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46 lines
1.3 KiB
Python
46 lines
1.3 KiB
Python
import glob
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from pathlib import Path
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import pytest
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from docling.backend.docling_parse_backend import (
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DoclingParseDocumentBackend,
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DoclingParsePageBackend,
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)
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from docling.datamodel.base_models import BoundingBox
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from docling.document_converter import DocumentConverter
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@pytest.fixture
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def test_doc_path():
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return Path("./data/2206.01062.pdf")
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def test_get_text_from_rect(test_doc_path):
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doc_backend = DoclingParseDocumentBackend(test_doc_path, "123456xyz")
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page_backend: DoclingParsePageBackend = doc_backend.load_page(0)
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# Get the title text of the DocLayNet paper
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textpiece = page_backend.get_text_in_rect(
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bbox=BoundingBox(l=102, t=77, r=511, b=124)
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)
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ref = "DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis"
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assert textpiece.strip() == ref
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def test_crop_page_image(test_doc_path):
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doc_backend = DoclingParseDocumentBackend(test_doc_path, "123456xyz")
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page_backend: DoclingParsePageBackend = doc_backend.load_page(0)
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# Crop out "Figure 1" from the DocLayNet paper
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im = page_backend.get_page_image(
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scale=2, cropbox=BoundingBox(l=317, t=246, r=574, b=527)
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)
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# im.show()
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def test_num_pages(test_doc_path):
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doc_backend = DoclingParseDocumentBackend(test_doc_path, "123456xyz")
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doc_backend.page_count() == 9
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