feat(tools): Phase T.1-T.4 complete - manifest system, registry, implementations, runtime, collaboration, scheduler

backend/app/tools/configs/loader.py

@@ -0,0 +1,61 @@
+"""
+Config Loader
+
+Loads and caches tool configurations from YAML files.
+"""
+
+import yaml
+from pathlib import Path
+from typing import Dict, Any, Optional
+
+
+class ConfigLoader:
+    """Tool configuration loader with caching support"""
+
+    def __init__(self, config_dir: Optional[Path] = None):
+        if config_dir is None:
+            config_dir = Path(__file__).parent
+        self.config_dir = Path(config_dir)
+        self._cache: Dict[str, Any] = {}
+
+    def load(self, tool_name: str) -> Dict[str, Any]:
+        """Load configuration for a specific tool"""
+        if tool_name in self._cache:
+            return self._cache[tool_name]
+
+        config_file = self.config_dir / f"{tool_name}.yaml"
+        if not config_file.exists():
+            # Try without .yaml extension
+            config_file = self.config_dir / tool_name
+
+        if not config_file.exists():
+            return {}
+
+        with open(config_file, encoding="utf-8") as f:
+            config = yaml.safe_load(f) or {}
+
+        self._cache[tool_name] = config
+        return config
+
+    def reload(self, tool_name: str) -> Dict[str, Any]:
+        """Reload configuration for a specific tool"""
+        if tool_name in self._cache:
+            del self._cache[tool_name]
+        return self.load(tool_name)
+
+    def get(self, tool_name: str, key: str, default: Any = None) -> Any:
+        """Get a specific configuration value"""
+        config = self.load(tool_name)
+        return config.get(key, default)
+
+    def clear_cache(self) -> None:
+        """Clear the configuration cache"""
+        self._cache.clear()
+
+    def load_all(self) -> Dict[str, Dict[str, Any]]:
+        """Load all configuration files in the config directory"""
+        all_configs = {}
+        for config_file in self.config_dir.glob("*.yaml"):
+            tool_name = config_file.stem
+            all_configs[tool_name] = self.load(tool_name)
+        return all_configs