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Map confidence level strings to numeric values for detection results

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Converts 'high', 'medium', and 'low' confidence levels to their corresponding numeric values (95.0, 75.0, 50.0) before saving detection results to the database, resolving an invalid input syntax error for type numeric.

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marco370 2025-11-25 09:34:44 +00:00
parent 2192607bf6
commit f0d391b2a1
1 changed files with 7 additions and 1 deletions
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8
python_ml/main.py
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@ -323,7 +323,13 @@ async def detect_anomalies(request: DetectRequest):
detections = ml_detector.detect(df, mode='confidence') detections = ml_detector.detect(df, mode='confidence')
# Convert to legacy format for compatibility # Convert to legacy format for compatibility
for det in detections: for det in detections:
det['confidence'] = det['confidence_level'] # Map confidence_level to confidence # Map confidence_level string to numeric value for database
confidence_mapping = {
'high': 95.0,
'medium': 75.0,
'low': 50.0
}
det['confidence'] = confidence_mapping.get(det['confidence_level'], 50.0)
else: else:
print("[DETECT] Using Legacy ML Analyzer") print("[DETECT] Using Legacy ML Analyzer")
detections = ml_analyzer.detect(df, risk_threshold=request.risk_threshold) detections = ml_analyzer.detect(df, risk_threshold=request.risk_threshold)