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

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"""
Smart Bet Recommender
=====================
Skor tahminine göre akıllı bahis önerileri yapan sistem.
Örnek: Beşiktaş-Galatasaray için model 3-1 tahmin ediyor
→ DÜŞÜK RİSK: 1.5 Üst (yüksek ihtimal tutar)
→ ORTA RİSK: MS 1 + 2.5 Üst (orta ihtimal)
→ YÜKSEK RİSK: 3.5 Üst veya skor 3-1 (düşük ihtimal, yüksek kazanç)
Ayrıca kombinasyonlar:
- MS 1 + 1.5 Üst
- MS 1 + KG Var
- Her iki takım skor > 0.5 (her takım en az 1 gol atar)
"""
from dataclasses import dataclass
from typing import Dict, List, Optional, Tuple
from enum import Enum
class RiskLevel(Enum):
LOW = "LOW" # Yüksek olasılık, düşük oran (güvenli)
MEDIUM = "MEDIUM" # Orta olasılık, orta oran
HIGH = "HIGH" # Düşük olasılık, yüksek kazanç
EXTREME = "EXTREME" # Çok düşük olasılık, çok yüksek kazanç
@dataclass
class BetRecommendation:
"""Tek bir bahis önerisi"""
market: str # Piyasa adı (örn: "MS 1", "2.5 Üst")
pick: str # Seçim (örn: "1", "OVER", "YES")
odds: float # Oran
probability: float # Model olasılığı (0-1)
confidence: float # Güven seviyesi (0-100)
risk_level: RiskLevel
def to_dict(self) -> dict:
return {
"market": self.market,
"pick": self.pick,
"odds": self.odds,
"probability": round(self.probability * 100, 1),
"confidence": round(self.confidence, 1),
"risk_level": self.risk_level.value
}
@dataclass
class MatchPredictionSet:
"""Bir maç için tüm tahmin seti"""
match_name: str
predicted_score: Tuple[int, int] # (home, away)
home_win_prob: float
draw_prob: float
away_win_prob: float
over_15_prob: float
over_25_prob: float
over_35_prob: float
btts_yes_prob: float
# Öneriler
low_risk_bets: List[BetRecommendation]
medium_risk_bets: List[BetRecommendation]
high_risk_bets: List[BetRecommendation]
extreme_risk_bets: List[BetRecommendation]
def to_dict(self) -> dict:
return {
"match_name": self.match_name,
"predicted_score": f"{self.predicted_score[0]}-{self.predicted_score[1]}",
"probs": {
"home_win": round(self.home_win_prob * 100, 1),
"draw": round(self.draw_prob * 100, 1),
"away_win": round(self.away_win_prob * 100, 1),
"over_15": round(self.over_15_prob * 100, 1),
"over_25": round(self.over_25_prob * 100, 1),
"over_35": round(self.over_35_prob * 100, 1),
"btts": round(self.btts_yes_prob * 100, 1)
},
"low_risk": [b.to_dict() for b in self.low_risk_bets],
"medium_risk": [b.to_dict() for b in self.medium_risk_bets],
"high_risk": [b.to_dict() for b in self.high_risk_bets],
"extreme_risk": [b.to_dict() for b in self.extreme_risk_bets]
}
class SmartBetRecommender:
"""
Akıllı Bahis Öneri Sistemi
Skor tahminine göre farklı risk seviyelerinde bahisler önerir.
Mantık:
1. DÜŞÜK RİSK: Yüksek olasılıklı (>70%), düşük oranlı bahisler
- 1.5 Üst
- Double Chance
- Favori takım gol atar
2. ORTA RİSK: Orta olasılıklı (50-70%), orta oranlı bahisler
- MS favori
- 2.5 Üst
- KG Var/Var
3. YÜKSEK RİSK: Düşük olasılıklı (30-50%), yüksek oranlı bahisler
- 3.5 Üst
- Skor tahmini
- Handikap
4. EXTREME RİSK: Çok düşük olasılıklı (<30%), çok yüksek oranlı
- Tam skor
- Uzunluklu kombinasyonlar
"""
# Olasılık eşikleri
PROB_LOW_RISK = 0.70 # > %70 olasılık
PROB_MEDIUM_RISK = 0.50 # %50-70 olasılık
PROB_HIGH_RISK = 0.30 # %30-50 olasılık
# < %30 = EXTREME
def __init__(self):
pass
def _determine_risk(self, probability: float) -> RiskLevel:
"""Olasılığa göre risk seviyesi belirle"""
if probability >= self.PROB_LOW_RISK:
return RiskLevel.LOW
elif probability >= self.PROB_MEDIUM_RISK:
return RiskLevel.MEDIUM
elif probability >= self.PROB_HIGH_RISK:
return RiskLevel.HIGH
else:
return RiskLevel.EXTREME
def _get_favorite(self, home_prob: float, draw_prob: float, away_prob: float) -> Tuple[str, float]:
"""Favori sonucu ve olasılığını döndür"""
if home_prob >= draw_prob and home_prob >= away_prob:
return "1", home_prob
elif away_prob >= home_prob and away_prob >= draw_prob:
return "2", away_prob
else:
return "X", draw_prob
def _calculate_expected_goals(self, predicted_score: Tuple[int, int]) -> float:
"""Tahmin edilen skora göre beklenen gol sayısı"""
return predicted_score[0] + predicted_score[1]
def recommend(
self,
match_name: str,
predicted_score: Tuple[int, int],
probs: Dict[str, float],
odds: Dict[str, float]
) -> MatchPredictionSet:
"""
Maç için tüm bahis önerilerini oluştur.
Args:
match_name: Maç adı
predicted_score: (home_goals, away_goals)
probs: {"home_win": 0.55, "draw": 0.25, "away_win": 0.20,
"over_15": 0.85, "over_25": 0.65, "over_35": 0.35,
"btts_yes": 0.55}
odds: {"1": 1.80, "X": 3.50, "2": 4.20,
"ou15_o": 1.25, "ou15_u": 3.80,
"ou25_o": 1.90, "ou25_u": 1.85,
"ou35_o": 3.20, "ou35_u": 1.30,
"btts_y": 1.75, "btts_n": 2.00}
Returns:
MatchPredictionSet with all recommendations
"""
home_prob = probs.get("home_win", 0.33)
draw_prob = probs.get("draw", 0.33)
away_prob = probs.get("away_win", 0.33)
over_15_prob = probs.get("over_15", 0.70)
over_25_prob = probs.get("over_25", 0.50)
over_35_prob = probs.get("over_35", 0.30)
btts_prob = probs.get("btts_yes", 0.50)
# Beklenen goller
expected_goals = self._calculate_expected_goals(predicted_score)
# Favori
favorite, favorite_prob = self._get_favorite(home_prob, draw_prob, away_prob)
# Önerileri oluştur
low_risk = []
medium_risk = []
high_risk = []
extreme_risk = []
# ========== DÜŞÜK RİSK ÖNERİLERİ ==========
# 1.5 Üst (en güvenli)
if over_15_prob >= self.PROB_LOW_RISK:
low_risk.append(BetRecommendation(
market="1.5 Üst/Alt",
pick="OVER",
odds=odds.get("ou15_o", 1.25),
probability=over_15_prob,
confidence=over_15_prob * 100,
risk_level=RiskLevel.LOW
))
# Double Chance
if home_prob > away_prob:
dc_prob = home_prob + draw_prob
if dc_prob >= self.PROB_LOW_RISK:
low_risk.append(BetRecommendation(
market="Double Chance",
pick="1X",
odds=odds.get("dc_1x", 1.30),
probability=dc_prob,
confidence=dc_prob * 100,
risk_level=RiskLevel.LOW
))
elif away_prob > home_prob:
dc_prob = away_prob + draw_prob
if dc_prob >= self.PROB_LOW_RISK:
low_risk.append(BetRecommendation(
market="Double Chance",
pick="X2",
odds=odds.get("dc_x2", 1.30),
probability=dc_prob,
confidence=dc_prob * 100,
risk_level=RiskLevel.LOW
))
# ========== ORTA RİSK ÖNERİLERİ ==========
# MS Favori
if self.PROB_MEDIUM_RISK <= favorite_prob < self.PROB_LOW_RISK:
medium_risk.append(BetRecommendation(
market="Maç Sonucu",
pick=favorite,
odds=odds.get(favorite, 2.00),
probability=favorite_prob,
confidence=favorite_prob * 100,
risk_level=RiskLevel.MEDIUM
))
# 2.5 Üst
if self.PROB_MEDIUM_RISK <= over_25_prob < self.PROB_LOW_RISK:
medium_risk.append(BetRecommendation(
market="2.5 Üst/Alt",
pick="OVER",
odds=odds.get("ou25_o", 1.90),
probability=over_25_prob,
confidence=over_25_prob * 100,
risk_level=RiskLevel.MEDIUM
))
# KG Var
if self.PROB_MEDIUM_RISK <= btts_prob < self.PROB_LOW_RISK:
medium_risk.append(BetRecommendation(
market="Karşılıklı Gol",
pick="YES",
odds=odds.get("btts_y", 1.75),
probability=btts_prob,
confidence=btts_prob * 100,
risk_level=RiskLevel.MEDIUM
))
# MS + 2.5 Üst kombinasyonu
if favorite_prob >= 0.45 and over_25_prob >= 0.50:
combo_prob = favorite_prob * over_25_prob # Basit çarpım
combo_odds = odds.get(favorite, 2.00) * odds.get("ou25_o", 1.90)
if combo_prob >= 0.30: # En az %30 olasılık
medium_risk.append(BetRecommendation(
market=f"MS {favorite} + 2.5 Üst",
pick=f"{favorite} & OVER",
odds=combo_odds,
probability=combo_prob,
confidence=combo_prob * 100,
risk_level=RiskLevel.MEDIUM
))
# ========== YÜKSEK RİSK ÖNERİLERİ ==========
# 3.5 Üst
if self.PROB_HIGH_RISK <= over_35_prob < self.PROB_MEDIUM_RISK:
high_risk.append(BetRecommendation(
market="3.5 Üst/Alt",
pick="OVER",
odds=odds.get("ou35_o", 3.20),
probability=over_35_prob,
confidence=over_35_prob * 100,
risk_level=RiskLevel.HIGH
))
# Skor tahmini (yüksek skorlu maçlar için)
if expected_goals >= 3.5:
score_str = f"{predicted_score[0]}-{predicted_score[1]}"
# Skor olasılığı tahmini (basit model)
score_prob = 0.15 if expected_goals <= 4 else 0.10
high_risk.append(BetRecommendation(
market="Tam Skor",
pick=score_str,
odds=8.0, # Tahmini oran
probability=score_prob,
confidence=score_prob * 100,
risk_level=RiskLevel.HIGH
))
# MS + 3.5 Üst
if favorite_prob >= 0.40 and over_35_prob >= 0.30:
combo_prob = favorite_prob * over_35_prob
combo_odds = odds.get(favorite, 2.00) * odds.get("ou35_o", 3.20)
high_risk.append(BetRecommendation(
market=f"MS {favorite} + 3.5 Üst",
pick=f"{favorite} & OVER",
odds=combo_odds,
probability=combo_prob,
confidence=combo_prob * 100,
risk_level=RiskLevel.HIGH
))
# ========== EXTREME RİSK ÖNERİLERİ ==========
# Uzun kombinasyonlar
if favorite_prob >= 0.50 and btts_prob >= 0.50 and over_25_prob >= 0.60:
combo_prob = favorite_prob * btts_prob * over_25_prob
combo_odds = odds.get(favorite, 2.00) * odds.get("btts_y", 1.75) * odds.get("ou25_o", 1.90)
if combo_prob >= 0.15: # En az %15 olasılık
extreme_risk.append(BetRecommendation(
market=f"MS {favorite} + KG Var + 2.5 Üst",
pick=f"{favorite} & BTTS & OVER",
odds=combo_odds,
probability=combo_prob,
confidence=combo_prob * 100,
risk_level=RiskLevel.EXTREME
))
return MatchPredictionSet(
match_name=match_name,
predicted_score=predicted_score,
home_win_prob=home_prob,
draw_prob=draw_prob,
away_win_prob=away_prob,
over_15_prob=over_15_prob,
over_25_prob=over_25_prob,
over_35_prob=over_35_prob,
btts_yes_prob=btts_prob,
low_risk_bets=low_risk,
medium_risk_bets=medium_risk,
high_risk_bets=high_risk,
extreme_risk_bets=extreme_risk
)
# Singleton
_recommender = None
def get_smart_bet_recommender() -> SmartBetRecommender:
global _recommender
if _recommender is None:
_recommender = SmartBetRecommender()
return _recommender