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138 lines
4.8 KiB
Python
138 lines
4.8 KiB
Python
from __future__ import annotations
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from datetime import UTC, datetime
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from pathlib import Path
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from uuid import uuid4
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import pytest
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from app.core.errors import AppError
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from app.models import Dataset
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from app.services.temporal_compatibility_service import TemporalCompatibilityService
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ROOT = Path(__file__).parents[2]
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def dataset(
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*,
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dataset_type: str,
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source_name: str,
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observed_at: datetime | None = None,
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valid_from: datetime | None = None,
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valid_to: datetime | None = None,
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temporal_granularity: str | None = None,
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source_metadata: dict | None = None,
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) -> Dataset:
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return Dataset(
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id=uuid4(),
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project_id=uuid4(),
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name="temporal-source",
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dataset_type=dataset_type,
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source=source_name,
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source_name=source_name,
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observed_at=observed_at,
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valid_from=valid_from,
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valid_to=valid_to,
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temporal_granularity=temporal_granularity,
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source_metadata=source_metadata,
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)
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def test_historical_orthophoto_is_rejected_for_detection() -> None:
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historical = dataset(
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dataset_type="raster",
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source_name="digitaal_vlaanderen_orthophoto",
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observed_at=datetime(2020, 1, 1, tzinfo=UTC),
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valid_from=datetime(2020, 1, 1, tzinfo=UTC),
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valid_to=datetime(2020, 12, 31, 23, 59, 59, tzinfo=UTC),
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temporal_granularity="year",
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source_metadata={"product_key": "2020", "supports_detection": False},
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)
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with pytest.raises(AppError) as exc_info:
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TemporalCompatibilityService.ensure_detection_source_supported(historical)
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assert exc_info.value.code == "DETECTION_SOURCE_TEMPORALLY_UNSUPPORTED"
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assert exc_info.value.status_code == 422
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def test_historical_detection_qa_rejects_current_reference() -> None:
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historical = dataset(
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dataset_type="raster",
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source_name="digitaal_vlaanderen_orthophoto",
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valid_from=datetime(2020, 1, 1, tzinfo=UTC),
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valid_to=datetime(2020, 12, 31, 23, 59, 59, tzinfo=UTC),
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temporal_granularity="year",
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source_metadata={"product_key": "2020", "supports_detection": False},
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)
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current_reference = dataset(
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dataset_type="vector",
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source_name="grb",
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valid_from=datetime(2026, 7, 1, tzinfo=UTC),
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valid_to=datetime(2026, 7, 31, 23, 59, 59, tzinfo=UTC),
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temporal_granularity="month",
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)
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with pytest.raises(AppError) as exc_info:
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TemporalCompatibilityService.assess_detection_qa(historical, current_reference)
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assert exc_info.value.code == "DETECTION_QA_TEMPORAL_MISMATCH"
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assert exc_info.value.status_code == 422
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def test_historical_detection_qa_accepts_overlapping_reference_edition() -> None:
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historical = dataset(
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dataset_type="raster",
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source_name="digitaal_vlaanderen_orthophoto",
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valid_from=datetime(2020, 1, 1, tzinfo=UTC),
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valid_to=datetime(2020, 12, 31, 23, 59, 59, tzinfo=UTC),
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temporal_granularity="year",
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source_metadata={"product_key": "2020", "supports_detection": False},
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)
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historical_reference = dataset(
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dataset_type="vector",
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source_name="manual",
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valid_from=datetime(2020, 6, 1, tzinfo=UTC),
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valid_to=datetime(2020, 6, 30, 23, 59, 59, tzinfo=UTC),
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temporal_granularity="month",
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)
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result = TemporalCompatibilityService.assess_detection_qa(historical, historical_reference)
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assert result["status"] == "compatible"
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assert result["candidate_historical"] is True
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assert result["candidate_interval"]["start"].startswith("2020-01-01")
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assert result["reference_interval"]["start"].startswith("2020-06-01")
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def test_current_source_with_unbounded_current_reference_remains_supported() -> None:
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current = dataset(
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dataset_type="raster",
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source_name="digitaal_vlaanderen_orthophoto",
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observed_at=datetime(2026, 7, 17, tzinfo=UTC),
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valid_from=datetime(2026, 7, 17, tzinfo=UTC),
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temporal_granularity="snapshot",
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source_metadata={"product_key": "most_recent", "supports_detection": True},
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)
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current_reference = dataset(
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dataset_type="vector",
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source_name="grb",
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observed_at=datetime(2026, 7, 16, tzinfo=UTC),
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temporal_granularity="snapshot",
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)
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TemporalCompatibilityService.ensure_detection_source_supported(current)
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result = TemporalCompatibilityService.assess_detection_qa(current, current_reference)
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assert result["status"] == "compatible"
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assert result["candidate_historical"] is False
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def test_detection_frontend_has_no_implicit_first_raster_fallback() -> None:
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source = (ROOT / "frontend" / "src" / "hooks" / "useDetectionWorkflow.ts").read_text(encoding="utf-8")
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assert "rasterDatasets[0]" not in source
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assert "setSelectedDetectionDatasetId(rasterDatasets" not in source
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assert "const datasetId = selectedDetectionDatasetId" in source
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