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 "f1: 0.5824578631584316" in source
    assert "f1: 0.5432865390636915" in source
    assert "maxBackgroundDetections: 0" in source
    assert "pure-empty gate passed" in source
    assert "1,571 fewer false negatives" in source
    assert "higher false-positive review load" in source


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

    assert "DETECTION_OPERATOR_PROFILES" in lab
    assert "Gevalideerde 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