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csv_metadata_quality/check.py: Move all imports to top of file

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PEP8 recommends keeping imports at the top of the file. Also, I had
to re-work the issn/isbn so they didn't conflict with the functions
in check.py (flake8 warned about them being redefined).

Imports sorted with isort.

See: https://www.python.org/dev/peps/pep-0008/#imports
This commit is contained in:
Alan Orth 2021-03-11 10:52:20 +02:00
parent e0e3ca6c58
commit d88ea56488
Signed by: alanorth
GPG Key ID: 0FB860CC9C45B1B9
1 changed files with 5 additions and 10 deletions
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15
csv_metadata_quality/check.py
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@ -1,3 +1,4 @@
import re
from datetime import datetime, timedelta
import pandas as pd
@ -6,6 +7,8 @@ import requests_cache
import spdx_license_list
from colorama import Fore
from pycountry import languages
from stdnum import isbn as stdnum_isbn
from stdnum import issn as stdnum_issn
def issn(field):
@ -18,8 +21,6 @@ def issn(field):
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
@ -27,7 +28,7 @@ def issn(field):
# Try to split multi-value field on "||" separator
for value in field.split("||"):
if not issn.is_valid(value):
if not stdnum_issn.is_valid(value):
print(f"{Fore.RED}Invalid ISSN: {Fore.RESET}{value}")
return field
@ -43,8 +44,6 @@ def isbn(field):
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
@ -52,7 +51,7 @@ def isbn(field):
# Try to split multi-value field on "||" separator
for value in field.split("||"):
if not isbn.is_valid(value):
if not stdnum_isbn.is_valid(value):
print(f"{Fore.RED}Invalid ISBN: {Fore.RESET}{value}")
return field
@ -68,8 +67,6 @@ def separators(field, field_name):
Prints the field with the invalid multi-value separator.
"""
import re
# Skip fields with missing values
if pd.isna(field):
return
@ -278,8 +275,6 @@ def filename_extension(field):
than .pdf, .xls(x), .doc(x), ppt(x), case insensitive).
"""
import re
# Skip fields with missing values
if pd.isna(field):
return