多格式转换

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import json
import logging
from pathlib import Path

import json import logging from pathlib import Path

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import yaml

import yaml

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from docling.backend.pypdfium2_backend import PyPdfiumDocumentBackend
from docling.datamodel.base_models import InputFormat
from docling.document_converter import (
    DocumentConverter,
    PdfFormatOption,
    WordFormatOption,
)
from docling.pipeline.simple_pipeline import SimplePipeline
from docling.pipeline.standard_pdf_pipeline import StandardPdfPipeline

from docling.backend.pypdfium2_backend import PyPdfiumDocumentBackend from docling.datamodel.base_models import InputFormat from docling.document_converter import ( DocumentConverter, PdfFormatOption, WordFormatOption, ) from docling.pipeline.simple_pipeline import SimplePipeline from docling.pipeline.standard_pdf_pipeline import StandardPdfPipeline

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_log = logging.getLogger(__name__)

_log = logging.getLogger(__name__)

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def main():
    input_paths = [
        Path("README.md"),
        Path("tests/data/html/wiki_duck.html"),
        Path("tests/data/docx/word_sample.docx"),
        Path("tests/data/docx/lorem_ipsum.docx"),
        Path("tests/data/pptx/powerpoint_sample.pptx"),
        Path("tests/data/2305.03393v1-pg9-img.png"),
        Path("tests/data/pdf/2206.01062.pdf"),
        Path("tests/data/asciidoc/test_01.asciidoc"),
    ]

    ## for defaults use:
    # doc_converter = DocumentConverter()

    ## to customize use:

    doc_converter = (
        DocumentConverter(  # all of the below is optional, has internal defaults.
            allowed_formats=[
                InputFormat.PDF,
                InputFormat.IMAGE,
                InputFormat.DOCX,
                InputFormat.HTML,
                InputFormat.PPTX,
                InputFormat.ASCIIDOC,
                InputFormat.CSV,
                InputFormat.MD,
            ],  # whitelist formats, non-matching files are ignored.
            format_options={
                InputFormat.PDF: PdfFormatOption(
                    pipeline_cls=StandardPdfPipeline, backend=PyPdfiumDocumentBackend
                ),
                InputFormat.DOCX: WordFormatOption(
                    pipeline_cls=SimplePipeline  # , backend=MsWordDocumentBackend
                ),
            },
        )
    )

    conv_results = doc_converter.convert_all(input_paths)

    for res in conv_results:
        out_path = Path("scratch")
        print(
            f"Document {res.input.file.name} converted."
            f"\nSaved markdown output to: {out_path!s}"
        )
        _log.debug(res.document._export_to_indented_text(max_text_len=16))
        # Export Docling document format to markdowndoc:
        with (out_path / f"{res.input.file.stem}.md").open("w") as fp:
            fp.write(res.document.export_to_markdown())

        with (out_path / f"{res.input.file.stem}.json").open("w") as fp:
            fp.write(json.dumps(res.document.export_to_dict()))

        with (out_path / f"{res.input.file.stem}.yaml").open("w") as fp:
            fp.write(yaml.safe_dump(res.document.export_to_dict()))

def main(): input_paths = [ Path("README.md"), Path("tests/data/html/wiki_duck.html"), Path("tests/data/docx/word_sample.docx"), Path("tests/data/docx/lorem_ipsum.docx"), Path("tests/data/pptx/powerpoint_sample.pptx"), Path("tests/data/2305.03393v1-pg9-img.png"), Path("tests/data/pdf/2206.01062.pdf"), Path("tests/data/asciidoc/test_01.asciidoc"), ] ## for defaults use: # doc_converter = DocumentConverter() ## to customize use: doc_converter = ( DocumentConverter( # all of the below is optional, has internal defaults. allowed_formats=[ InputFormat.PDF, InputFormat.IMAGE, InputFormat.DOCX, InputFormat.HTML, InputFormat.PPTX, InputFormat.ASCIIDOC, InputFormat.CSV, InputFormat.MD, ], # whitelist formats, non-matching files are ignored. format_options={ InputFormat.PDF: PdfFormatOption( pipeline_cls=StandardPdfPipeline, backend=PyPdfiumDocumentBackend ), InputFormat.DOCX: WordFormatOption( pipeline_cls=SimplePipeline # , backend=MsWordDocumentBackend ), }, ) ) conv_results = doc_converter.convert_all(input_paths) for res in conv_results: out_path = Path("scratch") print( f"Document {res.input.file.name} converted." f"\nSaved markdown output to: {out_path!s}" ) _log.debug(res.document._export_to_indented_text(max_text_len=16)) # Export Docling document format to markdowndoc: with (out_path / f"{res.input.file.stem}.md").open("w") as fp: fp.write(res.document.export_to_markdown()) with (out_path / f"{res.input.file.stem}.json").open("w") as fp: fp.write(json.dumps(res.document.export_to_dict())) with (out_path / f"{res.input.file.stem}.yaml").open("w") as fp: fp.write(yaml.safe_dump(res.document.export_to_dict()))

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if __name__ == "__main__":
    main()

if __name__ == "__main__": main()