Created module for Drutes predictions.

config/drutesSenslog1.yaml

@@ -0,0 +1,21 @@
+
+settings:
+    - Drutes:
+        name: "Drutes predictions"
+        provider: "cz.senslog.connector.fetch.drutes.ConnectorFetchDrutesProvider"
+
+        baseDir: "C:\Users\Lukas Cerny\Desktop\data\drutes-predict"
+
+    - SenslogV1:
+        name: "Senslog V1"
+        provider: "cz.senslog.connector.push.rest.senslog.v1.SenslogV1ConnectorPushProvider"
+        host:
+            domain: "https://sensor.lesprojekt.cz/DBServiceST"
+            path: "FeederServlet"
+
+connectors:
+    - DrutesSenslogV1:
+        fetcher: "Drutes"
+        pusher: "SenslogV1"
+        period: 5
+        initDelay: 1

config/lorawanSenslog1.yaml

@@ -8,7 +8,7 @@ settings:
     - AzureLoraWan:
         name: "IoT LoraWan"
         provider: "cz.senslog.connector.fetch.azure.ConnectorFetchAzureProvider"
-        startDate: 2021-07-09T00:00:00.000
+        startDate: 2020-10-24T00:00:00.000
 #        startDate: 2021-04-08T00:00:00.000
        # endDate: 2021-04-27T00:00:00.000
         limitPerSensor: 300
@@ -29,19 +29,19 @@ settings:
             password: "SensLogIMA1"
             refreshPeriodIfFail: 10000
 
-        sessionProxy:
-            user: "afarcloud"
-            group: "afc"
-            lastObservationHost:
-              <<: *senslogApiDomain
-              path: "SensorService"
+#        sessionProxy:
+#            user: "afarcloud"
+#            group: "afc"
+#            lastObservationHost:
+#              <<: *senslogApiDomain
+#              path: "SensorService"
 
         allowedStation:
             # eui:
            # "8CF9574000000948":
            # "8CF95740000008AE":
-            "086BD7D4B501":    # not new data at Azure (up to date at SensLog)
-           # "90FD9FA5F420":    # not registered yet
+#            "086BD7D4B501":    # not new data at Azure (up to date at SensLog)
+            "90FD9FA5F420":    # not registered yet
 
         
     - SenslogV1:
@@ -55,5 +55,5 @@ connectors:
     - AzureSenslogV1:
         fetcher: "AzureLoraWan"
         pusher: "SenslogV1"
-        period: 20
+        period: 5
         initDelay: 1

config/senslog1AFarCloud.yaml

@@ -26,8 +26,10 @@ settings:
 
         allowedStation:
             # station_id: [sensor_id]
-             "20062496": [340470000, 590030000, 600030000]
-             "20046337": [340470000, 590030000, 600030000]
+             "20062496": [600030000]
+#             "20062496": [340470000, 590030000, 600030000]
+#             "20046337": [340470000, 590030000, 600030000]
+             "20046337": [600030000]
             # "10002222": [340020000, 410010000, 560030000]
             # "10002376": [340020000, 410010000, 560030000]
             # "1305167562287832": [340420000, 410180000, 360200000, 460090000, 470160000, 470180000, 480080000, 620030000]
@@ -54,5 +56,5 @@ connectors:
     - SenslogToAFC:
         fetcher: "Senslog"
         pusher: "AFC"
-        period: 10
+        period: 5
         initDelay: 5

connector-fetch-drutes/pom.xml

@@ -0,0 +1,38 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project xmlns="http://maven.apache.org/POM/4.0.0"
+         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+    <parent>
+        <artifactId>connectors</artifactId>
+        <groupId>cz.senslog</groupId>
+        <version>1.0-SNAPSHOT</version>
+    </parent>
+    <modelVersion>4.0.0</modelVersion>
+
+    <artifactId>connector-fetch-drutes</artifactId>
+    <name>fetch-drutes</name>
+    <version>${project.parent.version}</version>
+    <packaging>jar</packaging>
+
+    <dependencies>
+        <dependency>
+            <groupId>cz.senslog</groupId>
+            <artifactId>connector-fetch-api</artifactId>
+            <version>${project.parent.version}</version>
+        </dependency>
+        <dependency>
+            <groupId>cz.senslog</groupId>
+            <artifactId>common</artifactId>
+            <version>1.0.0</version>
+        </dependency>
+    </dependencies>
+
+    <build>
+        <plugins>
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-assembly-plugin</artifactId>
+            </plugin>
+        </plugins>
+    </build>
+</project>

connector-fetch-drutes/src/main/java/cz/senslog/connector/fetch/drutes/ConnectorFetchDrutesProvider.java

@@ -0,0 +1,33 @@
+package cz.senslog.connector.fetch.drutes;
+
+import cz.senslog.connector.fetch.api.ConnectorFetchProvider;
+import cz.senslog.connector.fetch.api.ConnectorFetcher;
+import cz.senslog.connector.fetch.api.ExecutableFetcher;
+import cz.senslog.connector.model.config.DefaultConfig;
+import cz.senslog.connector.model.drutes.DrutesModel;
+import org.apache.logging.log4j.LogManager;
+import org.apache.logging.log4j.Logger;
+
+
+public final class ConnectorFetchDrutesProvider implements ConnectorFetchProvider {
+
+    private static final Logger logger = LogManager.getLogger(ConnectorFetchDrutesProvider.class);
+
+    @Override
+    public ExecutableFetcher<DrutesModel> createExecutableFetcher(DefaultConfig defaultConfig) {
+        logger.info("Initialization a new fetch provider {}.", ConnectorFetchDrutesProvider.class);
+
+        logger.debug("Creating a new configuration.");
+        DrutesConfig config = new DrutesConfig(defaultConfig);
+        logger.info("Configuration for {} was created successfully.", ConnectorFetcher.class);
+
+        logger.debug("Creating a new instance of {}.", DrutesFetcher.class);
+        DrutesFetcher fetcher = new DrutesFetcher(config);
+        logger.info("Fetcher for {} was created successfully.", DrutesFetcher.class);
+
+        ExecutableFetcher<DrutesModel> executor = ExecutableFetcher.create(fetcher);
+        logger.info("Fetcher executor for {} was created successfully.", DrutesFetcher.class);
+
+        return executor;
+    }
+}

connector-fetch-drutes/src/main/java/cz/senslog/connector/fetch/drutes/DrutesConfig.java

@@ -0,0 +1,16 @@
+package cz.senslog.connector.fetch.drutes;
+
+import cz.senslog.connector.model.config.DefaultConfig;
+
+public class DrutesConfig {
+
+    private final String baseDir;
+
+    public DrutesConfig(DefaultConfig config) {
+        this.baseDir = config.getStringProperty("baseDir");
+    }
+
+    public String getBaseDir() {
+        return baseDir;
+    }
+}

connector-fetch-drutes/src/main/java/cz/senslog/connector/fetch/drutes/DrutesFetcher.java

@@ -0,0 +1,213 @@
+package cz.senslog.connector.fetch.drutes;
+
+import cz.senslog.connector.fetch.api.ConnectorFetcher;
+import cz.senslog.connector.model.api.VoidSession;
+import cz.senslog.connector.model.drutes.DrutesModel;
+import cz.senslog.connector.model.drutes.PredictionData;
+import org.apache.logging.log4j.LogManager;
+import org.apache.logging.log4j.Logger;
+
+import java.io.IOException;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.nio.file.Paths;
+import java.time.LocalDateTime;
+import java.time.OffsetDateTime;
+import java.util.*;
+import java.util.stream.Collectors;
+import java.util.stream.Stream;
+
+import static java.lang.Double.parseDouble;
+import static java.lang.Integer.parseInt;
+import static java.lang.Long.parseLong;
+import static java.time.Instant.ofEpochSecond;
+import static java.time.LocalDateTime.parse;
+import static java.time.OffsetDateTime.ofInstant;
+import static java.time.ZoneOffset.UTC;
+import static java.time.format.DateTimeFormatter.ofPattern;
+import static java.util.stream.Collectors.toCollection;
+
+public class DrutesFetcher implements ConnectorFetcher<VoidSession, DrutesModel> {
+
+    private static class DirInfo {
+        final long unit;
+        final OffsetDateTime created;
+        final Path path;
+
+        static DirInfo parse(Path dirPath) {
+            String dirName = dirPath.getFileName().toString();
+            String[] parts = dirName.split("_");
+            if (parts.length != 2) return  null;
+            long unit = parseLong(parts[0]);
+            long epoch = parseLong(parts[1]);
+            OffsetDateTime created = ofInstant(ofEpochSecond(epoch), UTC);
+            return new DirInfo(unit, created, dirPath);
+        }
+
+        DirInfo(long unit, OffsetDateTime created, Path path) {
+            this.path = path;
+            this.created = created;
+            this.unit = unit;
+        }
+
+        public long getUnit() {
+            return unit;
+        }
+
+        public OffsetDateTime getCreated() {
+            return created;
+        }
+
+        public Path getPath() {
+            return path;
+        }
+    }
+
+    private static class PredictionInfo {
+        final DirInfo dirInfo;
+        final LocalDateTime predictFrom;
+        final List<Path> predictFiles;
+
+        PredictionInfo(DirInfo dirInfo, List<Path> predictFiles, LocalDateTime predictFrom) {
+            this.dirInfo = dirInfo;
+            this.predictFrom = predictFrom;
+            this.predictFiles = predictFiles;
+        }
+    }
+
+    private static final Logger logger = LogManager.getLogger(DrutesFetcher.class);
+
+    private static final String SUCCESS_IMPORT_FILE = "import.success";
+    private static final String SUCCESS_SENSORS_FILE = "sensors.success";
+    private static final String TIMES_PREDICT_FILE = "predict.times";
+    private static final String PREDICT_FILE_EXTENSION = ".predict";
+
+    private final DrutesConfig config;
+
+    DrutesFetcher(DrutesConfig config) {
+        this.config = config;
+    }
+
+    @Override
+    public void init() throws Exception {
+        if (Files.notExists(Paths.get(config.getBaseDir()))) {
+            throw logger.throwing(new IOException(String.format(
+                    "Provided base dir '%s' does not exist.", config.getBaseDir()
+            )));
+        }
+    }
+
+    @Override
+    public DrutesModel fetch(Optional<VoidSession> session) {
+
+        PredictionInfo prInfo;
+        try ( Stream<Path> paths = Files.walk(Paths.get(config.getBaseDir()))) {
+            Optional<DirInfo> observeDir = paths
+                    .filter(Files::isDirectory)
+                    .map(DirInfo::parse)
+                    .filter(Objects::nonNull)
+                    .min(Comparator.comparing(DirInfo::getCreated));
+
+            if (!observeDir.isPresent()) {
+                logger.warn("No predictions to load."); return null;
+            }
+            Path observePath = observeDir.get().getPath();
+
+            if (isSuccessFile(Paths.get(observePath.toString(), SUCCESS_IMPORT_FILE))) {
+                logger.warn("No new predictions to load."); return null;
+            }
+
+            if (!isSuccessFile(Paths.get(observePath.toString(), SUCCESS_SENSORS_FILE))) {
+                logger.warn("Stored predictions were not successfully created."); return null;
+            }
+
+            List<String> timesInfo = getFileContent(Paths.get(observePath.toString(), TIMES_PREDICT_FILE));
+            if (timesInfo.size() < 4) {
+                logger.error("The file '{}' contains wrong content.", TIMES_PREDICT_FILE); return null;
+            }
+
+            try (Stream<Path> predictPaths = Files.walk(observeDir.get().getPath().toAbsolutePath())) {
+                List<Path> predictFiles = predictPaths
+                        .filter(Files::isRegularFile)
+                        .filter(p -> p.getFileName().toString().endsWith(PREDICT_FILE_EXTENSION))
+                        .collect(Collectors.toList());
+
+                LocalDateTime predictFrom = parse(timesInfo.get(3), ofPattern("yyyy-MM-dd HH:mm:ss"));
+                prInfo = new PredictionInfo(observeDir.get(), predictFiles, predictFrom);
+            }
+
+        } catch (IOException e) {
+            logger.catching(e); return null;
+        }
+
+        Map<Long, List<PredictionData>> predictions = new HashMap<>(prInfo.predictFiles.size());
+        try {
+            for (Path predictFilePath : prInfo.predictFiles) {
+                String fileName = predictFilePath.getFileName().toString();
+                long sensorId = parseLong(fileName.substring(0, fileName.lastIndexOf(".")));
+                List<PredictionData> sensorPredictions = predictions
+                        .computeIfAbsent(sensorId, k -> Collections.synchronizedList(new LinkedList<>()));
+                Files.readAllLines(predictFilePath).stream().skip(1)
+                        .map(DrutesFetcher::parseFileLine).filter(Objects::nonNull)
+                        .collect(toCollection(() -> sensorPredictions));
+            }
+            createSuccessFile(Paths.get(prInfo.dirInfo.getPath().toString(), SUCCESS_IMPORT_FILE), true);
+        } catch (IOException e) {
+            logger.catching(e);
+            createSuccessFile(Paths.get(prInfo.dirInfo.getPath().toString(), SUCCESS_IMPORT_FILE), false);
+        }
+
+        Iterator<Map.Entry<Long, List<PredictionData>>> prIter = predictions.entrySet().iterator();
+        List<PredictionData> prList = prIter.hasNext() ? prIter.next().getValue() : Collections.emptyList();
+        long maxTimeShift = prList.isEmpty() ? 0 : prList.get(prList.size()-1).getTimeshift();
+
+        OffsetDateTime from = prInfo.dirInfo.created;
+        DrutesModel model = new DrutesModel(prInfo.dirInfo.getUnit(), prInfo.predictFrom,
+                from.getDayOfWeek().getValue(), predictions, from, from.plusSeconds(maxTimeShift)
+        );
+
+        return model;
+    }
+
+    private static List<String> getFileContent(Path filePath) {
+        if (Files.exists(filePath)) {
+            try {
+                return Files.readAllLines(filePath);
+            } catch (IOException e) {
+                logger.catching(e);
+            }
+        }
+        return Collections.emptyList();
+    }
+
+    private static boolean isSuccessFile(Path successFilePath)  {
+        List<String> lines = getFileContent(successFilePath);
+        return !lines.isEmpty() && parseInt(lines.get(0).trim()) != 0;
+    }
+
+    private static void createSuccessFile(Path filePath, boolean success) {
+        try {
+            String content = success ? "1" : "0";
+            Files.write(filePath, content.getBytes());
+        } catch (IOException e) {
+            logger.catching(e);
+        }
+    }
+
+    private static PredictionData parseFileLine(String line) {
+        String [] cmp = line.trim().split("\\s+");
+        long timeshift;
+        double [] values;
+        if (cmp.length == 2) {
+            timeshift = parseLong(cmp[0]);
+            values = new double[] { parseDouble(cmp[1]) };
+        } else if (cmp.length == 3) {
+            timeshift = parseLong(cmp[0]);
+            values = new double[] { parseDouble(cmp[1]), parseDouble(cmp[2]) };
+        } else {
+            logger.error("The parser does not exist for the data: '{}'.", line);
+            return null;
+        }
+        return new PredictionData(timeshift, values);
+    }
+}

connector-fetch-drutes/src/main/resources/META-INF/services/cz.senslog.connector.fetch.api.ConnectorFetchProvider

@@ -0,0 +1 @@
+cz.senslog.connector.fetch.drutes.ConnectorFetchDrutesProvider

connector-fetch-drutes/src/test/java/cz/senslog/connector/fetch/drutes/DrutesFetcherTest.java

@@ -0,0 +1,84 @@
+package cz.senslog.connector.fetch.drutes;
+
+import cz.senslog.connector.model.config.DefaultConfig;
+import cz.senslog.connector.model.drutes.DrutesModel;
+import cz.senslog.connector.model.drutes.PredictionData;
+import org.junit.jupiter.api.AfterEach;
+import org.junit.jupiter.api.Test;
+
+import java.io.File;
+import java.io.IOException;
+import java.io.UnsupportedEncodingException;
+import java.net.URLDecoder;
+import java.nio.charset.StandardCharsets;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.nio.file.Paths;
+import java.time.Instant;
+import java.time.OffsetDateTime;
+import java.time.ZoneOffset;
+import java.util.List;
+import java.util.Objects;
+import java.util.Optional;
+import java.util.stream.Stream;
+
+import static org.junit.jupiter.api.Assertions.*;
+import static org.mockito.Mockito.mock;
+
+class DrutesFetcherTest {
+
+    private static final String TEST_BASE_DIR = "predictions";
+    private static final String SUCCESS_IMPORT_FILE = "import.success";
+
+
+    private String getAbsoluteTestDir() throws UnsupportedEncodingException {
+        ClassLoader classLoader = getClass().getClassLoader();
+        File file = new File(Objects.requireNonNull(classLoader.getResource(TEST_BASE_DIR)).getFile());
+        return URLDecoder.decode(file.getAbsolutePath(), "UTF-8");
+    }
+
+    @AfterEach
+    void cleanTest() throws Exception {
+        String testBaseDir = getAbsoluteTestDir();
+        Path testPath = Paths.get(testBaseDir);
+        if (Files.exists(testPath)) {
+            try (Stream<Path> paths = Files.walk(testPath)) {
+                paths.filter(Files::isDirectory)
+                        .forEach(p -> {
+                            try {
+                                Files.deleteIfExists(Paths.get(p.toString(), SUCCESS_IMPORT_FILE));
+                            } catch (IOException e) {
+                                e.printStackTrace();
+                            }
+                        });
+            }
+        }
+    }
+
+    @Test // happy scenario
+    void fetch() throws Exception {
+
+        DefaultConfig defaultConfig = new DefaultConfig("", null);
+        defaultConfig.setProperty("baseDir", getAbsoluteTestDir());
+
+        DrutesConfig config = new DrutesConfig(defaultConfig);
+        DrutesFetcher fetcher = new DrutesFetcher(config);
+        fetcher.init();
+
+        DrutesModel model = fetcher.fetch(Optional.empty());
+
+        // folder name: 4151559_20220301
+        assertEquals(4151559L, model.getUnitId());
+        assertEquals(7, model.getDayOffset());
+        OffsetDateTime from = OffsetDateTime.of(1970, 8, 23, 0, 45, 1, 0, ZoneOffset.UTC);
+        assertEquals(from, model.getFrom());
+        assertEquals(from.plusSeconds(604800), model.getTo());
+
+        assertEquals(4, model.getPredictions().size());
+        int predictionCounter = 0;
+        for (List<PredictionData> value : model.getPredictions().values()) {
+            predictionCounter += value.size();
+        }
+        assertEquals(2692, predictionCounter); // 2692 = 4 * 673
+    }
+}

connector-fetch-drutes/src/test/resources/predictions/4151559_20220301/340260001.predict

@@ -0,0 +1,674 @@
+# time [s]     T [dg. C] 
+0 21.6
+900 21.5999999470766
+1800 21.599912067281
+2700 21.5985505602282
+3600 21.5936708729096
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connector-fetch-drutes/src/test/resources/predictions/4151559_20220301/710010001.predict

@@ -0,0 +1,674 @@
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connector-fetch-drutes/src/test/resources/predictions/4151559_20220301/710010002.predict

@@ -0,0 +1,674 @@
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+498600 -128.501869568277 28.6976773280488
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+502200 -128.982108293016 28.6438080864989
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+504900 -129.340657150518 28.6037802617098
+505800 -129.459856627496 28.5905090187809
+506700 -129.578898332517 28.5772732023603
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+517500 -130.996335217164 28.4210311067669
+518400 -131.113799898073 28.4081943848817
+519300 -131.23122920471 28.395378375598
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+522000 -131.583439441245 28.3570394896396
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+523800 -131.818288045641 28.3315592258184
+524700 -131.935747886525 28.3188402053818
+525600 -132.053237814859 28.3061345338352
+526500 -132.170760786992 28.2934418691529
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+528300 -132.405911203048 28.2680948989746
+529200 -132.523538543542 28.2554405629634
+530100 -132.641198981907 28.2427991432112
+531000 -132.75889028318 28.2301708579505
+531900 -132.876609571068 28.2175559928983
+532800 -132.994353453613 28.2049548873749
+533700 -133.112118142313 28.19236792123
+534600 -133.229899552397 28.1797955038801
+535500 -133.347693375169 28.1672380664068
+536400 -133.465495122236 28.1546960567072
+537300 -133.583300148624 28.1421699369265
+538200 -133.701103664198 28.1296601821502
+539100 -133.81890074153 28.1171672794846
+540000 -133.936686325513 28.1046917269588
+540900 -134.054455247188 28.0922340319901
+541800 -134.172202242185 28.0797947093751
+542700 -134.289921972938 28.0673742788978
+543600 -134.407609053301 28.0549732627037
+544500 -134.525258074105 28.0425921825964
+545400 -134.642863628365 28.0302315573903
+546300 -134.760420335149 28.0178919004269
+547200 -134.877922861383 28.0055737173237
+548100 -134.995365945961 27.9932775035026
+549000 -135.112744397379 27.9810037445014
+549900 -135.23005313625 27.9687529116016
+550800 -135.347287187551 27.9565254627282
+551700 -135.464441688396 27.944321841726
+552600 -135.581511846151 27.9321424828067
+553500 -135.698492760418 27.9199878290953
+554400 -135.81537904866 27.9078583714017
+555300 -135.93216437107 27.8957546971333
+556200 -136.048841708623 27.8836774609275
+557100 -136.165401332648 27.8716275940049
+558000 -136.281832828837 27.8596060935922
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+560700 -136.63024526227 27.8237226281566
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+562500 -136.861673366423 27.7999617705318
+563400 -136.977103354871 27.7881325647154
+564300 -137.09233302979 27.7763384901341
+565200 -137.207355644751 27.7645801303261
+566100 -137.322165600271 27.7528579489339
+567000 -137.436758379516 27.7411722970038
+567900 -137.551130459223 27.7295234227517
+568800 -137.665279207292 27.7179114826081
+569700 -137.7792001031 27.7063368240352
+570600 -137.892894626058 27.6947991843351
+571500 -138.006362269037 27.683298503345
+572400 -138.119602918563 27.6718346814042
+573300 -138.23261685118 27.660407579959
+574200 -138.345404599324 27.6490170353335
+575100 -138.457966662389 27.6376628880067
+576000 -138.570302979803 27.6263450356427
+576900 -138.682412271205 27.6150634991074
+577800 -138.794291497087 27.6038184759186
+578700 -138.905935647633 27.5926103603901
+579600 -139.017337906545 27.581439726061
+580500 -139.128490100718 27.5703072796423
+581400 -139.239383293436 27.5592138009439
+582300 -139.350008391605 27.5481600818269
+583200 -139.460356679366 27.5371468729277
+584100 -139.570420234016 27.52617484248
+585000 -139.680192213328 27.5152445482208
+585900 -139.789667023825 27.5043564213188
+586800 -139.898840389711 27.4935107602755
+587700 -140.007709345208 27.4827077324581
+588600 -140.116272172023 27.4719473810523
+589500 -140.224528300665 27.4612296355398
+590400 -140.332478190614 27.4505543241894
+591300 -140.440123202072 27.4399211872899
+592200 -140.547465460031 27.4293298910472
+593100 -140.654507735191 27.418780039725
+594000 -140.761253320543 27.4082711881277
+594900 -140.86770592962 27.3978028518673
+595800 -140.97386964376 27.3873745127495
+596700 -141.079755160154 27.3769850062302
+597600 -141.18536164985 27.366634302113
+598500 -141.290695238093 27.3563216899937
+599400 -141.395763589077 27.3460463122836
+600300 -141.500575750798 27.3358071801455
+601200 -141.605141940543 27.3256031951108
+602100 -141.709473151119 27.3154331880173
+603000 -141.813580682291 27.30529596497
+603900 -141.917475686979 27.2951903515702
+604800 -142.021168788852 27.2851152299254

connector-fetch-drutes/src/test/resources/predictions/4151559_20220301/predict.times

@@ -0,0 +1,4 @@
+# sensor data from:
+2021-10-22 15:00:00+02
+# meteo data from
+2021-11-02 16:00:00

connector-fetch-drutes/src/test/resources/predictions/4151559_20220301/sensors.success

@@ -0,0 +1 @@
+1

connector-model/src/main/java/cz/senslog/connector/model/api/VoidSession.java

@@ -0,0 +1,8 @@
+package cz.senslog.connector.model.api;
+
+public class VoidSession extends ProxySessionModel {
+
+    public VoidSession() {
+        super(false);
+    }
+}

connector-model/src/main/java/cz/senslog/connector/model/azure/SensorData.java

@@ -46,7 +46,7 @@ public class SensorData {
 
     private Float pH;
 
-    private Integer orp;
+    private Integer ORP;
 
     public OffsetDateTime getTime() {
         return time;
@@ -136,12 +136,12 @@ public class SensorData {
         this.pH = pH;
     }
 
-    public Integer getOrp() {
-        return orp;
+    public Integer getORP() {
+        return ORP;
     }
 
-    public void setOrp(Integer orp) {
-        this.orp = orp;
+    public void setORP(Integer ORP) {
+        this.ORP = ORP;
     }
 
     public Map<String, Float> getValues() {
@@ -161,7 +161,7 @@ public class SensorData {
         setValue.accept("rumination", NumberUtils.valueOf(rumination));
         setValue.accept("pedometer", NumberUtils.valueOf(pedometer));
         setValue.accept("pH", pH);
-        setValue.accept("ORP", NumberUtils.valueOf(orp));
+        setValue.accept("ORP", NumberUtils.valueOf(ORP));
 
         return values;
     }

connector-model/src/main/java/cz/senslog/connector/model/converter/DrutesModelSenslogV1ModelConverter.java

@@ -0,0 +1,118 @@
+package cz.senslog.connector.model.converter;
+
+import cz.senslog.connector.model.api.Converter;
+import cz.senslog.connector.model.drutes.DrutesModel;
+import cz.senslog.connector.model.drutes.PredictionData;
+import cz.senslog.connector.model.v1.Observation;
+import cz.senslog.connector.model.v1.Record;
+import cz.senslog.connector.model.v1.SenslogV1Model;
+import org.apache.logging.log4j.LogManager;
+import org.apache.logging.log4j.Logger;
+
+import java.time.OffsetDateTime;
+import java.time.ZoneId;
+import java.util.*;
+
+public class DrutesModelSenslogV1ModelConverter implements Converter<DrutesModel, SenslogV1Model> {
+
+    private static final Logger logger = LogManager.getLogger(DrutesModelSenslogV1ModelConverter.class);
+
+    private interface SensorPredictionConverter {
+
+        SensorPredictionConverter VOID_CONVERTER = (unitId, timestamp, dayOffset, values) -> Collections.emptyList();
+
+        List<Observation> convert(long unitId, OffsetDateTime timestamp, int dayOffset, double [] values);
+    }
+
+    private static final Map<Long, SensorPredictionConverter> SENSOR_TO_CONVERTER;
+
+    static {
+        SENSOR_TO_CONVERTER = new HashMap<>();
+        SENSOR_TO_CONVERTER.put(340260001L, (unitId, timestamp, dayOffset, values) -> {
+            if (values.length != 1) { return Collections.emptyList(); }
+            Observation observation = new Observation();
+            observation.setTime(timestamp);
+            observation.setUnitId(unitId);
+            observation.setValue((float) values[0]);
+            observation.setSensorId((dayOffset * 1000L) + 340590001L);
+            return Collections.singletonList(observation);
+        });
+        SENSOR_TO_CONVERTER.put(340260002L, (unitId, timestamp, dayOffset, values) -> {
+            if (values.length != 1) { return Collections.emptyList(); }
+
+            Observation observation = new Observation();
+            observation.setTime(timestamp);
+            observation.setUnitId(unitId);
+            observation.setValue((float) values[0]);
+            observation.setSensorId((dayOffset * 1000L) + 340590002L);
+
+            return Collections.singletonList(observation);
+        });
+        SENSOR_TO_CONVERTER.put(710010001L, (unitId, timestamp, dayOffset, values) -> {
+            if (values.length != 2) { return Collections.emptyList(); }
+
+            Observation observation1 = new Observation();
+            observation1.setTime(timestamp);
+            observation1.setUnitId(unitId);
+            observation1.setValue((float) values[0]);
+            observation1.setSensorId((dayOffset * 1000L) + 710060001);
+
+            Observation observation2 = new Observation();
+            observation2.setTime(timestamp);
+            observation2.setUnitId(unitId);
+            observation2.setValue((float) values[1]);
+            observation2.setSensorId((dayOffset * 1000L) + 890020001);
+
+            return Arrays.asList(observation1, observation2);
+        });
+        SENSOR_TO_CONVERTER.put(710010002L, (unitId, timestamp, dayOffset, values) -> {
+            if (values.length != 2) { return Collections.emptyList(); }
+
+            Observation observation1 = new Observation();
+            observation1.setTime(timestamp);
+            observation1.setUnitId(unitId);
+            observation1.setValue((float) values[0]);
+            observation1.setSensorId((dayOffset * 1000L) + 710060002);
+
+            Observation observation2 = new Observation();
+            observation2.setTime(timestamp);
+            observation2.setUnitId(unitId);
+            observation2.setValue((float) values[1]);
+            observation2.setSensorId((dayOffset * 1000L) + 890020002);
+
+            return Arrays.asList(observation1, observation2);
+        });
+    }
+
+    @Override
+    public SenslogV1Model convert(DrutesModel model) {
+        if (model == null || model.getPredictions().isEmpty()) {
+            logger.warn("Nothing to convert. Received model is empty.");
+            return null;
+        }
+        logger.info("Received {} sensors to convert.", model.getPredictions().size());
+
+        logger.debug("Creating an empty list of observation.");
+        List<Record> observations = new LinkedList<>();
+
+        long unitId = model.getUnitId();
+        OffsetDateTime timestampBase = model.getStart().atZone(ZoneId.systemDefault()).toOffsetDateTime();
+        for (Map.Entry<Long, List<PredictionData>> predictionEntry : model.getPredictions().entrySet()) {
+            long sensorId = predictionEntry.getKey();
+            logger.info("Converting sensor with ID {}.", sensorId);
+
+            for (PredictionData prediction : predictionEntry.getValue()) {
+                OffsetDateTime timestamp = timestampBase.plusSeconds(prediction.getTimeshift());
+                observations.addAll(SENSOR_TO_CONVERTER
+                        .getOrDefault(sensorId, SensorPredictionConverter.VOID_CONVERTER)
+                        .convert(unitId, timestamp, model.getDayOffset(), prediction.getValues())
+                );
+            }
+        }
+
+        logger.debug("Creating a new SenslogV1 model.");
+        SenslogV1Model senslogV1Model = new SenslogV1Model(observations, model.getFrom(), model.getTo());
+        logger.info("Conversion was completed successfully.");
+        return senslogV1Model;
+    }
+}

connector-model/src/main/java/cz/senslog/connector/model/converter/ModelConverterProvider.java

@@ -24,5 +24,6 @@ public class ModelConverterProvider extends ConverterProvider {
         register(AzureModelSenslogV2ModelConverter.class);
         register(FieldClimateModelSenslogV1ModelConverter.class);
         register(SenslogV1ModelAFarCloudModelConverter.class);
+        register(DrutesModelSenslogV1ModelConverter.class);
     }
 }

connector-model/src/main/java/cz/senslog/connector/model/drutes/DrutesModel.java

@@ -0,0 +1,40 @@
+package cz.senslog.connector.model.drutes;
+
+import cz.senslog.connector.model.api.AbstractModel;
+
+import java.time.LocalDateTime;
+import java.time.OffsetDateTime;
+import java.util.List;
+import java.util.Map;
+
+public class DrutesModel extends AbstractModel {
+
+    private final long unitId;
+    private final LocalDateTime start;
+    private final int dayOffset;
+    private final Map<Long, List<PredictionData>> predictions;
+
+    public DrutesModel(long unitId, LocalDateTime start, int dayOffset, Map<Long, List<PredictionData>> predictions, OffsetDateTime from, OffsetDateTime to) {
+        super(from, to);
+        this.unitId = unitId;
+        this.start = start;
+        this.dayOffset = dayOffset;
+        this.predictions = predictions;
+    }
+
+    public long getUnitId() {
+        return unitId;
+    }
+
+    public LocalDateTime getStart() {
+        return start;
+    }
+
+    public int getDayOffset() {
+        return dayOffset;
+    }
+
+    public Map<Long, List<PredictionData>> getPredictions() {
+        return predictions;
+    }
+}

connector-model/src/main/java/cz/senslog/connector/model/drutes/PredictionData.java

@@ -0,0 +1,20 @@
+package cz.senslog.connector.model.drutes;
+
+public class PredictionData {
+
+    private final long timeshift;
+    private final double [] values;
+
+    public PredictionData(long timestamp, double [] values) {
+        this.timeshift = timestamp;
+        this.values = values;
+    }
+
+    public long getTimeshift() {
+        return timeshift;
+    }
+
+    public double[] getValues() {
+        return values;
+    }
+}

connector-model/src/test/java/cz/senslog/connector/model/converter/DrutesModelSenslogV1ModelConverterTest.java

@@ -0,0 +1,60 @@
+package cz.senslog.connector.model.converter;
+
+import cz.senslog.connector.model.drutes.DrutesModel;
+import cz.senslog.connector.model.drutes.PredictionData;
+import cz.senslog.connector.model.v1.Observation;
+import cz.senslog.connector.model.v1.Record;
+import cz.senslog.connector.model.v1.SenslogV1Model;
+import org.junit.jupiter.api.Test;
+
+import java.time.LocalDateTime;
+import java.time.OffsetDateTime;
+import java.time.ZoneId;
+import java.util.*;
+
+import static java.time.format.DateTimeFormatter.ofPattern;
+import static java.util.Collections.singletonList;
+import static org.junit.jupiter.api.Assertions.*;
+
+class DrutesModelSenslogV1ModelConverterTest {
+
+    @Test // happy scenario
+    void convert() {
+
+        final long timeShift = 604800;
+
+        Map<Long, List<PredictionData>> predictions = new HashMap<>();
+        predictions.put(340260001L, singletonList(new PredictionData(timeShift, new double[]{-1})));
+        predictions.put(340260002L, singletonList(new PredictionData(timeShift, new double[] {-2})));
+        predictions.put(710010001L, singletonList(new PredictionData(timeShift, new double[] {-3, 3})));
+        predictions.put(710010002L, singletonList(new PredictionData(timeShift, new double[] {-4, 4})));
+
+        LocalDateTime predictionFrom = LocalDateTime.parse("2021-11-02 16:00:00", ofPattern("yyyy-MM-dd HH:mm:ss"));
+        OffsetDateTime predictionTo = predictionFrom.atZone(ZoneId.systemDefault()).toOffsetDateTime().plusSeconds(timeShift);
+        DrutesModel drutesModel = new DrutesModel(4151559L, predictionFrom, 5, predictions, null, null);
+
+        SenslogV1Model senslogV1Model = new DrutesModelSenslogV1ModelConverter().convert(drutesModel);
+
+        assertEquals(6, senslogV1Model.getObservations().size());
+        for (Record rec : senslogV1Model.getObservations()) {
+
+            assertEquals(4151559L, rec.getUnitId());
+            assertEquals(predictionTo, rec.getTime());
+            assertEquals(Observation.class, rec.getClass());
+
+            Observation obs = (Observation)rec;
+            int sensorId = obs.getSensorId().intValue();
+            double value = obs.getValue();
+
+            switch (sensorId) {
+                case 340595001 : assertEquals(-1, value); break;
+                case 340595002 : assertEquals(-2, value); break;
+                case 710065001 : assertEquals(-3, value); break;
+                case 890025001 : assertEquals(3, value); break;
+                case 710065002 : assertEquals(-4, value); break;
+                case 890025002 : assertEquals(4, value); break;
+                default: fail(String.format("Sensor ID '%d' is not defined.", sensorId));
+            }
+        }
+    }
+}

pom.xml

@@ -65,6 +65,7 @@
         <module>connector-app</module>
         <module>connector-model</module>
         <module>connector-push-api</module>
+        <module>connector-fetch-drutes</module>
     </modules>
 
     <properties>