Build Searchable Archives of Engineering Technical Drawings with MinerU and LlamaIndex

"""
Production implementation for building searchable archives of engineering technical drawings.
This module provides secure, scalable operations using MinerU and LlamaIndex.
"""

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

# Logger setup for tracking information and errors.
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

class Config:
    """
    Configuration class for environment settings.
    Loads configuration from environment variables.
    """
    database_url: str = os.getenv('DATABASE_URL')
    mineru_api_key: str = os.getenv('MINERU_API_KEY')
    llama_index_url: str = os.getenv('LLAMA_INDEX_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 'drawing_id' not in data:
        raise ValueError('Missing drawing_id')  # Must include drawing ID
    if 'file_path' not in data:
        raise ValueError('Missing file_path')  # Must include path to drawing file
    return True  # Data is valid

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 = {key: str(value).strip() for key, value in data.items()}
    logger.info('Sanitized input data: %s', sanitized)
    return sanitized

async def fetch_data(url: str) -> Dict[str, Any]:
    """Fetch data from a given URL.

    Args:
        url: URL to fetch data from
    Returns:
        Parsed JSON response
    Raises:
        Exception: If the request fails
    """
    try:
        response = requests.get(url)
        response.raise_for_status()  # Raise an error for bad responses
        return response.json()  # Return parsed JSON data
    except requests.RequestException as e:
        logger.error('Error fetching data: %s', e)  # Log the error
        raise Exception('Failed to fetch data')

async def save_to_db(data: Dict[str, Any]) -> None:
    """Save processed data to the database.

    Args:
        data: Data to save
    Raises:
        Exception: If the database operation fails
    """
    # Simulating database saving logic here
    logger.info('Saving data to database: %s', data)
    # Database save operation would be here

async def process_batch(batch: List[Dict[str, Any]]) -> None:
    """Process a batch of drawings.

    Args:
        batch: List of drawing data to process
    """
    for drawing in batch:
        try:
            await validate_input(drawing)  # Validate each drawing
            sanitized_data = await sanitize_fields(drawing)  # Sanitize input
            await save_to_db(sanitized_data)  # Save to database
            logger.info('Processed drawing: %s', sanitized_data['drawing_id'])
        except Exception as e:
            logger.error('Failed to process drawing %s: %s', drawing, e)  # Log error

async def call_api(endpoint: str, data: Dict[str, Any]) -> None:
    """Call an external API with data.

    Args:
        endpoint: API endpoint to call
        data: Data to send in the request
    Raises:
        Exception: If the API call fails
    """
    try:
        response = requests.post(endpoint, json=data)
        response.raise_for_status()
        logger.info('API call successful: %s', response.json())
    except requests.RequestException as e:
        logger.error('API call failed: %s', e)
        raise Exception('Failed to call API')

async def format_output(data: Dict[str, Any]) -> str:
    """Format the output data as a JSON string.

    Args:
        data: Data to format
    Returns:
        JSON formatted string
    """
    return json.dumps(data, indent=2)

async def handle_errors(func):
    """Decorator to handle errors in asynchronous functions.

    Args:
        func: Async function to wrap
    """
    async def wrapper(*args, **kwargs):
        try:
            return await func(*args, **kwargs)
        except Exception as e:
            logger.error('Error in function %s: %s', func.__name__, e)
            return None  # Handle gracefully
    return wrapper

class ArchiveManager:
    """Main orchestrator for managing archives of engineering drawings.
    This class ties together all helper functions to provide a complete workflow.
    """

    @handle_errors
    async def process_drawings(self, drawings: List[Dict[str, Any]]) -> None:
        """Process a list of drawings.

        Args:
            drawings: List of drawing metadata to process
        """
        await process_batch(drawings)  # Process each drawing

if __name__ == '__main__':
    # Example usage of ArchiveManager
    manager = ArchiveManager()
    example_drawings = [
        {'drawing_id': '123', 'file_path': '/path/to/drawing1.pdf'},
        {'drawing_id': '456', 'file_path': '/path/to/drawing2.pdf'},
    ]
    import asyncio
    asyncio.run(manager.process_drawings(example_drawings))  # Run the async processing