mirror of
https://github.com/ilri/csv-metadata-quality.git
synced 2024-11-22 22:05:03 +01:00
Alan Orth
d9fc09f121
It turns out that ISO 639-1 is the two-letter codes, and ISO 639-2 is the three-letter codes, aka alpha2 and alpha3. See: https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes
302 lines
8.0 KiB
Python
Executable File
302 lines
8.0 KiB
Python
Executable File
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, field_name):
|
||
"""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 ({field_name}).")
|
||
|
||
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_name}): {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_name}): {field}")
|
||
|
||
return field
|
||
|
||
|
||
def suspicious_characters(field, field_name):
|
||
"""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:
|
||
# Find the position of the suspicious character in the string
|
||
suspicious_character_position = field.find(character)
|
||
|
||
# Python returns -1 if there is no match
|
||
if suspicious_character_position != -1:
|
||
# Create a temporary new string starting from the position of the
|
||
# suspicious character
|
||
field_subset = field[suspicious_character_position:]
|
||
|
||
# Print part of the metadata value starting from the suspicious
|
||
# character and spanning enough of the rest to give a preview,
|
||
# but not too much to cause the line to break in terminals with
|
||
# a default of 80 characters width.
|
||
suspicious_character_msg = (
|
||
f"Suspicious character ({field_name}): {field_subset}"
|
||
)
|
||
print(f"{suspicious_character_msg:1.80}")
|
||
|
||
return field
|
||
|
||
|
||
def language(field):
|
||
"""Check if a language is valid ISO 639-1 or ISO 639-2.
|
||
|
||
Prints the value if it is invalid.
|
||
"""
|
||
|
||
from pycountry import languages
|
||
|
||
# Skip fields with missing values
|
||
if pd.isna(field):
|
||
return
|
||
|
||
# need to handle "Other" values here...
|
||
|
||
# Try to split multi-value field on "||" separator
|
||
for value in field.split("||"):
|
||
|
||
# After splitting, check if language value is 2 or 3 characters so we
|
||
# can check it against ISO 639-1 or ISO 639-2 accordingly.
|
||
if len(value) == 2:
|
||
if not languages.get(alpha_2=value):
|
||
print(f"Invalid ISO 639-1 language: {value}")
|
||
|
||
pass
|
||
elif len(value) == 3:
|
||
if not languages.get(alpha_3=value):
|
||
print(f"Invalid ISO 639-2 language: {value}")
|
||
|
||
pass
|
||
else:
|
||
print(f"Invalid language: {value}")
|
||
|
||
return field
|
||
|
||
|
||
def agrovoc(field, field_name):
|
||
"""Check subject terms against AGROVOC REST API.
|
||
|
||
Function constructor expects the field as well as the field name because
|
||
many fields can now be validated against AGROVOC and we want to be able
|
||
to inform the user in which field the invalid term is.
|
||
|
||
Logic copied from agrovoc-lookup.py.
|
||
|
||
See: https://github.com/ilri/DSpace/blob/5_x-prod/agrovoc-lookup.py
|
||
|
||
Prints a warning if the value is invalid.
|
||
"""
|
||
|
||
from datetime import timedelta
|
||
import requests
|
||
import requests_cache
|
||
|
||
# Skip fields with missing values
|
||
if pd.isna(field):
|
||
return
|
||
|
||
# Try to split multi-value field on "||" separator
|
||
for value in field.split("||"):
|
||
request_url = (
|
||
f"http://agrovoc.uniroma2.it/agrovoc/rest/v1/agrovoc/search?query={value}"
|
||
)
|
||
|
||
# enable transparent request cache with thirty days expiry
|
||
expire_after = timedelta(days=30)
|
||
requests_cache.install_cache(
|
||
"agrovoc-response-cache", expire_after=expire_after
|
||
)
|
||
|
||
request = requests.get(request_url)
|
||
|
||
# prune old cache entries
|
||
requests_cache.core.remove_expired_responses()
|
||
|
||
if request.status_code == requests.codes.ok:
|
||
data = request.json()
|
||
|
||
# check if there are any results
|
||
if len(data["results"]) == 0:
|
||
print(f"Invalid AGROVOC ({field_name}): {value}")
|
||
|
||
return field
|
||
|
||
|
||
def filename_extension(field):
|
||
"""Check filename extension.
|
||
|
||
CSVs with a 'filename' column are likely meant as input for the SAFBuilder
|
||
tool, which creates a Simple Archive Format bundle for importing metadata
|
||
with accompanying PDFs or other files into DSpace.
|
||
|
||
This check warns if a filename has an uncommon extension (that is, other
|
||
than .pdf, .xls(x), .doc(x), ppt(x), case insensitive).
|
||
"""
|
||
|
||
import re
|
||
|
||
# Skip fields with missing values
|
||
if pd.isna(field):
|
||
return
|
||
|
||
# Try to split multi-value field on "||" separator
|
||
values = field.split("||")
|
||
|
||
# List of common filename extentions
|
||
common_filename_extensions = [
|
||
".pdf",
|
||
".doc",
|
||
".docx",
|
||
".ppt",
|
||
".pptx",
|
||
".xls",
|
||
".xlsx",
|
||
]
|
||
|
||
# Iterate over all values
|
||
for value in values:
|
||
# Assume filename extension does not match
|
||
filename_extension_match = False
|
||
|
||
for filename_extension in common_filename_extensions:
|
||
# Check for extension at the end of the filename
|
||
pattern = re.escape(filename_extension) + r"$"
|
||
match = re.search(pattern, value, re.IGNORECASE)
|
||
|
||
if match is not None:
|
||
# Register the match and stop checking for this filename
|
||
filename_extension_match = True
|
||
|
||
break
|
||
|
||
if filename_extension_match is False:
|
||
print(f"Filename with uncommon extension: {value}")
|
||
|
||
return field
|