import os def get_boolean_env_var(var_name, default_value=False): """Retrieve the boolean value of an environment variable. Args: var_name (str): The name of the environment variable to retrieve. default_value (bool): The default value to return if the variable is not found. Returns: bool: The value of the environment variable, interpreted as a boolean. """ true_values = {"true", "1", "t", "y", "yes"} false_values = {"false", "0", "f", "n", "no"} # Retrieve the environment variable's value value = os.getenv(var_name, "").lower() # Decide the boolean value based on the content of the string if value in true_values: return True elif value in false_values: return False else: return default_value # Check for openai API key if "OPENAI_API_KEY" not in os.environ: raise Exception("Must provide an OPENAI_API_KEY as an env var.") # Whether or not to enable langchain debugging DEBUG = get_boolean_env_var("DEBUG", False) # Set DEBUG env var to "true" if you wish to enable LC debugging module if DEBUG: import langchain langchain.debug = True # Embedding model EMBED_MODEL = os.getenv("EMBED_MODEL", "sentence-transformers/all-MiniLM-L6-v2") # Redis Connection Information REDIS_HOST = os.getenv("REDIS_HOST", "localhost") REDIS_PORT = int(os.getenv("REDIS_PORT", 6379)) def format_redis_conn_from_env(): redis_url = os.getenv("REDIS_URL", None) if redis_url: return redis_url else: using_ssl = get_boolean_env_var("REDIS_SSL", False) start = "rediss://" if using_ssl else "redis://" # if using RBAC password = os.getenv("REDIS_PASSWORD", None) username = os.getenv("REDIS_USERNAME", "default") if password is not None: start += f"{username}:{password}@" return start + f"{REDIS_HOST}:{REDIS_PORT}" REDIS_URL = format_redis_conn_from_env() # Vector Index Configuration INDEX_NAME = os.getenv("INDEX_NAME", "rag-redis") current_file_path = os.path.abspath(__file__) parent_dir = os.path.dirname(current_file_path) schema_path = os.path.join(parent_dir, "schema.yml") INDEX_SCHEMA = schema_path