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csv-metadata-quality/tests/test_fix.py

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