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