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mirror of https://github.com/ilri/csv-metadata-quality.git synced 2024-11-16 02:57:04 +01:00
Commit Graph

49 Commits

Author SHA1 Message Date
040e56fc76
Improve exclude function
When a user explicitly requests that a field be excluded with -x we
skip that field in most checks. Up until now that did not include
the item-based checks using a transposed dataframe because we don't
know the metadata field names (labels) until we iterate over them.

Now the excludes are respected for item-based checks.
2022-09-02 15:59:22 +03:00
117c6ca85d
csv_metadata_quality/check.py: missing region fixes
Port over the recent fixes and logic improvements to regions from
fix.py.
2022-09-01 16:38:35 +03:00
a7727b8431
Add support for dropping invalid AGROVOC terms
Requires --agrovoc-fields <field.name> to do the actual validation,
and -d to drop invalid ones.
2021-12-23 12:43:55 +02:00
ccc2a73456
Add check for countries without matching regions
If we have country "Kenya" we should have region "Eastern Africa"
according to the UN M.49 geolocation scheme.
2021-12-08 15:02:20 +02:00
4d5696c4cb
csv_metadata_quality/check.py: update title in citation check
Initialize the titles and citations before the for loop so we can
access them later. This makes it easier to check if the item actua-
lly has a citation.
2021-12-05 16:21:44 +02:00
3b40a68279
Add check for title in citation
This checks if the item title exists in the citation. If it is not
present it could just be missing, or could have minor differences
in the whitespace, accents, etc.
2021-12-05 15:52:42 +02:00
8a27fb2589
Add check for missing DOIs
All checks were successful
continuous-integration/drone/push Build is passing
Sometimes an editor includes a DOI in the citation field, but does
not add a standalone DOI field.
2021-10-06 21:25:39 +03:00
6ba16d5d4c
csv_metadata_quality/check.py: Fix duplicate checker
Fix the incorrect type field regex, and improve the title regex to
consider dcterms.title and dc.title (along with the DSpace language
variants like dc.title[en_US]), but ignore dc.title.alternative.

See: https://regex101.com/r/I4m06F/1
2021-10-06 19:32:40 +03:00
4e2eab68b0
Update requests-cache
Apparently we were stuck on an older version of requests-cache due
to the fact that we were using the caret, which will never update
the left-most (major) version. Upstream requests-cache is currently
version 0.6.4, and there seems to have been some changes to the API.
2021-07-06 15:24:39 +03:00
a8fe623f4c
csv_metadata_quality/check.py: Remove unnecessary pass
All checks were successful
continuous-integration/drone/push Build is passing
LGTM warned that these pass statements are not necessary.

See: https://lgtm.com/rules/910088/
2021-04-20 08:20:13 +03:00
cfe09f7126
Add SPDX short license identifier to all Python files
See: https://spdx.github.io/spdx-spec/appendix-V-using-SPDX-short-identifiers-in-source-files/
2021-03-19 16:04:40 +02:00
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
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
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
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
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
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
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
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
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
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
d97dcd19db
Format with black 2019-08-29 01:10:39 +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
13d5221378
csv_metadata_quality/check.py: Fix test for False 2019-08-10 23:52:53 +03:00
9ce7dc6716
Add check for uncommon filenames
Generally we want people to upload documents in accessible formats
like PDF, Word, Excel, and PowerPoint. This check warns if a file
is using an uncommon extension.
2019-08-10 23:41:16 +03:00
62fea95087
Improve suspicious character detection
Now it will print just the part of the metadata value that contains
the suspicious character (up to 80 characters, so we don't make the
line break on terminals that use 80 character width by default).

Also, print the name of the field in which the metadata value is so
that it is easier for the user to locate.
2019-08-09 01:25:40 +03:00
bf876a046a
Rework AGROVOC validation
AGROVOC validation is now disabled by default, but can be enabled
on a field-by-field basis. For example, countries and regions are
also present in AGROVOC. Fields with these values can be enabled
using the new `--agrovoc-fields` option.

I reworked the script output to show the field name when printing
an invalid term so that the user knows in which field the term is.
2019-08-01 23:51:58 +03:00
3c798fb504
Use pycountry instead of iso-639 for languages
The latter is a fork that hasn't been updated since 2016 and the
original still seems to be well maintained, with recent database
updates as well as tests for Python 3.7.

Also, pycountry supports ISO 3166-2 (administrative zones), which
we could eventually use for sub regions.
2019-07-30 16:39:26 +03:00
4e3511cd55
csv_metadata_quality/check.py: Fix AGROVOC lookup
We actually only need to see if there are more than zero matches
because a term like "Nigeria" will match in English, Spanish, etc,
whereas terms that *really* don't match will have zero results.
2019-07-30 14:51:44 +03:00
1f65a28307
Add support for validating subjects against AGROVOC
Checks values in the dc.subject or dcterms.subject field against the
AGROVOC REST API hosted by FAO. Code borrowed from agrovoc-lookup.py.

See: http://agrovoc.uniroma2.it/agrovoc/agrovoc/en/
See: https://github.com/ilri/DSpace/blob/5_x-prod/agrovoc-lookup.py
2019-07-30 00:30:31 +03:00
a36454a3ac
Add support for validating languages
Will validate against ISO 639-2 or ISO 639-3 depending on how long
the language field is. Otherwise will return that the language is
invalid.

Does not currently have any support for generic values like "Other".
2019-07-29 18:59:42 +03:00
d7888d59a8
csv_metadata_quality/check.py: Return date even if it is invalid
Otherwise it is missing from the final CSV and then we can't even
fix it. :)
2019-07-29 17:40:14 +03:00
fa4fa3491b
Add check for "suspicious" characters
These standalone characters often indicate issues with encoding or
copy/paste in languages with accents like French and Spanish. For
example: foreˆt should be forêt.

It is not possible to fix these issues automatically, but this will
print a warning so you can notify the owner of the data.
2019-07-29 17:08:49 +03:00
42920e9c7c
Test Python regular expression matches directly
Match objects always have a boolean value of True.

See: https://docs.python.org/3.7/library/re.html
2019-07-29 16:16:30 +03:00
87b1997051
Fix whitespace errors found by flake8 2019-07-28 17:47:28 +03:00
196bb434fa
Add date validation
I'm only concerned with validating issue dates here. In DSpace they
are generally always YYYY, YYY-MM, or YYYY-MM-DD (though in theory
they could be any valid ISO8601 format).

This also checks for cases where the date is missing and where the
metadata has specified multiple dates like "1990||1991", as this is
valid, but there is no practical value for it in our system.
2019-07-28 16:11:36 +03:00
3cf9f9452b
csv_metadata_quality/check.py: Always return field
We always need to return the field back so apply doesn't set it to
null when creating the new data frame.
2019-07-27 01:28:08 +03:00
aaf3537ba4
Add check for invalid multi-value separators 2019-07-26 23:48:24 +03:00
02f9d8a736
csv_metadata_quality/check.py: Add check for missing isbn values 2019-07-26 23:45:18 +03:00
e160b17fb0
Add ISSN and ISBN checks using python-stdnum 2019-07-26 23:14:10 +03:00