import numpy as np import pytest from PIL import Image from unstructured_inference.constants import Source as InferenceSource from unstructured_inference.inference.elements import EmbeddedTextRegion, Rectangle, TextRegion from unstructured_inference.inference.layout import DocumentLayout, LayoutElement, PageLayout from unstructured.partition.pdf_image.pdfminer_processing import ( aggregate_embedded_text_by_block, bboxes1_is_almost_subregion_of_bboxes2, boxes_self_iou, clean_pdfminer_inner_elements, remove_duplicate_elements, ) from unstructured.partition.utils.constants import Source # A set of elements with pdfminer elements inside tables deletable_elements_inside_table = [ LayoutElement( bbox=Rectangle(0, 0, 100, 100), text="Table with inner elements", type="Table", ), LayoutElement(bbox=Rectangle(50, 50, 70, 70), text="text1", source=Source.PDFMINER), LayoutElement(bbox=Rectangle(70, 70, 80, 80), text="text2", source=Source.PDFMINER), ] # A set of elements without pdfminer elements inside # tables (no elements with source=Source.PDFMINER) no_deletable_elements_inside_table = [ LayoutElement( bbox=Rectangle(0, 0, 100, 100), text="Table with inner elements", type="Table", source=InferenceSource.YOLOX, ), LayoutElement(bbox=Rectangle(50, 50, 70, 70), text="text1", source=InferenceSource.YOLOX), LayoutElement(bbox=Rectangle(70, 70, 80, 80), text="text2", source=InferenceSource.YOLOX), ] # A set of elements with pdfminer elements inside tables and other # elements with source=Source.PDFMINER # Note: there is some elements with source=Source.PDFMINER are not inside tables mix_elements_inside_table = [ LayoutElement( bbox=Rectangle(0, 0, 100, 100), text="Table1 with inner elements", type="Table", source=InferenceSource.YOLOX, ), LayoutElement(bbox=Rectangle(50, 50, 70, 70), text="Inside table1"), LayoutElement(bbox=Rectangle(70, 70, 80, 80), text="Inside table1", source=Source.PDFMINER), LayoutElement( bbox=Rectangle(150, 150, 170, 170), text="Outside tables", source=Source.PDFMINER, ), LayoutElement( bbox=Rectangle(180, 180, 200, 200), text="Outside tables", source=Source.PDFMINER, ), LayoutElement( bbox=Rectangle(0, 500, 100, 700), text="Table2 with inner elements", type="Table", source=InferenceSource.YOLOX, ), LayoutElement(bbox=Rectangle(0, 510, 50, 600), text="Inside table2", source=Source.PDFMINER), LayoutElement(bbox=Rectangle(0, 550, 70, 650), text="Inside table2", source=Source.PDFMINER), ] @pytest.mark.parametrize( ("elements", "length_extra_info", "expected_document_length"), [ (deletable_elements_inside_table, 1, 1), (no_deletable_elements_inside_table, 0, 3), (mix_elements_inside_table, 2, 5), ], ) def test_clean_pdfminer_inner_elements(elements, length_extra_info, expected_document_length): # create a sample document with pdfminer elements inside tables page = PageLayout(number=1, image=Image.new("1", (1, 1))) page.elements = elements document_with_table = DocumentLayout(pages=[page]) document = document_with_table # call the function to clean the pdfminer inner elements cleaned_doc = clean_pdfminer_inner_elements(document) # check that the pdfminer elements were stored in the extra_info dictionary assert len(cleaned_doc.pages[0].elements) == expected_document_length elements_with_duplicate_images = [ LayoutElement( bbox=Rectangle(0, 0, 100, 100), text="Image1", type="Image", source=Source.PDFMINER, ), LayoutElement( bbox=Rectangle(10, 10, 110, 110), text="Image1", type="Image", source=Source.PDFMINER ), LayoutElement(bbox=Rectangle(150, 150, 170, 170), text="Title1", type="Title"), ] elements_without_duplicate_images = [ LayoutElement( bbox=Rectangle(0, 0, 100, 100), text="Sample image", type="Image", source=Source.PDFMINER, ), LayoutElement( bbox=Rectangle(10, 10, 110, 110), text="Sample image with similar bbox", type="Image", source=Source.PDFMINER, ), LayoutElement( bbox=Rectangle(200, 200, 250, 250), text="Sample image", type="Image", source=Source.PDFMINER, ), LayoutElement(bbox=Rectangle(150, 150, 170, 170), text="Title1", type="Title"), ] def test_aggregate_by_block(): expected = "Inside region1 Inside region2" embedded_regions = [ TextRegion.from_coords(0, 0, 20, 20, "Inside region1"), TextRegion.from_coords(50, 50, 150, 150, "Inside region2"), TextRegion.from_coords(250, 250, 350, 350, "Outside region"), ] target_region = TextRegion.from_coords(0, 0, 300, 300) text = aggregate_embedded_text_by_block(target_region, embedded_regions) assert text == expected @pytest.mark.parametrize( ("coords1", "coords2", "expected"), [ ( [[0, 0, 10, 10], [10, 0, 20, 10], [10, 10, 20, 20]], [[0, 0, 10, 10], [0, 0, 12, 12]], [[True, True], [False, False], [False, False]], ), ( [[0, 0, 10, 10], [10, 0, 20, 10], [10, 10, 20, 20]], [[0, 0, 10, 10], [10, 10, 22, 22], [0, 0, 5, 5]], [[True, False, False], [False, False, False], [False, True, False]], ), ( [[0, 0, 10, 10], [10, 10, 10, 10]], [[0, 0, 10, 10], [10, 10, 22, 22], [0, 0, 5, 5]], [[True, False, False], [True, True, False]], ), ], ) def test_bboxes1_is_almost_subregion_of_bboxes2(coords1, coords2, expected): bboxes1 = [Rectangle(*row) for row in coords1] bboxes2 = [Rectangle(*row) for row in coords2] np.testing.assert_array_equal( bboxes1_is_almost_subregion_of_bboxes2(bboxes1, bboxes2), expected ) @pytest.mark.parametrize( ("coords", "threshold", "expected"), [ ( [[0, 0, 10, 10], [2, 2, 12, 12], [10, 10, 20, 20]], 0.5, [[True, True, False], [True, True, False], [False, False, True]], ), ( [[0, 0, 10, 10], [2, 2, 12, 12], [10, 10, 20, 20]], 0.9, [[True, False, False], [False, True, False], [False, False, True]], ), ( [[0, 0, 10, 10], [10, 10, 10, 10]], 0.5, [[True, False], [False, True]], ), ], ) def test_boxes_self_iou(coords, threshold, expected): bboxes = [Rectangle(*row) for row in coords] np.testing.assert_array_equal(boxes_self_iou(bboxes, threshold), expected) def test_remove_duplicate_elements(): sample_elements = [ EmbeddedTextRegion(bbox=Rectangle(0, 0, 10, 10), text="Text 1"), EmbeddedTextRegion(bbox=Rectangle(0, 0, 10, 10), text="Text 2"), EmbeddedTextRegion(bbox=Rectangle(20, 20, 30, 30), text="Text 3"), ] result = remove_duplicate_elements(sample_elements) # Check that duplicates were removed and only 2 unique elements remain assert len(result) == 2 assert result[0].text == "Text 2" assert result[1].text == "Text 3" # Ensure the duplicate was removed by checking that result contains no redundant bboxes assert result[0].bbox == Rectangle(0, 0, 10, 10) assert result[1].bbox == Rectangle(20, 20, 30, 30)