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106 lines
3.3 KiB
Python
106 lines
3.3 KiB
Python
import json
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import logging
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import time
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from pathlib import Path
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from typing import Iterable
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from docling.datamodel.base_models import ConversionStatus
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from docling.datamodel.document import ConversionResult, DocumentConversionInput
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from docling.document_converter import DocumentConverter
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_log = logging.getLogger(__name__)
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def export_documents(
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conv_results: Iterable[ConversionResult],
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output_dir: Path,
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):
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output_dir.mkdir(parents=True, exist_ok=True)
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success_count = 0
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failure_count = 0
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partial_success_count = 0
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for conv_res in conv_results:
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if conv_res.status == ConversionStatus.SUCCESS:
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success_count += 1
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doc_filename = conv_res.input.file.stem
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# Export Deep Search document JSON format:
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with (output_dir / f"{doc_filename}.json").open(
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"w", encoding="utf-8"
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) as fp:
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fp.write(json.dumps(conv_res.render_as_dict()))
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# Export Text format:
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with (output_dir / f"{doc_filename}.txt").open("w", encoding="utf-8") as fp:
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fp.write(conv_res.render_as_text())
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# Export Markdown format:
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with (output_dir / f"{doc_filename}.md").open("w", encoding="utf-8") as fp:
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fp.write(conv_res.render_as_markdown())
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# Export Document Tags format:
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with (output_dir / f"{doc_filename}.doctags").open(
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"w", encoding="utf-8"
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) as fp:
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fp.write(conv_res.render_as_doctags())
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elif conv_res.status == ConversionStatus.PARTIAL_SUCCESS:
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_log.info(
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f"Document {conv_res.input.file} was partially converted with the following errors:"
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)
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for item in conv_res.errors:
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_log.info(f"\t{item.error_message}")
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partial_success_count += 1
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else:
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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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_log.info(
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f"Processed {success_count + partial_success_count + failure_count} docs, "
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f"of which {failure_count} failed "
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f"and {partial_success_count} were partially converted."
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)
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return success_count, partial_success_count, failure_count
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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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Path("./tests/data/2203.01017v2.pdf"),
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Path("./tests/data/2305.03393v1.pdf"),
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Path("./tests/data/redp5110.pdf"),
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Path("./tests/data/redp5695.pdf"),
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]
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# buf = BytesIO(Path("./test/data/2206.01062.pdf").open("rb").read())
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# docs = [DocumentStream(filename="my_doc.pdf", stream=buf)]
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# input = DocumentConversionInput.from_streams(docs)
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doc_converter = DocumentConverter()
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input = DocumentConversionInput.from_paths(input_doc_paths)
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start_time = time.time()
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conv_results = doc_converter.convert(input)
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success_count, partial_success_count, failure_count = export_documents(
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conv_results, output_dir=Path("./scratch")
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)
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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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