from pathlib import Path


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


def test_detection_operator_profiles_define_explicit_yolo_candidates_and_promoted_profile() -> 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: true" in source
    assert "promotionRecommendation: 'promote_candidate'" in source
    assert "positiveSampleCount: 7" in source
    assert "precision: 0.6140895327792112" in source
    assert "recall: 0.6062221049337548" in source
    assert "f1: 0.6068607646002744" in source
    assert "f1: 0.5432865390636915" in source
    assert "maxBackgroundDetections: 0" in source
    assert "lege-achtergrondtest is geslaagd" in source
    assert "Postel blijft met 47,5% F1" 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 "Gevalideerde YOLO-profielen" in lab
    assert "profile.displayName" in lab
    assert "profile.confidenceThreshold" in lab
    assert "kandidaat, extra controle vereist" in lab
    assert "standaardprofiel" 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 = (ROOT / "frontend" / "src" / "App.tsx").read_text(encoding="utf-8")

    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