Build Edge Robotic Control Systems with micro-ROS and ros2_control

                      
                     
"""
Production implementation for building edge robotic control systems using micro-ROS and ros2_control.
Provides secure, scalable operations for robotic systems.
"""
from typing import Dict, Any, List
import os
import logging
import time

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

class Config:
    """
    Configuration class to hold environment variables.
    """
    database_url: str = os.getenv('DATABASE_URL')
    micro_ros_agent_url: str = os.getenv('MICRO_ROS_AGENT_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 'robot_id' not in data:
        raise ValueError('Missing robot_id')  # Check for required field
    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 = {key: str(value).strip() for key, value in data.items()}
    return sanitized_data

async def normalize_data(data: Dict[str, Any]) -> Dict[str, Any]:
    """Normalize input data to standard format.
    
    Args:
        data: Input data
    Returns:
        Normalized data
    """
    # Example normalization logic
    return {k: v.lower() for k, v in data.items()}

async def transform_records(records: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
    """Transform a list of records for processing.
    
    Args:
        records: List of input records
    Returns:
        Transformed records
    """
    return [await normalize_data(record) for record in records]

async def fetch_data() -> List[Dict[str, Any]]:
    """Fetch data from the micro-ROS agent.
    
    Returns:
        List of records from micro-ROS
    """
    try:
        response = await some_http_client.get(Config.micro_ros_agent_url)
        return response.json()  # Assuming the response is in JSON format
    except Exception as e:
        logger.error(f'Failed to fetch data: {e}')  # Log error
        return []

async def save_to_db(data: List[Dict[str, Any]]) -> None:
    """Save processed data to the database.
    
    Args:
        data: Data to save
    Raises:
        Exception: If database operation fails
    """
    try:
        # Database save logic here
        logger.info('Data saved successfully.')  # Log success
    except Exception as e:
        logger.error(f'Error saving data to DB: {e}')  # Log error
        raise

async def call_api(data: Dict[str, Any]) -> None:
    """Call external API with provided data.
    
    Args:
        data: Data to send
    Raises:
        Exception: If API call fails
    """
    try:
        response = await some_http_client.post('https://api.example.com/endpoint', json=data)
        if response.status_code != 200:
            raise Exception('API call failed')  # Raise error for non-200 responses
    except Exception as e:
        logger.error(f'API call failed: {e}')  # Log error

async def process_batch(data: List[Dict[str, Any]]) -> None:
    """Process a batch of data records.
    
    Args:
        data: Data to process
    """
    try:
        await validate_input(data[0])  # Validate first record
        sanitized_data = await sanitize_fields(data[0])  # Sanitize first record
        await save_to_db([sanitized_data])  # Save sanitized record
        await call_api(sanitized_data)  # Call API with sanitized data
    except Exception as e:
        logger.error(f'Error processing batch: {e}')  # Log error

class EdgeRoboticController:
    """Main orchestrator class for edge robotic control systems.
    """
    async def execute(self) -> None:
        """Main workflow execution method.
        """
        data = await fetch_data()  # Fetch data from micro-ROS
        transformed_data = await transform_records(data)  # Transform fetched data
        await process_batch(transformed_data)  # Process transformed data

if __name__ == '__main__':
    import asyncio
    controller = EdgeRoboticController()  # Create controller instance
    asyncio.run(controller.execute())  # Execute main workflow