| Commit message (Collapse) | Author | Age | Files | Lines |
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Good to have exceptions tracked and stored even for commands run from
the command line. But in particular the importer runs as a kafka worker
and should be tracking excpetions.
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Pipfile.lock is broken.
* martin-datacite-import: (68 commits)
datacite: pass in doi into factored out method
datacite: reformat test cases and use jq . --sort-keys
datacite: factor out contributor handling
datacite: catch type mismatch in language detection
datacite: adjust tests for release_month
datacite: name extra.month, extra.release_month
datacite: mark additional files as stub
datacite: CCDC are entries, mostly
datacite: use more specific release_type, if possible
datacite: ignore certain names
datacite: over 3% records have the same title: stub
datacite: fill a few more release_type gaps
datacite: adding datacite-specific extra metadata
datacite: apply pylint suggestions
datacite: fix typos
datacite: set release_stage to published by default
datacite: month field should be top-level
datacite: include month in extra
datacite: indicate mismatched file in test
datacite: clean abstracts, use unknown value tokens
...
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Use values from:
* attributes.creators[]
* attributes.contributors[]
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The GBIF (https://www.gbif.org/) deposits most records under the titles:
* 599243 GBIF Occurrence Download
* 41176 Occurrence Download
Mark them as "stub" for the moment
(https://guide.fatcat.wiki/entity_release.html#release_type-vocabulary).
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* citeproc: http://docs.citationstyles.org/en/stable/specification.html#appendix-iii-types
* resourceTypeGeneral: https://schema.datacite.org/meta/kernel-4.0/doc/DataCite-MetadataKernel_v4.0.pdf#page=32
* resourceType: uncontrolled, over 170000 distinct values, frequent:
null, Dataset, JournalArticle, PGRFA Material, Journal Article,
Dataset/UNITE Species Hypothesis, ...
General frequency:
* "attributes.types": 18210075,
* "attributes.types.ris": 18058890,
* "attributes.types.bibtex": 18058888,
* "attributes.types.citeproc": 18058890,
* "attributes.types.schemaOrg": 18058929,
* "attributes.types.resourceType": 12737988,
* "attributes.types.resourceTypeGeneral": 16576139,
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* attributes.metadataVersion
* attributes.schemaVersion
* attributes.version (source dependent values, follows suggestions in
https://schema.datacite.org/meta/kernel-4.3/doc/DataCite-MetadataKernel_v4.3.pdf#page=26,
but values vary)
Furthermore:
* attributes.types.resourceTypeGeneral
* attributes.types.resourceType
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Set to `None` only if there is no publisher yet.
Docs: https://support.datacite.org/docs/doi-states
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> include release_month as a top-level extra field [...] to
auto-populate the schema field from that
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Datacite defines placeholders for unknown values:
* https://support.datacite.org/docs/schema-values-unknown-information-v43
Clean abstracts.
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The purpose of this change is to test errors when pytest tries to
recursively update assertion statements in all dependent packages. The
reason pytest does this is to add pretty printing, which is nice, but
probably shouldn't be done in all dependency libraries.
This fixes test problems with both CSL (citeproc_styles) and dateparser
(when actually imported in code, which currently on master does not
happen).
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> always include extra values for the respective DOI registrars
(datacite, crossref, jalc), even if they are empty ({}), to be used as a
flag so we know which DOI registrar supplied the metadata.
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As [...] we will soon add support for release_month field in the release schema.
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first seen in CI (jobs/230137), slightly related:
https://github.com/pytest-dev/pytest/issues/3953
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via: $ pipenv lock
CI complained with a slightly cryptic:
> TypeError: __init__() missing 1 required positional argument: 'self'
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Estimated time for a single call is in the order of 50ms.
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> The convention for display_name and raw_name is to be how the name
would normally be printed, not in index form (surname comma given_name).
So we might need to un-encode names like "Tricart, Pierre".
Use an additional `index_form_to_display_name` function to convert index
from to display form, heuristically.
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The `test_datacite_conversions` function will compare an input
(datacite) document to an expected output (release entity as JSON). This
way, it should not be too hard to add more cases by adding: input,
output - and by increasing the counter in the range loop within the
test.
To view input and result side by side with vim, change into the test
directory and run:
tests/files/datacite $ ./caseview.sh 18
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