Azure AI Search MCP Server

#!/usr/bin/env python3 """Test reading API keys from .env file.""" import sys import os # Add src to path sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'src')) def test_env_loading(): """Test that environment variables are loaded from .env file.""" print("=== Testing .env File Loading ===") try: from azure_search_mcp.config import config print("\n--- Azure Search Configuration ---") print(f"Endpoint: {config.azure_search.endpoint}") print(f"API Key: {'*' * len(config.azure_search.api_key) if config.azure_search.api_key else 'NOT SET'}") print(f"Index Name: {config.azure_search.index_name}") print("\n--- Google Gemini Configuration ---") print(f"API Key: {'*' * len(config.gemini.api_key) if config.gemini.api_key else 'NOT SET'}") print(f"Model: {config.gemini.model_name}") print(f"Temperature: {config.gemini.temperature}") print("\n--- LangSmith Configuration ---") print(f"Tracing Enabled: {config.langsmith.tracing_enabled}") print(f"API Key: {'*' * len(config.langsmith.api_key) if config.langsmith.api_key else 'NOT SET'}") print(f"Project: {config.langsmith.project}") # Check if all required keys are present missing_keys = [] if not config.azure_search.endpoint: missing_keys.append("AZURE_SEARCH_ENDPOINT") if not config.azure_search.api_key: missing_keys.append("AZURE_SEARCH_API_KEY") if not config.azure_search.index_name: missing_keys.append("AZURE_SEARCH_INDEX_NAME") if not config.gemini.api_key: missing_keys.append("GOOGLE_API_KEY") if missing_keys: print(f"\n❌ Missing required keys: {', '.join(missing_keys)}") return False else: print(f"\n✅ All required API keys loaded successfully from .env file!") return True except Exception as e: print(f"❌ Error loading configuration: {e}") import traceback traceback.print_exc() return False if __name__ == "__main__": success = test_env_loading() sys.exit(0 if success else 1)