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Includes a trivial test and transform, but not any workers or doc
updates.
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Records from https://www.micropublication.org/ did not have a date in
FC, although raw data contained date strings - they were not using the
finer-grained "attributes.date" but "attributes.published" and/or
"attributes.publicationYear".
Support for those fields has been added, including a test case.
During this test (#30) a processing gap for names became clear (author
may have "given_name" and "surname", but no "name"). This bug has been
fixed, too.
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Technically, [...] DOI names may incorporate any printable characters
from the Universal Character Set (UCS-2), of ISO/IEC 10646, which is the
character set defined by Unicode (https://www.doi.org/doi_handbook/2_Numbering.html#2.5.1).
For mostly QA reasons, we currently treat a DOI with an "en dash" as
invalid.
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Use values from:
* attributes.creators[]
* attributes.contributors[]
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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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> 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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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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* 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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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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* contributors, title, date, publisher, container, license
Field and value analysis via https://github.com/miku/indigo.
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Produced messages should match:
jq '.data|length' tests/files/datacite_api.json
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