Automate Logistics Networks with smolagents and LangGraph

                      
                     
"""
Production implementation for automating logistics networks with smolagents and LangGraph.
This application orchestrates data flows and integrates various logistics services.
"""
from typing import Dict, Any, List
import os
import logging
import requests
import time

# Configure logging for the application
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

class Config:
    """
    Configuration class to hold environment variables.
    """
    DATABASE_URL: str = os.getenv('DATABASE_URL')
    API_URL: str = os.getenv('API_URL')
    RETRY_COUNT: int = int(os.getenv('RETRY_COUNT', 3))
    RETRY_DELAY: float = float(os.getenv('RETRY_DELAY', 1.0))

async def validate_input(data: Dict[str, Any]) -> bool:
    """
    Validate input data for processing.
    
    Args:
        data: Input data to validate
    Returns:
        True if valid
    Raises:
        ValueError: If validation fails
    """
    # Check for mandatory fields
    if 'shipment_id' not in data:
        raise ValueError('Missing shipment_id in input data')
    if 'destination' not in data:
        raise ValueError('Missing destination in input data')
    return True

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
    """
    # Here we could clean up the inputs
    return {k: str(v).strip() for k, v in data.items()}

async def fetch_data(endpoint: str) -> Dict[str, Any]:
    """
    Fetch data from the specified API endpoint.
    
    Args:
        endpoint: API endpoint to fetch data from
    Returns:
        JSON response from the API
    Raises:
        Exception: If fetching fails after retries
    """
    # Implement retry logic with exponential backoff
    for attempt in range(Config.RETRY_COUNT):
        try:
            response = requests.get(endpoint)
            response.raise_for_status()  # Raise if HTTP status is not 200
            return response.json()  # Return JSON response
        except requests.RequestException as e:
            logger.warning(f'Retry {attempt + 1}/{Config.RETRY_COUNT} failed: {e}')
            time.sleep(Config.RETRY_DELAY * (2 ** attempt))  # Exponential backoff
    raise Exception('API fetch failed after retries')

async def transform_records(data: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
    """
    Transform raw data records into the desired format.
    
    Args:
        data: List of raw data records
    Returns:
        Transformed records
    """
    # Transform logic can be applied here
    return [{'id': record['shipment_id'], 'location': record['destination']} for record in data]

async def process_batch(data: List[Dict[str, Any]]) -> None:
    """
    Process a batch of logistics data.
    
    Args:
        data: Batch of data to process
    """
    # Loop through data and process each record
    for record in data:
        logger.info(f'Processing record: {record}')
        # Here you would implement the logic to handle each record

async def save_to_db(data: List[Dict[str, Any]]) -> None:
    """
    Save processed data to the database.
    
    Args:
        data: List of data to save
    """
    # Database save logic goes here
    logger.info(f'Saving {len(data)} records to the database')

async def call_api(data: Dict[str, Any]) -> None:
    """
    Call external API with the processed data.
    
    Args:
        data: Data to send to the API
    """
    # Send the processed data to an external service
    logger.info(f'Calling external API with data: {data}')

class LogisticsOrchestrator:
    """
    Main orchestrator class for logistics network automation.
    """
    async def run(self, input_data: Dict[str, Any]) -> None:
        """
        Execute the full workflow.
        
        Args:
            input_data: Initial input data for processing
        """
        try:
            # Validate input data
            await validate_input(input_data)  # Validate the input
            sanitized_data = await sanitize_fields(input_data)  # Sanitize input
            logger.info('Input validated and sanitized')
            # Fetch data from the API
            api_data = await fetch_data(Config.API_URL)  # Fetch data
            transformed_data = await transform_records(api_data)  # Transform data
            await process_batch(transformed_data)  # Process the data
            await save_to_db(transformed_data)  # Save the data
            await call_api(sanitized_data)  # Call external API
        except Exception as e:
            logger.error(f'An error occurred: {e}')  # Log any errors

if __name__ == '__main__':
    # Example usage
    orchestrator = LogisticsOrchestrator()
    example_input = {'shipment_id': '12345', 'destination': 'New York'}
    import asyncio
    asyncio.run(orchestrator.run(example_input))