co.elastic.clients.elasticsearch.xpack.usage.MachineLearning Maven / Gradle / Ivy
Show all versions of elasticsearch-java Show documentation
/*
* Licensed to Elasticsearch B.V. under one or more contributor
* license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright
* ownership. Elasticsearch B.V. licenses this file to you under
* the Apache License, Version 2.0 (the "License"); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
//----------------------------------------------------
// THIS CODE IS GENERATED. MANUAL EDITS WILL BE LOST.
//----------------------------------------------------
package co.elastic.clients.elasticsearch.xpack.usage;
import co.elastic.clients.json.JsonpDeserializable;
import co.elastic.clients.json.JsonpDeserializer;
import co.elastic.clients.json.JsonpMapper;
import co.elastic.clients.json.ObjectBuilderDeserializer;
import co.elastic.clients.json.ObjectDeserializer;
import co.elastic.clients.util.ApiTypeHelper;
import co.elastic.clients.util.ObjectBuilder;
import jakarta.json.stream.JsonGenerator;
import java.lang.Integer;
import java.lang.String;
import java.util.Map;
import java.util.Objects;
import java.util.function.Function;
import javax.annotation.Nullable;
// typedef: xpack.usage.MachineLearning
/**
*
* @see API
* specification
*/
@JsonpDeserializable
public class MachineLearning extends Base {
private final Map datafeeds;
private final Jobs jobs;
private final int nodeCount;
private final MlDataFrameAnalyticsJobs dataFrameAnalyticsJobs;
private final MlInference inference;
// ---------------------------------------------------------------------------------------------
private MachineLearning(Builder builder) {
super(builder);
this.datafeeds = ApiTypeHelper.unmodifiableRequired(builder.datafeeds, this, "datafeeds");
this.jobs = ApiTypeHelper.requireNonNull(builder.jobs, this, "jobs");
this.nodeCount = ApiTypeHelper.requireNonNull(builder.nodeCount, this, "nodeCount");
this.dataFrameAnalyticsJobs = ApiTypeHelper.requireNonNull(builder.dataFrameAnalyticsJobs, this,
"dataFrameAnalyticsJobs");
this.inference = ApiTypeHelper.requireNonNull(builder.inference, this, "inference");
}
public static MachineLearning of(Function> fn) {
return fn.apply(new Builder()).build();
}
/**
* Required - API name: {@code datafeeds}
*/
public final Map datafeeds() {
return this.datafeeds;
}
/**
* Required - API name: {@code jobs}
*/
public final Jobs jobs() {
return this.jobs;
}
/**
* Required - API name: {@code node_count}
*/
public final int nodeCount() {
return this.nodeCount;
}
/**
* Required - API name: {@code data_frame_analytics_jobs}
*/
public final MlDataFrameAnalyticsJobs dataFrameAnalyticsJobs() {
return this.dataFrameAnalyticsJobs;
}
/**
* Required - API name: {@code inference}
*/
public final MlInference inference() {
return this.inference;
}
protected void serializeInternal(JsonGenerator generator, JsonpMapper mapper) {
super.serializeInternal(generator, mapper);
if (ApiTypeHelper.isDefined(this.datafeeds)) {
generator.writeKey("datafeeds");
generator.writeStartObject();
for (Map.Entry item0 : this.datafeeds.entrySet()) {
generator.writeKey(item0.getKey());
item0.getValue().serialize(generator, mapper);
}
generator.writeEnd();
}
generator.writeKey("jobs");
this.jobs.serialize(generator, mapper);
generator.writeKey("node_count");
generator.write(this.nodeCount);
generator.writeKey("data_frame_analytics_jobs");
this.dataFrameAnalyticsJobs.serialize(generator, mapper);
generator.writeKey("inference");
this.inference.serialize(generator, mapper);
}
// ---------------------------------------------------------------------------------------------
/**
* Builder for {@link MachineLearning}.
*/
public static class Builder extends Base.AbstractBuilder implements ObjectBuilder {
private Map datafeeds;
private Jobs jobs;
private Integer nodeCount;
private MlDataFrameAnalyticsJobs dataFrameAnalyticsJobs;
private MlInference inference;
/**
* Required - API name: {@code datafeeds}
*
* Adds all entries of map to datafeeds.
*/
public final Builder datafeeds(Map map) {
this.datafeeds = _mapPutAll(this.datafeeds, map);
return this;
}
/**
* Required - API name: {@code datafeeds}
*
* Adds an entry to datafeeds.
*/
public final Builder datafeeds(String key, Datafeed value) {
this.datafeeds = _mapPut(this.datafeeds, key, value);
return this;
}
/**
* Required - API name: {@code datafeeds}
*
* Adds an entry to datafeeds using a builder lambda.
*/
public final Builder datafeeds(String key, Function> fn) {
return datafeeds(key, fn.apply(new Datafeed.Builder()).build());
}
/**
* Required - API name: {@code jobs}
*/
public final Builder jobs(Jobs value) {
this.jobs = value;
return this;
}
/**
* Required - API name: {@code jobs}
*/
public final Builder jobs(Function> fn) {
return this.jobs(fn.apply(new Jobs.Builder()).build());
}
/**
* Required - API name: {@code node_count}
*/
public final Builder nodeCount(int value) {
this.nodeCount = value;
return this;
}
/**
* Required - API name: {@code data_frame_analytics_jobs}
*/
public final Builder dataFrameAnalyticsJobs(MlDataFrameAnalyticsJobs value) {
this.dataFrameAnalyticsJobs = value;
return this;
}
/**
* Required - API name: {@code data_frame_analytics_jobs}
*/
public final Builder dataFrameAnalyticsJobs(
Function> fn) {
return this.dataFrameAnalyticsJobs(fn.apply(new MlDataFrameAnalyticsJobs.Builder()).build());
}
/**
* Required - API name: {@code inference}
*/
public final Builder inference(MlInference value) {
this.inference = value;
return this;
}
/**
* Required - API name: {@code inference}
*/
public final Builder inference(Function> fn) {
return this.inference(fn.apply(new MlInference.Builder()).build());
}
@Override
protected Builder self() {
return this;
}
/**
* Builds a {@link MachineLearning}.
*
* @throws NullPointerException
* if some of the required fields are null.
*/
public MachineLearning build() {
_checkSingleUse();
return new MachineLearning(this);
}
}
// ---------------------------------------------------------------------------------------------
/**
* Json deserializer for {@link MachineLearning}
*/
public static final JsonpDeserializer _DESERIALIZER = ObjectBuilderDeserializer.lazy(Builder::new,
MachineLearning::setupMachineLearningDeserializer);
protected static void setupMachineLearningDeserializer(ObjectDeserializer op) {
Base.setupBaseDeserializer(op);
op.add(Builder::datafeeds, JsonpDeserializer.stringMapDeserializer(Datafeed._DESERIALIZER), "datafeeds");
op.add(Builder::jobs, Jobs._DESERIALIZER, "jobs");
op.add(Builder::nodeCount, JsonpDeserializer.integerDeserializer(), "node_count");
op.add(Builder::dataFrameAnalyticsJobs, MlDataFrameAnalyticsJobs._DESERIALIZER, "data_frame_analytics_jobs");
op.add(Builder::inference, MlInference._DESERIALIZER, "inference");
}
}