Generate Controlled Equipment Inspection Reports with Grammar-Constrained LLMs Using Guidance and Instructor

"""
Production implementation for generating controlled equipment inspection reports.
Provides secure, scalable operations using Grammar-Constrained LLMs.
"""

from typing import Dict, Any, List
import os
import logging
import time
import json
import requests

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

class Config:
    """
    Configuration settings for the application.
    Loads environment variables for sensitive configurations.
    """
    database_url: str = os.getenv('DATABASE_URL')
    api_url: str = os.getenv('API_URL')

async def validate_input(data: Dict[str, Any]) -> bool:
    """
    Validate request data for inspection reports.
    
    Args:
        data: Input to validate
    Returns:
        True if valid
    Raises:
        ValueError: If validation fails
    """
    if 'equipment_id' not in data:
        raise ValueError('Missing equipment_id')  # Ensure equipment_id is present
    if 'inspection_date' not in data:
        raise ValueError('Missing inspection_date')  # Ensure inspection_date is present
    return True  # Validation succeeded

async def sanitize_fields(data: Dict[str, Any]) -> Dict[str, Any]:
    """
    Sanitize input fields to prevent injection attacks.
    
    Args:
        data: Raw input data
    Returns:
        Sanitized data
    """
    sanitized_data = {key: str(value).strip() for key, value in data.items()}  # Strip whitespace
    return sanitized_data  # Return sanitized data

async def fetch_data(equipment_id: str) -> Dict[str, Any]:
    """
    Fetch equipment data from the database.
    
    Args:
        equipment_id: The ID of the equipment
    Returns:
        Equipment data
    Raises:
        ConnectionError: If data fetch fails
    """
    try:
        response = requests.get(f'{Config.api_url}/equipment/{equipment_id}')
        response.raise_for_status()  # Raise error for bad responses
        return response.json()  # Return the JSON data
    except requests.RequestException as e:
        logger.error(f'Error fetching data: {e}')  # Log error
        raise ConnectionError('Failed to fetch data')  # Raise connection error

async def transform_records(raw_data: Dict[str, Any]) -> Dict[str, Any]:
    """
    Transform raw data into the desired format for reports.
    
    Args:
        raw_data: Raw equipment data
    Returns:
        Transformed data for report
    """
    transformed_data = {
        'id': raw_data['id'],
        'name': raw_data['name'],
        'status': raw_data['status'],
        'last_inspection': raw_data['last_inspection'],
    }  # Transforming data
    return transformed_data  # Return transformed data

async def save_to_db(report: Dict[str, Any]) -> None:
    """
    Save the generated inspection report to the database.
    
    Args:
        report: Inspection report data to save
    Raises:
        Exception: If saving fails
    """
    try:
        # Simulate saving to database
        with open('report.json', 'w') as f:
            json.dump(report, f)  # Write report to JSON file
        logger.info('Report saved successfully')  # Log success
    except Exception as e:
        logger.error(f'Error saving report: {e}')  # Log error
        raise Exception('Failed to save report')  # Raise exception

async def aggregate_metrics(reports: List[Dict[str, Any]]) -> Dict[str, Any]:
    """
    Aggregate metrics from multiple reports.
    
    Args:
        reports: List of reports to aggregate
    Returns:
        Aggregated metrics
    """
    metrics = {'total_reports': len(reports)}  # Count total reports
    return metrics  # Return aggregated metrics

async def call_api(data: Dict[str, Any]) -> str:
    """
    Call external API to analyze inspection data.
    
    Args:
        data: Data to analyze
    Returns:
        Analysis result
    Raises:
        ValueError: If API call fails
    """
    try:
        response = requests.post(f'{Config.api_url}/analyze', json=data)
        response.raise_for_status()  # Raise error for bad responses
        return response.text  # Return analysis result
    except requests.RequestException as e:
        logger.error(f'Error calling API: {e}')  # Log error
        raise ValueError('API call failed')  # Raise value error

async def handle_errors(func):
    """
    Decorator to handle errors for async functions.
    
    Args:
        func: The async function to wrap
    Returns:
        Wrapped function
    """
    async def wrapper(*args, **kwargs):
        try:
            return await func(*args, **kwargs)  # Call the wrapped function
        except Exception as e:
            logger.error(f'Error in {func.__name__}: {e}')  # Log error
            return None  # Return None on error
    return wrapper

class InspectionReportGenerator:
    """
    Main class to generate inspection reports.
    """

    async def generate_report(self, data: Dict[str, Any]) -> None:
        """
        Generate an inspection report based on input data.
        
        Args:
            data: Input data for report generation
        """
        await validate_input(data)  # Validate input data
        sanitized_data = await sanitize_fields(data)  # Sanitize input data
        equipment_data = await fetch_data(sanitized_data['equipment_id'])  # Fetch data
        transformed_data = await transform_records(equipment_data)  # Transform fetched data
        report = {**transformed_data, 'inspection_date': sanitized_data['inspection_date']}  # Create report
        await save_to_db(report)  # Save report

if __name__ == '__main__':
    # Example usage
    generator = InspectionReportGenerator()  # Create generator instance
    test_data = {'equipment_id': '12345', 'inspection_date': '2023-10-01'}  # Sample input data
    # Run the report generation process
    import asyncio
    asyncio.run(generator.generate_report(test_data))  # Execute report generation