first (part 2: other directories)

ai-engine/scripts/compute_elo.py

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+#!/usr/bin/env python3
+"""
+Standalone ELO computation script.
+
+Usage:
+  python scripts/compute_elo.py                # football only
+  python scripts/compute_elo.py --sport basketball
+  python scripts/compute_elo.py --sport all    # football + basketball
+
+Designed for cron or manual execution.
+Calculates ELO ratings from match history and persists to both JSON and DB.
+"""
+
+import os
+import sys
+import time
+import argparse
+
+# Add ai-engine root to path
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+
+from features.elo_system import ELORatingSystem
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Compute ELO ratings from match history")
+    parser.add_argument(
+        "--sport",
+        choices=["football", "basketball", "all"],
+        default="football",
+        help="Sport to compute ELO for (default: football)",
+    )
+    args = parser.parse_args()
+
+    sports = ["football", "basketball"] if args.sport == "all" else [args.sport]
+
+    for sport in sports:
+        print(f"\n{'='*60}")
+        print(f"🏆 Computing ELO ratings for: {sport.upper()}")
+        print(f"{'='*60}")
+
+        start = time.time()
+
+        system = ELORatingSystem()
+        system.calculate_all_from_history(sport)
+
+        elapsed = time.time() - start
+
+        print(f"\n✅ {sport} ELO computation completed in {elapsed:.1f}s")
+        print(f"   Teams rated: {len(system.ratings)}")
+
+        if system.ratings:
+            top = sorted(
+                system.ratings.values(),
+                key=lambda r: r.overall_elo,
+                reverse=True,
+            )[:5]
+            print("   Top 5:")
+            for i, t in enumerate(top, 1):
+                print(f"     {i}. {t.team_name:25} → {t.overall_elo:.0f}")
+
+
+if __name__ == "__main__":
+    main()