Monitor Predictive Maintenance Agents with smolagents and Semantic Kernel

                      
                     
"""
Production implementation for monitoring predictive maintenance agents
using smolagents and Semantic Kernel. Provides secure, scalable operations.
"""

from typing import Dict, Any, List
import os
import logging
import httpx
import time
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker, Session

# Logger setup for monitoring application activity
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Database setup with SQLAlchemy
Base = declarative_base()
engine = create_engine(os.getenv('DATABASE_URL'))
session_factory = sessionmaker(bind=engine)

class Config:
    database_url: str = os.getenv('DATABASE_URL')

class MaintenanceAgent(Base):
    """Database model for maintenance agents."""
    __tablename__ = 'maintenance_agents'
    id = Column(Integer, primary_key=True)
    name = Column(String, nullable=False)
    status = Column(String, nullable=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
    """
    if 'id' not in data:
        raise ValueError('Missing id') # Ensure essential data is present
    return True

async def sanitize_fields(data: Dict[str, Any]) -> Dict[str, Any]:
    """Sanitize input fields to prevent injection attacks.
    
    Args:
        data: Input data
    Returns:
        Sanitized data
    """
    sanitized_data = {k: v.strip() for k, v in data.items() if isinstance(v, str)}
    return sanitized_data

async def fetch_data(agent_id: int) -> MaintenanceAgent:
    """Fetch maintenance agent from the database.
    
    Args:
        agent_id: ID of the agent to fetch
    Returns:
        MaintenanceAgent object
    Raises:
        Exception: If agent not found
    """
    with session_factory() as session:
        agent = session.query(MaintenanceAgent).filter(MaintenanceAgent.id == agent_id).first()
        if not agent:
            raise Exception(f'Agent with ID {agent_id} not found')
        return agent

async def process_batch(agents: List[MaintenanceAgent]) -> None:
    """Process a batch of maintenance agents for monitoring.
    
    Args:
        agents: List of agents to process
    Returns:
        None
    """
    for agent in agents:
        logger.info(f'Processing agent: {agent.name}')  # Log processing
        # Here, implement logic to monitor the agent

async def save_to_db(agent: MaintenanceAgent) -> None:
    """Save the agent status to the database.
    
    Args:
        agent: The agent to save
    Returns:
        None
    """
    with session_factory() as session:
        session.add(agent)
        session.commit()  # Persist changes to the database

async def call_api(url: str, payload: Dict[str, Any]) -> Dict[str, Any]:
    """Call external API to send monitoring data.
    
    Args:
        url: API endpoint
        payload: Data to send
    Returns:
        Response data
    Raises:
        httpx.HTTPStatusError: If API call fails
    """
    async with httpx.AsyncClient() as client:
        response = await client.post(url, json=payload)
        response.raise_for_status()  # Raise error for bad responses
        return response.json()

async def format_output(data: Dict[str, Any]) -> str:
    """Format output data for logging or display.
    
    Args:
        data: Data to format
    Returns:
        Formatted string
    """
    return f'Agent Status: {data}'  # Simple formatting example

async def handle_errors(func, *args, retries: int = 3, delay: int = 2) -> Any:
    """Handle errors with retry logic.
    
    Args:
        func: Function to execute
        args: Arguments for the function
        retries: Number of retry attempts
        delay: Delay between attempts
    Returns:
        Result of the function
    Raises:
        Exception: If all retries fail
    """
    for attempt in range(retries):
        try:
            return await func(*args)
        except Exception as e:
            logger.error(f'Attempt {attempt + 1} failed: {e}')
            time.sleep(delay * (2 ** attempt))  # Exponential backoff
    raise Exception('Max retries exceeded')

class MaintenanceMonitor:
    """Main orchestrator for monitoring maintenance agents."""

    def __init__(self):
        self.agents: List[MaintenanceAgent] = []  # List to hold agents

    async def monitor_agents(self) -> None:
        """Monitor maintenance agents and process their data."""
        try:
            # Fetch agents from the database
            for agent_id in [1, 2, 3]:  # Example agent IDs
                await handle_errors(fetch_data, agent_id)
            await process_batch(self.agents)  # Process fetched agents
        except Exception as e:
            logger.error(f'Error during monitoring: {e}')  # Log any errors encountered

if __name__ == '__main__':
    # Example usage of the monitoring functionality
    import asyncio
    monitor = MaintenanceMonitor()
    asyncio.run(monitor.monitor_agents())