feat(backend): detecte les alertes internes a partir des lectures et previsions
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@@ -29,6 +29,61 @@ 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_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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