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* chore(docx): remove unnecessary import Signed-off-by: Cesar Berrospi Ramis <ceb@zurich.ibm.com> * fix(docx): simplify parsing of simple tables Simplify the parsing of tables with just text (no rich cells). Move nested function group_cell_elements out of _handle_tables for readability. Signed-off-by: Cesar Berrospi Ramis <ceb@zurich.ibm.com> * chore(docx): reuse method for finding inline pictures Signed-off-by: Cesar Berrospi Ramis <ceb@zurich.ibm.com> * chore(docx): format strikethrough text Signed-off-by: Cesar Berrospi Ramis <ceb@zurich.ibm.com> * tests(docx): use fixtures to avoid converting same file multiple times Signed-off-by: Cesar Berrospi Ramis <ceb@zurich.ibm.com> * fix(docx): remove unnecessary argument docx_obj in functions Signed-off-by: Cesar Berrospi Ramis <ceb@zurich.ibm.com> * tests(docx): add test for rich table cells Signed-off-by: Cesar Berrospi Ramis <ceb@zurich.ibm.com> * chore(docx): small improvements in backend and its unit tests Signed-off-by: Cesar Berrospi Ramis <ceb@zurich.ibm.com> * chore(docx): parse superscript and subscript formatted text Signed-off-by: Cesar Berrospi Ramis <ceb@zurich.ibm.com> --------- Signed-off-by: Cesar Berrospi Ramis <ceb@zurich.ibm.com>
211 lines
6.6 KiB
Python
211 lines
6.6 KiB
Python
import logging
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import os
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from pathlib import Path
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import pytest
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from docling.backend.docx.drawingml.utils import get_libreoffice_cmd
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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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TextItem,
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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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_log = logging.getLogger(__name__)
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GENERATE = GEN_TEST_DATA
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IS_CI = bool(os.getenv("CI"))
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@pytest.fixture(scope="module")
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def docx_paths() -> list[Path]:
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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 docx files in the directory and its subdirectories
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docx_files = sorted(directory.rglob("*.docx"))
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return docx_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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@pytest.fixture(scope="module")
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def documents(docx_paths) -> list[tuple[Path, DoclingDocument]]:
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documents: list[dict[Path, DoclingDocument]] = []
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converter = get_converter()
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for docx_path in docx_paths:
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_log.debug(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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assert doc, f"Failed to convert document from file {gt_path}"
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documents.append((gt_path, doc))
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return documents
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def _test_e2e_docx_conversions_impl(docx_paths: list[tuple[Path, DoclingDocument]]):
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has_libreoffice = False
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try:
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cmd = get_libreoffice_cmd(raise_if_unavailable=True)
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if cmd is not None:
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has_libreoffice = True
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except Exception:
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pass
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for docx_path, doc in docx_paths:
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if not IS_CI and not has_libreoffice and docx_path.name == "drawingml.docx":
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print(f"Skipping {docx_path} because no Libreoffice is installed.")
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continue
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pred_md: str = doc.export_to_markdown()
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assert verify_export(pred_md, str(docx_path) + ".md", generate=GENERATE), (
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f"export to markdown failed on {docx_path}"
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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(docx_path) + ".itxt", generate=GENERATE), (
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f"export to indented-text failed on {docx_path}"
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)
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assert verify_document(doc, str(docx_path) + ".json", generate=GENERATE), (
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f"DoclingDocument verification failed on {docx_path}"
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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(docx_path) + ".html",
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generate=GENERATE,
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), f"export to html failed on {docx_path}"
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flaky_file = "textbox.docx"
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def test_e2e_docx_conversions(documents):
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target = [item for item in documents if item[0].name != flaky_file]
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_test_e2e_docx_conversions_impl(target)
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@pytest.mark.xfail(strict=False)
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def test_textbox_conversion(documents):
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target = [item for item in documents if item[0].name == flaky_file]
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_test_e2e_docx_conversions_impl(target)
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@pytest.mark.xfail(strict=False)
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def test_textbox_extraction(documents):
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name = "textbox.docx"
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doc = next(item[1] for item in documents if item[0].name == name)
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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(documents):
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name = "word_sample.docx"
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doc = next(item[1] for item in documents if item[0].name == name)
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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 test_text_after_image_anchors(documents):
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"""Test to analyse whether text gets parsed after image anchors."""
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name = "word_image_anchors.docx"
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doc = next(item[1] for item in documents if item[0].name == name)
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found_text_after_anchor_1 = found_text_after_anchor_2 = (
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found_text_after_anchor_3
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) = found_text_after_anchor_4 = False
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for item, _ in doc.iterate_items():
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if isinstance(item, TextItem):
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if item.text == "This is test 1":
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found_text_after_anchor_1 = True
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elif item.text == "0:08\nCorrect, he is not.":
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found_text_after_anchor_2 = True
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elif item.text == "This is test 2":
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found_text_after_anchor_3 = True
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elif item.text == "0:16\nYeah, exactly.":
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found_text_after_anchor_4 = True
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assert (
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found_text_after_anchor_1
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and found_text_after_anchor_2
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and found_text_after_anchor_3
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and found_text_after_anchor_4
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)
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def test_is_rich_table_cell(docx_paths):
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"""Test the function is_rich_table_cell."""
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name = "docx_rich_cells.docx"
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path = next(item for item in docx_paths if item.name == name)
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in_doc = InputDocument(
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path_or_stream=path,
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format=InputFormat.DOCX,
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backend=MsWordDocumentBackend,
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filename=name,
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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=path,
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)
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gt_cells: list[bool] = []
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# table: Table with rich cells
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gt_cells.extend([False, False, True, True, True, True, True, False])
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# table: Table with nested table
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gt_cells.extend([False, False, False, True, True, True])
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# table: Table with pictures
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gt_cells.extend([False, False, False, True, True, False])
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gt_it = iter(gt_cells)
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for idx_t, table in enumerate(backend.docx_obj.tables):
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for idx_r, row in enumerate(table.rows):
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for idx_c, cell in enumerate(row.cells):
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assert next(gt_it) == backend._is_rich_table_cell(cell), (
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f"Wrong cell type in table {idx_t}, row {idx_r}, col {idx_c} "
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f"with text: {cell.text}"
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)
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