Merge branch 'exponential_smoothing_predictor' into 'morphemic-rc2.0'

Corrections necessary for the appropriate operation of the exponential smoothing predictor

See merge request !280

morphemic-forecasting-exponentialsmoothing/src/r_predictors/forecasting_real_workload.R

@@ -86,8 +86,11 @@ data_to_process <- data_to_process[data_to_process[[time_field_name]]>oldest_acc
 #Fail-safe default
 df1 <- xts(as.numeric(data_to_process[,attribute_to_predict]),anytime(data_to_process[,time_field_name]))
 date_time_init <- anytime(data_to_process[,time_field_name])
-date_time_complete <- seq.POSIXt(from=min(date_time_init),
-                                 to=max(date_time_init),by=time_unit_granularity)
+date_time_complete <- seq.POSIXt(
+  from=as.POSIXct(min(date_time_init),origin = "1970-01-01"),
+  to=as.POSIXct(max(date_time_init),origin = "1970-01-01"),
+  by=time_unit_granularity
+)
 df2 <- merge(df1,xts(,date_time_complete))
 mydata <- na.approx(df2)
 colnames(mydata)<-c(attribute_to_predict)

morphemic-forecasting-exponentialsmoothing/src/runtime/Predictor.py

@@ -147,7 +147,7 @@ def calculate_and_publish_predictions(prediction_horizon,maximum_time_required_f
         try:
             prediction = predict_attributes(State.metrics_to_predict,State.next_prediction_time)
         except Exception as e:
-            print_with_time("Could not create a prediction for some or all of the metrics for time point "+State.next_prediction_time+", proceeding to next prediction time. The encountered exception trace follows:")
+            print_with_time("Could not create a prediction for some or all of the metrics for time point "+str(State.next_prediction_time)+", proceeding to next prediction time. The encountered exception trace follows:")
             print(e)
             continue
         for attribute in State.metrics_to_predict: