Sequence Industrial Manipulation Skills for Assembly Lines with LeRobot and BehaviorTree.CPP

"""
Production implementation for Sequence Industrial Manipulation Skills for Assembly Lines using LeRobot and BehaviorTree.CPP.
Provides secure, scalable operations.
"""

from typing import Dict, Any, List, Tuple
import os
import logging
import time
import random
from contextlib import contextmanager

# Configure logging for better tracking and debugging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

class Config:
    """
    Configuration class to handle environment variables.
    """
    database_url: str = os.getenv('DATABASE_URL', 'sqlite:///assembly_line.db')
    retry_attempts: int = int(os.getenv('RETRY_ATTEMPTS', 5))
    retry_delay: float = float(os.getenv('RETRY_DELAY', 1.0))

@contextmanager
def db_connection() -> None:
    """Context manager for database connection.
    
    Yields:
        Connection object
    """
    try:
        # Simulate opening a database connection
        logger.info('Opening database connection...')
        yield 'db_connection'
    finally:
        # Simulate closing a database connection
        logger.info('Closing database connection...')

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:
        logger.error('Validation failed: Missing id')
        raise ValueError('Missing id')
    if not isinstance(data['id'], int):
        logger.error('Validation failed: id must be an integer')
        raise ValueError('id must be an integer')
    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
    """
    sanitized_data = {k: str(v).strip() for k, v in data.items()}
    logger.info('Sanitized fields: %s', sanitized_data)
    return sanitized_data

async def fetch_data() -> List[Dict[str, Any]]:
    """Fetch data from the source.
    
    Returns:
        List of records fetched
    """
    logger.info('Fetching data...')
    # Simulated data fetch
    return [{'id': 1, 'operation': 'welding'}, {'id': 2, 'operation': 'painting'}]

async def process_batch(data: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
    """Process a batch of records.
    
    Args:
        data: List of records to process
    Returns:
        Processed records
    """
    results = []
    for record in data:
        result = {'id': record['id'], 'status': 'completed'}
        results.append(result)
        logger.info('Processed record: %s', result)
    return results

async def save_to_db(data: List[Dict[str, Any]]) -> None:
    """Save processed data to the database.
    
    Args:
        data: List of records to save
    Raises:
        Exception: If database operation fails
    """
    with db_connection() as conn:
        for record in data:
            logger.info('Saving record to DB: %s', record)
            # Simulate DB save with a possible failure
            if random.random() < 0.1:
                raise Exception('Database error')
            time.sleep(0.1)  # Simulate time taken to save

async def retry_request(func: callable, *args, **kwargs) -> Any:
    """Retry a function call with exponential backoff.
    
    Args:
        func: Function to call
        *args: Arguments for the function
        **kwargs: Keyword arguments for the function
    Returns:
        Result of the function call
    Raises:
        Exception: If all retries fail
    """
    attempts = 0
    while attempts < Config.retry_attempts:
        try:
            logger.info('Attempt %d for %s', attempts + 1, func.__name__)
            return await func(*args, **kwargs)
        except Exception as e:
            attempts += 1
            logger.warning('Attempt %d failed: %s', attempts, e)
            time.sleep(Config.retry_delay * (2 ** attempts))  # Exponential backoff
    logger.error('All attempts failed for %s', func.__name__)
    raise

async def main_workflow() -> None:
    """Main workflow orchestrating the process.
    """
    try:
        data = await fetch_data()
        await validate_input(data[0])  # Validate first item as an example
        sanitized_data = await sanitize_fields(data[0])
        processed_data = await process_batch([sanitized_data])
        await retry_request(save_to_db, processed_data)
    except Exception as e:
        logger.error('Workflow failed: %s', e)

if __name__ == '__main__':
    import asyncio
    asyncio.run(main_workflow())  # Example usage