[BAEL-3600] setup initial mantis job
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parent
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<?xml version="1.0" encoding="UTF-8"?>
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<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
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<modelVersion>4.0.0</modelVersion>
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<artifactId>mantis</artifactId>
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<name>Mantis</name>
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<packaging>jar</packaging>
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<description>Sample project for Netflix Mantis</description>
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<parent>
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<groupId>com.baeldung</groupId>
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<artifactId>parent-boot-2</artifactId>
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<version>0.0.1-SNAPSHOT</version>
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<relativePath>../../parent-boot-2</relativePath>
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</parent>
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<dependencies>
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<dependency>
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<groupId>org.springframework.boot</groupId>
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<artifactId>spring-boot-starter</artifactId>
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<version>2.1.3.RELEASE</version>
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</dependency>
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<dependency>
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<groupId>io.mantisrx</groupId>
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<artifactId>mantis-runtime</artifactId>
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<version>1.2.63</version>
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<exclusions>
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<exclusion>
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<groupId>org.slf4j</groupId>
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<artifactId>slf4j-log4j12</artifactId>
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</exclusion>
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</exclusions>
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</dependency>
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<dependency>
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<groupId>com.fasterxml.jackson.core</groupId>
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<artifactId>jackson-databind</artifactId>
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<version>2.10.2</version>
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</dependency>
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<dependency>
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<groupId>net.andreinc.mockneat</groupId>
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<artifactId>mockneat</artifactId>
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<version>0.3.8</version>
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</dependency>
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<dependency>
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<groupId>org.projectlombok</groupId>
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<artifactId>lombok</artifactId>
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<version>1.18.12</version>
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</dependency>
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</dependencies>
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<repositories>
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<repository>
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<id>SpringLibReleaseRepo</id>
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<url>https://repo.spring.io/libs-release/</url>
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</repository>
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</repositories>
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</project>
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package com.baeldung.netflix.mantis;
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import com.baeldung.netflix.mantis.job.LogAggregationJob;
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import com.baeldung.netflix.mantis.job.LogCollectingJob;
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import io.mantisrx.runtime.executor.LocalJobExecutorNetworked;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.boot.CommandLineRunner;
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import org.springframework.boot.SpringApplication;
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import org.springframework.boot.autoconfigure.SpringBootApplication;
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@Slf4j
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@SpringBootApplication
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public class MantisApplication implements CommandLineRunner {
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public static void main(String[] args) {
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SpringApplication.run(MantisApplication.class, args);
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}
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@Override
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public void run(String... args) {
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LocalJobExecutorNetworked.execute(new LogAggregationJob().getJobInstance());
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}
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}
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package com.baeldung.netflix.mantis.job;
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import com.baeldung.netflix.mantis.model.LogAggregate;
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import com.baeldung.netflix.mantis.source.RandomLogSource;
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import com.baeldung.netflix.mantis.stage.CountLogStage;
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import com.baeldung.netflix.mantis.stage.GroupLogStage;
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import com.baeldung.netflix.mantis.stage.TransformLogStage;
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import io.mantisrx.runtime.Job;
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import io.mantisrx.runtime.MantisJob;
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import io.mantisrx.runtime.MantisJobProvider;
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import io.mantisrx.runtime.Metadata;
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import io.mantisrx.runtime.sink.Sinks;
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public class LogAggregationJob extends MantisJobProvider<LogAggregate> {
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@Override
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public Job<LogAggregate> getJobInstance() {
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return MantisJob
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.source(new RandomLogSource())
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.stage(new TransformLogStage(), TransformLogStage.stageConfig())
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.stage(new GroupLogStage(), GroupLogStage.config())
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.stage(new CountLogStage(), CountLogStage.config())
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.sink(Sinks.eagerSubscribe(Sinks.sse(LogAggregate::toJsonString)))
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.metadata(new Metadata.Builder().build())
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.create();
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}
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}
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package com.baeldung.netflix.mantis.job;
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import com.baeldung.netflix.mantis.model.LogEvent;
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import com.baeldung.netflix.mantis.sink.LogSink;
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import com.baeldung.netflix.mantis.source.RandomLogSource;
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import com.baeldung.netflix.mantis.stage.TransformLogStage;
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import io.mantisrx.runtime.Job;
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import io.mantisrx.runtime.MantisJob;
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import io.mantisrx.runtime.MantisJobProvider;
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import io.mantisrx.runtime.Metadata;
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import io.mantisrx.runtime.ScalarToScalar;
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import io.mantisrx.runtime.sink.Sinks;
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import lombok.extern.slf4j.Slf4j;
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@Slf4j
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public class LogCollectingJob extends MantisJobProvider<LogEvent> {
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@Override
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public Job<LogEvent> getJobInstance() {
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return MantisJob
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.source(new RandomLogSource())
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.stage(new TransformLogStage(), new ScalarToScalar.Config<>())
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// .sink(Sinks.eagerSubscribe(Sinks.sse(LogEvent::toJsonString)))
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.sink(new LogSink())
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.metadata(new Metadata.Builder().build())
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.create();
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}
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}
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package com.baeldung.netflix.mantis.model;
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import com.fasterxml.jackson.core.JsonProcessingException;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import io.mantisrx.runtime.codec.JsonType;
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import lombok.AllArgsConstructor;
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import lombok.Getter;
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@Getter
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@AllArgsConstructor
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public class LogAggregate implements JsonType {
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private static final ObjectMapper mapper = new ObjectMapper();
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private final Integer count;
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private final String level;
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public String toJsonString() {
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try {
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return mapper.writeValueAsString(this);
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} catch (JsonProcessingException e) {
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e.printStackTrace();
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return null;
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}
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}
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}
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package com.baeldung.netflix.mantis.model;
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import com.fasterxml.jackson.core.JsonProcessingException;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import io.mantisrx.runtime.codec.JsonType;
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import lombok.Getter;
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import lombok.NoArgsConstructor;
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import lombok.Setter;
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@Getter
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@Setter
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@NoArgsConstructor
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public class LogEvent implements JsonType {
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private static final ObjectMapper mapper = new ObjectMapper();
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private Long index;
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private String level;
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private String message;
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public LogEvent(String[] parts) {
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this.index = Long.valueOf(parts[0]);
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this.level = parts[1];
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this.message = parts[2];
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}
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public String toJsonString() {
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try {
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return mapper.writeValueAsString(this);
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} catch (JsonProcessingException e) {
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e.printStackTrace();
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return null;
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}
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}
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}
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package com.baeldung.netflix.mantis.sink;
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import com.baeldung.netflix.mantis.model.LogEvent;
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import io.mantisrx.runtime.Context;
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import io.mantisrx.runtime.PortRequest;
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import io.mantisrx.runtime.sink.SelfDocumentingSink;
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import io.mantisrx.runtime.sink.ServerSentEventsSink;
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import io.mantisrx.runtime.sink.Sink;
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import io.mantisrx.runtime.sink.predicate.Predicate;
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import rx.Observable;
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public class LogSink implements Sink<LogEvent> {
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@Override
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public void call(Context context, PortRequest portRequest, Observable<LogEvent> logEventObservable) {
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SelfDocumentingSink<LogEvent> sink = new ServerSentEventsSink.Builder<LogEvent>()
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.withEncoder(LogEvent::toJsonString)
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.withPredicate(filterByLogMessage())
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.build();
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logEventObservable.subscribe();
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sink.call(context, portRequest, logEventObservable);
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}
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private Predicate<LogEvent> filterByLogMessage() {
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return new Predicate<>("filter by message",
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parameters -> {
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if (parameters != null && parameters.containsKey("filter")) {
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return logEvent -> logEvent.getMessage().contains(parameters.get("filter").get(0));
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}
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return logEvent -> true;
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});
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}
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}
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package com.baeldung.netflix.mantis.source;
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import io.mantisrx.runtime.Context;
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import io.mantisrx.runtime.source.Index;
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import io.mantisrx.runtime.source.Source;
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import lombok.extern.slf4j.Slf4j;
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import net.andreinc.mockneat.MockNeat;
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import rx.Observable;
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import java.util.Date;
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import java.util.concurrent.TimeUnit;
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@Slf4j
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public class RandomLogSource implements Source<String> {
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private MockNeat mockDataGenerator;
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@Override
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public void init(Context context, Index index) {
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mockDataGenerator = MockNeat.threadLocal();
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}
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@Override
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public Observable<Observable<String>> call(Context context, Index index) {
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return Observable.just(
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Observable
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.interval(250, TimeUnit.MILLISECONDS)
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.map(this::createRandomLogEvent));
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}
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private String createRandomLogEvent(Long tick) {
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String level = mockDataGenerator.probabilites(String.class)
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.add(0.5, "INFO")
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.add(0.3, "WARN")
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.add(0.2, "ERROR")
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.get();
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String message = mockDataGenerator.probabilites(String.class)
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.add(0.5, "login attempt")
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.add(0.5, "user created")
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.get();
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return tick + "#" + level + "#" + message;
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}
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}
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package com.baeldung.netflix.mantis.stage;
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import com.baeldung.netflix.mantis.model.LogAggregate;
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import com.baeldung.netflix.mantis.model.LogEvent;
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import io.mantisrx.common.MantisGroup;
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import io.mantisrx.runtime.Context;
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import io.mantisrx.runtime.GroupToScalar;
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import io.mantisrx.runtime.codec.JacksonCodecs;
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import io.mantisrx.runtime.computation.GroupToScalarComputation;
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import io.mantisrx.runtime.parameter.ParameterDefinition;
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import io.mantisrx.runtime.parameter.type.IntParameter;
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import io.mantisrx.runtime.parameter.validator.Validators;
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import rx.Observable;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.concurrent.TimeUnit;
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public class CountLogStage implements GroupToScalarComputation<String, LogEvent, LogAggregate> {
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private int duration;
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@Override
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public void init(Context context) {
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duration = (int)context.getParameters().get("LogAggregationDuration", 1000);
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}
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@Override
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public Observable<LogAggregate> call(Context context, Observable<MantisGroup<String, LogEvent>> mantisGroup) {
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return mantisGroup
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.window(duration, TimeUnit.MILLISECONDS)
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.flatMap(o -> o.groupBy(MantisGroup::getKeyValue)
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.flatMap(group -> group.reduce(0, (count, value) -> count = count + 1)
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.map((count) -> new LogAggregate(count, group.getKey()))
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));
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}
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public static GroupToScalar.Config<String, LogEvent, LogAggregate> config(){
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return new GroupToScalar.Config<String, LogEvent, LogAggregate>()
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.description("sum events for a log level")
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.codec(JacksonCodecs.pojo(LogAggregate.class))
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.withParameters(getParameters());
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}
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public static List<ParameterDefinition<?>> getParameters() {
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List<ParameterDefinition<?>> params = new ArrayList<>();
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params.add(new IntParameter()
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.name("LogAggregationDuration")
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.description("window size for aggregation in milliseconds")
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.validator(Validators.range(100, 10000))
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.defaultValue(5000)
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.build()) ;
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return params;
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}
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}
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package com.baeldung.netflix.mantis.stage;
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import com.baeldung.netflix.mantis.model.LogEvent;
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import io.mantisrx.common.MantisGroup;
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import io.mantisrx.runtime.Context;
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import io.mantisrx.runtime.ScalarToGroup;
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import io.mantisrx.runtime.codec.JacksonCodecs;
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import io.mantisrx.runtime.computation.ToGroupComputation;
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import rx.Observable;
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public class GroupLogStage implements ToGroupComputation<LogEvent, String, LogEvent> {
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@Override
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public Observable<MantisGroup<String, LogEvent>> call(Context context, Observable<LogEvent> logEvent) {
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return logEvent.map(log -> new MantisGroup<>(log.getLevel(), log));
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}
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public static ScalarToGroup.Config<LogEvent, String, LogEvent> config(){
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return new ScalarToGroup.Config<LogEvent, String, LogEvent>()
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.description("Group event data by level")
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.codec(JacksonCodecs.pojo(LogEvent.class))
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.concurrentInput();
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}
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}
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package com.baeldung.netflix.mantis.stage;
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import com.baeldung.netflix.mantis.model.LogEvent;
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import io.mantisrx.runtime.Context;
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import io.mantisrx.runtime.ScalarToScalar;
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import io.mantisrx.runtime.codec.JacksonCodecs;
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import io.mantisrx.runtime.computation.ScalarComputation;
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import rx.Observable;
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public class TransformLogStage implements ScalarComputation<String, LogEvent> {
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@Override
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public Observable<LogEvent> call(Context context, Observable<String> logEntry) {
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return logEntry
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.map(log -> log.split("#"))
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.filter(parts -> parts.length == 3)
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.map(LogEvent::new);
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}
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public static ScalarToScalar.Config<String, LogEvent> stageConfig() {
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return new ScalarToScalar.Config<String, LogEvent>()
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.codec(JacksonCodecs.pojo(LogEvent.class));
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}
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}
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<modules>
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<module>genie</module>
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<module>mantis</module>
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</modules>
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</project>
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