from pdf2image import convert_from_path
import os
import json
from pathlib import Path
import tempfile
import base64

class PDFProcessor:
    def __init__(self, input_dir, output_dir):
        self.input_dir = Path(input_dir)
        self.output_dir = Path(output_dir)
        self.output_dir.mkdir(parents=True, exist_ok=True)
        self.temp_dir = Path(tempfile.mkdtemp())
        self.batch_size = 5  # Number of images to process at once

    def encode_image(self, image_path):
        """Convert image to base64 for analysis"""
        with open(image_path, 'rb') as image_file:
            return base64.b64encode(image_file.read()).decode('utf-8')

    def process_pdfs(self):
        """Process all PDFs in the input directory"""
        pdf_files = list(self.input_dir.glob('*.pdf'))
        results = []
        current_batch = []
        
        for pdf_path in pdf_files:
            try:
                batch_item = self.prepare_single_pdf(pdf_path)
                current_batch.append(batch_item)
                
                # Process batch when it reaches batch_size
                if len(current_batch) >= self.batch_size:
                    self.process_batch(current_batch, results)
                    current_batch = []
                    
            except Exception as e:
                print(f"Error processing {pdf_path}: {str(e)}")
                results.append({
                    'pdf_path': str(pdf_path),
                    'status': 'error',
                    'error': str(e)
                })
        
        # Process remaining files in the last batch
        if current_batch:
            self.process_batch(current_batch, results)
        
        # Save final results to JSON
        with open(self.output_dir / 'processing_results.json', 'w', encoding='utf-8') as f:
            json.dump(results, f, indent=4, ensure_ascii=False)
        
        return results

    def prepare_single_pdf(self, pdf_path):
        """Prepare a single PDF file for analysis"""
        print(f"Preparing: {pdf_path}")
        
        # Convert first page to image
        images = convert_from_path(pdf_path, first_page=1, last_page=1)
        if not images:
            raise Exception("Could not extract first page")
        
        # Save first page image
        first_page = images[0]
        image_path = self.temp_dir / f"{pdf_path.stem}_page1.jpg"
        first_page.save(str(image_path), 'JPEG')
        
        return {
            'pdf_path': str(pdf_path),
            'image_path': str(image_path)
        }

    def process_batch(self, batch_items, results):
        """Process a batch of prepared PDFs"""
        print(f"\nProcessing batch of {len(batch_items)} files...")
        
        # Here you would interact with me (Claude) to analyze the images
        # For each image in the batch:
        for item in batch_items:
            image_path = item['image_path']
            pdf_path = item['pdf_path']
            
            # Convert image to base64
            image_data = self.encode_image(image_path)
            
            # You would need to ask me to analyze this image
            # For now, we'll save placeholder metadata
            metadata = {
                'title': None,
                'date': None,
                'publisher': None,
                'issue_number': None,
                'confidence': 'pending_analysis'
            }
            
            results.append({
                'pdf_path': pdf_path,
                'image_path': str(image_path),
                'metadata': metadata,
                'status': 'pending_analysis'
            })

    def save_metadata(self, results):
        """Save the extracted metadata back to PDFs or to a database"""
        # TODO: Implement metadata saving functionality
        pass

def main():
    # Example usage
    input_dir = "path/to/pdfs"
    output_dir = "path/to/output"
    
    processor = PDFProcessor(input_dir, output_dir)
    results = processor.process_pdfs()
    
    print(f"\nProcessed {len(results)} PDF files")
    print(f"Results saved to: {processor.output_dir}/processing_results.json")

if __name__ == "__main__":
    main()