
* chore: update docling-core & regenerate test data Signed-off-by: Panos Vagenas <pva@zurich.ibm.com> * update backends to leverage new list modeling Signed-off-by: Panos Vagenas <pva@zurich.ibm.com> * repin docling-core Signed-off-by: Panos Vagenas <pva@zurich.ibm.com> * ensure availability of latest docling-core API Signed-off-by: Panos Vagenas <pva@zurich.ibm.com> --------- Signed-off-by: Panos Vagenas <pva@zurich.ibm.com>
56 lines
1.6 KiB
Python
56 lines
1.6 KiB
Python
from pathlib import Path
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from docling.datamodel.base_models import InputFormat
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from docling.datamodel.document import ConversionResult, DoclingDocument
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from docling.document_converter import DocumentConverter
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from .test_data_gen_flag import GEN_TEST_DATA
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from .verify_utils import verify_document, verify_export
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GENERATE = GEN_TEST_DATA
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def get_pptx_paths():
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# Define the directory you want to search
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directory = Path("./tests/data/pptx/")
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# List all PPTX files in the directory and its subdirectories
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pptx_files = sorted(directory.rglob("*.pptx"))
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return pptx_files
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def get_converter():
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converter = DocumentConverter(allowed_formats=[InputFormat.PPTX])
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return converter
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def test_e2e_pptx_conversions():
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pptx_paths = get_pptx_paths()
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converter = get_converter()
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for pptx_path in pptx_paths:
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# print(f"converting {pptx_path}")
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gt_path = (
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pptx_path.parent.parent / "groundtruth" / "docling_v2" / pptx_path.name
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)
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conv_result: ConversionResult = converter.convert(pptx_path)
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doc: DoclingDocument = conv_result.document
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pred_md: str = doc.export_to_markdown()
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assert verify_export(pred_md, str(gt_path) + ".md", GENERATE), "export to md"
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pred_itxt: str = doc._export_to_indented_text(
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max_text_len=70, explicit_tables=False
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)
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assert verify_export(pred_itxt, str(gt_path) + ".itxt", GENERATE), (
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"export to indented-text"
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)
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assert verify_document(doc, str(gt_path) + ".json", GENERATE), (
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"document document"
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)
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