def neessearch(offset=0, limit=100, query_string='', limit_fields=True, *args):
nees_pi_query = Q({
"nested": {
"path": "pis",
"ignore_unmapped": True,
"query": {
"query_string": {
"query": query_string,
"fields": ["pis.firstName", "pis.lastName"],
"lenient": True
}
}
}
})
nees_query_string_query = Q('query_string',
query=query_string,
default_operator='and')
pub_query = IndexedPublicationLegacy.search().filter(
nees_pi_query | nees_query_string_query)
pub_query = pub_query.extra(from_=offset, size=limit)
if limit_fields:
pub_query = pub_query.source(
includes=['project', 'pis', 'title', 'startDate', 'path'])
pub_query = pub_query.sort(
{'created': {
'order': 'desc',
'unmapped_type': 'long'
}})
res = pub_query.execute()
hits = list(map(lambda h: h.to_dict(), res.hits))
return {'listing': hits}
def test_listing(self, mock_search, mock_pub, mock_leg_pub):
fm = PublicationsManager(None)
mock_search().filter().sort().extra().execute.return_value = [
IndexedPublication(projectId='PRJ-XXX'),
IndexedPublicationLegacy()
]
mock_pub().to_file.return_value = {'type': 'pub'}
mock_leg_pub().to_file.return_value = {'type': 'leg_pub'}
res = fm.listing(**{'type_filters': []})
expected_result = {
'trail': [{
'name': '$SEARCH',
'path': '/$SEARCH'
}],
'name': '$SEARCH',
'path': '/',
'system': None,
'type': 'dir',
'children': [{
'type': 'pub'
}, {
'type': 'leg_pub'
}],
'permissions': 'READ'
}
self.assertEqual(res, expected_result)
def test_listing(self, mock_search, mock_pub, mock_leg_pub):
request = MagicMock()
request.query_string = 'test_query'
request.username = '******'
fm = PublicationsSearchManager(request)
mock_search().query().sort().extra().execute.return_value = [
IndexedPublication(projectId='PRJ-XXX'),
IndexedPublicationLegacy()
]
mock_pub().to_file.return_value = {'type': 'pub'}
mock_leg_pub().to_file.return_value = {'type': 'leg_pub'}
res = fm.listing()
expected_result = {
'trail': [{
'name': '$SEARCH',
'path': '/$SEARCH'
}],
'name': '$SEARCH',
'path': '/',
'system': None,
'type': 'dir',
'children': [{
'type': 'pub'
}, {
'type': 'leg_pub'
}],
'permissions': 'READ'
}
self.assertEqual(res, expected_result)
def reindex_nees_projects(*args):
try:
srch = IndexedPublicationLegacy.search()
res = srch.execute()
if res.hits.total > 0:
return
search = PublicProjectIndexed.search()
res = search.execute()
esrch = PublicExperimentIndexed.search()
for pub in search.scan():
pub_dict = pub.to_dict()
pub_dict['path'] = pub_dict['projectPath']
pub_dict.pop('projectPath', '')
pub_dict['system'] = pub_dict['systemId']
pub_dict.pop('systemId', '')
pub_doc = IndexedPublicationLegacy(**pub_dict)
esrch.query = Q('bool',
must=Q({'term': {
'project._exact': pub.name
}}))
esrch.execute()
experiments = []
for exp in esrch.scan():
exp_dict = exp.to_dict()
exp_dict['path'] = exp_dict['experimentPath']
exp_dict.pop('systemId')
exp_dict.pop('experimentPath', '')
exp_dict.pop('project')
experiments.append(exp_dict)
pub_doc.experiments = experiments
pub_doc.save()
except TransportError as exc:
if exc.status_code != 404:
raise
def neeslisting(offset=0, limit=100, limit_fields=True, *args):
pub_query = IndexedPublicationLegacy.search()
pub_query = pub_query.extra(from_=offset, size=limit)
if limit_fields:
pub_query = pub_query.source(
includes=['project', 'pis', 'title', 'startDate', 'path'])
pub_query = pub_query.sort(
{'created': {
'order': 'desc',
'unmapped_type': 'long'
}})
res = pub_query.execute()
hits = list(map(lambda h: h.to_dict(), res.hits))
return {'listing': hits}
def neesdescription(project_id, *args):
pub_query = IndexedPublicationLegacy.search()\
.filter(Q({'term': {'project._exact': project_id}}))\
.source(includes=['description'])
desc = next(hit.description for hit in pub_query.execute().hits)
return {'description': desc}
def to_dataset_json(self):
"""
Serialize project to json for google dataset search
https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/BMNJPS
"""
dataset_json = {
"@context":
"http://schema.org",
"@type":
"Dataset",
"@id":
"",
"identifier":
"",
"logo":
"https://www.designsafe-ci.org/static/images/nsf-designsafe-logo.014999b259f6.png",
"name":
self.title,
"creator": [{
"name": "",
"affiliation": "",
"@id": "",
"identifier": ""
}],
"author": [{
"name": "",
"affiliation": "",
"@id": "",
"identifier": ""
}],
"datePublished":
self.created,
"dateModified":
self.to_body_dict()['lastUpdated'],
"description":
self.description,
"keywords":
self.keywords.split(','),
"license": {
"@type": "Dataset",
"text": ""
},
"publisher": {
"@type": "Organization",
"name": "Designsafe-CI"
},
"provider": {
"@type": "Organization",
"name": "Designsafe-CI"
},
"includedInDataCatalog": {
"@type": "Organization",
"name": "Designsafe-CI",
"url": "https://designsafe-ci.org"
},
}
if self.dois:
dataset_json["distribution"] = {
"@type": "DataDownload",
"name":
self.to_body_dict()['value']['projectId'] + "_archive.zip",
"fileFormat": "application/zip",
"contentSize": "",
"@id": "",
"identifier": ""
}
if self.dois:
dataset_json['@id'] = self.dois[0]
dataset_json['identifier'] = self.dois[0]
else:
related_ents = self.related_entities()
logger.debug(related_ents)
if getattr(self, 'team_order', False):
authors = sorted(self.team_order, key=lambda x: x['order'])
else:
authors = [{
'name': username
} for username in [self.pi] + self.co_pis]
dataset_json['creator'] = generate_creators(authors)
dataset_json['author'] = generate_creators(authors)
try:
pub = IndexedPublication.from_id(self.project_id)
dataset_json['license'] = pub.licenses.works
except (DocumentNotFound, AttributeError):
pass
try:
pub = IndexedPublicationLegacy.from_id(self.project_id)
dataset_json['license'] = pub.licenses.works
except DocumentNotFound:
pass
return dataset_json