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fix(ai-engine): hoist ms_edge before score prediction branch to prevent UnboundLocalError
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Fahri Can
2026-05-05 20:34:14 +03:00
parent fdb8a5d0f0
commit 4bc51cfa99
1 changed files with 2 additions and 1 deletions
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ai-engine/services/single_match_orchestrator.py
+2 -1
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@@ -925,6 +925,7 @@ class SingleMatchOrchestrator:
prediction.handicap_confidence = hcap_top * 100.0 prediction.handicap_confidence = hcap_top * 100.0
# ── Score Prediction: Model-first, heuristic fallback ────────── # ── Score Prediction: Model-first, heuristic fallback ──────────
ms_edge = prediction.ms_home_prob - prediction.ms_away_prob
score_result = self._predict_score_with_model(features) score_result = self._predict_score_with_model(features)
if score_result is not None: if score_result is not None:
# ML model predicted scores # ML model predicted scores
@@ -939,7 +940,7 @@ class SingleMatchOrchestrator:
# Heuristic fallback (original formula) # Heuristic fallback (original formula)
base_home_xg = max(0.25, (float(data.home_goals_avg) + float(features.get("away_xga", data.away_conceded_avg))) / 2.0) base_home_xg = max(0.25, (float(data.home_goals_avg) + float(features.get("away_xga", data.away_conceded_avg))) / 2.0)
base_away_xg = max(0.25, (float(data.away_goals_avg) + float(features.get("home_xga", data.home_conceded_avg))) / 2.0) base_away_xg = max(0.25, (float(data.away_goals_avg) + float(features.get("home_xga", data.home_conceded_avg))) / 2.0)
ms_edge = prediction.ms_home_prob - prediction.ms_away_prob # ms_edge already computed above
total_target = max( total_target = max(
1.4, 1.4,
min( min(