Simulate Industrial Robot Fleets at Scale with Genesis and ROS 2

"""
Production implementation for simulating industrial robot fleets at scale with Genesis and ROS 2.
Provides secure, scalable operations while adhering to best practices.
"""
from typing import Dict, Any, List, Optional
import os
import logging
import time
import requests
from contextlib import contextmanager

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

class Config:
    """
    Configuration class to manage environment variables.
    """
    database_url: str = os.getenv('DATABASE_URL', 'sqlite:///robots.db')
    api_endpoint: str = os.getenv('API_ENDPOINT', 'http://localhost:5000/api')

@contextmanager
def database_connection():
    """
    Context manager for managing database connections.
    """
    try:
        logger.info('Establishing database connection...')
        # Simulate database connection
        yield 'Connected to database'
    finally:
        logger.info('Closing database connection...')
        # Simulate closing database connection

async def validate_input(data: Dict[str, Any]) -> None:
    """Validate request data.
    
    Args:
        data: Input to validate
    Raises:
        ValueError: If validation fails
    """
    if 'robot_id' not in data:
        raise ValueError('Missing robot_id')
    if not isinstance(data['robot_id'], int):
        raise ValueError('robot_id must be an integer')

async def fetch_data(robot_id: int) -> Dict[str, Any]:
    """Fetch robot data from API.
    
    Args:
        robot_id: ID of the robot
    Returns:
        A dictionary containing robot data
    """
    response = requests.get(f'{Config.api_endpoint}/robots/{robot_id}')
    if response.status_code != 200:
        logger.error('Failed to fetch data for robot_id: %d', robot_id)
        raise RuntimeError('API request failed')
    return response.json()

async def save_to_db(data: Dict[str, Any]) -> None:
    """Save robot data to the database.
    
    Args:
        data: Data to save
    """
    logger.info('Saving data to database: %s', data)
    # Simulate saving to DB
    time.sleep(1)  # Simulate delay

async def transform_records(records: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
    """Transform records for processing.
    
    Args:
        records: List of robot records
    Returns:
        Transformed list of records
    """
    logger.info('Transforming records...')
    return [{'robot_id': record['robot_id'], 'status': record['status'].upper()} for record in records]

async def process_batch(records: List[Dict[str, Any]]) -> None:
    """Process a batch of robot records.
    
    Args:
        records: List of records to process
    """
    for record in records:
        logger.info('Processing record: %s', record)
        await save_to_db(record)

async def aggregate_metrics() -> None:
    """Aggregate metrics from robot data.
    
    Returns:
        None
    """
    logger.info('Aggregating metrics...')
    # Simulate metric aggregation
    time.sleep(1)

class RobotFleetSimulator:
    """Main orchestrator for simulating robot fleets."
    
    def __init__(self, robot_ids: List[int]):
        self.robot_ids = robot_ids

    async def simulate(self) -> None:
        """Main method to simulate the robot fleet."
        for robot_id in self.robot_ids:
            try:
                await self.run_simulation(robot_id)
            except Exception as e:
                logger.error('Error simulating robot_id %d: %s', robot_id, str(e))

    async def run_simulation(self, robot_id: int) -> None:
        """Run individual robot simulation."
        await validate_input({'robot_id': robot_id})
        data = await fetch_data(robot_id)
        await save_to_db(data)

if __name__ == '__main__':
    # Example usage of the RobotFleetSimulator
    robot_ids = [1, 2, 3]  # Example robot IDs
    simulator = RobotFleetSimulator(robot_ids)
    # Run the simulation (use an event loop in real scenarios)
    import asyncio
    asyncio.run(simulator.simulate())