3ac3669..0c6ed152f8 100644 --- a/flexmeasures/ui/static/openapi-specs.json +++ b/flexmeasures/ui/static/openapi-specs.json @@ -4195,6 +4195,125 @@ ] } }, + "/api/v3_0/assets/{id}/reports/trigger": { + "post": { + "summary": "Trigger a one-off reporting job for this asset.", + "description": "Trigger FlexMeasures to compute a report as a background job\n(to be picked up by a worker processing the `reporting` queue),\nmirroring how forecasts and schedules are triggered.\n\nIn this request, you can describe:\n\n- the reporter class to use (see the CLI command `flexmeasures show reporters` for the available reporters)\n- the reporter's configuration (static parameters, stored on the reporter's data source, e.g. the transformations of a `PandasReporter`)\n- the report parameters (dynamic parameters, such as which `input` data to use, which `output` sensors to save the report to, and the `start` and `end` of the reporting window)\n\nThe asset in the URL path scopes permissions: triggering reports requires\n`create-children` access to the asset. The report parameters must reference\nat least one output sensor, which is assumed to belong to the given asset\n(either directly or indirectly, by being assigned to one of the asset's (grand)children).\n\nThe response contains the id of the queued reporting job,\nwhose status can be polled via [GET /api/v3_0/jobs/(uuid)](#/Jobs/get_api_v3_0_jobs__uuid_).\nOnce the job finishes, the report is saved to the database\nand can be retrieved from the output sensor(s).\n", + "security": [ + { + "ApiKeyAuth": [] + } + ], + "parameters": [ + { + "in": "path", + "name": "id", + "required": true, + "$ref": "#/components/parameters/AssetIdPath" + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ReportTriggerSchema" + }, + "examples": { + "aggregation_report": { + "summary": "Sum two sensors into a report sensor", + "description": "This message triggers a `PandasReporter` report that adds up the data\nof sensors 1 and 2 and saves the result to sensor 3.\n", + "value": { + "reporter": "PandasReporter", + "config": { + "required_input": [ + { + "name": "sensor_1" + }, + { + "name": "sensor_2" + } + ], + "required_output": [ + { + "name": "df_agg" + } + ], + "transformations": [ + { + "df_input": "sensor_1", + "method": "add", + "args": [ + "@sensor_2" + ], + "df_output": "df_agg" + } + ] + }, + "parameters": { + "input": [ + { + "name": "sensor_1", + "sensor": 1 + }, + { + "name": "sensor_2", + "sensor": 2 + } + ], + "output": [ + { + "name": "df_agg", + "sensor": 3 + } + ], + "start": "2023-04-10T00:00:00+00:00", + "end": "2023-04-10T10:00:00+00:00" + } + } + } + } + } + } + }, + "responses": { + "200": { + "description": "PROCESSED", + "content": { + "application/json": { + "schema": { + "type": "object" + }, + "examples": { + "successful_response": { + "description": "This message indicates that the reporting request has been processed without any error.\nA reporting job has been created with some Universally Unique Identifier (UUID),\nwhich will be picked up by a worker.\nThe given UUID may be used to poll the job status: see [GET /api/v3_0/jobs/(uuid)](#/Jobs/get_api_v3_0_jobs__uuid_).\n", + "value": { + "status": "PROCESSED", + "report": "364bfd06-c1fa-430b-8d25-8f5a547651fb", + "message": "Request has been processed." + } + } + } + } + } + }, + "400": { + "description": "INVALID_REQUEST, REQUIRED_INFO_MISSING, UNEXPECTED_PARAMS" + }, + "401": { + "description": "UNAUTHORIZED" + }, + "403": { + "description": "INVALID_SENDER" + }, + "422": { + "description": "UNPROCESSABLE_ENTITY" + } + }, + "tags": [ + "Assets" + ] + } + }, "/api/v3_0/assets/{id}/schedules/trigger": { "post": { "summary": "Trigger scheduling job for any number of devices", @@ -5616,6 +5735,30 @@ }, "additionalProperties": false }, + "ReportTriggerSchema": { + "type": "object", + "properties": { + "reporter": { + "type": "string", + "description": "Reporter class registered in flexmeasures.data.models.reporting or in an available FlexMeasures plugin (e.g. PandasReporter). Use the CLI command `flexmeasures show reporters` to list all the available reporters." + }, + "config": { + "type": "object", + "description": "Reporter configuration (static parameters, stored on the reporter's data source).", + "additionalProperties": {} + }, + "parameters": { + "type": "object", + "description": "Report parameters (dynamic parameters, such as `input`, `output`, `start` and `end`).", + "additionalProperties": {} + } + }, + "required": [ + "parameters", + "reporter" + ], + "additionalProperties": false + }, "CopyAssetSchema": { "type": "object", "properties": { From 176d800cc3d17191905bd3c702d08055b67cb06b Mon Sep 17 00:00:00 2001 From: "F.N. Claessen" Date: Sat, 11 Jul 2026 22:20:29 +0200 Subject: [PATCH 023/131] fix: address stack code review findings MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - API automation creation now checks that the caller may read every sensor referenced in the parameters/config and record data on the sensors the automation writes to, closing a cross-account data read/write hole. - `add report --as-job` implies --save-config (the worker rebuilds the reporter from its data source, so jobs without stored config always crashed). - Report automation parameters are validated with the chosen reporter's own parameters schema, not the base schema. - Invalid start-offset/end-offset strings are rejected at creation instead of being silently skipped at run time (which yielded empty report windows). - run_report_job wipes the shared cached reporter's parameter state, like the automation runner already did, so consecutive jobs in one worker process don't pollute each other. - Default report windows now anchor to the end of the last *successfully* covered window, recorded by the reporting job upon success — failed jobs no longer create permanent reporting gaps, and the enqueue-time minute-rollover gap is gone (the recorded anchor is the window end itself). - The cron-period fallback window is computed in the platform timezone, matching how the runner decides when automations fire. - Job stats for schedules automations also scan flex-model device sensors (which may belong to child assets), so failed per-device jobs show up. - The trigger provenance kwarg is excluded from the job cache hash, so identical schedule requests from different origins dedupe again. Part of FlexMeasures/flexmeasures#2288 Co-Authored-By: Claude Fable 5 Claude-Session: https://claude.ai/code/session_01Rbix8k1JfeUWNXEmHEZVpX --- flexmeasures/api/v3_0/assets.py | 91 +++++++ .../api/v3_0/tests/test_automations_api.py | 50 ++++ flexmeasures/cli/data_add.py | 7 + flexmeasures/cli/tests/test_automations.py | 28 ++ flexmeasures/data/services/automations.py | 253 ++++++++++++------ flexmeasures/data/services/reporting.py | 24 +- flexmeasures/data/services/utils.py | 3 + flexmeasures/data/tests/test_automations.py | 5 + 8 files changed, 371 insertions(+), 90 deletions(-) diff --git a/flexmeasures/api/v3_0/assets.py b/flexmeasures/api/v3_0/assets.py index 8267248ab7..d06b8c1784 100644 --- a/flexmeasures/api/v3_0/assets.py +++ b/flexmeasures/api/v3_0/assets.py @@ -105,6 +105,90 @@ sensors_schema = SensorSchema(many=True) +def _forecast_automation_sensor_refs( + parameters: dict, config: dict +) -> tuple[list, list]: + read_refs = [parameters.get("sensor")] + for key in ("regressors", "future-regressors", "past-regressors"): + read_refs.extend(config.get(key) or []) + write_refs = [parameters.get("sensor-to-save") or parameters.get("sensor")] + return read_refs, write_refs + + +def _report_automation_sensor_refs(parameters: dict) -> tuple[list, list]: + read_refs = [ + entry.get("sensor") + for entry in parameters.get("input") or [] + if isinstance(entry, dict) + ] + write_refs = [ + entry.get("sensor") + for entry in parameters.get("output") or [] + if isinstance(entry, dict) + ] + return read_refs, write_refs + + +def _schedule_automation_sensor_refs(parameters: dict) -> tuple[list, list]: + read_refs: list = [] + write_refs: list = [] + for entry in parameters.get("flex-model") or []: + if isinstance(entry, dict): + write_refs.append(entry.get("sensor")) + if isinstance(entry.get("state-of-charge"), dict): + read_refs.append(entry["state-of-charge"].get("sensor")) + flex_context = parameters.get("flex-context") or {} + if isinstance(flex_context, dict): + for value in flex_context.values(): + if isinstance(value, dict): + read_refs.append(value.get("sensor")) + elif isinstance(value, list): + for item in value: + read_refs.append( + item.get("sensor") if isinstance(item, dict) else item + ) + return read_refs, write_refs + + +def _check_automation_sensor_access( + automation_type: str, parameters: dict, config: dict +): + """Check that the current user may read every sensor referenced in an + automation's parameters/config, and record data on the sensors the + automation would write to. + + Sensor references that do not resolve are skipped here; schema validation + of the parameters rejects them later. + + :raises Forbidden: if any check fails (answered with 403). + """ + parameters = parameters or {} + config = config or {} + if automation_type == "forecasts": + read_refs, write_refs = _forecast_automation_sensor_refs(parameters, config) + elif automation_type == "reports": + read_refs, write_refs = _report_automation_sensor_refs(parameters) + elif automation_type == "schedules": + read_refs, write_refs = _schedule_automation_sensor_refs(parameters) + else: + read_refs, write_refs = [], [] + + def resolve(value) -> Sensor | None: + try: + return db.session.get(Sensor, int(value)) + except (TypeError, ValueError): + return None + + for value in read_refs: + sensor = resolve(value) + if sensor is not None: + check_access(sensor, "read") + for value in write_refs: + sensor = resolve(value) + if sensor is not None: + check_access(sensor, "create-children") + + def sensor_term_filter(term: str): filters = [Sensor.name.ilike(f"%{term}%")] if term.isdecimal(): @@ -1371,6 +1455,13 @@ def post_automation(self, id: int, asset: GenericAsset): automation_data = AutomationCreationSchema().load(body) except ValidationError as e: return unprocessable_entity(e.messages) + # Guard against referencing sensors outside the caller's reach + # (raises Forbidden, answered with 403) + _check_automation_sensor_access( + automation_data["type"], + automation_data["parameters"], + automation_data["config"], + ) try: automation, warnings = create_automation( asset=asset, diff --git a/flexmeasures/api/v3_0/tests/test_automations_api.py b/flexmeasures/api/v3_0/tests/test_automations_api.py index f1481c4a64..3c1ea8ce52 100644 --- a/flexmeasures/api/v3_0/tests/test_automations_api.py +++ b/flexmeasures/api/v3_0/tests/test_automations_api.py @@ -4,6 +4,7 @@ import pytest from flask import url_for +from sqlalchemy import select from flexmeasures.data.models.automations import Automation @@ -192,6 +193,55 @@ def test_post_automation( db.session.flush() +@pytest.mark.parametrize( + "requesting_user", ["test_prosumer_user_2@seita.nl"], indirect=True +) +def test_post_automation_with_foreign_sensor( + app, + db, + setup_accounts, + add_battery_assets, + requesting_user, +): + """Referencing a sensor outside the caller's reach is forbidden.""" + from datetime import timedelta + + from flexmeasures.data.models.generic_assets import GenericAsset + from flexmeasures.data.models.time_series import Sensor + + battery = add_battery_assets["Test battery"] + foreign_asset = GenericAsset( + name="Foreign asset", + generic_asset_type=battery.generic_asset_type, + owner=setup_accounts["Dummy"], + ) + foreign_sensor = Sensor( + "foreign power", + generic_asset=foreign_asset, + event_resolution=timedelta(minutes=15), + unit="MW", + ) + db.session.add(foreign_sensor) + db.session.flush() + with app.test_client() as client: + response = client.post( + url_for("AssetAPI:post_automation", id=battery.id), + json={ + "name": "Sneaky forecasts", + "cronstr": "0 6 * * *", + "type": "forecasts", + "parameters": {"sensor": foreign_sensor.id}, + }, + ) + assert response.status_code == 403 + assert ( + db.session.execute( + select(Automation).filter_by(name="Sneaky forecasts") + ).scalar_one_or_none() + is None + ) + + @pytest.mark.parametrize( "requesting_user", ["test_prosumer_user_2@seita.nl"], indirect=True ) diff --git a/flexmeasures/cli/data_add.py b/flexmeasures/cli/data_add.py index 96e7561150..dbd964419d 100755 --- a/flexmeasures/cli/data_add.py +++ b/flexmeasures/cli/data_add.py @@ -1684,6 +1684,13 @@ def add_report( # noqa: C901 **MsgStyle.ERROR, ) raise click.Abort() + if as_job and not save_config: + # the worker rebuilds the reporter from its data source, so the config must be stored there + click.secho( + "Saving the reporter config to its data source (required for --as-job).", + **MsgStyle.WARN, + ) + save_config = True config = dict() diff --git a/flexmeasures/cli/tests/test_automations.py b/flexmeasures/cli/tests/test_automations.py index 83f7988890..005cb8fc5e 100644 --- a/flexmeasures/cli/tests/test_automations.py +++ b/flexmeasures/cli/tests/test_automations.py @@ -327,6 +327,22 @@ def test_add_report_automation(app, fresh_db, setup_dummy_data, tmp_path): assert result.exit_code != 0 assert "reporter is required" in result.output + # invalid time offsets are rejected (they would otherwise be silently skipped at run time) + result = runner.invoke( + add_automation, + _report_automation_cli_input( + tmp_path, + sensor1_id, + sensor2_id, + report_sensor_id, + parameters_extra={ + "start-offset": "P1D,DB" + }, # ISO duration, not a Pandas offset + ), + ) + assert result.exit_code != 0 + assert "Invalid start-offset" in result.output + def test_run_report_automation(app, fresh_db, setup_dummy_data, clean_redis, tmp_path): """A due reports automation queues a reporting job; a worker computes and saves the report.""" @@ -365,6 +381,9 @@ def test_run_report_automation(app, fresh_db, setup_dummy_data, clean_redis, tmp "automation_id": automation.id, } + # the covered-until anchor is only recorded once the job succeeds + assert not app.redis_connection.get(f"automation-last-run:{automation.id}") + # process the job and check the report got saved work_on_rq(app.queues["reporting"]) report_sensor = fresh_db.session.get(Sensor, report_sensor_id) @@ -374,6 +393,15 @@ def test_run_report_automation(app, fresh_db, setup_dummy_data, clean_redis, tmp ) assert (stored_report.values.T == [1, 2 + 3, 4 + 5, 6 + 7, 8 + 9]).all() + # the successful job recorded the end of the report window as covered + import pandas as pd + + covered_until = app.redis_connection.get(f"automation-last-run:{automation.id}") + assert covered_until is not None + assert pd.Timestamp(covered_until.decode()) == pd.Timestamp( + "2023-04-10T10:00:00+00:00" + ) + def test_run_automations(app, fresh_db, setup_dummy_data, clean_redis): """Active automations due this minute queue forecasting jobs (with trigger meta data); inactive ones do not. diff --git a/flexmeasures/data/services/automations.py b/flexmeasures/data/services/automations.py index 13eb4d6226..59b99e60c1 100644 --- a/flexmeasures/data/services/automations.py +++ b/flexmeasures/data/services/automations.py @@ -84,26 +84,48 @@ def prepare_schedule_trigger_message(parameters: dict, asset_id: int) -> dict: return message +def validate_offset_chain(offset_chain: str): + """Raise a ValueError on any offset that apply_offset_chain would silently skip. + + Valid offsets are Pandas offset strings, plus "DB" (day begin) and "HB" (hour begin). + """ + from pandas.tseries.frequencies import to_offset + + for offset in str(offset_chain).split(","): + offset = offset.strip() + if offset.lower() in ("db", "hb"): + continue + try: + to_offset(offset) + except ValueError: + raise ValueError( + f"'{offset}' is not a valid Pandas offset string (nor 'DB'/'HB')." + ) + + def _last_run_redis_key(automation_id: int) -> str: return f"automation-last-run:{automation_id}" -def record_automation_run(automation: Automation, now: datetime | None = None): - """Remember (in Redis) when this automation last ran. +def record_automation_run(automation_id: int, now: datetime | None = None): + """Remember (in Redis) until when this automation's work is covered. - This is used to anchor default report windows to the actual last run. + For forecasts and schedules automations, this is the (enqueue) run time. + For reports automations, the reporting job records the end of the report window + instead, upon success (see run_report_job), so a failed report job does not + create a permanent gap in the reported periods. """ from flask import current_app if now is None: now = server_now() current_app.redis_connection.set( - _last_run_redis_key(automation.id), floor_to_minute(now).isoformat() + _last_run_redis_key(automation_id), floor_to_minute(now).isoformat() ) def get_automation_last_run(automation_id: int) -> datetime | None: - """When this automation last ran, if known (the record lives in Redis).""" + """Until when this automation's work is covered, if known (the record lives in Redis).""" from flask import current_app value = current_app.redis_connection.get(_last_run_redis_key(automation_id)) @@ -130,14 +152,16 @@ def prepare_report_parameters( - "start-offset" and "end-offset" fields hold comma-separated Pandas offsets (e.g. "-1D,DB" for the start of the previous day), applied to the run time (or to the given absolute start/end), in the timezone of the first output sensor. - - Without offsets or absolutes, the window runs since the automation's actual - last run, falling back to the last cron period (from the previous cron fire - time until the run time) when no last run is known (e.g. on the first run). + - Without offsets or absolutes, the window runs since the end of the automation's + last (successfully) covered window, falling back to the last cron period (from + the previous cron fire time until the run time) when none is known (e.g. on the + first run). """ message = dict(parameters) if now is None: now = server_now() - now = floor_to_minute(now) + # Cron strings are interpreted in the platform timezone (like the runner does) + platform_now = floor_to_minute(now) # Compute the run time in the timezone local to the first output sensor # (matching `flexmeasures add report`), falling back to the platform timezone. @@ -156,7 +180,7 @@ def prepare_report_parameters( output_sensor = None if output_sensor is not None: tz = pytz.timezone(output_sensor.timezone) - now = now.astimezone(tz) + now = platform_now.astimezone(tz) start_offset = message.pop("start-offset", None) end_offset = message.pop("end-offset", None) @@ -173,15 +197,17 @@ def prepare_report_parameters( end if end is not None else pd.Timestamp(now), end_offset ) - # Default to the window since the actual last run, falling back to the last - # cron period (from the previous cron fire time until the run time) + # Default to the window since the last covered window's end, falling back to + # the last cron period (from the previous cron fire time until the run time) if start is None: last_run = ( get_automation_last_run(automation_id) if automation_id is not None else None ) - start = last_run or croniter(cronstr, now).get_prev(datetime) + # NB the cron fallback uses the platform timezone, matching how the runner + # decides when the automation fires + start = last_run or croniter(cronstr, platform_now).get_prev(datetime) if end is None: end = now @@ -215,9 +241,18 @@ def get_automation_job_stats(automation: Automation) -> dict[str, int]: parameters = automation.parameters or {} if automation.type == "schedules": # Scheduling jobs are cached under the asset (multi-device wrap-up jobs) - # and under individual sensors (per-device jobs). + # and under individual device sensors (per-device jobs), which may belong + # to child assets rather than the automation's own (site) asset. + sensor_ids = _relevant_sensor_ids( + automation, + [ + entry.get("sensor") + for entry in parameters.get("flex-model", []) or [] + if isinstance(entry, dict) + ], + ) cache_refs = [(automation.asset_id, "scheduling", "asset")] + [ - (sensor.id, "scheduling", "sensor") for sensor in automation.asset.sensors + (sensor_id, "scheduling", "sensor") for sensor_id in sensor_ids ] elif automation.type == "reports": sensor_ids = _relevant_sensor_ids( @@ -249,6 +284,103 @@ def get_automation_job_stats(automation: Automation) -> dict[str, int]: return counts +def _prepare_forecast_automation( + asset, parameters: dict, generator_class: str | None, config: dict | None, source +) -> tuple[int, list[str]]: + """Validate forecast automation parameters and set up the forecaster's data source.""" + from flexmeasures.data.models.time_series import Sensor + from flexmeasures.data.schemas.forecasting.pipeline import ( + ForecasterParametersSchema, + ) + from flexmeasures.data.services.data_sources import get_data_generator + + warnings = [] + deserialized_parameters = ForecasterParametersSchema().load(parameters) + sensor = deserialized_parameters.get("sensor") + if isinstance(sensor, Sensor) and sensor.generic_asset_id != asset.id: + warnings.append( + f"The sensor to forecast ({sensor.id}) does not belong to asset {asset.id}." + ) + forecaster = get_data_generator( + source=source, + model=generator_class or "TrainPredictPipeline", + config=config or {}, + save_config=True, + data_generator_type=Forecaster, + ) + if forecaster is None: + raise ValueError(f"Could not set up forecaster '{generator_class}'.") + generator = ( + forecaster.data_source + ) # looks up or creates the data source storing the forecaster config + db.session.flush() + return generator.id, warnings + + +def _prepare_schedule_automation(asset, parameters: dict) -> tuple[None, list[str]]: + """Validate schedule automation parameters (the scheduler's data source is resolved at job time).""" + from flexmeasures.data.schemas.scheduling import AssetTriggerSchema + + warnings = [] + AssetTriggerSchema().load(prepare_schedule_trigger_message(parameters, asset.id)) + if "start" in parameters: + warnings.append( + "The schedule 'start' is fixed, so each run will compute the same period." + " Omit 'start' to schedule from the run time instead." + ) + return None, warnings + + +def _prepare_report_automation( + parameters: dict, + cronstr: str, + generator_class: str | None, + config: dict | None, + source, +) -> tuple[int, list[str]]: + """Validate report automation parameters and set up the reporter's data source.""" + from marshmallow import ValidationError + + from flexmeasures.data.services.data_sources import get_data_generator + + warnings = [] + if generator_class is None and source is None: + raise ValidationError( + "A reporter is required for report automations (e.g. PandasReporter)." + ) + for offset_field in ("start-offset", "end-offset"): + if offset_field in parameters: + try: + validate_offset_chain(parameters[offset_field]) + except ValueError as e: + raise ValidationError(f"Invalid {offset_field}: {e}") + reporter = get_data_generator( + source=source, + model=generator_class, + config=config or {}, + save_config=True, + data_generator_type=Reporter, + ) + if reporter is None: + raise ValueError(f"Could not set up reporter '{generator_class}'.") + # Validate with the chosen reporter's own parameters schema, + # which may extend the base ReporterParametersSchema. + reporter._parameters_schema.load(prepare_report_parameters(parameters, cronstr)) + if ( + "start" in parameters or "end" in parameters + ) and "start-offset" not in parameters: + warnings.append( + "The report period is (partly) fixed, so each run may compute the same period." + " Use 'start-offset'/'end-offset' (Pandas offsets applied to the run time)," + " or omit timing fields to report on the period since the last run instead." + ) + generator = ( + reporter.data_source + ) # looks up or creates the data source storing the reporter config + db.session.flush() + return generator.id, warnings + + def create_automation( asset, name: str, @@ -273,82 +405,18 @@ def create_automation( from marshmallow import ValidationError from flexmeasures.data.models.audit_log import AssetAuditLog - from flexmeasures.data.models.time_series import Sensor - from flexmeasures.data.services.data_sources import get_data_generator parameters = parameters or {} - warnings: list[str] = [] - generator_id = None if automation_type == "forecasts": - from flexmeasures.data.schemas.forecasting.pipeline import ( - ForecasterParametersSchema, + generator_id, warnings = _prepare_forecast_automation( + asset, parameters, generator_class, config, source ) - - deserialized_parameters = ForecasterParametersSchema().load(parameters) - sensor = deserialized_parameters.get("sensor") - if isinstance(sensor, Sensor) and sensor.generic_asset_id != asset.id: - warnings.append( - f"The sensor to forecast ({sensor.id}) does not belong to asset {asset.id}." - ) - forecaster = get_data_generator( - source=source, - model=generator_class or "TrainPredictPipeline", - config=config or {}, - save_config=True, - data_generator_type=Forecaster, - ) - if forecaster is None: - raise ValueError(f"Could not set up forecaster '{generator_class}'.") - generator = ( - forecaster.data_source - ) # looks up or creates the data source storing the forecaster config - db.session.flush() - generator_id = generator.id elif automation_type == "schedules": - from flexmeasures.data.schemas.scheduling import AssetTriggerSchema - - AssetTriggerSchema().load( - prepare_schedule_trigger_message(parameters, asset.id) - ) - if "start" in parameters: - warnings.append( - "The schedule 'start' is fixed, so each run will compute the same period." - " Omit 'start' to schedule from the run time instead." - ) + generator_id, warnings = _prepare_schedule_automation(asset, parameters) elif automation_type == "reports": - from flexmeasures.data.schemas.reporting import ReporterParametersSchema - - if generator_class is None and source is None: - raise ValidationError( - "A reporter is required for report automations (e.g. PandasReporter)." - ) - try: - prepared_parameters = prepare_report_parameters(parameters, cronstr) - except ValueError as e: - raise ValidationError(f"Invalid time offsets: {e}") - ReporterParametersSchema().load(prepared_parameters) - if ( - "start" in parameters or "end" in parameters - ) and "start-offset" not in parameters: - warnings.append( - "The report period is (partly) fixed, so each run may compute the same period." - " Use 'start-offset'/'end-offset' (Pandas offsets applied to the run time)," - " or omit timing fields to report on the last cron period instead." - ) - reporter = get_data_generator( - source=source, - model=generator_class, - config=config or {}, - save_config=True, - data_generator_type=Reporter, + generator_id, warnings = _prepare_report_automation( + parameters, cronstr, generator_class, config, source ) - if reporter is None: - raise ValueError(f"Could not set up reporter '{generator_class}'.") - generator = ( - reporter.data_source - ) # looks up or creates the data source storing the reporter config - db.session.flush() - generator_id = generator.id else: raise ValidationError( f"Automation type '{automation_type}' is not supported (supported types: {Automation.SUPPORTED_TYPES})." @@ -420,17 +488,21 @@ def run_automation(automation: Automation) -> dict[str, Any] | None: :returns: a dict like {"job_id": , "n_jobs": }. """ + now = server_now() if automation.type == "forecasts": returns = _run_forecast_automation(automation) elif automation.type == "schedules": returns = _run_schedule_automation(automation) elif automation.type == "reports": - returns = _run_report_automation(automation) + # NB the reporting job itself records the end of the report window upon + # success (see run_report_job), so failed jobs do not create gaps in the + # reported periods. + return _run_report_automation(automation, now=now) else: raise NotImplementedError( f"Automations of type '{automation.type}' cannot be run yet." ) - record_automation_run(automation) + record_automation_run(automation.id, now=now) return returns @@ -451,7 +523,9 @@ def _run_forecast_automation(automation: Automation) -> dict[str, Any] | None: return forecaster.compute(as_job=True, parameters=dict(automation.parameters)) -def _run_report_automation(automation: Automation) -> dict[str, Any] | None: +def _run_report_automation( + automation: Automation, now: datetime | None = None +) -> dict[str, Any] | None: if automation.generator is None: raise ValueError( f"Automation {automation.id} has no data generator to run (generator_id is not set)." @@ -466,7 +540,10 @@ def _run_report_automation(automation: Automation) -> dict[str, Any] | None: reporter._parameters = None reporter.set_job_trigger("automation", automation_id=automation.id) parameters = prepare_report_parameters( - dict(automation.parameters), automation.cronstr, automation_id=automation.id + dict(automation.parameters), + automation.cronstr, + now=now, + automation_id=automation.id, ) return reporter.compute(as_job=True, parameters=parameters) diff --git a/flexmeasures/data/services/reporting.py b/flexmeasures/data/services/reporting.py index 3a0fb1996d..b784136ede 100644 --- a/flexmeasures/data/services/reporting.py +++ b/flexmeasures/data/services/reporting.py @@ -48,7 +48,11 @@ def create_reporting_job(reporter: "Reporter", queue: str = "reporting") -> Job: job = Job.create( run_report_job, - kwargs=dict(data_source_id=data_source_id, parameters=parameters), + kwargs=dict( + data_source_id=data_source_id, + parameters=parameters, + automation_id=(reporter._job_trigger or {}).get("automation_id"), + ), connection=current_app.queues[queue].connection, ttl=int( current_app.config.get( @@ -74,11 +78,15 @@ def create_reporting_job(reporter: "Reporter", queue: str = "reporting") -> Job: return job -def run_report_job(data_source_id: int, parameters: dict) -> list[dict]: +def run_report_job( + data_source_id: int, parameters: dict, automation_id: int | None = None +) -> list[dict]: """Compute a report (with the data generator stored on the given data source) and save the results to the database. This function is meant to be run by a worker processing the reporting queue. + If the report was triggered by an automation, the end of the report window is + recorded upon success, so the automation's next default window starts there. """ from flexmeasures.data.models.data_sources import DataSource from flexmeasures.data.models.reporting import Reporter @@ -89,11 +97,23 @@ def run_report_job(data_source_id: int, parameters: dict) -> list[dict]: reporter = source.data_generator if not isinstance(reporter, Reporter): raise ValueError(f"Data source {data_source_id} does not store a Reporter.") + # The data generator instance is cached on the data source, which may be shared + # (e.g. within a long-lived worker process), so wipe any previous parameter state. + reporter._parameters = None results = reporter.compute(parameters=parameters) for result in results: save_to_db(result["data"]) db.session.commit() + if automation_id is not None and parameters.get("end"): + from datetime import datetime + + from flexmeasures.data.services.automations import record_automation_run + + record_automation_run( + automation_id, now=datetime.fromisoformat(parameters["end"]) + ) + # return a light summary (the report data itself is stored in the database) return [ {"sensor_id": result["sensor"].id, "n_rows": len(result["data"])} diff --git a/flexmeasures/data/services/utils.py b/flexmeasures/data/services/utils.py index 62dc2066c9..e6b15ec435 100644 --- a/flexmeasures/data/services/utils.py +++ b/flexmeasures/data/services/utils.py @@ -286,6 +286,9 @@ def wrapper(*args, **kwargs): "force_new_job_creation", False ) + # provenance meta data (how the job got created) must not affect job identity + kwargs_for_hash.pop("trigger", None) + # creating a hash from args and kwargs_for_hash args_hash = f"{queue}:{func.__name__}:{hash_function_arguments(args, kwargs_for_hash)}" diff --git a/flexmeasures/data/tests/test_automations.py b/flexmeasures/data/tests/test_automations.py index 7e1a60a60f..f681fdabaf 100644 --- a/flexmeasures/data/tests/test_automations.py +++ b/flexmeasures/data/tests/test_automations.py @@ -44,3 +44,8 @@ def test_run_schedule_automation( "origin": "automation", "automation_id": automation.id, } + + # trigger provenance must not affect job identity: the same schedule request + # from another origin dedupes onto the same job (via the job cache) + returns_2 = run_automation(automation) + assert returns_2["job_id"] == returns["job_id"] From df77725a5f04e253b903218b52fba621159b0e6c Mon Sep 17 00:00:00 2001 From: "F.N. Claessen" Date: Sat, 11 Jul 2026 22:28:46 +0200 Subject: [PATCH 024/131] fix: check sensor access when triggering reports via the API The report trigger endpoint now applies the same sensor-access guard as automation creation: the caller must be able to read every input sensor and record data on every output sensor. Co-Authored-By: Claude Fable 5 Claude-Session: https://claude.ai/code/session_01Rbix8k1JfeUWNXEmHEZVpX --- flexmeasures/api/v3_0/assets.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/flexmeasures/api/v3_0/assets.py b/flexmeasures/api/v3_0/assets.py index efea09ac28..87f849f8b0 100644 --- a/flexmeasures/api/v3_0/assets.py +++ b/flexmeasures/api/v3_0/assets.py @@ -2178,6 +2178,9 @@ def trigger_report(self, id: int, asset: GenericAsset): return unprocessable_entity( {"parameters": {"output": ["At least one output sensor is required."]}} ) + # Guard against referencing sensors outside the caller's reach + # (raises Forbidden, answered with 403) + _check_automation_sensor_access("reports", parameters, {}) try: reporter = get_data_generator( source=None, From 7493c1306df8983b232eb8f8bd063974d0c9ce72 Mon Sep 17 00:00:00 2001 From: "F.N. Claessen" Date: Sun, 12 Jul 2026 08:20:54 +0200 Subject: [PATCH 025/131] test: assert on the cron validation failure without pinning click's message format PR #2303 makes click report the validation message rather than the offending value, which changes the exact wording of this error. Co-Authored-By: Claude Fable 5 Claude-Session: https://claude.ai/code/session_01Rbix8k1JfeUWNXEmHEZVpX --- flexmeasures/cli/tests/test_automations.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/flexmeasures/cli/tests/test_automations.py b/flexmeasures/cli/tests/test_automations.py index d4e0895876..bca928355c 100644 --- a/flexmeasures/cli/tests/test_automations.py +++ b/flexmeasures/cli/tests/test_automations.py @@ -81,7 +81,9 @@ def test_add_automation_invalid_cron(app, fresh_db, setup_dummy_data): } result = runner.invoke(add_automation, to_flags(cli_input)) assert result.exit_code != 0 - assert "Invalid value for '--cron'" in result.output + # NB click reports the offending value; once it reports the validation message + # instead (see PR #2303), the cron string's own error text shows up here. + assert "Invalid value" in result.output def test_run_automations(app, fresh_db, setup_dummy_data, clean_redis): From 15c9937e0de2a616f8933b1ab3903a1d032766ef Mon Sep 17 00:00:00 2001 From: Mohamed Belhsan Hmida Date: Fri, 31 Jul 2026 02:28:32 +0100 Subject: [PATCH 026/131] data/schemas: restrict automations to five-field cron Reject cron expressions with seconds, year fields, or aliases because the automation runner executes once per minute. Signed-off-by: Mohamed Belhsan Hmida --- flexmeasures/data/schemas/automations.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/flexmeasures/data/schemas/automations.py b/flexmeasures/data/schemas/automations.py index 879dfa80d2..52cf5f07d8 100644 --- a/flexmeasures/data/schemas/automations.py +++ b/flexmeasures/data/schemas/automations.py @@ -17,6 +17,11 @@ class CronField(MarshmallowClickMixin, fields.Str): def _deserialize(self, value, attr, obj, **kwargs) -> str: value = super()._deserialize(value, attr, obj, **kwargs) + if len(value.split()) != 5: + raise FMValidationError( + "Automation cron expressions must contain exactly five fields " + "(minute, hour, day of month, month, and day of week)." + ) if not croniter.is_valid(value): raise FMValidationError(f"'{value}' is not a valid cron string.") return value From 3090cf58a56ffb8f5ab5f52f19c74ccecf4332bc Mon Sep 17 00:00:00 2001 From: Mohamed Belhsan Hmida Date: Fri, 31 Jul 2026 02:29:04 +0100 Subject: [PATCH 027/131] data/schemas/tests: cover automation cron field count Test valid five-field expressions and reject unsupported seconds, year, and alias formats. Signed-off-by: Mohamed Belhsan Hmida --- .../data/schemas/tests/test_automations.py | 21 +++++++++++++++++++ 1 file changed, 21 insertions(+) create mode 100644 flexmeasures/data/schemas/tests/test_automations.py diff --git a/flexmeasures/data/schemas/tests/test_automations.py b/flexmeasures/data/schemas/tests/test_automations.py new file mode 100644 index 0000000000..2e81e8266f --- /dev/null +++ b/flexmeasures/data/schemas/tests/test_automations.py @@ -0,0 +1,21 @@ +import pytest +from marshmallow import ValidationError + +from flexmeasures.data.schemas.automations import CronField + + +def test_cron_field_accepts_five_field_expression(): + assert CronField().deserialize("0 6 * * *") == "0 6 * * *" + + +@pytest.mark.parametrize( + "cronstr", + ( + "*/10 * * * * *", + "0 */10 * * * * 2026", + "@daily", + ), +) +def test_cron_field_rejects_non_five_field_expression(cronstr): + with pytest.raises(ValidationError, match="exactly five fields"): + CronField().deserialize(cronstr) From 8cc392066c64c42959ea015cd02d13861ea34862 Mon Sep 17 00:00:00 2001 From: Mohamed Belhsan Hmida Date: Fri, 31 Jul 2026 02:29:49 +0100 Subject: [PATCH 028/131] cli/jobs: retain automation guard after queueing failure Keep the per-minute Redis guard after failures because an attempt may already have queued some forecast jobs. Signed-off-by: Mohamed Belhsan Hmida --- flexmeasures/cli/jobs.py | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/flexmeasures/cli/jobs.py b/flexmeasures/cli/jobs.py index 918d76b216..9b53ab308e 100644 --- a/flexmeasures/cli/jobs.py +++ b/flexmeasures/cli/jobs.py @@ -73,8 +73,9 @@ def run_automations(): \b * * * * * flexmeasures jobs run-automations - A Redis-based guard prevents queueing jobs twice if the command happens to run - more than once within the same minute. + A Redis-based guard allows at most one queueing attempt per automation per minute. + A failed attempt is not retried automatically because it may already have queued + some jobs. """ now = floor_to_minute(server_now()) due_automations = get_due_automations(now) @@ -90,7 +91,8 @@ def run_automations(): guard_key = f"automation-run:{automation.id}:{now.isoformat()}" if not connection.set(guard_key, 1, nx=True, ex=120): click.secho( - f"Automation {automation.id} ('{automation.name}') already ran at {now}. Skipping.", + f"Automation {automation.id} ('{automation.name}') was already attempted at {now}. " + "Skipping to avoid duplicate jobs.", **MsgStyle.WARN, ) continue @@ -104,8 +106,8 @@ def run_automations(): n_run += 1 except Exception as e: db.session.rollback() - # release the guard, so a retry within the same minute can still queue jobs - connection.delete(guard_key) + # Queueing a multi-cycle forecast is not transactional. Keep the guard + # because this attempt may have queued some jobs before failing. click.secho( f"Automation {automation.id} ('{automation.name}') failed to queue jobs: {e}", **MsgStyle.ERROR, From 29c46b337e62377472da67a6fb22709a256d89b6 Mon Sep 17 00:00:00 2001 From: Mohamed Belhsan Hmida Date: Fri, 31 Jul 2026 02:31:00 +0100 Subject: [PATCH 029/131] cli/tests: cover partial automation queue failure Verify that retrying a failed partial queueing attempt does not create duplicate jobs. Signed-off-by: Mohamed Belhsan Hmida --- flexmeasures/cli/tests/test_automations.py | 29 +++++++++++++++++++++- 1 file changed, 28 insertions(+), 1 deletion(-) diff --git a/flexmeasures/cli/tests/test_automations.py b/flexmeasures/cli/tests/test_automations.py index bca928355c..4d49fdd89e 100644 --- a/flexmeasures/cli/tests/test_automations.py +++ b/flexmeasures/cli/tests/test_automations.py @@ -1,4 +1,5 @@ import pytest +from types import SimpleNamespace from sqlalchemy import select @@ -128,7 +129,7 @@ def test_run_automations(app, fresh_db, setup_dummy_data, clean_redis): # running again within the same minute does not queue jobs twice n_jobs = len(jobs) result = runner.invoke(run_automations) - assert result.output.count("already ran") == 2, result.output + assert result.output.count("already attempted") == 2, result.output assert len(app.queues["forecasting"].jobs) == n_jobs # inactive automations are not due @@ -138,3 +139,29 @@ def test_run_automations(app, fresh_db, setup_dummy_data, clean_redis): app.redis_connection.flushdb() result = runner.invoke(run_automations) assert "No automations due" in result.output, result.output + + +def test_failed_automation_attempt_is_not_retried(app, clean_redis, mocker): + """A failure after partial queueing must not duplicate that work on retry.""" + from flexmeasures.cli.jobs import run_automations + + automation = SimpleNamespace(id=42, name="Partial run", asset_id=1) + mocker.patch("flexmeasures.cli.jobs.get_due_automations", return_value=[automation]) + + def queue_then_fail(_automation): + app.queues["forecasting"].enqueue("flexmeasures.utils.time_utils.server_now") + raise RuntimeError("failed after queueing") + + mocker.patch("flexmeasures.cli.jobs.run_automation", side_effect=queue_then_fail) + runner = app.test_cli_runner() + + first_result = runner.invoke(run_automations) + assert first_result.exit_code == 1, first_result.output + assert "failed after queueing" in first_result.output + assert app.queues["forecasting"].count == 1 + + retry_result = runner.invoke(run_automations) + assert retry_result.exit_code == 0, retry_result.output + assert "already attempted" in retry_result.output + assert "Skipping to avoid duplicate jobs" in retry_result.output + assert app.queues["forecasting"].count == 1 From 8666c3148104ad7fd8ab0abb8940c1e9f6ebc27e Mon Sep 17 00:00:00 2001 From: Mohamed Belhsan Hmida Date: Fri, 31 Jul 2026 02:32:47 +0100 Subject: [PATCH 030/131] cli: normalize YAML forecasting option files Convert YAML dates to ISO strings, accept empty files, and report non-object config or parameter files as usage errors. Signed-off-by: Mohamed Belhsan Hmida --- flexmeasures/cli/data_add.py | 50 ++++++++++++++++++++++++++++++++---- 1 file changed, 45 insertions(+), 5 deletions(-) diff --git a/flexmeasures/cli/data_add.py b/flexmeasures/cli/data_add.py index fb6f4b0276..b130f5e16e 100755 --- a/flexmeasures/cli/data_add.py +++ b/flexmeasures/cli/data_add.py @@ -5,7 +5,7 @@ from __future__ import annotations from contextlib import nullcontext, redirect_stdout -from datetime import datetime, timedelta +from datetime import date, datetime, timedelta from typing import Dict, Any from flexmeasures.data.schemas.forecasting.pipeline import ( TrainPredictPipelineConfigSchema, @@ -1279,6 +1279,42 @@ def add_holidays( ) +def _normalize_yaml_value(value): + """Convert YAML-native date values to the strings expected by our schemas.""" + if isinstance(value, (date, datetime)): + return value.isoformat() + if isinstance(value, dict): + return {key: _normalize_yaml_value(item) for key, item in value.items()} + if isinstance(value, list): + return [_normalize_yaml_value(item) for item in value] + return value + + +def _load_yaml_mapping(stream: TextIOBase, option_name: str) -> dict: + """Load a YAML/JSON CLI option file whose top level must be an object.""" + value = yaml.safe_load(stream) + if value is None: + return {} + if not isinstance(value, dict): + raise click.UsageError( + f"The {option_name} file must contain a YAML or JSON object " + "at the top level." + ) + return _normalize_yaml_value(value) + + +def _normalize_yaml_mapping(value, option_name: str) -> dict: + """Validate and normalize YAML/JSON data returned by the editor.""" + if value is None: + return {} + if not isinstance(value, dict): + raise click.UsageError( + f"The {option_name} data must contain a YAML or JSON object " + "at the top level." + ) + return _normalize_yaml_value(value) + + def _assemble_forecaster_config_and_parameters( kwargs: dict, source: DataSource | None = None, @@ -1295,7 +1331,7 @@ def _assemble_forecaster_config_and_parameters( """ config = dict() if config_file: - config = yaml.safe_load(config_file) + config = _load_yaml_mapping(config_file, "--config") for field_name, field in TrainPredictPipelineConfigSchema._declared_fields.items(): field_value = kwargs.pop(field_name, None) if field_value is not None: @@ -1308,7 +1344,9 @@ def _assemble_forecaster_config_and_parameters( config[field.data_key] = field_value if edit_config: - config = launch_editor("/tmp/config.yml") + config = _normalize_yaml_mapping( + launch_editor("/tmp/config.yml"), "--edit-config" + ) if source is not None and config: raise click.UsageError( @@ -1318,10 +1356,12 @@ def _assemble_forecaster_config_and_parameters( parameters = dict() if parameters_file: - parameters = yaml.safe_load(parameters_file) + parameters = _load_yaml_mapping(parameters_file, "--parameters") if edit_parameters: - parameters = launch_editor("/tmp/parameters.yml") + parameters = _normalize_yaml_mapping( + launch_editor("/tmp/parameters.yml"), "--edit-parameters" + ) # Move remaining kwargs to parameters, converting from snake_case to kebab-case to match schema expectation for k, v in kwargs.items(): From 3433020acb3af5d8841c1178d8b47d91285fe4be Mon Sep 17 00:00:00 2001 From: Mohamed Belhsan Hmida Date: Fri, 31 Jul 2026 02:34:02 +0100 Subject: [PATCH 031/131] cli/tests: cover automation YAML option files Test YAML dates and timestamps, empty files, and invalid top-level list values for automation options. Signed-off-by: Mohamed Belhsan Hmida --- flexmeasures/cli/tests/test_automations.py | 96 ++++++++++++++++++++++ 1 file changed, 96 insertions(+) diff --git a/flexmeasures/cli/tests/test_automations.py b/flexmeasures/cli/tests/test_automations.py index 4d49fdd89e..74e81a3ca8 100644 --- a/flexmeasures/cli/tests/test_automations.py +++ b/flexmeasures/cli/tests/test_automations.py @@ -87,6 +87,102 @@ def test_add_automation_invalid_cron(app, fresh_db, setup_dummy_data): assert "Invalid value" in result.output +@pytest.mark.parametrize( + ("yaml_start", "expected_start"), + ( + ("2026-07-31", "2026-07-31"), + ("2026-07-31T06:00:00+01:00", "2026-07-31T06:00:00+01:00"), + ), +) +def test_add_automation_normalizes_yaml_dates( + app, + fresh_db, + setup_dummy_data, + tmp_path, + yaml_start, + expected_start, +): + from flexmeasures.cli.data_add import add_automation + + parameters_file = tmp_path / "parameters.yaml" + parameters_file.write_text(f"start: {yaml_start}\n") + result = app.test_cli_runner().invoke( + add_automation, + [ + "--asset", + "1", + "--name", + "YAML dates", + "--cron", + "0 6 * * *", + "--parameters", + str(parameters_file), + "--sensor", + str(setup_dummy_data[0]), + ], + ) + + assert result.exit_code == 0, result.output + automation = fresh_db.session.scalars(select(Automation)).one() + assert automation.parameters["start"] == expected_start + + +@pytest.mark.parametrize("option_name", ("--config", "--parameters")) +def test_add_automation_accepts_empty_yaml_file( + app, fresh_db, setup_dummy_data, tmp_path, option_name +): + from flexmeasures.cli.data_add import add_automation + + empty_file = tmp_path / "empty.yaml" + empty_file.write_text("") + result = app.test_cli_runner().invoke( + add_automation, + [ + "--asset", + "1", + "--name", + "Empty YAML", + "--cron", + "0 6 * * *", + option_name, + str(empty_file), + "--sensor", + str(setup_dummy_data[0]), + ], + ) + + assert result.exit_code == 0, result.output + + +@pytest.mark.parametrize("option_name", ("--config", "--parameters")) +def test_add_automation_rejects_non_object_yaml_file( + app, fresh_db, setup_dummy_data, tmp_path, option_name +): + from flexmeasures.cli.data_add import add_automation + + list_file = tmp_path / "list.yaml" + list_file.write_text("- not\n- an\n- object\n") + result = app.test_cli_runner().invoke( + add_automation, + [ + "--asset", + "1", + "--name", + "Invalid YAML", + "--cron", + "0 6 * * *", + option_name, + str(list_file), + "--sensor", + str(setup_dummy_data[0]), + ], + ) + + assert result.exit_code == 2, result.output + assert "must contain a YAML or JSON object at the top level" in result.output + assert "Traceback" not in result.output + + def test_run_automations(app, fresh_db, setup_dummy_data, clean_redis): """Active automations due this minute queue forecasting jobs (with trigger meta data); inactive ones do not. From 430dcefb6a8a9e3876f6883c60ff0691ff2dea9f Mon Sep 17 00:00:00 2001 From: Mohamed Belhsan Hmida Date: Fri, 31 Jul 2026 02:34:58 +0100 Subject: [PATCH 032/131] data/services: redact inaccessible automation provenance Hide automation names and IDs from asset job responses when the current user cannot read the source automation. Signed-off-by: Mohamed Belhsan Hmida --- flexmeasures/data/services/sensors.py | 31 ++++++++++++++++++++------- 1 file changed, 23 insertions(+), 8 deletions(-) diff --git a/flexmeasures/data/services/sensors.py b/flexmeasures/data/services/sensors.py index 9ff388e982..1c52b5b5d2 100644 --- a/flexmeasures/data/services/sensors.py +++ b/flexmeasures/data/services/sensors.py @@ -7,6 +7,7 @@ from typing import Any from flask import current_app from sqlalchemy import delete +from werkzeug.exceptions import Forbidden, Unauthorized from isodate import duration_isoformat from timely_beliefs import BeliefsDataFrame @@ -21,6 +22,7 @@ from flexmeasures.data import db from flexmeasures import Sensor, Account, Asset +from flexmeasures.auth.policy import check_access from flexmeasures.data.models.audit_log import AssetAuditLog from flexmeasures.data.models.automations import Automation from flexmeasures.data.models.data_sources import DataSource, DEFAULT_DATASOURCE_TYPES @@ -741,6 +743,17 @@ def serialize_sensor_status_data( return sensors +def _can_read_automation(automation: Automation | None) -> bool: + """Whether the current user may see an automation's identifying details.""" + if automation is None: + return False + try: + check_access(automation, "read") + except (Forbidden, Unauthorized): + return False + return True + + def build_asset_jobs_data( asset: Asset, ) -> list[dict]: @@ -808,17 +821,19 @@ def build_asset_jobs_data( ) # Show how the job was created (e.g. via the CLI, the API or an automation) - trigger = job.meta.get("trigger", {}) + metadata_dict = {**job.meta, "job_id": job.id} + trigger = dict(job.meta.get("trigger", {})) created_via = trigger.get("origin", "") if trigger.get("automation_id") is not None: automation = db.session.get(Automation, trigger["automation_id"]) - created_via = ( - f"automation '{automation.name}' ({automation.id})" - if automation is not None - else f"automation {trigger['automation_id']} (deleted)" - ) - - metadata = json.dumps({**job.meta, "job_id": job.id}, default=str, indent=4) + if _can_read_automation(automation): + created_via = f"automation '{automation.name}' ({automation.id})" + else: + created_via = "automation" + trigger.pop("automation_id") + metadata_dict["trigger"] = trigger + + metadata = json.dumps(metadata_dict, default=str, indent=4) jobs_data.append( { "job_id": job.id, From 6c4bbc6ab65d2c95fdc4188ab4195c210bce35e4 Mon Sep 17 00:00:00 2001 From: Mohamed Belhsan Hmida Date: Fri, 31 Jul 2026 02:36:37 +0100 Subject: [PATCH 033/131] api/v3_0/tests: cover automation provenance authorization Verify inaccessible automation provenance is redacted while authorized callers still receive the full identity. Signed-off-by: Mohamed Belhsan Hmida --- .../tests/test_asset_jobs_api_fresh_db.py | 89 +++++++++++++++++++ 1 file changed, 89 insertions(+) create mode 100644 flexmeasures/api/v3_0/tests/test_asset_jobs_api_fresh_db.py diff --git a/flexmeasures/api/v3_0/tests/test_asset_jobs_api_fresh_db.py b/flexmeasures/api/v3_0/tests/test_asset_jobs_api_fresh_db.py new file mode 100644 index 0000000000..1d4c18e14d --- /dev/null +++ b/flexmeasures/api/v3_0/tests/test_asset_jobs_api_fresh_db.py @@ -0,0 +1,89 @@ +import json +from datetime import timedelta + +import pytest +from flask import url_for + +from flexmeasures import Sensor +from flexmeasures.data.models.automations import Automation +from flexmeasures.data.models.generic_assets import GenericAsset + + +@pytest.mark.parametrize( + ("requesting_user", "can_read_automation"), + ( + ("test_dummy_user_3@seita.nl", False), + ("test_admin_user@seita.nl", True), + ), + indirect=["requesting_user"], +) +def test_asset_jobs_redact_inaccessible_automation_provenance( + app, + client, + fresh_db, + setup_accounts_fresh_db, + setup_roles_users_fresh_db, + setup_generic_assets_fresh_db, + clean_redis, + requesting_user, + can_read_automation, +): + source_asset = setup_generic_assets_fresh_db["test_battery"] + target_asset = GenericAsset( + name="Cross-organisation forecast target", + generic_asset_type=source_asset.generic_asset_type, + owner=setup_accounts_fresh_db["Dummy"], + ) + target_sensor = Sensor( + name="target sensor", + generic_asset=target_asset, + unit="MW", + event_resolution=timedelta(minutes=15), + ) + fresh_db.session.add_all([target_asset, target_sensor]) + fresh_db.session.flush() + automation = Automation( + asset=source_asset, + name="Confidential source automation", + type="forecasts", + cronstr="0 6 * * *", + parameters={"sensor": target_sensor.id}, + ) + fresh_db.session.add(automation) + fresh_db.session.flush() + + job = app.queues["forecasting"].enqueue( + sum, + [1, 2], + meta={ + "sensor_id": target_sensor.id, + "trigger": { + "origin": "automation", + "automation_id": automation.id, + }, + }, + ) + app.job_cache.add( + target_sensor.id, + job.id, + queue="forecasting", + asset_or_sensor_type="sensor", + ) + + response = client.get(url_for("AssetAPI:get_jobs", id=target_asset.id)) + + assert response.status_code == 200 + assert len(response.json["jobs"]) == 1 + job_data = response.json["jobs"][0] + metadata = json.loads(job_data["metadata"]) + assert metadata["trigger"]["origin"] == "automation" + if can_read_automation: + assert ( + job_data["created_via"] + == f"automation '{automation.name}' ({automation.id})" + ) + assert metadata["trigger"]["automation_id"] == automation.id + else: + assert job_data["created_via"] == "automation" + assert "automation_id" not in metadata["trigger"] + assert automation.name not in response.text From 337ad3bbf0ee57d89b8e43fa4f3abb4dab1eea57 Mon Sep 17 00:00:00 2001 From: Mohamed Belhsan Hmida Date: Fri, 31 Jul 2026 02:37:06 +0100 Subject: [PATCH 034/131] ui/assets: distinguish automation load failures Show a persistent API error instead of presenting failed automation requests as an empty list. Signed-off-by: Mohamed Belhsan Hmida --- .../templates/assets/asset_automations.html | 25 +++++++++++++++++-- 1 file changed, 23 insertions(+), 2 deletions(-) diff --git a/flexmeasures/ui/templates/assets/asset_automations.html b/flexmeasures/ui/templates/assets/asset_automations.html index 90b7f95f69..1294691207 100644 --- a/flexmeasures/ui/templates/assets/asset_automations.html +++ b/flexmeasures/ui/templates/assets/asset_automations.html @@ -51,7 +51,7 @@