1
0
mirror of https://github.com/ilri/csv-metadata-quality.git synced 2026-01-08 05:13:31 +01:00

20 Commits

Author SHA1 Message Date
d76e72532a Move unreleased changes to v0.4.4
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2021-02-21 13:25:22 +02:00
13980d2dde CHANGELOG.md: Add note about colored output 2021-02-21 13:12:26 +02:00
9aaaa62461 Update requirements
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Generated with poetry export:

    $ poetry export --without-hashes -f requirements.txt > requirements.txt
    $ poetry export --without-hashes --dev -f requirements.txt > requirements-dev.txt

I am trying `--without-hashes` to work around an error on pip install
when running in CI:

    ERROR: In --require-hashes mode, all requirements must have their versions pinned with ==.
2021-02-21 13:10:52 +02:00
a7fc5a246c Colorize output
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Messages will be colorized:

- Red for errors
- Yellow for warnings or information
- Green for fixes
2021-02-21 13:01:25 +02:00
7fb8acb866 Add colorama for colored output
Red for errors, yellow for warnings or information, and green for
fixes.
2021-02-21 13:00:31 +02:00
9f5d2c2c4f poetry.lock: Run poetry update
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2021-02-15 15:13:12 +02:00
202abf140c CHANGELOG.md: Add note about poetry
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2021-02-04 21:48:12 +02:00
0cd6d3dfe6 Update requirements
Generated with poetry export:

    $ poetry export --without-hashes -f requirements.txt > requirements.txt
    $ poetry export --without-hashes --dev -f requirements.txt > requirements-dev.txt

I am trying `--without-hashes` to work around an error on pip install
when running in CI:

    ERROR: In --require-hashes mode, all requirements must have their versions pinned with ==.
2021-02-04 21:46:49 +02:00
a458beac55 poetry.lock: Run poetry update 2021-02-04 21:45:30 +02:00
e62ecb0a8f CHANGELOG.md: Add note about new date format 2021-02-04 21:43:44 +02:00
de92f32ab6 csv_metadata_quality/check.py: More date formats
We should also allow ISO 8601 extended in combined date and time
format. DSpace does not have a problem with dates in this format
and I have found some metadata that uses this date format.

For example: 2020-08-31T11:04:56Z

See: https://en.wikipedia.org/wiki/ISO_8601
2021-02-04 21:39:14 +02:00
dbbbc0944a README.md: Add handle to citation
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2021-01-27 10:33:37 +02:00
d17bf3033c README.md: Add citation 2021-01-27 10:32:26 +02:00
2ec52f1b73 README.md: Update description
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2021-01-26 15:43:41 +02:00
aa1abf15a7 README.md: Adjust title 2021-01-26 15:35:21 +02:00
cbf94490f2 Version 0.4.3 2021-01-26 15:22:40 +02:00
f3d0d5ef07 setup.py: Remove Python 3.6
I actually removed Python 3.6 support a few weeks ago after updating
to Pandas 1.2.0, but forgot to update this.
2021-01-26 15:22:08 +02:00
4b7b99c94c CHANGELOG.md: Add note about multi-value separators 2021-01-26 15:20:22 +02:00
df670e81b9 README.md: Use badge from my Drone CI
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I'm not using SourceHut anymore.
2021-01-26 14:38:50 +02:00
ae357d8c6c Revert "Update requirements"
This reverts commit ca80340f7a.

Nope, we still need the --without-hashes because this still fails
on Python 3.7, but not 3.8 or 3.9. From looking around it seems
that nobody can agree whether poetry should handle this, pip should
handle it, or upstream projects should pin their dependencies.
2021-01-26 14:15:31 +02:00
13 changed files with 363 additions and 675 deletions

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@@ -4,13 +4,25 @@ 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).
## Unreleased
## [0.4.4] - 2021-02-21
### Added
- Accept dates formatted in ISO 8601 extended with combined date and time, for
example: 2020-08-31T11:04:56Z
- Colorized output: red for errors, yellow for warnings and information, green
for changes
### Updated
- Run `poetry update` to update project dependencies
## [0.4.3] - 2021-01-26
### Changed
- Reformat with black
- Requires Python 3.7+ for pandas 1.2.0
### Updated
- Run `poetry update`
- Expand check/fix for multi-value separators to include metadata with invalid
separators at the end, for example "Kenya||Tanzania||"
## [0.4.2] - 2020-07-06
### Changed

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@@ -1,8 +1,12 @@
# CSV Metadata Quality ![GitHub Actions](https://github.com/ilri/csv-metadata-quality/workflows/Build%20and%20Test/badge.svg) [![builds.sr.ht status](https://builds.sr.ht/~alanorth/csv-metadata-quality.svg)](https://builds.sr.ht/~alanorth/csv-metadata-quality?)
A simple, but opinionated metadata quality checker and fixer designed to work with CSVs in the DSpace ecosystem (though it could theoretically work on any CSV that uses Dublin Core fields as columns). The implementation is essentially a pipeline of checks and fixes that begins with splitting multi-value fields on the standard DSpace "||" separator, trimming leading/trailing whitespace, and then proceeding to more specialized cases like ISSNs, ISBNs, languages, etc.
# DSpace CSV Metadata Quality Checker ![GitHub Actions](https://github.com/ilri/csv-metadata-quality/workflows/Build%20and%20Test/badge.svg) [![Build Status](https://ci.mjanja.ch/api/badges/alanorth/csv-metadata-quality/status.svg)](https://ci.mjanja.ch/alanorth/csv-metadata-quality)
A simple, but opinionated metadata quality checker and fixer designed to work with CSVs in the DSpace ecosystem (though it could theoretically work on any CSV that uses Dublin Core fields as columns). The implementation is essentially a pipeline of checks and fixes that begins with splitting multi-value fields on the standard DSpace "||" separator, trimming leading/trailing whitespace, and then proceeding to more specialized cases like ISSNs, ISBNs, languages, unnecessary Unicode, AGROVOC terms, etc.
Requires Python 3.7 or greater (3.8 recommended). CSV and Excel support comes from the [Pandas](https://pandas.pydata.org/) library, though your mileage may vary with Excel because this is much less tested.
If you use the DSpace CSV metadata quality checker please cite:
*Orth, A. 2019. DSpace CSV metadata quality checker. Nairobi, Kenya: ILRI. https://hdl.handle.net/10568/110997.*
## Functionality
- Validate dates, ISSNs, ISBNs, and multi-value separators ("||")

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@@ -4,6 +4,7 @@ import signal
import sys
import pandas as pd
from colorama import Fore
import csv_metadata_quality.check as check
import csv_metadata_quality.experimental as experimental
@@ -77,7 +78,7 @@ def run(argv):
if column == exclude and skip is False:
skip = True
if skip:
print(f"Skipping {column}")
print(f"{Fore.YELLOW}Skipping {Fore.RESET}{column}")
continue

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@@ -3,6 +3,7 @@ from datetime import datetime, timedelta
import pandas as pd
import requests
import requests_cache
from colorama import Fore
from pycountry import languages
@@ -26,7 +27,7 @@ def issn(field):
for value in field.split("||"):
if not issn.is_valid(value):
print(f"Invalid ISSN: {value}")
print(f"{Fore.RED}Invalid ISSN: {Fore.RESET}{value}")
return field
@@ -51,7 +52,7 @@ def isbn(field):
for value in field.split("||"):
if not isbn.is_valid(value):
print(f"Invalid ISBN: {value}")
print(f"{Fore.RED}Invalid ISBN: {Fore.RESET}{value}")
return field
@@ -76,7 +77,9 @@ def separators(field, field_name):
for value in field.split("||"):
# Check if the current value is blank
if value == "":
print(f"Unnecessary multi-value separator ({field_name}): {field}")
print(
f"{Fore.RED}Unnecessary multi-value separator ({field_name}): {Fore.RESET}{field}"
)
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}"
)
return field
@@ -102,7 +107,7 @@ def date(field, field_name):
"""
if pd.isna(field):
print(f"Missing date ({field_name}).")
print(f"{Fore.RED}Missing date ({field_name}).{Fore.RESET}")
return
@@ -111,7 +116,9 @@ def date(field, field_name):
# We don't allow multi-value date fields
if len(multiple_dates) > 1:
print(f"Multiple dates not allowed ({field_name}): {field}")
print(
f"{Fore.RED}Multiple dates not allowed ({field_name}): {Fore.RESET}{field}"
)
return field
@@ -137,7 +144,15 @@ def date(field, field_name):
return field
except ValueError:
print(f"Invalid date ({field_name}): {field}")
pass
try:
# Check if date is valid YYYY-MM-DDTHH:MM:SSZ format
datetime.strptime(field, "%Y-%m-%dT%H:%M:%SZ")
return field
except ValueError:
print(f"{Fore.RED}Invalid date ({field_name}): {Fore.RESET}{field}")
return field
@@ -170,9 +185,7 @@ def suspicious_characters(field, field_name):
# 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}"
)
suspicious_character_msg = f"{Fore.YELLOW}Suspicious character ({field_name}): {Fore.RESET}{field_subset}"
print(f"{suspicious_character_msg:1.80}")
return field
@@ -197,16 +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
@@ -248,7 +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
@@ -301,6 +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

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@@ -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:

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@@ -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

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@@ -1 +1 @@
VERSION = "0.4.2"
VERSION = "0.4.4"

332
poetry.lock generated
View File

@@ -67,7 +67,6 @@ description = "Disable App Nap on macOS >= 10.9"
category = "dev"
optional = false
python-versions = "*"
marker = "python_version >= \"3.7\" and python_version < \"4.0\" and sys_platform == \"darwin\""
[[package]]
name = "atomicwrites"
@@ -76,7 +75,6 @@ description = "Atomic file writes."
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
marker = "sys_platform == \"win32\""
[[package]]
name = "attrs"
@@ -87,10 +85,10 @@ optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[package.extras]
dev = ["coverage (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface", "furo", "sphinx", "pre-commit"]
dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface", "furo", "sphinx", "pre-commit"]
docs = ["furo", "sphinx", "zope.interface"]
tests = ["coverage (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface"]
tests_no_zope = ["coverage (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six"]
tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface"]
tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six"]
[[package]]
name = "babel"
@@ -110,7 +108,6 @@ description = "Specifications for callback functions passed in to an API"
category = "dev"
optional = false
python-versions = "*"
marker = "python_version >= \"3.7\" and python_version < \"4.0\""
[[package]]
name = "black"
@@ -120,10 +117,6 @@ category = "dev"
optional = false
python-versions = ">=3.6"
[package.extras]
colorama = ["colorama (>=0.4.3)"]
d = ["aiohttp (>=3.3.2)", "aiohttp-cors"]
[package.dependencies]
appdirs = "*"
click = ">=7.1.2"
@@ -134,6 +127,10 @@ toml = ">=0.10.1"
typed-ast = ">=1.4.0"
typing-extensions = ">=3.7.4"
[package.extras]
colorama = ["colorama (>=0.4.3)"]
d = ["aiohttp (>=3.3.2)", "aiohttp-cors"]
[[package]]
name = "certifi"
version = "2020.12.5"
@@ -162,10 +159,9 @@ 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.*"
marker = "python_version >= \"3.7\" and python_version < \"4.0\" and sys_platform == \"win32\" or sys_platform == \"win32\""
[[package]]
name = "csvkit"
@@ -197,7 +193,6 @@ description = "Decorators for Humans"
category = "dev"
optional = false
python-versions = ">=2.6, !=3.0.*, !=3.1.*"
marker = "python_version >= \"3.7\" and python_version < \"4.0\""
[[package]]
name = "et-xmlfile"
@@ -238,12 +233,23 @@ python-versions = "*"
[[package]]
name = "ipython"
version = "7.19.0"
version = "7.20.0"
description = "IPython: Productive Interactive Computing"
category = "dev"
optional = false
python-versions = ">=3.7"
marker = "python_version >= \"3.7\" and python_version < \"4.0\""
[package.dependencies]
appnope = {version = "*", markers = "sys_platform == \"darwin\""}
backcall = "*"
colorama = {version = "*", markers = "sys_platform == \"win32\""}
decorator = "*"
jedi = ">=0.16"
pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
pickleshare = "*"
prompt-toolkit = ">=2.0.0,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.1.0"
pygments = "*"
traitlets = ">=4.2"
[package.extras]
all = ["Sphinx (>=1.3)", "ipykernel", "ipyparallel", "ipywidgets", "nbconvert", "nbformat", "nose (>=0.10.1)", "notebook", "numpy (>=1.14)", "pygments", "qtconsole", "requests", "testpath"]
@@ -256,19 +262,6 @@ parallel = ["ipyparallel"]
qtconsole = ["qtconsole"]
test = ["nose (>=0.10.1)", "requests", "testpath", "pygments", "nbformat", "ipykernel", "numpy (>=1.14)"]
[package.dependencies]
appnope = "*"
backcall = "*"
colorama = "*"
decorator = "*"
jedi = ">=0.10"
pexpect = ">4.3"
pickleshare = "*"
prompt-toolkit = ">=2.0.0,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.1.0"
pygments = "*"
setuptools = ">=18.5"
traitlets = ">=4.2"
[[package]]
name = "ipython-genutils"
version = "0.2.0"
@@ -276,7 +269,6 @@ description = "Vestigial utilities from IPython"
category = "dev"
optional = false
python-versions = "*"
marker = "python_version >= \"3.7\" and python_version < \"4.0\""
[[package]]
name = "isodate"
@@ -317,15 +309,14 @@ description = "An autocompletion tool for Python that can be used for text edito
category = "dev"
optional = false
python-versions = ">=3.6"
marker = "python_version >= \"3.7\" and python_version < \"4.0\""
[package.extras]
qa = ["flake8 (3.8.3)", "mypy (0.782)"]
testing = ["Django (<3.1)", "colorama", "docopt", "pytest (<6.0.0)"]
[package.dependencies]
parso = ">=0.8.0,<0.9.0"
[package.extras]
qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
testing = ["Django (<3.1)", "colorama", "docopt", "pytest (<6.0.0)"]
[[package]]
name = "langid"
version = "1.1.6"
@@ -366,11 +357,11 @@ python-versions = "*"
[[package]]
name = "numpy"
version = "1.19.5"
version = "1.20.1"
description = "NumPy is the fundamental package for array computing with Python."
category = "main"
optional = false
python-versions = ">=3.6"
python-versions = ">=3.7"
[[package]]
name = "openpyxl"
@@ -386,7 +377,7 @@ jdcal = "*"
[[package]]
name = "packaging"
version = "20.8"
version = "20.9"
description = "Core utilities for Python packages"
category = "dev"
optional = false
@@ -397,20 +388,20 @@ pyparsing = ">=2.0.2"
[[package]]
name = "pandas"
version = "1.2.1"
version = "1.2.2"
description = "Powerful data structures for data analysis, time series, and statistics"
category = "main"
optional = false
python-versions = ">=3.7.1"
[package.extras]
test = ["pytest (>=5.0.1)", "pytest-xdist", "hypothesis (>=3.58)"]
[package.dependencies]
numpy = ">=1.16.5"
python-dateutil = ">=2.7.3"
pytz = ">=2017.3"
[package.extras]
test = ["pytest (>=5.0.1)", "pytest-xdist", "hypothesis (>=3.58)"]
[[package]]
name = "parsedatetime"
version = "2.6"
@@ -426,10 +417,9 @@ description = "A Python Parser"
category = "dev"
optional = false
python-versions = ">=3.6"
marker = "python_version >= \"3.7\" and python_version < \"4.0\""
[package.extras]
qa = ["flake8 (3.8.3)", "mypy (0.782)"]
qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
testing = ["docopt", "pytest (<6.0.0)"]
[[package]]
@@ -447,7 +437,6 @@ description = "Pexpect allows easy control of interactive console applications."
category = "dev"
optional = false
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View File

@@ -1,6 +1,6 @@
[tool.poetry]
name = "csv-metadata-quality"
version = "0.4.2"
version = "0.4.4"
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"

View File

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openpyxl==3.0.6 \
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packaging==20.8 \
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pandas==1.2.1 \
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parsedatetime==2.6 \
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parso==0.8.1; python_version >= "3.7" and python_version < "4.0" \
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pathspec==0.8.1 \
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pexpect==4.8.0; python_version >= "3.7" and python_version < "4.0" and sys_platform != "win32" \
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pickleshare==0.7.5; python_version >= "3.7" and python_version < "4.0" \
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pluggy==0.13.1 \
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prompt-toolkit==3.0.14; python_version >= "3.7" and python_version < "4.0" \
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ptyprocess==0.7.0; python_version >= "3.7" and python_version < "4.0" and sys_platform != "win32" \
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py==1.10.0 \
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pycodestyle==2.6.0 \
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pycountry==19.8.18 \
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pyflakes==2.2.0 \
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pygments==2.7.4; python_version >= "3.7" and python_version < "4.0" \
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pyparsing==2.4.7 \
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pytest==6.2.2 \
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pytest-clarity==0.3.0a0 \
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python-dateutil==2.8.1 \
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python-slugify==4.0.1 \
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python-stdnum==1.15 \
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pytimeparse==1.1.8 \
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pytz==2020.5 \
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regex==2020.11.13 \
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requests==2.25.1 \
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requests-cache==0.5.2 \
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six==1.15.0 \
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sqlalchemy==1.3.22 \
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termcolor==1.1.0 \
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text-unidecode==1.3 \
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toml==0.10.2 \
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traitlets==5.0.5; python_version >= "3.7" and python_version < "4.0" \
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typed-ast==1.4.2 \
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--hash=sha256:987f15737aba2ab5f3928c617ccf1ce412e2e321c77ab16ca5a293e7bbffd581 \
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--hash=sha256:9fc0b3cb5d1720e7141d103cf4819aea239f7d136acf9ee4a69b047b7986175a
typing-extensions==3.7.4.3 \
--hash=sha256:dafc7639cde7f1b6e1acc0f457842a83e722ccca8eef5270af2d74792619a89f \
--hash=sha256:7cb407020f00f7bfc3cb3e7881628838e69d8f3fcab2f64742a5e76b2f841918 \
--hash=sha256:99d4073b617d30288f569d3f13d2bd7548c3a7e4c8de87db09a9d29bb3a4a60c
urllib3==1.26.2 \
--hash=sha256:d8ff90d979214d7b4f8ce956e80f4028fc6860e4431f731ea4a8c08f23f99473 \
--hash=sha256:19188f96923873c92ccb987120ec4acaa12f0461fa9ce5d3d0772bc965a39e08
wcwidth==0.2.5; python_version >= "3.7" and python_version < "4.0" \
--hash=sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784 \
--hash=sha256:c4d647b99872929fdb7bdcaa4fbe7f01413ed3d98077df798530e5b04f116c83
xlrd==1.2.0 \
--hash=sha256:e551fb498759fa3a5384a94ccd4c3c02eb7c00ea424426e212ac0c57be9dfbde \
--hash=sha256:546eb36cee8db40c3eaa46c351e67ffee6eeb5fa2650b71bc4c758a29a1b29b2
agate-dbf==0.2.2
agate-excel==0.2.3
agate-sql==0.5.5
agate==1.6.1
appdirs==1.4.4; python_version >= "3.6"
appnope==0.1.2; python_version >= "3.7" and python_version < "4.0" and sys_platform == "darwin"
atomicwrites==1.4.0; python_version >= "3.6" and python_full_version < "3.0.0" and sys_platform == "win32" 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 >= "3.6" and python_full_version >= "3.4.0" and (python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6")
attrs==20.3.0; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
babel==2.9.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.4.0"
backcall==0.2.0; python_version >= "3.7" and python_version < "4.0"
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 >= "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"
et-xmlfile==1.0.1; python_version >= "3.6"
flake8==3.8.4; (python_version >= "2.7" and python_full_version < "3.0.0") or (python_full_version >= "3.4.0")
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"
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"
jedi==0.18.0; python_version >= "3.7" and python_version < "4.0"
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==1.20.1; 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==1.2.2; 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==3.0.16; 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==2.8.0; 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==1.16
pytimeparse==1.1.8
pytz==2021.1; python_full_version >= "3.7.1"
regex==2020.11.13; python_version >= "3.6"
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")
six==1.15.0; python_full_version >= "3.7.1"
sqlalchemy==1.3.23; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.4.0"
termcolor==1.1.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.4.0"
text-unidecode==1.3; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
toml==0.10.2; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
traitlets==5.0.5; python_version >= "3.7" and python_version < "4.0"
typed-ast==1.4.2; python_version >= "3.6"
typing-extensions==3.7.4.3; python_version >= "3.6"
urllib3==1.26.3; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version < "4"
wcwidth==0.2.5; python_version >= "3.7" and python_version < "4.0" and python_full_version >= "3.6.1"
xlrd==1.2.0; (python_version >= "2.7" and python_full_version < "3.0.0") or (python_full_version >= "3.4.0")

View File

@@ -1,90 +1,16 @@
certifi==2020.12.5 \
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chardet==4.0.0 \
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idna==2.10 \
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langid==1.1.6 \
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numpy==1.19.5 \
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pandas==1.2.1 \
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pycountry==19.8.18 \
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python-dateutil==2.8.1 \
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--hash=sha256:75bb3f31ea686f1197762692a9ee6a7550b59fc6ca3a1f4b5d7e32fb98e2da2a
python-stdnum==1.15 \
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--hash=sha256:46c05dff2d5ff89b12cc63ab54cca1e4788e4e3087c163a1b7434a53fa926f28
pytz==2020.5 \
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--hash=sha256:180befebb1927b16f6b57101720075a984c019ac16b1b7575673bea42c6c3da5
requests==2.25.1 \
--hash=sha256:c210084e36a42ae6b9219e00e48287def368a26d03a048ddad7bfee44f75871e \
--hash=sha256:27973dd4a904a4f13b263a19c866c13b92a39ed1c964655f025f3f8d3d75b804
requests-cache==0.5.2 \
--hash=sha256:813023269686045f8e01e2289cc1e7e9ae5ab22ddd1e2849a9093ab3ab7270eb \
--hash=sha256:81e13559baee64677a7d73b85498a5a8f0639e204517b5d05ff378e44a57831a
six==1.15.0 \
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--hash=sha256:30639c035cdb23534cd4aa2dd52c3bf48f06e5f4a941509c8bafd8ce11080259
urllib3==1.26.2 \
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xlrd==1.2.0 \
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--hash=sha256:546eb36cee8db40c3eaa46c351e67ffee6eeb5fa2650b71bc4c758a29a1b29b2
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==1.20.1; python_version >= "3.7" and python_full_version >= "3.7.1"
pandas==1.2.2; python_full_version >= "3.7.1"
pycountry==19.8.18
python-dateutil==2.8.1; python_full_version >= "3.7.1"
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")
six==1.15.0; python_full_version >= "3.7.1"
urllib3==1.26.3; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version < "4"
xlrd==1.2.0; (python_version >= "2.7" and python_full_version < "3.0.0") or (python_full_version >= "3.4.0")

View File

@@ -14,7 +14,7 @@ install_requires = [
setuptools.setup(
name="csv-metadata-quality",
version="0.4.2",
version="0.4.3",
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.",
@@ -23,7 +23,6 @@ setuptools.setup(
long_description_content_type="text/markdown",
url="https://github.com/alanorth/csv-metadata-quality",
classifiers=[
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",

View File

@@ -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"
)