"""
Configuration module for the LangGraph application.
"""
import os
from uuid import uuid4
from typing import Dict, Any

from dotenv import load_dotenv

def load_config() -> Dict[str, Any]:
    """
    Load configuration from environment variables.
    
    Returns:
        Dict[str, Any]: Configuration dictionary
    """
    # Try to load from .env file, but continue if file doesn't exist
    try:
        load_dotenv(raise_error_if_not_found=False)
    except Exception:
        pass
        
    config = {
        "openai_api_key": os.getenv("OPENAI_API_KEY").strip(),
        "tavily_api_key": os.getenv("TAVILY_API_KEY").strip(),
        "langsmith_api_key": os.getenv("LANGSMITH_API_KEY").strip(),
        "langsmith_tracing_v2": os.getenv("LANGSMITH_TRACING_V2", "true"),
        "langsmith_project": os.getenv("LANGSMITH_PROJECT", f"HF - Tool Calling Agent - {uuid4().hex[0:8]}"),
        "model_name": os.getenv("MODEL_NAME", "gpt-4o-mini"),
        "temperature": float(os.getenv("TEMPERATURE", "0")),
        "tavily_max_results": int(os.getenv("TAVILY_MAX_RESULTS", "5"))
    }
    
    # Validate required configuration
    missing_keys = []
    required_keys = ["openai_api_key", "tavily_api_key"]
    for key in required_keys:
        if not config[key]:
            missing_keys.append(key)
            
    if missing_keys:
        error_message = f"Missing required environment variables: {', '.join(missing_keys)}"
        if os.getenv("HF_SPACE", "false").lower() == "true":
            print(f"ERROR: {error_message}")
            print("Please add these as secrets in your Hugging Face Space settings.")
        else:
            raise ValueError(error_message)
            
    return config