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

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"""
Adaptive 500 Match Backtest
=============================
Skips NO match unless NO odds exist.
Evaluates ALL available markets (MS, OU, BTTS) and picks the BEST value bet.
"""
import os
import sys
import json
import time
import psycopg2
from psycopg2.extras import RealDictCursor
AI_DIR = os.path.dirname(os.path.abspath(__file__))
ROOT_DIR = os.path.dirname(AI_DIR)
sys.path.insert(0, ROOT_DIR)
if "scripts" in os.path.basename(AI_DIR):
ROOT_DIR = os.path.dirname(ROOT_DIR)
from services.single_match_orchestrator import get_single_match_orchestrator
def get_clean_dsn() -> str:
return "postgresql://suggestbet:SuGGesT2026SecuRe@localhost:15432/boilerplate_db"
def run_adaptive_backtest():
print("🔄 ADAPTIVE 500 MATCH BACKTEST")
print("="*60)
# 1. Load Top Leagues
leagues_path = os.path.join(ROOT_DIR, "top_leagues.json")
with open(leagues_path, 'r') as f:
top_leagues = json.load(f)
league_ids = tuple(str(lid) for lid in top_leagues)
dsn = get_clean_dsn()
conn = psycopg2.connect(dsn)
cur = conn.cursor(cursor_factory=RealDictCursor)
# 2. Fetch 500 Finished Matches with Odds
cur.execute("""
SELECT m.id, m.match_name, m.home_team_id, m.away_team_id,
m.score_home, m.score_away, m.league_id,
t1.name as home_team, t2.name as away_team
FROM matches m
LEFT JOIN teams t1 ON m.home_team_id = t1.id
LEFT JOIN teams t2 ON m.away_team_id = t2.id
WHERE m.league_id IN %s
AND m.status = 'FT'
AND m.score_home IS NOT NULL
AND EXISTS (SELECT 1 FROM odd_categories oc WHERE oc.match_id = m.id)
ORDER BY m.mst_utc DESC
LIMIT 500
""", (league_ids,))
rows = cur.fetchall()
print(f"📊 Found {len(rows)} matches. Analyzing...\n")
if not rows:
print("⚠️ No matches found.")
return
try: orchestrator = get_single_match_orchestrator()
except Exception as e:
print(f"❌ AI Error: {e}")
return
# Stats
total_evaluated = 0
total_bet = 0
total_won = 0
total_profit = 0.0
skipped_count = 0
for i, row in enumerate(rows):
match_id = str(row['id'])
home = row['home_team'] or "?"
away = row['away_team'] or "?"
h_score = row['score_home'] or 0
a_score = row['score_away'] or 0
total_evaluated += 1
# print(f"[{i+1}] {home} vs {away} ... ", end="", flush=True)
try:
pred = orchestrator.analyze_match(match_id)
if not pred:
# print("⚠️ No Data")
continue
# ─── ADAPTIVE PICKING ───
# Check ALL recommendations (Expert or Standard) to find the BEST option
candidates = []
# Add main picks
if pred.get("expert_recommendation"):
rec = pred["expert_recommendation"]
if rec.get("main_pick"): candidates.append(rec["main_pick"])
if rec.get("safe_alternative"): candidates.append(rec["safe_alternative"])
if rec.get("value_picks"): candidates.extend(rec["value_picks"])
elif pred.get("main_pick"):
candidates.append(pred["main_pick"])
best_bet = None
for c in candidates:
if not c: continue
conf = c.get("confidence", 0)
odds = c.get("odds", 0)
pick = c.get("pick")
# Flexible Criteria:
# 1. Confidence > 60%
# 2. Odds > 1.10 (Not "free" odds like 1.00)
# 3. Edge > -2% (Slightly tolerant)
if conf >= 60 and odds > 1.10:
implied = 1.0 / odds
edge = ((conf/100) - implied) * 100
# Prioritize positive edge, but accept small negative if confidence is high
if edge > -2.0:
if best_bet is None or (conf > best_bet.get("confidence", 0)):
best_bet = c
if best_bet:
pick = str(best_bet.get("pick")).upper()
conf = best_bet.get("confidence")
odds = best_bet.get("odds")
# Resolution Logic
won = False
if pick in ["1", "MS 1", "İY 1"] and h_score > a_score: won = True
elif pick in ["X", "MS X", "İY X"] and h_score == a_score: won = True
elif pick in ["2", "MS 2", "İY 2"] and a_score > h_score: won = True
elif pick in ["1X", "X2"]:
if "1X" in pick and h_score >= a_score: won = True
elif "X2" in pick and a_score >= h_score: won = True
elif pick == "12" and h_score != a_score: won = True
elif "ÜST" in pick or "OVER" in pick:
line = 2.5
if "1.5" in pick: line = 1.5
elif "3.5" in pick: line = 3.5
if (h_score + a_score) > line: won = True
elif "ALT" in pick or "UNDER" in pick:
line = 2.5
if "1.5" in pick: line = 1.5
elif "3.5" in pick: line = 3.5
if (h_score + a_score) < line: won = True
elif "VAR" in pick and h_score > 0 and a_score > 0: won = True
elif "YOK" in pick and (h_score == 0 or a_score == 0): won = True
total_bet += 1
if won:
total_won += 1
profit = odds - 1.0
total_profit += profit
# print(f"✅ WON (+{profit:.2f}) | {pick}")
else:
total_profit -= 1.0
# print(f"❌ LOST ({pick} @ {odds:.2f})")
else:
skipped_count += 1
# print(f"🚫 SKIP (No Value)")
except Exception as e:
# print(f"💥 Error: {e}")
pass
print("\n" + "="*60)
print("🔄 ADAPTIVE BACKTEST RESULTS (500 Matches)")
print("="*60)
print(f"📊 Evaluated: {total_evaluated}")
print(f"🎲 Played: {total_bet}")
print(f"🚫 Skipped: {skipped_count}")
print(f"✅ Won: {total_won}")
if total_bet > 0:
win_rate = (total_won / total_bet) * 100
roi = (total_profit / total_bet) * 100
print(f"📈 Win Rate: {win_rate:.2f}%")
print(f"💰 Total Profit: {total_profit:.2f} Units")
print(f"📊 ROI: {roi:.2f}%")
if total_profit > 0: print("🟢 KARLI STRATEJİ")
else: print("🔴 ZARARDA")
else:
print("⚠️ Hiç bahis oynanmadı. Veri kalitesi çok düşük.")
cur.close()
conn.close()
if __name__ == "__main__":
run_adaptive_backtest()