first (part 2: other directories)

ai-engine/config/config_loader.py

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+import os
+import yaml
+from typing import Dict, Any, Optional
+
+class EnsembleConfig:
+    _instance: Optional['EnsembleConfig'] = None
+    _config: Dict[str, Any] = {}
+    
+    def __new__(cls):
+        if cls._instance is None:
+            cls._instance = super(EnsembleConfig, cls).__new__(cls)
+            cls._instance._load_config()
+        return cls._instance
+    
+    def _load_config(self):
+        """Load configuration from YAML file."""
+        config_path = os.path.join(os.path.dirname(__file__), 'ensemble_config.yaml')
+        try:
+            with open(config_path, 'r', encoding='utf-8') as f:
+                self._config = yaml.safe_load(f)
+            # print(f"✅ Loaded ensemble config from {config_path}")
+        except Exception as e:
+            print(f"❌ Failed to load ensemble config: {e}")
+            self._config = {}
+    
+    def get(self, key: str, default: Any = None) -> Any:
+        """Get configuration value by key (supports dot notation for nested keys)."""
+        keys = key.split('.')
+        value = self._config
+        
+        try:
+            for k in keys:
+                value = value[k]
+            return value
+        except (KeyError, TypeError):
+            return default
+
+# Singleton accessor
+def get_config() -> EnsembleConfig:
+    return EnsembleConfig()
+
+if __name__ == "__main__":
+    # Test
+    cfg = get_config()
+    print(f"Weights: {cfg.get('engine_weights')}")
+    print(f"Team Weight: {cfg.get('engine_weights.team')}")