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v0.4.5
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12
CHANGELOG.md
12
CHANGELOG.md
@ -4,10 +4,20 @@ All notable changes to this project will be documented in this file.
|
||||
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
|
||||
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## Unreleased
|
||||
## [0.4.5] - 2021-03-04
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### Added
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- Check dates in dcterms.issued field as well, not just fields that have the
|
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word "date" in them
|
||||
|
||||
### Updated
|
||||
- Run `poetry update` to update project dependencies
|
||||
|
||||
## [0.4.4] - 2021-02-21
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### Added
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||||
- Accept dates formatted in ISO 8601 extended with combined date and time, for
|
||||
example: 2020-08-31T11:04:56Z
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- Colorized output: red for errors, yellow for warnings and information, green
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for changes
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||||
|
||||
### Updated
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||||
- Run `poetry update` to update project dependencies
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||||
|
@ -109,8 +109,13 @@ This currently uses the [Python langid](https://github.com/saffsd/langid.py) lib
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||||
- Add an option to drop invalid AGROVOC subjects?
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||||
- Add tests for application invocation, ie `tests/test_app.py`?
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||||
- Validate ISSNs or journal titles against CrossRef API?
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- Better ISO 8601 date parsing (currently only supports simple dates, perhaps we need to use dateutil.parser.parseiso())
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- Fix lazy date check (assumes field name has "date" but could be dcterms.issued etc!)
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- Add configurable field validation, like specify a field name and a validation file?
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- Perhaps like --validate=field.name,filename
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- Add some row-based item sanity checks and fixes:
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||||
- Warn if item is Open Access, but missing a filename or URL
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||||
- Warn if item is Open Access, but missing a license
|
||||
- Warn if item has an ISSN but no journal title
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||||
- Update journal titles from ISSN
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||||
|
||||
## License
|
||||
This work is licensed under the [GPLv3](https://www.gnu.org/licenses/gpl-3.0.en.html).
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||||
|
@ -4,6 +4,7 @@ import signal
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import sys
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||||
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import pandas as pd
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from colorama import Fore
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import csv_metadata_quality.check as check
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import csv_metadata_quality.experimental as experimental
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@ -77,7 +78,7 @@ def run(argv):
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if column == exclude and skip is False:
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skip = True
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if skip:
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print(f"Skipping {column}")
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print(f"{Fore.YELLOW}Skipping {Fore.RESET}{column}")
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continue
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@ -141,7 +142,7 @@ def run(argv):
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df[column] = df[column].apply(check.isbn)
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# Check: invalid date
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match = re.match(r"^.*?date.*$", column)
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match = re.match(r"^.*?(date|dcterms\.issued).*$", column)
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if match is not None:
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df[column] = df[column].apply(check.date, field_name=column)
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|
@ -3,6 +3,7 @@ from datetime import datetime, timedelta
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import pandas as pd
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import requests
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import requests_cache
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from colorama import Fore
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from pycountry import languages
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||||
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||||
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@ -26,7 +27,7 @@ def issn(field):
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for value in field.split("||"):
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|
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if not issn.is_valid(value):
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print(f"Invalid ISSN: {value}")
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print(f"{Fore.RED}Invalid ISSN: {Fore.RESET}{value}")
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return field
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@ -51,7 +52,7 @@ def isbn(field):
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for value in field.split("||"):
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|
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if not isbn.is_valid(value):
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print(f"Invalid ISBN: {value}")
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print(f"{Fore.RED}Invalid ISBN: {Fore.RESET}{value}")
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||||
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||||
return field
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||||
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@ -76,7 +77,9 @@ def separators(field, field_name):
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for value in field.split("||"):
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# Check if the current value is blank
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||||
if value == "":
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print(f"Unnecessary multi-value separator ({field_name}): {field}")
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||||
print(
|
||||
f"{Fore.RED}Unnecessary multi-value separator ({field_name}): {Fore.RESET}{field}"
|
||||
)
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||||
|
||||
continue
|
||||
|
||||
@ -85,7 +88,9 @@ def separators(field, field_name):
|
||||
|
||||
# Check if there was a match
|
||||
if match:
|
||||
print(f"Invalid multi-value separator ({field_name}): {field}")
|
||||
print(
|
||||
f"{Fore.RED}Invalid multi-value separator ({field_name}): {Fore.RESET}{field}"
|
||||
)
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||||
|
||||
return field
|
||||
|
||||
@ -102,7 +107,7 @@ def date(field, field_name):
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"""
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||||
|
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if pd.isna(field):
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print(f"Missing date ({field_name}).")
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print(f"{Fore.RED}Missing date ({field_name}).{Fore.RESET}")
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||||
|
||||
return
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||||
|
||||
@ -111,7 +116,9 @@ def date(field, field_name):
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|
||||
# We don't allow multi-value date fields
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if len(multiple_dates) > 1:
|
||||
print(f"Multiple dates not allowed ({field_name}): {field}")
|
||||
print(
|
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f"{Fore.RED}Multiple dates not allowed ({field_name}): {Fore.RESET}{field}"
|
||||
)
|
||||
|
||||
return field
|
||||
|
||||
@ -145,7 +152,7 @@ def date(field, field_name):
|
||||
|
||||
return field
|
||||
except ValueError:
|
||||
print(f"Invalid date ({field_name}): {field}")
|
||||
print(f"{Fore.RED}Invalid date ({field_name}): {Fore.RESET}{field}")
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|
||||
return field
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||||
|
||||
@ -178,9 +185,7 @@ def suspicious_characters(field, field_name):
|
||||
# character and spanning enough of the rest to give a preview,
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# but not too much to cause the line to break in terminals with
|
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# a default of 80 characters width.
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suspicious_character_msg = (
|
||||
f"Suspicious character ({field_name}): {field_subset}"
|
||||
)
|
||||
suspicious_character_msg = f"{Fore.YELLOW}Suspicious character ({field_name}): {Fore.RESET}{field_subset}"
|
||||
print(f"{suspicious_character_msg:1.80}")
|
||||
|
||||
return field
|
||||
@ -205,16 +210,16 @@ def language(field):
|
||||
# can check it against ISO 639-1 or ISO 639-3 accordingly.
|
||||
if len(value) == 2:
|
||||
if not languages.get(alpha_2=value):
|
||||
print(f"Invalid ISO 639-1 language: {value}")
|
||||
print(f"{Fore.RED}Invalid ISO 639-1 language: {Fore.RESET}{value}")
|
||||
|
||||
pass
|
||||
elif len(value) == 3:
|
||||
if not languages.get(alpha_3=value):
|
||||
print(f"Invalid ISO 639-3 language: {value}")
|
||||
print(f"{Fore.RED}Invalid ISO 639-3 language: {Fore.RESET}{value}")
|
||||
|
||||
pass
|
||||
else:
|
||||
print(f"Invalid language: {value}")
|
||||
print(f"{Fore.RED}Invalid language: {Fore.RESET}{value}")
|
||||
|
||||
return field
|
||||
|
||||
@ -256,7 +261,7 @@ def agrovoc(field, field_name):
|
||||
|
||||
# check if there are any results
|
||||
if len(data["results"]) == 0:
|
||||
print(f"Invalid AGROVOC ({field_name}): {value}")
|
||||
print(f"{Fore.RED}Invalid AGROVOC ({field_name}): {Fore.RESET}{value}")
|
||||
|
||||
return field
|
||||
|
||||
@ -309,6 +314,6 @@ def filename_extension(field):
|
||||
break
|
||||
|
||||
if filename_extension_match is False:
|
||||
print(f"Filename with uncommon extension: {value}")
|
||||
print(f"{Fore.YELLOW}Filename with uncommon extension: {Fore.RESET}{value}")
|
||||
|
||||
return field
|
||||
|
@ -1,4 +1,5 @@
|
||||
import pandas as pd
|
||||
from colorama import Fore
|
||||
|
||||
|
||||
def correct_language(row):
|
||||
@ -10,10 +11,11 @@ def correct_language(row):
|
||||
language and returns the value in the language field if it does match.
|
||||
"""
|
||||
|
||||
from pycountry import languages
|
||||
import langid
|
||||
import re
|
||||
|
||||
import langid
|
||||
from pycountry import languages
|
||||
|
||||
# Initialize some variables at global scope so that we can set them in the
|
||||
# loop scope below and still be able to access them afterwards.
|
||||
language = ""
|
||||
@ -83,12 +85,12 @@ def correct_language(row):
|
||||
detected_language = languages.get(alpha_2=langid_classification[0])
|
||||
if len(language) == 2 and language != detected_language.alpha_2:
|
||||
print(
|
||||
f"Possibly incorrect language {language} (detected {detected_language.alpha_2}): {title}"
|
||||
f"{Fore.YELLOW}Possibly incorrect language {language} (detected {detected_language.alpha_2}): {Fore.RESET}{title}"
|
||||
)
|
||||
|
||||
elif len(language) == 3 and language != detected_language.alpha_3:
|
||||
print(
|
||||
f"Possibly incorrect language {language} (detected {detected_language.alpha_3}): {title}"
|
||||
f"{Fore.YELLOW}Possibly incorrect language {language} (detected {detected_language.alpha_3}): {Fore.RESET}{title}"
|
||||
)
|
||||
|
||||
else:
|
||||
|
@ -2,6 +2,7 @@ import re
|
||||
from unicodedata import normalize
|
||||
|
||||
import pandas as pd
|
||||
from colorama import Fore
|
||||
|
||||
from csv_metadata_quality.util import is_nfc
|
||||
|
||||
@ -29,7 +30,9 @@ def whitespace(field, field_name):
|
||||
match = re.findall(pattern, value)
|
||||
|
||||
if match:
|
||||
print(f"Removing excessive whitespace ({field_name}): {value}")
|
||||
print(
|
||||
f"{Fore.GREEN}Removing excessive whitespace ({field_name}): {Fore.RESET}{value}"
|
||||
)
|
||||
value = re.sub(pattern, " ", value)
|
||||
|
||||
# Save cleaned value
|
||||
@ -62,7 +65,9 @@ def separators(field, field_name):
|
||||
for value in field.split("||"):
|
||||
# Check if the value is blank and skip it
|
||||
if value == "":
|
||||
print(f"Fixing unnecessary multi-value separator ({field_name}): {field}")
|
||||
print(
|
||||
f"{Fore.GREEN}Fixing unnecessary multi-value separator ({field_name}): {Fore.RESET}{field}"
|
||||
)
|
||||
|
||||
continue
|
||||
|
||||
@ -71,7 +76,9 @@ def separators(field, field_name):
|
||||
match = re.findall(pattern, value)
|
||||
|
||||
if match:
|
||||
print(f"Fixing invalid multi-value separator ({field_name}): {value}")
|
||||
print(
|
||||
f"{Fore.RED}Fixing invalid multi-value separator ({field_name}): {Fore.RESET}{value}"
|
||||
)
|
||||
|
||||
value = re.sub(pattern, "||", value)
|
||||
|
||||
@ -107,7 +114,7 @@ def unnecessary_unicode(field):
|
||||
match = re.findall(pattern, field)
|
||||
|
||||
if match:
|
||||
print(f"Removing unnecessary Unicode (U+200B): {field}")
|
||||
print(f"{Fore.GREEN}Removing unnecessary Unicode (U+200B): {Fore.RESET}{field}")
|
||||
field = re.sub(pattern, "", field)
|
||||
|
||||
# Check for replacement characters (U+FFFD)
|
||||
@ -115,7 +122,7 @@ def unnecessary_unicode(field):
|
||||
match = re.findall(pattern, field)
|
||||
|
||||
if match:
|
||||
print(f"Removing unnecessary Unicode (U+FFFD): {field}")
|
||||
print(f"{Fore.GREEN}Removing unnecessary Unicode (U+FFFD): {Fore.RESET}{field}")
|
||||
field = re.sub(pattern, "", field)
|
||||
|
||||
# Check for no-break spaces (U+00A0)
|
||||
@ -123,7 +130,9 @@ def unnecessary_unicode(field):
|
||||
match = re.findall(pattern, field)
|
||||
|
||||
if match:
|
||||
print(f"Replacing unnecessary Unicode (U+00A0): {field}")
|
||||
print(
|
||||
f"{Fore.GREEN}Replacing unnecessary Unicode (U+00A0): {Fore.RESET}{field}"
|
||||
)
|
||||
field = re.sub(pattern, " ", field)
|
||||
|
||||
# Check for soft hyphens (U+00AD), sometimes preceeded with a normal hyphen
|
||||
@ -131,7 +140,9 @@ def unnecessary_unicode(field):
|
||||
match = re.findall(pattern, field)
|
||||
|
||||
if match:
|
||||
print(f"Replacing unnecessary Unicode (U+00AD): {field}")
|
||||
print(
|
||||
f"{Fore.GREEN}Replacing unnecessary Unicode (U+00AD): {Fore.RESET}{field}"
|
||||
)
|
||||
field = re.sub(pattern, "-", field)
|
||||
|
||||
return field
|
||||
@ -156,7 +167,9 @@ def duplicates(field, field_name):
|
||||
if value not in new_values:
|
||||
new_values.append(value)
|
||||
else:
|
||||
print(f"Removing duplicate value ({field_name}): {value}")
|
||||
print(
|
||||
f"{Fore.GREEN}Removing duplicate value ({field_name}): {Fore.RESET}{value}"
|
||||
)
|
||||
|
||||
# Create a new field consisting of all values joined with "||"
|
||||
new_field = "||".join(new_values)
|
||||
@ -189,7 +202,7 @@ def newlines(field):
|
||||
match = re.findall(r"\n", field)
|
||||
|
||||
if match:
|
||||
print(f"Removing newline: {field}")
|
||||
print(f"{Fore.GREEN}Removing newline: {Fore.RESET}{field}")
|
||||
field = field.replace("\n", "")
|
||||
|
||||
return field
|
||||
@ -213,7 +226,9 @@ def comma_space(field, field_name):
|
||||
match = re.findall(r",\w", field)
|
||||
|
||||
if match:
|
||||
print(f"Adding space after comma ({field_name}): {field}")
|
||||
print(
|
||||
f"{Fore.GREEN}Adding space after comma ({field_name}): {Fore.RESET}{field}"
|
||||
)
|
||||
field = re.sub(r",(\w)", r", \1", field)
|
||||
|
||||
return field
|
||||
@ -234,7 +249,7 @@ def normalize_unicode(field, field_name):
|
||||
|
||||
# Check if the current string is using normalized Unicode (NFC)
|
||||
if not is_nfc(field):
|
||||
print(f"Normalizing Unicode ({field_name}): {field}")
|
||||
print(f"{Fore.GREEN}Normalizing Unicode ({field_name}): {Fore.RESET}{field}")
|
||||
field = normalize("NFC", field)
|
||||
|
||||
return field
|
||||
|
@ -1 +1 @@
|
||||
VERSION = "0.4.3"
|
||||
VERSION = "0.4.5"
|
||||
|
46
poetry.lock
generated
46
poetry.lock
generated
@ -159,7 +159,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
|
||||
name = "colorama"
|
||||
version = "0.4.4"
|
||||
description = "Cross-platform colored terminal text."
|
||||
category = "dev"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
|
||||
|
||||
@ -233,7 +233,7 @@ python-versions = "*"
|
||||
|
||||
[[package]]
|
||||
name = "ipython"
|
||||
version = "7.20.0"
|
||||
version = "7.21.0"
|
||||
description = "IPython: Productive Interactive Computing"
|
||||
category = "dev"
|
||||
optional = false
|
||||
@ -388,7 +388,7 @@ pyparsing = ">=2.0.2"
|
||||
|
||||
[[package]]
|
||||
name = "pandas"
|
||||
version = "1.2.2"
|
||||
version = "1.2.3"
|
||||
description = "Powerful data structures for data analysis, time series, and statistics"
|
||||
category = "main"
|
||||
optional = false
|
||||
@ -765,7 +765,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
|
||||
[metadata]
|
||||
lock-version = "1.1"
|
||||
python-versions = "^3.8"
|
||||
content-hash = "63f2c6ef09652c4f8407660ff7b4690c8a07e5501eb8fc8c477f485de5888fcf"
|
||||
content-hash = "8c4ba410bbdc930d2d74f7864470a18827029a5697869833959708d7425460ae"
|
||||
|
||||
[metadata.files]
|
||||
agate = [
|
||||
@ -851,8 +851,8 @@ iniconfig = [
|
||||
{file = "iniconfig-1.1.1.tar.gz", hash = "sha256:bc3af051d7d14b2ee5ef9969666def0cd1a000e121eaea580d4a313df4b37f32"},
|
||||
]
|
||||
ipython = [
|
||||
{file = "ipython-7.20.0-py3-none-any.whl", hash = "sha256:1918dea4bfdc5d1a830fcfce9a710d1d809cbed123e85eab0539259cb0f56640"},
|
||||
{file = "ipython-7.20.0.tar.gz", hash = "sha256:1923af00820a8cf58e91d56b89efc59780a6e81363b94464a0f17c039dffff9e"},
|
||||
{file = "ipython-7.21.0-py3-none-any.whl", hash = "sha256:34207ffb2f653bced2bc8e3756c1db86e7d93e44ed049daae9814fed66d408ec"},
|
||||
{file = "ipython-7.21.0.tar.gz", hash = "sha256:04323f72d5b85b606330b6d7e2dc8d2683ad46c3905e955aa96ecc7a99388e70"},
|
||||
]
|
||||
ipython-genutils = [
|
||||
{file = "ipython_genutils-0.2.0-py2.py3-none-any.whl", hash = "sha256:72dd37233799e619666c9f639a9da83c34013a73e8bbc79a7a6348d93c61fab8"},
|
||||
@ -924,24 +924,22 @@ packaging = [
|
||||
{file = "packaging-20.9.tar.gz", hash = "sha256:5b327ac1320dc863dca72f4514ecc086f31186744b84a230374cc1fd776feae5"},
|
||||
]
|
||||
pandas = [
|
||||
{file = "pandas-1.2.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c76a108272a4de63189b8f64086bbaf8348841d7e610b52f50959fbbf401524f"},
|
||||
{file = "pandas-1.2.2-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:e61a089151f1ed78682aa77a3bcae0495cf8e585546c26924857d7e8a9960568"},
|
||||
{file = "pandas-1.2.2-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:fc351cd2df318674669481eb978a7799f24fd14ef26987a1aa75105b0531d1a1"},
|
||||
{file = "pandas-1.2.2-cp37-cp37m-win32.whl", hash = "sha256:05ca6bda50123158eb15e716789083ca4c3b874fd47688df1716daa72644ee1c"},
|
||||
{file = "pandas-1.2.2-cp37-cp37m-win_amd64.whl", hash = "sha256:08b6bbe74ae2b3e4741a744d2bce35ce0868a6b4189d8b84be26bb334f73da4c"},
|
||||
{file = "pandas-1.2.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:230de25bd9791748b2638c726a5f37d77a96a83854710110fadd068d1e2c2c9f"},
|
||||
{file = "pandas-1.2.2-cp38-cp38-manylinux1_i686.whl", hash = "sha256:a50cf3110a1914442e7b7b9cef394ef6bed0d801b8a34d56f4c4e927bbbcc7d0"},
|
||||
{file = "pandas-1.2.2-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:4d33537a375cfb2db4d388f9a929b6582a364137ea6c6b161b0166440d6ffe36"},
|
||||
{file = "pandas-1.2.2-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:8ac028cd9a6e1efe43f3dc36f708263838283535cc45430a98b9803f44f4c84b"},
|
||||
{file = "pandas-1.2.2-cp38-cp38-win32.whl", hash = "sha256:c43d1beb098a1da15934262009a7120aac8dafa20d042b31dab48c28868eb5a4"},
|
||||
{file = "pandas-1.2.2-cp38-cp38-win_amd64.whl", hash = "sha256:69a70d79a791fa1fd5f6e84b8b6dec2ec92369bde4ab2e18d43fc8a1825f51d1"},
|
||||
{file = "pandas-1.2.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cbad4155028b8ca66aa19a8b13f593ebbf51bfb6c3f2685fe64f04d695a81864"},
|
||||
{file = "pandas-1.2.2-cp39-cp39-manylinux1_i686.whl", hash = "sha256:fbddbb20f30308ba2546193d64e18c23b69f59d48cdef73676cbed803495c8dc"},
|
||||
{file = "pandas-1.2.2-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:214ae60b1f863844e97c87f758c29940ffad96c666257323a4bb2a33c58719c2"},
|
||||
{file = "pandas-1.2.2-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:26b4919eb3039a686a86cd4f4a74224f8f66e3a419767da26909dcdd3b37c31e"},
|
||||
{file = "pandas-1.2.2-cp39-cp39-win32.whl", hash = "sha256:e3c250faaf9979d0ec836d25e420428db37783fa5fed218da49c9fc06f80f51c"},
|
||||
{file = "pandas-1.2.2-cp39-cp39-win_amd64.whl", hash = "sha256:e9bbcc7b5c432600797981706f5b54611990c6a86b2e424329c995eea5f9c42b"},
|
||||
{file = "pandas-1.2.2.tar.gz", hash = "sha256:14ed84b463e9b84c8ff9308a79b04bf591ae3122a376ee0f62c68a1bd917a773"},
|
||||
{file = "pandas-1.2.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:4d821b9b911fc1b7d428978d04ace33f0af32bb7549525c8a7b08444bce46b74"},
|
||||
{file = "pandas-1.2.3-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:9f5829e64507ad10e2561b60baf285c470f3c4454b007c860e77849b88865ae7"},
|
||||
{file = "pandas-1.2.3-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:97b1954533b2a74c7e20d1342c4f01311d3203b48f2ebf651891e6a6eaf01104"},
|
||||
{file = "pandas-1.2.3-cp37-cp37m-win32.whl", hash = "sha256:5e3c8c60541396110586bcbe6eccdc335a38e7de8c217060edaf4722260b158f"},
|
||||
{file = "pandas-1.2.3-cp37-cp37m-win_amd64.whl", hash = "sha256:8a051e957c5206f722e83f295f95a2cf053e890f9a1fba0065780a8c2d045f5d"},
|
||||
{file = "pandas-1.2.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:a93e34f10f67d81de706ce00bf8bb3798403cabce4ccb2de10c61b5ae8786ab5"},
|
||||
{file = "pandas-1.2.3-cp38-cp38-manylinux1_i686.whl", hash = "sha256:46fc671c542a8392a4f4c13edc8527e3a10f6cb62912d856f82248feb747f06e"},
|
||||
{file = "pandas-1.2.3-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:43e00770552595c2250d8d712ec8b6e08ca73089ac823122344f023efa4abea3"},
|
||||
{file = "pandas-1.2.3-cp38-cp38-win32.whl", hash = "sha256:475b7772b6e18a93a43ea83517932deff33954a10d4fbae18d0c1aba4182310f"},
|
||||
{file = "pandas-1.2.3-cp38-cp38-win_amd64.whl", hash = "sha256:72ffcea00ae8ffcdbdefff800284311e155fbb5ed6758f1a6110fc1f8f8f0c1c"},
|
||||
{file = "pandas-1.2.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:621c044a1b5e535cf7dcb3ab39fca6f867095c3ef223a524f18f60c7fee028ea"},
|
||||
{file = "pandas-1.2.3-cp39-cp39-manylinux1_i686.whl", hash = "sha256:0f27fd1adfa256388dc34895ca5437eaf254832223812afd817a6f73127f969c"},
|
||||
{file = "pandas-1.2.3-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:dbb255975eb94143f2e6ec7dadda671d25147939047839cd6b8a4aff0379bb9b"},
|
||||
{file = "pandas-1.2.3-cp39-cp39-win32.whl", hash = "sha256:d59842a5aa89ca03c2099312163ffdd06f56486050e641a45d926a072f04d994"},
|
||||
{file = "pandas-1.2.3-cp39-cp39-win_amd64.whl", hash = "sha256:09761bf5f8c741d47d4b8b9073288de1be39bbfccc281d70b889ade12b2aad29"},
|
||||
{file = "pandas-1.2.3.tar.gz", hash = "sha256:df6f10b85aef7a5bb25259ad651ad1cc1d6bb09000595cab47e718cbac250b1d"},
|
||||
]
|
||||
parsedatetime = [
|
||||
{file = "parsedatetime-2.6-py3-none-any.whl", hash = "sha256:cb96edd7016872f58479e35879294258c71437195760746faffedb692aef000b"},
|
||||
|
@ -1,6 +1,6 @@
|
||||
[tool.poetry]
|
||||
name = "csv-metadata-quality"
|
||||
version = "0.4.3"
|
||||
version = "0.4.5"
|
||||
description="A simple, but opinionated CSV quality checking and fixing pipeline for CSVs in the DSpace ecosystem."
|
||||
authors = ["Alan Orth <alan.orth@gmail.com>"]
|
||||
license="GPL-3.0-only"
|
||||
@ -16,6 +16,7 @@ requests = "^2.23.0"
|
||||
requests-cache = "^0.5.2"
|
||||
pycountry = "^19.8.18"
|
||||
langid = "^1.1.6"
|
||||
colorama = "^0.4.4"
|
||||
|
||||
[tool.poetry.dev-dependencies]
|
||||
pytest = "^6.1.1"
|
||||
|
@ -12,7 +12,7 @@ black==20.8b1; python_version >= "3.6"
|
||||
certifi==2020.12.5; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
|
||||
chardet==4.0.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
|
||||
click==7.1.2; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version >= "3.6"
|
||||
colorama==0.4.4; python_version >= "3.7" and python_full_version < "3.0.0" and sys_platform == "win32" and python_version < "4.0" and (python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6") or sys_platform == "win32" and python_version >= "3.7" and python_full_version >= "3.5.0" and python_version < "4.0" and (python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6")
|
||||
colorama==0.4.4; (python_version >= "2.7" and python_full_version < "3.0.0") or (python_full_version >= "3.5.0")
|
||||
csvkit==1.0.5
|
||||
dbfread==2.0.7
|
||||
decorator==4.4.2; python_version >= "3.7" and python_full_version < "3.0.0" and python_version < "4.0" or python_version >= "3.7" and python_version < "4.0" and python_full_version >= "3.2.0"
|
||||
@ -21,7 +21,7 @@ flake8==3.8.4; (python_version >= "2.7" and python_full_version < "3.0.0") or (p
|
||||
idna==2.10; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
|
||||
iniconfig==1.1.1; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
|
||||
ipython-genutils==0.2.0; python_version >= "3.7" and python_version < "4.0"
|
||||
ipython==7.20.0; python_version >= "3.7" and python_version < "4.0"
|
||||
ipython==7.21.0; python_version >= "3.7" and python_version < "4.0"
|
||||
isodate==0.6.0
|
||||
isort==5.7.0; python_version >= "3.6" and python_version < "4.0"
|
||||
jdcal==1.4.1; python_version >= "3.6"
|
||||
@ -30,29 +30,29 @@ langid==1.1.6
|
||||
leather==0.3.3
|
||||
mccabe==0.6.1; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.4.0"
|
||||
mypy-extensions==0.4.3; python_version >= "3.6"
|
||||
numpy==1.20.0; python_version >= "3.7" and python_full_version >= "3.7.1"
|
||||
numpy==1.20.1; python_version >= "3.7" and python_full_version >= "3.7.1"
|
||||
openpyxl==3.0.6; python_version >= "3.6"
|
||||
packaging==20.9; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
|
||||
pandas==1.2.1; python_full_version >= "3.7.1"
|
||||
pandas==1.2.3; python_full_version >= "3.7.1"
|
||||
parsedatetime==2.6
|
||||
parso==0.8.1; python_version >= "3.7" and python_version < "4.0"
|
||||
pathspec==0.8.1; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version >= "3.6"
|
||||
pexpect==4.8.0; python_version >= "3.7" and python_version < "4.0" and sys_platform != "win32"
|
||||
pickleshare==0.7.5; python_version >= "3.7" and python_version < "4.0"
|
||||
pluggy==0.13.1; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
|
||||
prompt-toolkit==3.0.14; python_version >= "3.7" and python_version < "4.0" and python_full_version >= "3.6.1"
|
||||
prompt-toolkit==3.0.16; python_version >= "3.7" and python_version < "4.0" and python_full_version >= "3.6.1"
|
||||
ptyprocess==0.7.0; python_version >= "3.7" and python_version < "4.0" and sys_platform != "win32"
|
||||
py==1.10.0; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
|
||||
pycodestyle==2.6.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.4.0"
|
||||
pycountry==19.8.18
|
||||
pyflakes==2.2.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.4.0"
|
||||
pygments==2.7.4; python_version >= "3.7" and python_version < "4.0"
|
||||
pygments==2.8.0; python_version >= "3.7" and python_version < "4.0"
|
||||
pyparsing==2.4.7; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
|
||||
pytest-clarity==0.3.0a0; (python_version >= "2.7" and python_full_version < "3.0.0") or (python_full_version >= "3.4.0")
|
||||
pytest==6.2.2; python_version >= "3.6"
|
||||
python-dateutil==2.8.1; python_full_version >= "3.7.1"
|
||||
python-slugify==4.0.1; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
|
||||
python-stdnum==1.15
|
||||
python-stdnum==1.16
|
||||
pytimeparse==1.1.8
|
||||
pytz==2021.1; python_full_version >= "3.7.1"
|
||||
regex==2020.11.13; python_version >= "3.6"
|
||||
|
@ -1,12 +1,13 @@
|
||||
certifi==2020.12.5; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
|
||||
chardet==4.0.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
|
||||
colorama==0.4.4; (python_version >= "2.7" and python_full_version < "3.0.0") or (python_full_version >= "3.5.0")
|
||||
idna==2.10; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
|
||||
langid==1.1.6
|
||||
numpy==1.20.0; python_version >= "3.7" and python_full_version >= "3.7.1"
|
||||
pandas==1.2.1; python_full_version >= "3.7.1"
|
||||
numpy==1.20.1; python_version >= "3.7" and python_full_version >= "3.7.1"
|
||||
pandas==1.2.3; python_full_version >= "3.7.1"
|
||||
pycountry==19.8.18
|
||||
python-dateutil==2.8.1; python_full_version >= "3.7.1"
|
||||
python-stdnum==1.15
|
||||
python-stdnum==1.16
|
||||
pytz==2021.1; python_full_version >= "3.7.1"
|
||||
requests-cache==0.5.2
|
||||
requests==2.25.1; (python_version >= "2.7" and python_full_version < "3.0.0") or (python_full_version >= "3.5.0")
|
||||
|
2
setup.py
2
setup.py
@ -14,7 +14,7 @@ install_requires = [
|
||||
|
||||
setuptools.setup(
|
||||
name="csv-metadata-quality",
|
||||
version="0.4.3",
|
||||
version="0.4.5",
|
||||
author="Alan Orth",
|
||||
author_email="aorth@mjanja.ch",
|
||||
description="A simple, but opinionated CSV quality checking and fixing pipeline for CSVs in the DSpace ecosystem.",
|
||||
|
@ -1,4 +1,5 @@
|
||||
import pandas as pd
|
||||
from colorama import Fore
|
||||
|
||||
import csv_metadata_quality.check as check
|
||||
import csv_metadata_quality.experimental as experimental
|
||||
@ -12,7 +13,7 @@ def test_check_invalid_issn(capsys):
|
||||
check.issn(value)
|
||||
|
||||
captured = capsys.readouterr()
|
||||
assert captured.out == f"Invalid ISSN: {value}\n"
|
||||
assert captured.out == f"{Fore.RED}Invalid ISSN: {Fore.RESET}{value}\n"
|
||||
|
||||
|
||||
def test_check_valid_issn():
|
||||
@ -33,7 +34,7 @@ def test_check_invalid_isbn(capsys):
|
||||
check.isbn(value)
|
||||
|
||||
captured = capsys.readouterr()
|
||||
assert captured.out == f"Invalid ISBN: {value}\n"
|
||||
assert captured.out == f"{Fore.RED}Invalid ISBN: {Fore.RESET}{value}\n"
|
||||
|
||||
|
||||
def test_check_valid_isbn():
|
||||
@ -56,7 +57,10 @@ def test_check_invalid_separators(capsys):
|
||||
check.separators(value, field_name)
|
||||
|
||||
captured = capsys.readouterr()
|
||||
assert captured.out == f"Invalid multi-value separator ({field_name}): {value}\n"
|
||||
assert (
|
||||
captured.out
|
||||
== f"{Fore.RED}Invalid multi-value separator ({field_name}): {Fore.RESET}{value}\n"
|
||||
)
|
||||
|
||||
|
||||
def test_check_unnecessary_separators(capsys):
|
||||
@ -70,7 +74,8 @@ def test_check_unnecessary_separators(capsys):
|
||||
|
||||
captured = capsys.readouterr()
|
||||
assert (
|
||||
captured.out == f"Unnecessary multi-value separator ({field_name}): {field}\n"
|
||||
captured.out
|
||||
== f"{Fore.RED}Unnecessary multi-value separator ({field_name}): {Fore.RESET}{field}\n"
|
||||
)
|
||||
|
||||
|
||||
@ -96,7 +101,7 @@ def test_check_missing_date(capsys):
|
||||
check.date(value, field_name)
|
||||
|
||||
captured = capsys.readouterr()
|
||||
assert captured.out == f"Missing date ({field_name}).\n"
|
||||
assert captured.out == f"{Fore.RED}Missing date ({field_name}).{Fore.RESET}\n"
|
||||
|
||||
|
||||
def test_check_multiple_dates(capsys):
|
||||
@ -109,7 +114,10 @@ def test_check_multiple_dates(capsys):
|
||||
check.date(value, field_name)
|
||||
|
||||
captured = capsys.readouterr()
|
||||
assert captured.out == f"Multiple dates not allowed ({field_name}): {value}\n"
|
||||
assert (
|
||||
captured.out
|
||||
== f"{Fore.RED}Multiple dates not allowed ({field_name}): {Fore.RESET}{value}\n"
|
||||
)
|
||||
|
||||
|
||||
def test_check_invalid_date(capsys):
|
||||
@ -122,7 +130,9 @@ def test_check_invalid_date(capsys):
|
||||
check.date(value, field_name)
|
||||
|
||||
captured = capsys.readouterr()
|
||||
assert captured.out == f"Invalid date ({field_name}): {value}\n"
|
||||
assert (
|
||||
captured.out == f"{Fore.RED}Invalid date ({field_name}): {Fore.RESET}{value}\n"
|
||||
)
|
||||
|
||||
|
||||
def test_check_valid_date():
|
||||
@ -147,7 +157,10 @@ def test_check_suspicious_characters(capsys):
|
||||
check.suspicious_characters(value, field_name)
|
||||
|
||||
captured = capsys.readouterr()
|
||||
assert captured.out == f"Suspicious character ({field_name}): ˆt\n"
|
||||
assert (
|
||||
captured.out
|
||||
== f"{Fore.YELLOW}Suspicious character ({field_name}): {Fore.RESET}ˆt\n"
|
||||
)
|
||||
|
||||
|
||||
def test_check_valid_iso639_1_language():
|
||||
@ -178,7 +191,9 @@ def test_check_invalid_iso639_1_language(capsys):
|
||||
check.language(value)
|
||||
|
||||
captured = capsys.readouterr()
|
||||
assert captured.out == f"Invalid ISO 639-1 language: {value}\n"
|
||||
assert (
|
||||
captured.out == f"{Fore.RED}Invalid ISO 639-1 language: {Fore.RESET}{value}\n"
|
||||
)
|
||||
|
||||
|
||||
def test_check_invalid_iso639_3_language(capsys):
|
||||
@ -189,7 +204,9 @@ def test_check_invalid_iso639_3_language(capsys):
|
||||
check.language(value)
|
||||
|
||||
captured = capsys.readouterr()
|
||||
assert captured.out == f"Invalid ISO 639-3 language: {value}\n"
|
||||
assert (
|
||||
captured.out == f"{Fore.RED}Invalid ISO 639-3 language: {Fore.RESET}{value}\n"
|
||||
)
|
||||
|
||||
|
||||
def test_check_invalid_language(capsys):
|
||||
@ -200,7 +217,7 @@ def test_check_invalid_language(capsys):
|
||||
check.language(value)
|
||||
|
||||
captured = capsys.readouterr()
|
||||
assert captured.out == f"Invalid language: {value}\n"
|
||||
assert captured.out == f"{Fore.RED}Invalid language: {Fore.RESET}{value}\n"
|
||||
|
||||
|
||||
def test_check_invalid_agrovoc(capsys):
|
||||
@ -212,7 +229,10 @@ def test_check_invalid_agrovoc(capsys):
|
||||
check.agrovoc(value, field_name)
|
||||
|
||||
captured = capsys.readouterr()
|
||||
assert captured.out == f"Invalid AGROVOC ({field_name}): {value}\n"
|
||||
assert (
|
||||
captured.out
|
||||
== f"{Fore.RED}Invalid AGROVOC ({field_name}): {Fore.RESET}{value}\n"
|
||||
)
|
||||
|
||||
|
||||
def test_check_valid_agrovoc():
|
||||
@ -234,7 +254,10 @@ def test_check_uncommon_filename_extension(capsys):
|
||||
check.filename_extension(value)
|
||||
|
||||
captured = capsys.readouterr()
|
||||
assert captured.out == f"Filename with uncommon extension: {value}\n"
|
||||
assert (
|
||||
captured.out
|
||||
== f"{Fore.YELLOW}Filename with uncommon extension: {Fore.RESET}{value}\n"
|
||||
)
|
||||
|
||||
|
||||
def test_check_common_filename_extension():
|
||||
@ -262,7 +285,7 @@ def test_check_incorrect_iso_639_1_language(capsys):
|
||||
captured = capsys.readouterr()
|
||||
assert (
|
||||
captured.out
|
||||
== f"Possibly incorrect language {language} (detected en): {title}\n"
|
||||
== f"{Fore.YELLOW}Possibly incorrect language {language} (detected en): {Fore.RESET}{title}\n"
|
||||
)
|
||||
|
||||
|
||||
@ -281,7 +304,7 @@ def test_check_incorrect_iso_639_3_language(capsys):
|
||||
captured = capsys.readouterr()
|
||||
assert (
|
||||
captured.out
|
||||
== f"Possibly incorrect language {language} (detected eng): {title}\n"
|
||||
== f"{Fore.YELLOW}Possibly incorrect language {language} (detected eng): {Fore.RESET}{title}\n"
|
||||
)
|
||||
|
||||
|
||||
|
Reference in New Issue
Block a user