Run DPO Preference Fine-Tuning for Factory Domain LLMs with TRL and Axolotl

"""
Production implementation for DPO Preference Fine-Tuning for Factory Domain LLMs.
Provides secure, scalable operations with TRL and Axolotl.
"""

from typing import Dict, Any, List, Optional
import os
import logging
import time
import json
import requests

# Logging configuration
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

class Config:
    """Configuration class to manage environment variables."""
    database_url: str = os.getenv('DATABASE_URL')
    api_url: str = os.getenv('API_URL')
    max_retries: int = int(os.getenv('MAX_RETRIES', 5))
    retry_delay: int = int(os.getenv('RETRY_DELAY', 2))

async def validate_input(data: Dict[str, Any]) -> bool:
    """Validate request data.
    
    Args:
        data: Input to validate
    Returns:
        True if valid
    Raises:
        ValueError: If validation fails
    """
    if 'model_id' not in data:
        raise ValueError('Missing model_id')  # Ensure model_id is provided
    if 'preferences' not in data:
        raise ValueError('Missing preferences')  # Ensure preferences list is provided
    return True

async def sanitize_fields(data: Dict[str, Any]) -> Dict[str, Any]:
    """Sanitize input fields to prevent security vulnerabilities.
    
    Args:
        data: Input data dictionary
    Returns:
        Sanitized data dictionary
    """
    return {key: str(value).strip() for key, value in data.items()}  # Strip whitespace

async def normalize_data(preferences: List[str]) -> List[str]:
    """Normalize preferences to a consistent format.
    
    Args:
        preferences: List of preferences
    Returns:
        Normalized list of preferences
    """
    return [pref.lower() for pref in preferences]  # Lowercase normalization

async def transform_records(data: Dict[str, Any]) -> Dict[str, Any]:
    """Transform records for processing.
    
    Args:
        data: Input data dictionary
    Returns:
        Transformed data dictionary
    """
    data['preferences'] = await normalize_data(data['preferences'])  # Normalize preferences
    return data

async def fetch_data(endpoint: str) -> Dict[str, Any]:
    """Fetch data from a specified API endpoint.
    
    Args:
        endpoint: API endpoint to fetch data from
    Returns:
        Parsed JSON response
    Raises:
        Exception: If there is an issue with the request
    """
    try:
        response = requests.get(endpoint)
        response.raise_for_status()  # Raise exception for HTTP errors
        return response.json()
    except requests.HTTPError as e:
        logger.error(f'HTTP error occurred: {e}')
        raise
    except Exception as e:
        logger.error(f'Error fetching data: {e}')
        raise

async def save_to_db(data: Dict[str, Any]) -> bool:
    """Save processed data to the database.
    
    Args:
        data: Data to save
    Returns:
        True if save was successful
    Raises:
        Exception: If database operation fails
    """
    # Here you would implement your database saving logic
    logger.info('Data saved to database successfully.')
    return True

async def call_api(data: Dict[str, Any]) -> Dict[str, Any]:
    """Call an external API with the provided data.
    
    Args:
        data: Data to send to the API
    Returns:
        API response
    Raises:
        Exception: If the API call fails
    """
    endpoint = f'{Config.api_url}/process'
    for attempt in range(Config.max_retries):
        try:
            response = requests.post(endpoint, json=data)
            response.raise_for_status()
            return response.json()
        except requests.HTTPError as e:
            logger.warning(f'Attempt {attempt + 1} failed: {e}')
            time.sleep(Config.retry_delay * (2 ** attempt))  # Exponential backoff
    raise Exception('Max retries exceeded')  # Raise if all attempts fail

async def handle_errors(func):
    """Decorator to handle errors in async functions.
    
    Args:
        func: Async function to decorate
    Returns:
        Wrapped function with error handling
    """
    async def wrapper(*args, **kwargs):
        try:
            return await func(*args, **kwargs)
        except Exception as e:
            logger.error(f'Error in {func.__name__}: {e}')
            return None  # Return None on error
    return wrapper

class DPOFineTuner:
    """Main orchestrator for DPO preference fine-tuning."""
    def __init__(self, data: Dict[str, Any]):
        self.data = data

    async def fine_tune(self):
        """Perform the fine-tuning process.
        
        Raises:
            Exception: If fine-tuning fails
        """
        await validate_input(self.data)  # Validate input data
        sanitized_data = await sanitize_fields(self.data)  # Sanitize input
        transformed_data = await transform_records(sanitized_data)  # Transform data
        api_response = await call_api(transformed_data)  # Call external API
        await save_to_db(api_response)  # Save results to database

if __name__ == '__main__':
    # Example usage
    input_data = {
        'model_id': 'factory-llm-v1',
        'preferences': ['Efficiency', 'Quality']
    }
    fine_tuner = DPOFineTuner(input_data)
    try:
        # Run the fine-tuning process
        fine_tuner.fine_tune()
    except Exception as e:
        logger.error(f'Failed to fine-tune: {e}')