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249 changed files with 31 additions and 9108 deletions

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@ -1,3 +1,3 @@
API http://time-series.athene.tech/swagger-ui/index.html
API http://localhost:8080/swagger-ui.html
Demo http://time-series.athene.tech/

View File

@ -5,12 +5,9 @@ plugins {
}
jar {
archivesBaseName = 'time-series-smoothing'
archivesBaseName='time-series-smoothing'
}
group 'ru.ulstu'
version '1.0-SNAPSHOT'
repositories {
maven {
url "https://repo.athene.tech/repository/maven-central/"
@ -20,28 +17,27 @@ repositories {
}
}
test {
useJUnitPlatform()
}
sourceCompatibility = '11'
targetCompatibility = '11'
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-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: '3.0.0'
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: 'org.javassist', name: 'javassist', version: '3.25.0-GA'
implementation group: 'org.eclipse.jetty', name: 'jetty-servlet', version: versionJetty
implementation group: 'org.eclipse.jetty', name: 'jetty-servlet', version: versionJetty
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: '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: 'org.springdoc', name: 'springdoc-openapi-ui', version: '1.6.5'
@ -51,8 +47,7 @@ dependencies {
implementation group: 'org.webjars', name: 'font-awesome', version: '4.7.0'
implementation group: 'org.webjars', name: 'highcharts', version: '7.0.0'
testImplementation 'org.junit.jupiter:junit-jupiter-api:5.8.1'
testRuntimeOnly 'org.junit.jupiter:junit-jupiter-engine:5.8.1'
testImplementation group: 'org.springframework.boot', name: 'spring-boot-starter-test'
}

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@ -12,7 +12,6 @@ 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;
@ -28,14 +27,11 @@ 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,
StatisticService statisticService) {
DbService dbService) {
this.timeSeriesService = timeSeriesService;
this.dbService = dbService;
this.statisticService = statisticService;
}
@GetMapping("/")
@ -100,14 +96,14 @@ 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().skip(1))
return Stream.concat(timeSeries.getValues().stream(), forecast.getValues().stream())
.map(TimeSeriesValue::getDate)
.sorted()
.map(date -> date.format(DateTimeFormatter.ofLocalizedDate(FormatStyle.SHORT)))
.distinct()
.collect(Collectors.toList());
}

View File

@ -14,7 +14,6 @@ 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;
@ -58,16 +57,6 @@ 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 {
@ -85,16 +74,4 @@ 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);
}
}

View File

@ -13,8 +13,6 @@ 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 {
@ -25,13 +23,13 @@ public class UtilController {
this.utilService = utilService;
}
@GetMapping("alive")
@GetMapping("isAlive")
@Operation(description = "Проверка сервиса")
public ResponseEntity<Map<String, Boolean>> isAlive() {
return new ResponseEntity<>(Map.of("result", true), HttpStatus.OK);
public ResponseEntity<Boolean> isAlive() {
return new ResponseEntity<>(true, HttpStatus.OK);
}
@PostMapping("getRandom")
@GetMapping("getRandom")
@Operation(description = "Получить временной ряд рандомной длины")
public ResponseEntity<TimeSeries> getRandomTimeSeries(@RequestParam("length") int length) {
return new ResponseEntity<>(utilService.getRandomTimeSeries(length), HttpStatus.OK);

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@ -1,35 +0,0 @@
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 +
'}';
}
}

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@ -11,7 +11,7 @@ import static java.lang.Math.abs;
public class Smape extends ScoreMethod {
public Smape() {
super("Smape, %");
super("Smape");
}
@Override

View File

@ -9,7 +9,6 @@ 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;
@ -17,7 +16,6 @@ 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;
@ -53,8 +51,7 @@ class MethodParamBruteForce {
}
Map<LocalDateTime, Double> tsValues = timeSeries.getValues().stream()
.collect(Collectors.toMap(TimeSeriesValue::getDate, TimeSeriesValue::getValue,
(oldValue, newValue) -> oldValue, LinkedHashMap::new));
.collect(Collectors.toMap(TimeSeriesValue::getDate, TimeSeriesValue::getValue));
for (Method method : methods) {
List<List<MethodParamValue>> availableParametersValues = getAvailableParametersValues(timeSeries, method.getAvailableParameters());
@ -137,8 +134,7 @@ class MethodParamBruteForce {
List<ModelingResult> results2 = new CopyOnWriteArrayList<>();
Map<LocalDateTime, Double> tsValues = timeSeries.getValues().stream()
.collect(Collectors.toMap(TimeSeriesValue::getDate, TimeSeriesValue::getValue,
(oldValue, newValue) -> oldValue, LinkedHashMap::new));
.collect(Collectors.toMap(TimeSeriesValue::getDate, TimeSeriesValue::getValue));
for (Method method : methods) {
List<List<MethodParamValue>> availableParametersValues = getAvailableParametersValues(timeSeries, method.getAvailableParameters());
@ -164,36 +160,6 @@ 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))

View File

@ -10,7 +10,6 @@ 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
@ -40,48 +39,7 @@ 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);
}
}

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@ -1,60 +0,0 @@
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));
}
}

View File

@ -1,44 +0,0 @@
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;
}
}

View File

@ -91,8 +91,10 @@
json.plotOptions = plotOptions;
$('#chart').highcharts(json);
});
</script>
</script>
<form action="#" th:action="chart" th:object="${chartForm}">
<div class="row">
<div class="col-md-12 col-sm-12 col-lg-6">
@ -107,6 +109,7 @@
<script th:inline="javascript" th:if="*{set != null}">
$('#select-set').val([[*{set.key}]]);
$('#select-set').selectpicker('refresh');
</script>
<select id="select-ts" class="selectpicker form-group" data-live-search="true"
@ -118,51 +121,15 @@
th:utext="${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}"/>
</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="${statistic.dispersion.present ? statistic.dispersion .get : 'Не известно'}"/>
</p>
<hr/>
<p> Метод прогнозирования: <span th:text="${forecastDescription.timeSeriesMethod}"> </span>
<p> Оценка: <span th:text="${forecastDescription.score.value}"> </span>
</div>
</div>
<div class="col-md-12 col-sm-12 col-lg-6">

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@ -1,44 +0,0 @@
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);
}
}

View File

@ -1,7 +0,0 @@
2003-04-29T09:32:57.120554;0.00157
2003-10-30T09:32:57.120554;0.00119
2004-04-30T09:32:57.120554;0.000505021970694462
2004-10-27T09:32:57.120554;0.00122503783903256
2005-04-05T09:32:57.120554;0.00108379668432313
2005-09-30T09:32:57.120554;0.00186974773746743
2005-12-31T09:32:57.120554;0.00160839737199463
1 2003-04-29T09:32:57.120554 0.00157
2 2003-10-30T09:32:57.120554 0.00119
3 2004-04-30T09:32:57.120554 0.000505021970694462
4 2004-10-27T09:32:57.120554 0.00122503783903256
5 2005-04-05T09:32:57.120554 0.00108379668432313
6 2005-09-30T09:32:57.120554 0.00186974773746743
7 2005-12-31T09:32:57.120554 0.00160839737199463

View File

@ -1 +0,0 @@
{"key":"Коэффициент привлечения (соотношения собственных и заемных средств)","size":1,"hasDateTime":true}

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@ -1,13 +0,0 @@
2003-01-01T09:32:57.120554;0.389759183
2003-04-29T09:32:57.120554;0.403001187
2003-07-30T09:32:57.120554;0.491382493
2003-10-30T09:32:57.120554;0.43540681
2004-01-01T09:32:57.120554;0.584191706
2004-04-30T09:32:57.120554;0.635624474
2004-07-29T09:32:57.120554;0.34954503
2004-10-27T09:32:57.120554;0.496670762
2005-01-01T09:32:57.120554;0.865462608
2005-04-29T09:32:57.120554;2.015631486
2005-06-30T09:32:57.120554;0.765889497
2005-09-30T09:32:57.120554;0.603866019
2005-12-31T09:32:57.120554;0.663070988
1 2003-01-01T09:32:57.120554 0.389759183
2 2003-04-29T09:32:57.120554 0.403001187
3 2003-07-30T09:32:57.120554 0.491382493
4 2003-10-30T09:32:57.120554 0.43540681
5 2004-01-01T09:32:57.120554 0.584191706
6 2004-04-30T09:32:57.120554 0.635624474
7 2004-07-29T09:32:57.120554 0.34954503
8 2004-10-27T09:32:57.120554 0.496670762
9 2005-01-01T09:32:57.120554 0.865462608
10 2005-04-29T09:32:57.120554 2.015631486
11 2005-06-30T09:32:57.120554 0.765889497
12 2005-09-30T09:32:57.120554 0.603866019
13 2005-12-31T09:32:57.120554 0.663070988

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@ -1 +0,0 @@
{"key":"Коэффициент быстрой ликвидности","size":1,"hasDateTime":true}

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@ -1,13 +0,0 @@
2003-01-01T09:32:57.120554;1.866521416
2003-04-29T09:32:57.120554;1.312521108
2003-07-30T09:32:57.120554;1.285475189
2003-10-30T09:32:57.120554;1.130654615
2004-01-01T09:32:57.120554;1.369348118
2004-04-30T09:32:57.120554;1.634045786
2004-07-29T09:32:57.120554;1.456659692
2004-10-27T09:32:57.120554;1.694173821
2005-01-01T09:32:57.120554;2.70768445
2005-04-29T09:32:57.120554;7.100717469
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5 2022-11-05T13:00:00 3.0
6 2022-11-12T08:00:00 3.0
7 2022-11-16T09:00:00 0.0

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