def getBlog(self, filter):
conn = solr.SolrConnection('http://localhost:8983/solr')
print filter
parsedFilter = SearchFilter()
parsedFilter.decode(filter)
print parsedFilter.toSolr()
response = conn.query(**(parsedFilter.toSolr()))
conn.close()
return [hit['link'] for hit in response.results]
def getBlog(self, filter):
conn = solr.SolrConnection('http://localhost:8983/solr')
print filter
parsedFilter = SearchFilter()
parsedFilter.decode(filter)
print parsedFilter.toSolr()
response = conn.query(**(parsedFilter.toSolr()))
conn.close()
return [hit['link'] for hit in response.results]
def getBlogPost(self, filter):
conn = solr.SolrConnection('http://localhost:8983/solr')
print filter
parsedFilter = SearchFilter()
parsedFilter.decode(filter)
params = parsedFilter.toSolr()
params['q'] = params['q'] + " sentiment:[0.75 TO 1.0]"
good_response = conn.query(**(params))
params = parsedFilter.toSolr()
params['q'] = params['q'] + " sentiment:[0.0 TO 0.25]"
bad_response = conn.query(**(params))
conn.close()
goodText = ""
badText = ""
results = good_response.results + bad_response.results
for hit in results:
if hit['sentiment'] == True:
goodText += hit['content']
elif hit['sentiment'] == False:
badText += hit['content']
q, p = ngrams.main(goodText, badText, ngrams.getWordsForDisplay)
return (q, p, [(hit['title'], hit['content'], hit['sentiment']) for hit in results if hit['content']])
def getBlogPost(self, filter):
conn = solr.SolrConnection('http://localhost:8983/solr')
print filter
parsedFilter = SearchFilter()
parsedFilter.decode(filter)
params = parsedFilter.toSolr()
params['q'] = params['q'] + " sentiment:[0.75 TO 1.0]"
good_response = conn.query(**(params))
params = parsedFilter.toSolr()
params['q'] = params['q'] + " sentiment:[0.0 TO 0.25]"
bad_response = conn.query(**(params))
conn.close()
goodText = ""
badText = ""
results = good_response.results + bad_response.results
for hit in results:
if hit['sentiment'] == True:
goodText += hit['content']
elif hit['sentiment'] == False:
badText += hit['content']
q, p = ngrams.main(goodText, badText, ngrams.getWordsForDisplay)
return (q, p, [(hit['title'], hit['content'], hit['sentiment'])
for hit in results if hit['content']])
