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75 lines
2.1 KiB
Python
75 lines
2.1 KiB
Python
import logging
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import time
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from pathlib import Path
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from typing import Tuple
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import pandas as pd
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from docling.datamodel.base_models import ConversionStatus
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from docling.datamodel.document import DocumentConversionInput
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from docling.document_converter import DocumentConverter
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_log = logging.getLogger(__name__)
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def main():
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logging.basicConfig(level=logging.INFO)
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input_doc_paths = [
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Path("./tests/data/2206.01062.pdf"),
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]
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output_dir = Path("./scratch")
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input_files = DocumentConversionInput.from_paths(input_doc_paths)
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doc_converter = DocumentConverter()
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start_time = time.time()
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conv_results = doc_converter.convert(input_files)
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success_count = 0
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failure_count = 0
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output_dir.mkdir(parents=True, exist_ok=True)
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for conv_res in conv_results:
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if conv_res.status != ConversionStatus.SUCCESS:
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_log.info(f"Document {conv_res.input.file} failed to convert.")
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failure_count += 1
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continue
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doc_filename = conv_res.input.file.stem
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# Export tables
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for table_ix, table in enumerate(conv_res.output.tables):
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table_df: pd.DataFrame = table.export_to_dataframe()
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print(f"## Table {table_ix}")
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print(table_df.to_markdown())
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# Save the table as csv
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element_csv_filename = output_dir / f"{doc_filename}-table-{table_ix+1}.csv"
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_log.info(f"Saving CSV table to {element_csv_filename}")
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table_df.to_csv(element_csv_filename)
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# Save the table as html
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element_html_filename = (
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output_dir / f"{doc_filename}-table-{table_ix+1}.html"
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)
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_log.info(f"Saving HTML table to {element_html_filename}")
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with element_html_filename.open("w") as fp:
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fp.write(table.export_to_html())
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success_count += 1
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end_time = time.time() - start_time
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_log.info(f"All documents were converted in {end_time:.2f} seconds.")
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if failure_count > 0:
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raise RuntimeError(
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f"The example failed converting {failure_count} on {len(input_doc_paths)}."
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)
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if __name__ == "__main__":
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main()
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