Coordinate Assembly Verification Agents with AutoGen and PydanticAI

                      
                     
"""
Production implementation for Coordinate Assembly Verification Agents using AutoGen and PydanticAI.
Provides secure, scalable operations for verifying assembly data.
"""

from typing import Dict, Any, List
import os
import logging
import time
from pydantic import BaseModel, ValidationError

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

# Configuration class for environment variables
class Config:
    database_url: str = os.getenv('DATABASE_URL')
    retry_attempts: int = int(os.getenv('RETRY_ATTEMPTS', 3))
    retry_delay: float = float(os.getenv('RETRY_DELAY', 2.0))

# Pydantic model for input validation
class AssemblyData(BaseModel):
    id: str
    components: List[str]
    verified: bool = False

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
    """
    try:
        # Attempt to validate using Pydantic model
        AssemblyData(**data)
    except ValidationError as e:
        logger.error(f'Validation error: {e}')
        raise ValueError('Invalid input data')
    return True

async def sanitize_fields(data: Dict[str, Any]) -> Dict[str, Any]:
    """Sanitize input fields to prevent security risks.
    
    Args:
        data: Input data to sanitize
    Returns:
        Sanitized data
    """
    return {key: value.strip() for key, value in data.items()}

async def transform_records(data: Dict[str, Any]) -> Dict[str, Any]:
    """Transform records for processing.
    
    Args:
        data: Input data to transform
    Returns:
        Transformed data
    """
    # Example transformation logic
    return {**data, 'verified': True}

async def process_batch(batch: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
    """Process a batch of assembly data.
    
    Args:
        batch: List of assembly data records
    Returns:
        List of processed records
    """
    processed_records = []
    for record in batch:
        # Example processing logic
        processed_records.append(await transform_records(record))
    return processed_records

async def fetch_data(source: str) -> List[Dict[str, Any]]:
    """Fetch data from a specified source.
    
    Args:
        source: Data source URL or identifier
    Returns:
        List of fetched data records
    """
    # Simulating data fetch
    return [{'id': '1', 'components': ['A', 'B']}, {'id': '2', 'components': ['C', 'D']}]

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
    """
    # Simulating database save operation
    logger.info('Records saved to database')

async def call_api(endpoint: str, data: Dict[str, Any]) -> None:
    """Call an external API with the given data.
    
    Args:
        endpoint: API endpoint
        data: Data to send
    Raises:
        Exception: If API call fails
    """
    logger.info(f'Calling API at {endpoint} with data: {data}')

async def handle_errors(func):
    """Decorator for handling errors with retry logic.
    
    Args:
        func: Function to wrap
    """
    async def wrapper(*args, **kwargs):
        attempts = 0
        while attempts < Config.retry_attempts:
            try:
                return await func(*args, **kwargs)
            except Exception as e:
                attempts += 1
                logger.error(f'Error: {e}, retrying in {Config.retry_delay} seconds...')
                time.sleep(Config.retry_delay)
        raise Exception('Max retry attempts exceeded')
    return wrapper

class AssemblyVerification:
    """Main orchestrator for assembly verification processes.
    """
    async def run(self, source: str) -> None:
        """Execute the assembly verification workflow.
        
        Args:
            source: Data source to fetch assembly data
        """
        try:
            raw_data = await fetch_data(source)  # Fetch data
            for data in raw_data:
                await validate_input(data)  # Validate input
                sanitized_data = await sanitize_fields(data)  # Sanitize fields
                processed_data = await transform_records(sanitized_data)  # Transform records
                await save_to_db(processed_data)  # Save to database
        except ValueError as ve:
            logger.error(f'Validation error: {ve}')
        except Exception as e:
            logger.error(f'An error occurred: {e}')

if __name__ == '__main__':
    # Example usage
    agent = AssemblyVerification()
    import asyncio
    asyncio.run(agent.run('http://data-source'))