Automate Model Rollouts with ArgoCD and BentoML

                      
                     
"""
Production implementation for automating model rollouts using ArgoCD and BentoML.
Provides secure, scalable operations for deploying machine learning models.
"""
from typing import Dict, Any, List, Union
import os
import logging
import requests
import time

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

class Config:
    """
    Configuration class to manage environment variables.
    """
    bento_service_url: str = os.getenv('BENTO_SERVICE_URL')
    argo_cd_url: str = os.getenv('ARGO_CD_URL')
    retry_attempts: int = 5
    retry_delay: int = 2

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_name' not in data or 'version' not in data:
        raise ValueError('Missing required fields: model_name and version')
    return True

def sanitize_fields(data: Dict[str, Any]) -> Dict[str, Any]:
    """Sanitize input data fields.
    
    Args:
        data: Input data to sanitize
    Returns:
        Sanitized input data
    """
    return {key: str(value).strip() for key, value in data.items()}

def fetch_data(url: str) -> Union[Dict[str, Any], None]:
    """Fetch data from a given URL.
    
    Args:
        url: URL to fetch data from
    Returns:
        Fetched data as dictionary
    Raises:
        ConnectionError: If the request fails
    """
    try:
        response = requests.get(url)
        response.raise_for_status()  # Raise an error for bad responses
        return response.json()
    except requests.RequestException as e:
        logger.error(f'Error fetching data: {e}')
        raise ConnectionError('Failed to fetch data')

def save_to_db(data: Dict[str, Any]) -> None:
    """Simulate saving data to a database.
    
    Args:
        data: Data to save
    """
    # Placeholder for database saving logic
    logger.info('Data saved to database successfully.')

def call_api(url: str, payload: Dict[str, Any]) -> None:
    """Call an external API with a payload.
    
    Args:
        url: API endpoint
        payload: Data to send
    Raises:
        RuntimeError: If API call fails
    """
    for attempt in range(Config.retry_attempts):
        try:
            response = requests.post(url, json=payload)
            response.raise_for_status()
            logger.info('API call successful.')
            return
        except requests.RequestException as e:
            logger.warning(f'Call failed: {e}. Retrying in {Config.retry_delay} seconds...')
            time.sleep(Config.retry_delay)
            continue  # Retry on failure
    raise RuntimeError('Failed to call API after multiple attempts')

class ModelRollout:
    """Main orchestrator class for managing model rollouts.
    """
    def __init__(self, config: Config):
        self.config = config

    def rollout_model(self, model_data: Dict[str, Any]) -> None:
        """Perform the model rollout process.
        
        Args:
            model_data: Data related to the model rollout
        """
        try:
            # Validate and sanitize input
            validate_input(model_data)
            sanitized_data = sanitize_fields(model_data)
            # Fetch necessary data
            data = fetch_data(self.config.bento_service_url)
            # Call API to deploy model
            call_api(self.config.argo_cd_url, sanitized_data)
            # Save to database
            save_to_db(sanitized_data)
        except Exception as e:
            logger.error(f'Error during model rollout: {e}')  # Log the error

if __name__ == '__main__':
    # Example usage of model rollout
    config = Config()
    model_rollout = ModelRollout(config)
    try:
        model_rollout.rollout_model({'model_name': 'my_model', 'version': 'v1.0'})
    except Exception as e:
        logger.error(f'Failed to execute rollout: {e}')  # Handle errors gracefully