from pathlib import Path import pytest from docling.datamodel.base_models import InputFormat from docling.datamodel.document import ConversionResult, DoclingDocument from docling.document_converter import DocumentConverter from .test_data_gen_flag import GEN_TEST_DATA from .verify_utils import verify_document, verify_export GENERATE = GEN_TEST_DATA def get_pptx_paths(): # Define the directory you want to search directory = Path("./tests/data/pptx/") # List all PPTX files in the directory and its subdirectories pptx_files = sorted(directory.rglob("*.pptx")) return pptx_files def get_converter(): converter = DocumentConverter(allowed_formats=[InputFormat.PPTX]) return converter def test_e2e_pptx_conversions(): pptx_paths = get_pptx_paths() converter = get_converter() for pptx_path in pptx_paths: # print(f"converting {pptx_path}") gt_path = ( pptx_path.parent.parent / "groundtruth" / "docling_v2" / pptx_path.name ) conv_result: ConversionResult = converter.convert(pptx_path) doc: DoclingDocument = conv_result.document pred_md: str = doc.export_to_markdown() assert verify_export(pred_md, str(gt_path) + ".md", GENERATE), "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", GENERATE), ( "export to indented-text" ) assert verify_document(doc, str(gt_path) + ".json", GENERATE), ( "document document" ) def test_pptx_unrecognized_shape_type(): """PPTX with a that has no geometry should not crash. python-pptx raises NotImplementedError from Shape.shape_type for shapes that aren't placeholders, autoshapes, textboxes, or freeforms. The backend should skip the unrecognized shape gracefully and still extract text from the rest of the presentation. Ref: https://github.com/docling-project/docling/issues/3308 """ converter = get_converter() pptx_path = Path("./tests/data/pptx/powerpoint_unrecognized_shape.pptx") conv_result: ConversionResult = converter.convert(pptx_path) doc: DoclingDocument = conv_result.document pred_md = doc.export_to_markdown() # Normal slide content should still be extracted assert "Q3 Revenue Summary" in pred_md assert "Enterprise segment" in pred_md assert "Key Metrics" in pred_md assert "Next Steps" in pred_md def test_pptx_malformed_picture_shapes(): """PPTX with malformed shapes should not crash conversion. python-pptx's shape.image accessor raises three distinct exceptions on picture shapes that slip past other tools' parsers (Keynote/Google Drive open these files fine): InvalidXmlError when is missing, KeyError when points at an unknown relationship, and AttributeError when the embedded part's content-type isn't an image. The backend should skip each malformed picture with a warning and still extract text from the slides. """ converter = get_converter() pptx_path = Path("./tests/data/pptx/powerpoint_malformed_pictures.pptx") with pytest.warns(UserWarning, match="Skipping malformed picture shape"): conv_result: ConversionResult = converter.convert(pptx_path) doc: DoclingDocument = conv_result.document pred_md = doc.export_to_markdown() assert "Slide With Missing BlipFill" in pred_md assert "Slide With Dangling Rel" in pred_md assert "Slide With Wrong Content Type" in pred_md def test_pptx_page_range(): converter = get_converter() pptx_path = Path("./tests/data/pptx/powerpoint_sample.pptx") conv_result: ConversionResult = converter.convert(pptx_path, page_range=(2, 2)) assert conv_result.input.page_count == 3 assert conv_result.document.num_pages() == 1 assert list(conv_result.document.pages.keys()) == [2] pred_md = conv_result.document.export_to_markdown() assert "Second slide title" in pred_md assert "Test Table Slide" not in pred_md assert "List item4" not in pred_md