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* improve datacite field mapping and importMartin Czygan2019-12-281-0/+1
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).