| Commit message (Collapse) | Author | Age | Files | Lines |
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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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> 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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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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Example of a non-ascii doi:
* https://doi.org/10.13125/américacrítica/3017
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address issue with EN DASH DOI.
> "external identifier doesn't match required pattern for a DOI (expected,
eg, '10.1234/aksjdfh'): 10.25513/1812-3996.2017.1.34–42"
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Should be a level debug, not info.
Examples: E675, n/a, 15D.2.1, 15D.2.1, A.1E.1, A.1E.1, ...
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* add missing langdetect
* use entity_to_dict for json debug output
* factor out code for fields in function and add table driven tests
* update citeproc types
* add author as default role
* add raw_affiliation
* include relations from datacite
* remove url (covered by doi already)
Using yapf for python formatting.
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Additionally, try the unspecific (%Y) pattern last.
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Current version succeeded to import a random sample of 100000 records
(0.5%) from datacite.
The --debug (write JSON to stdout) and --insert-log-file (log batch
before committing to db) flags are temporary added to help debugging.
Add few unit tests.
Some edge cases:
a) Existing keys without value requires a slightly awkward:
```
titles = attributes.get('titles', []) or []
```
b) There can be 0, 1, or more (first one wins) titles.
c) Date handling is probably not ideal. Datacite has a potentiall fine
grained list of dates.
The test case (tests/files/datacite_sample.jsonl) refers to
https://ssl.fao.org/glis/doi/10.18730/8DYM9, which has date (main
descriptor) 1986. The datacite record contains: 2017 (publicationYear,
probably the year of record creation with reference system), 1978-06-03
(collected, e.g. experimental sample), 1986 ("Accepted"). The online
version of the resource knows even one more date (2019-06-05 10:14:43 by
WIEWS update).
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Currently using two external libraries:
* dateparser
* langcodes
Note: This commit includes lots of wip docs and field stat in comment,
which should be removed.
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* contributors, title, date, publisher, container, license
Field and value analysis via https://github.com/miku/indigo.
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The bracket syntax is inclusive. See also:
https://www.elastic.co/guide/en/elasticsearch/reference/7.5/query-dsl-query-string-query.html#_ranges
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As a first iteration, just mark the daily batch complete and continue.
The occasional HTTP 400 issue has been reported as
https://github.com/datacite/datacite/issues/897.
A possible improvement would be to shrink the window, so losses will be
smaller.
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Update parameter update for datacite API v2. Works fine, but there are
occasional HTTP 400 responses when using the cursor API (daily updates
can exceed the 10000 record limit for search queries).
The HTTP 400 issue is not solved yet, but reported to datacite as
https://github.com/datacite/datacite/issues/897.
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