"""Print the full model_summary block the API will emit at the end of
every detection that runs the iforest. Verifies every key the planning
doc promises is populated and well-formed.
"""
import json
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])

# Cover all three modes.
for label, kwargs in [
    ("Rules-only",  {"use_model": False, "run_rules": True}),
    ("AI-only",     {"use_model": True,  "run_rules": False}),
    ("Both",        {"use_model": True,  "run_rules": True}),
]:
    # Reset tracking between modes.
    det.anomalies = []
    det.rows_with_anomalies = set()
    det.row_anomaly_map.clear()
    det.row_anomaly_reasons.clear()
    det.row_anomaly_attribution.clear()
    det.subscriber_anomalies.clear()

    det.detect_anomalies(**kwargs)
    stats = det.get_statistics()
    print(f"\n=== {label} ({kwargs}) ===")
    print(f"total_anomalies_detected: {stats.total_anomalies_detected}")
    print(f"anomaly_types           : {stats.anomaly_types}")
    print(f"model_feature_drivers   : {stats.model_feature_drivers}")
    print("model_summary:")
    print(json.dumps(stats.model_summary, indent=2, default=str))