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95 lines
2.7 KiB
Python
95 lines
2.7 KiB
Python
from pathlib import Path
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from pydantic import Field
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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, TesseractOcrOptions
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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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# from tests.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, engine: str):
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r""" """
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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}.{engine}.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}.{engine}.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}.{engine}.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}.{engine}.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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# Define the directory you want to search
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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(engine: str):
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pipeline_options = PipelineOptions()
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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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if engine == "tesserocr":
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pipeline_options.ocr_options = TesseractOcrOptions()
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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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for engine in ["easyocr", "tesserocr", "tesseract"]:
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print(f"Converting with ocr_engine: {engine}")
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converter = get_converter(engine)
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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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# # Save conversions
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# save_output(pdf_path, doc_result, engine)
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# Debug
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verify_conversion_result(
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input_path=pdf_path,
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doc_result=doc_result,
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generate=GENERATE,
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ocr_engine=engine,
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)
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# if __name__ == "__main__":
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# test_e2e_conversions()
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