from pathlib import Path
from tests.frontend_contract import read_feature


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


def test_detection_lab_has_guided_threshold_calibration_runner() -> None:
    hook = ROOT / "frontend" / "src" / "hooks" / "useDetectionWorkflow.ts"
    lab = ROOT / "frontend" / "src" / "components" / "detection" / "DetectionLab.tsx"
    todo = ROOT / "docs" / "TODO.md"

    hook_source = hook.read_text(encoding="utf-8")
    lab_source = lab.read_text(encoding="utf-8")
    app_source = read_feature("shell")
    todo_source = todo.read_text(encoding="utf-8")

    assert "interface DetectionCalibrationRunRow" in hook_source
    assert "parseCalibrationThresholds" in hook_source
    assert "calibrationThresholdText" in hook_source
    assert "runningDetectionCalibration" in hook_source
    assert "detectionCalibrationRows" in hook_source
    assert "detectionCalibrationError" in hook_source
    assert "runDetectionCalibration" in hook_source
    assert "executeDetection(" in hook_source
    # Every requested threshold is reported, but from one inference pass at the
    # lowest cut: detections above a higher cut are a subset of it, and
    # suppression walks candidates in descending confidence, so the kept set
    # above a cut does not depend on the threshold the run used. Asserting the
    # old per-threshold loop pinned N GPU passes that produced identical numbers.
    assert "lowestThreshold," in hook_source
    assert "calibration_thresholds: thresholds" in hook_source
    assert "calibration_sweep" in hook_source
    assert "{ calibration: true, calibration_thresholds: thresholds }," in hook_source
    assert "detectionApi.compareWithReference(result.analysis_run_id" in hook_source
    assert "reference_dataset_id: referenceDatasetId" in hook_source
    assert "Kies eerst een referentiebron om te kalibreren" in hook_source
    assert "Geef minstens één geldige drempel tussen 0 en 1 op" in hook_source
    assert "Kalibratie met YOLO vereist een beeldtegelmanifest" in hook_source
    assert "Kies eerst een lokaal modelbestand om te kalibreren" in hook_source

    assert "Modelkalibratie voor beheerders" in lab_source
    assert "Voert het lokale model en een kwaliteitscontrole uit" in lab_source
    assert "Zekerheidsdrempels" in lab_source
    assert "Drempels vergelijken" in lab_source
    assert "Voortgang modelkalibratie" in lab_source
    assert "detectionCalibrationRows.map" in lab_source
    assert "runningDetectionCalibration" in lab_source
    assert "detectionCalibrationError" in lab_source
    assert "onRunCalibration" in lab_source
    assert "onSetCalibrationThresholdText" in lab_source

    assert "calibrationThresholdText={calibrationThresholdText}" in app_source
    assert "runningDetectionCalibration={runningDetectionCalibration}" in app_source
    assert "detectionCalibrationRows={detectionCalibrationRows}" in app_source
    assert "onRunCalibration={runDetectionCalibration}" in app_source
    assert "[x] Add guided in-app detection calibration runner" in todo_source