80 lines
2.7 KiB
Python
Executable File
80 lines
2.7 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Compare All Predictions (Our + External Sources)
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"""
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import sqlite3
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from datetime import datetime
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from collections import defaultdict
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DB_PATH = "/home/h3r7/turf_scraper/turf.db"
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def compare_all(date):
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conn = sqlite3.connect(DB_PATH)
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c = conn.cursor()
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print(f"\n{'='*60}")
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print(f"COMPARAISON COMPLÈTE - {date}")
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print(f"{'='*60}")
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# Our predictions
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print("\n[NOTRE SYSTÈME]")
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c.execute("SELECT horse_name, odds, prediction_rank FROM predictions WHERE date = ? ORDER BY prediction_rank", (date,))
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our_preds = c.fetchall()
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for name, odds, rank in our_preds:
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print(f" {rank}. {name} ({odds})")
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# External predictions grouped by source
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c.execute("SELECT DISTINCT source FROM external_predictions WHERE date = ?", (date,))
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sources = [r[0] for r in c.fetchall()]
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for source in sources:
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print(f"\n[{source.upper()}]")
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c.execute("SELECT horse_name, odds, rank, confidence FROM external_predictions WHERE date = ? AND source = ? ORDER BY rank", (date, source))
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preds = c.fetchall()
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for name, odds, rank, conf in preds:
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conf_str = f" ({conf}%)" if conf else ""
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print(f" {rank}. {name} ({odds}){conf_str}")
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# Results
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print("\n[RÉSULTATS]")
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c.execute("SELECT horse_name, position FROM results WHERE date = ? AND position <= 5", (date,))
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results = c.fetchall()
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for name, pos in results:
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print(f" {pos}. {name}")
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# Score
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if results:
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result_names = [r[0] for r in results]
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print(f"\n[SCORE - 3 premiers]")
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# Our system
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our_hits = sum(1 for p in our_preds if p[0] in result_names[:3])
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print(f" Nous: {our_hits}/3")
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# Each source
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for source in sources:
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c.execute("SELECT horse_name FROM external_predictions WHERE date = ? AND source = ? ORDER BY rank", (date, source))
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preds = [r[0] for r in c.fetchall()]
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hits = sum(1 for p in preds if p in result_names[:3])
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print(f" {source}: {hits}/3")
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conn.close()
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def add_external(date, source, race_name, horse_name, odds, rank, confidence=None):
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conn = sqlite3.connect(DB_PATH)
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c = conn.cursor()
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c.execute('''
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INSERT INTO external_predictions (date, source, race_name, horse_name, odds, rank, confidence)
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VALUES (?, ?, ?, ?, ?, ?, ?)
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''', (date, source, race_name, horse_name, odds, rank, confidence))
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conn.commit()
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conn.close()
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if __name__ == "__main__":
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import sys
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if len(sys.argv) > 1:
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compare_all(sys.argv[1])
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else:
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compare_all(datetime.now().strftime('%Y-%m-%d'))
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