#2 -- create validation method

src/main/java/ru/ulstu/models/exceptions/ModelingException.java

@@ -0,0 +1,7 @@
+package ru.ulstu.models.exceptions;
+
+public class ModelingException extends Exception {
+    public ModelingException(String message) {
+        super(message);
+    }
+}

src/main/java/ru/ulstu/models/exceptions/TimeSeriesValidateException.java

@@ -0,0 +1,7 @@
+package ru.ulstu.models.exceptions;
+
+public class TimeSeriesValidateException extends Exception {
+    public TimeSeriesValidateException(String message) {
+        super(message);
+    }
+}

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

@@ -1,9 +1,12 @@
 package ru.ulstu.services;
 
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
 import org.springframework.stereotype.Service;
 import ru.ulstu.models.Forecast;
 import ru.ulstu.models.TimeSeries;
 import ru.ulstu.models.TimeSeriesValue;
+import ru.ulstu.models.exceptions.TimeSeriesValidateException;
 import ru.ulstu.tsMethods.exponential.NoTrendNoSeason;
 
 import java.time.LocalDate;
@@ -11,6 +14,8 @@ import java.time.LocalDate;
 
 @Service
 public class TimeSeriesService {
+    private static final Logger LOGGER = LoggerFactory.getLogger(TimeSeriesService.class);
+
     public TimeSeries getRandomTimeSeries(int length) {
         TimeSeries ts = new TimeSeries("Random time series");
         LocalDate dateStart = LocalDate.now().minusDays(length);
@@ -22,9 +27,14 @@ public class TimeSeriesService {
     }
 
     public Forecast getForecast(TimeSeries timeSeries, int countForecast) {
-        NoTrendNoSeason nn = new NoTrendNoSeason(timeSeries, countForecast);
-        nn.setAlpa(0.1);
-        nn.createModel();
-        return nn.getForecast();
+        try {
+            NoTrendNoSeason nn = new NoTrendNoSeason(timeSeries);
+            nn.setAlpa(0.1);
+            nn.createModel();
+            return nn.getForecast();
+        } catch (TimeSeriesValidateException ex) {
+            LOGGER.error("Некорректная инициализация метода моделирования", ex);
+            return null;
+        }
     }
 }

src/main/java/ru/ulstu/tsMethods/TimeSeriesMethod.java

@@ -3,6 +3,7 @@ package ru.ulstu.tsMethods;
 import ru.ulstu.models.Forecast;
 import ru.ulstu.models.ModelTimeSeries;
 import ru.ulstu.models.TimeSeries;
+import ru.ulstu.models.exceptions.TimeSeriesValidateException;
 
 import java.util.HashMap;
 import java.util.Map;
@@ -14,7 +15,9 @@ public abstract class TimeSeriesMethod {
     protected int countForecast;
     protected Map<Param, Double> parameters = new HashMap<>();
 
-    protected void init() {
+    protected TimeSeriesMethod(TimeSeries originalTimeSeries) throws TimeSeriesValidateException {
+        validateTimeSeries(originalTimeSeries);
+        this.originalTimeSeries = originalTimeSeries;
         model = new ModelTimeSeries(originalTimeSeries);
         forecast = new Forecast(originalTimeSeries);
     }
@@ -32,4 +35,16 @@ public abstract class TimeSeriesMethod {
     }
 
     public abstract void createModel();
+
+    private void validateTimeSeries(TimeSeries timeSeries) throws TimeSeriesValidateException {
+        if (timeSeries == null || timeSeries.isEmpty()) {
+            throw new TimeSeriesValidateException("Временной ряд должен быть не пустым");
+        }
+        if (timeSeries.getValues().stream().anyMatch(val -> val == null || val.getValue() == null)) {
+            throw new TimeSeriesValidateException("Временной ряд содержит пустые значения");
+        }
+        if (timeSeries.getValues().stream().anyMatch(val -> val.getDate() == null)) {
+            throw new TimeSeriesValidateException("Временной ряд должен иметь отметки времени");
+        }
+    }
 }

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

@@ -1,21 +1,13 @@
 package ru.ulstu.tsMethods.exponential;
 
 import ru.ulstu.models.TimeSeries;
+import ru.ulstu.models.exceptions.TimeSeriesValidateException;
 import ru.ulstu.tsMethods.Param;
 import ru.ulstu.tsMethods.TimeSeriesMethod;
 
 public class NoTrendNoSeason extends TimeSeriesMethod {
-    public NoTrendNoSeason(TimeSeries originalTimeSeries, int countForecast) {
-        this.originalTimeSeries = originalTimeSeries;
-        this.countForecast = countForecast;
-        if (originalTimeSeries.isEmpty()) {
-            throw new RuntimeException("Time series must not empty");
-        }
-    }
-
-    @Override
-    protected void init() {
-        super.init();
+    public NoTrendNoSeason(TimeSeries originalTimeSeries) throws TimeSeriesValidateException {
+        super(originalTimeSeries);
         model.addValue(originalTimeSeries.getValues().get(0));
         forecast.addValue(originalTimeSeries.getValues().get(0));
         parameters.put(Param.ALPHA, 1.0);
@@ -27,7 +19,6 @@ public class NoTrendNoSeason extends TimeSeriesMethod {
 
     @Override
     public void createModel() {
-        init();
         double e;
 
         //выполняется проход модели по сглаживанию и прогнозированию countPointForecast точек