RTIdeas MCP API Server

""" Configuration settings for RTIdeas MCP Server Handles MongoDB connection and MCP server settings """ import os from pathlib import Path from dotenv import load_dotenv # Load environment variables load_dotenv() # Project paths PROJECT_ROOT = Path(__file__).parent.parent DATA_DIR = PROJECT_ROOT / "data" RAW_DATA_DIR = DATA_DIR / "raw" # MongoDB configuration MONGODB_URI = os.getenv("MONGODB_URI") MONGODB_DATABASE = os.getenv("MONGODB_DATABASE", "rtideas") # MCP Server settings MCP_SERVER_NAME = "rtideas-mcp" MCP_SERVER_VERSION = "1.0.0" # Logging settings LOG_LEVEL = os.getenv("LOG_LEVEL", "INFO") # Feature flags ENABLE_AUTO_ANALYSIS = os.getenv("ENABLE_AUTO_ANALYSIS", "true").lower() == "true" ENABLE_WEBSOCKET = os.getenv("ENABLE_WEBSOCKET", "true").lower() == "true" # API settings API_TIMEOUT = int(os.getenv("API_TIMEOUT", "30")) # seconds MAX_RESULTS = int(os.getenv("MAX_RESULTS", "100")) # Web server settings API_HOST = os.getenv("API_HOST", "0.0.0.0") API_PORT = int(os.getenv("API_PORT", "8000")) API_RELOAD = os.getenv("API_RELOAD", "false").lower() == "true" # CORS settings CORS_ORIGINS = os.getenv("CORS_ORIGINS", "*").split(",") CORS_CREDENTIALS = os.getenv("CORS_CREDENTIALS", "true").lower() == "true" # Search settings DEFAULT_SEARCH_LIMIT = int(os.getenv("DEFAULT_SEARCH_LIMIT", "10")) MAX_SEARCH_LIMIT = int(os.getenv("MAX_SEARCH_LIMIT", "100")) # Clustering settings DEFAULT_CLUSTER_METHOD = os.getenv("DEFAULT_CLUSTER_METHOD", "hdbscan") DEFAULT_CLUSTER_K = int(os.getenv("DEFAULT_CLUSTER_K", "8")) # Similarity settings DEFAULT_SIMILARITY_THRESHOLD = float(os.getenv("DEFAULT_SIMILARITY_THRESHOLD", "0.6")) def validate_config() -> tuple[bool, list[str]]: """ Validate the configuration settings. Returns: Tuple of (is_valid, list_of_errors) """ errors = [] # Validate MongoDB configuration if not MONGODB_URI: errors.append("MONGODB_URI environment variable is required") # Validate numeric settings if API_TIMEOUT <= 0: errors.append("API_TIMEOUT must be a positive integer") if MAX_RESULTS <= 0: errors.append("MAX_RESULTS must be a positive integer") if DEFAULT_SEARCH_LIMIT <= 0: errors.append("DEFAULT_SEARCH_LIMIT must be a positive integer") if MAX_SEARCH_LIMIT <= 0: errors.append("MAX_SEARCH_LIMIT must be a positive integer") if DEFAULT_CLUSTER_K < 2: errors.append("DEFAULT_CLUSTER_K must be at least 2") if not (0.0 <= DEFAULT_SIMILARITY_THRESHOLD <= 1.0): errors.append("DEFAULT_SIMILARITY_THRESHOLD must be between 0.0 and 1.0") # Validate cluster method valid_cluster_methods = ["hdbscan", "kmeans", "louvain"] if DEFAULT_CLUSTER_METHOD not in valid_cluster_methods: errors.append(f"DEFAULT_CLUSTER_METHOD must be one of: {valid_cluster_methods}") return (len(errors) == 0, errors) def get_config_summary() -> dict: """ Get a summary of the current configuration. Returns: Dictionary with configuration details """ return { "mongodb": { "uri": MONGODB_URI[:50] + "..." if MONGODB_URI and len(MONGODB_URI) > 50 else MONGODB_URI, "database": MONGODB_DATABASE, }, "server": { "name": MCP_SERVER_NAME, "version": MCP_SERVER_VERSION, "timeout": API_TIMEOUT, "host": API_HOST, "port": API_PORT, "reload": API_RELOAD, }, "search": { "default_limit": DEFAULT_SEARCH_LIMIT, "max_limit": MAX_SEARCH_LIMIT, }, "clustering": { "default_method": DEFAULT_CLUSTER_METHOD, "default_k": DEFAULT_CLUSTER_K, }, "similarity": { "default_threshold": DEFAULT_SIMILARITY_THRESHOLD, }, "features": { "auto_analysis": ENABLE_AUTO_ANALYSIS, "websocket": ENABLE_WEBSOCKET, }, "cors": { "origins": CORS_ORIGINS, "credentials": CORS_CREDENTIALS, }, "logging": { "level": LOG_LEVEL, } } # Create directories if they don't exist RAW_DATA_DIR.mkdir(parents=True, exist_ok=True) if __name__ == "__main__": # Print configuration when run directly import json print("=" * 60) print("RTIdeas MCP Server Configuration") print("=" * 60) is_valid, errors = validate_config() if is_valid: print("✅ Configuration is valid\n") else: print("❌ Configuration has errors:\n") for error in errors: print(f" - {error}") print() print("Configuration Summary:") print(json.dumps(get_config_summary(), indent=2))