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58 lines
3.0 KiB
Python
58 lines
3.0 KiB
Python
from pathlib import Path
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ROOT = Path(__file__).resolve().parents[2]
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def test_detection_lab_has_guided_threshold_calibration_runner() -> None:
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hook = ROOT / "frontend" / "src" / "hooks" / "useDetectionWorkflow.ts"
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lab = ROOT / "frontend" / "src" / "components" / "detection" / "DetectionLab.tsx"
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app = ROOT / "frontend" / "src" / "WorkbenchApp.tsx"
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todo = ROOT / "docs" / "TODO.md"
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hook_source = hook.read_text(encoding="utf-8")
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lab_source = lab.read_text(encoding="utf-8")
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app_source = app.read_text(encoding="utf-8")
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todo_source = todo.read_text(encoding="utf-8")
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assert "interface DetectionCalibrationRunRow" in hook_source
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assert "parseCalibrationThresholds" in hook_source
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assert "calibrationThresholdText" in hook_source
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assert "runningDetectionCalibration" in hook_source
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assert "detectionCalibrationRows" in hook_source
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assert "detectionCalibrationError" in hook_source
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assert "runDetectionCalibration" in hook_source
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assert "detectionApi.runAsync(request)" in hook_source
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# Every requested threshold is reported, but from one inference pass at the
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# lowest cut: detections above a higher cut are a subset of it, and
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# suppression walks candidates in descending confidence, so the kept set
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# above a cut does not depend on the threshold the run used. Asserting the
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# old per-threshold loop pinned N GPU passes that produced identical numbers.
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assert "lowestThreshold," in hook_source
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assert "calibration_thresholds: thresholds" in hook_source
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assert "calibration_sweep" in hook_source
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assert "{ calibration: true, calibration_thresholds: thresholds }," in hook_source
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assert "detectionApi.compareWithReference(result.analysis_run_id" in hook_source
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assert "reference_dataset_id: referenceDatasetId" in hook_source
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assert "Kies eerst een referentiebron om te kalibreren" in hook_source
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assert "Geef minstens één geldige drempel tussen 0 en 1 op" in hook_source
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assert "Kalibratie met YOLO vereist een beeldtegelmanifest" in hook_source
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assert "Kies eerst een lokaal modelbestand om te kalibreren" in hook_source
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assert "Modelkalibratie voor beheerders" in lab_source
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assert "Voert het lokale model en een kwaliteitscontrole uit" in lab_source
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assert "Zekerheidsdrempels" in lab_source
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assert "Drempels vergelijken" in lab_source
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assert "Voortgang modelkalibratie" in lab_source
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assert "detectionCalibrationRows.map" in lab_source
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assert "runningDetectionCalibration" in lab_source
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assert "detectionCalibrationError" in lab_source
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assert "onRunCalibration" in lab_source
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assert "onSetCalibrationThresholdText" in lab_source
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assert "calibrationThresholdText={calibrationThresholdText}" in app_source
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assert "runningDetectionCalibration={runningDetectionCalibration}" in app_source
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assert "detectionCalibrationRows={detectionCalibrationRows}" in app_source
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assert "onRunCalibration={runDetectionCalibration}" in app_source
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assert "[x] Add guided in-app detection calibration runner" in todo_source
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