from pathlib import Path
from tests.frontend_contract import read_feature


ROOT = Path(__file__).resolve().parents[2]


def test_detection_operator_profiles_define_explicit_historical_yolo_controls_without_promotion_claim() -> None:
    profiles = ROOT / "frontend" / "src" / "components" / "detection" / "detectionProfiles.ts"
    source = profiles.read_text(encoding="utf-8")

    assert "DETECTION_OPERATOR_PROFILES" in source
    assert "geointel-building-yolov8s-smallbld-minpx3-img640-ft30-pt" in source
    assert "geointel-building-yolov8s-aoi1024expandedminpx4vis035e50-pt" in source
    assert "geointel-building-yolov8s-aoi1024bg512r3e50-pt" in source
    assert "small-building-balanced-review" in source
    assert "expanded-balanced-review" in source
    assert "conservative-review" in source
    assert "confidenceThreshold: 0.15" in source
    assert "confidenceThreshold: 0.35" in source
    assert "defaultApproved" not in source
    assert "promotionRecommendation" not in source
    assert "independentTestProven: false" in source
    assert "positiveSampleCount: 7" in source
    # The figures themselves are checked against the evidence record in
    # tests/test_detection_profile_metrics_are_traceable.py. Pinning them as
    # literals here is what kept an unsourced precision in the product.
    assert "maxBackgroundDetections: 0" in source
    assert "maxBackgroundDetections: 55" in source
    assert "backgroundGate:" in source
    assert "Slechts drie pure-achtergrondbeelden" in source
    assert "ruimtelijke onafhankelijkheid niet bewezen" in source
    assert "controlekandidaat en niet als grondwaarheid" in source


def test_detection_lab_surfaces_profiles_as_deliberate_operator_actions() -> None:
    lab = "\n".join(
        (
            (ROOT / "frontend" / "src" / "components" / "detection" / "DetectionLab.tsx").read_text(encoding="utf-8"),
            (ROOT / "frontend" / "src" / "components" / "detection" / "DetectionModelManagement.tsx").read_text(encoding="utf-8"),
        )
    )

    assert "DETECTION_OPERATOR_PROFILES" in lab
    assert "Historische YOLO-controleprofielen" in lab
    assert "profile.displayName" in lab
    assert "profile.confidenceThreshold" in lab
    assert "historisch, geen releasebewijs" in lab
    assert "historische F1" in lab
    assert "Profiel gebruiken" in lab
    assert "onApplyOperatorProfile(profile)" in lab
    assert "Recommended starting threshold: 0.25" not in lab


def test_detection_workflow_applies_profiles_without_selecting_the_first_arbitrary_asset() -> None:
    hook = (ROOT / "frontend" / "src" / "hooks" / "useDetectionWorkflow.ts").read_text(encoding="utf-8")
    app = read_feature("shell")

    assert "applyDetectionOperatorProfile" in hook
    assert "setSelectedDetectionModelId('yolo-configured')" in hook
    assert "setSelectedModelAssetId(profile.modelAssetId)" in hook
    assert "setDetectionConfidenceThreshold(profile.confidenceThreshold)" in hook
    assert "setSelectedModelAssetId(assetResponse.items[0]" not in hook
    assert "onApplyOperatorProfile={applyDetectionOperatorProfile}" in app