feat: complete Day 2 handoff with API service, PM2 process daemons, and test suites

update_ranking_and_anomalies.py

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+"""
+update_ranking_and_anomalies.py
+Synchronizes all multi-platform metrics through HIFFIRankingEngine.
+Re-computes XP scores, dynamic weights, statistical anomaly flags, and published ranks.
+"""
+
+from pathlib import Path
+import pandas as pd
+
+from core.ranking_engine import HIFFIRankingEngine
+
+DATA_PATH = Path("data/hiffi_multiplatform_500.csv")
+
+
+def run_ranking_update():
+    if not DATA_PATH.exists():
+        print(f"File not found: {DATA_PATH}")
+        return
+
+    df = pd.read_csv(DATA_PATH)
+    print(f"Loaded master dataset with {len(df)} artists.")
+
+    engine = HIFFIRankingEngine()
+
+    print("[1/4] Calculating baseline production rankings...")
+    df = engine.score_and_rank(df)
+
+    print("[2/4] Computing HIFFI-XP composite scores & dynamic weight redistribution...")
+    df = engine.calculate_hiffi_xp(df)
+
+    print("[3/4] Running statistical anomaly detection...")
+    df = engine.detect_metric_anomalies(df)
+
+    print("[4/4] Applying publication eligibility gates & tier constraints...")
+    df = engine.apply_publication_eligibility_gates(df)
+
+    # Clean display types
+    if "hiffi_xp_published_rank" in df.columns:
+        df["hiffi_xp_published_rank"] = df["hiffi_xp_published_rank"].astype(int)
+
+    df.to_csv(DATA_PATH, index=False)
+
+    anomaly_counts = (df["anomaly_flags"] != "CLEAN").sum()
+    tier_counts = df["platform_evidence_tier"].value_counts().to_dict()
+
+    print("\n==========================================")
+    print("Multi-Platform Ranking & Anomaly Sync Complete!")
+    print(f"Evidence Tiers Distribution: {tier_counts}")
+    print(f"Statistical Anomalies Detected: {anomaly_counts} (Auditable Outliers)")
+    print(f"Clean Normal Records:          {len(df) - anomaly_counts}")
+    print(f"Master CSV updated: {DATA_PATH}")
+    print("==========================================")
+
+
+if __name__ == "__main__":
+    run_ranking_update()