Coordinate Supply Chain Agents with LangGraph and Google ADK

                      
                     
"""
Production implementation for coordinating supply chain agents with LangGraph and Google ADK.
Provides secure, scalable operations and efficient data handling.
"""
from typing import Dict, Any, List
import os
import logging
import httpx
from sqlalchemy import create_engine, Column, Integer, String, Sequence
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker, scoped_session
from dotenv import load_dotenv

# Load environment variables from .env file
load_dotenv()

# Logger setup
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Database setup
Base = declarative_base()
engine = create_engine(os.getenv('DATABASE_URL'))
Session = scoped_session(sessionmaker(bind=engine))

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

class SupplyChainAgent(Base):
    __tablename__ = 'supply_chain_agents'
    id = Column(Integer, Sequence('agent_id_seq'), primary_key=True)
    name = Column(String(50))
    status = Column(String(50))

Base.metadata.create_all(engine)

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 'name' not in data or not data['name']:
        raise ValueError('Missing or empty name')
    return True

async def fetch_data(api_url: str) -> List[Dict[str, Any]]:
    """Fetch data from the specified API.
    
    Args:
        api_url: API endpoint to fetch data from
    Returns:
        List of records fetched from the API
    Raises:
        httpx.HTTPStatusError: If the request fails
    """
    async with httpx.AsyncClient() as client:
        response = await client.get(api_url)
        response.raise_for_status()  # Raises an error for bad responses
        return response.json()

async def save_to_db(data: List[Dict[str, Any]]) -> None:
    """Save fetched data to the database.
    
    Args:
        data: List of dictionaries to save
    Raises:
        Exception: If database operations fail
    """
    session = Session()
    try:
        for item in data:
            agent = SupplyChainAgent(name=item['name'], status=item['status'])
            session.add(agent)
        session.commit()  # Commit all changes
    except Exception as e:
        session.rollback()  # Rollback on error
        logger.error(f'Error saving to DB: {e}')
        raise
    finally:
        session.close()  # Ensure session is closed

async def process_batch(data: List[Dict[str, Any]]) -> None:
    """Process a batch of records.
    
    Args:
        data: List of records to process
    """
    for record in data:
        logger.info(f'Processing record: {record}')  # Log processing
        # Simulate processing logic here

async def aggregate_metrics() -> Dict[str, Any]:
    """Aggregate metrics from the database.
    
    Returns:
        Dictionary of aggregated metrics
    """
    session = Session()
    try:
        count = session.query(SupplyChainAgent).count()
        return {'total_agents': count}
    finally:
        session.close()

async def handle_errors(e: Exception) -> None:
    """Handle exceptions that arise during processing.
    
    Args:
        e: Exception to handle
    """
    logger.error(f'An error occurred: {str(e)}')  # Log error

async def main_process(api_url: str) -> None:
    """Main orchestration function for supply chain operations.
    
    Args:
        api_url: API endpoint to fetch data from
    """
    try:
        records = await fetch_data(api_url)
        await validate_input(records)
        await save_to_db(records)
        await process_batch(records)
        metrics = await aggregate_metrics()
        logger.info(f'Metrics: {metrics}')  # Log metrics
    except ValueError as ve:
        handle_errors(ve)  # Handle validation errors
    except Exception as e:
        handle_errors(e)  # Handle general errors

if __name__ == '__main__':
    import asyncio
    API_URL = os.getenv('API_URL')
    logger.info('Starting the supply chain process...')
    asyncio.run(main_process(API_URL))