61d0d6c755
* test: cleanse Word test file Signed-off-by: Panos Vagenas <pva@zurich.ibm.com> * mark textbox file test as flaky Signed-off-by: Panos Vagenas <pva@zurich.ibm.com> * fix path usage Signed-off-by: Panos Vagenas <pva@zurich.ibm.com> --------- Signed-off-by: Panos Vagenas <pva@zurich.ibm.com>
134 lines
3.7 KiB
Python
134 lines
3.7 KiB
Python
from pathlib import Path
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import pytest
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from docling.backend.msword_backend import MsWordDocumentBackend
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from docling.datamodel.base_models import InputFormat
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from docling.datamodel.document import (
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ConversionResult,
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DoclingDocument,
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InputDocument,
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SectionHeaderItem,
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)
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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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@pytest.mark.xfail(strict=False)
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def test_textbox_extraction():
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in_path = Path("tests/data/docx/textbox.docx")
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in_doc = InputDocument(
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path_or_stream=in_path,
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format=InputFormat.DOCX,
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backend=MsWordDocumentBackend,
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)
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backend = MsWordDocumentBackend(
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in_doc=in_doc,
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path_or_stream=in_path,
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)
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doc = backend.convert()
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# Verify if a particular textbox content is extracted
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textbox_found = False
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for item, _ in doc.iterate_items():
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if item.text[:30] == """Suggested Reportable Symptoms:""":
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textbox_found = True
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assert textbox_found
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def test_heading_levels():
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in_path = Path("tests/data/docx/word_sample.docx")
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in_doc = InputDocument(
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path_or_stream=in_path,
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format=InputFormat.DOCX,
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backend=MsWordDocumentBackend,
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)
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backend = MsWordDocumentBackend(
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in_doc=in_doc,
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path_or_stream=in_path,
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)
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doc = backend.convert()
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found_lvl_1 = found_lvl_2 = False
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for item, _ in doc.iterate_items():
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if isinstance(item, SectionHeaderItem):
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if item.text == "Let\u2019s swim!":
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found_lvl_1 = True
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assert item.level == 1
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elif item.text == "Let\u2019s eat":
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found_lvl_2 = True
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assert item.level == 2
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assert found_lvl_1 and found_lvl_2
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def get_docx_paths():
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# Define the directory you want to search
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directory = Path("./tests/data/docx/")
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# List all PDF files in the directory and its subdirectories
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pdf_files = sorted(directory.rglob("*.docx"))
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return pdf_files
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def get_converter():
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converter = DocumentConverter(allowed_formats=[InputFormat.DOCX])
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return converter
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def _test_e2e_docx_conversions_impl(docx_paths: list[Path]):
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converter = get_converter()
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for docx_path in docx_paths:
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# print(f"converting {docx_path}")
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gt_path = (
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docx_path.parent.parent / "groundtruth" / "docling_v2" / docx_path.name
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)
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conv_result: ConversionResult = converter.convert(docx_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=GENERATE), (
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"export to md"
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)
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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=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=GENERATE), (
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"document document"
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)
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if docx_path.name == "word_tables.docx":
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pred_html: str = doc.export_to_html()
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assert verify_export(
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pred_text=pred_html,
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gtfile=str(gt_path) + ".html",
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generate=GENERATE,
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), "export to html"
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flaky_path = Path("tests/data/docx/textbox.docx")
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def test_e2e_docx_conversions():
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_test_e2e_docx_conversions_impl(
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docx_paths=[path for path in get_docx_paths() if path != flaky_path]
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)
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@pytest.mark.xfail(strict=False)
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def test_textbox_conversion():
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_test_e2e_docx_conversions_impl(docx_paths=[flaky_path])
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