feat(backend): detecte les alertes internes a partir des lectures et previsions
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from datetime import UTC, datetime
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import pytest
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.detection import internal_alerts
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from app.repositories.alert import AlertRepository
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from tests.repositories.test_reading import creer_lecture
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from tests.repositories.test_site import creer as creer_site
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def test_parse_args_defaults_to_no_site_and_no_instant() -> None:
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arguments = internal_alerts.parse_args([])
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assert arguments.site_id is None
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assert arguments.now is None
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def test_parse_args_reads_the_site_id() -> None:
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arguments = internal_alerts.parse_args(["--site-id", "site-1"])
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assert arguments.site_id == "site-1"
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def test_parse_args_parses_the_instant_option() -> None:
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arguments = internal_alerts.parse_args(["--now", "2026-09-16T12:00:00+00:00"])
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assert arguments.now == datetime(2026, 9, 16, 12, tzinfo=UTC)
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def test_parse_instant_treats_a_naive_datetime_as_utc() -> None:
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assert internal_alerts._parse_instant("2026-09-16T12:00:00") == datetime(
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2026, 9, 16, 12, tzinfo=UTC
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)
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def test_main_prints_how_many_alerts_were_recorded(
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monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture[str]
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) -> None:
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async def fausse_execution(*, now: datetime | None, site_id: str | None) -> int:
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return 3
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monkeypatch.setattr(internal_alerts, "run_detection", fausse_execution)
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code = internal_alerts.main([])
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assert code == 0
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assert "3 nouvelle" in capsys.readouterr().out
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@pytest.mark.integration
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async def test_run_detection_writes_a_threshold_alert_end_to_end(session: AsyncSession) -> None:
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site = await creer_site(session, capacity_kw=100.0)
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instant = datetime(2026, 9, 16, 12, tzinfo=UTC)
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await creer_lecture(session, site_id=site.site_id, timestamp=instant, consumption_kw=150.0)
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await session.commit()
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nombre = await internal_alerts.run_detection(now=instant, site_id=site.site_id)
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alertes = await AlertRepository(session).list_all(site_id=site.site_id)
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types = [a.type for a in alertes]
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await session.rollback()
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assert nombre == 1
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assert types == ["threshold"]
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