mirror of
https://github.com/Unstructured-IO/unstructured.git
synced 2025-07-09 10:05:56 +00:00
9552fbbfbf
### Summary - bump unstructured-inference to `0.7.35` which fixed syntax for generated HTML tables - update unit tests and ingest test fixtures to reflect changes in the generated HTML tables - cut a release for `0.14.6` --------- Co-authored-by: ryannikolaidis <1208590+ryannikolaidis@users.noreply.github.com> Co-authored-by: christinestraub <christinestraub@users.noreply.github.com>
776 lines
25 KiB
Python
776 lines
25 KiB
Python
from __future__ import annotations
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import os
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import pathlib
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import tempfile
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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 test_unstructured.partition.pdf_image.test_pdf import assert_element_extraction
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from test_unstructured.unit_utils import assert_round_trips_through_JSON, example_doc_path
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from unstructured.chunking.title import chunk_by_title
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from unstructured.documents.elements import ElementType
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from unstructured.partition import image, pdf
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from unstructured.partition.pdf_image import ocr
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from unstructured.partition.utils.constants import (
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UNSTRUCTURED_INCLUDE_DEBUG_METADATA,
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PartitionStrategy,
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)
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from unstructured.utils import only
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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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self.elements = [
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layout.LayoutElement.from_coords(
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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=PartitionStrategy.AUTO)
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titles = [
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el for el in elements if el.category == ElementType.TITLE and len(el.text.split(" ")) > 10
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]
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title = "LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis"
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idx = 3
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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=PartitionStrategy.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><tr>" in table[0]
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assert "</thead><tbody><tr>" 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=PartitionStrategy.AUTO)
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assert elements[-1].metadata.page_number == 2
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def test_partition_image_with_bmp(
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tmpdir,
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filename="example-docs/layout-parser-paper-with-table.jpg",
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):
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bmp_filename = os.path.join(tmpdir.dirname, "example.bmp")
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img = Image.open(filename)
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img.save(bmp_filename)
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elements = image.partition_image(
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filename=bmp_filename,
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strategy=PartitionStrategy.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><tr>" in table[0]
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assert "</thead><tbody><tr>" in table[0]
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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=PartitionStrategy.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=PartitionStrategy.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=PartitionStrategy.HI_RES,
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ocr_languages="fakeroo",
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)
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@pytest.mark.parametrize(
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("strategy"),
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[
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(PartitionStrategy.HI_RES),
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(PartitionStrategy.OCR_ONLY),
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],
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)
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def test_partition_image_strategies_keep_languages_metadata(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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elements = image.partition_image(
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filename=filename,
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languages=["eng", "kor"],
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strategy=strategy,
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)
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assert elements[0].metadata.languages == ["eng", "kor"]
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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=PartitionStrategy.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=PartitionStrategy.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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# A bug in partition_groups_from_regions in unstructured-inference losses some sources
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assert {element.metadata.detection_origin for element in elements} == {
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"yolox",
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"ocr_tesseract",
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}
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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_image.pdf_image_utils.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_image.pdf_image_utils.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, strategy=PartitionStrategy.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_image.pdf_image_utils.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_image.pdf_image_utils.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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strategy=PartitionStrategy.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_image.pdf_image_utils.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 is None
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def test_partition_image_from_file_explicit_get_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_image.pdf_image_utils.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, date_from_file_object=True)
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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_image.pdf_image_utils.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, strategy=PartitionStrategy.HI_RES)
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assert elements[0].metadata.last_modified is None
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def test_partition_image_from_file_with_hi_res_strategy_explicit_get_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_image.pdf_image_utils.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, strategy=PartitionStrategy.HI_RES, date_from_file_object=True
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)
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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_image.pdf_image_utils.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_image.pdf_image_utils.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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strategy=PartitionStrategy.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_image_from_file_without_metadata_date(
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filename="example-docs/english-and-korean.png",
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):
|
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"""Test partition_image() with file that are not possible to get last modified date"""
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with open(filename, "rb") as f:
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sf = tempfile.SpooledTemporaryFile()
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sf.write(f.read())
|
|
sf.seek(0)
|
|
elements = image.partition_image(file=sf, date_from_file_object=True)
|
|
|
|
assert elements[0].metadata.last_modified is None
|
|
|
|
|
|
def test_partition_msg_with_json():
|
|
elements = image.partition_image(
|
|
example_doc_path("layout-parser-paper-fast.jpg"),
|
|
strategy=PartitionStrategy.AUTO,
|
|
)
|
|
assert_round_trips_through_JSON(elements)
|
|
|
|
|
|
def test_partition_image_with_ocr_has_coordinates_from_filename(
|
|
filename="example-docs/english-and-korean.png",
|
|
):
|
|
elements = image.partition_image(filename=filename, strategy=PartitionStrategy.OCR_ONLY)
|
|
int_coordinates = [(int(x), int(y)) for x, y in elements[0].metadata.coordinates.points]
|
|
assert int_coordinates == [(14, 16), (14, 37), (381, 37), (381, 16)]
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
("filename"),
|
|
[
|
|
("example-docs/layout-parser-paper-with-table.jpg"),
|
|
("example-docs/english-and-korean.png"),
|
|
("example-docs/layout-parser-paper-fast.jpg"),
|
|
],
|
|
)
|
|
def test_partition_image_with_ocr_coordinates_are_not_nan_from_filename(
|
|
filename,
|
|
):
|
|
import math
|
|
|
|
elements = image.partition_image(filename=filename, strategy=PartitionStrategy.OCR_ONLY)
|
|
for element in elements:
|
|
# TODO (jennings) One or multiple elements is an empty string
|
|
# without coordinates. This should be fixed in a new issue
|
|
if element.text:
|
|
box = element.metadata.coordinates.points
|
|
for point in box:
|
|
assert point[0] is not math.nan
|
|
assert point[1] is not math.nan
|
|
|
|
|
|
def test_partition_image_formats_languages_for_tesseract():
|
|
filename = "example-docs/jpn-vert.jpeg"
|
|
with mock.patch(
|
|
"unstructured.partition.pdf_image.ocr.process_file_with_ocr",
|
|
) as mock_process_file_with_ocr:
|
|
image.partition_image(
|
|
filename=filename, strategy=PartitionStrategy.HI_RES, languages=["jpn_vert"]
|
|
)
|
|
_, kwargs = mock_process_file_with_ocr.call_args_list[0]
|
|
assert "ocr_languages" in kwargs
|
|
assert kwargs["ocr_languages"] == "jpn_vert"
|
|
|
|
|
|
def test_partition_image_warns_with_ocr_languages(caplog):
|
|
filename = "example-docs/layout-parser-paper-fast.jpg"
|
|
image.partition_image(filename=filename, strategy=PartitionStrategy.HI_RES, ocr_languages="eng")
|
|
assert "The ocr_languages kwarg will be deprecated" in caplog.text
|
|
|
|
|
|
def test_add_chunking_strategy_on_partition_image(
|
|
filename="example-docs/layout-parser-paper-fast.jpg",
|
|
):
|
|
elements = image.partition_image(filename=filename)
|
|
chunk_elements = image.partition_image(filename, chunking_strategy="by_title")
|
|
chunks = chunk_by_title(elements)
|
|
assert chunk_elements != elements
|
|
assert chunk_elements == chunks
|
|
|
|
|
|
def test_add_chunking_strategy_on_partition_image_hi_res(
|
|
filename="example-docs/layout-parser-paper-with-table.jpg",
|
|
):
|
|
elements = image.partition_image(
|
|
filename=filename,
|
|
strategy=PartitionStrategy.HI_RES,
|
|
infer_table_structure=True,
|
|
)
|
|
chunk_elements = image.partition_image(
|
|
filename,
|
|
strategy=PartitionStrategy.HI_RES,
|
|
infer_table_structure=True,
|
|
chunking_strategy="by_title",
|
|
)
|
|
chunks = chunk_by_title(elements)
|
|
assert chunk_elements != elements
|
|
assert chunk_elements == chunks
|
|
|
|
|
|
def test_partition_image_uses_model_name():
|
|
with mock.patch.object(
|
|
pdf,
|
|
"_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"]
|
|
|
|
|
|
def test_partition_image_uses_hi_res_model_name():
|
|
with mock.patch.object(
|
|
pdf,
|
|
"_partition_pdf_or_image_local",
|
|
) as mockpartition:
|
|
image.partition_image("example-docs/layout-parser-paper-fast.jpg", hi_res_model_name="test")
|
|
print(mockpartition.call_args)
|
|
assert "model_name" not in mockpartition.call_args.kwargs
|
|
assert "hi_res_model_name" in mockpartition.call_args.kwargs
|
|
assert mockpartition.call_args.kwargs["hi_res_model_name"] == "test"
|
|
|
|
|
|
@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=PartitionStrategy.HI_RES
|
|
)
|
|
# Note(yuming): idx_title_element is different based on xy-cut and ocr mode
|
|
assert elements[idx_title_element].category == ElementType.TITLE
|
|
|
|
|
|
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=PartitionStrategy.HI_RES
|
|
)
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
("ocr_mode"),
|
|
[
|
|
("entire_page"),
|
|
("individual_blocks"),
|
|
],
|
|
)
|
|
def test_partition_image_hi_res_ocr_mode_with_table_extraction(ocr_mode):
|
|
filename = "example-docs/layout-parser-paper-with-table.jpg"
|
|
elements = image.partition_image(
|
|
filename=filename,
|
|
ocr_mode=ocr_mode,
|
|
strategy=PartitionStrategy.HI_RES,
|
|
infer_table_structure=True,
|
|
)
|
|
table = [el.metadata.text_as_html for el in elements if el.metadata.text_as_html]
|
|
assert len(table) == 1
|
|
assert "<table><thead><tr>" in table[0]
|
|
assert "</thead><tbody><tr>" in table[0]
|
|
assert "Layouts of history Japanese documents" in table[0]
|
|
assert "Layouts of scanned modern magazines and scientific reports" in table[0]
|
|
|
|
|
|
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=PartitionStrategy.HI_RES, languages="eng")
|
|
|
|
|
|
@pytest.fixture()
|
|
def inference_results():
|
|
page = layout.PageLayout(
|
|
number=1,
|
|
image=mock.MagicMock(format="JPEG"),
|
|
)
|
|
page.elements = [layout.LayoutElement.from_coords(0, 0, 600, 800, text="hello")]
|
|
doc = layout.DocumentLayout(pages=[page])
|
|
return doc
|
|
|
|
|
|
def test_partition_image_has_filename(inference_results):
|
|
doc_path = "example-docs"
|
|
filename = "layout-parser-paper-fast.jpg"
|
|
# Mock inference call with known return results
|
|
with mock.patch(
|
|
"unstructured_inference.inference.layout.process_file_with_model",
|
|
return_value=inference_results,
|
|
) as mock_inference_func:
|
|
elements = image.partition_image(
|
|
filename=os.path.join(doc_path, filename),
|
|
strategy=PartitionStrategy.HI_RES,
|
|
)
|
|
# Make sure we actually went down the path we expect.
|
|
mock_inference_func.assert_called_once()
|
|
# Unpack element but also make sure there is only one
|
|
element = only(elements)
|
|
# This makes sure we are still getting the filetype metadata (should be translated from the
|
|
# fixtures)
|
|
assert element.metadata.filetype == "JPEG"
|
|
# This should be kept from the filename we originally gave
|
|
assert element.metadata.filename == filename
|
|
|
|
|
|
@pytest.mark.parametrize("file_mode", ["filename", "rb"])
|
|
@pytest.mark.parametrize("extract_image_block_to_payload", [False, True])
|
|
def test_partition_image_element_extraction(
|
|
file_mode,
|
|
extract_image_block_to_payload,
|
|
filename=example_doc_path("embedded-images-tables.jpg"),
|
|
):
|
|
extract_image_block_types = ["Image", "Table"]
|
|
|
|
with tempfile.TemporaryDirectory() as tmpdir:
|
|
if file_mode == "filename":
|
|
elements = image.partition_image(
|
|
filename=filename,
|
|
extract_image_block_types=extract_image_block_types,
|
|
extract_image_block_to_payload=extract_image_block_to_payload,
|
|
extract_image_block_output_dir=tmpdir,
|
|
)
|
|
else:
|
|
with open(filename, "rb") as f:
|
|
elements = image.partition_image(
|
|
file=f,
|
|
extract_image_block_types=extract_image_block_types,
|
|
extract_image_block_to_payload=extract_image_block_to_payload,
|
|
extract_image_block_output_dir=tmpdir,
|
|
)
|
|
|
|
assert_element_extraction(
|
|
elements, extract_image_block_types, extract_image_block_to_payload, tmpdir
|
|
)
|
|
|
|
|
|
def test_partition_image_works_on_heic_file(
|
|
filename="example-docs/DA-1p.heic",
|
|
):
|
|
elements = image.partition_image(filename=filename, strategy=PartitionStrategy.AUTO)
|
|
titles = [el.text for el in elements if el.category == ElementType.TITLE]
|
|
assert "CREATURES" in titles
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
("strategy"),
|
|
[PartitionStrategy.HI_RES, PartitionStrategy.OCR_ONLY],
|
|
)
|
|
def test_deterministic_element_ids(strategy: str):
|
|
elements_1 = image.partition_image(
|
|
example_doc_path("layout-parser-paper-with-table.jpg"),
|
|
strategy=strategy,
|
|
starting_page_number=2,
|
|
)
|
|
elements_2 = image.partition_image(
|
|
example_doc_path("layout-parser-paper-with-table.jpg"),
|
|
strategy=strategy,
|
|
starting_page_number=2,
|
|
)
|
|
ids_1 = [element.id for element in elements_1]
|
|
ids_2 = [element.id for element in elements_2]
|
|
|
|
assert ids_1 == ids_2
|
|
|
|
|
|
def test_multipage_tiff_starts_on_starting_page_number():
|
|
elements = image.partition_image(
|
|
example_doc_path("layout-parser-paper-combined.tiff"),
|
|
starting_page_number=2,
|
|
)
|
|
pages = {element.metadata.page_number for element in elements}
|
|
|
|
assert pages == {2, 3}
|