1
0
mirror of https://github.com/ilri/csv-metadata-quality.git synced 2024-11-18 03:57:03 +01:00
Commit Graph

93 Commits

Author SHA1 Message Date
898bb412c3
Add checks and unsafe fixes for mojibake
This detects whether text has likely been encoded in one encoding
and decoded in another, perhaps multiple times. This often results
in display of "mojibake" characters.

For example, a file encoded in UTF-8 is opened as CP-1252 (Windows
Latin codepage) in Microsoft Excel, and saved again as UTF-8. You
will see strings like this in the resulting file:

    - CIAT Publicaçao
    - CIAT Publicación

The correct version of these in UTF-8 would be:

    - CIAT Publicaçao
    - CIAT Publicación

I use a code snippet from Martijn Pieters on StackOverflow to de-
tect whether a string is "weird" as determined by the excellent
"fixes text for you" (ftfy) Python library, then check if a weird
string encodes as CP-1252 or not. If so, I can try to fix it.

See: https://stackoverflow.com/questions/29071995/identify-garbage-unicode-string-using-python
2021-03-19 10:22:21 +02:00
f816e17fe7
Version 0.4.7
All checks were successful
continuous-integration/drone/push Build is passing
2021-03-17 10:00:34 +02:00
9f2dc0a0f5
Add support for detecting duplicate items
This uses the title, type, and date issued as a sort of "key" when
determining if an item already exists in the data set.
2021-03-17 09:53:07 +02:00
14010896a5
csv_metadata_quality/experimental.py: Move all imports to top of file
All checks were successful
continuous-integration/drone/push Build is passing
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
2021-03-16 16:13:34 +02:00
ab3af2ec62
csv_metadata_quality/check.py: Reformat with black 2021-03-16 16:12:33 +02:00
330a7b7b9c
Don't unnecessarily rewrite DataFrames for checks
By using df[column] = df[column].apply(check...) we were re-writing
the DataFrame every time we returned from a check. We don't actuall
y need to return a value at all, as the point of checks is to print
a warning to the screen. In Python a "return" statement without a v
ariable returns None.

I haven't measured the impact of this, but I assume it will mean we
are faster and use less memory.
2021-03-16 16:04:19 +02:00
10612cf891
Remove checks for invalid multi-value separators
Now that I no longer treat the fix for these as "unsafe" I don't a
ctually need to check for them—I can just fix them when I see them.
2021-03-14 21:01:21 +02:00
c9c277f8df
csv_metadata_quality/app.py: Update help text
All checks were successful
continuous-integration/drone/push Build is passing
Use DCTERMS fields where possible.
2021-03-14 10:52:58 +02:00
0e9176f0a6
csv_metadata_quality/check.py: requests cache
Allow overriding the directory for the requests cache. In the case
of csv-metadata-quality-web, which currently runs on Google's App
Engine, we can only write to /tmp.
2021-03-14 09:07:35 +02:00
1008acf35e
Always fix invalid multi-value separators
All checks were successful
continuous-integration/drone/push Build is passing
This is no longer class-ified as "unsafe" as I have yet to see a
case where this was intentional, and it always causes issues when
you import the data in a DSpace repository.
2021-03-13 12:59:45 +02:00
fa84cfa440
Bump version to 0.4.6-dev 2021-03-11 22:44:36 +02:00
1554cfd5c9
Version 0.4.6 2021-03-11 12:14:54 +02:00
a0ea829f5c
csv_metadata_quality/fix.py: Fixes should be green 2021-03-11 11:47:24 +02:00
d88ea56488
csv_metadata_quality/check.py: Move all imports to top of file
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
2021-03-11 10:52:20 +02:00
6e4b0e5c1b
Add validation of SPDX license identifiers
Currently this only checks the dcterms.license field and the result
will only be a warning.
2021-03-11 10:33:16 +02:00
202bda862a
Bump version to 0.4.5
All checks were successful
continuous-integration/drone/push Build is passing
2021-03-04 21:38:10 +02:00
dd2cfae047
csv_metadata_quality/app.py: Match dcterms.issued for dates
We used to only check fields that had "date" in their name because
we were using DSpace's default dc.date.* fields. Now we are using
dcterms.issued so I will add that one as well.
2021-02-28 15:11:06 +02:00
d76e72532a
Move unreleased changes to v0.4.4
All checks were successful
continuous-integration/drone/push Build is passing
2021-02-21 13:25:22 +02:00
a7fc5a246c
Colorize output
Some checks failed
continuous-integration/drone/push Build is failing
Messages will be colorized:

- Red for errors
- Yellow for warnings or information
- Green for fixes
2021-02-21 13:01:25 +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
cbf94490f2
Version 0.4.3 2021-01-26 15:22:40 +02:00
0dc66c5c4e
Expand check/fix for multi-value separators
I just came across some metadata that had unnecessary multi-value
separators at the end of a field, causing a blank value to be used.

For example: "Kenya||Tanzania||"
2021-01-03 15:30:03 +02:00
7cfd4c0b59
csv_metadata_quality: Move scoped imports to global
According to PEP8 we should avoid scoped imports unless you have a
good reason. Here there are two cases where we do (issn and isbn),
but I will move the others to the global scope.
2020-10-06 17:11:39 +03:00
431e6331c8
csv_metadata_quality/check.py: Format with black 2020-07-06 14:10:19 +03:00
cb07d357d4
Version 0.4.2 2020-07-06 14:04:34 +03:00
2a1566af62
csv_metadata_quality/check.py: Parameterize AGROVOC request 2020-07-06 13:44:46 +03:00
5fcaa63bd5
csv_metadata_quality/check.py: Prune requests cache once
We only need to prune the requests cache once before using it, not
for every value we check.
2020-07-06 13:42:19 +03:00
28b5996aa6
Output field name for more fixes and checks
This helps identify which field has the error.
2020-01-16 12:35:11 +02:00
0b2d211455
Version 0.4.1 2020-01-15 12:19:42 +02:00
365ecda324
Add utility function to check normalization
Python's built-in unicodedata library includes the is_normalized()
function starting with Python 3.8. This utility function allows us
to do the same thing with earlier Python versions.

See: https://docs.python.org/3/library/unicodedata.html
2020-01-15 12:17:52 +02:00
705127fd28
Version 0.4.0 2020-01-15 11:44:56 +02:00
87181bc7b8
Run black, isort, and flake8. 2020-01-15 11:41:31 +02:00
49e3543878
Add Unicode normalization
This will check all strings for un-normalized Unicode characters.
Normalization is done using NFC. This includes tests and updated
sample data (data/test.csv).

See: https://withblue.ink/2019/03/11/why-you-need-to-normalize-unicode-strings.html
2020-01-15 11:37:54 +02:00
efdc3a841a
Version 0.3.1 2019-10-01 17:11:13 +03:00
e55380b4d5
csv_metadata_quality/fix.py: Harmonize language in fix output
We should always say if we're removing or replacing something.
2019-10-01 17:09:49 +03:00
c42f8b4812
csv_metadata_quality/fix.py: Replace non-breaking spaces
We should be replacing non-breaking spaces (U+00A0) with normal sp-
aces instead of removing them.
2019-10-01 16:55:04 +03:00
e15c98cccb
Move unreleased changes to v0.3.0 2019-09-26 14:06:31 +03:00
8435ee242d
Experimental language detection using langid
Works decenty well assuming the title, abstract, and citation fields
are an accurate representation of the language as identified by the
language field. Handles ISO 639-1 (alpha 2) and ISO 639-3 (alpha 3)
values seamlessly.

This includes updated pipenv environment, test data, pytest tests
for both correct and incorrect ISO 639-1 and ISO 639-3 languages,
and a new command line option "-e".
2019-09-26 13:46:32 +03:00
86d4623fd3
More ISO 639-1 and ISO 639-3 fixes
ISO 639-1 uses two-letter codes and ISO 639-3 uses three-letter codes.
Technically there ISO 639-2/T and ISO 639-2/B, which also uses three
letter codes, but those are not supported by the pycountry library
so I won't even worry about them.

See: https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes
2019-09-26 07:44:39 +03:00
f304ca6a33
csv_metadata_quality/app.py: Use simpler column iteration
I don't know where I got the other one...
2019-09-21 17:19:39 +03:00
d9fc09f121
Fix references to ISO 639
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
2019-09-11 16:36:53 +03:00
280a99c8a8
Sort imports with isort
See: https://sourcery.ai/blog/python-best-practices/
2019-08-29 01:15:04 +03:00
d97dcd19db
Format with black 2019-08-29 01:10:39 +03:00
c354a3687c
Release version 0.2.2 2019-08-28 00:10:17 +03:00
81190d56bb
Add fix for missing space after commas
This happens in names very often, for example in the contributor
and citation fields. I will limit this to those fields for now and
hide this fix behind the "unsafe fixes" option until I test it more.
2019-08-28 00:05:52 +03:00
113e7cd8b6
csv_metadata_quality/app.py: Add ability to skip fields
The user may want to skip the checking and fixing of certain fields
in the input file.
2019-08-27 00:10:07 +03:00
884e8f970d
csv_metadata_quality/check.py: Simplify AGROVOC check
I recycled this code from a separate agrovoc-lookup.py script that
checks lines in a text file to see if they are valid AGROVOC terms
or not. There I was concerned about skipping comments or something
I think, but we don't need to check that here. We simply check the
term that is in the field and inform the user if it's valid or not.
2019-08-21 16:35:29 +03:00
ed5612fbcf
Add column name to output in date checks
This makes it easier to understand where the error is in case a CSV
has multiple date fields, for example:

    Missing date (dc.date.issued).
    Missing date (dc.date.issued[]).

If you have 126 items and you get 126 "Missing date" messages then
it's likely that 100 of the items have dates in one field, and the
others have dates in other field.
2019-08-21 15:31:12 +03:00
7255bf4707
Version 0.2.1 2019-08-11 10:39:39 +03:00
232ff99898
csv_metadata_quality/fix.py: Add more unneccessary Unicode fixes
Add a check for soft hyphens (U+00AD). In one sample CSV I have a
normal hyphen followed by a soft hyphen in an ISBN. This causes the
ISBN validation to fail.
2019-08-11 00:07:21 +03:00