def loadBatchResults(request):
if request.method == 'GET':
print '>> loading batch result request...'
current_dir = os.path.dirname(os.path.realpath(__file__))
query = 'virtual reality'
f = os.path.join(current_dir, 'batchresults', query + '.txt')
PubMedParser.load_evidence(f, True, 12)
return HttpResponse(json.dumps({}), status=status.HTTP_200_OK)
def find_neighbors_for_terms(terms, num_neighbors=10, user_id=1):
query = ''
for t in terms:
query += t + ' '
current_dir = os.path.dirname(os.path.realpath(__file__))
f = os.path.join(current_dir, 'queryresults', query + '.txt')
logfile = os.path.join(current_dir, 'queryresults', query + '_log' + '.txt')
query_pubmed(query, f, logfile)
keywords = PubMedParser.extract_repeated_keywords([f], terms, threshold=10)
PubMedParser.load_evidence(f)
sorted_keywords = sorted(keywords.items(), key=operator.itemgetter(1), reverse=True)
num_keywords_all = len(sorted_keywords)
pub_counts = read_counts(logfile)
pub_counts['keyword_count'] = num_keywords_all
pub_counts['showing_count'] = num_neighbors
return {'keywords': sorted_keywords[:num_neighbors], 'log': pub_counts}
def find_evidence_for_terms(terms, skip_no_abstract=False, user_id=1): print '>> finding evidence for terms...' query = ' '.join(terms) current_dir = os.path.dirname(os.path.realpath(__file__)) f = os.path.join(current_dir, 'queryresults', query + '.txt') logfile = os.path.join(current_dir, 'queryresults', query + '_log' + '.txt') query_pubmed(query, f, logfile) return PubMedParser.load_evidence(f, skip_no_abstract)
