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21c821d651
* add csv into filetype detection * first pass on csv * add tests for csv * add csv to auto * version bump * update readme and docs * fix doc strings
61 lines
1.8 KiB
Python
61 lines
1.8 KiB
Python
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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EXPECTED_TABLE = """<table border="1" class="dataframe">
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<tbody>
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<tr>
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<td>Team</td>
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<td>Location</td>
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<td>Stanley Cups</td>
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</tr>
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<tr>
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<td>Blues</td>
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<td>STL</td>
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<td>1</td>
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</tr>
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<tr>
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<td>Flyers</td>
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<td>PHI</td>
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<td>2</td>
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</tr>
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<tr>
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<td>Maple Leafs</td>
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<td>TOR</td>
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<td>13</td>
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</tr>
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</tbody>
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</table>"""
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EXPECTED_TEXT = "Team Location Stanley Cups Blues STL 1 Flyers PHI 2 Maple Leafs TOR 13"
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EXPECTED_FILETYPE = "text/csv"
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def test_partition_csv_from_filename(filename="example-docs/stanley-cups.csv"):
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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 elements[0].metadata.text_as_html == EXPECTED_TABLE
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assert elements[0].metadata.filetype == EXPECTED_FILETYPE
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def test_partition_csv_from_file(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)
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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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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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