Initial commit: existing turf_saas codebase

Co-Authored-By: Paperclip <noreply@paperclip.ing>
2026-04-25 17:18:43 +02:00
commit ed07c8a3d1
137 changed files with 36398 additions and 0 deletions
--- a/compare_predictions.py
+++ b/compare_predictions.py
@@ -0,0 +1,68 @@
+#!/usr/bin/env python3
+"""
+Compare Grok vs Our predictions
+"""
+import sqlite3
+from datetime import datetime
+
+DB_PATH = "/home/h3r7/turf_scraper/turf.db"
+
+def add_grok_prediction(date, race_name, horse_name, odds, rank):
+    conn = sqlite3.connect(DB_PATH)
+    c = conn.cursor()
+    c.execute('''
+        INSERT INTO grok_predictions (date, race_name, horse_name, odds, rank)
+        VALUES (?, ?, ?, ?, ?)
+    ''', (date, race_name, horse_name, odds, rank))
+    conn.commit()
+    conn.close()
+    print(f"Added: {horse_name}")
+
+def compare_predictions(date):
+    conn = sqlite3.connect(DB_PATH)
+    c = conn.cursor()
+    
+    print(f"\n{'='*50}")
+    print(f"COMPARAISON - {date}")
+    print(f"{'='*50}")
+    
+    # Our predictions
+    print("\n[NOS PREDICTIONS]")
+    c.execute("SELECT horse_name, odds, prediction_rank FROM predictions WHERE date = ? ORDER BY prediction_rank", (date,))
+    our_preds = c.fetchall()
+    for name, odds, rank in our_preds:
+        print(f"  {rank}. {name} (cote: {odds})")
+    
+    # Grok predictions
+    print("\n[PREDICTIONS GROK]")
+    c.execute("SELECT horse_name, odds, rank FROM grok_predictions WHERE date = ? ORDER BY rank", (date,))
+    grok_preds = c.fetchall()
+    for name, odds, rank in grok_preds:
+        print(f"  {rank}. {name} (cote: {odds})")
+    
+    # Results (if available)
+    print("\n[RÉSULTATS]")
+    c.execute("SELECT horse_name, position FROM results WHERE date = ? AND position <= 5", (date,))
+    results = c.fetchall()
+    for name, pos in results:
+        print(f"  {pos}. {name}")
+    
+    # Comparison
+    if our_preds and grok_preds and results:
+        result_names = [r[0] for r in results]
+        
+        our_hits = sum(1 for p in our_preds if p[0] in result_names[:3])
+        grok_hits = sum(1 for p in grok_preds if p[0] in result_names[:3])
+        
+        print(f"\n[SCORE]")
+        print(f"  Nos picks dans les 3 premiers: {our_hits}/3")
+        print(f"  Grok picks dans les 3 premiers: {grok_hits}/3")
+    
+    conn.close()
+
+if __name__ == "__main__":
+    import sys
+    if len(sys.argv) > 1:
+        compare_predictions(sys.argv[1])
+    else:
+        compare_predictions(datetime.now().strftime('%Y-%m-%d'))