fix season

src/main/java/ru/ulstu/services/MethodParamBruteForce.java

@@ -1,8 +1,6 @@
 /*
- *
+ * Copyright (C) 2021 Anton Romanov - All Rights Reserved
- *  * Copyright (C) 2021 Anton Romanov - All Rights Reserved
+ * You may use, distribute and modify this code, please write to: romanov73@gmail.com.
- *  * You may use, distribute and modify this code, please write to: romanov73@gmail.com.
- *
  *
  */
 
@@ -26,10 +24,11 @@ import java.util.TreeMap;
 import java.util.concurrent.CopyOnWriteArrayList;
 import java.util.concurrent.ExecutorService;
 import java.util.concurrent.Executors;
+import java.util.concurrent.Future;
 
 @Service
 public class MethodParamBruteForce {
-    private final int DEFAULT_THREAD_COUNT = 10;
+    private final int DEFAULT_THREAD_COUNT = 50;
     private final List<TimeSeriesMethod> methods;
     private final ScoreMethod scoreMethod = new Smape();
     private final ExecutorService executors = Executors.newFixedThreadPool(DEFAULT_THREAD_COUNT);
@@ -47,45 +46,37 @@ public class MethodParamBruteForce {
     }
 
     public ModelingResult getSmoothedTimeSeries(TimeSeries timeSeries) throws ModelingException {
-        //List<Future<ModelingResult>> results = new ArrayList<>();
+        List<Future<ModelingResult>> results = new ArrayList<>();
         List<ModelingResult> results2 = new CopyOnWriteArrayList<>();
-        for (TimeSeriesMethod method : methods) {
-            List<List<TimeSeriesMethodParamValue>> availableParametersValues = getAvailableParametersValues(method.getAvailableParameters());
-            for (List<TimeSeriesMethodParamValue> parametersValues : availableParametersValues) {
-                /*results.add(executors.submit(() -> {
-                    TimeSeries model = method.createFor(timeSeries)
-                            .setAvailableParameters(parametersValues)
-                            .getModel();
-                    return new ModelingResult(model, parametersValues, scoreMethod.getScore(timeSeries, model));
-                }));*/
-
-                TimeSeries model = method.createFor(timeSeries)
-                        .setAvailableParameters(parametersValues)
-                        .getModel();
-                results2.add(new ModelingResult(model,
-                        parametersValues,
-                        scoreMethod.getScore(timeSeries, model),
-                        method));
-            }
-        }
         try {
-            /*results.forEach(modelingResultFuture -> {
+            for (TimeSeriesMethod method : methods) {
+                List<List<TimeSeriesMethodParamValue>> availableParametersValues = getAvailableParametersValues(method.getAvailableParameters());
+                for (List<TimeSeriesMethodParamValue> parametersValues : availableParametersValues) {
+                    results.add(executors.submit(() -> {
+                        TimeSeriesMethod methodInstance = method.getClass().getDeclaredConstructor().newInstance();
+                        TimeSeries model = methodInstance.createFor(timeSeries)
+                                .setAvailableParameters(parametersValues)
+                                .getModel();
+                        return new ModelingResult(model, parametersValues, scoreMethod.getScore(timeSeries, model), methodInstance);
+                    }));
+                }
+            }
+            results.forEach(modelingResultFuture -> {
                 try {
                     modelingResultFuture.get();
                 } catch (Exception e) {
                     e.printStackTrace();
                 }
             });
-            for (Future<ModelingResult> futureModelingResult: results) {
+            for (Future<ModelingResult> futureModelingResult : results) {
                 results2.add(futureModelingResult.get());
-            }*/
+            }
             return results2.stream()
                     .min(Comparator.comparing(modelingResult -> modelingResult.getScore().getDoubleValue()))
                     .orElse(null);
         } catch (Exception e) {
-            e.printStackTrace();
+            throw new ModelingException(e.getMessage());
         }
-        return null;
     }
 
     private List<List<TimeSeriesMethodParamValue>> getAvailableParametersValues(List<MethodParameter> availableParameters) {
@@ -116,7 +107,7 @@ public class MethodParamBruteForce {
             if (parameterOffset.get(parameters.get(i)) == parameterValues.get(parameters.get(i)).size() - 1) {
                 parameterOffset.put(parameters.get(i), 0);
                 i++;
-                //continue;
+                continue;
             }
             if (parameterOffset.get(parameters.get(i)) < parameterValues.get(parameters.get(i)).size()) {
                 parameterOffset.put(parameters.get(i), parameterOffset.get(parameters.get(i)) + 1);

src/main/java/ru/ulstu/tsMethods/exponential/AddTrendAddSeason.java

@@ -1,13 +1,12 @@
 /*
- *
+ * Copyright (C) 2021 Anton Romanov - All Rights Reserved
- *  * Copyright (C) 2021 Anton Romanov - All Rights Reserved
+ * You may use, distribute and modify this code, please write to: romanov73@gmail.com.
- *  * You may use, distribute and modify this code, please write to: romanov73@gmail.com.
- *
  *
  */
 
 package ru.ulstu.tsMethods.exponential;
 
+import org.springframework.stereotype.Component;
 import ru.ulstu.models.TimeSeries;
 import ru.ulstu.models.exceptions.ModelingException;
 import ru.ulstu.models.exceptions.TimeSeriesValidateException;
@@ -24,6 +23,7 @@ import java.util.ArrayList;
 import java.util.Arrays;
 import java.util.List;
 
+@Component
 public class AddTrendAddSeason extends TimeSeriesMethod {
     private ExponentialMethodParamValue<Alpha> alpha = new ExponentialMethodParamValue<>(Alpha.getInstance(), 0.5);
     private ExponentialMethodParamValue<Beta> beta = new ExponentialMethodParamValue<>(Beta.getInstance(), 0.5);
@@ -107,12 +107,13 @@ public class AddTrendAddSeason extends TimeSeriesMethod {
 
     @Override
     protected TimeSeries makeForecast(TimeSeries forecast) throws ModelingException {
+        TimeSeries model = getModel();
         for (int t = 1; t < forecast.getLength(); t++) {
             iComponent.add(gamma.getDoubleValue() * forecast.getNumericValue(t - 1) / sComponent.get(sComponent.size() - 1)
-                    + (1 - gamma.getDoubleValue()) * iComponent.get(t + getModel().getLength() - season.getIntValue()));
+                    + (1 - gamma.getDoubleValue()) * iComponent.get(t + model.getLength() - season.getIntValue()));
 
             forecast.getValues().get(t).setValue((sComponent.get(sComponent.size() - 1) + tComponent.get(tComponent.size() - 1) * t)
-                    * iComponent.get(t + getModel().getLength() - season.getIntValue()));
+                    * iComponent.get(t + model.getLength() - season.getIntValue()));
         }
         return forecast;
     }

src/main/java/ru/ulstu/tsMethods/exponential/NoTrendNoSeason.java

@@ -1,13 +1,12 @@
 /*
- *
+ * Copyright (C) 2021 Anton Romanov - All Rights Reserved
- *  * Copyright (C) 2021 Anton Romanov - All Rights Reserved
+ * You may use, distribute and modify this code, please write to: romanov73@gmail.com.
- *  * You may use, distribute and modify this code, please write to: romanov73@gmail.com.
- *
  *
  */
 
 package ru.ulstu.tsMethods.exponential;
 
+import org.springframework.stereotype.Component;
 import ru.ulstu.models.TimeSeries;
 import ru.ulstu.tsMethods.MethodParameter;
 import ru.ulstu.tsMethods.TimeSeriesMethod;
@@ -19,7 +18,7 @@ import java.util.ArrayList;
 import java.util.Collections;
 import java.util.List;
 
-
+@Component
 public class NoTrendNoSeason extends TimeSeriesMethod {
     private ExponentialMethodParamValue<Alpha> alpha = new ExponentialMethodParamValue<>(Alpha.getInstance(), 0.5);
     private final List<Double> sComponent = new ArrayList<>();

src/main/java/ru/ulstu/tsMethods/exponential/parameter/Season.java

@@ -1,8 +1,6 @@
 /*
- *
+ * Copyright (C) 2021 Anton Romanov - All Rights Reserved
- *  * Copyright (C) 2021 Anton Romanov - All Rights Reserved
+ * You may use, distribute and modify this code, please write to: romanov73@gmail.com.
- *  * You may use, distribute and modify this code, please write to: romanov73@gmail.com.
- *
  *
  */
 
@@ -12,7 +10,7 @@ public class Season extends ExponentialMethodParameter {
     private final static int DEFAULT_SEASON_OPTIMIZATION_STEP = 1;
 
     public Season() {
-        super("Сезонность", 0, 12, DEFAULT_SEASON_OPTIMIZATION_STEP);
+        super("Сезонность", 1, 12, DEFAULT_SEASON_OPTIMIZATION_STEP);
     }
 
     public static Season getInstance() {