Merge remote-tracking branch 'origin/dev' into feat/moteur-regles-recommandations
This commit is contained in:
@@ -89,3 +89,60 @@ async def test_list_all_returns_an_empty_list_when_there_is_nothing(
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alertes = await depot.list_all(site_id=identifiant_site())
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assert list(alertes) == []
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def _alerte_a_inserer(*, site_id: str, source_alert_id: str) -> Alert:
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return Alert(
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source_alert_id=source_alert_id,
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site_id=site_id,
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source="enervision",
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timestamp=datetime(2026, 9, 16, tzinfo=UTC),
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type="threshold",
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severity="high",
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message="Dépassement du seuil configuré",
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value=812.5,
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threshold=720.0,
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metric="consumption_kw",
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prediction_id=None,
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raw_data={},
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)
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async def test_create_many_inserts_every_alert(session: AsyncSession) -> None:
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site = await creer_site(session)
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depot = AlertRepository(session)
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creees = await depot.create_many(
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[
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_alerte_a_inserer(site_id=site.site_id, source_alert_id="threshold:a"),
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_alerte_a_inserer(site_id=site.site_id, source_alert_id="threshold:b"),
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]
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)
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identifiants = [a.alert_id for a in creees]
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await session.rollback()
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assert len(identifiants) == 2
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assert all(identifiant is not None for identifiant in identifiants)
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async def test_create_many_skips_a_duplicate_source_alert_id(session: AsyncSession) -> None:
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site = await creer_site(session)
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depot = AlertRepository(session)
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await depot.create_many(
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[_alerte_a_inserer(site_id=site.site_id, source_alert_id="threshold:rejouee")]
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)
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rejouees = await depot.create_many(
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[_alerte_a_inserer(site_id=site.site_id, source_alert_id="threshold:rejouee")]
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)
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await session.rollback()
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assert rejouees == []
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async def test_create_many_does_nothing_for_an_empty_list(session: AsyncSession) -> None:
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depot = AlertRepository(session)
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creees = await depot.create_many([])
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assert creees == []
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@@ -29,6 +29,85 @@ async def creer_prediction(
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return prediction
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async def test_list_since_excludes_predictions_before_the_cutoff(session: AsyncSession) -> None:
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site = await creer_site(session)
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depot = PredictionRepository(session)
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dedans = await creer_prediction(
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session, site_id=site.site_id, target_at=datetime(2026, 9, 16, tzinfo=UTC)
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)
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await creer_prediction(
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session, site_id=site.site_id, target_at=datetime(2026, 9, 1, tzinfo=UTC)
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)
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resultats = await depot.list_since(
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since=datetime(2026, 9, 10, tzinfo=UTC), site_id=site.site_id
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)
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identifiants = [p.prediction_id for p in resultats]
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await session.rollback()
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assert identifiants == [dedans.prediction_id]
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async def test_list_since_excludes_predictions_that_are_not_available(
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session: AsyncSession,
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) -> None:
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site = await creer_site(session)
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depot = PredictionRepository(session)
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await creer_prediction(
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session,
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site_id=site.site_id,
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target_at=datetime(2026, 9, 16, tzinfo=UTC),
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status="insufficient_data",
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predicted_value=None,
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failure_reason="pas assez d'historique",
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)
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resultats = await depot.list_since(since=datetime(2026, 9, 1, tzinfo=UTC), site_id=site.site_id)
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await session.rollback()
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assert list(resultats) == []
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async def test_list_since_breaks_a_target_at_tie_by_ascending_prediction_id(
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session: AsyncSession,
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) -> None:
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# `prediction` n'a pas d'unicité sur `(site_id, target_at)` : deux runs de scoring sans
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# nouvelle lecture entre-temps produisent deux lignes `available` à la même cible. Sans ce
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# départage, `_detect_anomaly` retiendrait une ligne au hasard plutôt que le run le plus
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# récent.
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site = await creer_site(session)
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depot = PredictionRepository(session)
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cible = datetime(2026, 9, 16, tzinfo=UTC)
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premier_run = await creer_prediction(
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session, site_id=site.site_id, target_at=cible, predicted_value=10.0
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)
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second_run = await creer_prediction(
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session, site_id=site.site_id, target_at=cible, predicted_value=20.0
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)
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resultats = await depot.list_since(since=datetime(2026, 9, 1, tzinfo=UTC), site_id=site.site_id)
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identifiants = [p.prediction_id for p in resultats]
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await session.rollback()
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assert identifiants == [premier_run.prediction_id, second_run.prediction_id]
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async def test_list_since_filters_by_site_id(session: AsyncSession) -> None:
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premier = await creer_site(session)
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second = await creer_site(session)
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depot = PredictionRepository(session)
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voulue = await creer_prediction(session, site_id=premier.site_id)
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await creer_prediction(session, site_id=second.site_id)
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resultats = await depot.list_since(
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since=datetime(2026, 8, 1, tzinfo=UTC), site_id=premier.site_id
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)
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identifiants = [p.prediction_id for p in resultats]
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await session.rollback()
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assert identifiants == [voulue.prediction_id]
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async def test_latest_by_site_keeps_only_the_most_recent_target(session: AsyncSession) -> None:
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site = await creer_site(session)
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depot = PredictionRepository(session)
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@@ -155,6 +155,79 @@ async def test_latest_for_site_ignores_the_readings_of_the_other_sites(
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assert trouvee is None
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async def test_list_since_orders_by_site_then_by_time_ascending(session: AsyncSession) -> None:
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site = await creer_site(session)
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depot = ReadingRepository(session)
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plus_recente = await creer_lecture(
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session, site_id=site.site_id, timestamp=datetime(2026, 9, 16, tzinfo=UTC)
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)
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plus_ancienne = await creer_lecture(
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session, site_id=site.site_id, timestamp=datetime(2026, 9, 15, tzinfo=UTC)
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)
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resultats = await depot.list_since(since=datetime(2026, 9, 1, tzinfo=UTC), site_id=site.site_id)
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identifiants = [r.reading_id for r in resultats]
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await session.rollback()
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assert identifiants == [plus_ancienne.reading_id, plus_recente.reading_id]
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async def test_list_since_excludes_readings_before_the_cutoff(session: AsyncSession) -> None:
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site = await creer_site(session)
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depot = ReadingRepository(session)
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dedans = await creer_lecture(
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session, site_id=site.site_id, timestamp=datetime(2026, 9, 16, tzinfo=UTC)
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)
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await creer_lecture(session, site_id=site.site_id, timestamp=datetime(2026, 9, 1, tzinfo=UTC))
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resultats = await depot.list_since(
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since=datetime(2026, 9, 10, tzinfo=UTC), site_id=site.site_id
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)
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identifiants = [r.reading_id for r in resultats]
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await session.rollback()
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assert identifiants == [dedans.reading_id]
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async def test_list_since_breaks_a_timestamp_tie_by_ascending_reading_id(
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session: AsyncSession,
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) -> None:
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# `uq_reading_source` autorise deux lignes au même `site_id`+`timestamp` quand la `source`
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# diffère (même piège que `latest_for_site`). Sans ce départage, `_detect_spike` traiterait
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# cette paire comme une variation réelle selon un ordre non garanti par le plan d'exécution.
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site = await creer_site(session)
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depot = ReadingRepository(session)
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horodatage = datetime(2026, 9, 16, tzinfo=UTC)
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premiere = await creer_lecture(
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session, site_id=site.site_id, timestamp=horodatage, source="api_history", consumption_kw=10
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)
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seconde = await creer_lecture(
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session, site_id=site.site_id, timestamp=horodatage, source="api_current", consumption_kw=42
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)
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resultats = await depot.list_since(since=datetime(2026, 9, 1, tzinfo=UTC), site_id=site.site_id)
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identifiants = [r.reading_id for r in resultats]
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await session.rollback()
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assert identifiants == [premiere.reading_id, seconde.reading_id]
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async def test_list_since_filters_by_site_id(session: AsyncSession) -> None:
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premier = await creer_site(session)
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second = await creer_site(session)
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depot = ReadingRepository(session)
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voulue = await creer_lecture(session, site_id=premier.site_id)
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await creer_lecture(session, site_id=second.site_id)
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resultats = await depot.list_since(
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since=datetime(2026, 8, 1, tzinfo=UTC), site_id=premier.site_id
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)
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identifiants = [r.reading_id for r in resultats]
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await session.rollback()
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assert identifiants == [voulue.reading_id]
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async def test_list_history_orders_the_readings_by_timestamp_descending(
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session: AsyncSession,
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) -> None:
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@@ -1,7 +1,10 @@
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from datetime import UTC, datetime
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from dataclasses import dataclass, field
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from datetime import UTC, datetime, timedelta
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from app.models.energy import Alert
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from app.services.alert import AlertService
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from app.services.alert import OUTAGE_THRESHOLD, AlertService, _severity_from_ratio
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NOW = datetime(2026, 9, 16, 12, 0, tzinfo=UTC)
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def alert(
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@@ -26,10 +29,36 @@ def alert(
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)
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@dataclass
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class FauxSite:
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site_id: str
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capacity_kw: float | None = None
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@dataclass
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class FauxLecture:
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site_id: str
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timestamp: datetime
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consumption_kw: float | None = None
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consumption_kwh: float | None = None
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data_quality: str | None = None
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null_reasons: list[str] | None = None
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@dataclass
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class FauxPrediction:
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site_id: str
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target_at: datetime
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predicted_value: float | None
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target_metric: str = "consumption_kwh"
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prediction_id: int = 1
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class FakeRepository:
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def __init__(self, alerts: list[Alert]) -> None:
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self._alerts = alerts
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self.appels: list[tuple[str | None, str | None]] = []
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self.crees: list[Alert] = []
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async def list_all(
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self, *, site_id: str | None = None, severity: str | None = None
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@@ -37,19 +66,392 @@ class FakeRepository:
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self.appels.append((site_id, severity))
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return self._alerts
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async def create_many(self, alerts: list[Alert]) -> list[Alert]:
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self.crees = list(alerts)
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return self.crees
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@dataclass
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class FauxDepotLectures:
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depuis: list[FauxLecture] = field(default_factory=list)
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dernieres: list[FauxLecture] = field(default_factory=list)
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async def list_since(self, *, since: datetime, site_id: str | None = None) -> list[FauxLecture]:
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return [lecture for lecture in self.depuis if site_id is None or lecture.site_id == site_id]
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async def latest_by_site(self) -> list[FauxLecture]:
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return self.dernieres
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@dataclass
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class FauxDepotPredictions:
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predictions: list[FauxPrediction] = field(default_factory=list)
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async def list_since(
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self, *, since: datetime, site_id: str | None = None
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) -> list[FauxPrediction]:
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return [p for p in self.predictions if site_id is None or p.site_id == site_id]
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|
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@dataclass
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class FauxDepotSites:
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sites: list[FauxSite]
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async def list_all(self) -> list[FauxSite]:
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return self.sites
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def service(
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*,
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sites: list[FauxSite],
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lectures: list[FauxLecture] | None = None,
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dernieres: list[FauxLecture] | None = None,
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predictions: list[FauxPrediction] | None = None,
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alerts: FakeRepository | None = None,
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) -> tuple[AlertService, FakeRepository]:
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depot_alertes = alerts or FakeRepository([])
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dernieres_lectures = dernieres if dernieres is not None else (lectures or [])
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return (
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AlertService(
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alerts=depot_alertes, # type: ignore[arg-type]
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readings=FauxDepotLectures(depuis=lectures or [], dernieres=dernieres_lectures), # type: ignore[arg-type]
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predictions=FauxDepotPredictions(predictions or []), # type: ignore[arg-type]
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sites=FauxDepotSites(sites), # type: ignore[arg-type]
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),
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depot_alertes,
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)
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|
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|
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async def test_list_all_returns_the_repository_alerts() -> None:
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service = AlertService(alerts=FakeRepository([alert(1), alert(2)]))
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svc, _ = service(sites=[], alerts=FakeRepository([alert(1), alert(2)]))
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alertes = await service.list_all()
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alertes = await svc.list_all()
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||||
|
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assert [a.alert_id for a in alertes] == [1, 2]
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|
||||
|
||||
async def test_list_all_relays_the_filters_to_the_repository() -> None:
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depot = FakeRepository([])
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service = AlertService(alerts=depot)
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svc, _ = service(sites=[], alerts=depot)
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|
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await service.list_all(site_id="site-1", severity="critical")
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await svc.list_all(site_id="site-1", severity="critical")
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|
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assert depot.appels == [("site-1", "critical")]
|
||||
|
||||
|
||||
async def test_detect_raises_a_threshold_alert_above_site_capacity() -> None:
|
||||
svc, depot = service(
|
||||
sites=[FauxSite("A", capacity_kw=100.0)],
|
||||
lectures=[FauxLecture("A", NOW, consumption_kw=150.0)],
|
||||
)
|
||||
|
||||
await svc.detect(now=NOW)
|
||||
|
||||
(candidate,) = depot.crees
|
||||
assert candidate.type == "threshold"
|
||||
assert candidate.severity == "high"
|
||||
assert candidate.value == 150.0
|
||||
assert candidate.threshold == 100.0
|
||||
assert candidate.metric == "consumption_kw"
|
||||
|
||||
|
||||
async def test_detect_ignores_a_reading_within_capacity() -> None:
|
||||
svc, depot = service(
|
||||
sites=[FauxSite("A", capacity_kw=100.0)],
|
||||
lectures=[FauxLecture("A", NOW, consumption_kw=80.0)],
|
||||
)
|
||||
|
||||
await svc.detect(now=NOW)
|
||||
|
||||
assert depot.crees == []
|
||||
|
||||
|
||||
async def test_detect_ignores_threshold_when_the_site_has_no_declared_capacity() -> None:
|
||||
svc, depot = service(
|
||||
sites=[FauxSite("A", capacity_kw=None)],
|
||||
lectures=[FauxLecture("A", NOW, consumption_kw=9999.0)],
|
||||
)
|
||||
|
||||
await svc.detect(now=NOW)
|
||||
|
||||
assert depot.crees == []
|
||||
|
||||
|
||||
async def test_detect_raises_a_spike_alert_on_a_brutal_consecutive_variation() -> None:
|
||||
svc, depot = service(
|
||||
sites=[FauxSite("A")],
|
||||
lectures=[
|
||||
FauxLecture("A", NOW - timedelta(hours=1), consumption_kw=100.0),
|
||||
FauxLecture("A", NOW, consumption_kw=160.0),
|
||||
],
|
||||
)
|
||||
|
||||
await svc.detect(now=NOW)
|
||||
|
||||
(candidate,) = [a for a in depot.crees if a.type == "spike"]
|
||||
assert candidate.value == 160.0
|
||||
assert candidate.threshold == 100.0
|
||||
assert candidate.timestamp == NOW
|
||||
|
||||
|
||||
async def test_detect_ignores_a_moderate_consecutive_variation() -> None:
|
||||
svc, depot = service(
|
||||
sites=[FauxSite("A")],
|
||||
lectures=[
|
||||
FauxLecture("A", NOW - timedelta(hours=1), consumption_kw=100.0),
|
||||
FauxLecture("A", NOW, consumption_kw=110.0),
|
||||
],
|
||||
)
|
||||
|
||||
await svc.detect(now=NOW)
|
||||
|
||||
assert [a for a in depot.crees if a.type == "spike"] == []
|
||||
|
||||
|
||||
async def test_detect_never_compares_consecutive_readings_across_two_sites() -> None:
|
||||
svc, depot = service(
|
||||
sites=[FauxSite("A"), FauxSite("B")],
|
||||
lectures=[
|
||||
FauxLecture("A", NOW - timedelta(hours=1), consumption_kw=10.0),
|
||||
FauxLecture("B", NOW, consumption_kw=1000.0),
|
||||
],
|
||||
)
|
||||
|
||||
await svc.detect(now=NOW)
|
||||
|
||||
assert [a for a in depot.crees if a.type == "spike"] == []
|
||||
|
||||
|
||||
async def test_detect_raises_an_anomaly_alert_far_from_the_matching_prediction() -> None:
|
||||
svc, depot = service(
|
||||
sites=[FauxSite("A")],
|
||||
lectures=[FauxLecture("A", NOW, consumption_kwh=100.0)],
|
||||
predictions=[FauxPrediction("A", target_at=NOW, predicted_value=70.0)],
|
||||
)
|
||||
|
||||
await svc.detect(now=NOW)
|
||||
|
||||
(candidate,) = [a for a in depot.crees if a.type == "anomaly"]
|
||||
assert candidate.value == 100.0
|
||||
assert candidate.threshold == 70.0
|
||||
assert candidate.metric == "consumption_kwh"
|
||||
assert candidate.prediction_id == 1
|
||||
|
||||
|
||||
async def test_detect_ignores_a_reading_close_to_its_prediction() -> None:
|
||||
svc, depot = service(
|
||||
sites=[FauxSite("A")],
|
||||
lectures=[FauxLecture("A", NOW, consumption_kwh=100.0)],
|
||||
predictions=[FauxPrediction("A", target_at=NOW, predicted_value=95.0)],
|
||||
)
|
||||
|
||||
await svc.detect(now=NOW)
|
||||
|
||||
assert [a for a in depot.crees if a.type == "anomaly"] == []
|
||||
|
||||
|
||||
async def test_detect_ignores_a_prediction_whose_target_at_does_not_match_the_reading() -> None:
|
||||
svc, depot = service(
|
||||
sites=[FauxSite("A")],
|
||||
lectures=[FauxLecture("A", NOW, consumption_kwh=100.0)],
|
||||
predictions=[FauxPrediction("A", target_at=NOW - timedelta(hours=1), predicted_value=1.0)],
|
||||
)
|
||||
|
||||
await svc.detect(now=NOW)
|
||||
|
||||
assert [a for a in depot.crees if a.type == "anomaly"] == []
|
||||
|
||||
|
||||
async def test_detect_keeps_the_most_recent_run_when_two_predictions_share_the_same_target() -> (
|
||||
None
|
||||
):
|
||||
# `PredictionRepository.list_since` départage les égalités de `target_at` par `prediction_id`
|
||||
# croissant : le repository fait donc déjà passer le run le plus récent en dernier dans la
|
||||
# liste, et c'est ce dernier que le dict de `_detect_anomaly` doit retenir.
|
||||
svc, depot = service(
|
||||
sites=[FauxSite("A")],
|
||||
lectures=[FauxLecture("A", NOW, consumption_kwh=100.0)],
|
||||
predictions=[
|
||||
FauxPrediction("A", target_at=NOW, predicted_value=100.0, prediction_id=1),
|
||||
FauxPrediction("A", target_at=NOW, predicted_value=70.0, prediction_id=2),
|
||||
],
|
||||
)
|
||||
|
||||
await svc.detect(now=NOW)
|
||||
|
||||
(candidate,) = [a for a in depot.crees if a.type == "anomaly"]
|
||||
assert candidate.threshold == 70.0
|
||||
assert candidate.prediction_id == 2
|
||||
|
||||
|
||||
async def test_detect_raises_an_outage_alert_past_the_threshold() -> None:
|
||||
derniere = NOW - OUTAGE_THRESHOLD - timedelta(minutes=1)
|
||||
svc, depot = service(
|
||||
sites=[FauxSite("A")],
|
||||
lectures=[],
|
||||
dernieres=[FauxLecture("A", derniere)],
|
||||
)
|
||||
|
||||
await svc.detect(now=NOW)
|
||||
|
||||
(candidate,) = [a for a in depot.crees if a.type == "outage"]
|
||||
assert candidate.severity in {"low", "medium", "high", "critical"}
|
||||
|
||||
|
||||
async def test_detect_ignores_a_site_still_within_the_outage_threshold() -> None:
|
||||
derniere = NOW - OUTAGE_THRESHOLD + timedelta(minutes=1)
|
||||
svc, depot = service(
|
||||
sites=[FauxSite("A")],
|
||||
lectures=[],
|
||||
dernieres=[FauxLecture("A", derniere)],
|
||||
)
|
||||
|
||||
await svc.detect(now=NOW)
|
||||
|
||||
assert [a for a in depot.crees if a.type == "outage"] == []
|
||||
|
||||
|
||||
async def test_detect_raises_a_critical_outage_alert_for_a_site_never_read() -> None:
|
||||
svc, depot = service(sites=[FauxSite("A")], lectures=[], dernieres=[])
|
||||
|
||||
await svc.detect(now=NOW)
|
||||
|
||||
(candidate,) = [a for a in depot.crees if a.type == "outage"]
|
||||
assert candidate.severity == "critical"
|
||||
assert candidate.source_alert_id == "outage:jamais"
|
||||
|
||||
|
||||
async def test_detect_raises_a_sensor_alert_on_a_degraded_reading() -> None:
|
||||
svc, depot = service(
|
||||
sites=[FauxSite("A")],
|
||||
lectures=[FauxLecture("A", NOW, data_quality="critical", null_reasons=["missing:x"])],
|
||||
)
|
||||
|
||||
await svc.detect(now=NOW)
|
||||
|
||||
(candidate,) = [a for a in depot.crees if a.type == "sensor"]
|
||||
assert candidate.severity == "critical"
|
||||
|
||||
|
||||
async def test_detect_ignores_a_good_quality_reading_for_the_sensor_rule() -> None:
|
||||
svc, depot = service(
|
||||
sites=[FauxSite("A")],
|
||||
lectures=[FauxLecture("A", NOW, data_quality="good")],
|
||||
)
|
||||
|
||||
await svc.detect(now=NOW)
|
||||
|
||||
assert [a for a in depot.crees if a.type == "sensor"] == []
|
||||
|
||||
|
||||
async def test_detect_scopes_to_a_single_site_when_asked() -> None:
|
||||
svc, depot = service(
|
||||
sites=[FauxSite("A", capacity_kw=100.0), FauxSite("B", capacity_kw=100.0)],
|
||||
lectures=[
|
||||
FauxLecture("A", NOW, consumption_kw=150.0),
|
||||
FauxLecture("B", NOW, consumption_kw=150.0),
|
||||
],
|
||||
)
|
||||
|
||||
await svc.detect(now=NOW, site_id="A")
|
||||
|
||||
assert {a.site_id for a in depot.crees} == {"A"}
|
||||
|
||||
|
||||
async def test_detect_returns_early_when_there_is_no_site() -> None:
|
||||
svc, depot = service(sites=[])
|
||||
|
||||
resultat = await svc.detect(now=NOW)
|
||||
|
||||
assert resultat == []
|
||||
assert depot.crees == []
|
||||
|
||||
|
||||
async def test_detect_ignores_a_spike_pair_with_a_missing_measurement() -> None:
|
||||
svc, depot = service(
|
||||
sites=[FauxSite("A")],
|
||||
lectures=[
|
||||
FauxLecture("A", NOW - timedelta(hours=1), consumption_kw=None),
|
||||
FauxLecture("A", NOW, consumption_kw=160.0),
|
||||
],
|
||||
)
|
||||
|
||||
await svc.detect(now=NOW)
|
||||
|
||||
assert [a for a in depot.crees if a.type == "spike"] == []
|
||||
|
||||
|
||||
async def test_detect_ignores_a_reading_still_at_zero_after_a_previous_zero() -> None:
|
||||
svc, depot = service(
|
||||
sites=[FauxSite("A")],
|
||||
lectures=[
|
||||
FauxLecture("A", NOW - timedelta(hours=1), consumption_kw=0.0),
|
||||
FauxLecture("A", NOW, consumption_kw=0.0),
|
||||
],
|
||||
)
|
||||
|
||||
await svc.detect(now=NOW)
|
||||
|
||||
assert [a for a in depot.crees if a.type == "spike"] == []
|
||||
|
||||
|
||||
async def test_detect_raises_a_critical_spike_when_a_site_restarts_from_zero() -> None:
|
||||
svc, depot = service(
|
||||
sites=[FauxSite("A")],
|
||||
lectures=[
|
||||
FauxLecture("A", NOW - timedelta(hours=1), consumption_kw=0.0),
|
||||
FauxLecture("A", NOW, consumption_kw=50.0),
|
||||
],
|
||||
)
|
||||
|
||||
await svc.detect(now=NOW)
|
||||
|
||||
(candidate,) = [a for a in depot.crees if a.type == "spike"]
|
||||
assert candidate.severity == "critical"
|
||||
assert candidate.value == 50.0
|
||||
assert candidate.threshold == 0.0
|
||||
|
||||
|
||||
async def test_detect_ignores_a_spike_pair_sharing_the_same_timestamp() -> None:
|
||||
svc, depot = service(
|
||||
sites=[FauxSite("A")],
|
||||
lectures=[
|
||||
FauxLecture("A", NOW, consumption_kw=100.0),
|
||||
FauxLecture("A", NOW, consumption_kw=160.0),
|
||||
],
|
||||
)
|
||||
|
||||
await svc.detect(now=NOW)
|
||||
|
||||
assert [a for a in depot.crees if a.type == "spike"] == []
|
||||
|
||||
|
||||
async def test_detect_ignores_an_anomaly_when_the_prediction_is_near_zero() -> None:
|
||||
svc, depot = service(
|
||||
sites=[FauxSite("A")],
|
||||
lectures=[FauxLecture("A", NOW, consumption_kwh=5.0)],
|
||||
predictions=[FauxPrediction("A", target_at=NOW, predicted_value=0.0)],
|
||||
)
|
||||
|
||||
await svc.detect(now=NOW)
|
||||
|
||||
assert [a for a in depot.crees if a.type == "anomaly"] == []
|
||||
|
||||
|
||||
def test_severity_from_ratio_covers_every_band() -> None:
|
||||
assert _severity_from_ratio(1.0) == "low"
|
||||
assert _severity_from_ratio(1.2) == "medium"
|
||||
assert _severity_from_ratio(1.5) == "high"
|
||||
assert _severity_from_ratio(2.0) == "critical"
|
||||
|
||||
|
||||
async def test_detect_does_not_call_create_many_when_nothing_triggers() -> None:
|
||||
svc, depot = service(
|
||||
sites=[FauxSite("A", capacity_kw=100.0)],
|
||||
lectures=[FauxLecture("A", NOW, consumption_kw=10.0, data_quality="good")],
|
||||
)
|
||||
|
||||
resultat = await svc.detect(now=NOW)
|
||||
|
||||
assert resultat == []
|
||||
assert depot.crees == []
|
||||
|
||||
@@ -0,0 +1,87 @@
|
||||
from datetime import UTC, datetime
|
||||
|
||||
import pytest
|
||||
from sqlalchemy import text
|
||||
from sqlalchemy.ext.asyncio import AsyncSession
|
||||
|
||||
from app.db.session import get_session_factory
|
||||
from app.detection import internal_alerts
|
||||
from app.repositories.alert import AlertRepository
|
||||
from tests.repositories.test_reading import creer_lecture
|
||||
from tests.repositories.test_site import creer as creer_site
|
||||
|
||||
|
||||
def test_parse_args_defaults_to_no_site_and_no_instant() -> None:
|
||||
arguments = internal_alerts.parse_args([])
|
||||
|
||||
assert arguments.site_id is None
|
||||
assert arguments.now is None
|
||||
|
||||
|
||||
def test_parse_args_reads_the_site_id() -> None:
|
||||
arguments = internal_alerts.parse_args(["--site-id", "site-1"])
|
||||
|
||||
assert arguments.site_id == "site-1"
|
||||
|
||||
|
||||
def test_parse_args_parses_the_instant_option() -> None:
|
||||
arguments = internal_alerts.parse_args(["--now", "2026-09-16T12:00:00+00:00"])
|
||||
|
||||
assert arguments.now == datetime(2026, 9, 16, 12, tzinfo=UTC)
|
||||
|
||||
|
||||
def test_parse_instant_treats_a_naive_datetime_as_utc() -> None:
|
||||
assert internal_alerts._parse_instant("2026-09-16T12:00:00") == datetime(
|
||||
2026, 9, 16, 12, tzinfo=UTC
|
||||
)
|
||||
|
||||
|
||||
def test_main_prints_how_many_alerts_were_recorded(
|
||||
monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture[str]
|
||||
) -> None:
|
||||
async def fausse_execution(*, now: datetime | None, site_id: str | None) -> int:
|
||||
return 3
|
||||
|
||||
monkeypatch.setattr(internal_alerts, "run_detection", fausse_execution)
|
||||
|
||||
code = internal_alerts.main([])
|
||||
|
||||
assert code == 0
|
||||
assert "3 nouvelle" in capsys.readouterr().out
|
||||
|
||||
|
||||
@pytest.mark.integration
|
||||
async def test_run_detection_writes_a_threshold_alert_end_to_end(session: AsyncSession) -> None:
|
||||
# `run_detection` ouvre sa propre session et commite : `session.rollback()` seul ne défait
|
||||
# rien ici (contrairement au reste de la suite), d'où le nettoyage explicite ci-dessous, sur
|
||||
# le modèle de `tests/api/test_matrice_acces.py`.
|
||||
site = await creer_site(session, capacity_kw=100.0)
|
||||
site_id = site.site_id
|
||||
instant = datetime(2026, 9, 16, 12, tzinfo=UTC)
|
||||
await creer_lecture(session, site_id=site_id, timestamp=instant, consumption_kw=150.0)
|
||||
await session.commit()
|
||||
|
||||
try:
|
||||
nombre = await internal_alerts.run_detection(now=instant, site_id=site_id)
|
||||
|
||||
alertes = await AlertRepository(session).list_all(site_id=site_id)
|
||||
types = [a.type for a in alertes]
|
||||
await session.rollback()
|
||||
|
||||
assert nombre == 1
|
||||
assert types == ["threshold"]
|
||||
finally:
|
||||
# `site.site_id` n'est plus sûr après `session.rollback()` : le rollback expire tous les
|
||||
# objets de la session (indépendamment d'`expire_on_commit`), et y accéder ici relance une
|
||||
# requête hors contexte async. D'où `site_id`, capturé avant.
|
||||
async with get_session_factory()() as nettoyage:
|
||||
await nettoyage.execute(
|
||||
text("delete from alert where site_id = :site_id"), {"site_id": site_id}
|
||||
)
|
||||
await nettoyage.execute(
|
||||
text("delete from reading where site_id = :site_id"), {"site_id": site_id}
|
||||
)
|
||||
await nettoyage.execute(
|
||||
text("delete from site where site_id = :site_id"), {"site_id": site_id}
|
||||
)
|
||||
await nettoyage.commit()
|
||||
Reference in New Issue
Block a user