Route Warehouse Decisions with LangGraph and OpenAI Agents SDK

                      
                     
"""
Production implementation for routing warehouse decisions using LangGraph and OpenAI Agents SDK.
Provides secure, scalable operations for data handling and decision-making.
"""
from typing import Dict, Any, List
import os
import logging
import aiohttp
import asyncio
from sqlalchemy import create_engine, text
from sqlalchemy.orm import sessionmaker
from tenacity import retry, stop_after_attempt, wait_exponential

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

# Database configuration
DATABASE_URL = os.getenv('DATABASE_URL', 'sqlite:///./test.db')  # Default to SQLite for testing
engine = create_engine(DATABASE_URL)
Session = sessionmaker(bind=engine)

class Config:
    """Configuration settings for the application."""
    database_url: str = os.getenv('DATABASE_URL', 'sqlite:///./test.db')

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 'warehouse_id' not in data:
        raise ValueError('Missing warehouse_id')  # Ensure warehouse ID is present
    if 'decision' not in data:
        raise ValueError('Missing decision')  # Ensure decision is present
    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
    """
    return {k: str(v).strip() for k, v in data.items()}  # Strip whitespace from all fields

async def fetch_data(warehouse_id: str) -> Dict[str, Any]:
    """Fetch data from the warehouse.
    Args:
        warehouse_id: Unique identifier for the warehouse
    Returns:
        Data related to the warehouse
    Raises:
        Exception: If data fetching fails
    """
    try:
        async with aiohttp.ClientSession() as session:
            async with session.get(f'https://api.example.com/warehouses/{warehouse_id}') as response:
                if response.status != 200:
                    raise Exception('Failed to fetch data')
                return await response.json()
    except Exception as e:
        logger.error(f'Error fetching data: {e}')
        raise  # Re-raise the exception for handling later

async def transform_records(data: Dict[str, Any]) -> List[Dict[str, Any]]:
    """Transform raw data into a suitable format for processing.
    Args:
        data: Raw data from the warehouse
    Returns:
        List of transformed records
    """
    return [{'id': item['id'], 'value': item['value']} for item in data['items']]  # Transform into a simple list

async def process_batch(records: List[Dict[str, Any]]) -> Dict[str, Any]:
    """Process a batch of records and make decisions.
    Args:
        records: List of records to process
    Returns:
        Metrics aggregated from processing
    """
    # Placeholder for processing logic
    return {'total': len(records), 'processed': [rec['id'] for rec in records]}  # Mock processing

@retry(stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=4, max=10))
async def save_to_db(records: List[Dict[str, Any]]) -> None:
    """Save processed records to the database.
    Args:
        records: List of records to save
    Raises:
        Exception: If saving fails
    """
    try:
        with Session() as session:
            for record in records:
                session.execute(text('INSERT INTO processed_records (id, value) VALUES (:id, :value)'), record)
            session.commit()  # Commit the transaction
    except Exception as e:
        logger.error(f'Error saving to DB: {e}')
        raise  # Re-raise to trigger retry

async def aggregate_metrics(processed_data: Dict[str, Any]) -> None:
    """Aggregate metrics from processed data and log them.
    Args:
        processed_data: Data processed from warehouses
    Returns:
        None
    """    
    logger.info(f'Processed {processed_data['total']} records.')  # Log the total number of processed records

async def route_decision(data: Dict[str, Any]) -> None:
    """Main workflow for routing decisions.
    Args:
        data: Input data for routing decisions
    Returns:
        None
    Raises:
        Exception: If an error occurs during processing
    """  
    await validate_input(data)  # Validate input data
    sanitized_data = await sanitize_fields(data)  # Sanitize fields
    raw_data = await fetch_data(sanitized_data['warehouse_id'])  # Fetch data from the warehouse
    records = await transform_records(raw_data)  # Transform raw data
    processed_data = await process_batch(records)  # Process the batch
    await save_to_db(processed_data)  # Save processed data to DB
    await aggregate_metrics(processed_data)  # Aggregate and log metrics

if __name__ == '__main__':
    # Example usage of the route decision function
    example_input = {'warehouse_id': '123', 'decision': 'optimize'}
    asyncio.run(route_decision(example_input))