def process(self, request):
model = request['model']
pdHandler = PrometheusDataHandler(model)
data = pdHandler.get_data()
# Example of using a fileHandler
# csv_values = FileHandler('../data/exchange.csv').get_data()
# prediction = pred.arima(csv_values[0:-1-i], 1+i)
for ip in data:
# values is a tuple (time, workload)
values = data[ip]
pred = Predictor()
prediction = pred.get_prediction(values, model)
self.data_[ip] = prediction[-1]
