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