return dict
if __name__ == '__main__':
if len(sys.argv) != 2:
print "usage: ./CosSimilarityPlusUserRank.py <file to read json data(tweets)>"
sys.exit(1)
filename = sys.argv[1]
f = file(filename, "r")
tweets = f.readlines()
cosineSimilarity = CosineSimilarity()
userRank = UserRank()
cosSimilarityPlusUserRank = CosSimilarityPlusUserRank()
userIDtoName_map = cosSimilarityPlusUserRank.map_userIDtoName(tweets)
userRank_dict = userRank.main()
preProcessedValues = cosineSimilarity.main(False)
while True:
input_query = raw_input("Enter query: ")
query_terms = cosineSimilarity.split_text(input_query)
query_vector = cosineSimilarity.calculateTFIDFVectorofQueryTerm(
query_terms, preProcessedValues[1], preProcessedValues[2])
final_dict = cosineSimilarity.calc_TFIDFofDocs(query_terms,
preProcessedValues[0],
def getRange():
myCon = get_db();
start = int(request.args['start'])
end = int(request.args['end'])
allUser = UserRank.getRange(myCon, start, end)
return json.dumps(dict(allUser=allUser))
def getRank():
myCon = get_db();
score = int(request.args['score'])
rank = UserRank.getRank(myCon, score)
return json.dumps(dict(rank=rank))
def getUser():
myCon = get_db();
rank = int(request.args['rank'])
uid = UserRank.getUser(myCon, rank)
return json.dumps(dict(uid=uid))
def updateScore():
myCon = get_db();
uid = int(request.args['uid'])
newScore = int(request.args['newScore'])
UserRank.updateScore(myCon, uid, newScore)
return json.dumps(dict(id=1))
