def calculateCorrelation(self, company, startDate, timeDelta):
## retreive stock dataset
dataset = {'type' : 'stock_pull', 'symbol' : TICKER_SYMBOL_DICT[company], 'clientname' : 'graphanalysis_test'}
message = json.dumps(dataset)
socket = self.createSocket()
socket.send(message)
message = socket.recv()
rcvd = json.loads(message)
stk = g.graphanalysis(rcvd, 'stock')
stk.interpolate(10)
dataset = {'type' : 'avgSentiment_pull', 'symbol' : TICKER_SYMBOL_DICT[company], 'dateRange' : 'doesntmatter', 'clientname' : 'graphanalysis_test'}
message = json.dumps(dataset)
socket = self.createSocket()
socket.send(message)
message = socket.recv()
rcvd = json.loads(message)
twt = g.graphanalysis(rcvd, 'tweet')
corrCoeff = stk.correlation(twt)
print corrCoeff
return corrCoeff[0][1]
def showCorrelationGraph(self, company, daterange):
## retreive stock dataset
print daterange
dataset = {'type' : 'stock_pull', 'symbol' : company.lower(), 'clientname' : 'graphanalysis_test'}
message = json.dumps(dataset)
socket = self.createSocket()
socket.send(message)
message = socket.recv()
rcvd = json.loads(message)
stk = g.graphanalysis(rcvd, 'stock')
stk.interpolate(10)
dataset = {'type' : 'avgSentiment_pull', 'symbol' : company.lower(), 'dateRange' : 'doesntmatter', 'clientname' : 'graphanalysis_test'}
message = json.dumps(dataset)
socket = self.createSocket()
socket.send(message)
message = socket.recv()
rcvd = json.loads(message)
twt = g.graphanalysis(rcvd, 'tweet')
print twt.starts_within(stk)
print stk.starts_within(twt)
#dt = datetime(int(daterange[0:4]),int(daterange[5:7]),int(daterange[8-10]))
dt = datetime(2013,4,4)
stk.run_plot(8, stk.get_date_loc(dt))
return 0
def showGraph(self, company):
## retreive stock dataset
dataset = {'type' : 'stock_pull', 'symbol' : TICKER_SYMBOL_DICT[company], 'clientname' : 'graphanalysis_test'}
message = json.dumps(dataset)
socket = self.createSocket()
socket.send(message)
message = socket.recv()
rcvd = json.loads(message)
stk = g.graphanalysis(rcvd, 'stock')
stk.interpolate(10)
stk.run_plot()
## retreive tweet dataset
#dataset = {'type' : 'avgSentiment_pull', 'symbol' : TICKER_SYMBOL_DICT[company], 'dateRange' : 'doesntmatter', 'clientname' : 'graphanalysis_test'}
#message = json.dumps(dataset)
#socket.send(message)
#message = socket.recv()
#rcvd = json.loads(message)
#twt = g.graphanalysis(rcvd, 'tweet')
#twt.run_plot()
#stk.run_plot(twt.length(), stk.starts_within(twt))
## done
return 0
def showTweetGraph(self, company, daterange):
print daterange
dataset = {'type' : 'avgSentiment_pull', 'symbol' : company.lower(), 'dateRange' : 'doesntmatter', 'clientname' : 'graphanalysis_test'}
message = json.dumps(dataset)
socket = self.createSocket()
socket.send(message)
message = socket.recv()
rcvd = json.loads(message)
twt = g.graphanalysis(rcvd, 'tweet')
#dt = datetime(2013,4,4)
twt.run_plot()
return 0
def showTweetGraph(self, company, startDate, timeDelta):
dataset = {'type' : 'avgSentiment_pull', 'symbol' : TICKER_SYMBOL_DICT[company], 'dateRange' : 'doesntmatter', 'clientname' : 'graphanalysis_test'}
message = json.dumps(dataset)
socket = self.createSocket()
socket.send(message)
message = socket.recv()
rcvd = json.loads(message)
twt = g.graphanalysis(rcvd, 'tweet')
twt.interpolate(10)
twt.run_plot(timeDelta, twt.get_date_loc(startDate))
#twt.run_plot()
return 0
def showStockGraph(self, company, startDate, timeDelta):
## retreive stock dataset
dataset = {'type' : 'stock_pull', 'symbol' : TICKER_SYMBOL_DICT[company], 'clientname' : 'graphanalysis_test'}
message = json.dumps(dataset)
socket = self.createSocket()
socket.send(message)
message = socket.recv()
rcvd = json.loads(message)
stk = g.graphanalysis(rcvd, 'stock')
stk.interpolate(10)
stk.run_plot(timeDelta, stk.get_date_loc(startDate))
return 0
def showStockGraph(self, company, daterange):
## retreive stock dataset
print daterange
dataset = {'type' : 'stock_pull', 'symbol' : TICKER_SYMBOL_DICT[company], 'clientname' : 'graphanalysis_test'}
message = json.dumps(dataset)
socket = self.createSocket()
socket.send(message)
message = socket.recv()
rcvd = json.loads(message)
stk = g.graphanalysis(rcvd, 'stock')
stk.interpolate(10)
#dt = datetime(2013,4,4)
stk.run_plot()
return 0
