2023-05-04 16:23:51 -04:00
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import os
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import pathlib
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2023-02-27 17:30:54 +01:00
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from unittest import mock
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2023-01-13 22:24:13 -06:00
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import pytest
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import requests
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2023-04-21 09:41:26 -04:00
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from pytesseract import TesseractError
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2023-02-27 17:30:54 +01:00
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from unstructured_inference.inference import layout
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from unstructured.documents.elements import Title
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from unstructured.partition import image, pdf
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2023-05-04 16:23:51 -04:00
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DIRECTORY = pathlib.Path(__file__).parent.resolve()
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is_in_docker = os.path.exists("/.dockerenv")
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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": [{"type": "Title", "text": "Charlie Brown and the Great Pumpkin"}],
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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):
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pass
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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(
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number=0,
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),
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]
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def test_partition_image_api(monkeypatch, filename="example-docs/example.jpg"):
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monkeypatch.setattr(requests, "post", mock_successful_post)
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monkeypatch.setattr(requests, "get", mock_healthy_get)
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partition_image_response = pdf._partition_via_api(filename)
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assert partition_image_response[0]["type"] == "Title"
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assert partition_image_response[0]["text"] == "Charlie Brown and the Great Pumpkin"
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assert partition_image_response[1]["type"] == "Title"
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assert partition_image_response[1]["text"] == "A Charlie Brown Christmas"
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def test_partition_image_api_page_break(monkeypatch, filename="example-docs/example.jpg"):
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monkeypatch.setattr(requests, "post", mock_successful_post)
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monkeypatch.setattr(requests, "get", mock_healthy_get)
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partition_image_response = pdf._partition_via_api(filename, include_page_breaks=True)
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assert partition_image_response[0]["type"] == "Title"
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assert partition_image_response[0]["text"] == "Charlie Brown and the Great Pumpkin"
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assert partition_image_response[1]["type"] == "PageBreak"
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assert partition_image_response[2]["type"] == "Title"
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assert partition_image_response[2]["text"] == "A Charlie Brown Christmas"
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@pytest.mark.parametrize(
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("filename", "file"),
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[("example-docs/example.jpg", None), (None, b"0000")],
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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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partition_image_response = pdf._partition_pdf_or_image_local(filename, file, is_image=True)
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assert partition_image_response[0].type == "Title"
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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_api_raises_with_failed_healthcheck(
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monkeypatch,
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filename="example-docs/example.jpg",
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):
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monkeypatch.setattr(requests, "post", mock_successful_post)
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monkeypatch.setattr(requests, "get", mock_unhealthy_get)
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with pytest.raises(ValueError):
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pdf._partition_via_api(filename=filename, url="http://ml.unstructured.io/layout/image")
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def test_partition_image_api_raises_with_failed_api_call(
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monkeypatch,
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filename="example-docs/example.jpg",
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):
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monkeypatch.setattr(requests, "post", mock_unsuccessful_post)
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monkeypatch.setattr(requests, "get", mock_healthy_get)
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with pytest.raises(ValueError):
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pdf._partition_via_api(filename=filename, url="http://ml.unstructured.io/layout/image")
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@pytest.mark.parametrize(
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("url", "api_called", "local_called"),
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[("fakeurl", True, False), (None, False, True)],
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)
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def test_partition_image(url, api_called, local_called):
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with mock.patch.object(
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pdf,
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attribute="_partition_via_api",
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new=mock.MagicMock(),
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), mock.patch.object(pdf, "_partition_pdf_or_image_local", mock.MagicMock()):
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image.partition_image(filename="fake.pdf", strategy="hi_res", url=url)
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assert pdf._partition_via_api.called == api_called
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assert pdf._partition_pdf_or_image_local.called == local_called
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def test_partition_image_with_auto_strategy(filename="example-docs/layout-parser-paper-fast.jpg"):
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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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assert titles[0].text == title
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def test_partition_image_with_language_passed(filename="example-docs/example.jpg"):
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with mock.patch.object(layout, "process_file_with_model", mock.MagicMock()) as mock_partition:
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image.partition_image(filename=filename, 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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def test_partition_image_from_file_with_language_passed(filename="example-docs/example.jpg"):
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with mock.patch.object(layout, "process_data_with_model", mock.MagicMock()) as mock_partition:
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with 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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def test_partition_image_raises_with_invalid_language(filename="example-docs/example.jpg"):
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with pytest.raises(TesseractError):
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image.partition_image(filename=filename, strategy="hi_res", ocr_languages="fakeroo")
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@pytest.mark.skipif(is_in_docker, reason="Skipping this test in Docker container")
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def test_partition_image_with_ocr_detects_korean():
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filename = os.path.join(DIRECTORY, "..", "..", "example-docs", "english-and-korean.png")
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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] == Title("RULES AND INSTRUCTIONS")
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assert elements[3].text.startswith("안녕하세요")
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@pytest.mark.skipif(is_in_docker, reason="Skipping this test in Docker container")
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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] == Title("RULES AND INSTRUCTIONS")
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assert elements[3].text.startswith("안녕하세요")
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def test_partition_image_raises_with_bad_strategy():
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filename = os.path.join(DIRECTORY, "..", "..", "example-docs", "english-and-korean.png")
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with pytest.raises(ValueError):
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image.partition_image(filename=filename, strategy="fakeroo")
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