# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. # SPDX-License-Identifier: CC-BY-NC-4.0 import os from pathlib import Path from typing import List from PIL import Image import fitz from loguru import logger class AssetWriter: """Writes document assets (PDF, images, OCR text) to disk.""" def __init__(self, output_base_path: str = ".data/rvl-cdip-nmp-hf/rvl-cdip-nmp-assets"): self.output_base_path = Path(output_base_path) def save_document_assets( self, doc_type: str, doc_name: str, filename: str, pdf_bytes: bytes, text_pages: List[str] ): """Save all assets for a document: original PDF, page images, and OCR text.""" # Create directory structure: {doc_type}/{filename}/ doc_dir = self.output_base_path / doc_type / filename original_dir = doc_dir / "original" pages_dir = doc_dir / "pages" original_dir.mkdir(parents=True, exist_ok=True) # Save original PDF original_pdf_path = original_dir / filename with open(original_pdf_path, 'wb') as f: f.write(pdf_bytes) # Extract and save page images pdf_doc = fitz.open(stream=pdf_bytes, filetype="pdf") for page_num in range(len(pdf_doc)): page = pdf_doc[page_num] page_num_str = f"{page_num + 1:04d}" # Create page directory page_dir = pages_dir / page_num_str page_dir.mkdir(parents=True, exist_ok=True) # Save page image pix = page.get_pixmap(dpi=300) img_path = page_dir / f"page-{page_num_str}.png" pix.save(str(img_path)) # Save OCR text if page_num < len(text_pages): text_path = page_dir / f"page-{page_num_str}-textract.md" with open(text_path, 'w', encoding='utf-8') as f: f.write(text_pages[page_num]) pdf_doc.close() logger.debug(f"Saved assets for {doc_type}/{doc_name}")