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| """One-off: load a CSV via the real reader, run the detector with | |
| use_model=True, and print: | |
| - the new categorised method names + per-row attribution, | |
| - the aggregate `model_feature_drivers` map from get_statistics() | |
| (the shape the frontend will chart). | |
| """ | |
| import sys | |
| from pathlib import Path | |
| sys.path.insert(0, str(Path(__file__).parent)) | |
| from telecom_anomaly.core.detector import TelecomAnomalyDetector | |
| from telecom_anomaly.core.models import TelecomConfig | |
| CSV = ( | |
| r"C:\my_project\work\GH_Police\main project\backend" | |
| r"\telecom_anomaly_detection\data\strictly_cleaned_data" | |
| r"\591296805 calls (1)_strictly_cleaned.csv" | |
| ) | |
| cfg = TelecomConfig() | |
| det = TelecomAnomalyDetector(cfg) | |
| det.load_data([CSV]) | |
| det.detect_anomalies(use_model=True) | |
| stats = det.get_statistics() | |
| print(f"\nTotal anomalies: {stats.total_anomalies_detected}") | |
| print(f"Rows with anomalies: {stats.rows_with_anomalies}") | |
| print(f"\nanomaly_types (rule + model categories combined):") | |
| for k, v in sorted(stats.anomaly_types.items(), key=lambda x: -x[1]): | |
| print(f" {v:4d} {k}") | |
| print(f"\nmodel_feature_drivers (top-driver counts across all AI flags):") | |
| for k, v in sorted(stats.model_feature_drivers.items(), key=lambda x: -x[1]): | |
| print(f" {v:4d} {k}") | |
| print(f"\nSample AI-flagged rows with category + reason + structured attribution:") | |
| shown = 0 | |
| for orig_idx, methods in det.row_anomaly_map.items(): | |
| ai = [(i, m) for i, m in enumerate(methods) if m.startswith('AI:')] | |
| if not ai or shown >= 5: | |
| continue | |
| i, method = ai[0] | |
| reason = det.row_anomaly_reasons[orig_idx][i] | |
| attribution = det.row_anomaly_attribution[orig_idx][i] | |
| row = det.original_data[orig_idx] | |
| print(f"\n row {orig_idx}: {row.get('event_date')} {row.get('event_time')} " | |
| f"dur={row.get('duration')}") | |
| print(f" method : {method}") | |
| print(f" reason : {reason}") | |
| print(f" attribution: {attribution}") | |
| shown += 1 | |