def get(self, request, format=None):
terms = json.loads(request.body)['terms']
evidence = PubMedQuerier.find_evidence_for_terms(terms, skip_no_abstract=True)
serialized_json = serializers.serialize('json', evidence)
evidence_json = flattenSerializedJson(serialized_json)
# let's provide topic modeling results in addition to the raw evidence
output = {}
output['evidence'] = json.loads(evidence_json)
evidencePks = [e.pk for e in evidence]
abstracts = [e.abstract for e in evidence]
output['topics'], output['evidenceTopicMap'] = getTopicsForDocuments(evidencePks, abstracts)
return HttpResponse(json.dumps(output), status=status.HTTP_201_CREATED)
def post(self, request, format=None):
params = json.loads(request.body)
terms = params['terms']
user_id = params['user_id']
texts = Text.objects.filter(created_by=user_id)
serialized_json = serializers.serialize('json', texts)
texts_json = flattenSerializedJson(serialized_json)
evidenceCreated = Evidence.objects.filter(created_by=user_id)
evidenceBookmarks = EvidenceBookmark.objects.filter(user_id=user_id)
evidenceBookmarkedIds = [eb.evidence.pk for eb in evidenceBookmarks]
evidenceBookmarked = Evidence.objects.filter(pk__in=evidenceBookmarkedIds)
evidenceRetrieved = PubMedQuerier.find_evidence_for_terms(terms, skip_no_abstract=True)
evidence = chain(evidenceCreated, evidenceBookmarked, evidenceRetrieved)
print '>> serializing evidence...'
serialized_json = serializers.serialize('json', evidence)
print '>> flatten serialized evidence...'
evidence_json = flattenSerializedJson(serialized_json)
# let's provide topic modeling results in addition to the raw evidence
output = {}
print '>> loading evidence into json...'
output['evidence'] = json.loads(evidence_json)
contents = [t.content for t in texts]
textPks = ['t-'+str(t.pk) for t in texts]
abstracts = [e['abstract'] for e in output['evidence']]
evidencePks = ['e-'+str(e['id']) for e in output['evidence']]
if len(evidencePks + textPks) <= 1:
output['topics'] = []
output['evidenceTextTopicMap'] = []
else:
output['topics'], output['evidenceTextTopicMap'] = getTopicsForDocuments(evidencePks + textPks, abstracts + contents)
return HttpResponse(json.dumps(output), status=status.HTTP_201_CREATED)
