import argparse import os import json from pageindex import * from pageindex.page_index_md import md_to_tree if __name__ == "__main__": # Set up argument parser parser = argparse.ArgumentParser(description='Process PDF or Markdown document and generate structure') parser.add_argument('--pdf_path', type=str, help='Path to the PDF file') parser.add_argument('--md_path', type=str, help='Path to the Markdown file') parser.add_argument('--model', type=str, default='gpt-4o-2024-11-20', help='Model to use') parser.add_argument('--toc-check-pages', type=int, default=20, help='Number of pages to check for table of contents (PDF only)') parser.add_argument('--max-pages-per-node', type=int, default=10, help='Maximum number of pages per node (PDF only)') parser.add_argument('--max-tokens-per-node', type=int, default=20000, help='Maximum number of tokens per node (PDF only)') parser.add_argument('--if-add-node-id', type=str, default='yes', help='Whether to add node id to the node') parser.add_argument('--if-add-node-summary', type=str, default='no', help='Whether to add summary to the node') parser.add_argument('--if-add-doc-description', type=str, default='no', help='Whether to add doc description to the doc') parser.add_argument('--if-add-node-text', type=str, default='no', help='Whether to add text to the node') # Markdown specific arguments parser.add_argument('--if-thinning', type=str, default='no', help='Whether to apply tree thinning for markdown (markdown only)') parser.add_argument('--thinning-threshold', type=int, default=5000, help='Minimum token threshold for thinning (markdown only)') parser.add_argument('--summary-token-threshold', type=int, default=200, help='Token threshold for generating summaries (markdown only)') args = parser.parse_args() # Validate that exactly one file type is specified if not args.pdf_path and not args.md_path: raise ValueError("Either --pdf_path or --md_path must be specified") if args.pdf_path and args.md_path: raise ValueError("Only one of --pdf_path or --md_path can be specified") if args.pdf_path: # Validate PDF file if not args.pdf_path.lower().endswith('.pdf'): raise ValueError("PDF file must have .pdf extension") if not os.path.isfile(args.pdf_path): raise ValueError(f"PDF file not found: {args.pdf_path}") # Process PDF file # Configure options opt = config( model=args.model, toc_check_page_num=args.toc_check_pages, max_page_num_each_node=args.max_pages_per_node, max_token_num_each_node=args.max_tokens_per_node, if_add_node_id=args.if_add_node_id, if_add_node_summary=args.if_add_node_summary, if_add_doc_description=args.if_add_doc_description, if_add_node_text=args.if_add_node_text ) # Process the PDF toc_with_page_number = page_index_main(args.pdf_path, opt) print('Parsing done, saving to file...') # Save results pdf_name = os.path.splitext(os.path.basename(args.pdf_path))[0] os.makedirs('./results', exist_ok=True) with open(f'./results/{pdf_name}_structure.json', 'w', encoding='utf-8') as f: json.dump(toc_with_page_number, f, indent=2) elif args.md_path: # Validate Markdown file if not args.md_path.lower().endswith(('.md', '.markdown')): raise ValueError("Markdown file must have .md or .markdown extension") if not os.path.isfile(args.md_path): raise ValueError(f"Markdown file not found: {args.md_path}") # Process markdown file print('Processing markdown file...') # Process the markdown import asyncio # Use ConfigLoader to get consistent defaults (matching PDF behavior) from pageindex.utils import ConfigLoader config_loader = ConfigLoader() # Create options dict with user args user_opt = { 'model': args.model, 'if_add_node_summary': args.if_add_node_summary, 'if_add_doc_description': args.if_add_doc_description, 'if_add_node_text': args.if_add_node_text, 'if_add_node_id': args.if_add_node_id } # Load config with defaults from config.yaml opt = config_loader.load(user_opt) toc_with_page_number = asyncio.run(md_to_tree( md_path=args.md_path, if_thinning=args.if_thinning.lower() == 'yes', min_token_threshold=args.thinning_threshold, if_add_node_summary=opt.if_add_node_summary, summary_token_threshold=args.summary_token_threshold, model=opt.model, if_add_doc_description=opt.if_add_doc_description, if_add_node_text=opt.if_add_node_text, if_add_node_id=opt.if_add_node_id )) print('Parsing done, saving to file...') # Save results md_name = os.path.splitext(os.path.basename(args.md_path))[0] os.makedirs('./results', exist_ok=True) with open(f'./results/{md_name}_structure.json', 'w', encoding='utf-8') as f: json.dump(toc_with_page_number, f, indent=2, ensure_ascii=False)