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csv-metadata-quality/tests/test_check.py

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import pandas as pd
import csv_metadata_quality.check as check
import csv_metadata_quality.experimental as experimental
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def test_check_invalid_issn(capsys):
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"""Test checking invalid ISSN."""
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value = "2321-2302"
check.issn(value)
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captured = capsys.readouterr()
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assert captured.out == f"Invalid ISSN: {value}\n"
def test_check_valid_issn():
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"""Test checking valid ISSN."""
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value = "0024-9319"
result = check.issn(value)
assert result == value
def test_check_invalid_isbn(capsys):
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"""Test checking invalid ISBN."""
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value = "99921-58-10-6"
check.isbn(value)
captured = capsys.readouterr()
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assert captured.out == f"Invalid ISBN: {value}\n"
def test_check_valid_isbn():
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"""Test checking valid ISBN."""
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value = "99921-58-10-7"
result = check.isbn(value)
assert result == value
def test_check_invalid_separators(capsys):
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"""Test checking invalid multi-value separators."""
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value = "Alan|Orth"
field_name = "dc.contributor.author"
check.separators(value, field_name)
captured = capsys.readouterr()
assert captured.out == f"Invalid multi-value separator ({field_name}): {value}\n"
def test_check_valid_separators():
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"""Test checking valid multi-value separators."""
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value = "Alan||Orth"
field_name = "dc.contributor.author"
result = check.separators(value, field_name)
assert result == value
def test_check_missing_date(capsys):
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"""Test checking missing date."""
value = None
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field_name = "dc.date.issued"
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check.date(value, field_name)
captured = capsys.readouterr()
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assert captured.out == f"Missing date ({field_name}).\n"
def test_check_multiple_dates(capsys):
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"""Test checking multiple dates."""
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value = "1990||1991"
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field_name = "dc.date.issued"
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check.date(value, field_name)
captured = capsys.readouterr()
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assert captured.out == f"Multiple dates not allowed ({field_name}): {value}\n"
def test_check_invalid_date(capsys):
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"""Test checking invalid ISO8601 date."""
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value = "1990-0"
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field_name = "dc.date.issued"
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check.date(value, field_name)
captured = capsys.readouterr()
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assert captured.out == f"Invalid date ({field_name}): {value}\n"
def test_check_valid_date():
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"""Test checking valid ISO8601 date."""
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value = "1990"
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field_name = "dc.date.issued"
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result = check.date(value, field_name)
assert result == value
def test_check_suspicious_characters(capsys):
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"""Test checking for suspicious characters."""
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value = "foreˆt"
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field_name = "dc.contributor.author"
check.suspicious_characters(value, field_name)
captured = capsys.readouterr()
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assert captured.out == f"Suspicious character ({field_name}): ˆt\n"
def test_check_valid_iso639_1_language():
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"""Test valid ISO 639-1 (alpha 2) language."""
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value = "ja"
result = check.language(value)
assert result == value
def test_check_valid_iso639_3_language():
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"""Test valid ISO 639-3 (alpha 3) language."""
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value = "eng"
result = check.language(value)
assert result == value
def test_check_invalid_iso639_1_language(capsys):
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"""Test invalid ISO 639-1 (alpha 2) language."""
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value = "jp"
check.language(value)
captured = capsys.readouterr()
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assert captured.out == f"Invalid ISO 639-1 language: {value}\n"
def test_check_invalid_iso639_3_language(capsys):
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"""Test invalid ISO 639-3 (alpha 3) language."""
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value = "chi"
check.language(value)
captured = capsys.readouterr()
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assert captured.out == f"Invalid ISO 639-3 language: {value}\n"
def test_check_invalid_language(capsys):
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"""Test invalid language."""
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value = "Span"
check.language(value)
captured = capsys.readouterr()
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assert captured.out == f"Invalid language: {value}\n"
def test_check_invalid_agrovoc(capsys):
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"""Test invalid AGROVOC subject."""
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value = "FOREST"
field_name = "dc.subject"
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check.agrovoc(value, field_name)
captured = capsys.readouterr()
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assert captured.out == f"Invalid AGROVOC ({field_name}): {value}\n"
def test_check_valid_agrovoc():
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"""Test valid AGROVOC subject."""
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value = "FORESTS"
field_name = "dc.subject"
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result = check.agrovoc(value, field_name)
assert result == value
def test_check_uncommon_filename_extension(capsys):
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"""Test uncommon filename extension."""
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value = "file.pdf.lck"
check.filename_extension(value)
captured = capsys.readouterr()
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assert captured.out == f"Filename with uncommon extension: {value}\n"
def test_check_common_filename_extension():
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"""Test common filename extension."""
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value = "file.pdf"
result = check.filename_extension(value)
assert result == value
def test_check_incorrect_iso_639_1_language(capsys):
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"""Test incorrect ISO 639-1 language, as determined by comparing the item's language field with the actual language predicted in the item's title."""
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title = "A randomised vaccine field trial in Kenya demonstrates protection against wildebeest-associated malignant catarrhal fever in cattle"
language = "es"
# Create a dictionary to mimic Pandas series
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row = {"dc.title": title, "dc.language.iso": language}
series = pd.Series(row)
experimental.correct_language(series)
captured = capsys.readouterr()
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assert (
captured.out
== f"Possibly incorrect language {language} (detected en): {title}\n"
)
def test_check_incorrect_iso_639_3_language(capsys):
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"""Test incorrect ISO 639-3 language, as determined by comparing the item's language field with the actual language predicted in the item's title."""
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title = "A randomised vaccine field trial in Kenya demonstrates protection against wildebeest-associated malignant catarrhal fever in cattle"
language = "spa"
# Create a dictionary to mimic Pandas series
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row = {"dc.title": title, "dc.language.iso": language}
series = pd.Series(row)
experimental.correct_language(series)
captured = capsys.readouterr()
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assert (
captured.out
== f"Possibly incorrect language {language} (detected eng): {title}\n"
)
def test_check_correct_iso_639_1_language():
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"""Test correct ISO 639-1 language, as determined by comparing the item's language field with the actual language predicted in the item's title."""
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title = "A randomised vaccine field trial in Kenya demonstrates protection against wildebeest-associated malignant catarrhal fever in cattle"
language = "en"
# Create a dictionary to mimic Pandas series
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row = {"dc.title": title, "dc.language.iso": language}
series = pd.Series(row)
result = experimental.correct_language(series)
assert result == language
def test_check_correct_iso_639_3_language():
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"""Test correct ISO 639-3 language, as determined by comparing the item's language field with the actual language predicted in the item's title."""
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title = "A randomised vaccine field trial in Kenya demonstrates protection against wildebeest-associated malignant catarrhal fever in cattle"
language = "eng"
# Create a dictionary to mimic Pandas series
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row = {"dc.title": title, "dc.language.iso": language}
series = pd.Series(row)
result = experimental.correct_language(series)
assert result == language