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### Summary This PR is the second part of `pdfminer` refactor to move it from `unstructured-inference` repo to `unstructured` repo, the first part is done in https://github.com/Unstructured-IO/unstructured-inference/pull/294. This PR adds logic to merge the extracted layout with the inferred layout. The updated workflow for the `hi_res` strategy: * pass the document (as data/filename) to the `inference` repo to get `inferred_layout` (DocumentLayout) * pass the `inferred_layout` returned from the `inference` repo and the document (as data/filename) to the `pdfminer_processing` module, which first opens the document (create temp file/dir as needed), and splits the document by pages * if is_image is `True`, return the passed inferred_layout(DocumentLayout) * if is_image is `False`: * get extracted_layout (TextRegions) from the passed document(data/filename) by pdfminer * merge `extracted_layout` (TextRegions) with the passed `inferred_layout` (DocumentLayout) * return the `inferred_layout `(DocumentLayout) with updated elements (all merged LayoutElements) as merged_layout (DocumentLayout) * pass merged_layout and the document (as data/filename) to the `OCR` module, which first opens the document (create temp file/dir as needed), and splits the document by pages (convert PDF pages to image pages for PDF file) ### Note This PR also fixes issue #2164 by using functionality similar to the one implemented in the `fast` strategy workflow when extracting elements by `pdfminer`. ### TODO * image extraction refactor to move it from `unstructured-inference` repo to `unstructured` repo * improving natural reading order by applying the current default `xycut` sorting to the elements extracted by `pdfminer`
95 lines
2.8 KiB
Python
95 lines
2.8 KiB
Python
import os
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import pytest
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from unstructured.partition import strategies
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from unstructured.partition.pdf_image import pdf
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from unstructured.partition.utils.constants import PartitionStrategy
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@pytest.mark.parametrize(
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"strategy",
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[
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PartitionStrategy.AUTO,
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PartitionStrategy.FAST,
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PartitionStrategy.OCR_ONLY,
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PartitionStrategy.HI_RES,
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],
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)
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def test_validate_strategy(strategy):
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# Nothing should raise for a valid strategy
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strategies.validate_strategy(strategy=strategy)
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def test_validate_strategy_raises_for_fast_strategy():
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with pytest.raises(ValueError):
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strategies.validate_strategy(strategy=PartitionStrategy.FAST, is_image=True)
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def test_validate_strategy_raises_for_bad_strategy():
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with pytest.raises(ValueError):
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strategies.validate_strategy("totally_guess_the_text")
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@pytest.mark.parametrize(
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("filename", "from_file", "expected"),
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[
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("layout-parser-paper-fast.pdf", True, True),
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("copy-protected.pdf", True, True),
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("loremipsum-flat.pdf", True, False),
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("layout-parser-paper-fast.pdf", False, True),
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("copy-protected.pdf", False, True),
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("loremipsum-flat.pdf", False, False),
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],
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)
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def test_is_pdf_text_extractable(filename, from_file, expected):
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filename = os.path.join("example-docs", filename)
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if from_file:
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with open(filename, "rb") as f:
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extractable = pdf.extractable_elements(file=f)
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else:
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extractable = pdf.extractable_elements(filename=filename)
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assert bool(extractable) is expected
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def test_determine_image_auto_strategy():
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strategy = strategies._determine_image_auto_strategy()
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assert strategy == PartitionStrategy.HI_RES
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@pytest.mark.parametrize(
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("pdf_text_extractable", "infer_table_structure", "expected"),
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[
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(True, True, PartitionStrategy.HI_RES),
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(False, True, PartitionStrategy.HI_RES),
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(True, False, PartitionStrategy.FAST),
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(False, False, PartitionStrategy.OCR_ONLY),
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],
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)
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def test_determine_pdf_auto_strategy(pdf_text_extractable, infer_table_structure, expected):
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strategy = strategies._determine_pdf_auto_strategy(
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pdf_text_extractable=pdf_text_extractable,
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infer_table_structure=infer_table_structure,
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)
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assert strategy is expected
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@pytest.mark.parametrize(
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("pdf_text_extractable", "infer_table_structure"),
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[
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(True, True),
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(False, True),
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(True, False),
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(False, False),
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],
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)
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def test_determine_pdf_or_image_fast_strategy(pdf_text_extractable, infer_table_structure):
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strategy = strategies.determine_pdf_or_image_strategy(
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strategy=PartitionStrategy.FAST,
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pdf_text_extractable=pdf_text_extractable,
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infer_table_structure=infer_table_structure,
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)
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assert strategy == PartitionStrategy.FAST
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