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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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