fix: Remove dead Flask-era code, fix lint errors, add docs/assets fal…

README.md

@@ -4,7 +4,7 @@
 
 ### A research-oriented framework for rare-event financial transaction surveillance using temporal, behavioral, and network signals.
 
-**Python · XGBoost · scikit-learn · DuckDB · SHAP · Flask**
+**Python · XGBoost · scikit-learn · DuckDB · SHAP · FastAPI**
 
 </div>
 

scripts/generate_report_figures.py

@@ -6,15 +6,13 @@
 
 import joblib
 import matplotlib.pyplot as plt
-import numpy as np
 import pandas as pd
-from sklearn.metrics import roc_curve, precision_recall_curve, auc
+from sklearn.metrics import auc, precision_recall_curve, roc_curve
 
 PROJECT_ROOT = Path(__file__).resolve().parents[1]
 sys.path.insert(0, str(PROJECT_ROOT))
 
 from src.logging_config import setup_logging
-from src.models.calibration import ProbabilityCalibrator
 from src.models.train import MODEL_FEATURES, TARGET, temporal_split
 
 logger = setup_logging(__name__)

scripts/train_model.py

@@ -307,9 +307,9 @@ def main():
 
     logger.info(f"Saving model artifact to {args.artifact}...")
     joblib.dump(artifact, args.artifact)
-    logger.info(f"Model saved successfully")
+    logger.info("Model saved successfully")
 
-    logger.info(f"Writing metrics report...")
+    logger.info("Writing metrics report...")
     report_path = PROJECT_ROOT / "reports/model_metrics.json"
     report_path.parent.mkdir(parents=True, exist_ok=True)
     report = {

src/api/main.py

@@ -22,8 +22,8 @@
 )
 from src.api.results_loader import (
     get_ablation_results,
-    get_typology_results,
     get_all_figures,
+    get_typology_results,
 )
 
 PROJECT_ROOT = Path(__file__).resolve().parents[2]

src/api/models.py

@@ -1,6 +1,7 @@
 """Pydantic models for API request/response validation."""
 
-from typing import Optional, Dict, Any
+from typing import Any, Dict, Optional
+
 from pydantic import BaseModel, Field