old some edit

# Conflicts:
#	src/main/java/ru/ulstu/target/AnomalyDifferenceSmoothed.java

build.gradle

@@ -34,10 +34,12 @@ dependencies {
     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.springframework.boot', name: 'spring-boot-starter-webflux'
     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.javassist', name: 'javassist', version: '3.25.0-GA'
     implementation group: 'org.eclipse.jetty', name: 'jetty-servlet', version: versionJetty
+    implementation group: 'org.json', name: 'json', version: '20220320'
 
     implementation group: 'com.fasterxml.jackson.core', name: 'jackson-databind'
     implementation group: 'com.fasterxml.jackson.core', name: 'jackson-annotations'

src/main/java/ru/ulstu/configuration/WebClientConfiguration.java

@@ -0,0 +1,14 @@
+package ru.ulstu.configuration;
+
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.http.*;
+import org.springframework.web.reactive.function.client.WebClient;
+
+@Configuration
+public class WebClientConfiguration {
+    @Bean
+    public WebClient webClient(WebClient.Builder webClientBuilder) {
+        return webClientBuilder.build(); //contentType(MediaType.APPLICATION_FORM_URLENCODED)
+    }
+}

src/main/java/ru/ulstu/controller/AnomalyController.java

@@ -0,0 +1,40 @@
+package ru.ulstu.controller;
+
+import io.swagger.v3.oas.annotations.Operation;
+import org.springframework.http.HttpStatus;
+import org.springframework.http.ResponseEntity;
+import org.springframework.web.bind.annotation.*;
+import ru.ulstu.configuration.ApiConfiguration;
+import ru.ulstu.datamodel.exception.ModelingException;
+import ru.ulstu.datamodel.ts.TimeSeries;
+import ru.ulstu.db.DbService;
+import ru.ulstu.db.model.TimeSeriesSet;
+import ru.ulstu.estimate.CompressionMetricService;
+import ru.ulstu.service.UtilService;
+import ru.ulstu.target.AnomalyDifferenceSmoothed;
+import ru.ulstu.target.Target;
+
+import java.io.IOException;
+import java.lang.reflect.InvocationTargetException;
+import java.util.concurrent.ExecutionException;
+
+@RestController
+@RequestMapping(ApiConfiguration.API_1_0)
+public class AnomalyController {
+
+    private final DbService dbService;
+    private final Target target;
+
+    public AnomalyController(CompressionMetricService compressionMetricService, DbService dbService, AnomalyDifferenceSmoothed anomalyDifferenceSmoothed) {
+        this.dbService = dbService;
+        this.target = anomalyDifferenceSmoothed;
+    }
+
+    @GetMapping ("getAnomalyAtDifferenceSmothed")
+    @Operation(description = "Получить аномальные значения")
+    public TimeSeries getAnomalyAtDifferenceSmothed(@RequestParam("setKey") String setKey, @RequestParam("timeSeriesKey") String timeSeriesKey) throws ModelingException, ExecutionException, InterruptedException, InvocationTargetException, NoSuchMethodException, InstantiationException, IllegalAccessException, IOException {
+        var timeSeries = dbService.getTimeSeries(new TimeSeriesSet(setKey), timeSeriesKey);
+        var timeSeriesResult = target.calculate(timeSeries);
+        return timeSeriesResult;
+    }
+}

src/main/java/ru/ulstu/controller/CompressionMetricController.java

@@ -0,0 +1,63 @@
+package ru.ulstu.controller;
+
+import io.swagger.v3.oas.annotations.Operation;
+import org.springframework.http.HttpStatus;
+import org.springframework.http.ResponseEntity;
+import org.springframework.web.bind.annotation.*;
+import ru.ulstu.configuration.ApiConfiguration;
+import ru.ulstu.datamodel.exception.ModelingException;
+import ru.ulstu.datamodel.ts.TimeSeries;
+import ru.ulstu.db.DbService;
+import ru.ulstu.db.model.TimeSeriesSet;
+import ru.ulstu.estimate.CompressionMetricService;
+import ru.ulstu.service.PrometheusService;
+import ru.ulstu.service.UtilService;
+import ru.ulstu.target.AnomalyDifferenceSmoothed;
+import ru.ulstu.target.Target;
+
+import java.io.IOException;
+import java.lang.reflect.InvocationTargetException;
+import java.util.concurrent.ExecutionException;
+
+@RestController
+@RequestMapping(ApiConfiguration.API_1_0)
+public class CompressionMetricController {
+
+    private final UtilService utilService;
+    private final DbService dbService;
+    private final PrometheusService prometheusService;
+    private final CompressionMetricService compressionMetricService;
+    private final Target target;
+
+    public CompressionMetricController(UtilService utilService, DbService dbService, PrometheusService prometheusService, CompressionMetricService compressionMetricService, AnomalyDifferenceSmoothed anomalyDifferenceSmoothed) {
+        this.utilService = utilService;
+        this.dbService = dbService;
+        this.prometheusService = prometheusService;
+        this.compressionMetricService = compressionMetricService;
+        this.target = anomalyDifferenceSmoothed;
+    }
+
+    @GetMapping("getMetricAtAnomaly")
+    @Operation(description = "Получить метрику сжатия")
+    public ResponseEntity<TimeSeries> getMetricAtAnomaly(@RequestParam("setKey") String setKey, @RequestParam("timeSeriesKey") String timeSeriesKey) throws ModelingException, ExecutionException, InterruptedException, InvocationTargetException, NoSuchMethodException, InstantiationException, IllegalAccessException, IOException {
+        var timeSeries = dbService.getTimeSeries(new TimeSeriesSet(setKey), timeSeriesKey);
+        var timeSeriesResult = compressionMetricService.getCompressionTimeSeries(timeSeries);
+        return new ResponseEntity<>(timeSeriesResult, HttpStatus.OK);
+    }
+
+    @GetMapping("getMetricAtAnomalyOfRandom")
+    @Operation(description = "Получить метрику сжатия")
+    public ResponseEntity<TimeSeries> getMetricAtAnomalyOfRandom(@RequestParam("lenght") int len) throws ModelingException, ExecutionException, InterruptedException, InvocationTargetException, NoSuchMethodException, InstantiationException, IllegalAccessException {
+        var timeSeries = utilService.getRandomTimeSeries(len);
+        var timeSeriesResult = compressionMetricService.getCompressionTimeSeries(timeSeries);
+        return new ResponseEntity<>(timeSeriesResult, HttpStatus.OK);
+    }
+
+    @GetMapping("getMetricAtAnomalyOfPrometheus")
+    @Operation(description = "Получить метрику сжатия")
+    public ResponseEntity<TimeSeries> getMetricAtAnomalyOfPrometheus(@RequestParam("query") String query) throws ModelingException, ExecutionException, InterruptedException, InvocationTargetException, NoSuchMethodException, InstantiationException, IllegalAccessException {
+        var timeSeries = prometheusService.executionQueryRange(query);
+        var timeSeriesResult = compressionMetricService.getCompressionTimeSeries(timeSeries);
+        return new ResponseEntity<>(timeSeriesResult, HttpStatus.OK);
+    }
+}

src/main/java/ru/ulstu/controller/TimeSeriesController.java

@@ -91,10 +91,4 @@ public class TimeSeriesController {
     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);
-    }
 }

src/main/java/ru/ulstu/datamodel/ts/TimeSeries.java

@@ -5,6 +5,7 @@ import com.fasterxml.jackson.annotation.JsonIgnore;
 import com.fasterxml.jackson.annotation.JsonProperty;
 
 import java.util.ArrayList;
+import java.util.Comparator;
 import java.util.List;
 
 public class TimeSeries {
@@ -88,6 +89,20 @@ public class TimeSeries {
         throw new RuntimeException("Индекс выходит за границы временного ряда");
     }
 
+    public TimeSeriesValue getMax() {
+        if ((values.size() > 0)) {
+            return values.stream().max(Comparator.comparing(TimeSeriesValue::getValue)).get();
+        }
+        throw new RuntimeException("Временной ряд пустой");
+    }
+
+    public TimeSeriesValue getMin() {
+        if ((values.size() > 0)) {
+            return values.stream().min(Comparator.comparing(TimeSeriesValue::getValue)).get();
+        }
+        throw new RuntimeException("Временной ряд пустой");
+    }
+
     @Override
     public String toString() {
         return "TimeSeries{" +

src/main/java/ru/ulstu/estimate/CompressionMetricService.java

@@ -0,0 +1,93 @@
+package ru.ulstu.estimate;
+
+
+import org.springframework.stereotype.Service;
+import ru.ulstu.datamodel.Model;
+import ru.ulstu.datamodel.ModelingResult;
+import ru.ulstu.datamodel.exception.ModelingException;
+import ru.ulstu.datamodel.ts.TimeSeries;
+import ru.ulstu.datamodel.ts.TimeSeriesValue;
+import ru.ulstu.method.MethodParamValue;
+import ru.ulstu.method.ftransform.FTransform;
+import ru.ulstu.score.ScoreMethod;
+import ru.ulstu.service.MethodParamBruteForce;
+import ru.ulstu.service.TimeSeriesService;
+import ru.ulstu.service.UtilService;
+import ru.ulstu.target.AnomalyDifferenceSmoothed;
+
+import java.lang.reflect.InvocationTargetException;
+import java.time.LocalDateTime;
+import java.util.*;
+import java.util.concurrent.*;
+import java.util.stream.Collectors;
+
+@Service
+public class CompressionMetricService {
+
+    private final int DEFAULT_THREAD_COUNT = 10;
+    private final TimeSeriesService timeSeriesService;
+    private final FTransform fTransform;
+    private final MethodParamBruteForce methodParamBruteForce;
+    private final UtilService utilService;
+    private final ScoreMethod scoreMethod;
+
+    private final AnomalyDifferenceSmoothed anomalyDifferenceSmoothed;
+    private final ExecutorService executors = Executors.newFixedThreadPool(DEFAULT_THREAD_COUNT);
+
+    public CompressionMetricService(TimeSeriesService timeSeriesService, FTransform fTransform, MethodParamBruteForce methodParamBruteForce, UtilService utilService, ScoreMethod scoreMethod, AnomalyDifferenceSmoothed anomalyDifferenceSmoothed) {
+        this.timeSeriesService = timeSeriesService;
+        this.fTransform = fTransform;
+        this.methodParamBruteForce = methodParamBruteForce;
+        this.utilService = utilService;
+        this.scoreMethod = scoreMethod;
+        this.anomalyDifferenceSmoothed = anomalyDifferenceSmoothed;
+    }
+
+    public TimeSeries getCompressionTimeSeries(TimeSeries ts) throws ModelingException, ExecutionException, InterruptedException, InvocationTargetException, NoSuchMethodException, InstantiationException, IllegalAccessException {
+        //ModelingResult modelingResult = timeSeriesService.smoothTimeSeries(ts, "FTransform");
+        ModelingResult modelingResult = getCompressionTimeSeriesWithFTransform(ts);
+        //var ts1 = fTransform.getForecast(ts, )
+        var timeSeriesAnomalyResult = anomalyDifferenceSmoothed.calculate(modelingResult.getTimeSeries());
+        var timeSeriesAnomaly = anomalyDifferenceSmoothed.calculate(ts);
+        System.out.println(ts.getLength()+"\t"
+                +timeSeriesAnomaly.getLength()+"\t"
+                +Math.abs(timeSeriesAnomaly.getLength() - timeSeriesAnomalyResult.getLength())+"\t"
+                +(double)modelingResult.getTimeSeries().getLength()/ts.getLength()+"\t"
+                +modelingResult.getScore().getDoubleValue());
+        System.out.println(timeSeriesAnomaly);
+        System.out.println(timeSeriesAnomalyResult);
+        System.out.println(utilService.getTimeSeriesToString(ts));
+        System.out.println(utilService.getTimeSeriesToString(modelingResult.getTimeSeries()));
+        return modelingResult.getTimeSeries();
+    }
+
+    protected ModelingResult getCompressionTimeSeriesWithFTransform(TimeSeries timeSeries) throws ExecutionException, InterruptedException {
+        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));
+
+
+        List<List<MethodParamValue>> availableParametersValues = methodParamBruteForce.getAvailableParametersValues(timeSeries, fTransform.getAvailableParameters());
+        for (List<MethodParamValue> parametersValues : availableParametersValues) {
+            results.add(executors.submit(() -> {
+                Model model = fTransform.getModel(timeSeries, parametersValues);
+                return new ModelingResult(model.getTimeSeriesModel(),
+                        null,
+                        parametersValues,
+                        scoreMethod.getScore(tsValues, model.getTimeSeriesModel()), fTransform);
+            }));
+        }
+
+
+        for (Future<ModelingResult> futureModelingResult : results) {
+            results2.add(futureModelingResult.get());
+        }
+        return results2.stream()
+                .min(Comparator.comparing(modelingResult -> modelingResult.getScore().getDoubleValue()))
+                .orElse(null);
+    }
+
+}

src/main/java/ru/ulstu/http/HttpClientService.java

@@ -0,0 +1,11 @@
+package ru.ulstu.http;
+
+import org.springframework.stereotype.Service;
+
+@Service
+public class HttpClientService {
+
+    public void get(){
+
+    }
+}

src/main/java/ru/ulstu/http/WebClientService.java

@@ -0,0 +1,66 @@
+package ru.ulstu.http;
+
+import org.json.JSONArray;
+import org.json.JSONObject;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+import org.springframework.http.MediaType;
+import org.springframework.stereotype.Service;
+import org.springframework.web.reactive.function.BodyInserters;
+import org.springframework.web.reactive.function.client.WebClient;
+
+import java.time.Duration;
+import java.util.Optional;
+
+@Service
+public class WebClientService {
+    private final Logger log = LoggerFactory.getLogger(WebClientService.class);
+    private final WebClient client;
+
+    public WebClientService(WebClient client) {
+        this.client = client;
+    }
+
+    public JSONObject post(String url, JSONObject postData) {
+        log.debug("Service call: {}", url);
+        JSONObject response = null;
+        try {
+            response = new JSONObject(Optional.ofNullable(client
+                    .post()
+                    .uri(url)
+                    .contentType(MediaType.APPLICATION_JSON)
+                    .body(BodyInserters.fromValue(postData.toString()))
+                    .accept(MediaType.APPLICATION_JSON)
+                    .retrieve()
+                    .bodyToMono(String.class)
+                    .toFuture().get()).orElse("{response:\"empty\"}"));
+        } catch (Exception e) {
+            return new JSONObject("{response:\"empty\"}");
+        }
+        log.debug("Service response: {}", response);
+        return response;
+    }
+
+    public JSONArray get(String url) {
+        log.debug("Service call: {}", url);
+        try {
+            String response = client
+                    .get()
+                    .uri(url)
+                    .accept(MediaType.APPLICATION_JSON)
+                    .retrieve()
+                    .bodyToMono(String.class)
+                    .timeout(Duration.ofMinutes(1))
+                    .toFuture().get();
+            if (response.startsWith("[")) {
+                return new JSONArray(response);
+            } else {
+                JSONArray jsonArray = new JSONArray();
+                jsonArray.put(0, new JSONObject(response));
+                return jsonArray;
+            }
+        } catch (Exception e) {
+            throw new RuntimeException(e);
+        }
+    }
+}

src/main/java/ru/ulstu/method/ftransform/AComponent.java

@@ -1,21 +1,21 @@
 package ru.ulstu.method.ftransform;
 
 /**
- * Треугольная функция принадлежности
+ * Базисная функция
  */
 public class AComponent {
-    private int start;  //  левая граница треугольника
-    private int end;   // правая граница треугольника
-    private int top;  // вершина треугольника
+    private double start;  //  левая граница треугольника
+    private double end;   // правая граница треугольника
+    private double top;  // вершина треугольника
 
-    public int getStart() {
+    public double getStart() {
         return start;
     }
 
     public AComponent() {
     }
 
-    public AComponent(int start, int top, int end) {
+    public AComponent(double start, double top, double end) {
         this.start = start;
         this.top = top;
         this.end = end;
@@ -26,19 +26,23 @@ public class AComponent {
     }
 
 
-    public int getEnd() {
+    public double getEnd() {
         return end;
     }
 
-    public void setEnd(int end) {
+    public void setEnd(double end) {
         this.end = end;
     }
 
-    public int getTop() {
+    public double getTop() {
         return top;
     }
 
-    public void setTop(int top) {
+    public int getTopInt() {
+        return (int) Math.round(top);
+    }
+
+    public void setTop(double top) {
         this.top = top;
     }
 
@@ -54,4 +58,9 @@ public class AComponent {
         }
         return 0;
     }
+
+    @Override
+    public String toString() {
+        return "start=" + start;
+    }
 }

src/main/java/ru/ulstu/method/ftransform/FTransform.java

@@ -3,14 +3,19 @@ package ru.ulstu.method.ftransform;
 import org.springframework.stereotype.Component;
 import ru.ulstu.datamodel.Model;
 import ru.ulstu.datamodel.ts.TimeSeries;
+import ru.ulstu.datamodel.ts.TimeSeriesValue;
 import ru.ulstu.method.Method;
 import ru.ulstu.method.MethodParamValue;
 import ru.ulstu.method.MethodParameter;
 
+import java.util.ArrayList;
+import java.util.HashMap;
 import java.util.List;
+import java.util.Map;
 
 @Component
 public class FTransform extends Method {
+    private final static int NUMBER_OF_FUZZY_VALUES = 3;
 
     @Override
     protected FTransformModel getModelOfValidTimeSeries(TimeSeries ts,
@@ -29,8 +34,8 @@ public class FTransform extends Method {
                 sum1 += membership * ts.getNumericValue(j);
                 sum2 += membership;
             }
-            piecewiseLinearTrend.addValue(ts.getValue(aComponent.getTop()), sum1 / sum2);
-            tsModel.addValue(ts.getValue(aComponent.getTop()), sum1 / sum2);
+            piecewiseLinearTrend.addValue(ts.getValue(aComponent.getTopInt()), sum1 / sum2);
+            tsModel.addValue(ts.getValue(aComponent.getTopInt()), sum1 / sum2);
         }
         return model;
     }
@@ -41,27 +46,27 @@ public class FTransform extends Method {
         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);
+                    : piecewiseLinearTrend.get(piecewiseLinearTrend.size() - 1).getTopInt();
+            AComponent aComponent = new AComponent(startPoint, currentPoint, (int) (currentPoint + Math.round(numberOfCoveredPoints / 2.0)));
+            if (aComponent.getStart() < 0) {
+                aComponent.setStart(0);
             }
-            if (bf.getEnd() > ts.getLength() - 1) {
-                bf.setEnd(ts.getLength() - 1);
+            if (aComponent.getEnd() > ts.getLength() - 1) {
+                aComponent.setEnd(ts.getLength() - 1);
             }
 
-            if (bf.getTop() > ts.getLength() - 1) {
-                bf.setTop(ts.getLength() - 1);
+            if (aComponent.getTop() > ts.getLength() - 1) {
+                aComponent.setTop(ts.getLength() - 1);
             }
 
-            piecewiseLinearTrend.add(bf);
+            piecewiseLinearTrend.add(aComponent);
             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(),
+            AComponent aComponent = new AComponent(piecewiseLinearTrend.get(piecewiseLinearTrend.size() - 1).getTop(),
                     piecewiseLinearTrend.get(piecewiseLinearTrend.size() - 1).getEnd(),
                     piecewiseLinearTrend.get(piecewiseLinearTrend.size() - 1).getEnd());
-            piecewiseLinearTrend.add(bf);
+            piecewiseLinearTrend.add(aComponent);
         }
         return piecewiseLinearTrend;
     }
@@ -69,6 +74,25 @@ public class FTransform extends Method {
     @Override
     protected TimeSeries getForecastWithValidParams(Model model, TimeSeries forecast) {
         FTransformModel fTransformModel = (FTransformModel) model;
+        double minValue = fTransformModel.getPiecewiseLinearTrend().getValues().stream().map(TimeSeriesValue::getValue).min(Double::compareTo).orElse(0.0);
+        double maxValue = fTransformModel.getPiecewiseLinearTrend().getValues().stream().map(TimeSeriesValue::getValue).max(Double::compareTo).orElse(0.0);
+        List<AComponent> fuzzyValues = new ArrayList<>();
+        double diff = (maxValue - minValue) / NUMBER_OF_FUZZY_VALUES;
+        for (int i = 0; i < NUMBER_OF_FUZZY_VALUES; i++) {
+            fuzzyValues.add(new AComponent(minValue + i * diff, minValue + i * diff + diff / 2, minValue + i * diff + diff));
+        }
+        List<AComponent> fuzzyTimeSeries = new ArrayList<>();
+
+        for (int i = 0; i < model.getTimeSeriesModel().getLength(); i++) {
+            for (AComponent fuzzyValue : fuzzyValues) {
+                if (model.getTimeSeriesModel().getValue(i).getValue() >= fuzzyValue.getStart()
+                        && model.getTimeSeriesModel().getValue(i).getValue() <= fuzzyValue.getEnd()) {
+                    fuzzyTimeSeries.add(fuzzyValue);
+                }
+            }
+        }
+
+
         for (int t = 1; t < forecast.getLength(); t++) {
             forecast.getValues().get(t).setValue(fTransformModel.getPiecewiseLinearTrend().getLastValue().getValue());
         }
@@ -80,6 +104,16 @@ public class FTransform extends Method {
         return FTransformModel.getAvailableParameters();
     }
 
+//    private AComponent findFuzzyValueByPrevious(List<AComponent> fuzzyTimeSeries, AComponent currentFuzzyValue) {
+//        Map<AComponent, Integer> mostFrequentValues = new HashMap<>();
+//        for (int i = 0; i < fuzzyTimeSeries.size() - 1; i++) {
+//            if (fuzzyTimeSeries.get(i).equals(currentFuzzyValue)) {
+//                mostFrequentValues.put(fuzzyTimeSeries.get(i + 1), mostFrequentValues.getOrDefault(fuzzyTimeSeries.get(i + 1), 0) + 1);
+//            }
+//        }
+//        mostFrequentValues.entrySet().stream()
+//    }
+
     @Override
     public String getName() {
         return "F - преобразование";

src/main/java/ru/ulstu/score/AnomalyCompressionScore.java

@@ -0,0 +1,32 @@
+package ru.ulstu.score;
+
+import org.springframework.stereotype.Component;
+import ru.ulstu.datamodel.exception.ModelingException;
+import ru.ulstu.datamodel.ts.TimeSeries;
+import ru.ulstu.datamodel.ts.TimeSeriesValue;
+import ru.ulstu.target.AnomalyDifferenceSmoothed;
+
+import java.lang.reflect.InvocationTargetException;
+import java.time.LocalDateTime;
+import java.util.Map;
+import java.util.concurrent.ExecutionException;
+
+import static java.lang.Math.abs;
+
+@Component
+public class AnomalyCompressionScore extends ScoreMethod {
+
+    private final AnomalyDifferenceSmoothed anomalyDifferenceSmoothed;
+    public AnomalyCompressionScore(AnomalyDifferenceSmoothed anomalyDifferenceSmoothed) {
+        super("Smape, %");
+        this.anomalyDifferenceSmoothed = anomalyDifferenceSmoothed;
+    }
+
+    @Override
+    public Number evaluate(Map<LocalDateTime, Double> tsValues, TimeSeries model) throws ModelingException, ExecutionException, InterruptedException, InvocationTargetException, NoSuchMethodException, InstantiationException, IllegalAccessException {
+        var timeSeriesAnomalyResult = anomalyDifferenceSmoothed.calculate(model);
+        var timeSeriesAnomaly = anomalyDifferenceSmoothed.calculate(tsValues);
+        // туду: добавить сравнение аномальных точек
+        return (double)model.getLength()/tsValues.size() + Math.abs(timeSeriesAnomaly.getLength() - timeSeriesAnomalyResult.getLength());
+    }
+}

src/main/java/ru/ulstu/score/ScoreMethod.java

@@ -5,9 +5,11 @@ import ru.ulstu.datamodel.exception.ModelingException;
 import ru.ulstu.datamodel.ts.TimeSeries;
 import ru.ulstu.datamodel.ts.TimeSeriesValue;
 
+import java.lang.reflect.InvocationTargetException;
 import java.time.LocalDateTime;
 import java.util.Map;
 import java.util.Optional;
+import java.util.concurrent.ExecutionException;
 
 public abstract class ScoreMethod {
     private final String name;
@@ -16,11 +18,11 @@ public abstract class ScoreMethod {
         this.name = name;
     }
 
-    public Score getScore(Map<LocalDateTime, Double> tsValues, TimeSeries model) throws ModelingException {
+    public Score getScore(Map<LocalDateTime, Double> tsValues, TimeSeries model) throws ModelingException, ExecutionException, InterruptedException, InvocationTargetException, NoSuchMethodException, InstantiationException, IllegalAccessException {
         return new Score(this, evaluate(tsValues, model));
     }
 
-    public abstract Number evaluate(Map<LocalDateTime, Double> tsValues, TimeSeries model) throws ModelingException;
+    public abstract Number evaluate(Map<LocalDateTime, Double> tsValues, TimeSeries model) throws ModelingException, ExecutionException, InterruptedException, InvocationTargetException, NoSuchMethodException, InstantiationException, IllegalAccessException;
 
     public String getName() {
         return name;

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

@@ -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;
 
@@ -29,7 +28,7 @@ import java.util.concurrent.Future;
 import java.util.stream.Collectors;
 
 @Service
-class MethodParamBruteForce {
+public class MethodParamBruteForce {
     private final int DEFAULT_THREAD_COUNT = 50;
     private final List<Method> methods;
     private final ScoreMethod scoreMethod = new Smape();
@@ -164,36 +163,6 @@ 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))
@@ -206,7 +175,7 @@ class MethodParamBruteForce {
         return getSmoothedTimeSeries(timeSeries, methods);
     }
 
-    private List<List<MethodParamValue>> getAvailableParametersValues(TimeSeries timeSeries, List<MethodParameter> availableParameters) {
+    public List<List<MethodParamValue>> getAvailableParametersValues(TimeSeries timeSeries, List<MethodParameter> availableParameters) {
         List<List<MethodParamValue>> result = new ArrayList<>();
         Map<MethodParameter, Integer> parameterOffset = new TreeMap<>();
         Map<MethodParameter, List<Number>> parameterValues = new TreeMap<>();

src/main/java/ru/ulstu/service/PrometheusService.java

@@ -0,0 +1,87 @@
+package ru.ulstu.service;
+
+import org.json.JSONObject;
+import org.springframework.stereotype.Service;
+import org.springframework.web.util.UriComponentsBuilder;
+import ru.ulstu.datamodel.ts.TimeSeries;
+import ru.ulstu.datamodel.ts.TimeSeriesValue;
+import ru.ulstu.http.WebClientService;
+
+import java.math.BigDecimal;
+import java.time.Instant;
+import java.time.LocalDateTime;
+import java.time.ZoneId;
+import java.time.temporal.ChronoUnit;
+import java.util.ArrayList;
+
+@Service
+public class PrometheusService {
+
+    private static final String PROMETHEUS_API_URL = "http://prometheus.athene.tech/api/v1/";
+    private final WebClientService httpService;
+
+    public PrometheusService(WebClientService httpService) {
+        this.httpService = httpService;
+    }
+
+    public TimeSeries executionQuery(String query){ // example: pve_cpu_usage_ratio{id="lxc/111"}[5h]
+        var timeSeries = new TimeSeries();
+        UriComponentsBuilder builder = UriComponentsBuilder.fromHttpUrl(PROMETHEUS_API_URL + "query")
+                .queryParam("query",
+                        "pve_cpu_usage_ratio{id='lxc/111'}[1h]");
+
+        var response = httpService.get(PROMETHEUS_API_URL + "query?query=" + query);
+        if (response.getJSONObject(0).getString("status").equals("success")){
+
+        }
+        return timeSeries;
+    }
+
+    public TimeSeries executionQueryPost(String query){ // example: pve_cpu_usage_ratio{id="lxc/111"}[5h]
+        var timeSeries = new TimeSeries();
+        var postData = new JSONObject();
+        postData.put("query", query);
+        var response = httpService.post(PROMETHEUS_API_URL + "query", postData);
+//        if (response.getJSONObject(0).getString("status").equals("success")){
+//
+//        }
+        return timeSeries;
+    }
+
+    public TimeSeries executionQueryRange(String query){
+        int numberTimeSeries = 14;
+        var nowDateTime = LocalDateTime.now().truncatedTo(ChronoUnit.SECONDS);
+        var timeSeries = new TimeSeries();
+        var response = httpService.get(PROMETHEUS_API_URL + "query_range?query=" + query +
+                "&start=" + nowDateTime.minusHours(10).minusMinutes(100).toString()+".004Z" +
+                "&end=" + nowDateTime.minusHours(10).toString()+".004Z" +
+                "&step=15s");
+        var array = response.getJSONObject(0).getJSONObject("data").getJSONArray("result").getJSONObject(numberTimeSeries).getJSONArray("values").toList();
+        for (int i = 0; i < array.size(); i++) {
+            BigDecimal seconds = (BigDecimal)(((ArrayList) array.get(i)).get(0));
+            Double value = Double.parseDouble((String)(((ArrayList) array.get(i)).get(1)));
+            LocalDateTime dateTime =
+                    LocalDateTime.ofInstant(Instant.ofEpochSecond(seconds.longValue()), ZoneId.systemDefault());
+            timeSeries.addValue(new TimeSeriesValue(dateTime, value));
+        }
+        return timeSeries;
+    }
+
+    public TimeSeries executionQueryRangePost(String query){
+        var timeSeries = new TimeSeries();
+        var postData = new JSONObject();
+        postData.put("query", query);
+        postData.put("start", "2023-04-06T00:00:00.004Z");
+        postData.put("end", "2023-04-07T00:00:00.004Z");
+        postData.put("step", "15s");
+
+        var response = httpService.post(PROMETHEUS_API_URL + "query_range", postData);
+//        response.getJSONObject();
+//        if (response.getJSONObject(0).getString("status").equals("success")){
+//            var array = response.getJSONObject(0).getJSONObject("data").getJSONArray("result");
+//            int a = 5;
+//        }
+        return timeSeries;
+    }
+
+}

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

@@ -40,10 +40,6 @@ 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();
     }
@@ -58,7 +54,7 @@ public class TimeSeriesService {
 
     public TimeSeries getGroupedTendencies(TimeSeries timeSeries) {
         try {
-            timeSeries = getMaxSmoothedTimeSeries(timeSeries).getTimeSeries();
+            timeSeries = smoothTimeSeries(timeSeries, "FTransform").getTimeSeries();
         } catch (Exception e) {
             e.printStackTrace();
         }
@@ -81,7 +77,7 @@ public class TimeSeriesService {
 
     private boolean tsTendencyNotChanged(double diff, double prevDiff) {
         return (diff > 0 && prevDiff > 0)
-                || (diff < 0 && prevDiff < 0)
-                || (diff == 0 && prevDiff == 0);
+                || ((diff < 0 && prevDiff < 0)
+                || ((diff == 0 && prevDiff == 0)));
     }
 }

src/main/java/ru/ulstu/target/AnomalyDecompose.java

@@ -0,0 +1,17 @@
+package ru.ulstu.target;
+
+import org.springframework.stereotype.Service;
+import ru.ulstu.datamodel.ts.TimeSeries;
+
+@Service
+public class AnomalyDecompose extends Target {
+    public AnomalyDecompose() {
+        super("Разложение");
+    }
+
+    @Override
+    public TimeSeries calculate(TimeSeries model) {
+
+        return null;
+    }
+}

src/main/java/ru/ulstu/target/AnomalyDifferenceSmoothed.java

@@ -0,0 +1,46 @@
+package ru.ulstu.target;
+
+import org.springframework.stereotype.Service;
+import ru.ulstu.datamodel.ModelingResult;
+import ru.ulstu.datamodel.exception.ModelingException;
+import ru.ulstu.datamodel.ts.TimeSeries;
+import ru.ulstu.datamodel.ts.TimeSeriesValue;
+import ru.ulstu.service.TimeSeriesService;
+
+import java.lang.reflect.InvocationTargetException;
+import java.util.concurrent.ExecutionException;
+
+@Service
+public class AnomalyDifferenceSmoothed extends Target {
+
+    private final TimeSeriesService timeSeriesService;
+
+    public AnomalyDifferenceSmoothed(TimeSeriesService timeSeriesService) {
+        super("Модель сравнения со сглаженным ВР");
+        this.timeSeriesService = timeSeriesService;
+    }
+
+    @Override
+    public TimeSeries calculate(TimeSeries timeSeries) throws ModelingException, ExecutionException, InterruptedException, InvocationTargetException, NoSuchMethodException, InstantiationException, IllegalAccessException {
+        TimeSeries residual = new TimeSeries();
+        TimeSeries anomalyPoints = new TimeSeries();
+
+        TimeSeries timeSeriesSmooth = timeSeriesService.smoothTimeSeries(timeSeries, "AddTrendAddSeason").getTimeSeries();
+
+        for (int i = 0; i < timeSeries.getLength(); i++) {
+            residual.addValue(new TimeSeriesValue(timeSeries.getValue(i).getDate(),
+                    Math.abs(timeSeries.getNumericValue(i) - timeSeriesSmooth.getNumericValue(i))));
+        }
+
+        double diff = timeSeries.getMax().getValue()-timeSeries.getMin().getValue();
+
+        for (int i = 0; i < residual.getLength(); i++) {
+            if (residual.getNumericValue(i)/diff > 0.05) {
+                anomalyPoints.addValue(new TimeSeriesValue(residual.getValue(i).getDate(),
+                        timeSeries.getNumericValue(i)));
+            }
+        }
+
+        return anomalyPoints;
+    }
+}

src/main/java/ru/ulstu/target/AnomalyPredictive.java

@@ -0,0 +1,14 @@
+package ru.ulstu.target;
+
+import ru.ulstu.datamodel.ts.TimeSeries;
+
+public class AnomalyPredictive extends Target {
+    public AnomalyPredictive() {
+        super("Прогнозная модель, %");
+    }
+
+    @Override
+    public TimeSeries calculate(TimeSeries model) {
+        return null;
+    }
+}

src/main/java/ru/ulstu/target/Target.java

@@ -0,0 +1,32 @@
+package ru.ulstu.target;
+
+import ru.ulstu.datamodel.exception.ModelingException;
+import ru.ulstu.datamodel.ts.TimeSeries;
+import ru.ulstu.datamodel.ts.TimeSeriesValue;
+
+import java.lang.reflect.InvocationTargetException;
+import java.time.LocalDateTime;
+import java.util.Map;
+import java.util.concurrent.ExecutionException;
+
+public abstract class Target {
+    private final String name;
+
+    public Target(String name) {
+        this.name = name;
+    }
+
+    public String getName() {
+        return name;
+    }
+
+    public abstract TimeSeries calculate(TimeSeries model) throws ModelingException, ExecutionException, InterruptedException, InvocationTargetException, NoSuchMethodException, InstantiationException, IllegalAccessException;
+
+    public TimeSeries calculate(Map<LocalDateTime, Double> values) throws ModelingException, ExecutionException, InterruptedException, InvocationTargetException, NoSuchMethodException, InstantiationException, IllegalAccessException {
+        TimeSeries model = new TimeSeries();
+        for (var entry : values.entrySet()) {
+            model.addValue(new TimeSeriesValue(entry.getKey(), entry.getValue()));
+        }
+        return calculate(model);
+    }
+}

src/main/resources/application.properties

@@ -2,6 +2,7 @@ spring.main.banner-mode=off
 logging.level.tech.athene=DEBUG
 server.port=8080
 spring.jackson.serialization.WRITE_DATES_AS_TIMESTAMPS=false
+spring.codec.max-in-memory-size=50MB
 joinfaces.primefaces.theme=afterwork
 joinfaces.primefaces.font-awesome=true
 time-series.db-path=time-series-db

time-series-db/Economics Axioms/Коэффициент привлечения (соотношения собственных и заемных средств).csv

@@ -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

time-series-db/Economics Axioms/Коэффициент привлечения (соотношения собственных и заемных средств).csv.meta

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

time-series-db/Economics Axioms/Коэффициент быстрой ликвидности.csv

@@ -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

time-series-db/Economics Axioms/Коэффициент быстрой ликвидности.csv.meta

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

time-series-db/Economics Axioms/Коэффициент текущей ликвидности (общий коэффициент покрытия).csv

@@ -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
-2005-06-30T09:32:57.120554;3.395716655
-2005-09-30T09:32:57.120554;1.613323605
-2005-12-31T09:32:57.120554;1.611867075

time-series-db/Economics Axioms/Коэффициент текущей ликвидности (общий коэффициент покрытия).csv.meta

@@ -1 +0,0 @@
-{"key":"Коэффициент текущей ликвидности (общий коэффициент покрытия)","size":1,"hasDateTime":true}

time-series-db/Economics Axioms/Коэффициент финансовой независимости в части запасов.csv

@@ -1,13 +0,0 @@
-2003-01-01T09:32:57.120554;0.586771111175797
-2003-04-29T09:32:57.120554;0.343606035205365
-2003-07-30T09:32:57.120554;0.359502703447326
-2003-10-30T09:32:57.120554;0.187929277660206
-2004-01-01T09:32:57.120554;0.472922641735106
-2004-04-30T09:32:57.120554;0.635048328717729
-2004-07-29T09:32:57.120554;0.412477322619393
-2004-10-27T09:32:57.120554;-0.181247674929825
-2005-01-01T09:32:57.120554;0.926970037468583
-2005-04-29T09:32:57.120554;1.19972749523911
-2005-06-30T09:32:57.120554;0.910978749042943
-2005-09-30T09:32:57.120554;0.607577389445363
-2005-12-31T09:32:57.120554;0.644891997049848

time-series-db/Economics Axioms/Коэффициент финансовой независимости в части запасов.csv.meta

@@ -1 +0,0 @@
-{"key":"Коэффициент финансовой независимости в части запасов","size":1,"hasDateTime":true}

time-series-db/Economics Axioms/Коэффициент финансовой независимости в части оборотных средств.csv

@@ -1,13 +0,0 @@
-2003-01-01T09:32:57.120554;0.464244025721368
-2003-04-29T09:32:57.120554;0.238104006194206
-2003-07-30T09:32:57.120554;0.22208010974147
-2003-10-30T09:32:57.120554;0.115559089408091
-2004-01-01T09:32:57.120554;0.271164241921994
-2004-04-30T09:32:57.120554;0.388022043930572
-2004-07-29T09:32:57.120554;0.313497856925371
-2004-10-27T09:32:57.120554;-0.128112382837432
-2005-01-01T09:32:57.120554;0.630680746445687
-2005-04-29T09:32:57.120554;0.859169160805333
-2005-06-30T09:32:57.120554;0.705511353980947
-2005-09-30T09:32:57.120554;0.380161551500197
-2005-12-31T09:32:57.120554;0.379603884562761

time-series-db/Economics Axioms/Коэффициент финансовой независимости в части оборотных средств.csv.meta

@@ -1 +0,0 @@
-{"key":"Коэффициент финансовой независимости в части оборотных средств","size":1,"hasDateTime":true}

time-series-db/Economics Axioms/Коэффициент финансовой независимости.csv

@@ -1,13 +0,0 @@
-2003-01-01T09:32:57.120554;0.565999794
-2003-04-29T09:32:57.120554;0.285731545
-2003-07-30T09:32:57.120554;0.281643961
-2003-10-30T09:32:57.120554;0.240160533
-2004-01-01T09:32:57.120554;0.309208419
-2004-04-30T09:32:57.120554;0.431034912
-2004-07-29T09:32:57.120554;0.430499733
-2004-10-27T09:32:57.120554;0.049138358
-2005-01-01T09:32:57.120554;0.865752552
-2005-04-29T09:32:57.120554;1.178519969
-2005-06-30T09:32:57.120554;0.964092382
-2005-09-30T09:32:57.120554;0.574686633
-2005-12-31T09:32:57.120554;0.519997576

time-series-db/Economics Axioms/Коэффициент финансовой независимости.csv.meta

@@ -1 +0,0 @@
-{"key":"Коэффициент финансовой независимости","size":1,"hasDateTime":true}

time-series-db/Экономические ВР/Баланс. разделы I-II.csv

@@ -1,11 +0,0 @@
-2003-03-30T09:32:57.120554;4328.993
-2003-04-29T09:32:57.120554;1803.609
-2003-07-30T09:32:57.120554;2490.247
-2003-10-30T09:32:57.120554;4083.334
-2004-03-29T09:32:57.120554;3090.535
-2004-04-29T09:32:57.120554;3726.734
-2004-10-27T09:32:57.120554;3939.825
-2005-04-30T09:32:57.120554;2550.127
-2005-06-30T09:32:57.120554;3090.535
-2005-09-30T09:32:57.120554;5174.083
-2005-12-31T09:32:57.120554;7018.805

time-series-db/Экономические ВР/Баланс. разделы I-II.csv.meta

@@ -1 +0,0 @@
-{"key":"Баланс. разделы I-II","size":1,"hasDateTime":true}

time-series-db/Экономические ВР/Баланс. разделы III-V.csv

@@ -1,12 +0,0 @@
-2003-03-30T09:32:57.120554;4328.993
-2003-04-29T09:32:57.120554;1803.605
-2003-07-30T09:32:57.120554;2490.247
-2003-10-30T09:32:57.120554;4083.339
-2004-04-30T09:32:57.120554;3726.734
-2004-07-29T09:32:57.120554;4435.276
-2004-10-27T09:32:57.120554;3939.825
-2005-03-29T09:32:57.120554;3090.535
-2005-04-29T09:32:57.120554;2550.127
-2005-06-30T09:32:57.120554;3118.025
-2005-10-28T09:32:57.120554;5174.083
-2005-12-31T09:32:57.120554;7018.8

time-series-db/Экономические ВР/Баланс. разделы III-V.csv.meta

@@ -1 +0,0 @@
-{"key":"Баланс. разделы III-V","size":1,"hasDateTime":true}

time-series-db/Экономические ВР/Выручка(нетто) от продажи товаров, продукций, работ, услуг(за минусом НДС, акцизов и аналог-х обяз-х платежей).csv

@@ -1,12 +0,0 @@
-2003-04-29T09:32:57.120554;1420.22
-2003-04-30T09:32:57.120554;2182.179
-2003-10-30T09:32:57.120554;2726.25
-2004-03-30T09:32:57.120554;4287.209
-2004-04-30T09:32:57.120554;515.966
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