mirror of
https://github.com/Unstructured-IO/unstructured.git
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d3242fb546
**Summary** Refactoring as part of `partition_xlsx()` algorithm replacement that was delayed by some CI challenges. A separate PR because it is cohesive and relatively independent from the prior PR.
531 lines
21 KiB
Python
531 lines
21 KiB
Python
# pyright: reportPrivateUsage=false
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"""Test-suite for the `unstructured.partition.xlsx` module."""
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from __future__ import annotations
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import sys
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import tempfile
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from typing import cast
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import pandas as pd
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import pandas.testing as pdt
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import pytest
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from pytest_mock import MockerFixture
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from test_unstructured.partition.test_constants import (
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EXPECTED_TABLE_XLSX,
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EXPECTED_TEXT_XLSX,
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EXPECTED_TITLE,
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)
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from test_unstructured.unit_utils import assert_round_trips_through_JSON, example_doc_path
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from unstructured.cleaners.core import clean_extra_whitespace
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from unstructured.documents.elements import ListItem, Table, Text, Title
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from unstructured.partition.xlsx import (
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_CellCoordinate,
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_ConnectedComponent,
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_SubtableParser,
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partition_xlsx,
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)
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EXPECTED_FILETYPE = "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
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EXCEPTED_PAGE_NAME = "Stanley Cups"
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# ------------------------------------------------------------------------------------------------
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# INTEGRATION TESTS
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# ------------------------------------------------------------------------------------------------
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# These test `partition_xlsx()` as a whole by calling `partition_xlsx()` and inspecting the
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# outputs.
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# ------------------------------------------------------------------------------------------------
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def test_partition_xlsx_from_filename():
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elements = partition_xlsx("example-docs/stanley-cups.xlsx", include_header=False)
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assert sum(isinstance(element, Table) for element in elements) == 2
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assert len(elements) == 4
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assert clean_extra_whitespace(elements[0].text) == EXPECTED_TITLE
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assert clean_extra_whitespace(elements[1].text) == EXPECTED_TEXT_XLSX
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assert elements[1].metadata.text_as_html == EXPECTED_TABLE_XLSX
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assert elements[1].metadata.page_number == 1
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assert elements[1].metadata.filetype == EXPECTED_FILETYPE
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assert elements[1].metadata.page_name == EXCEPTED_PAGE_NAME
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assert elements[1].metadata.filename == "stanley-cups.xlsx"
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def test_partition_xlsx_from_filename_no_subtables():
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"""Partition to a single `Table` element per worksheet."""
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assert partition_xlsx("example-docs/stanley-cups.xlsx", find_subtable=False) == [
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Table(
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"\n\n\nStanley Cups\n\n\n\n\nTeam\nLocation\nStanley Cups\n\n\nBlues\nSTL\n1\n\n\n"
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"Flyers\nPHI\n2\n\n\nMaple Leafs\nTOR\n13\n\n\n"
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),
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Table(
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"\n\n\nStanley Cups Since 67\n\n\n\n\nTeam\nLocation\nStanley Cups\n\n\nBlues\nSTL\n"
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"1\n\n\nFlyers\nPHI\n2\n\n\nMaple Leafs\nTOR\n0\n\n\n"
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),
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]
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def test_partition_xlsx_from_filename_no_subtables_no_metadata():
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elements = partition_xlsx(
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"example-docs/stanley-cups.xlsx", find_subtable=False, include_metadata=False
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)
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assert elements == [
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Table(
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"\n\n\nStanley Cups\n\n\n\n\nTeam\nLocation\nStanley Cups\n\n\nBlues\nSTL\n1\n\n\n"
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"Flyers\nPHI\n2\n\n\nMaple Leafs\nTOR\n13\n\n\n"
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),
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Table(
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"\n\n\nStanley Cups Since 67\n\n\n\n\nTeam\nLocation\nStanley Cups\n\n\nBlues\nSTL\n"
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"1\n\n\nFlyers\nPHI\n2\n\n\nMaple Leafs\nTOR\n0\n\n\n"
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),
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]
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assert all(e.metadata.text_as_html is None for e in elements)
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def test_partition_xlsx_from_SpooledTemporaryFile_with_emoji():
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f = tempfile.SpooledTemporaryFile()
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with open("example-docs/emoji.xlsx", "rb") as g:
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f.write(g.read())
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elements = partition_xlsx(file=f, include_header=False)
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assert sum(isinstance(element, Text) for element in elements) == 1
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assert len(elements) == 1
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assert clean_extra_whitespace(elements[0].text) == "🤠😅"
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def test_partition_xlsx_raises_on_no_file_or_path_provided():
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with pytest.raises(ValueError, match="Either 'filename' or 'file' argument must be specif"):
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partition_xlsx()
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def test_partition_xlsx_from_filename_with_metadata_filename():
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elements = partition_xlsx(
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"example-docs/stanley-cups.xlsx", metadata_filename="test", include_header=False
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)
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assert sum(isinstance(element, Table) for element in elements) == 2
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assert sum(isinstance(element, Title) for element in elements) == 2
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assert clean_extra_whitespace(elements[0].text) == EXPECTED_TITLE
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assert clean_extra_whitespace(elements[1].text) == EXPECTED_TEXT_XLSX
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assert elements[0].metadata.filename == "test"
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@pytest.mark.parametrize(
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"infer_table_structure",
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[
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True,
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False,
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],
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)
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def test_partition_xlsx_infer_table_structure(infer_table_structure: bool):
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elements = partition_xlsx(
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"example-docs/stanley-cups.xlsx", infer_table_structure=infer_table_structure
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)
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table_elements = [e for e in elements if isinstance(e, Table)]
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for table_element in table_elements:
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table_element_has_text_as_html_field = (
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hasattr(table_element.metadata, "text_as_html")
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and table_element.metadata.text_as_html is not None
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)
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assert table_element_has_text_as_html_field == infer_table_structure
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def test_partition_xlsx_from_filename_with_header():
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elements = partition_xlsx("example-docs/stanley-cups.xlsx", include_header=True)
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assert sum(isinstance(element, Table) for element in elements) == 2
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assert len(elements) == 2
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assert (
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clean_extra_whitespace(elements[0].text)
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== "Stanley Cups Unnamed: 1 Unnamed: 2 " + EXPECTED_TEXT_XLSX
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)
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text_as_html = elements[0].metadata.text_as_html
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assert text_as_html is not None
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assert "<thead>" in text_as_html
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def test_partition_xlsx_from_file():
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with open("example-docs/stanley-cups.xlsx", "rb") as f:
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elements = partition_xlsx(file=f, include_header=False)
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assert sum(isinstance(element, Table) for element in elements) == 2
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assert len(elements) == 4
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assert clean_extra_whitespace(elements[0].text) == EXPECTED_TITLE
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assert clean_extra_whitespace(elements[1].text) == EXPECTED_TEXT_XLSX
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assert elements[1].metadata.text_as_html == EXPECTED_TABLE_XLSX
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assert elements[1].metadata.page_number == 1
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assert elements[1].metadata.filetype == EXPECTED_FILETYPE
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assert elements[1].metadata.page_name == EXCEPTED_PAGE_NAME
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assert elements[1].metadata.filename is None
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def test_partition_xlsx_from_file_with_metadata_filename():
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with open("example-docs/stanley-cups.xlsx", "rb") as f:
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elements = partition_xlsx(file=f, metadata_filename="test", include_header=False)
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assert sum(isinstance(element, Table) for element in elements) == 2
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assert clean_extra_whitespace(elements[1].text) == EXPECTED_TEXT_XLSX
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assert elements[1].metadata.filename == "test"
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def test_partition_xlsx_from_file_with_header():
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with open("example-docs/stanley-cups.xlsx", "rb") as f:
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elements = partition_xlsx(file=f, include_header=True)
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assert sum(isinstance(element, Table) for element in elements) == 2
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assert len(elements) == 2
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assert (
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clean_extra_whitespace(elements[0].text)
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== "Stanley Cups Unnamed: 1 Unnamed: 2 " + EXPECTED_TEXT_XLSX
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)
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text_as_html = elements[0].metadata.text_as_html
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assert text_as_html is not None
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assert "<thead>" in text_as_html
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def test_partition_xlsx_filename_exclude_metadata():
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elements = partition_xlsx(
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"example-docs/stanley-cups.xlsx", include_metadata=False, include_header=False
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)
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assert sum(isinstance(element, Table) for element in elements) == 2
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assert len(elements) == 4
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assert clean_extra_whitespace(elements[1].text) == EXPECTED_TEXT_XLSX
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assert elements[1].metadata.text_as_html is None
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assert elements[1].metadata.page_number is None
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assert elements[1].metadata.filetype is None
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assert elements[1].metadata.page_name is None
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assert elements[1].metadata.filename is None
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def test_partition_xlsx_from_file_exclude_metadata():
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with open("example-docs/stanley-cups.xlsx", "rb") as f:
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elements = partition_xlsx(file=f, include_metadata=False, include_header=False)
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assert sum(isinstance(element, Table) for element in elements) == 2
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assert sum(isinstance(element, Title) for element in elements) == 2
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assert len(elements) == 4
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assert clean_extra_whitespace(elements[0].text) == EXPECTED_TITLE
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assert clean_extra_whitespace(elements[1].text) == EXPECTED_TEXT_XLSX
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assert elements[0].metadata.text_as_html is None
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assert elements[0].metadata.page_number is None
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assert elements[0].metadata.filetype is None
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assert elements[0].metadata.page_name is None
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assert elements[0].metadata.filename is None
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def test_partition_xlsx_metadata_date(mocker: MockerFixture):
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mocker.patch(
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"unstructured.partition.xlsx.get_last_modified_date", return_value="2029-07-05T09:24:28"
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)
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elements = partition_xlsx("example-docs/stanley-cups.xlsx")
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assert elements[0].metadata.last_modified == "2029-07-05T09:24:28"
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def test_partition_xlsx_with_custom_metadata_date(mocker: MockerFixture):
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"""`metadata_last_modified` is preferred when provided"""
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mocker.patch(
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"unstructured.partition.xlsx.get_last_modified_date", return_value="2023-12-18T17:42:17"
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)
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elements = partition_xlsx(
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"example-docs/stanley-cups.xlsx", metadata_last_modified="2020-07-05T09:24:28"
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)
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assert elements[0].metadata.last_modified == "2020-07-05T09:24:28"
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def test_partition_xlsx_from_file_metadata_date(mocker: MockerFixture):
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"""File's last-modified date is used when that's the best available source."""
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mocker.patch(
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"unstructured.partition.xlsx.get_last_modified_date_from_file",
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return_value="2029-07-05T09:24:28",
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)
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with open("example-docs/stanley-cups.xlsx", "rb") as f:
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elements = partition_xlsx(file=f)
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assert elements[0].metadata.last_modified == "2029-07-05T09:24:28"
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def test_partition_xlsx_from_file_with_custom_metadata_date(mocker: MockerFixture):
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"""`metadata_last_modified` is preferred to file last-modified date when provided"""
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mocker.patch(
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"unstructured.partition.xlsx.get_last_modified_date_from_file",
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return_value="2023-12-18T17:42:17",
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)
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with open("example-docs/stanley-cups.xlsx", "rb") as f:
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elements = partition_xlsx(file=f, metadata_last_modified="2020-07-05T09:24:28")
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assert elements[0].metadata.last_modified == "2020-07-05T09:24:28"
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def test_partition_xlsx_with_json():
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elements = partition_xlsx(example_doc_path("stanley-cups.xlsx"), include_header=False)
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assert_round_trips_through_JSON(elements)
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def test_partition_xlsx_metadata_language_from_filename():
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elements = partition_xlsx("example-docs/stanley-cups.xlsx", include_header=False)
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assert sum(isinstance(element, Table) for element in elements) == 2
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assert len(elements) == 4
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assert elements[0].metadata.languages == ["eng"]
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def test_partition_xlsx_subtables():
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assert partition_xlsx("example-docs/xlsx-subtable-cases.xlsx") == [
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Table("\n\n\na\nb\n\n\n\n\nc\nd\n\ne\n\n\n"),
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ListItem("f"),
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Title("a"),
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Table("\n\n\nb\nc\n\n\nd\ne\n\n\n"),
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Title("a"),
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Title("b"),
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Table("\n\n\nc\nd\n\n\ne\nf\n\n\n"),
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Table("\n\n\na\nb\n\n\nc\nd\n\n\n"),
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ListItem("2. e"),
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Table("\n\n\na\nb\n\n\nc\nd\n\n\n"),
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Title("e"),
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Title("f"),
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Title("a"),
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Table("\n\n\nb\nc\n\n\nd\ne\n\n\n"),
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Title("f"),
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Title("a"),
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Title("b"),
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Table("\n\n\nc\nd\n\n\ne\nf\n\n\n"),
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Title("g"),
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Title("a"),
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Table("\n\n\nb\nc\n\n\nd\ne\n\n\n"),
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Title("f"),
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Title("g"),
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Title("a"),
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Title("b"),
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Table("\n\n\nc\nd\n\n\ne\nf\n\n\n"),
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Title("g"),
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Title("h"),
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Table("\n\n\na\nb\nc\n\n\n"),
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Title("a"),
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Table("\n\n\nb\nc\nd\n\n\n"),
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Table("\n\n\na\nb\nc\n\n\n"),
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Title("d"),
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Title("e"),
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]
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def test_partition_xlsx_element_metadata_has_languages():
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elements = partition_xlsx("example-docs/stanley-cups.xlsx")
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assert elements[0].metadata.languages == ["eng"]
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def test_partition_eml_respects_detect_language_per_element():
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elements = partition_xlsx(
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"example-docs/language-docs/eng_spa.xlsx", detect_language_per_element=True
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)
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langs = {e.metadata.languages[0] for e in elements if e.metadata.languages}
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assert "eng" in langs
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assert "spa" in langs
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def test_partition_xlsx_with_more_than_1k_cells():
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old_recursion_limit = sys.getrecursionlimit()
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try:
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sys.setrecursionlimit(1000)
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partition_xlsx("example-docs/more-than-1k-cells.xlsx")
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finally:
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sys.setrecursionlimit(old_recursion_limit)
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# ------------------------------------------------------------------------------------------------
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# UNIT TESTS
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# ------------------------------------------------------------------------------------------------
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# These test components used by `partition_xlsx()` in isolation such that all edge cases can be
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# exercised.
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# ------------------------------------------------------------------------------------------------
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class Describe_ConnectedComponent:
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"""Unit-test suite for `unstructured.partition.xlsx._ConnectedComponent` objects."""
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def it_knows_its_top_and_left_extents(self):
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component = _ConnectedComponent(pd.DataFrame(), {(0, 1), (2, 2), (1, 1), (2, 3), (1, 2)})
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assert component.min_x == 0
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assert component.max_x == 2
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def it_can_merge_with_another_component_to_make_a_new_component(self):
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df = pd.DataFrame()
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component = _ConnectedComponent(df, {(0, 1), (0, 2), (1, 1)})
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other = _ConnectedComponent(df, {(0, 4), (1, 3), (1, 4)})
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merged = component.merge(other)
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assert merged._worksheet is df
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assert merged._cell_coordinate_set == {(0, 1), (0, 2), (1, 1), (0, 4), (1, 3), (1, 4)}
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def it_can_extract_the_rectangular_subtable_containing_its_cells_from_the_worksheet(self):
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worksheet_df = pd.DataFrame(
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[["a", "b", "c"], [], ["d", "e"], ["f", "g"], [None, "h"], [], ["i"]],
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index=[0, 1, 2, 3, 4, 5, 6],
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)
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cell_coordinate_set = cast("set[_CellCoordinate]", {(2, 0), (2, 1), (3, 0), (3, 1), (4, 1)})
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component = _ConnectedComponent(worksheet_df, cell_coordinate_set)
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subtable = component.subtable
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print(f"{subtable=}")
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pdt.assert_frame_equal(
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subtable, pd.DataFrame([["d", "e"], ["f", "g"], [None, "h"]], index=[2, 3, 4])
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)
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class Describe_SubtableParser:
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"""Unit-test suite for `unstructured.partition.xlsx._SubtableParser` objects."""
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@pytest.mark.parametrize(
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("subtable", "expected_value"),
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[
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# -- 1. no leading or trailing single-cell rows --
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(
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pd.DataFrame([["a", "b"], ["c", "d"]], index=[0, 1]),
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pd.DataFrame([["a", "b"], ["c", "d"]], index=[0, 1]),
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),
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# -- 2. one leading single-cell row --
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(
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pd.DataFrame([["a"], ["b", "c"], ["d", "e"]], index=[0, 1, 2]),
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pd.DataFrame([["b", "c"], ["d", "e"]], index=[1, 2]),
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),
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# -- 3. two leading single-cell rows --
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(
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pd.DataFrame(
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[[None, "a"], [None, "b"], ["c", "d"], ["e", "f"]], index=[0, 1, 2, 3]
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),
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pd.DataFrame([["c", "d"], ["e", "f"]], index=[2, 3]),
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),
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# -- 4. one trailing single-cell row --
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(
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pd.DataFrame([["a", "b"], ["c", "d"], [None, "e"]], index=[0, 1, 2]),
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pd.DataFrame([["a", "b"], ["c", "d"]], index=[0, 1]),
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),
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# -- 5. two trailing single-cell rows --
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(
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pd.DataFrame([["a", "b"], ["c", "d"], ["e"], ["f"]], index=[0, 1, 2, 3]),
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pd.DataFrame([["a", "b"], ["c", "d"]], index=[0, 1]),
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),
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# -- 6. one leading, one trailing single-cell rows --
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(
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pd.DataFrame([["a"], ["b", "c"], ["d", "e"], [None, "f"]], index=[0, 1, 2, 3]),
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pd.DataFrame([["b", "c"], ["d", "e"]], index=[1, 2]),
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),
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# -- 7. two leading, one trailing single-cell rows --
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(
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pd.DataFrame([["a"], ["b"], ["c", "d"], ["e", "f"], ["g"]], index=[0, 1, 2, 3, 4]),
|
|
pd.DataFrame([["c", "d"], ["e", "f"]], index=[2, 3]),
|
|
),
|
|
# -- 8. one leading, two trailing single-cell rows --
|
|
(
|
|
pd.DataFrame(
|
|
[[None, "a"], ["b", "c"], ["d", "e"], [None, "f"], [None, "g"]],
|
|
index=[0, 1, 2, 3, 4],
|
|
),
|
|
pd.DataFrame([["b", "c"], ["d", "e"]], index=[1, 2]),
|
|
),
|
|
# -- 9. two leading, two trailing single-cell rows --
|
|
(
|
|
pd.DataFrame(
|
|
[["a"], ["b"], ["c", "d"], ["e", "f"], ["g"], ["h"]], index=[0, 1, 2, 3, 4, 5]
|
|
),
|
|
pd.DataFrame([["c", "d"], ["e", "f"]], index=[2, 3]),
|
|
),
|
|
# -- 10. single-row core-table, no leading or trailing single-cell rows --
|
|
(
|
|
pd.DataFrame([["a", "b", "c"]], index=[0]),
|
|
pd.DataFrame([["a", "b", "c"]], index=[0]),
|
|
),
|
|
# -- 11. single-row core-table, one leading single-cell row --
|
|
(
|
|
pd.DataFrame([["a"], ["b", "c", "d"]], index=[0, 1]),
|
|
pd.DataFrame([["b", "c", "d"]], index=[1]),
|
|
),
|
|
# -- 12. single-row core-table, two trailing single-cell rows --
|
|
(
|
|
pd.DataFrame([["a", "b", "c"], ["d"], ["e"]], index=[0, 1, 2]),
|
|
pd.DataFrame([["a", "b", "c"]], index=[0]),
|
|
),
|
|
],
|
|
)
|
|
def it_extracts_the_core_table_from_a_subtable(
|
|
self, subtable: pd.DataFrame, expected_value: pd.DataFrame
|
|
):
|
|
"""core-table is correctly distinguished from leading and trailing single-cell rows."""
|
|
subtable_parser = _SubtableParser(subtable)
|
|
|
|
core_table = subtable_parser.core_table
|
|
|
|
assert core_table is not None
|
|
pdt.assert_frame_equal(core_table, expected_value)
|
|
|
|
@pytest.mark.parametrize(
|
|
("subtable", "expected_value"),
|
|
[
|
|
(pd.DataFrame([["a", "b"], ["c", "d"]]), []),
|
|
(pd.DataFrame([["a"], ["b", "c"], ["d", "e"]]), ["a"]),
|
|
(pd.DataFrame([[None, "a"], [None, "b"], ["c", "d"], ["e", "f"]]), ["a", "b"]),
|
|
(pd.DataFrame([["a", "b"], ["c", "d"], [None, "e"]]), []),
|
|
(pd.DataFrame([["a", "b"], ["c", "d"], ["e"], ["f"]]), []),
|
|
(pd.DataFrame([["a"], ["b", "c"], ["d", "e"], [None, "f"]]), ["a"]),
|
|
(pd.DataFrame([["a"], ["b"], ["c", "d"], ["e", "f"], ["g"]]), ["a", "b"]),
|
|
(pd.DataFrame([[None, "a"], ["b", "c"], ["d", "e"], [None, "f"], [None, "g"]]), ["a"]),
|
|
(pd.DataFrame([["a"], ["b"], ["c", "d"], ["e", "f"], ["g"], ["h"]]), ["a", "b"]),
|
|
(pd.DataFrame([["a", "b", "c"]]), []),
|
|
(pd.DataFrame([["a"], ["b", "c", "d"]]), ["a"]),
|
|
(pd.DataFrame([["a", "b", "c"], ["d"], ["e"]]), []),
|
|
],
|
|
)
|
|
def it_extracts_the_leading_single_cell_rows_from_a_subtable(
|
|
self, subtable: pd.DataFrame, expected_value: pd.DataFrame
|
|
):
|
|
subtable_parser = _SubtableParser(subtable)
|
|
leading_single_cell_row_texts = list(subtable_parser.iter_leading_single_cell_rows_texts())
|
|
assert leading_single_cell_row_texts == expected_value
|
|
|
|
@pytest.mark.parametrize(
|
|
("subtable", "expected_value"),
|
|
[
|
|
(pd.DataFrame([["a", "b"], ["c", "d"]]), []),
|
|
(pd.DataFrame([["a"], ["b", "c"], ["d", "e"]]), []),
|
|
(pd.DataFrame([[None, "a"], [None, "b"], ["c", "d"], ["e", "f"]]), []),
|
|
(pd.DataFrame([["a", "b"], ["c", "d"], [None, "e"]]), ["e"]),
|
|
(pd.DataFrame([["a", "b"], ["c", "d"], ["e"], ["f"]]), ["e", "f"]),
|
|
(pd.DataFrame([["a"], ["b", "c"], ["d", "e"], [None, "f"]]), ["f"]),
|
|
(pd.DataFrame([["a"], ["b"], ["c", "d"], ["e", "f"], ["g"]]), ["g"]),
|
|
(
|
|
pd.DataFrame([[None, "a"], ["b", "c"], ["d", "e"], [None, "f"], [None, "g"]]),
|
|
["f", "g"],
|
|
),
|
|
(pd.DataFrame([["a"], ["b"], ["c", "d"], ["e", "f"], ["g"], ["h"]]), ["g", "h"]),
|
|
(pd.DataFrame([["a", "b", "c"]]), []),
|
|
(pd.DataFrame([["a"], ["b", "c", "d"]]), []),
|
|
(pd.DataFrame([["a", "b", "c"], ["d"], ["e"]]), ["d", "e"]),
|
|
],
|
|
)
|
|
def it_extracts_the_trailing_single_cell_rows_from_a_subtable(
|
|
self, subtable: pd.DataFrame, expected_value: pd.DataFrame
|
|
):
|
|
subtable_parser = _SubtableParser(subtable)
|
|
|
|
trailing_single_cell_row_texts = list(
|
|
subtable_parser.iter_trailing_single_cell_rows_texts()
|
|
)
|
|
|
|
assert trailing_single_cell_row_texts == expected_value
|