add axioms ts

add economic ts
2024-10-15 16:47:38 +04:00 · 2024-10-15 16:40:12 +04:00 · 2024-10-15 13:34:36 +04:00 · 2023-04-22 23:50:14 +04:00 · 2023-04-22 23:40:15 +04:00 · 2023-04-22 12:10:15 +04:00
249 changed files with 9108 additions and 31 deletions
--- a/README.md
+++ b/README.md
@ -1,3 +1,3 @@
-API http://localhost:8080/swagger-ui.html
+API http://time-series.athene.tech/swagger-ui/index.html

 Demo http://time-series.athene.tech/
--- a/build.gradle
+++ b/build.gradle
@ -8,6 +8,9 @@ jar {
    archivesBaseName = 'time-series-smoothing'
 }

+group 'ru.ulstu'
+version '1.0-SNAPSHOT'
+
 repositories {
    maven {
        url "https://repo.athene.tech/repository/maven-central/"
@ -17,27 +20,28 @@ repositories {
    }
 }

-sourceCompatibility = '11'
-targetCompatibility = '11'
+test {
+    useJUnitPlatform()
+}

 dependencies {
    ext {
        versionSLF4J = '1.7.24'
        versionJetty = '9.3.16.v20170120'
-        versionJackson = '2.9.4'
    }

    implementation group: 'org.springframework.boot', name: 'spring-boot-starter-web'
    implementation group: 'org.springframework.boot', name: 'spring-boot-starter-jetty'
    implementation group: 'org.springframework.boot', name: 'spring-boot-starter-thymeleaf'
+    implementation group: 'org.springframework.boot', name: 'spring-boot-starter-test'
    implementation group: 'org.slf4j', name: 'slf4j-api', version: versionSLF4J
-    implementation group: 'nz.net.ultraq.thymeleaf', name: 'thymeleaf-layout-dialect', version: '3.1.0'
+    implementation group: 'nz.net.ultraq.thymeleaf', name: 'thymeleaf-layout-dialect', version: '3.0.0'
    implementation group: 'org.javassist', name: 'javassist', version: '3.25.0-GA'
    implementation group: 'org.eclipse.jetty', name: 'jetty-servlet', version: versionJetty

-    implementation  group: 'com.fasterxml.jackson.core', name: 'jackson-databind', version: versionJackson
-    implementation  group: 'com.fasterxml.jackson.core', name: 'jackson-annotations', version: versionJackson
-    implementation  group: 'com.fasterxml.jackson.datatype', name: 'jackson-datatype-jsr310', version: versionJackson
+    implementation group: 'com.fasterxml.jackson.core', name: 'jackson-databind'
+    implementation group: 'com.fasterxml.jackson.core', name: 'jackson-annotations'
+    implementation group: 'com.fasterxml.jackson.datatype', name: 'jackson-datatype-jsr310'

    implementation group: 'org.springdoc', name: 'springdoc-openapi-ui', version: '1.6.5'

@ -47,7 +51,8 @@ dependencies {
    implementation group: 'org.webjars', name: 'font-awesome', version: '4.7.0'
    implementation group: 'org.webjars', name: 'highcharts', version: '7.0.0'

-    testImplementation  group: 'org.springframework.boot', name: 'spring-boot-starter-test'
+    testImplementation 'org.junit.jupiter:junit-jupiter-api:5.8.1'
+    testRuntimeOnly 'org.junit.jupiter:junit-jupiter-engine:5.8.1'
 }

    
--- a/src/main/java/ru/ulstu/controller/IndexController.java
+++ b/src/main/java/ru/ulstu/controller/IndexController.java
@ -12,6 +12,7 @@ import ru.ulstu.datamodel.ts.TimeSeries;
 import ru.ulstu.datamodel.ts.TimeSeriesValue;
 import ru.ulstu.db.DbService;
 import ru.ulstu.service.TimeSeriesService;
+import ru.ulstu.statistic.StatisticService;

 import java.io.IOException;
 import java.lang.reflect.InvocationTargetException;
@ -27,11 +28,14 @@ import java.util.stream.Stream;
 public class IndexController {
    private final TimeSeriesService timeSeriesService;
    private final DbService dbService;
+    private final StatisticService statisticService;

    public IndexController(TimeSeriesService timeSeriesService,
-                           DbService dbService) {
+                           DbService dbService,
+                           StatisticService statisticService) {
        this.timeSeriesService = timeSeriesService;
        this.dbService = dbService;
+        this.statisticService = statisticService;
    }

    @GetMapping("/")
@ -96,14 +100,14 @@ public class IndexController {
        testForecastValues.addAll(testForecast.getValues().stream().map(TimeSeriesValue::getValue).collect(Collectors.toList()));
        model.addAttribute("testForecast", testForecastValues.toArray());
        model.addAttribute("forecastDescription", modelingResult);
+        model.addAttribute("statistic", statisticService.getStatistic(timeSeries));
    }

    private List<String> getDatesForChart(TimeSeries timeSeries, TimeSeries forecast) {
-        return Stream.concat(timeSeries.getValues().stream(), forecast.getValues().stream())
+        return Stream.concat(timeSeries.getValues().stream(), forecast.getValues().stream().skip(1))
                .map(TimeSeriesValue::getDate)
                .sorted()
                .map(date -> date.format(DateTimeFormatter.ofLocalizedDate(FormatStyle.SHORT)))
-                .distinct()
                .collect(Collectors.toList());

    }
--- a/src/main/java/ru/ulstu/controller/TimeSeriesController.java
+++ b/src/main/java/ru/ulstu/controller/TimeSeriesController.java
@ -14,6 +14,7 @@ import ru.ulstu.HttpUtils;
 import ru.ulstu.configuration.ApiConfiguration;
 import ru.ulstu.datamodel.ForecastParams;
 import ru.ulstu.datamodel.ModelingResult;
+import ru.ulstu.datamodel.SmoothingParams;
 import ru.ulstu.datamodel.exception.ModelingException;
 import ru.ulstu.datamodel.ts.TimeSeries;
 import ru.ulstu.method.Method;
@ -57,6 +58,16 @@ public class TimeSeriesController {
        return result;
    }

+    @PostMapping("getSpecificMethodSmoothed")
+    @Operation(description = "Получить сглаженный временной ряд выбранным методом")
+    public ResponseEntity<ModelingResult> getSpecificMethodSmoothedTimeSeries(@RequestBody @Valid SmoothingParams smoothingParams, HttpServletRequest request) throws ExecutionException, InterruptedException, InvocationTargetException, NoSuchMethodException, InstantiationException, IllegalAccessException, ModelingException {
+        LOGGER.info("User ip: " + HttpUtils.getUserIp(request));
+        LOGGER.info("Time series for smoothing: " + smoothingParams.getOriginalTimeSeries());
+        ResponseEntity<ModelingResult> result = new ResponseEntity<>(timeSeriesService.smoothTimeSeries(smoothingParams.getOriginalTimeSeries(), smoothingParams.getMethodClassName()), HttpStatus.OK);
+        LOGGER.info("Smoothing complete");
+        return result;
+    }
+
    @PostMapping("getSpecificMethodForecast")
    @Operation(description = "Получить прогноз временного ряда указанным методом")
    public ResponseEntity<ModelingResult> getForecastTimeSeriesSpecificMethod(@RequestBody @Valid ForecastParams forecastParams, HttpServletRequest request) throws ExecutionException, InterruptedException, InvocationTargetException, NoSuchMethodException, InstantiationException, IllegalAccessException, ModelingException {
@ -74,4 +85,16 @@ public class TimeSeriesController {
    public ResponseEntity<List<Method>> getAvailableMethods() {
        return new ResponseEntity<>(timeSeriesService.getAvailableMethods(), HttpStatus.OK);
    }
+
+    @PostMapping("getGroupedTendencies")
+    @Operation(description = "Получить список сгруппированных тенденций")
+    public ResponseEntity<List<TimeSeries>> getGroupedTendencies(@RequestBody List<TimeSeries> timeSeriesList) {
+        return new ResponseEntity<>(timeSeriesService.getGroupedTendencies(timeSeriesList), HttpStatus.OK);
+    }
+
+    @PostMapping("getMaxSmoothing")
+    @Operation(description = "Получить максимальное сглаживание временного ряда")
+    public ResponseEntity<ModelingResult> getMaxSmoothing(@RequestBody TimeSeries timeSeries) throws ModelingException, ExecutionException, InterruptedException, InvocationTargetException, NoSuchMethodException, InstantiationException, IllegalAccessException {
+        return new ResponseEntity<>(timeSeriesService.getMaxSmoothedTimeSeries(timeSeries), HttpStatus.OK);
+    }
 }
--- a/src/main/java/ru/ulstu/controller/UtilController.java
+++ b/src/main/java/ru/ulstu/controller/UtilController.java
@ -13,6 +13,8 @@ import ru.ulstu.configuration.ApiConfiguration;
 import ru.ulstu.datamodel.ts.TimeSeries;
 import ru.ulstu.service.UtilService;

+import java.util.Map;
+
@RestController
@RequestMapping(ApiConfiguration.API_1_0)
 public class UtilController {
@ -23,13 +25,13 @@ public class UtilController {
        this.utilService = utilService;
    }

-    @GetMapping("isAlive")
+    @GetMapping("alive")
    @Operation(description = "Проверка сервиса")
-    public ResponseEntity<Boolean> isAlive() {
-        return new ResponseEntity<>(true, HttpStatus.OK);
+    public ResponseEntity<Map<String, Boolean>> isAlive() {
+        return new ResponseEntity<>(Map.of("result", true), HttpStatus.OK);
    }

-    @GetMapping("getRandom")
+    @PostMapping("getRandom")
    @Operation(description = "Получить временной ряд рандомной длины")
    public ResponseEntity<TimeSeries> getRandomTimeSeries(@RequestParam("length") int length) {
        return new ResponseEntity<>(utilService.getRandomTimeSeries(length), HttpStatus.OK);
--- a/src/main/java/ru/ulstu/datamodel/SmoothingParams.java
+++ b/src/main/java/ru/ulstu/datamodel/SmoothingParams.java
@ -0,0 +1,35 @@
+package ru.ulstu.datamodel;
+
+import ru.ulstu.datamodel.ts.TimeSeries;
+
+import javax.validation.constraints.NotNull;
+
+public class SmoothingParams {
+    @NotNull
+    private TimeSeries originalTimeSeries;
+    private String methodClassName;
+
+    public TimeSeries getOriginalTimeSeries() {
+        return originalTimeSeries;
+    }
+
+    public void setOriginalTimeSeries(TimeSeries originalTimeSeries) {
+        this.originalTimeSeries = originalTimeSeries;
+    }
+
+    public String getMethodClassName() {
+        return methodClassName;
+    }
+
+    public void setMethodClassName(String methodClassName) {
+        this.methodClassName = methodClassName;
+    }
+
+    @Override
+    public String toString() {
+        return "ForecastParams{" +
+                "originalTimeSeries=" + originalTimeSeries +
+                ", methodClassName=" + methodClassName +
+                '}';
+    }
+}
--- a/src/main/java/ru/ulstu/score/Smape.java
+++ b/src/main/java/ru/ulstu/score/Smape.java
@ -11,7 +11,7 @@ import static java.lang.Math.abs;

 public class Smape extends ScoreMethod {
    public Smape() {
-        super("Smape");
+        super("Smape, %");
    }

    @Override
--- a/src/main/java/ru/ulstu/service/MethodParamBruteForce.java
+++ b/src/main/java/ru/ulstu/service/MethodParamBruteForce.java
@ -9,6 +9,7 @@ import ru.ulstu.datamodel.ts.TimeSeriesValue;
 import ru.ulstu.method.Method;
 import ru.ulstu.method.MethodParamValue;
 import ru.ulstu.method.MethodParameter;
+import ru.ulstu.method.ftransform.FTransform;
 import ru.ulstu.score.ScoreMethod;
 import ru.ulstu.score.Smape;

@ -16,6 +17,7 @@ import java.lang.reflect.InvocationTargetException;
 import java.time.LocalDateTime;
 import java.util.ArrayList;
 import java.util.Comparator;
+import java.util.LinkedHashMap;
 import java.util.List;
 import java.util.Map;
 import java.util.TreeMap;
@ -51,7 +53,8 @@ class MethodParamBruteForce {
        }

        Map<LocalDateTime, Double> tsValues = timeSeries.getValues().stream()
-                .collect(Collectors.toMap(TimeSeriesValue::getDate, TimeSeriesValue::getValue));
+                .collect(Collectors.toMap(TimeSeriesValue::getDate, TimeSeriesValue::getValue,
+                        (oldValue, newValue) -> oldValue, LinkedHashMap::new));

        for (Method method : methods) {
            List<List<MethodParamValue>> availableParametersValues = getAvailableParametersValues(timeSeries, method.getAvailableParameters());
@ -134,7 +137,8 @@ class MethodParamBruteForce {
        List<ModelingResult> results2 = new CopyOnWriteArrayList<>();

        Map<LocalDateTime, Double> tsValues = timeSeries.getValues().stream()
-                .collect(Collectors.toMap(TimeSeriesValue::getDate, TimeSeriesValue::getValue));
+                .collect(Collectors.toMap(TimeSeriesValue::getDate, TimeSeriesValue::getValue,
+                        (oldValue, newValue) -> oldValue, LinkedHashMap::new));

        for (Method method : methods) {
            List<List<MethodParamValue>> availableParametersValues = getAvailableParametersValues(timeSeries, method.getAvailableParameters());
@ -160,6 +164,36 @@ class MethodParamBruteForce {
                .orElse(null);
    }

+    public ModelingResult getMaxSmoothedTimeSeries(TimeSeries timeSeries) throws ExecutionException, InterruptedException, NoSuchMethodException, InvocationTargetException, InstantiationException, IllegalAccessException {
+        List<Future<ModelingResult>> results = new ArrayList<>();
+        List<ModelingResult> results2 = new CopyOnWriteArrayList<>();
+
+        Map<LocalDateTime, Double> tsValues = timeSeries.getValues().stream()
+                .collect(Collectors.toMap(TimeSeriesValue::getDate, TimeSeriesValue::getValue,
+                        (oldValue, newValue) -> oldValue, LinkedHashMap::new));
+        Method method = new FTransform();
+        List<List<MethodParamValue>> availableParameterValues = getAvailableParametersValues(timeSeries, method.getAvailableParameters());
+        List<MethodParamValue> parametersValue = availableParameterValues.get(availableParameterValues.size() - 1);
+        Method methodInstance = method.getClass().getDeclaredConstructor().newInstance();
+        if (methodInstance.canMakeModel(timeSeries, parametersValue)) {
+            results.add(executors.submit(() -> {
+                Model model = methodInstance.getModel(timeSeries, parametersValue);
+                return new ModelingResult(model.getTimeSeriesModel(),
+                        null,
+                        parametersValue,
+                        scoreMethod.getScore(tsValues, model.getTimeSeriesModel()),
+                        methodInstance);
+            }));
+
+        }
+        for (Future<ModelingResult> futureModelingResult : results) {
+            results2.add(futureModelingResult.get());
+        }
+        return results2.stream()
+                .min(Comparator.comparing(modelingResult -> modelingResult.getScore().getDoubleValue()))
+                .orElse(null);
+    }
+
    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))
--- a/src/main/java/ru/ulstu/service/TimeSeriesService.java
+++ b/src/main/java/ru/ulstu/service/TimeSeriesService.java
@ -10,6 +10,7 @@ import ru.ulstu.method.Method;
 import java.lang.reflect.InvocationTargetException;
 import java.util.List;
 import java.util.concurrent.ExecutionException;
+import java.util.stream.Collectors;


@Service
@ -39,7 +40,48 @@ public class TimeSeriesService {
        return methodParamBruteForce.getSmoothedTimeSeries(timeSeries, methodClassName);
    }

+    public ModelingResult getMaxSmoothedTimeSeries(TimeSeries timeSeries) throws ExecutionException, InterruptedException, InvocationTargetException, NoSuchMethodException, InstantiationException, IllegalAccessException, ModelingException {
+        return methodParamBruteForce.getMaxSmoothedTimeSeries(timeSeries);
+    }
+
    public List<Method> getAvailableMethods() {
        return methodParamBruteForce.getAvailableMethods();
    }
+
+    public List<TimeSeries> getGroupedTendencies(List<TimeSeries> timeSeriesList) {
+        return timeSeriesList
+                .stream()
+                .filter(ts -> ts.getValues() != null && ts.getLength() > 5)
+                .map(this::getGroupedTendencies)
+                .collect(Collectors.toList());
+    }
+
+    public TimeSeries getGroupedTendencies(TimeSeries timeSeries) {
+        try {
+            timeSeries = getMaxSmoothedTimeSeries(timeSeries).getTimeSeries();
+        } catch (Exception e) {
+            e.printStackTrace();
+        }
+        int i = 2;
+        double prevDiff = timeSeries.getNumericValue(1) -
+                timeSeries.getNumericValue(0);
+        while (i < timeSeries.getLength()) {
+            double diff = timeSeries.getNumericValue(i) -
+                    timeSeries.getNumericValue(i - 1);
+            //если тенденция сохранилась
+            if (tsTendencyNotChanged(diff, prevDiff)) {
+                timeSeries.getValues().remove(i - 1);
+            } else {
+                i++;
+            }
+            prevDiff = diff;
+        }
+        return timeSeries;
+    }
+
+    private boolean tsTendencyNotChanged(double diff, double prevDiff) {
+        return (diff > 0 && prevDiff > 0)
+                || (diff < 0 && prevDiff < 0)
+                || (diff == 0 && prevDiff == 0);
+    }
 }
--- a/src/main/java/ru/ulstu/statistic/StatisticService.java
+++ b/src/main/java/ru/ulstu/statistic/StatisticService.java
@ -0,0 +1,60 @@
+package ru.ulstu.statistic;
+
+import org.springframework.stereotype.Service;
+import ru.ulstu.datamodel.ts.TimeSeries;
+import ru.ulstu.datamodel.ts.TimeSeriesValue;
+
+import java.util.Optional;
+import java.util.OptionalDouble;
+import java.util.stream.DoubleStream;
+
+@Service
+public class StatisticService {
+    public Optional<Double> getAverage(TimeSeries timeSeries) {
+        return getOptionalValue(getDoubleStream(timeSeries).average());
+    }
+
+    public Optional<Double> getMin(TimeSeries timeSeries) {
+        return getOptionalValue(getDoubleStream(timeSeries).min());
+    }
+
+    public Optional<Double> getMax(TimeSeries timeSeries) {
+        return getOptionalValue(getDoubleStream(timeSeries).max());
+    }
+
+    public Optional<Double> getLength(TimeSeries timeSeries) {
+        return getOptionalValue(Double.valueOf(timeSeries.getLength()));
+    }
+
+    public Optional<Double> getDispersion(TimeSeries timeSeries) {
+        Optional<Double> maybeAverage = getAverage(timeSeries);
+        return getOptionalValue(maybeAverage.isPresent()
+                ? timeSeries.getValues().stream().mapToDouble(v -> Math.pow(v.getValue() - maybeAverage.get(), 2)).sum() / timeSeries.getLength()
+                : null);
+    }
+
+    private DoubleStream getDoubleStream(TimeSeries timeSeries) {
+        return timeSeries.getValues().stream().mapToDouble(TimeSeriesValue::getValue);
+    }
+
+    private Optional<Double> getOptionalValue(OptionalDouble optionalDouble) {
+        return getOptionalValue(optionalDouble.isPresent()
+                ? optionalDouble.getAsDouble()
+                : null);
+    }
+
+    private Optional<Double> getOptionalValue(Double value) {
+        value = (value == null)
+                ? null
+                : ((double) Math.round(value * 100) / 100);
+        return Optional.ofNullable(value);
+    }
+
+    public TimeSeriesStatistic getStatistic(TimeSeries timeSeries) {
+        return new TimeSeriesStatistic(getMin(timeSeries),
+                getMax(timeSeries),
+                getAverage(timeSeries),
+                getLength(timeSeries),
+                getDispersion(timeSeries));
+    }
+}
--- a/src/main/java/ru/ulstu/statistic/TimeSeriesStatistic.java
+++ b/src/main/java/ru/ulstu/statistic/TimeSeriesStatistic.java
@ -0,0 +1,44 @@
+package ru.ulstu.statistic;
+
+import java.util.Optional;
+
+public class TimeSeriesStatistic {
+    private Optional<Double> min;
+    private Optional<Double> max;
+    private Optional<Double> average;
+    private Optional<Double> length;
+
+    private Optional<Double> dispersion;
+
+    public TimeSeriesStatistic(Optional<Double> min,
+                               Optional<Double> max,
+                               Optional<Double> average,
+                               Optional<Double> length,
+                               Optional<Double> dispersion) {
+        this.min = min;
+        this.max = max;
+        this.average = average;
+        this.length = length;
+        this.dispersion = dispersion;
+    }
+
+    public Optional<Double> getMin() {
+        return min;
+    }
+
+    public Optional<Double> getMax() {
+        return max;
+    }
+
+    public Optional<Double> getAverage() {
+        return average;
+    }
+
+    public Optional<Double> getLength() {
+        return length;
+    }
+
+    public Optional<Double> getDispersion() {
+        return dispersion;
+    }
+}
--- a/src/main/resources/templates/index.html
+++ b/src/main/resources/templates/index.html
@ -91,10 +91,8 @@
            json.plotOptions = plotOptions;
            $('#chart').highcharts(json);
        });
-
-
-
    </script>
+
    <form action="#" th:action="chart" th:object="${chartForm}">
        <div class="row">
            <div class="col-md-12 col-sm-12 col-lg-6">
@ -109,7 +107,6 @@
                <script th:inline="javascript" th:if="*{set != null}">
                    $('#select-set').val([[*{set.key}]]);
                    $('#select-set').selectpicker('refresh');
-
                </script>

                <select id="select-ts" class="selectpicker form-group" data-live-search="true"
@ -121,15 +118,51 @@
                            th:utext="${ts.key}">
                    </option>
                </select>
+
                <script th:inline="javascript" th:if="*{timeSeriesMeta != null}">
                    $('#select-ts').val([[*{timeSeriesMeta.key}]]);
                    $('#select-ts').selectpicker('refresh');
-
                </script>

+                <h5 th:if="${forecastDescription != null && forecastDescription.timeSeriesMethod != null}">
+                    Результаты моделирования:
+                </h5>
                <div th:if="${forecastDescription != null && forecastDescription.timeSeriesMethod != null}">
-                    <p> Метод прогнозирования: <span th:text="${forecastDescription.timeSeriesMethod}"> </span>
-                    <p> Оценка: <span th:text="${forecastDescription.score.value}"> </span>
+                    <p> Метод прогнозирования:
+                        <span th:text="${forecastDescription.timeSeriesMethod}"/>
+                    </p>
+                    <hr/>
+                    <p> Оценка прогноза по
+                        <span th:text="${forecastDescription.score.scoreMethod.name}"/>:
+                        <span th:text="${forecastDescription.score.value}"/>
+                    </p>
+                    <hr/>
+                </div>
+
+                <h5 th:if="${forecastDescription != null && forecastDescription.timeSeriesMethod != null}">
+                    Статистические характеристики временного ряда:
+                </h5>
+                <div th:if="${forecastDescription != null && forecastDescription.timeSeriesMethod != null}">
+                    <p> Длина:
+                        <span th:text="${statistic.length.present ? statistic.length.get : 'Не известно'}"/>
+                    </p>
+                    <hr/>
+                    <p> Минимальное значение:
+                        <span th:text="${statistic.min.present ? statistic.min.get : 'Не известно'}"/>
+                    </p>
+                    <hr/>
+                    <p> Максимальное значение:
+                        <span th:text="${statistic.max.present ? statistic.max.get : 'Не известно'}"/>
+                    </p>
+                    <hr/>
+                    <p> Среднее значение:
+                        <span th:text="${statistic.average.present ? statistic.average.get : 'Не известно'}"/>
+                    </p>
+                    <hr/>
+                    <p> Дисперсия:
+                        <span th:text="${statistic.dispersion.present ? statistic.dispersion    .get : 'Не известно'}"/>
+                    </p>
+                    <hr/>
                </div>
            </div>
            <div class="col-md-12 col-sm-12 col-lg-6">
--- a/src/test/java/ru/ulstu/StatisticServiceTest.java
+++ b/src/test/java/ru/ulstu/StatisticServiceTest.java
@ -0,0 +1,44 @@
+package ru.ulstu;
+
+import org.junit.jupiter.api.Assertions;
+import org.junit.jupiter.api.Test;
+import ru.ulstu.datamodel.ts.TimeSeries;
+import ru.ulstu.datamodel.ts.TimeSeriesValue;
+import ru.ulstu.statistic.StatisticService;
+
+import java.time.LocalDateTime;
+
+public class StatisticServiceTest {
+
+    private TimeSeries getTimeSeries() {
+        TimeSeries ts = new TimeSeries();
+        for (int i = 0; i < 11; i++) {
+            ts.addValue(new TimeSeriesValue(LocalDateTime.now(), (double) i));
+        }
+        return TimeSeriesUtils.fillDates(ts);
+    }
+
+    @Test
+    public void testAverage() {
+        Assertions.assertEquals(new StatisticService().getAverage(getTimeSeries())
+                .orElseThrow(() -> new RuntimeException("Average test failed")), 5.0);
+    }
+
+    @Test
+    public void testMin() {
+        Assertions.assertEquals(new StatisticService().getMin(getTimeSeries())
+                .orElseThrow(() -> new RuntimeException("Min test failed")), 0.0);
+    }
+
+    @Test
+    public void testMax() {
+        Assertions.assertEquals(new StatisticService().getMax(getTimeSeries())
+                .orElseThrow(() -> new RuntimeException("Max test failed")), 10.0);
+    }
+
+    @Test
+    public void testLength() {
+        Assertions.assertEquals(new StatisticService().getLength(getTimeSeries())
+                .orElseThrow(() -> new RuntimeException("Length test failed")), 11.0);
+    }
+}
--- a/Axioms/Коэффициент
+++ b/Axioms/Коэффициент
@ -0,0 +1,7 @@
+2003-04-29T09:32:57.120554;0.00157
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--- a/Axioms/Коэффициент
+++ b/Axioms/Коэффициент
@ -0,0 +1 @@
+{"key":"Коэффициент  привлечения (соотношения собственных и заемных средств)","size":1,"hasDateTime":true}
--- a/Axioms/Коэффициент
+++ b/Axioms/Коэффициент
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--- a/ликвидности.csv.meta
+++ b/ликвидности.csv.meta
@ -0,0 +1 @@
+{"key":"Коэффициент быстрой ликвидности","size":1,"hasDateTime":true}
--- a/Axioms/Коэффициент
+++ b/Axioms/Коэффициент
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+++ b/Axioms/Коэффициент
@ -0,0 +1 @@
+{"key":"Коэффициент текущей ликвидности (общий коэффициент покрытия)","size":1,"hasDateTime":true}
--- a/Axioms/Коэффициент
+++ b/Axioms/Коэффициент
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+++ b/Axioms/Коэффициент
@ -0,0 +1 @@
+{"key":"Коэффициент финансовой независимости в части запасов","size":1,"hasDateTime":true}
--- a/Axioms/Коэффициент
+++ b/Axioms/Коэффициент
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--- a/Axioms/Коэффициент
+++ b/Axioms/Коэффициент
@ -0,0 +1 @@
+{"key":"Коэффициент финансовой независимости в части оборотных средств","size":1,"hasDateTime":true}
--- a/независимости.csv
+++ b/независимости.csv
@ -0,0 +1,13 @@
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--- a/независимости.csv.meta
+++ b/независимости.csv.meta
@ -0,0 +1 @@
+{"key":"Коэффициент финансовой независимости","size":1,"hasDateTime":true}
--- a/time-series-db/aviastar/Random
+++ b/time-series-db/aviastar/Random
--- a/time-series-db/aviastar/Random
+++ b/time-series-db/aviastar/Random
@ -0,0 +1 @@
+{"key":"Random time series","size":1000,"hasDateTime":true}
--- a/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
+++ b/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
@ -0,0 +1,2 @@
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--- a/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
+++ b/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
@ -0,0 +1 @@
+{"key":"PIbd-21_Barmina_A.V._CSharp.git Lab_02 Alexandra Временной ряд авторов","size":2,"hasDateTime":true}
--- a/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
+++ b/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
@ -0,0 +1,2 @@
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--- a/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
+++ b/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
@ -0,0 +1 @@
+{"key":"PIbd-21_Barmina_A.V._CSharp.git Lab_02 Временной ряд коммитов","size":2,"hasDateTime":true}
--- a/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
+++ b/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
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--- a/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
+++ b/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
@ -0,0 +1 @@
+{"key":"PIbd-21_Barmina_A.V._CSharp.git Lab_02 Временной ряд сущностей","size":2,"hasDateTime":true}
--- a/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
+++ b/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
@ -0,0 +1,3 @@
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--- a/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
+++ b/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
@ -0,0 +1 @@
+{"key":"PIbd-21_Barmina_A.V._CSharp.git Lab_03 Alexandra Временной ряд авторов","size":3,"hasDateTime":true}
--- a/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
+++ b/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
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--- a/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
+++ b/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
@ -0,0 +1 @@
+{"key":"PIbd-21_Barmina_A.V._CSharp.git Lab_03 Временной ряд коммитов","size":3,"hasDateTime":true}
--- a/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
+++ b/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
@ -0,0 +1,3 @@
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--- a/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
+++ b/time-series-db/git-extractor/PIbd-21_Barmina_A.V._CSharp.git
@ -0,0 +1 @@
+{"key":"PIbd-21_Barmina_A.V._CSharp.git Lab_03 Временной ряд сущностей","size":3,"hasDateTime":true}
--- a/time-series-db/git-extractor/PIbd-21_Barmina_A.V._Java
+++ b/time-series-db/git-extractor/PIbd-21_Barmina_A.V._Java
@ -0,0 +1,2 @@
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--- a/time-series-db/git-extractor/PIbd-21_Barmina_A.V._Java
+++ b/time-series-db/git-extractor/PIbd-21_Barmina_A.V._Java
@ -0,0 +1 @@
+{"key":"PIbd-21_Barmina_A.V._Java Lab_01 Временной ряд коммитов","size":2,"hasDateTime":true}
--- a/time-series-db/git-extractor/PIbd-21_Barmina_A.V._Java
+++ b/time-series-db/git-extractor/PIbd-21_Barmina_A.V._Java
@ -0,0 +1,3 @@
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--- a/time-series-db/git-extractor/PIbd-21_Barmina_A.V._Java
+++ b/time-series-db/git-extractor/PIbd-21_Barmina_A.V._Java
@ -0,0 +1 @@
+{"key":"PIbd-21_Barmina_A.V._Java Lab_02 Временной ряд коммитов","size":3,"hasDateTime":true}
--- a/time-series-db/git-extractor/PIbd-21_Barmina_A_V_ComputerShop
+++ b/time-series-db/git-extractor/PIbd-21_Barmina_A_V_ComputerShop
@ -0,0 +1,2 @@
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--- a/time-series-db/git-extractor/PIbd-21_Barmina_A_V_ComputerShop
+++ b/time-series-db/git-extractor/PIbd-21_Barmina_A_V_ComputerShop
@ -0,0 +1 @@
+{"key":"PIbd-21_Barmina_A_V_ComputerShop Lab2 Временной ряд коммитов","size":2,"hasDateTime":true}
--- a/time-series-db/git-extractor/PIbd-21_Barmina_A_V_ComputerShop
+++ b/time-series-db/git-extractor/PIbd-21_Barmina_A_V_ComputerShop
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--- a/time-series-db/git-extractor/PIbd-21_Barmina_A_V_ComputerShop
+++ b/time-series-db/git-extractor/PIbd-21_Barmina_A_V_ComputerShop
@ -0,0 +1 @@
+{"key":"PIbd-21_Barmina_A_V_ComputerShop Lab3 Временной ряд коммитов","size":3,"hasDateTime":true}
--- a/time-series-db/git-extractor/TabbyChat-2
+++ b/time-series-db/git-extractor/TabbyChat-2
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--- a/time-series-db/git-extractor/TabbyChat-2
+++ b/time-series-db/git-extractor/TabbyChat-2
@ -0,0 +1 @@
+{"key":"TabbyChat-2 events Matthew Messinger Временной ряд авторов","size":128,"hasDateTime":true}
--- a/time-series-db/git-extractor/TabbyChat-2
+++ b/time-series-db/git-extractor/TabbyChat-2
@ -0,0 +1,2 @@
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--- a/time-series-db/git-extractor/TabbyChat-2
+++ b/time-series-db/git-extractor/TabbyChat-2
@ -0,0 +1 @@
+{"key":"TabbyChat-2 events Zemoj Временной ряд авторов","size":2,"hasDateTime":true}
--- a/time-series-db/git-extractor/TabbyChat-2
+++ b/time-series-db/git-extractor/TabbyChat-2
@ -0,0 +1,6 @@
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--- a/time-series-db/git-extractor/TabbyChat-2
+++ b/time-series-db/git-extractor/TabbyChat-2
@ -0,0 +1 @@
+{"key":"TabbyChat-2 events killjoy1221 Временной ряд авторов","size":6,"hasDateTime":true}
--- a/time-series-db/git-extractor/TabbyChat-2
+++ b/time-series-db/git-extractor/TabbyChat-2
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--- a/time-series-db/git-extractor/TabbyChat-2
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+++ b/time-series-db/git-extractor/TabbyChat-2.git
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+++ b/time-series-db/git-extractor/Test
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+++ b/time-series-db/git-extractor/Test
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--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Anton Romanov	52561af526	add axioms ts	2024-10-15 16:47:38 +04:00
Anton Romanov	af72fee160	add axioms ts	2024-10-15 16:40:12 +04:00
Anton Romanov	ce3c336615	add economic ts	2024-10-15 13:34:36 +04:00
Anton Romanov	63468230ad	#10 -- revert	2023-04-22 23:50:14 +04:00
Anton Romanov	71920cf604	#10 -- revert	2023-04-22 23:40:15 +04:00
romanov73	9a99f2fa8e	Merge pull request 'max smoothing' (#11 ) from 10-max-smoothing into master Reviewed-on: #11	2023-04-22 12:10:15 +04:00
Anton Romanov	b6ead2f8e5	#10 -- add max smoothed time series	2023-04-22 12:09:55 +04:00
Anton Romanov	151d44b362	group list of time series tendencies	2023-02-27 23:20:45 +04:00
Anton Romanov	d4080e69c1	group list of time series tendencies	2023-02-27 22:36:08 +04:00
Anton Romanov	b3ab0496f8	group time series tendencies	2023-02-25 14:12:44 +04:00
Anton Romanov	21fe9d09bd	fix js	2023-01-11 14:00:17 +04:00
Anton Romanov	207b1e1af3	add dispersion	2023-01-09 23:56:28 +04:00
root	abb3289077	add ts	2023-01-09 11:12:17 +00:00
romanov73	ccf0f3c44f	Изменил(а) на 'README.md'	2023-01-09 14:42:52 +04:00
Anton Romanov	50e11878af	fix test	2023-01-08 16:27:54 +04:00
Anton Romanov	f1180434da	fail test	2023-01-08 16:24:38 +04:00
Anton Romanov	0eb3f38a24	restore test	2023-01-08 15:54:56 +04:00
Anton Romanov	327d6c9715	again fail test	2023-01-08 15:39:42 +04:00
Anton Romanov	62957a4d6d	fix failed test	2023-01-08 15:32:47 +04:00
Anton Romanov	4c3b530765	try to fail test	2023-01-08 15:23:53 +04:00
Anton Romanov	0460d422b2	fix tests	2023-01-08 15:17:02 +04:00
Anton Romanov	1dbf7defeb	fix jdk version	2023-01-08 13:22:33 +04:00
Anton Romanov	43d5462e37	show time series statistic	2023-01-08 13:13:27 +04:00
Anton Romanov	a6183567b9	add statistic service	2023-01-08 12:39:40 +04:00
romanov73	35d88d4aa6	Merge pull request '#8 -- fix x-axis dates' (#9 ) from 8-bug-dates into master Reviewed-on: #9	2022-10-08 14:42:17 +04:00
Anton Romanov	9d0a862feb	#8 -- fix x-axis dates	2022-10-08 14:40:49 +04:00
Anton Romanov	e267e0c55c	change generator http method	2022-08-12 01:09:55 +04:00
Anton Romanov	2844619423	fix alive response	2022-08-11 13:45:38 +04:00
Anton Romanov	f75511f0e0	fix alive response	2022-08-11 13:42:39 +04:00
Anton Romanov	ae24e05300	fix alive response	2022-08-11 13:39:31 +04:00
Anton Romanov	188eab6a09	fix alive url	2022-08-11 13:18:37 +04:00
Anton Romanov	edb5926eb8	#3 -- fix dependency	2022-07-25 09:26:23 +04:00
Anton Romanov	aa4f389bf0	#3 -- add smoothing by specific method	2022-07-25 09:22:45 +04:00
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