from pathlib import Path from docling.backend.docling_parse_backend import DoclingParseDocumentBackend from docling.datamodel.document import ConversionResult from docling.datamodel.pipeline_options import PipelineOptions from docling.document_converter import DocumentConverter from .verify_utils import verify_conversion_result GENERATE = False # Debug def save_output(pdf_path: Path, doc_result: ConversionResult): r""" """ import json import os parent = pdf_path.parent dict_fn = os.path.join(parent, f"{pdf_path.stem}.json") with open(dict_fn, "w") as fd: json.dump(doc_result.render_as_dict(), fd) pages_fn = os.path.join(parent, f"{pdf_path.stem}.pages.json") pages = [p.model_dump() for p in doc_result.pages] with open(pages_fn, "w") as fd: json.dump(pages, fd) doctags_fn = os.path.join(parent, f"{pdf_path.stem}.doctags.txt") with open(doctags_fn, "w") as fd: fd.write(doc_result.render_as_doctags()) md_fn = os.path.join(parent, f"{pdf_path.stem}.md") with open(md_fn, "w") as fd: fd.write(doc_result.render_as_markdown()) def get_pdf_paths(): # TODO: Debug # Define the directory you want to search # directory = Path("./tests/data") directory = Path("./tests/data/scanned") # List all PDF files in the directory and its subdirectories pdf_files = sorted(directory.rglob("*.pdf")) return pdf_files def get_converter(): pipeline_options = PipelineOptions() # Debug pipeline_options.do_ocr = True pipeline_options.do_table_structure = True pipeline_options.table_structure_options.do_cell_matching = True converter = DocumentConverter( pipeline_options=pipeline_options, pdf_backend=DoclingParseDocumentBackend, ) return converter def test_e2e_conversions(): pdf_paths = get_pdf_paths() converter = get_converter() for pdf_path in pdf_paths: print(f"converting {pdf_path}") doc_result: ConversionResult = converter.convert_single(pdf_path) # Debug verify_conversion_result( input_path=pdf_path, doc_result=doc_result, generate=GENERATE )