mirror of
https://github.com/DS4SD/docling.git
synced 2025-08-01 15:02:21 +00:00
46 lines
1.2 KiB
Python
46 lines
1.2 KiB
Python
from io import BytesIO
|
|
from pathlib import Path
|
|
|
|
import pytest
|
|
|
|
from docling.datamodel.base_models import ConversionStatus, DocumentStream
|
|
from docling.document_converter import DocumentConverter
|
|
|
|
|
|
def get_pdf_path():
|
|
|
|
pdf_path = Path("./tests/data/2305.03393v1-pg9.pdf")
|
|
return pdf_path
|
|
|
|
|
|
@pytest.fixture
|
|
def converter():
|
|
converter = DocumentConverter()
|
|
|
|
return converter
|
|
|
|
|
|
def test_convert_invalid_doc(converter: DocumentConverter):
|
|
|
|
# Test with unrecognizable file format (xyz)
|
|
result = converter.convert(
|
|
DocumentStream(name="input.xyz", stream=BytesIO(b"xyz")), raises_on_error=False
|
|
)
|
|
assert result is None # No result comes back at all, since this file is skipped.
|
|
|
|
with pytest.raises(RuntimeError):
|
|
result = converter.convert(
|
|
DocumentStream(name="input.xyz", stream=BytesIO(b"xyz")),
|
|
raises_on_error=True,
|
|
)
|
|
|
|
# Test with too small filesize limit
|
|
result = converter.convert(get_pdf_path(), max_file_size=1, raises_on_error=False)
|
|
assert result is not None
|
|
assert result.status == ConversionStatus.FAILURE
|
|
|
|
with pytest.raises(RuntimeError):
|
|
result = converter.convert(
|
|
get_pdf_path(), max_file_size=1, raises_on_error=True
|
|
)
|