3-add-f-transform #4

Merged
romanov73 merged 3 commits from 3-f-transform into master 2022-04-19 22:20:08 +04:00
17 changed files with 317 additions and 43 deletions

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@ -55,45 +55,33 @@ public class IndexController {
return "index"; return "index";
} }
@GetMapping("/method")
public String method(Model model) throws IOException {
model.addAttribute("sets", dbService.getSets());
model.addAttribute("methods", timeSeriesService.getAvailableMethods());
model.addAttribute("chartForm", new ChartForm());
return "method";
}
@GetMapping("chartMethod")
public String chartMethod(@ModelAttribute ChartForm chartForm, Model model) throws IOException, ModelingException, ExecutionException, InterruptedException, InvocationTargetException, NoSuchMethodException, InstantiationException, IllegalAccessException {
model.addAttribute("sets", dbService.getSets());
model.addAttribute("methods", timeSeriesService.getAvailableMethods());
if (chartForm.getSet() != null && !chartForm.getSet().getKey().equals("")) {
model.addAttribute("listTimeSeries", dbService.getTimeSeriesMeta(chartForm.getSet()));
}
if (chartForm.getTimeSeriesMeta() != null
&& chartForm.getTimeSeriesMeta().getKey() != null
&& !chartForm.getTimeSeriesMeta().getKey().isEmpty()
&& chartForm.getMethodClassName() != null
&& !chartForm.getMethodClassName().equals("")) {
addChartToModel(dbService.getTimeSeries(chartForm.getSet(), chartForm.getTimeSeriesMeta().getKey()), chartForm.getMethodClassName(), model);
}
return "method";
}
private void addChartToModel(TimeSeries timeSeries, String method, Model model) throws ExecutionException, InterruptedException, InvocationTargetException, NoSuchMethodException, InstantiationException, IllegalAccessException, ModelingException { private void addChartToModel(TimeSeries timeSeries, String method, Model model) throws ExecutionException, InterruptedException, InvocationTargetException, NoSuchMethodException, InstantiationException, IllegalAccessException, ModelingException {
int countForecastPoints = timeSeries.getLength() > 20 ? 10 : timeSeries.getLength() / 3; int countForecastPoints = timeSeries.getLength() > 20 ? 10 : timeSeries.getLength() / 3;
TimeSeries timeSeriesModel = timeSeriesService.smoothTimeSeries(timeSeries).getTimeSeries(); TimeSeries timeSeriesModel;
ModelingResult modelingResult; ModelingResult modelingResult;
if (method == null) { if (method == null) {
timeSeriesModel = timeSeriesService.smoothTimeSeries(timeSeries).getTimeSeries();
modelingResult = timeSeriesService.getForecast(timeSeries, countForecastPoints); modelingResult = timeSeriesService.getForecast(timeSeries, countForecastPoints);
} else { } else {
timeSeriesModel = timeSeriesService.smoothTimeSeries(timeSeries, method).getTimeSeries();
modelingResult = timeSeriesService.getForecast(timeSeries, method, countForecastPoints); modelingResult = timeSeriesService.getForecast(timeSeries, method, countForecastPoints);
} }
TimeSeries forecast = modelingResult.getTimeSeries(); TimeSeries forecast = modelingResult.getTimeSeries();
TimeSeries testForecast = modelingResult.getTestForecast(); TimeSeries testForecast = modelingResult.getTestForecast();
model.addAttribute("dates", getDatesForChart(timeSeries, forecast)); model.addAttribute("dates", getDatesForChart(timeSeries, forecast));
model.addAttribute("timeSeries", timeSeries.getValues().stream().map(TimeSeriesValue::getValue).toArray()); model.addAttribute("timeSeries", timeSeries.getValues().stream().map(TimeSeriesValue::getValue).toArray());
model.addAttribute("model", timeSeriesModel.getValues().stream().map(TimeSeriesValue::getValue).toArray()); // если временной ряд был сжат моделью, то для графика нужно вставить пустые значения
TimeSeries modelWithSkips = new TimeSeries(timeSeriesModel.getKey());
int j = 0;
for (int i = 0; i < timeSeries.getLength(); i++) {
if (timeSeries.getValue(i).getDate().equals(timeSeriesModel.getValue(j).getDate())) {
modelWithSkips.addValue(timeSeriesModel.getValue(j));
j++;
} else {
modelWithSkips.addValue(new TimeSeriesValue((Double) null));
}
}
model.addAttribute("model", modelWithSkips.getValues().stream().map(TimeSeriesValue::getValue).toArray());
timeSeries.getValues().remove(timeSeries.getValues().size() - 1); timeSeries.getValues().remove(timeSeries.getValues().size() - 1);
List<Double> forecastValues = timeSeries.getValues().stream().map(v -> (Double) null).collect(Collectors.toList()); List<Double> forecastValues = timeSeries.getValues().stream().map(v -> (Double) null).collect(Collectors.toList());
@ -119,4 +107,29 @@ public class IndexController {
.collect(Collectors.toList()); .collect(Collectors.toList());
} }
@GetMapping("/method")
public String method(Model model) throws IOException {
model.addAttribute("sets", dbService.getSets());
model.addAttribute("methods", timeSeriesService.getAvailableMethods());
model.addAttribute("chartForm", new ChartForm());
return "method";
}
@GetMapping("chartMethod")
public String chartMethod(@ModelAttribute ChartForm chartForm, Model model) throws IOException, ModelingException, ExecutionException, InterruptedException, InvocationTargetException, NoSuchMethodException, InstantiationException, IllegalAccessException {
model.addAttribute("sets", dbService.getSets());
model.addAttribute("methods", timeSeriesService.getAvailableMethods());
if (chartForm.getSet() != null && !chartForm.getSet().getKey().equals("")) {
model.addAttribute("listTimeSeries", dbService.getTimeSeriesMeta(chartForm.getSet()));
}
if (chartForm.getTimeSeriesMeta() != null
&& chartForm.getTimeSeriesMeta().getKey() != null
&& !chartForm.getTimeSeriesMeta().getKey().isEmpty()
&& chartForm.getMethodClassName() != null
&& !chartForm.getMethodClassName().equals("")) {
addChartToModel(dbService.getTimeSeries(chartForm.getSet(), chartForm.getTimeSeriesMeta().getKey()), chartForm.getMethodClassName(), model);
}
return "method";
}
} }

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@ -35,6 +35,7 @@ public class DbFileService implements DbService {
createDbIfNotExists(); createDbIfNotExists();
return Arrays.stream(Objects.requireNonNull(new File(timeSeriesDbPath).listFiles(File::isDirectory))) return Arrays.stream(Objects.requireNonNull(new File(timeSeriesDbPath).listFiles(File::isDirectory)))
.map(TimeSeriesSet::new) .map(TimeSeriesSet::new)
.sorted()
.collect(Collectors.toList()); .collect(Collectors.toList());
} }
@ -47,7 +48,7 @@ public class DbFileService implements DbService {
.readValue(Paths.get(getSetPath(timeSeriesSet).getAbsolutePath(), file.getName()) .readValue(Paths.get(getSetPath(timeSeriesSet).getAbsolutePath(), file.getName())
.toFile(), TimeSeriesMeta.class)); .toFile(), TimeSeriesMeta.class));
} }
return list; return list.stream().sorted().collect(Collectors.toList());
} }
@Override @Override

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@ -2,7 +2,7 @@ package ru.ulstu.db.model;
import ru.ulstu.datamodel.ts.TimeSeries; import ru.ulstu.datamodel.ts.TimeSeries;
public class TimeSeriesMeta { public class TimeSeriesMeta implements Comparable<TimeSeriesMeta> {
private String key; private String key;
private int size; private int size;
private boolean hasDateTime; private boolean hasDateTime;
@ -31,4 +31,9 @@ public class TimeSeriesMeta {
public boolean isHasDateTime() { public boolean isHasDateTime() {
return hasDateTime; return hasDateTime;
} }
@Override
public int compareTo(TimeSeriesMeta o) {
return o != null ? key.compareTo(o.getKey()) : 0;
}
} }

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@ -2,7 +2,7 @@ package ru.ulstu.db.model;
import java.io.File; import java.io.File;
public class TimeSeriesSet { public class TimeSeriesSet implements Comparable<TimeSeriesSet> {
private final String key; private final String key;
public TimeSeriesSet(File dir) { public TimeSeriesSet(File dir) {
@ -16,4 +16,9 @@ public class TimeSeriesSet {
public String getKey() { public String getKey() {
return key; return key;
} }
@Override
public int compareTo(TimeSeriesSet o) {
return o != null ? key.compareTo(o.getKey()) : 0;
}
} }

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@ -16,4 +16,12 @@ public class MethodParamValue {
public Number getValue() { public Number getValue() {
return value; return value;
} }
public Integer getIntValue() {
return value.intValue();
}
public void setValue(Number value) {
this.value = value;
}
} }

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@ -1,8 +1,10 @@
package ru.ulstu.method; package ru.ulstu.method;
import ru.ulstu.datamodel.ts.TimeSeries;
import java.util.List; import java.util.List;
public abstract class MethodParameter implements Comparable { public abstract class MethodParameter implements Comparable<MethodParameter> {
protected String name; protected String name;
public MethodParameter(String name) { public MethodParameter(String name) {
@ -13,10 +15,10 @@ public abstract class MethodParameter implements Comparable {
return name; return name;
} }
public abstract List<Number> getAvailableValues(); public abstract List<Number> getAvailableValues(TimeSeries timeSeries);
@Override @Override
public int compareTo(Object o) { public int compareTo(MethodParameter o) {
return this.name.compareTo(((MethodParameter) o).getName()); return this.name.compareTo(o.getName());
} }
} }

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@ -1,5 +1,6 @@
package ru.ulstu.method.exponential.addtrendaddseason; package ru.ulstu.method.exponential.addtrendaddseason;
import ru.ulstu.datamodel.Model;
import ru.ulstu.datamodel.ts.TimeSeries; import ru.ulstu.datamodel.ts.TimeSeries;
import ru.ulstu.method.MethodParamValue; import ru.ulstu.method.MethodParamValue;
import ru.ulstu.method.MethodParameter; import ru.ulstu.method.MethodParameter;
@ -13,7 +14,7 @@ import java.util.ArrayList;
import java.util.Arrays; import java.util.Arrays;
import java.util.List; import java.util.List;
public class AddTrendAddSeasonModel extends ru.ulstu.datamodel.Model { public class AddTrendAddSeasonModel extends Model {
private final ExponentialMethodParamValue<Alpha> alpha = new ExponentialMethodParamValue<>(Alpha.getInstance(), 0.5); private final ExponentialMethodParamValue<Alpha> alpha = new ExponentialMethodParamValue<>(Alpha.getInstance(), 0.5);
private final ExponentialMethodParamValue<Beta> beta = new ExponentialMethodParamValue<>(Beta.getInstance(), 0.5); private final ExponentialMethodParamValue<Beta> beta = new ExponentialMethodParamValue<>(Beta.getInstance(), 0.5);
private final ExponentialMethodParamValue<Gamma> gamma = new ExponentialMethodParamValue<>(Gamma.getInstance(), 0.5); private final ExponentialMethodParamValue<Gamma> gamma = new ExponentialMethodParamValue<>(Gamma.getInstance(), 0.5);

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@ -1,5 +1,6 @@
package ru.ulstu.method.exponential.addtrendnoseason; package ru.ulstu.method.exponential.addtrendnoseason;
import ru.ulstu.datamodel.Model;
import ru.ulstu.datamodel.ts.TimeSeries; import ru.ulstu.datamodel.ts.TimeSeries;
import ru.ulstu.method.MethodParamValue; import ru.ulstu.method.MethodParamValue;
import ru.ulstu.method.MethodParameter; import ru.ulstu.method.MethodParameter;
@ -11,7 +12,7 @@ import java.util.ArrayList;
import java.util.Arrays; import java.util.Arrays;
import java.util.List; import java.util.List;
public class AddTrendNoSeasonModel extends ru.ulstu.datamodel.Model { public class AddTrendNoSeasonModel extends Model {
private final ExponentialMethodParamValue<Alpha> alpha = new ExponentialMethodParamValue<>(Alpha.getInstance(), 0.5); private final ExponentialMethodParamValue<Alpha> alpha = new ExponentialMethodParamValue<>(Alpha.getInstance(), 0.5);
private final ExponentialMethodParamValue<Beta> beta = new ExponentialMethodParamValue<>(Beta.getInstance(), 0.5); private final ExponentialMethodParamValue<Beta> beta = new ExponentialMethodParamValue<>(Beta.getInstance(), 0.5);
private final List<Double> smoothedComponent = new ArrayList<>(); private final List<Double> smoothedComponent = new ArrayList<>();

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@ -1,5 +1,6 @@
package ru.ulstu.method.exponential.notrendnoseason; package ru.ulstu.method.exponential.notrendnoseason;
import ru.ulstu.datamodel.Model;
import ru.ulstu.datamodel.ts.TimeSeries; import ru.ulstu.datamodel.ts.TimeSeries;
import ru.ulstu.method.MethodParamValue; import ru.ulstu.method.MethodParamValue;
import ru.ulstu.method.MethodParameter; import ru.ulstu.method.MethodParameter;
@ -10,7 +11,7 @@ import java.util.ArrayList;
import java.util.Collections; import java.util.Collections;
import java.util.List; import java.util.List;
public class NoTrendNoSeasonModel extends ru.ulstu.datamodel.Model { public class NoTrendNoSeasonModel extends Model {
private final ExponentialMethodParamValue<Alpha> alpha = new ExponentialMethodParamValue<>(Alpha.getInstance(), 0.5); private final ExponentialMethodParamValue<Alpha> alpha = new ExponentialMethodParamValue<>(Alpha.getInstance(), 0.5);
private final List<Double> smoothedComponent = new ArrayList<>(); private final List<Double> smoothedComponent = new ArrayList<>();

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@ -1,6 +1,7 @@
package ru.ulstu.method.exponential.parameter; package ru.ulstu.method.exponential.parameter;
import com.fasterxml.jackson.annotation.JsonIgnore; import com.fasterxml.jackson.annotation.JsonIgnore;
import ru.ulstu.datamodel.ts.TimeSeries;
import ru.ulstu.method.MethodParameter; import ru.ulstu.method.MethodParameter;
import java.util.ArrayList; import java.util.ArrayList;
@ -35,7 +36,7 @@ public abstract class ExponentialMethodParameter extends MethodParameter {
@Override @Override
@JsonIgnore @JsonIgnore
public List<Number> getAvailableValues() { public List<Number> getAvailableValues(TimeSeries timeSeries) {
List<Number> values = new ArrayList<>(); List<Number> values = new ArrayList<>();
for (double i = minValue.doubleValue(); i <= maxValue.doubleValue(); i += optimizationStep.doubleValue()) { for (double i = minValue.doubleValue(); i <= maxValue.doubleValue(); i += optimizationStep.doubleValue()) {
values.add(i); values.add(i);

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@ -0,0 +1,57 @@
package ru.ulstu.method.ftransform;
/**
* Треугольная функция принадлежности
*/
public class AComponent {
private int start; // левая граница треугольника
private int end; // правая граница треугольника
private int top; // вершина треугольника
public int getStart() {
return start;
}
public AComponent() {
}
public AComponent(int start, int top, int end) {
this.start = start;
this.top = top;
this.end = end;
}
public void setStart(int start) {
this.start = start;
}
public int getEnd() {
return end;
}
public void setEnd(int end) {
this.end = end;
}
public int getTop() {
return top;
}
public void setTop(int top) {
this.top = top;
}
public double getValueAtPoint(int pointIndex) {
if (pointIndex == this.getTop()) {
return 1;
} else if ((pointIndex >= this.getEnd()) || (pointIndex <= this.getStart())) {
return 0;
} else if (pointIndex < this.getTop()) {
return (double) (pointIndex - this.getStart()) / (this.getTop() - this.getStart());
} else if (pointIndex > this.getTop()) {
return (double) -(pointIndex - this.getEnd()) / (this.getEnd() - this.getTop());
}
return 0;
}
}

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@ -0,0 +1,87 @@
package ru.ulstu.method.ftransform;
import org.springframework.stereotype.Component;
import ru.ulstu.datamodel.Model;
import ru.ulstu.datamodel.ts.TimeSeries;
import ru.ulstu.method.Method;
import ru.ulstu.method.MethodParamValue;
import ru.ulstu.method.MethodParameter;
import java.util.List;
@Component
public class FTransform extends Method {
@Override
protected FTransformModel getModelOfValidTimeSeries(TimeSeries ts,
List<MethodParamValue> parameters) {
FTransformModel model = new FTransformModel(ts, parameters);
List<AComponent> aComponents = generateAComponents(ts, model.getNumberOfCoveredPoints().getIntValue(), model.getAComponents());
TimeSeries piecewiseLinearTrend = model.getPiecewiseLinearTrend();
TimeSeries tsModel = model.getTimeSeriesModel();
for (AComponent aComponent : aComponents) {
double sum1 = 0;
double sum2 = 0;
for (int j = 0; j < ts.getLength(); j++) {
double membership = aComponent.getValueAtPoint(j);
sum1 += membership * ts.getNumericValue(j);
sum2 += membership;
}
piecewiseLinearTrend.addValue(ts.getValue(aComponent.getTop()), sum1 / sum2);
tsModel.addValue(ts.getValue(aComponent.getTop()), sum1 / sum2);
}
return model;
}
private List<AComponent> generateAComponents(TimeSeries ts, int numberOfCoveredPoints, List<AComponent> piecewiseLinearTrend) {
long deltaForTriangle = Math.round(numberOfCoveredPoints / 2.0);
int currentPoint = 0;
while (currentPoint < ts.getLength()) {
int startPoint = (currentPoint == 0)
? 0
: piecewiseLinearTrend.get(piecewiseLinearTrend.size() - 1).getTop();
AComponent bf = new AComponent(startPoint, currentPoint, (int) (currentPoint + Math.round(numberOfCoveredPoints / 2.0)));
if (bf.getStart() < 0) {
bf.setStart(0);
}
if (bf.getEnd() > ts.getLength() - 1) {
bf.setEnd(ts.getLength() - 1);
}
if (bf.getTop() > ts.getLength() - 1) {
bf.setTop(ts.getLength() - 1);
}
piecewiseLinearTrend.add(bf);
currentPoint += deltaForTriangle;
}
if (piecewiseLinearTrend.get(piecewiseLinearTrend.size() - 1).getEnd() != piecewiseLinearTrend.get(piecewiseLinearTrend.size() - 1).getTop()) {
AComponent bf = new AComponent(piecewiseLinearTrend.get(piecewiseLinearTrend.size() - 1).getTop(),
piecewiseLinearTrend.get(piecewiseLinearTrend.size() - 1).getEnd(),
piecewiseLinearTrend.get(piecewiseLinearTrend.size() - 1).getEnd());
piecewiseLinearTrend.add(bf);
}
return piecewiseLinearTrend;
}
@Override
protected TimeSeries getForecastWithValidParams(Model model, TimeSeries forecast) {
FTransformModel fTransformModel = (FTransformModel) model;
for (int t = 1; t < forecast.getLength(); t++) {
forecast.getValues().get(t).setValue(fTransformModel.getPiecewiseLinearTrend().getLastValue().getValue());
}
return forecast;
}
@Override
public List<MethodParameter> getAvailableParameters() {
return FTransformModel.getAvailableParameters();
}
@Override
public String getName() {
return "F - преобразование";
}
}

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@ -0,0 +1,43 @@
package ru.ulstu.method.ftransform;
import ru.ulstu.datamodel.Model;
import ru.ulstu.datamodel.ts.TimeSeries;
import ru.ulstu.method.MethodParamValue;
import ru.ulstu.method.MethodParameter;
import ru.ulstu.method.ftransform.parameter.NumberOfCoveredPoints;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
public class FTransformModel extends Model {
private final MethodParamValue numberOfCoveredPoints = new MethodParamValue(NumberOfCoveredPoints.getInstance(), 3);
private final List<AComponent> aComponents = new ArrayList<>();
private final TimeSeries piecewiseLinearTrend;
public FTransformModel(TimeSeries ts, List<MethodParamValue> parameters) {
super(ts);
piecewiseLinearTrend = new TimeSeries("Piecewise linear trend of ", ts.getKey());
for (MethodParamValue parameter : parameters) {
if (parameter.getParameter() instanceof NumberOfCoveredPoints) {
numberOfCoveredPoints.setValue(parameter.getValue());
}
}
}
public TimeSeries getPiecewiseLinearTrend() {
return piecewiseLinearTrend;
}
public List<AComponent> getAComponents() {
return aComponents;
}
public MethodParamValue getNumberOfCoveredPoints() {
return numberOfCoveredPoints;
}
public static List<MethodParameter> getAvailableParameters() {
return Collections.singletonList(NumberOfCoveredPoints.getInstance());
}
}

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@ -0,0 +1,29 @@
package ru.ulstu.method.ftransform.parameter;
import ru.ulstu.datamodel.ts.TimeSeries;
import ru.ulstu.method.MethodParameter;
import java.util.ArrayList;
import java.util.List;
public class NumberOfCoveredPoints extends MethodParameter {
private final static int MIN_NUMBER_OF_COVERED_POINTS = 3;
private final static int MIN_INCREASING_STEP_OF_NUMBER_OF_COVERED_POINTS = 2;
public NumberOfCoveredPoints() {
super("Number of covered points");
}
public static NumberOfCoveredPoints getInstance() {
return new NumberOfCoveredPoints();
}
@Override
public List<Number> getAvailableValues(TimeSeries timeSeries) {
List<Number> values = new ArrayList<>();
for (double i = MIN_NUMBER_OF_COVERED_POINTS; i <= (timeSeries.getLength() < 10 ? 7 : timeSeries.getLength() / 3.0); i += MIN_INCREASING_STEP_OF_NUMBER_OF_COVERED_POINTS) {
values.add(i);
}
return values;
}
}

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@ -48,7 +48,7 @@ class MethodParamBruteForce {
.collect(Collectors.toMap(TimeSeriesValue::getDate, TimeSeriesValue::getValue)); .collect(Collectors.toMap(TimeSeriesValue::getDate, TimeSeriesValue::getValue));
for (Method method : methods) { for (Method method : methods) {
List<List<MethodParamValue>> availableParametersValues = getAvailableParametersValues(method.getAvailableParameters()); List<List<MethodParamValue>> availableParametersValues = getAvailableParametersValues(timeSeries, method.getAvailableParameters());
for (List<MethodParamValue> parametersValues : availableParametersValues) { for (List<MethodParamValue> parametersValues : availableParametersValues) {
Method methodInstance = method.getClass().getDeclaredConstructor().newInstance(); Method methodInstance = method.getClass().getDeclaredConstructor().newInstance();
if (methodInstance.canMakeForecast(reducedTimeSeries, parametersValues, countPoints)) { if (methodInstance.canMakeForecast(reducedTimeSeries, parametersValues, countPoints)) {
@ -119,7 +119,7 @@ class MethodParamBruteForce {
} }
*/ */
public ModelingResult getSmoothedTimeSeries(TimeSeries timeSeries) throws ExecutionException, InterruptedException, NoSuchMethodException, InvocationTargetException, InstantiationException, IllegalAccessException { public ModelingResult getSmoothedTimeSeries(TimeSeries timeSeries, List<Method> methods) throws ExecutionException, InterruptedException, NoSuchMethodException, InvocationTargetException, InstantiationException, IllegalAccessException {
List<Future<ModelingResult>> results = new ArrayList<>(); List<Future<ModelingResult>> results = new ArrayList<>();
List<ModelingResult> results2 = new CopyOnWriteArrayList<>(); List<ModelingResult> results2 = new CopyOnWriteArrayList<>();
@ -127,7 +127,7 @@ class MethodParamBruteForce {
.collect(Collectors.toMap(TimeSeriesValue::getDate, TimeSeriesValue::getValue)); .collect(Collectors.toMap(TimeSeriesValue::getDate, TimeSeriesValue::getValue));
for (Method method : methods) { for (Method method : methods) {
List<List<MethodParamValue>> availableParametersValues = getAvailableParametersValues(method.getAvailableParameters()); List<List<MethodParamValue>> availableParametersValues = getAvailableParametersValues(timeSeries, method.getAvailableParameters());
for (List<MethodParamValue> parametersValues : availableParametersValues) { for (List<MethodParamValue> parametersValues : availableParametersValues) {
Method methodInstance = method.getClass().getDeclaredConstructor().newInstance(); Method methodInstance = method.getClass().getDeclaredConstructor().newInstance();
if (methodInstance.canMakeModel(timeSeries, parametersValues)) { if (methodInstance.canMakeModel(timeSeries, parametersValues)) {
@ -150,13 +150,25 @@ class MethodParamBruteForce {
.orElse(null); .orElse(null);
} }
private List<List<MethodParamValue>> getAvailableParametersValues(List<MethodParameter> availableParameters) { public ModelingResult getSmoothedTimeSeries(TimeSeries timeSeries, String methodClassName) throws ExecutionException, InterruptedException, NoSuchMethodException, InvocationTargetException, InstantiationException, IllegalAccessException, ModelingException {
Method method = methods.stream()
.filter(m -> m.getClass().getSimpleName().equals(methodClassName))
.findAny()
.orElseThrow(() -> new ModelingException("Неизвестный метод прогнозирования"));
return getSmoothedTimeSeries(timeSeries, List.of(method));
}
public ModelingResult getSmoothedTimeSeries(TimeSeries timeSeries) throws ExecutionException, InterruptedException, NoSuchMethodException, InvocationTargetException, InstantiationException, IllegalAccessException {
return getSmoothedTimeSeries(timeSeries, methods);
}
private List<List<MethodParamValue>> getAvailableParametersValues(TimeSeries timeSeries, List<MethodParameter> availableParameters) {
List<List<MethodParamValue>> result = new ArrayList<>(); List<List<MethodParamValue>> result = new ArrayList<>();
Map<MethodParameter, Integer> parameterOffset = new TreeMap<>(); Map<MethodParameter, Integer> parameterOffset = new TreeMap<>();
Map<MethodParameter, List<Number>> parameterValues = new TreeMap<>(); Map<MethodParameter, List<Number>> parameterValues = new TreeMap<>();
for (MethodParameter methodParameter : availableParameters) { for (MethodParameter methodParameter : availableParameters) {
parameterOffset.put(methodParameter, 0); parameterOffset.put(methodParameter, 0);
parameterValues.put(methodParameter, methodParameter.getAvailableValues()); parameterValues.put(methodParameter, methodParameter.getAvailableValues(timeSeries));
} }
while (isNotAllParameterValuesUsed(parameterOffset, parameterValues)) { while (isNotAllParameterValuesUsed(parameterOffset, parameterValues)) {
List<MethodParamValue> resultRow = new ArrayList<>(); List<MethodParamValue> resultRow = new ArrayList<>();

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@ -35,6 +35,10 @@ public class TimeSeriesService {
return methodParamBruteForce.getSmoothedTimeSeries(timeSeries); return methodParamBruteForce.getSmoothedTimeSeries(timeSeries);
} }
public ModelingResult smoothTimeSeries(TimeSeries timeSeries, String methodClassName) throws ExecutionException, InterruptedException, InvocationTargetException, NoSuchMethodException, InstantiationException, IllegalAccessException, ModelingException {
return methodParamBruteForce.getSmoothedTimeSeries(timeSeries, methodClassName);
}
public List<Method> getAvailableMethods() { public List<Method> getAvailableMethods() {
return methodParamBruteForce.getAvailableMethods(); return methodParamBruteForce.getAvailableMethods();
} }

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@ -63,21 +63,25 @@
{ {
name: [[#{messages.time_series}]], name: [[#{messages.time_series}]],
color: 'rgba(119,152,191,0.5)', color: 'rgba(119,152,191,0.5)',
connectNulls: true,
data: [[${timeSeries}]] data: [[${timeSeries}]]
}, },
{ {
name: [[#{messages.time_series_model}]], name: [[#{messages.time_series_model}]],
color: 'rgba(255,200,0,0.5)', color: 'rgba(255,200,0,0.5)',
connectNulls: true,
data: [[${model}]] data: [[${model}]]
}, },
{ {
name: [[#{messages.time_series_test_forecast}]], name: [[#{messages.time_series_test_forecast}]],
color: 'rgba(255,0,0,0.5)', color: 'rgba(255,0,0,0.5)',
connectNulls: true,
data: [[${testForecast}]] data: [[${testForecast}]]
}, },
{ {
name: [[#{messages.time_series_forecast_short}]], name: [[#{messages.time_series_forecast_short}]],
color: 'rgba(255,0,0,0.5)', color: 'rgba(255,0,0,0.5)',
connectNulls: true,
data: [[${forecast}]] data: [[${forecast}]]
} }
]; ];