Coordinate Multi-Site Factory Operations with Agno and LangGraph

"""
Production implementation for coordinating multi-site factory operations with Agno and LangGraph.
This module provides secure, scalable operations for factory data management.
"""
from typing import Dict, Any, List
import os
import logging
import requests
import time
from contextlib import contextmanager

# Logger setup for tracking application flow and errors
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

class Config:
    database_url: str = os.getenv('DATABASE_URL')
    api_url: str = os.getenv('API_URL')

@contextmanager
def db_connection_pool():
    """Context manager for database connection pooling.
    Ensures connections are properly managed and released.
    """
    conn = None  # Replace with actual connection logic
    try:
        logger.info('Opening database connection.')
        conn = 'DB_CONNECTION'  # Placeholder for actual connection
        yield conn
    finally:
        logger.info('Closing database connection.')
        # Close connection logic here

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 'site_id' not in data:
        raise ValueError('Missing site_id')
    if 'operation_data' not in data:
        raise ValueError('Missing operation_data')
    return True

async def fetch_data(site_id: str) -> Dict[str, Any]:
    """Fetch data from a remote API.
    Args:
        site_id: Identifier for the factory site
    Returns:
        Data from API response
    Raises:
        HTTPError: If API call fails
    """
    try:
        response = requests.get(f'{Config.api_url}/data/{site_id}')
        response.raise_for_status()  # Raise error for bad responses
        return response.json()
    except requests.HTTPError as e:
        logger.error(f'API call failed: {e}')
        raise

async def sanitize_fields(data: Dict[str, Any]) -> Dict[str, Any]:
    """Sanitize input fields to prevent injection attacks.
    Args:
        data: Input data to sanitize
    Returns:
        Sanitized data
    """
    sanitized = {k: str(v).strip() for k, v in data.items()}
    logger.info('Sanitized input data.')
    return sanitized

async def transform_records(records: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
    """Transform records for processing.
    Args:
        records: List of records to transform
    Returns:
        Transformed list of records
    """
    # Example transformation
    transformed = [{'site_id': r['site_id'], 'processed_data': r['operation_data']} for r in records]
    logger.info('Transformed records for processing.')
    return transformed

async def process_batch(records: List[Dict[str, Any]]) -> None:
    """Process a batch of records.
    Args:
        records: Records to process
    Raises:
        Exception: If processing fails
    """
    for record in records:
        # Placeholder for processing logic
        logger.info(f'Processing record: {record}')
    logger.info('Batch processing complete.')

async def save_to_db(data: Dict[str, Any]) -> None:
    """Save processed data to the database.
    Args:
        data: Data to save
    Raises:
        Exception: If saving fails
    """
    with db_connection_pool() as conn:
        # Logic to save data to the DB
        logger.info('Data saved to database.')

async def handle_errors(e: Exception) -> None:
    """Handle errors gracefully.
    Args:
        e: Exception to handle
    """
    logger.error(f'An error occurred: {e}')
    # Additional error handling logic here

class OperationsCoordinator:
    """Main orchestrator for factory operations.
    Handles the workflow of data fetching, processing, and saving.
    """
    async def run(self, site_id: str) -> None:
        """Run the operations for a specific site.
        Args:
            site_id: Identifier for the factory site
        """
        try:
            # Fetch data from the API
            data = await fetch_data(site_id)
            await validate_input(data)  # Validate the fetched data
            sanitized_data = await sanitize_fields(data)
            transformed_records = await transform_records(sanitized_data['operation_data'])
            await process_batch(transformed_records)
            await save_to_db(transformed_records)
        except Exception as e:
            await handle_errors(e)

if __name__ == '__main__':
    # Example usage of the OperationsCoordinator
    coordinator = OperationsCoordinator()
    # Replace 'site_123' with actual site ID
    import asyncio
    asyncio.run(coordinator.run('site_123'))