import pandas as pd def issn(field): """Check if an ISSN is valid. Prints the ISSN if invalid. stdnum's is_valid() function never raises an exception. See: https://arthurdejong.org/python-stdnum/doc/1.11/index.html#stdnum.module.is_valid """ from stdnum import issn # Skip fields with missing values if pd.isna(field): return # Try to split multi-value field on "||" separator for value in field.split('||'): if not issn.is_valid(value): print(f'Invalid ISSN: {value}') return field def isbn(field): """Check if an ISBN is valid. Prints the ISBN if invalid. stdnum's is_valid() function never raises an exception. See: https://arthurdejong.org/python-stdnum/doc/1.11/index.html#stdnum.module.is_valid """ from stdnum import isbn # Skip fields with missing values if pd.isna(field): return # Try to split multi-value field on "||" separator for value in field.split('||'): if not isbn.is_valid(value): print(f'Invalid ISBN: {value}') return field def separators(field): """Check for invalid multi-value separators (ie "|" or "|||"). Prints the field with the invalid multi-value separator. """ import re # Skip fields with missing values if pd.isna(field): return # Try to split multi-value field on "||" separator for value in field.split('||'): # After splitting, see if there are any remaining "|" characters match = re.findall(r'^.*?\|.*$', value) if match: print(f'Invalid multi-value separator: {field}') return field def date(field): """Check if a date is valid. In DSpace the issue date is usually 1990, 1990-01, or 1990-01-01, but it could technically even include time as long as it is ISO8601. Also checks for other invalid cases like missing and multiple dates. Prints the date if invalid. """ from datetime import datetime if pd.isna(field): print(f'Missing date.') return # Try to split multi-value field on "||" separator multiple_dates = field.split('||') # We don't allow multi-value date fields if len(multiple_dates) > 1: print(f'Multiple dates not allowed: {field}') return field try: # Check if date is valid YYYY format datetime.strptime(field, '%Y') return field except ValueError: pass try: # Check if date is valid YYYY-MM format datetime.strptime(field, '%Y-%m') return field except ValueError: pass try: # Check if date is valid YYYY-MM-DD format datetime.strptime(field, '%Y-%m-%d') return field except ValueError: print(f'Invalid date: {field}') return field def suspicious_characters(field): """Warn about suspicious characters. Look for standalone characters that could indicate encoding or copy/paste errors for languages with accents. For example: foreˆt should be forêt. """ # Skip fields with missing values if pd.isna(field): return # List of suspicious characters, for example: ́ˆ~` suspicious_characters = ['\u00B4', '\u02C6', '\u007E', '\u0060'] for character in suspicious_characters: character_set = set(character) if character_set.issubset(field): print(f'Suspicious character: {field}') return field