"""
Configuration management for the CRE Chatbot application.
"""
import os
from dotenv import load_dotenv

# Load environment variables
load_dotenv()

# Azure OpenAI Configuration
AZURE_OPENAI_ENDPOINT = os.getenv('AZURE_OPENAI_ENDPOINT')
AZURE_OPENAI_API_KEY = os.getenv('AZURE_OPENAI_KEY')
AZURE_OPENAI_DEPLOYMENT_NAME = os.getenv('AZURE_OPENAI_DEPLOYMENT_NAME')
AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME = os.getenv('AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME')

# Application Configuration
MAX_CHUNK_SIZE = 1000
OVERLAP_SIZE = 200
TEMPERATURE = 0.7
MAX_TOKENS = 500

# Logging Configuration
LOG_LEVEL = "INFO"
LOG_FORMAT = "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
LOG_FILE = "logs/app.log"

# Vector Store Configuration
VECTOR_STORE_PATH = "vector_store"

def validate_config():
    """Validate that all required configuration variables are set."""
    required_vars = [
        'AZURE_OPENAI_ENDPOINT',
        'AZURE_OPENAI_API_KEY',
        'AZURE_OPENAI_DEPLOYMENT_NAME',
        'AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME'
    ]
    
    missing_vars = [var for var in required_vars if not os.getenv(var)]
    
    if missing_vars:
        raise ValueError(f"Missing required environment variables: {', '.join(missing_vars)}")

# Validate that all required configuration variables are set.
validate_config()