def test_unmerge_orcid_nones(self):
# First, fetch a few DOIs
dois = [
"10.1075/aicr.90.09ngo",
"10.1075/aicr.90.04wad",
]
for doi in dois:
Paper.create_by_doi(doi)
# Then, fetch an ORCID profile with a buggy version of the ORCID interface, which incorrectly merges papers together
with patch.object(OrcidPaperSource,
'_oai_id_for_doi') as mock_identifier:
mock_identifier.return_value = "https://pub.orcid.org/v2.1/0000-0002-1909-134X/work/None"
profile = OrcidProfileStub('0000-0002-1909-134X',
instance='orcid.org')
trung = Researcher.get_or_create_by_orcid('0000-0002-1909-134X',
profile=profile)
OrcidPaperSource().fetch_and_save(trung, profile=profile)
# The two papers are incorrectly merged!
papers = [Paper.get_by_doi(doi) for doi in dois]
self.assertEqual(papers[0], papers[1])
# We unmerge them
unmerge_orcid_nones()
# The two papers are now distinct
papers = [Paper.get_by_doi(doi) for doi in dois]
self.assertTrue(papers[0] != papers[1])
def test_fetch_metadata_from_dois_no_paper(self, monkeypatch):
"""
If no paper created, expect None
"""
monkeypatch.setattr(Paper, 'create_by_doi', lambda x: None)
monkeypatch.setattr(CrossRef, 'fetch_batch', lambda x: [None])
o = OrcidPaperSource()
papers = list(o.fetch_metadata_from_dois('spam', 'ham', ['any_doi']))
assert len(papers) == 1
assert papers[0] is None
def fetch_crossref_profile(request, django_db_setup, django_db_blocker, get_researcher_by_name):
with django_db_blocker.unblock():
call_command('loaddata', 'test_dump.json')
self = request.cls
self.i = Institution.objects.get(name='ENS')
self.d = Department.objects.get(name='Chemistry dept')
self.r2 = get_researcher_by_name('Ludovic', 'Jullien')
self.r3 = get_researcher_by_name('Antoine', 'Amarilli')
cr_api = OrcidPaperSource()
cr_api.fetch_and_save(request.cls.r3)
def test_enhance_paper_orcid_oai_exists(self, researcher_lesot):
"""
If source exists, nothing must happen
"""
doi = '10.1016/j.ijar.2017.06.011'
p = Paper.create_by_doi(doi)
o = OrcidPaperSource()
ref_name = (researcher_lesot.name.first, researcher_lesot.name.last)
p = o._enhance_paper(p, ref_name, researcher_lesot.orcid)
# Lesot is now a researcher of the paper
assert p.authors_list[1]['researcher_id'] == researcher_lesot.pk
# There must be a second OaiRecord
p.cache_oairecords() # Cache is not up to date
assert len(p.oairecords) == 2
def test_fetch_metadata_from_dois(self, researcher_lesot):
"""
Fetch metadata from doi
"""
dois = ['10.1016/j.ijar.2017.06.011']
o = OrcidPaperSource()
ref_name = (researcher_lesot.name.first, researcher_lesot.name.last)
papers = list(
o.fetch_metadata_from_dois(ref_name, researcher_lesot.orcid, dois))
assert len(papers) == 1
p = papers[0]
# Lesot is now a researcher of the paper
assert p.authors_list[1]['researcher_id'] == researcher_lesot.pk
# There must be a second OaiRecord
p.cache_oairecords() # Cache is not up to date
assert len(p.oairecords) == 2
def fetch_everything_for_researcher(pk):
orcid_paper_source = OrcidPaperSource(max_results=1000)
r = Researcher.objects.get(pk=pk)
# If it is the first time we fetch this researcher
# if r.stats is None:
# make sure publications already known are also considered
update_researcher_task(r, 'orcid')
try:
orcid_paper_source.link_existing_papers(r)
orcid_paper_source.fetch_and_save(r)
update_researcher_task(r, None)
except MetadataSourceException as e:
raise e
finally:
r = Researcher.objects.get(pk=pk)
update_researcher_task(r, 'stats')
r.update_stats()
r.harvester = None
update_researcher_task(r, None)
def fetch_everything_for_researcher(pk):
sources = [
('orcid', OrcidPaperSource(max_results=1000)),
]
r = Researcher.objects.get(pk=pk)
# If it is the first time we fetch this researcher
# if r.stats is None:
# make sure publications already known are also considered
update_researcher_task(r, 'clustering')
try:
for key, source in sources:
update_researcher_task(r, key)
source.fetch_and_save(r)
update_researcher_task(r, None)
except MetadataSourceException as e:
raise e
finally:
r = Researcher.objects.get(pk=pk)
update_researcher_task(r, 'stats')
r.update_stats()
r.harvester = None
update_researcher_task(r, None)
def setUpClass(self):
super(OrcidIntegrationTest, self).setUpClass()
self.source = OrcidPaperSource()
def setUp(self):
self.source = OrcidPaperSource()
self.researcher = self.r4
def setUpClass(self):
super(StatisticsTest, self).setUpClass()
cr_api = OrcidPaperSource()
cr_api.fetch_and_save(self.r3)