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* datacite: resolve formatting issues in testsMartin Czygan2020-07-101-2/+5
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| * lint (flake8) python test filesBryan Newbold2020-07-011-20/+22
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* | wip: contrib, GH59Martin Czygan2020-07-101-229/+361
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* | datacite: address duplicated contributor issueMartin Czygan2020-07-071-1/+1
|/ | | | | | | Use string comparison. * https://fatcat.wiki/release/spjysmrnsrgyzgq6ise5o44rlu/contribs * https://api.datacite.org/dois/10.25940/roper-31098406
* datacite: improve license mappingMartin Czygan2020-06-301-0/+14
| | | | via "missed potential license", refs #58
* datacite: hard cast possible date value to stringMartin Czygan2020-06-291-0/+1
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* datacite: fix type errorMartin Czygan2020-04-221-1/+1
| | | | | | | Up to now, we expected the description to be a string or list. Add handling for int as well. First appeared: Apr 22 19:58:39.
* datacite: fix a raw name constraint violationMartin Czygan2020-04-201-1/+1
| | | | | | | It was possible that contribs got added which had no raw name. One example would be a name consisting of whitespace only. This fix adds a final check for this case.
* datacite: improve date handling and minor tweakMartin Czygan2020-01-301-2/+1
| | | | | | | | | | | | | 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.
* datacite: add entry to license slug mapMartin Czygan2020-01-091-0/+1
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* datacite: ignore known unknown values in resourceType*Martin Czygan2020-01-091-1/+1
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* datacite: abstracts may be strings or list of stringsMartin Czygan2020-01-091-1/+1
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* datacite: improve license_slug handlingMartin Czygan2020-01-091-1/+30
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* datacite: factor out contributor handlingMartin Czygan2020-01-081-2/+2
| | | | | | | Use values from: * attributes.creators[] * attributes.contributors[]
* datacite: mark additional files as stubMartin Czygan2020-01-081-1/+1
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* datacite: indicate mismatched file in testMartin Czygan2020-01-061-1/+1
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* datacite: use normal.clean_doiMartin Czygan2020-01-031-4/+0
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* datacite: parse_datacite_dates returns monthMartin Czygan2020-01-031-7/+16
| | | | As [...] we will soon add support for release_month field in the release schema.
* datacite: prepare release_month (stub)Martin Czygan2020-01-031-14/+14
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* datacite: add another test caseMartin Czygan2020-01-021-1/+1
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* datacite: address raw_name index form commentMartin Czygan2020-01-021-1/+17
| | | | | | | | | > 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.
* datacite: add conversion fixturesMartin Czygan2020-01-021-1/+25
| | | | | | | | | | | | | 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
* datacite: adjust testsMartin Czygan2019-12-281-2/+1
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* address first round of MR14 commentsMartin Czygan2019-12-281-2/+176
| | | | | | | | | | | | | * 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.
* improve datacite field mapping and importMartin Czygan2019-12-281-17/+91
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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).
* datacite: importer skeletonMartin Czygan2019-12-281-0/+25
* contributors, title, date, publisher, container, license Field and value analysis via https://github.com/miku/indigo.
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