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at this point i want to be done so no commit quality for you

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This commit is contained in:
ShovinDsouza
2025-11-07 16:08:40 +05:30
parent c239d86bd8
commit 8ab92c2de3
7 changed files with 2020 additions and 120 deletions
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36
api/routers/analyze.py
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@@ -97,6 +97,10 @@ async def analyze_dataset(file: UploadFile = File(...)):
analyzer.save_report(report, full_report_path)
# Prepare response with summary
bias_analysis = report.get("bias_analysis", {})
model_metrics = report.get("model_performance", {}).get("metrics", {})
risk_assessment = report.get("risk_assessment", {})
response_data = {
"status": "success",
"filename": file.filename,
@@ -106,29 +110,35 @@ async def analyze_dataset(file: UploadFile = File(...)):
"features": list(df.columns)
},
"model_performance": {
"accuracy": report.get("model_metrics", {}).get("accuracy", 0),
"precision": report.get("model_metrics", {}).get("precision", 0),
"recall": report.get("model_metrics", {}).get("recall", 0),
"f1_score": report.get("model_metrics", {}).get("f1_score", 0)
"accuracy": model_metrics.get("accuracy", 0),
"precision": model_metrics.get("precision", 0),
"recall": model_metrics.get("recall", 0),
"f1_score": model_metrics.get("f1_score", 0)
},
"bias_metrics": {
"overall_bias_score": report.get("bias_metrics", {}).get("overall_bias_score", 0),
"disparate_impact": report.get("bias_metrics", {}).get("disparate_impact", {}),
"statistical_parity": report.get("bias_metrics", {}).get("statistical_parity_difference", {}),
"violations_detected": report.get("bias_metrics", {}).get("fairness_violations", [])
"overall_bias_score": bias_analysis.get("overall_bias_score", 0),
"disparate_impact": bias_analysis.get("fairness_metrics", {}),
"statistical_parity": bias_analysis.get("fairness_metrics", {}),
"violations_detected": bias_analysis.get("fairness_violations", [])
},
"risk_assessment": {
"overall_risk_score": report.get("risk_metrics", {}).get("overall_risk_score", 0),
"privacy_risks": report.get("risk_metrics", {}).get("privacy_risks", []),
"ethical_risks": report.get("risk_metrics", {}).get("ethical_risks", []),
"compliance_risks": report.get("risk_metrics", {}).get("compliance_risks", []),
"data_quality_risks": report.get("risk_metrics", {}).get("data_quality_risks", [])
"overall_risk_score": risk_assessment.get("overall_risk_score", 0),
"privacy_risks": risk_assessment.get("privacy_risks", []),
"ethical_risks": risk_assessment.get("ethical_risks", []),
"compliance_risks": risk_assessment.get("risk_categories", {}).get("compliance_risks", []),
"data_quality_risks": risk_assessment.get("risk_categories", {}).get("data_quality_risks", [])
},
"recommendations": report.get("recommendations", []),
"report_file": f"/{report_path}",
"timestamp": datetime.now().isoformat()
}
# Debug: Print bias metrics being sent to frontend
print(f"\n📊 Sending bias metrics to frontend:")
print(f" Overall Bias Score: {response_data['bias_metrics']['overall_bias_score']:.3f}")
print(f" Violations: {len(response_data['bias_metrics']['violations_detected'])}")
print(f" Fairness Metrics: {len(response_data['bias_metrics']['disparate_impact'])} attributes")
# Convert all numpy/pandas types to native Python types
response_data = convert_to_serializable(response_data)