docling/tests/test_backend_msexcel.py
ShiroYasha18 e36a4200da ran tests
2025-05-27 21:18:27 +05:30

109 lines
3.6 KiB
Python

import logging
from pathlib import Path
import pytest
from docling.backend.msexcel_backend import MsExcelDocumentBackend
from docling.datamodel.base_models import InputFormat
from docling.datamodel.document import ConversionResult, DoclingDocument, InputDocument
from docling.document_converter import DocumentConverter
from .test_data_gen_flag import GEN_TEST_DATA
from .verify_utils import verify_document, verify_export
_log = logging.getLogger(__name__)
GENERATE = GEN_TEST_DATA
def get_excel_paths():
# Define the directory you want to search
directory = Path("./tests/data/xlsx/")
# List all Excel files in the directory and its subdirectories
excel_files = sorted(directory.rglob("*.xlsx")) + sorted(directory.rglob("*.xlsm"))
return excel_files
def get_converter():
converter = DocumentConverter(allowed_formats=[InputFormat.XLSX])
return converter
@pytest.fixture(scope="module")
def documents() -> list[tuple[Path, DoclingDocument]]:
documents: list[dict[Path, DoclingDocument]] = []
excel_paths = get_excel_paths()
converter = get_converter()
for excel_path in excel_paths:
_log.debug(f"converting {excel_path}")
gt_path = (
excel_path.parent.parent / "groundtruth" / "docling_v2" / excel_path.name
)
conv_result: ConversionResult = converter.convert(excel_path)
doc: DoclingDocument = conv_result.document
assert doc, f"Failed to convert document from file {gt_path}"
documents.append((gt_path, doc))
return documents
def test_e2e_excel_conversions(documents) -> None:
for gt_path, doc in documents:
pred_md: str = doc.export_to_markdown()
assert verify_export(pred_md, str(gt_path) + ".md"), "export to md"
pred_itxt: str = doc._export_to_indented_text(
max_text_len=70, explicit_tables=False
)
assert verify_export(pred_itxt, str(gt_path) + ".itxt"), (
"export to indented-text"
)
assert verify_document(doc, str(gt_path) + ".json", GENERATE), (
"document document"
)
def test_pages(documents) -> None:
"""Test the page count and page size of converted documents.
Args:
documents: The paths and converted documents.
"""
# number of pages from the backend method
# Logic to handle multiple files
file_stems = ["sample_sales_data","test-01"]
for stem in file_stems:
path = next(item for item in get_excel_paths() if item.stem == stem)
in_doc = InputDocument(
path_or_stream=path,
format=InputFormat.XLSX,
filename=path.stem,
backend=MsExcelDocumentBackend,
)
backend = MsExcelDocumentBackend(in_doc=in_doc, path_or_stream=path)
# Update the expected page count based on actual content
expected_page_count = 3 # Adjust this value based on the actual number of worksheets this needs to be adjusted for each xlsm and xlsx files independently
assert backend.page_count() == expected_page_count
# number of pages from the converted document
doc = next(item for path, item in documents if path.stem == stem)
assert len(doc.pages) == 3
# page sizes as number of cells
# for xlsm file just adjust this wrt the xlsm files for test xlsm enable this:
#assert doc.pages.get(1).size.as_tuple() == (4.0, 21.0)
# for xlsx file:
assert doc.pages.get(1).size.as_tuple() == (3.0, 7.0)
assert doc.pages.get(2).size.as_tuple() == (9.0, 18.0)
assert doc.pages.get(3).size.as_tuple() == (13.0, 36.0)