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9500d04791
### Summary Closes #1534 and #1535 Detects document language using `langdetect` package. Creates new kwargs for user to set the document language (`languages`) or detect the language at the element level instead of the default document level (`detect_language_per_element`) --------- Co-authored-by: shreyanid <42684285+shreyanid@users.noreply.github.com> Co-authored-by: ryannikolaidis <1208590+ryannikolaidis@users.noreply.github.com> Co-authored-by: Coniferish <Coniferish@users.noreply.github.com> Co-authored-by: cragwolfe <crag@unstructured.io> Co-authored-by: Austin Walker <austin@unstructured.io>
533 lines
17 KiB
Python
533 lines
17 KiB
Python
import os
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import pathlib
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from unittest import mock
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import pytest
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from PIL import Image
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from pytesseract import TesseractError
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from unstructured_inference.inference import layout
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from unstructured.chunking.title import chunk_by_title
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from unstructured.partition import image, ocr, pdf
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from unstructured.partition.json import partition_json
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from unstructured.partition.utils.constants import UNSTRUCTURED_INCLUDE_DEBUG_METADATA
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from unstructured.staging.base import elements_to_json
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DIRECTORY = pathlib.Path(__file__).parent.resolve()
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class MockResponse:
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def __init__(self, status_code, response):
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self.status_code = status_code
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self.response = response
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def json(self):
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return self.response
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def mock_healthy_get(url, **kwargs):
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return MockResponse(status_code=200, response={})
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def mock_unhealthy_get(url, **kwargs):
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return MockResponse(status_code=500, response={})
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def mock_unsuccessful_post(url, **kwargs):
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return MockResponse(status_code=500, response={})
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def mock_successful_post(url, **kwargs):
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response = {
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"pages": [
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{
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"number": 0,
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"elements": [
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{"type": "Title", "text": "Charlie Brown and the Great Pumpkin"},
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],
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},
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{
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"number": 1,
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"elements": [{"type": "Title", "text": "A Charlie Brown Christmas"}],
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},
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],
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}
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return MockResponse(status_code=200, response=response)
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class MockPageLayout(layout.PageLayout):
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def __init__(self, number: int, image: Image):
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self.number = number
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self.image = image
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@property
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def elements(self):
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return [
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layout.LayoutElement(
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type="Title",
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x1=0,
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y1=0,
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x2=2,
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y2=2,
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text="Charlie Brown and the Great Pumpkin",
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),
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]
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class MockDocumentLayout(layout.DocumentLayout):
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@property
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def pages(self):
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return [
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MockPageLayout(number=0, image=Image.new("1", (1, 1))),
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]
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@pytest.mark.parametrize(
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("filename", "file"),
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[
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("example-docs/example.jpg", None),
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(None, b"0000"),
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],
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)
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def test_partition_image_local(monkeypatch, filename, file):
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monkeypatch.setattr(
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layout,
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"process_data_with_model",
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lambda *args, **kwargs: MockDocumentLayout(),
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)
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monkeypatch.setattr(
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layout,
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"process_file_with_model",
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lambda *args, **kwargs: MockDocumentLayout(),
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)
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monkeypatch.setattr(
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ocr,
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"process_data_with_ocr",
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lambda *args, **kwargs: MockDocumentLayout(),
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)
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monkeypatch.setattr(
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ocr,
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"process_data_with_ocr",
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lambda *args, **kwargs: MockDocumentLayout(),
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)
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partition_image_response = pdf._partition_pdf_or_image_local(
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filename,
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file,
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is_image=True,
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)
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assert partition_image_response[0].text == "Charlie Brown and the Great Pumpkin"
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@pytest.mark.skip("Needs to be fixed upstream in unstructured-inference")
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def test_partition_image_local_raises_with_no_filename():
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with pytest.raises(FileNotFoundError):
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pdf._partition_pdf_or_image_local(filename="", file=None, is_image=True)
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def test_partition_image_with_auto_strategy(
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filename="example-docs/layout-parser-paper-fast.jpg",
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):
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elements = image.partition_image(filename=filename, strategy="auto")
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titles = [el for el in elements if el.category == "Title" and len(el.text.split(" ")) > 10]
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title = "LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis"
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idx = 2
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assert titles[0].text == title
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assert elements[idx].metadata.detection_class_prob is not None
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assert isinstance(elements[idx].metadata.detection_class_prob, float)
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def test_partition_image_with_table_extraction(
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filename="example-docs/layout-parser-paper-with-table.jpg",
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):
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elements = image.partition_image(
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filename=filename,
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strategy="hi_res",
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infer_table_structure=True,
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)
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table = [el.metadata.text_as_html for el in elements if el.metadata.text_as_html]
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assert len(table) == 1
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assert "<table><thead><th>" in table[0]
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def test_partition_image_with_multipage_tiff(
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filename="example-docs/layout-parser-paper-combined.tiff",
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):
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elements = image.partition_image(filename=filename, strategy="auto")
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assert elements[-1].metadata.page_number == 2
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def test_partition_image_with_language_passed(filename="example-docs/example.jpg"):
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with mock.patch.object(
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ocr,
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"process_file_with_ocr",
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mock.MagicMock(),
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) as mock_partition:
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image.partition_image(
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filename=filename,
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strategy="hi_res",
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ocr_languages="eng+swe",
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)
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assert mock_partition.call_args.kwargs.get("ocr_languages") == "eng+swe"
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def test_partition_image_from_file_with_language_passed(
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filename="example-docs/example.jpg",
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):
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with mock.patch.object(
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ocr,
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"process_data_with_ocr",
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mock.MagicMock(),
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) as mock_partition, open(filename, "rb") as f:
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image.partition_image(file=f, strategy="hi_res", ocr_languages="eng+swe")
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assert mock_partition.call_args.kwargs.get("ocr_languages") == "eng+swe"
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# NOTE(crag): see https://github.com/Unstructured-IO/unstructured/issues/1086
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@pytest.mark.skip(reason="Current catching too many tesseract errors")
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def test_partition_image_raises_with_invalid_language(
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filename="example-docs/example.jpg",
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):
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with pytest.raises(TesseractError):
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image.partition_image(
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filename=filename,
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strategy="hi_res",
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ocr_languages="fakeroo",
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)
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def test_partition_image_with_ocr_detects_korean():
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filename = os.path.join(
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DIRECTORY,
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"..",
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"..",
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"..",
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"example-docs",
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"english-and-korean.png",
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)
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elements = image.partition_image(
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filename=filename,
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ocr_languages="eng+kor",
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strategy="ocr_only",
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)
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assert elements[0].text == "RULES AND INSTRUCTIONS"
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assert elements[3].text.replace(" ", "").startswith("안녕하세요")
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def test_partition_image_with_ocr_detects_korean_from_file():
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filename = os.path.join(DIRECTORY, "..", "..", "..", "example-docs", "english-and-korean.png")
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with open(filename, "rb") as f:
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elements = image.partition_image(
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file=f,
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ocr_languages="eng+kor",
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strategy="ocr_only",
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)
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assert elements[0].text == "RULES AND INSTRUCTIONS"
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assert elements[3].text.replace(" ", "").startswith("안녕하세요")
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def test_partition_image_raises_with_bad_strategy():
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filename = os.path.join(
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DIRECTORY,
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"..",
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"..",
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"..",
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"example-docs",
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"english-and-korean.png",
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)
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with pytest.raises(ValueError):
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image.partition_image(filename=filename, strategy="fakeroo")
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def test_partition_image_default_strategy_hi_res():
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filename = os.path.join(
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DIRECTORY,
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"..",
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"..",
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"..",
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"example-docs",
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"layout-parser-paper-fast.jpg",
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)
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with open(filename, "rb") as f:
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elements = image.partition_image(file=f)
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title = "LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis"
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idx = 2
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assert elements[idx].text == title
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assert elements[idx].metadata.coordinates is not None
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assert elements[idx].metadata.detection_class_prob is not None
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assert isinstance(elements[idx].metadata.detection_class_prob, float)
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if UNSTRUCTURED_INCLUDE_DEBUG_METADATA:
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assert {element.metadata.detection_origin for element in elements} == {"image"}
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def test_partition_image_metadata_date(
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mocker,
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filename="example-docs/english-and-korean.png",
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):
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mocked_last_modification_date = "2029-07-05T09:24:28"
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mocker.patch(
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"unstructured.partition.pdf.get_last_modified_date",
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return_value=mocked_last_modification_date,
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)
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elements = image.partition_image(filename=filename)
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assert elements[0].metadata.last_modified == mocked_last_modification_date
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def test_partition_image_with_hi_res_strategy_metadata_date(
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mocker,
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filename="example-docs/english-and-korean.png",
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):
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mocked_last_modification_date = "2029-07-05T09:24:28"
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mocker.patch(
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"unstructured.partition.pdf.get_last_modified_date",
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return_value=mocked_last_modification_date,
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)
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elements = image.partition_image(filename=filename, stratefy="hi_res")
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assert elements[0].metadata.last_modified == mocked_last_modification_date
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def test_partition_image_metadata_date_custom_metadata_date(
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mocker,
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filename="example-docs/english-and-korean.png",
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):
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mocked_last_modification_date = "2029-07-05T09:24:28"
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expected_last_modification_date = "2009-07-05T09:24:28"
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mocker.patch(
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"unstructured.partition.pdf.get_last_modified_date",
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return_value=mocked_last_modification_date,
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)
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elements = image.partition_image(
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filename=filename,
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metadata_last_modified=expected_last_modification_date,
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)
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assert elements[0].metadata.last_modified == expected_last_modification_date
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def test_partition_image_with_hi_res_strategy_metadata_date_custom_metadata_date(
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mocker,
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filename="example-docs/english-and-korean.png",
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):
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mocked_last_modification_date = "2029-07-05T09:24:28"
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expected_last_modification_date = "2009-07-05T09:24:28"
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mocker.patch(
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"unstructured.partition.pdf.get_last_modified_date",
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return_value=mocked_last_modification_date,
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)
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elements = image.partition_image(
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filename=filename,
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stratefy="hi_res",
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metadata_last_modified=expected_last_modification_date,
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)
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assert elements[0].metadata.last_modified == expected_last_modification_date
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def test_partition_image_from_file_metadata_date(
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mocker,
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filename="example-docs/english-and-korean.png",
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):
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mocked_last_modification_date = "2029-07-05T09:24:28"
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mocker.patch(
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"unstructured.partition.pdf.get_last_modified_date_from_file",
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return_value=mocked_last_modification_date,
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)
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with open(filename, "rb") as f:
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elements = image.partition_image(file=f)
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assert elements[0].metadata.last_modified == mocked_last_modification_date
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def test_partition_image_from_file_with_hi_res_strategy_metadata_date(
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mocker,
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filename="example-docs/english-and-korean.png",
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):
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mocked_last_modification_date = "2029-07-05T09:24:28"
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mocker.patch(
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"unstructured.partition.pdf.get_last_modified_date_from_file",
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return_value=mocked_last_modification_date,
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)
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with open(filename, "rb") as f:
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elements = image.partition_image(file=f, stratefy="hi_res")
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assert elements[0].metadata.last_modified == mocked_last_modification_date
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def test_partition_image_from_file_metadata_date_custom_metadata_date(
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mocker,
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filename="example-docs/english-and-korean.png",
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):
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mocked_last_modification_date = "2029-07-05T09:24:28"
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expected_last_modification_date = "2009-07-05T09:24:28"
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mocker.patch(
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"unstructured.partition.pdf.get_last_modified_date_from_file",
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return_value=mocked_last_modification_date,
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)
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with open(filename, "rb") as f:
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elements = image.partition_image(
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file=f,
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metadata_last_modified=expected_last_modification_date,
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)
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assert elements[0].metadata.last_modified == expected_last_modification_date
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def test_partition_image_from_file_with_hi_res_strategy_metadata_date_custom_metadata_date(
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mocker,
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filename="example-docs/english-and-korean.png",
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):
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mocked_last_modification_date = "2029-07-05T09:24:28"
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expected_last_modification_date = "2009-07-05T09:24:28"
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mocker.patch(
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"unstructured.partition.pdf.get_last_modified_date_from_file",
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return_value=mocked_last_modification_date,
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)
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with open(filename, "rb") as f:
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elements = image.partition_image(
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file=f,
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metadata_last_modified=expected_last_modification_date,
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stratefy="hi_res",
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)
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assert elements[0].metadata.last_modified == expected_last_modification_date
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def test_partition_msg_with_json(
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filename="example-docs/layout-parser-paper-fast.jpg",
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):
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elements = image.partition_image(filename=filename, strategy="auto")
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test_elements = partition_json(text=elements_to_json(elements))
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assert len(elements) == len(test_elements)
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assert elements[0].metadata.page_number == test_elements[0].metadata.page_number
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for i in range(len(elements)):
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assert elements[i] == test_elements[i]
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def test_partition_image_with_ocr_has_coordinates_from_filename(
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filename="example-docs/english-and-korean.png",
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):
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elements = image.partition_image(filename=filename, strategy="ocr_only")
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int_coordinates = [(int(x), int(y)) for x, y in elements[0].metadata.coordinates.points]
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assert int_coordinates == [(14, 36), (14, 16), (381, 16), (381, 36)]
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@pytest.mark.parametrize(
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("filename"),
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[
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("example-docs/layout-parser-paper-with-table.jpg"),
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("example-docs/english-and-korean.png"),
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("example-docs/layout-parser-paper-fast.jpg"),
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],
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)
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def test_partition_image_with_ocr_coordinates_are_not_nan_from_filename(
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filename,
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):
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import math
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elements = image.partition_image(filename=filename, strategy="ocr_only")
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for element in elements:
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# TODO (jennings) One or multiple elements is an empty string
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# without coordinates. This should be fixed in a new issue
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if element.text:
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box = element.metadata.coordinates.points
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for point in box:
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assert point[0] is not math.nan
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assert point[1] is not math.nan
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def test_partition_image_formats_languages_for_tesseract():
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filename = "example-docs/jpn-vert.jpeg"
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with mock.patch(
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"unstructured.partition.ocr.process_file_with_ocr",
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) as mock_process_file_with_ocr:
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image.partition_image(filename=filename, strategy="hi_res", languages=["jpn_vert"])
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_, kwargs = mock_process_file_with_ocr.call_args_list[0]
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assert "ocr_languages" in kwargs
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assert kwargs["ocr_languages"] == "jpn_vert"
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def test_partition_image_warns_with_ocr_languages(caplog):
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filename = "example-docs/layout-parser-paper-fast.jpg"
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image.partition_image(filename=filename, strategy="hi_res", ocr_languages="eng")
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assert "The ocr_languages kwarg will be deprecated" in caplog.text
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def test_add_chunking_strategy_on_partition_image(
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filename="example-docs/layout-parser-paper-fast.jpg",
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):
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elements = image.partition_image(filename=filename)
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chunk_elements = image.partition_image(filename, chunking_strategy="by_title")
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chunks = chunk_by_title(elements)
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assert chunk_elements != elements
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assert chunk_elements == chunks
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def test_add_chunking_strategy_on_partition_image_hi_res(
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filename="example-docs/layout-parser-paper-with-table.jpg",
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):
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elements = image.partition_image(
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filename=filename,
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strategy="hi_res",
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infer_table_structure=True,
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)
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chunk_elements = image.partition_image(
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filename,
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strategy="hi_res",
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infer_table_structure=True,
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chunking_strategy="by_title",
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)
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chunks = chunk_by_title(elements)
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assert chunk_elements != elements
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assert chunk_elements == chunks
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def test_partition_image_uses_model_name():
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with mock.patch.object(
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pdf,
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"_partition_pdf_or_image_local",
|
|
) as mockpartition:
|
|
image.partition_image("example-docs/layout-parser-paper-fast.jpg", model_name="test")
|
|
print(mockpartition.call_args)
|
|
assert "model_name" in mockpartition.call_args.kwargs
|
|
assert mockpartition.call_args.kwargs["model_name"]
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
("ocr_mode", "idx_title_element"),
|
|
[
|
|
("entire_page", 2),
|
|
("individual_blocks", 1),
|
|
],
|
|
)
|
|
def test_partition_image_hi_res_ocr_mode(ocr_mode, idx_title_element):
|
|
filename = "example-docs/layout-parser-paper-fast.jpg"
|
|
elements = image.partition_image(filename=filename, ocr_mode=ocr_mode, strategy="hi_res")
|
|
first_line = "LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis"
|
|
# Note(yuming): idx_title_element is different based on xy-cut and ocr mode
|
|
assert elements[idx_title_element].text == first_line
|
|
|
|
|
|
def test_partition_image_hi_res_invalid_ocr_mode():
|
|
filename = "example-docs/layout-parser-paper-fast.jpg"
|
|
with pytest.raises(ValueError):
|
|
_ = image.partition_image(filename=filename, ocr_mode="invalid_ocr_mode", strategy="hi_res")
|
|
|
|
|
|
def test_partition_image_raises_TypeError_for_invalid_languages():
|
|
filename = "example-docs/layout-parser-paper-fast.jpg"
|
|
with pytest.raises(TypeError):
|
|
image.partition_image(filename=filename, strategy="hi_res", languages="eng")
|