first (part 2: other directories)

scripts/check_finished_with_odds.py

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+#!/usr/bin/env python3
+"""Check finished football matches with odds"""
+
+import sys
+sys.path.insert(0, 'ai-engine')
+
+import psycopg2
+from psycopg2.extras import RealDictCursor
+from datetime import datetime, timezone
+
+# Read .env file manually
+db_url = None
+with open('.env') as f:
+    for line in f:
+        if line.startswith('DATABASE_URL'):
+            db_url = line.split('=', 1)[1].strip().strip('"').strip("'")
+            break
+
+if '?schema=' in db_url:
+    db_url = db_url.split('?schema=')[0]
+
+conn = psycopg2.connect(db_url)
+cur = conn.cursor(cursor_factory=RealDictCursor)
+
+# Get matches with odds data
+cur.execute('''
+SELECT 
+    m.id, m.score_home, m.score_away, m.ht_score_home, m.ht_score_away,
+    m.mst_utc,
+    ht.name as home_team_name,
+    at.name as away_team_name,
+    l.name as league_name,
+    o.ms_h, o.ms_d, o.ms_a
+FROM matches m
+JOIN teams ht ON ht.id = m.home_team_id
+JOIN teams at ON at.id = m.away_team_id
+JOIN leagues l ON l.id = m.league_id
+LEFT JOIN odds o ON o.match_id = m.id
+WHERE l.sport = 'football'
+AND m.score_home IS NOT NULL
+AND o.ms_h IS NOT NULL
+ORDER BY m.mst_utc DESC
+LIMIT 30
+''')
+
+matches = cur.fetchall()
+print('Last 30 finished football matches with odds:')
+print()
+
+for m in matches:
+    ts = m['mst_utc'] / 1000
+    dt = datetime.fromtimestamp(ts, tz=timezone.utc)
+    score = 'HT: {}-{}, FT: {}-{}'.format(m['ht_score_home'], m['ht_score_away'], m['score_home'], m['score_away'])
+    odds = 'Odds: H={:.2f} D={:.2f} A={:.2f}'.format(float(m['ms_h'] or 0), float(m['ms_d'] or 0), float(m['ms_a'] or 0))
+    league = (m['league_name'] or 'Unknown')[:15]
+    home = (m['home_team_name'] or 'Unknown')[:15]
+    away = (m['away_team_name'] or 'Unknown')[:15]
+    print('{} | {:15} | {:15} vs {:15} | {} | {}'.format(dt.strftime('%Y-%m-%d %H:%M'), league, home, away, score, odds))
+
+cur.close()
+conn.close()