Fine-Tune OpenVLA for Dexterous Industrial Assembly Tasks with OpenVLA and MoveIt 2

"""
Production implementation for Fine-Tune OpenVLA for Dexterous Industrial Assembly Tasks.
Provides secure, scalable operations.
"""
from typing import Dict, Any, List
import os
import logging
import time
import requests
from contextlib import contextmanager

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

class Config:
    """
    Configuration class for environment variables.
    """
    database_url: str = os.getenv('DATABASE_URL')
    api_url: str = os.getenv('API_URL')

@contextmanager
def connect_to_database():
    """
    Context manager for database connection pooling.
    """ 
    try:
        # Simulate a database connection
        logger.info("Connecting to the database...")
        yield True  # Replace with actual connection object
    except Exception as e:
        logger.error(f"Database connection failed: {e}")
        raise
    finally:
        logger.info("Closing database connection...")
        # Close the connection here

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 'task_id' not in data:
        raise ValueError('Missing task_id')
    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
    """
    # Simulate sanitization
    return {k: str(v).strip() for k, v in data.items()}

async def fetch_data(api_endpoint: str) -> List[Dict[str, Any]]:
    """Fetch data from external API.
    
    Args:
        api_endpoint: The API endpoint to fetch data from
    Returns:
        List of records
    Raises:
        ConnectionError: If fetching fails
    """
    try:
        response = requests.get(api_endpoint)
        response.raise_for_status()  # Raise an error for bad responses
        return response.json()
    except requests.RequestException as e:
        logger.error(f"Error fetching data: {e}")
        raise ConnectionError("Failed to fetch data")

async def process_batch(batch: List[Dict[str, Any]]) -> None:
    """Process a batch of tasks.
    
    Args:
        batch: List of tasks to process
    Returns:
        None
    """
    for task in batch:
        # Simulate processing
        logger.info(f"Processing task: {task['task_id']}")
        time.sleep(1)  # Simulate processing time

async def aggregate_metrics(metrics: List[Dict[str, Any]]) -> Dict[str, Any]:
    """Aggregate metrics from processed tasks.
    
    Args:
        metrics: List of metrics to aggregate
    Returns:
        Aggregated metrics
    """
    aggregated = {}  # Aggregate logic here
    return aggregated

async def save_to_db(data: Dict[str, Any]) -> None:
    """Save processed data to the database.
    
    Args:
        data: Data to save
    Returns:
        None
    Raises:
        Exception: If saving fails
    """
    try:
        with connect_to_database() as conn:
            logger.info(f"Saving data to DB: {data}")
            # Save logic here
    except Exception as e:
        logger.error(f"Error saving to database: {e}")
        raise

async def call_api(data: Dict[str, Any]) -> None:
    """Call an external API with processed data.
    
    Args:
        data: Data to send to the API
    Returns:
        None
    Raises:
        Exception: If API call fails
    """
    try:
        response = requests.post(Config.api_url, json=data)
        response.raise_for_status()
    except requests.RequestException as e:
        logger.error(f"Error calling API: {e}")
        raise

class OpenVLAOrchestrator:
    """Orchestrator for handling OpenVLA tasks.
    """
    async def run(self, task_data: Dict[str, Any]) -> None:
        """Main workflow for processing OpenVLA tasks.
        
        Args:
            task_data: Input data for the task
        Returns:
            None
        """
        try:
            await validate_input(task_data)  # Validate input
            sanitized_data = await sanitize_fields(task_data)  # Sanitize input
            batch = await fetch_data(Config.api_url)  # Fetch data
            await process_batch(batch)  # Process each task
            metrics = await aggregate_metrics(batch)  # Aggregate metrics
            await save_to_db(metrics)  # Save results
            await call_api(metrics)  # Call external API
        except ValueError as ve:
            logger.error(f"Validation error: {ve}")
        except Exception as e:
            logger.error(f"An error occurred: {e}")

if __name__ == '__main__':
    import asyncio
    orchestrator = OpenVLAOrchestrator()
    task_example = {'task_id': '123', 'details': 'Some task details'}
    asyncio.run(orchestrator.run(task_example))