Automate Production Reporting Agents with smolagents and Prefect

                      
                     
"""
Production implementation for Automating Production Reporting Agents with smolagents and Prefect.
Provides secure, scalable operations for generating reports based on data fetched from various sources.
"""

from typing import Dict, Any, List
import os
import logging
import asyncio
import httpx
from prefect import flow, task
from prefect.client import get_client

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

class Config:
    """
    Configuration class to manage environment variables.
    """
    database_url: str = os.getenv('DATABASE_URL')
    report_service_url: str = os.getenv('REPORT_SERVICE_URL')

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 'id' not in data:
        raise ValueError('Missing id')  # Check for required fields
    if not isinstance(data['id'], int):
        raise ValueError('ID must be an integer')  # Ensure ID type is correct
    return True

async def sanitize_fields(data: Dict[str, Any]) -> Dict[str, Any]:
    """Sanitize input data fields.
    
    Args:
        data: Raw input data
    Returns:
        Sanitized data
    """
    return {key: str(value).strip() for key, value in data.items()}  # Clean up whitespace

async def fetch_data(endpoint: str) -> Dict[str, Any]:
    """Fetch data from an external API.
    
    Args:
        endpoint: The API endpoint to fetch data from.
    Returns:
        Parsed JSON response.
    Raises:
        HTTPStatusError: If response status indicates an error.
    """
    async with httpx.AsyncClient() as client:
        response = await client.get(endpoint)
        response.raise_for_status()  # Raise error for bad responses
        return response.json()

async def save_to_db(data: Dict[str, Any]) -> None:
    """Save data to the database.
    
    Args:
        data: Data to save
    Raises:
        Exception: If saving data fails.
    """
    # Simulating database save with logging
    logger.info(f'Saving data to the database: {data}')  # Replace with actual DB call

async def process_batch(batch: List[Dict[str, Any]]) -> None:
    """Process a batch of records.
    
    Args:
        batch: List of records to process
    Raises:
        Exception: If processing fails.
    """
    for record in batch:
        await validate_input(record)  # Validate each record
        sanitized = await sanitize_fields(record)  # Sanitize fields
        await save_to_db(sanitized)  # Save sanitized data

@task
async def call_api() -> List[Dict[str, Any]]:
    """Fetch and return data from the configured API.
    
    Returns:
        List of data records fetched from the API.
    """
    data = await fetch_data(Config.report_service_url)  # Fetch data from external service
    return data

@flow
async def generate_reports() -> None:
    """Main flow to generate reports.
    
    This flow orchestrates fetching data, processing it, and generating reports.
    """
    try:
        data = await call_api()  # Call the API to fetch data
        await process_batch(data)  # Process fetched data
    except Exception as e:
        logger.error(f'Error in report generation: {e}')  # Handle errors gracefully

if __name__ == '__main__':
    # Example usage
    asyncio.run(generate_reports())  # Run the Prefect flow