com.azure.resourcemanager.monitor.models.TimeSeriesBaseline Maven / Gradle / Ivy

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// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
// Code generated by Microsoft (R) AutoRest Code Generator.

package com.azure.resourcemanager.monitor.models;

import com.azure.core.annotation.Fluent;
import com.azure.core.util.logging.ClientLogger;
import com.fasterxml.jackson.annotation.JsonProperty;
import java.time.OffsetDateTime;
import java.util.List;

/**
 * The baseline values for a single time series.
 */
@Fluent
public final class TimeSeriesBaseline {
    /*
     * The aggregation type of the metric.
     */
    @JsonProperty(value = "aggregation", required = true)
    private String aggregation;

    /*
     * The dimensions of this time series.
     */
    @JsonProperty(value = "dimensions")
    private List dimensions;

    /*
     * The list of timestamps of the baselines.
     */
    @JsonProperty(value = "timestamps", required = true)
    private List timestamps;

    /*
     * The baseline values for each sensitivity.
     */
    @JsonProperty(value = "data", required = true)
    private List data;

    /*
     * The baseline metadata values.
     */
    @JsonProperty(value = "metadataValues")
    private List metadataValues;

    /**
     * Creates an instance of TimeSeriesBaseline class.
     */
    public TimeSeriesBaseline() {
    }

    /**
     * Get the aggregation property: The aggregation type of the metric.
     * 
     * @return the aggregation value.
     */
    public String aggregation() {
        return this.aggregation;
    }

    /**
     * Set the aggregation property: The aggregation type of the metric.
     * 
     * @param aggregation the aggregation value to set.
     * @return the TimeSeriesBaseline object itself.
     */
    public TimeSeriesBaseline withAggregation(String aggregation) {
        this.aggregation = aggregation;
        return this;
    }

    /**
     * Get the dimensions property: The dimensions of this time series.
     * 
     * @return the dimensions value.
     */
    public List dimensions() {
        return this.dimensions;
    }

    /**
     * Set the dimensions property: The dimensions of this time series.
     * 
     * @param dimensions the dimensions value to set.
     * @return the TimeSeriesBaseline object itself.
     */
    public TimeSeriesBaseline withDimensions(List dimensions) {
        this.dimensions = dimensions;
        return this;
    }

    /**
     * Get the timestamps property: The list of timestamps of the baselines.
     * 
     * @return the timestamps value.
     */
    public List timestamps() {
        return this.timestamps;
    }

    /**
     * Set the timestamps property: The list of timestamps of the baselines.
     * 
     * @param timestamps the timestamps value to set.
     * @return the TimeSeriesBaseline object itself.
     */
    public TimeSeriesBaseline withTimestamps(List timestamps) {
        this.timestamps = timestamps;
        return this;
    }

    /**
     * Get the data property: The baseline values for each sensitivity.
     * 
     * @return the data value.
     */
    public List data() {
        return this.data;
    }

    /**
     * Set the data property: The baseline values for each sensitivity.
     * 
     * @param data the data value to set.
     * @return the TimeSeriesBaseline object itself.
     */
    public TimeSeriesBaseline withData(List data) {
        this.data = data;
        return this;
    }

    /**
     * Get the metadataValues property: The baseline metadata values.
     * 
     * @return the metadataValues value.
     */
    public List metadataValues() {
        return this.metadataValues;
    }

    /**
     * Set the metadataValues property: The baseline metadata values.
     * 
     * @param metadataValues the metadataValues value to set.
     * @return the TimeSeriesBaseline object itself.
     */
    public TimeSeriesBaseline withMetadataValues(List metadataValues) {
        this.metadataValues = metadataValues;
        return this;
    }

    /**
     * Validates the instance.
     * 
     * @throws IllegalArgumentException thrown if the instance is not valid.
     */
    public void validate() {
        if (aggregation() == null) {
            throw LOGGER.logExceptionAsError(
                new IllegalArgumentException("Missing required property aggregation in model TimeSeriesBaseline"));
        }
        if (dimensions() != null) {
            dimensions().forEach(e -> e.validate());
        }
        if (timestamps() == null) {
            throw LOGGER.logExceptionAsError(
                new IllegalArgumentException("Missing required property timestamps in model TimeSeriesBaseline"));
        }
        if (data() == null) {
            throw LOGGER.logExceptionAsError(
                new IllegalArgumentException("Missing required property data in model TimeSeriesBaseline"));
        } else {
            data().forEach(e -> e.validate());
        }
        if (metadataValues() != null) {
            metadataValues().forEach(e -> e.validate());
        }
    }

    private static final ClientLogger LOGGER = new ClientLogger(TimeSeriesBaseline.class);
}