import pandas as pd import csv_metadata_quality.check as check import csv_metadata_quality.experimental as experimental def test_check_invalid_issn(capsys): """Test checking invalid ISSN.""" value = "2321-2302" check.issn(value) captured = capsys.readouterr() assert captured.out == f"Invalid ISSN: {value}\n" def test_check_valid_issn(): """Test checking valid ISSN.""" value = "0024-9319" result = check.issn(value) assert result == value def test_check_invalid_isbn(capsys): """Test checking invalid ISBN.""" value = "99921-58-10-6" check.isbn(value) captured = capsys.readouterr() assert captured.out == f"Invalid ISBN: {value}\n" def test_check_valid_isbn(): """Test checking valid ISBN.""" value = "99921-58-10-7" result = check.isbn(value) assert result == value def test_check_invalid_separators(capsys): """Test checking invalid multi-value separators.""" value = "Alan|Orth" check.separators(value) captured = capsys.readouterr() assert captured.out == f"Invalid multi-value separator: {value}\n" def test_check_valid_separators(): """Test checking valid multi-value separators.""" value = "Alan||Orth" result = check.separators(value) assert result == value def test_check_missing_date(capsys): """Test checking missing date.""" value = None field_name = "dc.date.issued" check.date(value, field_name) captured = capsys.readouterr() assert captured.out == f"Missing date ({field_name}).\n" def test_check_multiple_dates(capsys): """Test checking multiple dates.""" value = "1990||1991" field_name = "dc.date.issued" check.date(value, field_name) captured = capsys.readouterr() assert captured.out == f"Multiple dates not allowed ({field_name}): {value}\n" def test_check_invalid_date(capsys): """Test checking invalid ISO8601 date.""" value = "1990-0" field_name = "dc.date.issued" check.date(value, field_name) captured = capsys.readouterr() assert captured.out == f"Invalid date ({field_name}): {value}\n" def test_check_valid_date(): """Test checking valid ISO8601 date.""" value = "1990" field_name = "dc.date.issued" result = check.date(value, field_name) assert result == value def test_check_suspicious_characters(capsys): """Test checking for suspicious characters.""" value = "foreˆt" field_name = "dc.contributor.author" check.suspicious_characters(value, field_name) captured = capsys.readouterr() assert captured.out == f"Suspicious character ({field_name}): ˆt\n" def test_check_valid_iso639_1_language(): """Test valid ISO 639-1 (alpha 2) language.""" value = "ja" result = check.language(value) assert result == value def test_check_valid_iso639_3_language(): """Test valid ISO 639-3 (alpha 3) language.""" value = "eng" result = check.language(value) assert result == value def test_check_invalid_iso639_1_language(capsys): """Test invalid ISO 639-1 (alpha 2) language.""" value = "jp" check.language(value) captured = capsys.readouterr() assert captured.out == f"Invalid ISO 639-1 language: {value}\n" def test_check_invalid_iso639_3_language(capsys): """Test invalid ISO 639-3 (alpha 3) language.""" value = "chi" check.language(value) captured = capsys.readouterr() assert captured.out == f"Invalid ISO 639-3 language: {value}\n" def test_check_invalid_language(capsys): """Test invalid language.""" value = "Span" check.language(value) captured = capsys.readouterr() assert captured.out == f"Invalid language: {value}\n" def test_check_invalid_agrovoc(capsys): """Test invalid AGROVOC subject.""" value = "FOREST" field_name = "dc.subject" check.agrovoc(value, field_name) captured = capsys.readouterr() assert captured.out == f"Invalid AGROVOC ({field_name}): {value}\n" def test_check_valid_agrovoc(): """Test valid AGROVOC subject.""" value = "FORESTS" field_name = "dc.subject" result = check.agrovoc(value, field_name) assert result == value def test_check_uncommon_filename_extension(capsys): """Test uncommon filename extension.""" value = "file.pdf.lck" check.filename_extension(value) captured = capsys.readouterr() assert captured.out == f"Filename with uncommon extension: {value}\n" def test_check_common_filename_extension(): """Test common filename extension.""" value = "file.pdf" result = check.filename_extension(value) assert result == value def test_check_incorrect_iso_639_1_language(capsys): """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.""" 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 row = {"dc.title": title, "dc.language.iso": language} series = pd.Series(row) experimental.correct_language(series) captured = capsys.readouterr() assert ( captured.out == f"Possibly incorrect language {language} (detected en): {title}\n" ) def test_check_incorrect_iso_639_3_language(capsys): """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.""" 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 row = {"dc.title": title, "dc.language.iso": language} series = pd.Series(row) experimental.correct_language(series) captured = capsys.readouterr() assert ( captured.out == f"Possibly incorrect language {language} (detected eng): {title}\n" ) def test_check_correct_iso_639_1_language(): """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.""" 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 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(): """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.""" 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 row = {"dc.title": title, "dc.language.iso": language} series = pd.Series(row) result = experimental.correct_language(series) assert result == language