mirror of
https://github.com/ilri/csv-metadata-quality.git
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154 lines
3.5 KiB
Python
154 lines
3.5 KiB
Python
# SPDX-License-Identifier: GPL-3.0-only
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import pandas as pd
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import csv_metadata_quality.fix as fix
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def test_fix_leading_whitespace():
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"""Test fixing leading whitespace."""
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value = " Alan"
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field_name = "dc.contributor.author"
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assert fix.whitespace(value, field_name) == "Alan"
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def test_fix_trailing_whitespace():
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"""Test fixing trailing whitespace."""
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value = "Alan "
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field_name = "dc.contributor.author"
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assert fix.whitespace(value, field_name) == "Alan"
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def test_fix_excessive_whitespace():
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"""Test fixing excessive whitespace."""
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value = "Alan Orth"
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field_name = "dc.contributor.author"
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assert fix.whitespace(value, field_name) == "Alan Orth"
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def test_fix_invalid_separators():
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"""Test fixing invalid multi-value separators."""
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value = "Alan|Orth"
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field_name = "dc.contributor.author"
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assert fix.separators(value, field_name) == "Alan||Orth"
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def test_fix_unnecessary_separators():
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"""Test fixing unnecessary multi-value separators."""
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field = "Alan||Orth||"
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field_name = "dc.contributor.author"
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assert fix.separators(field, field_name) == "Alan||Orth"
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def test_fix_unnecessary_unicode():
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"""Test fixing unnecessary Unicode."""
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value = "Alan Orth"
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assert fix.unnecessary_unicode(value) == "Alan Orth"
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def test_fix_duplicates():
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"""Test fixing duplicate metadata values."""
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value = "Kenya||Kenya"
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field_name = "dc.contributor.author"
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assert fix.duplicates(value, field_name) == "Kenya"
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def test_fix_newlines():
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"""Test fixing newlines."""
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value = """Ken
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ya"""
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field_name = "dcterms.subject"
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assert fix.newlines(value, field_name) == "Kenya"
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def test_fix_comma_space():
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"""Test adding space after comma."""
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value = "Orth,Alan S."
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field_name = "dc.contributor.author"
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assert fix.comma_space(value, field_name) == "Orth, Alan S."
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def test_fix_normalized_unicode():
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"""Test fixing a string that is already in its normalized (NFC) Unicode form."""
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# string using the normalized canonical form of é
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value = "Ouédraogo, Mathieu"
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field_name = "dc.contributor.author"
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assert fix.normalize_unicode(value, field_name) == "Ouédraogo, Mathieu"
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def test_fix_decomposed_unicode():
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"""Test fixing a string that contains Unicode string."""
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# string using the decomposed form of é
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value = "Ouédraogo, Mathieu"
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field_name = "dc.contributor.author"
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assert fix.normalize_unicode(value, field_name) == "Ouédraogo, Mathieu"
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def test_fix_mojibake():
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"""Test string with no mojibake."""
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field = "CIAT Publicaçao"
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field_name = "dcterms.isPartOf"
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assert fix.mojibake(field, field_name) == "CIAT Publicaçao"
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def test_fix_country_not_matching_region():
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"""Test an item with regions not matching its country list."""
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title = "Testing an item with no matching region."
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country = "Kenya"
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region = ""
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missing_region = "Eastern Africa"
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# Emulate a column in a transposed dataframe (which is just a series)
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d = {
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"dc.title": title,
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"cg.coverage.country": country,
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"cg.coverage.region": region,
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}
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series = pd.Series(data=d)
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result = fix.countries_match_regions(series)
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# Emulate the correct series we are expecting
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d_correct = {
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"dc.title": title,
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"cg.coverage.country": country,
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"cg.coverage.region": missing_region,
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}
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series_correct = pd.Series(data=d_correct)
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pd.testing.assert_series_equal(result, series_correct)
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