"""
gradio.py

Functions for handling Gradio UI interactions and processing user inputs.
"""

import logging
from functions.linkedin_resume import extract_text_from_linkedin_pdf
from functions.github import get_github_repositories
from functions.writer_agent import write_resume

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


def process_inputs(linkedin_pdf, github_url, job_post_text, user_instructions):
    """
    Process the input files and URLs from the Gradio interface.
    
    Args:
        linkedin_pdf: Uploaded LinkedIn resume export PDF file
        github_url (str): GitHub profile URL  
        job_post_text (str): Job post text content
        user_instructions (str): Additional instructions from the user
    
    Returns:
        str: Formatted output with file and URL information
    """
    result = ""
    extraction_result = None
    logger.info("Processing user inputs from Gradio interface")
    
    # Process LinkedIn PDF file
    if linkedin_pdf is not None:
        result += "✅ LinkedIn Resume PDF uploaded\n"
        logger.info(f"Processing LinkedIn PDF: {linkedin_pdf.name}")
        
        # Extract and structure text from the PDF
        extraction_result = extract_text_from_linkedin_pdf(linkedin_pdf.name)
        
        if extraction_result["status"] == "success":
            result += " ✅ Text extraction successful\n\n"
            logger.info("LinkedIn PDF text extraction successful")

        elif extraction_result["status"] == "warning":
            result += f" ⚠️  Text extraction: {extraction_result['message']}\n\n"
            logger.warning(f"LinkedIn PDF extraction warning: {extraction_result['message']}")
        else:
            result += f" ❌ Text extraction failed: {extraction_result['message']}\n\n"
            logger.error(f"LinkedIn PDF extraction failed: {extraction_result['message']}")
    else:
        result += "❌ No LinkedIn resume PDF file uploaded\n\n"
        logger.info("No LinkedIn PDF file provided")
    
    # Process GitHub profile
    if github_url and github_url.strip():
        result += "✅ GitHub Profile URL provided\n"
        logger.info(f"Processing GitHub URL: {github_url}")
        
        # Retrieve repositories from GitHub
        github_result = get_github_repositories(github_url)
        
        if github_result["status"] == "success":
            result += "  ✅ GitHub list download successful\n\n"
            logger.info(f"GitHub repositories retrieved successfully for {github_result['metadata']['username']}")
            
        else:
            result += f"  ❌ GitHub extraction failed: {github_result['message']}\n\n"
            logger.error(f"GitHub extraction failed: {github_result['message']}")
    else:
        result += "❌ No GitHub profile URL provided\n\n"
        logger.info("No GitHub URL provided")
    
    # Process job post text
    if job_post_text and job_post_text.strip():
        result += "✅ Job post text provided\n"
        logger.info(f"Job post text provided ({len(job_post_text)} characters)")
    else:
        result += "❌ Job post not provided\n"
        logger.info("No job post text provided")

    # Process user instructions
    if user_instructions and user_instructions.strip():
        result += "✅ Additional instructions provided\n"
        logger.info(f"User instructions provided ({len(user_instructions)} characters)")
    else:
        result += "ℹ️ No additional instructions provided\n"
        logger.info("No additional instructions provided")

    logger.info("Input processing completed")

    # Generate resume only if we have valid extraction result
    if extraction_result and extraction_result.get("status") == "success":
        try:
            resume = write_resume(extraction_result, user_instructions)
            result += f"\n✅ Resume generated successfully\n"
            logger.info("Resume generation completed successfully")
        except Exception as e:
            result += f"\n❌ Resume generation failed: {str(e)}\n"
            logger.error(f"Resume generation failed: {str(e)}")
    else:
        result += f"\n❌ Cannot generate resume: No valid LinkedIn data extracted\n"
        result += "Please ensure you upload a valid LinkedIn PDF export file.\n"
        logger.warning("Resume generation skipped - no valid LinkedIn data available")
    
    return result


def get_processed_data(linkedin_pdf, github_url, job_post_text, user_instructions):
    """
    Get structured data from all inputs for further processing.
    
    Args:
        linkedin_pdf: Uploaded LinkedIn resume export PDF file
        github_url (str): GitHub profile URL  
        job_post_text (str): Job post text content
        user_instructions (str): Additional instructions from the user
    
    Returns:
        dict: Structured data containing all processed information
    """
    processed_data = {
        "linkedin": None,
        "github": None,
        "job_post": job_post_text.strip() if job_post_text and job_post_text.strip() else None,
        "user_instructions": user_instructions.strip() if user_instructions and user_instructions.strip() else None,
        "errors": []
    }
    
    # Process LinkedIn PDF
    if linkedin_pdf is not None:
        extraction_result = extract_text_from_linkedin_pdf(linkedin_pdf.name)
        if extraction_result["status"] == "success":
            processed_data["linkedin"] = extraction_result
        else:
            processed_data["errors"].append(f"LinkedIn: {extraction_result['message']}")
    
    # Process GitHub profile
    if github_url and github_url.strip():
        github_result = get_github_repositories(github_url)
        if github_result["status"] == "success":
            processed_data["github"] = github_result
        else:
            processed_data["errors"].append(f"GitHub: {github_result['message']}")
    
    return processed_data