co.elastic.clients.elasticsearch.ml.PutJobRequest Maven / Gradle / Ivy
/*
* 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.
*/
package co.elastic.clients.elasticsearch.ml;
import co.elastic.clients.elasticsearch._types.ErrorResponse;
import co.elastic.clients.elasticsearch._types.RequestBase;
import co.elastic.clients.elasticsearch._types.Time;
import co.elastic.clients.json.JsonData;
import co.elastic.clients.json.JsonpDeserializable;
import co.elastic.clients.json.JsonpDeserializer;
import co.elastic.clients.json.JsonpMapper;
import co.elastic.clients.json.JsonpSerializable;
import co.elastic.clients.json.ObjectBuilderDeserializer;
import co.elastic.clients.json.ObjectDeserializer;
import co.elastic.clients.transport.Endpoint;
import co.elastic.clients.transport.endpoints.SimpleEndpoint;
import co.elastic.clients.util.ApiTypeHelper;
import co.elastic.clients.util.ObjectBuilder;
import jakarta.json.stream.JsonGenerator;
import java.lang.Boolean;
import java.lang.Long;
import java.lang.String;
import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Objects;
import java.util.function.Function;
import javax.annotation.Nullable;
//----------------------------------------------------------------
// THIS CODE IS GENERATED. MANUAL EDITS WILL BE LOST.
//----------------------------------------------------------------
//
// This code is generated from the Elasticsearch API specification
// at https://github.com/elastic/elasticsearch-specification
//
// Manual updates to this file will be lost when the code is
// re-generated.
//
// If you find a property that is missing or wrongly typed, please
// open an issue or a PR on the API specification repository.
//
//----------------------------------------------------------------
// typedef: ml.put_job.Request
/**
* Create an anomaly detection job. If you include a
* datafeed_config, you must have read index privileges on the
* source index.
*
* @see API
* specification
*/
@JsonpDeserializable
public class PutJobRequest extends RequestBase implements JsonpSerializable {
@Nullable
private final Boolean allowLazyOpen;
private final AnalysisConfig analysisConfig;
@Nullable
private final AnalysisLimits analysisLimits;
@Nullable
private final Time backgroundPersistInterval;
@Nullable
private final JsonData customSettings;
@Nullable
private final Long dailyModelSnapshotRetentionAfterDays;
private final DataDescription dataDescription;
@Nullable
private final DatafeedConfig datafeedConfig;
@Nullable
private final String description;
private final List groups;
private final String jobId;
@Nullable
private final ModelPlotConfig modelPlotConfig;
@Nullable
private final Long modelSnapshotRetentionDays;
@Nullable
private final Long renormalizationWindowDays;
@Nullable
private final String resultsIndexName;
@Nullable
private final Long resultsRetentionDays;
// ---------------------------------------------------------------------------------------------
private PutJobRequest(Builder builder) {
this.allowLazyOpen = builder.allowLazyOpen;
this.analysisConfig = ApiTypeHelper.requireNonNull(builder.analysisConfig, this, "analysisConfig");
this.analysisLimits = builder.analysisLimits;
this.backgroundPersistInterval = builder.backgroundPersistInterval;
this.customSettings = builder.customSettings;
this.dailyModelSnapshotRetentionAfterDays = builder.dailyModelSnapshotRetentionAfterDays;
this.dataDescription = ApiTypeHelper.requireNonNull(builder.dataDescription, this, "dataDescription");
this.datafeedConfig = builder.datafeedConfig;
this.description = builder.description;
this.groups = ApiTypeHelper.unmodifiable(builder.groups);
this.jobId = ApiTypeHelper.requireNonNull(builder.jobId, this, "jobId");
this.modelPlotConfig = builder.modelPlotConfig;
this.modelSnapshotRetentionDays = builder.modelSnapshotRetentionDays;
this.renormalizationWindowDays = builder.renormalizationWindowDays;
this.resultsIndexName = builder.resultsIndexName;
this.resultsRetentionDays = builder.resultsRetentionDays;
}
public static PutJobRequest of(Function> fn) {
return fn.apply(new Builder()).build();
}
/**
* Advanced configuration option. Specifies whether this job can open when there
* is insufficient machine learning node capacity for it to be immediately
* assigned to a node. By default, if a machine learning node with capacity to
* run the job cannot immediately be found, the open anomaly detection jobs API
* returns an error. However, this is also subject to the cluster-wide
* xpack.ml.max_lazy_ml_nodes setting. If this option is set to
* true, the open anomaly detection jobs API does not return an error and the
* job waits in the opening state until sufficient machine learning node
* capacity is available.
*
* API name: {@code allow_lazy_open}
*/
@Nullable
public final Boolean allowLazyOpen() {
return this.allowLazyOpen;
}
/**
* Required - Specifies how to analyze the data. After you create a job, you
* cannot change the analysis configuration; all the properties are
* informational.
*
* API name: {@code analysis_config}
*/
public final AnalysisConfig analysisConfig() {
return this.analysisConfig;
}
/**
* Limits can be applied for the resources required to hold the mathematical
* models in memory. These limits are approximate and can be set per job. They
* do not control the memory used by other processes, for example the
* Elasticsearch Java processes.
*
* API name: {@code analysis_limits}
*/
@Nullable
public final AnalysisLimits analysisLimits() {
return this.analysisLimits;
}
/**
* Advanced configuration option. The time between each periodic persistence of
* the model. The default value is a randomized value between 3 to 4 hours,
* which avoids all jobs persisting at exactly the same time. The smallest
* allowed value is 1 hour. For very large models (several GB), persistence
* could take 10-20 minutes, so do not set the
* background_persist_interval value too low.
*
* API name: {@code background_persist_interval}
*/
@Nullable
public final Time backgroundPersistInterval() {
return this.backgroundPersistInterval;
}
/**
* Advanced configuration option. Contains custom meta data about the job.
*
* API name: {@code custom_settings}
*/
@Nullable
public final JsonData customSettings() {
return this.customSettings;
}
/**
* Advanced configuration option, which affects the automatic removal of old
* model snapshots for this job. It specifies a period of time (in days) after
* which only the first snapshot per day is retained. This period is relative to
* the timestamp of the most recent snapshot for this job. Valid values range
* from 0 to model_snapshot_retention_days.
*
* API name: {@code daily_model_snapshot_retention_after_days}
*/
@Nullable
public final Long dailyModelSnapshotRetentionAfterDays() {
return this.dailyModelSnapshotRetentionAfterDays;
}
/**
* Required - Defines the format of the input data when you send data to the job
* by using the post data API. Note that when configure a datafeed, these
* properties are automatically set. When data is received via the post data
* API, it is not stored in Elasticsearch. Only the results for anomaly
* detection are retained.
*
* API name: {@code data_description}
*/
public final DataDescription dataDescription() {
return this.dataDescription;
}
/**
* Defines a datafeed for the anomaly detection job. If Elasticsearch security
* features are enabled, your datafeed remembers which roles the user who
* created it had at the time of creation and runs the query using those same
* roles. If you provide secondary authorization headers, those credentials are
* used instead.
*
* API name: {@code datafeed_config}
*/
@Nullable
public final DatafeedConfig datafeedConfig() {
return this.datafeedConfig;
}
/**
* A description of the job.
*
* API name: {@code description}
*/
@Nullable
public final String description() {
return this.description;
}
/**
* A list of job groups. A job can belong to no groups or many.
*
* API name: {@code groups}
*/
public final List groups() {
return this.groups;
}
/**
* Required - The identifier for the anomaly detection job. This identifier can
* contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and
* underscores. It must start and end with alphanumeric characters.
*
* API name: {@code job_id}
*/
public final String jobId() {
return this.jobId;
}
/**
* This advanced configuration option stores model information along with the
* results. It provides a more detailed view into anomaly detection. If you
* enable model plot it can add considerable overhead to the performance of the
* system; it is not feasible for jobs with many entities. Model plot provides a
* simplified and indicative view of the model and its bounds. It does not
* display complex features such as multivariate correlations or multimodal
* data. As such, anomalies may occasionally be reported which cannot be seen in
* the model plot. Model plot config can be configured when the job is created
* or updated later. It must be disabled if performance issues are experienced.
*
* API name: {@code model_plot_config}
*/
@Nullable
public final ModelPlotConfig modelPlotConfig() {
return this.modelPlotConfig;
}
/**
* Advanced configuration option, which affects the automatic removal of old
* model snapshots for this job. It specifies the maximum period of time (in
* days) that snapshots are retained. This period is relative to the timestamp
* of the most recent snapshot for this job. By default, snapshots ten days
* older than the newest snapshot are deleted.
*
* API name: {@code model_snapshot_retention_days}
*/
@Nullable
public final Long modelSnapshotRetentionDays() {
return this.modelSnapshotRetentionDays;
}
/**
* Advanced configuration option. The period over which adjustments to the score
* are applied, as new data is seen. The default value is the longer of 30 days
* or 100 bucket spans.
*
* API name: {@code renormalization_window_days}
*/
@Nullable
public final Long renormalizationWindowDays() {
return this.renormalizationWindowDays;
}
/**
* A text string that affects the name of the machine learning results index. By
* default, the job generates an index named .ml-anomalies-shared.
*
* API name: {@code results_index_name}
*/
@Nullable
public final String resultsIndexName() {
return this.resultsIndexName;
}
/**
* Advanced configuration option. The period of time (in days) that results are
* retained. Age is calculated relative to the timestamp of the latest bucket
* result. If this property has a non-null value, once per day at 00:30 (server
* time), results that are the specified number of days older than the latest
* bucket result are deleted from Elasticsearch. The default value is null,
* which means all results are retained. Annotations generated by the system
* also count as results for retention purposes; they are deleted after the same
* number of days as results. Annotations added by users are retained forever.
*
* API name: {@code results_retention_days}
*/
@Nullable
public final Long resultsRetentionDays() {
return this.resultsRetentionDays;
}
/**
* Serialize this object to JSON.
*/
public void serialize(JsonGenerator generator, JsonpMapper mapper) {
generator.writeStartObject();
serializeInternal(generator, mapper);
generator.writeEnd();
}
protected void serializeInternal(JsonGenerator generator, JsonpMapper mapper) {
if (this.allowLazyOpen != null) {
generator.writeKey("allow_lazy_open");
generator.write(this.allowLazyOpen);
}
generator.writeKey("analysis_config");
this.analysisConfig.serialize(generator, mapper);
if (this.analysisLimits != null) {
generator.writeKey("analysis_limits");
this.analysisLimits.serialize(generator, mapper);
}
if (this.backgroundPersistInterval != null) {
generator.writeKey("background_persist_interval");
this.backgroundPersistInterval.serialize(generator, mapper);
}
if (this.customSettings != null) {
generator.writeKey("custom_settings");
this.customSettings.serialize(generator, mapper);
}
if (this.dailyModelSnapshotRetentionAfterDays != null) {
generator.writeKey("daily_model_snapshot_retention_after_days");
generator.write(this.dailyModelSnapshotRetentionAfterDays);
}
generator.writeKey("data_description");
this.dataDescription.serialize(generator, mapper);
if (this.datafeedConfig != null) {
generator.writeKey("datafeed_config");
this.datafeedConfig.serialize(generator, mapper);
}
if (this.description != null) {
generator.writeKey("description");
generator.write(this.description);
}
if (ApiTypeHelper.isDefined(this.groups)) {
generator.writeKey("groups");
generator.writeStartArray();
for (String item0 : this.groups) {
generator.write(item0);
}
generator.writeEnd();
}
if (this.modelPlotConfig != null) {
generator.writeKey("model_plot_config");
this.modelPlotConfig.serialize(generator, mapper);
}
if (this.modelSnapshotRetentionDays != null) {
generator.writeKey("model_snapshot_retention_days");
generator.write(this.modelSnapshotRetentionDays);
}
if (this.renormalizationWindowDays != null) {
generator.writeKey("renormalization_window_days");
generator.write(this.renormalizationWindowDays);
}
if (this.resultsIndexName != null) {
generator.writeKey("results_index_name");
generator.write(this.resultsIndexName);
}
if (this.resultsRetentionDays != null) {
generator.writeKey("results_retention_days");
generator.write(this.resultsRetentionDays);
}
}
// ---------------------------------------------------------------------------------------------
/**
* Builder for {@link PutJobRequest}.
*/
public static class Builder extends RequestBase.AbstractBuilder implements ObjectBuilder {
@Nullable
private Boolean allowLazyOpen;
private AnalysisConfig analysisConfig;
@Nullable
private AnalysisLimits analysisLimits;
@Nullable
private Time backgroundPersistInterval;
@Nullable
private JsonData customSettings;
@Nullable
private Long dailyModelSnapshotRetentionAfterDays;
private DataDescription dataDescription;
@Nullable
private DatafeedConfig datafeedConfig;
@Nullable
private String description;
@Nullable
private List groups;
private String jobId;
@Nullable
private ModelPlotConfig modelPlotConfig;
@Nullable
private Long modelSnapshotRetentionDays;
@Nullable
private Long renormalizationWindowDays;
@Nullable
private String resultsIndexName;
@Nullable
private Long resultsRetentionDays;
/**
* Advanced configuration option. Specifies whether this job can open when there
* is insufficient machine learning node capacity for it to be immediately
* assigned to a node. By default, if a machine learning node with capacity to
* run the job cannot immediately be found, the open anomaly detection jobs API
* returns an error. However, this is also subject to the cluster-wide
* xpack.ml.max_lazy_ml_nodes setting. If this option is set to
* true, the open anomaly detection jobs API does not return an error and the
* job waits in the opening state until sufficient machine learning node
* capacity is available.
*
* API name: {@code allow_lazy_open}
*/
public final Builder allowLazyOpen(@Nullable Boolean value) {
this.allowLazyOpen = value;
return this;
}
/**
* Required - Specifies how to analyze the data. After you create a job, you
* cannot change the analysis configuration; all the properties are
* informational.
*
* API name: {@code analysis_config}
*/
public final Builder analysisConfig(AnalysisConfig value) {
this.analysisConfig = value;
return this;
}
/**
* Required - Specifies how to analyze the data. After you create a job, you
* cannot change the analysis configuration; all the properties are
* informational.
*
* API name: {@code analysis_config}
*/
public final Builder analysisConfig(Function> fn) {
return this.analysisConfig(fn.apply(new AnalysisConfig.Builder()).build());
}
/**
* Limits can be applied for the resources required to hold the mathematical
* models in memory. These limits are approximate and can be set per job. They
* do not control the memory used by other processes, for example the
* Elasticsearch Java processes.
*
* API name: {@code analysis_limits}
*/
public final Builder analysisLimits(@Nullable AnalysisLimits value) {
this.analysisLimits = value;
return this;
}
/**
* Limits can be applied for the resources required to hold the mathematical
* models in memory. These limits are approximate and can be set per job. They
* do not control the memory used by other processes, for example the
* Elasticsearch Java processes.
*
* API name: {@code analysis_limits}
*/
public final Builder analysisLimits(Function> fn) {
return this.analysisLimits(fn.apply(new AnalysisLimits.Builder()).build());
}
/**
* Advanced configuration option. The time between each periodic persistence of
* the model. The default value is a randomized value between 3 to 4 hours,
* which avoids all jobs persisting at exactly the same time. The smallest
* allowed value is 1 hour. For very large models (several GB), persistence
* could take 10-20 minutes, so do not set the
* background_persist_interval value too low.
*
* API name: {@code background_persist_interval}
*/
public final Builder backgroundPersistInterval(@Nullable Time value) {
this.backgroundPersistInterval = value;
return this;
}
/**
* Advanced configuration option. The time between each periodic persistence of
* the model. The default value is a randomized value between 3 to 4 hours,
* which avoids all jobs persisting at exactly the same time. The smallest
* allowed value is 1 hour. For very large models (several GB), persistence
* could take 10-20 minutes, so do not set the
* background_persist_interval value too low.
*
* API name: {@code background_persist_interval}
*/
public final Builder backgroundPersistInterval(Function> fn) {
return this.backgroundPersistInterval(fn.apply(new Time.Builder()).build());
}
/**
* Advanced configuration option. Contains custom meta data about the job.
*
* API name: {@code custom_settings}
*/
public final Builder customSettings(@Nullable JsonData value) {
this.customSettings = value;
return this;
}
/**
* Advanced configuration option, which affects the automatic removal of old
* model snapshots for this job. It specifies a period of time (in days) after
* which only the first snapshot per day is retained. This period is relative to
* the timestamp of the most recent snapshot for this job. Valid values range
* from 0 to model_snapshot_retention_days.
*
* API name: {@code daily_model_snapshot_retention_after_days}
*/
public final Builder dailyModelSnapshotRetentionAfterDays(@Nullable Long value) {
this.dailyModelSnapshotRetentionAfterDays = value;
return this;
}
/**
* Required - Defines the format of the input data when you send data to the job
* by using the post data API. Note that when configure a datafeed, these
* properties are automatically set. When data is received via the post data
* API, it is not stored in Elasticsearch. Only the results for anomaly
* detection are retained.
*
* API name: {@code data_description}
*/
public final Builder dataDescription(DataDescription value) {
this.dataDescription = value;
return this;
}
/**
* Required - Defines the format of the input data when you send data to the job
* by using the post data API. Note that when configure a datafeed, these
* properties are automatically set. When data is received via the post data
* API, it is not stored in Elasticsearch. Only the results for anomaly
* detection are retained.
*
* API name: {@code data_description}
*/
public final Builder dataDescription(Function> fn) {
return this.dataDescription(fn.apply(new DataDescription.Builder()).build());
}
/**
* Defines a datafeed for the anomaly detection job. If Elasticsearch security
* features are enabled, your datafeed remembers which roles the user who
* created it had at the time of creation and runs the query using those same
* roles. If you provide secondary authorization headers, those credentials are
* used instead.
*
* API name: {@code datafeed_config}
*/
public final Builder datafeedConfig(@Nullable DatafeedConfig value) {
this.datafeedConfig = value;
return this;
}
/**
* Defines a datafeed for the anomaly detection job. If Elasticsearch security
* features are enabled, your datafeed remembers which roles the user who
* created it had at the time of creation and runs the query using those same
* roles. If you provide secondary authorization headers, those credentials are
* used instead.
*
* API name: {@code datafeed_config}
*/
public final Builder datafeedConfig(Function> fn) {
return this.datafeedConfig(fn.apply(new DatafeedConfig.Builder()).build());
}
/**
* A description of the job.
*
* API name: {@code description}
*/
public final Builder description(@Nullable String value) {
this.description = value;
return this;
}
/**
* A list of job groups. A job can belong to no groups or many.
*
* API name: {@code groups}
*
* Adds all elements of list to groups.
*/
public final Builder groups(List list) {
this.groups = _listAddAll(this.groups, list);
return this;
}
/**
* A list of job groups. A job can belong to no groups or many.
*
* API name: {@code groups}
*
* Adds one or more values to groups.
*/
public final Builder groups(String value, String... values) {
this.groups = _listAdd(this.groups, value, values);
return this;
}
/**
* Required - The identifier for the anomaly detection job. This identifier can
* contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and
* underscores. It must start and end with alphanumeric characters.
*
* API name: {@code job_id}
*/
public final Builder jobId(String value) {
this.jobId = value;
return this;
}
/**
* This advanced configuration option stores model information along with the
* results. It provides a more detailed view into anomaly detection. If you
* enable model plot it can add considerable overhead to the performance of the
* system; it is not feasible for jobs with many entities. Model plot provides a
* simplified and indicative view of the model and its bounds. It does not
* display complex features such as multivariate correlations or multimodal
* data. As such, anomalies may occasionally be reported which cannot be seen in
* the model plot. Model plot config can be configured when the job is created
* or updated later. It must be disabled if performance issues are experienced.
*
* API name: {@code model_plot_config}
*/
public final Builder modelPlotConfig(@Nullable ModelPlotConfig value) {
this.modelPlotConfig = value;
return this;
}
/**
* This advanced configuration option stores model information along with the
* results. It provides a more detailed view into anomaly detection. If you
* enable model plot it can add considerable overhead to the performance of the
* system; it is not feasible for jobs with many entities. Model plot provides a
* simplified and indicative view of the model and its bounds. It does not
* display complex features such as multivariate correlations or multimodal
* data. As such, anomalies may occasionally be reported which cannot be seen in
* the model plot. Model plot config can be configured when the job is created
* or updated later. It must be disabled if performance issues are experienced.
*
* API name: {@code model_plot_config}
*/
public final Builder modelPlotConfig(Function> fn) {
return this.modelPlotConfig(fn.apply(new ModelPlotConfig.Builder()).build());
}
/**
* Advanced configuration option, which affects the automatic removal of old
* model snapshots for this job. It specifies the maximum period of time (in
* days) that snapshots are retained. This period is relative to the timestamp
* of the most recent snapshot for this job. By default, snapshots ten days
* older than the newest snapshot are deleted.
*
* API name: {@code model_snapshot_retention_days}
*/
public final Builder modelSnapshotRetentionDays(@Nullable Long value) {
this.modelSnapshotRetentionDays = value;
return this;
}
/**
* Advanced configuration option. The period over which adjustments to the score
* are applied, as new data is seen. The default value is the longer of 30 days
* or 100 bucket spans.
*
* API name: {@code renormalization_window_days}
*/
public final Builder renormalizationWindowDays(@Nullable Long value) {
this.renormalizationWindowDays = value;
return this;
}
/**
* A text string that affects the name of the machine learning results index. By
* default, the job generates an index named .ml-anomalies-shared.
*
* API name: {@code results_index_name}
*/
public final Builder resultsIndexName(@Nullable String value) {
this.resultsIndexName = value;
return this;
}
/**
* Advanced configuration option. The period of time (in days) that results are
* retained. Age is calculated relative to the timestamp of the latest bucket
* result. If this property has a non-null value, once per day at 00:30 (server
* time), results that are the specified number of days older than the latest
* bucket result are deleted from Elasticsearch. The default value is null,
* which means all results are retained. Annotations generated by the system
* also count as results for retention purposes; they are deleted after the same
* number of days as results. Annotations added by users are retained forever.
*
* API name: {@code results_retention_days}
*/
public final Builder resultsRetentionDays(@Nullable Long value) {
this.resultsRetentionDays = value;
return this;
}
@Override
protected Builder self() {
return this;
}
/**
* Builds a {@link PutJobRequest}.
*
* @throws NullPointerException
* if some of the required fields are null.
*/
public PutJobRequest build() {
_checkSingleUse();
return new PutJobRequest(this);
}
}
// ---------------------------------------------------------------------------------------------
/**
* Json deserializer for {@link PutJobRequest}
*/
public static final JsonpDeserializer _DESERIALIZER = ObjectBuilderDeserializer.lazy(Builder::new,
PutJobRequest::setupPutJobRequestDeserializer);
protected static void setupPutJobRequestDeserializer(ObjectDeserializer op) {
op.add(Builder::allowLazyOpen, JsonpDeserializer.booleanDeserializer(), "allow_lazy_open");
op.add(Builder::analysisConfig, AnalysisConfig._DESERIALIZER, "analysis_config");
op.add(Builder::analysisLimits, AnalysisLimits._DESERIALIZER, "analysis_limits");
op.add(Builder::backgroundPersistInterval, Time._DESERIALIZER, "background_persist_interval");
op.add(Builder::customSettings, JsonData._DESERIALIZER, "custom_settings");
op.add(Builder::dailyModelSnapshotRetentionAfterDays, JsonpDeserializer.longDeserializer(),
"daily_model_snapshot_retention_after_days");
op.add(Builder::dataDescription, DataDescription._DESERIALIZER, "data_description");
op.add(Builder::datafeedConfig, DatafeedConfig._DESERIALIZER, "datafeed_config");
op.add(Builder::description, JsonpDeserializer.stringDeserializer(), "description");
op.add(Builder::groups, JsonpDeserializer.arrayDeserializer(JsonpDeserializer.stringDeserializer()), "groups");
op.add(Builder::modelPlotConfig, ModelPlotConfig._DESERIALIZER, "model_plot_config");
op.add(Builder::modelSnapshotRetentionDays, JsonpDeserializer.longDeserializer(),
"model_snapshot_retention_days");
op.add(Builder::renormalizationWindowDays, JsonpDeserializer.longDeserializer(), "renormalization_window_days");
op.add(Builder::resultsIndexName, JsonpDeserializer.stringDeserializer(), "results_index_name");
op.add(Builder::resultsRetentionDays, JsonpDeserializer.longDeserializer(), "results_retention_days");
}
// ---------------------------------------------------------------------------------------------
/**
* Endpoint "{@code ml.put_job}".
*/
public static final Endpoint _ENDPOINT = new SimpleEndpoint<>(
"es/ml.put_job",
// Request method
request -> {
return "PUT";
},
// Request path
request -> {
final int _jobId = 1 << 0;
int propsSet = 0;
propsSet |= _jobId;
if (propsSet == (_jobId)) {
StringBuilder buf = new StringBuilder();
buf.append("/_ml");
buf.append("/anomaly_detectors");
buf.append("/");
SimpleEndpoint.pathEncode(request.jobId, buf);
return buf.toString();
}
throw SimpleEndpoint.noPathTemplateFound("path");
},
// Path parameters
request -> {
Map params = new HashMap<>();
final int _jobId = 1 << 0;
int propsSet = 0;
propsSet |= _jobId;
if (propsSet == (_jobId)) {
params.put("jobId", request.jobId);
}
return params;
},
// Request parameters
request -> {
return Collections.emptyMap();
}, SimpleEndpoint.emptyMap(), true, PutJobResponse._DESERIALIZER);
}