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Alan Orth
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Due to a sloppy regex I was sometimes matching the subregion field when checking for missing UN M.49 regions in the region field.
5.9 KiB
5.9 KiB
Changelog
All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
Unreleased
Fixed
- Missing region check should ignore subregion field, if it exists
[0.6.0] - 2022-09-02
Changed
- Perform fix for "unnecessary" Unicode characters after we try to fix encoding issues with ftfy
- ftfy heuristics to use
is_bad()
instead ofsequence_weirdness()
- ftfy
fix_text()
to not change “smart quotes” to "ASCII quotes"
Updated
- Python dependencies
- Metadatata field exclude logic
Added
- Ability to drop invalid AGROVOC values with
-d
when checking AGROVOC values with-a <field.name>
- Ability to add missing UN M.49 regions when both country and region columns
are present. Enable with
-u
(unsafe fixes) for now.
Removed
- Support for reading Excel files (both
.xls
and.xlsx
) as it was completely untested
[0.5.0] - 2021-12-08
Added
- Ability to check for, and fix, "mojibake" characters using ftfy
- Ability to check if the item's title exists in the citation
- Ability to check if an item has countries, but no matching regions (only suggests missing regions if there is a region field in the CSV)
Updated
- Python dependencies
Fixed
- Regular expression to match all citation fields (dc.identifier.citation as
well as dcterms.bibliographicCitation) in
experimental.correct_language()
- Regular expression to match dc.title and dcterms.title, but
ignore dc.title.alternative
check.duplicate_items()
- Missing field name in
fix.newlines()
output
[0.4.7] - 2021-03-17
Changed
- Fixing invalid multi-value separators like
|
and|||
is no longer class- ified as "unsafe" as I have yet to see a case where this was intentional - Not user visible, but now checks only print a warning to the screen instead of returning a value and re-writing the DataFrame, which should be faster and use less memory
Added
- Configurable directory for AGROVOC requests cache (to allow running the web version from Google App Engine where we can only write to /tmp)
- Ability to check for duplicate items in the data set (uses a combination of the title, type, and date issued to determine uniqueness)
Removed
- Checks for invalid and unnecessary multi-value separators because now I fix them whenever I see them, so there is no need to have checks for them
Updated
- Run
poetry update
to update project dependencies
[0.4.6] - 2021-03-11
Added
- Validation of dcterms.license field against SPDX license identifiers
Changed
- Use DCTERMS fields where possible in
data/test.csv
Updated
- Run
poetry update
to update project dependencies
Fixed
- Output for all fixes should be green, because it is good
[0.4.5] - 2021-03-04
Added
- Check dates in dcterms.issued field as well, not just fields that have the word "date" in them
Updated
- Run
poetry update
to update project dependencies
[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
- Add field name to the output for more fixes and checks to help identify where the error is
- Minor optimizations to AGROVOC subject lookup
- Use Poetry instead of Pipenv
Updated
- Update python dependencies to latest versions
[0.4.1] - 2020-01-15
Changed
- Reduce minimum Python version to 3.6 by working around the
is_normalized()
that only works in Python >= 3.8
[0.4.0] - 2020-01-15
Added
- Unicode normalization (enable with
--unsafe-fixes
, see README.md)
Updated
- Update python dependencies to latest versions, including numpy 1.18.1, pandas 1.0.0rc0, flake8 3.7.9, pytest 5.3.2, and black 19.10b0
- Regenerate requirements.txt and requirements-dev.txt
Changed
- Use Python 3.8.0 for pipenv
- Use Ubuntu 18.04 "Bionic" for TravisCI builds
- Test Python 3.8 in TravisCI builds
[0.3.1] - 2019-10-01
Changed
- Replace non-breaking spaces (U+00A0) with space instead of removing them
- Harmonize language of script output when fixing various issues
[0.3.0] - 2019-09-26
Updated
- Update python dependencies to latest versions, including numpy 1.17.2, pandas 0.25.1, pytest 5.1.3, and requests-cache 0.5.2
Added
- csvkit to dev requirements (csvcut etc are useful during development)
- Experimental language validation using the Python
langid
library (enable with-e
, see README.md)
Changed
- Re-formatted code with black and isort
[0.2.2] - 2019-08-27
Changed
- Output of date checks to include column names (helps debugging in case there are multiple date fields)
Added
- Ability to exclude certain fields using
--exclude-fields
- Fix for missing space after a comma, ie "Orth,Alan S."
Improved
- AGROVOC lookup code
[0.2.1] - 2019-08-11
Added
- Check for uncommon filename extensions
- Replacement of unneccessary Unicode characters like soft hyphens (U+00AD)
[0.2.0] - 2019-08-09
Added
- Handle Ctrl-C interrupt gracefully
- Make output in suspicious character check more user friendly
- Add pytest-clarity to dev packages for more user friendly pytest output
[0.1.0] - 2019-08-01
Changed
- AGROVOC validation is now turned off by default
Added
- Ability to enable AGROVOC validation on a field-by-field basis using the
--agrovoc-fields
option - Option to print the version (
--version
or-V
)