mirror of
https://github.com/ilri/csv-metadata-quality.git
synced 2024-11-16 02:57:04 +01:00
Alan Orth
3c798fb504
The latter is a fork that hasn't been updated since 2016 and the original still seems to be well maintained, with recent database updates as well as tests for Python 3.7. Also, pycountry supports ISO 3166-2 (administrative zones), which we could eventually use for sub regions.
241 lines
6.0 KiB
Python
Executable File
241 lines
6.0 KiB
Python
Executable File
import pandas as pd
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def issn(field):
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"""Check if an ISSN is valid.
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Prints the ISSN if invalid.
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stdnum's is_valid() function never raises an exception.
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See: https://arthurdejong.org/python-stdnum/doc/1.11/index.html#stdnum.module.is_valid
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"""
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from stdnum import issn
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# Skip fields with missing values
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if pd.isna(field):
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return
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# Try to split multi-value field on "||" separator
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for value in field.split('||'):
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if not issn.is_valid(value):
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print(f'Invalid ISSN: {value}')
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return field
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def isbn(field):
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"""Check if an ISBN is valid.
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Prints the ISBN if invalid.
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stdnum's is_valid() function never raises an exception.
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See: https://arthurdejong.org/python-stdnum/doc/1.11/index.html#stdnum.module.is_valid
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"""
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from stdnum import isbn
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# Skip fields with missing values
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if pd.isna(field):
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return
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# Try to split multi-value field on "||" separator
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for value in field.split('||'):
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if not isbn.is_valid(value):
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print(f'Invalid ISBN: {value}')
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return field
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def separators(field):
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"""Check for invalid multi-value separators (ie "|" or "|||").
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Prints the field with the invalid multi-value separator.
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"""
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import re
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# Skip fields with missing values
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if pd.isna(field):
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return
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# Try to split multi-value field on "||" separator
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for value in field.split('||'):
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# After splitting, see if there are any remaining "|" characters
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match = re.findall(r'^.*?\|.*$', value)
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if match:
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print(f'Invalid multi-value separator: {field}')
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return field
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def date(field):
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"""Check if a date is valid.
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In DSpace the issue date is usually 1990, 1990-01, or 1990-01-01, but it
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could technically even include time as long as it is ISO8601.
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Also checks for other invalid cases like missing and multiple dates.
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Prints the date if invalid.
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"""
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from datetime import datetime
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if pd.isna(field):
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print(f'Missing date.')
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return
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# Try to split multi-value field on "||" separator
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multiple_dates = field.split('||')
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# We don't allow multi-value date fields
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if len(multiple_dates) > 1:
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print(f'Multiple dates not allowed: {field}')
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return field
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try:
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# Check if date is valid YYYY format
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datetime.strptime(field, '%Y')
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return field
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except ValueError:
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pass
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try:
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# Check if date is valid YYYY-MM format
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datetime.strptime(field, '%Y-%m')
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return field
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except ValueError:
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pass
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try:
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# Check if date is valid YYYY-MM-DD format
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datetime.strptime(field, '%Y-%m-%d')
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return field
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except ValueError:
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print(f'Invalid date: {field}')
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return field
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def suspicious_characters(field):
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"""Warn about suspicious characters.
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Look for standalone characters that could indicate encoding or copy/paste
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errors for languages with accents. For example: foreˆt should be forêt.
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"""
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# Skip fields with missing values
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if pd.isna(field):
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return
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# List of suspicious characters, for example: ́ˆ~`
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suspicious_characters = ['\u00B4', '\u02C6', '\u007E', '\u0060']
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for character in suspicious_characters:
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character_set = set(character)
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if character_set.issubset(field):
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print(f'Suspicious character: {field}')
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return field
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def language(field):
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"""Check if a language is valid ISO 639-2 or ISO 639-3.
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Prints the value if it is invalid.
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"""
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from pycountry import languages
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# Skip fields with missing values
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if pd.isna(field):
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return
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# need to handle "Other" values here...
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# Try to split multi-value field on "||" separator
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for value in field.split('||'):
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# After splitting, check if language value is 2 or 3 characters so we
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# can check it against ISO 639-2 or ISO 639-3 accordingly.
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if len(value) == 2:
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if not languages.get(alpha_2=value):
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print(f'Invalid ISO 639-2 language: {value}')
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pass
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elif len(value) == 3:
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if not languages.get(alpha_3=value):
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print(f'Invalid ISO 639-3 language: {value}')
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pass
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else:
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print(f'Invalid language: {value}')
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return field
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def agrovoc(field):
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"""Check subject terms against AGROVOC REST API.
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Logic copied from agrovoc-lookup.py.
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See: https://github.com/ilri/DSpace/blob/5_x-prod/agrovoc-lookup.py
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Prints a warning if the value is invalid.
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"""
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from datetime import timedelta
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import re
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import requests
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import requests_cache
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# Skip fields with missing values
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if pd.isna(field):
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return
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# Try to split multi-value field on "||" separator
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for value in field.split('||'):
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# match lines beginning with words, paying attention to subjects with
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# special characters like spaces, quotes, dashes, parentheses, etc:
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# SUBJECT
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# ANOTHER SUBJECT
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# XANTHOMONAS CAMPESTRIS PV. MANIHOTIS
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# WOMEN'S PARTICIPATION
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# COMMUNITY-BASED FOREST MANAGEMENT
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# INTERACCIÓN GENOTIPO AMBIENTE
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# COCOA (PLANT)
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pattern = re.compile(r'^[\w\-\.\'\(\)]+?[\w\s\-\.\'\(\)]+$')
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if pattern.match(value):
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request_url = f'http://agrovoc.uniroma2.it/agrovoc/rest/v1/agrovoc/search?query={value}'
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# enable transparent request cache with thirty days expiry
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expire_after = timedelta(days=30)
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requests_cache.install_cache('agrovoc-response-cache', expire_after=expire_after)
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request = requests.get(request_url)
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# prune old cache entries
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requests_cache.core.remove_expired_responses()
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if request.status_code == requests.codes.ok:
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data = request.json()
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# check if there are any results
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if len(data['results']) == 0:
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print(f'Invalid AGROVOC subject: {value}')
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return field
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