Teams Messenger MCP App

""" Configuration for the MCP IR server. Loads settings from environment variables with sensible defaults. """ import os from dotenv import load_dotenv # Load environment variables from .env file load_dotenv() # PostgreSQL configuration POSTGRES_HOST = os.getenv("POSTGRES_HOST", "localhost") POSTGRES_PORT = int(os.getenv("POSTGRES_PORT", "5432")) POSTGRES_USER = os.getenv("POSTGRES_USER", "postgres") POSTGRES_PASSWORD = os.getenv("POSTGRES_PASSWORD", "") POSTGRES_DB = os.getenv("POSTGRES_DB", "mcp_ir") # Connection pool settings PG_MIN_CONN = int(os.getenv("PG_MIN_CONN", "1")) PG_MAX_CONN = int(os.getenv("PG_MAX_CONN", "10")) # OpenAI API configuration OPENAI_API_KEY = os.getenv("OPENAI_API_KEY", "") EMBEDDING_MODEL = os.getenv("EMBEDDING_MODEL", "text-embedding-3-large") EMBEDDING_DIMENSIONS = int(os.getenv("EMBEDDING_DIMENSIONS", "1536")) # MCP server configuration MCP_SERVER_PORT = int(os.getenv("MCP_SERVER_PORT", "8090")) MCP_SERVER_HOST = os.getenv("MCP_SERVER_HOST", "0.0.0.0") # Search configuration DEFAULT_SEARCH_LIMIT = int(os.getenv("DEFAULT_SEARCH_LIMIT", "10")) DEFAULT_SEARCH_TYPE = os.getenv("DEFAULT_SEARCH_TYPE", "hybrid") # hybrid, semantic, fulltext HYBRID_WEIGHT_SEMANTIC = float(os.getenv("HYBRID_WEIGHT_SEMANTIC", "0.7")) HYBRID_WEIGHT_FULLTEXT = float(os.getenv("HYBRID_WEIGHT_FULLTEXT", "0.3")) # Chunking configuration DEFAULT_CHUNK_SIZE = int(os.getenv("DEFAULT_CHUNK_SIZE", "1000")) DEFAULT_CHUNK_OVERLAP = int(os.getenv("DEFAULT_CHUNK_OVERLAP", "200")) # Get PostgreSQL connection string def get_pg_connection_string(): """Generate PostgreSQL connection string from environment variables.""" return f"postgresql://{POSTGRES_USER}:{POSTGRES_PASSWORD}@{POSTGRES_HOST}:{POSTGRES_PORT}/{POSTGRES_DB}"