mirror of
https://github.com/Unstructured-IO/unstructured.git
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e0201e9a11
This PR adds support for `source` property from `unstructured_inference`, allowing the user to be able to see the origin of the data under `detection_origin`field environment variable UNSTRUCTURED_INCLUDE_DEBUG_METADATA=true In order to try this feature you can use this code: ``` from unstructured.partition.pdf import partition_pdf_or_image yolox_elements = partition_pdf_or_image(filename='example-docs/loremipsum-flat.pdf', strategy='hi_res', model_name='yolox') sources = [e.detection_origin for e in yolox_elements] print(sources) ``` And will print 'yolox' as source for all the elements
210 lines
7.5 KiB
Python
210 lines
7.5 KiB
Python
from tempfile import SpooledTemporaryFile
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import pytest
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from test_unstructured.partition.test_constants import (
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EXPECTED_TABLE,
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EXPECTED_TABLE_WITH_EMOJI,
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EXPECTED_TEXT,
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EXPECTED_TEXT_WITH_EMOJI,
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)
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from unstructured.chunking.title import chunk_by_title
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from unstructured.cleaners.core import clean_extra_whitespace
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from unstructured.documents.elements import Table
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from unstructured.partition.csv import partition_csv
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from unstructured.partition.json import partition_json
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from unstructured.partition.utils.constants import UNSTRUCTURED_INCLUDE_DEBUG_METADATA
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from unstructured.staging.base import elements_to_json
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EXPECTED_FILETYPE = "text/csv"
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@pytest.mark.parametrize(
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("filename", "expected_text", "expected_table"),
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[
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("stanley-cups.csv", EXPECTED_TEXT, EXPECTED_TABLE),
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("stanley-cups-with-emoji.csv", EXPECTED_TEXT_WITH_EMOJI, EXPECTED_TABLE_WITH_EMOJI),
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],
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)
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def test_partition_csv_from_filename(filename, expected_text, expected_table):
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f_path = f"example-docs/{filename}"
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elements = partition_csv(filename=f_path)
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assert clean_extra_whitespace(elements[0].text) == expected_text
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assert elements[0].metadata.text_as_html == expected_table
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assert elements[0].metadata.filetype == EXPECTED_FILETYPE
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assert elements[0].metadata.filename == filename
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def test_partition_csv_from_filename_with_metadata_filename(
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filename="example-docs/stanley-cups.csv",
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):
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elements = partition_csv(filename=filename, metadata_filename="test")
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assert clean_extra_whitespace(elements[0].text) == EXPECTED_TEXT
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assert elements[0].metadata.filename == "test"
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@pytest.mark.parametrize(
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("filename", "expected_text", "expected_table"),
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[
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("stanley-cups.csv", EXPECTED_TEXT, EXPECTED_TABLE),
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("stanley-cups-with-emoji.csv", EXPECTED_TEXT_WITH_EMOJI, EXPECTED_TABLE_WITH_EMOJI),
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],
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)
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def test_partition_csv_from_file(filename, expected_text, expected_table):
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f_path = f"example-docs/{filename}"
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with open(f_path, "rb") as f:
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elements = partition_csv(file=f)
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assert clean_extra_whitespace(elements[0].text) == expected_text
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assert isinstance(elements[0], Table)
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assert elements[0].metadata.text_as_html == expected_table
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assert elements[0].metadata.filetype == EXPECTED_FILETYPE
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assert elements[0].metadata.filename is None
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if UNSTRUCTURED_INCLUDE_DEBUG_METADATA:
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assert {element.metadata.detection_origin for element in elements} == {"csv"}
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def test_partition_csv_from_file_with_metadata_filename(filename="example-docs/stanley-cups.csv"):
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with open(filename, "rb") as f:
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elements = partition_csv(file=f, metadata_filename="test")
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assert clean_extra_whitespace(elements[0].text) == EXPECTED_TEXT
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assert elements[0].metadata.filename == "test"
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def test_partition_csv_can_exclude_metadata(filename="example-docs/stanley-cups.csv"):
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elements = partition_csv(filename=filename, include_metadata=False)
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assert clean_extra_whitespace(elements[0].text) == EXPECTED_TEXT
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assert isinstance(elements[0], Table)
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assert elements[0].metadata.text_as_html is None
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assert elements[0].metadata.filetype is None
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assert elements[0].metadata.filename is None
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def test_partition_csv_metadata_date(mocker, filename="example-docs/stanley-cups.csv"):
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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.csv.get_last_modified_date",
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return_value=mocked_last_modification_date,
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)
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elements = partition_csv(filename=filename)
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assert clean_extra_whitespace(elements[0].text) == EXPECTED_TEXT
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assert isinstance(elements[0], Table)
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assert elements[0].metadata.last_modified == mocked_last_modification_date
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def test_partition_csv_custom_metadata_date(
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mocker,
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filename="example-docs/stanley-cups.csv",
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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 = "2020-07-05T09:24:28"
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mocker.patch(
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"unstructured.partition.csv.get_last_modified_date",
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return_value=mocked_last_modification_date,
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)
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elements = partition_csv(
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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 clean_extra_whitespace(elements[0].text) == EXPECTED_TEXT
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assert isinstance(elements[0], Table)
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assert elements[0].metadata.last_modified == expected_last_modification_date
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def test_partition_csv_from_file_metadata_date(
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mocker,
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filename="example-docs/stanley-cups.csv",
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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.csv.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 = partition_csv(file=f)
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assert clean_extra_whitespace(elements[0].text) == EXPECTED_TEXT
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assert isinstance(elements[0], Table)
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assert elements[0].metadata.last_modified == mocked_last_modification_date
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def test_partition_csv_from_file_custom_metadata_date(
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mocker,
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filename="example-docs/stanley-cups.csv",
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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 = "2020-07-05T09:24:28"
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mocker.patch(
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"unstructured.partition.csv.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 = partition_csv(file=f, metadata_last_modified=expected_last_modification_date)
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assert clean_extra_whitespace(elements[0].text) == EXPECTED_TEXT
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assert isinstance(elements[0], Table)
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assert elements[0].metadata.last_modified == expected_last_modification_date
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def test_partition_csv_from_file_without_metadata(
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mocker,
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filename="example-docs/stanley-cups.csv",
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):
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"""Test partition_csv() 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 = SpooledTemporaryFile()
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sf.write(f.read())
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sf.seek(0)
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elements = partition_csv(file=sf)
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assert clean_extra_whitespace(elements[0].text) == EXPECTED_TEXT
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assert isinstance(elements[0], Table)
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assert elements[0].metadata.last_modified is None
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@pytest.mark.parametrize(
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("filename", "expected_text", "expected_table"),
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[
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("stanley-cups.csv", EXPECTED_TEXT, EXPECTED_TABLE),
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("stanley-cups-with-emoji.csv", EXPECTED_TEXT_WITH_EMOJI, EXPECTED_TABLE_WITH_EMOJI),
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],
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)
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def test_partition_csv_with_json(filename, expected_text, expected_table):
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f_path = f"example-docs/{filename}"
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elements = partition_csv(filename=f_path)
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test_elements = partition_json(text=elements_to_json(elements))
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assert len(elements) == len(test_elements)
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assert clean_extra_whitespace(elements[0].text) == clean_extra_whitespace(test_elements[0].text)
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assert elements[0].metadata.text_as_html == test_elements[0].metadata.text_as_html
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assert elements[0].metadata.filename == test_elements[0].metadata.filename
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for i in range(len(elements)):
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assert elements[i] == test_elements[i]
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def test_add_chunking_strategy_to_partition_csv_non_default():
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filename = "example-docs/stanley-cups.csv"
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elements = partition_csv(filename=filename)
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chunk_elements = partition_csv(
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filename,
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chunking_strategy="by_title",
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max_characters=9,
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combine_text_under_n_chars=0,
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)
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chunks = chunk_by_title(elements, max_characters=9, combine_text_under_n_chars=0)
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assert chunk_elements != elements
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assert chunk_elements == chunks
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