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Deploy Iddaai Backend / build-and-deploy (push) Failing after 18s

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2026-04-16 15:11:25 +03:00
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import os
import psycopg2
from psycopg2.extras import RealDictCursor
def inspect_odds():
try:
db_url = os.environ.get('DATABASE_URL', 'postgresql://suggestbet:SuGGesT2026SecuRe@localhost:15432/boilerplate_db')
conn = psycopg2.connect(db_url)
cursor = conn.cursor(cursor_factory=RealDictCursor)
print("\n🔍 ODDS COVERAGE INSPECTION\n")
# 1. Total Scored Football Matches
cursor.execute("SELECT COUNT(*) as count FROM matches WHERE sport='football' AND score_home IS NOT NULL")
total_matches = cursor.fetchone()['count']
print(f"Total Scored Matches: {total_matches:,}")
# 2. Matches with Link to Odds Category
cursor.execute("""
SELECT COUNT(DISTINCT m.id) as count
FROM matches m
JOIN odd_categories oc ON m.id = oc.match_id
WHERE m.sport='football' AND m.score_home IS NOT NULL
""")
odds_linked_count = cursor.fetchone()['count']
print(f"Matches with ANY Odds Linked: {odds_linked_count:,} ({odds_linked_count/total_matches*100:.1f}%)")
# 3. Matches with Actual Odds Values
# Check if selections exist and have values
cursor.execute("""
SELECT COUNT(DISTINCT m.id) as count
FROM matches m
JOIN odd_categories oc ON m.id = oc.match_id
JOIN odd_selections os ON oc.db_id = os.odd_category_db_id
WHERE m.sport='football'
AND m.score_home IS NOT NULL
AND os.odd_value IS NOT NULL
""")
odds_values_count = cursor.fetchone()['count']
print(f"Matches with VALID Odds Values: {odds_values_count:,} ({odds_values_count/total_matches*100:.1f}%)")
# 4. Investigate Discrepancy (Golden vs Odds Only)
print(f"\n💡 Insight: The Golden Dataset was ~28k. This Odds-Only check will show if the bottleneck is Odds (approx {odds_values_count}) or Stats.")
conn.close()
except Exception as e:
print(f"Error: {e}")
if __name__ == "__main__":
inspect_odds()