Generate Structured Compliance Reports from LLMs with Instructor and LangChain

                      
                     
"""
Production implementation for generating structured compliance reports using LLMs with Instructor and LangChain.
Provides secure and scalable operations.
"""
from typing import Dict, Any, List, Tuple
import os
import logging
import time
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel, ValidationError

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

class Config:
    database_url: str = os.getenv('DATABASE_URL')
    retry_attempts: int = 3
    retry_delay: int = 2  # seconds

class ComplianceReportRequest(BaseModel):
    data: List[Dict[str, Any]]

async def validate_input(data: List[Dict[str, Any]]) -> bool:
    """Validate input data for compliance report generation.
    
    Args:
        data: List of records to validate
    Returns:
        True if valid
    Raises:
        ValueError: If validation fails
    """
    if not isinstance(data, list) or not data:
        raise ValueError('Input data must be a non-empty list.')
    for record in data:
        if 'id' not in record or 'content' not in record:
            raise ValueError('Each record must contain an id and content.')
    return True

async def sanitize_fields(record: Dict[str, Any]) -> Dict[str, Any]:
    """Sanitize fields in a record to prevent injection vulnerabilities.
    
    Args:
        record: The record to sanitize
    Returns:
        Sanitized record
    """
    return {k: str(v).strip() for k, v in record.items()}  # Strip whitespace

async def transform_records(records: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
    """Transform records for compliance processing.
    
    Args:
        records: List of records to transform
    Returns:
        Transformed records
    """
    return [await sanitize_fields(record) for record in records]

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

async def process_report(data: List[Dict[str, Any]]) -> Dict[str, Any]:
    """Process the compliance report generation.
    
    Args:
        data: List of sanitized records
    Returns:
        Generated report data
    Raises:
        Exception: If processing fails
    """
    endpoint = os.getenv('LLM_API_ENDPOINT')
    payload = {'records': data}
    return await call_api(endpoint, payload)

async def save_to_db(report: Dict[str, Any]) -> None:
    """Save the generated report to the database.
    
    Args:
        report: Report data to save
    Raises:
        Exception: If saving fails
    """
    logger.info('Saving report to database...')
    # Simulate DB save with a print statement (replace with actual DB logic)
    print(f'Saving report: {report}')  # Placeholder for actual database logic

app = FastAPI()

@app.post('/generate-report/', response_model=Dict[str, Any])
async def generate_compliance_report(request: ComplianceReportRequest) -> Dict[str, Any]:
    """Endpoint to generate a compliance report.
    
    Args:
        request: Compliance report request containing data
    Returns:
        Generated report
    Raises:
        HTTPException: If processing fails
    """
    try:
        await validate_input(request.data)  # Validate input data
        sanitized_data = await transform_records(request.data)  # Sanitize and transform data
        report = await process_report(sanitized_data)  # Process report
        await save_to_db(report)  # Save report to DB
        return report  # Return the generated report
    except ValueError as ve:
        logger.error(f'Validation error: {ve}')
        raise HTTPException(status_code=400, detail=str(ve))  # Bad request
    except Exception as e:
        logger.error(f'Error generating report: {e}')
        raise HTTPException(status_code=500, detail='Internal Server Error')  # Internal error

if __name__ == '__main__':
    import uvicorn
    uvicorn.run(app, host='0.0.0.0', port=8000)

    # Example usage of the functions within the main block
    # This is for demonstration; in production, FastAPI will handle requests.
    example_data = [{'id': '1', 'content': 'Sample content 1'}, {'id': '2', 'content': 'Sample content 2'}]
    request = ComplianceReportRequest(data=example_data)
    report = await generate_compliance_report(request)
    print(report)  # Print the generated report for demonstration purposes