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The Amazon Kinesis Client Library for Java enables Java developers to easily consume and process data from Amazon Kinesis.

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/*
 * Copyright 2012-2015 Amazon.com, Inc. or its affiliates. All Rights Reserved.
 *
 * Licensed under the Amazon Software License (the "License").
 * You may not use this file except in compliance with the License.
 * A copy of the License is located at
 *
 * http://aws.amazon.com/asl/
 *
 * or in the "license" file accompanying this file. This file 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 com.amazonaws.services.kinesis.metrics.impl;

import java.util.ArrayList;
import java.util.List;
import java.util.Set;

import com.amazonaws.services.cloudwatch.model.MetricDatum;
import com.amazonaws.services.kinesis.metrics.interfaces.IMetricsScope;
import com.amazonaws.services.kinesis.metrics.interfaces.MetricsLevel;

/**
 * Metrics scope for CloudWatch metrics.
 */
public class CWMetricsScope extends FilteringMetricsScope implements IMetricsScope {

    private CWPublisherRunnable publisher;

    /**
     * Creates a CloudWatch metrics scope with given metrics level and enabled dimensions.
     * @param publisher Publisher that emits CloudWatch metrics periodically.
     * @param metricsLevel Metrics level to enable. All data with level below this will be dropped.
     * @param metricsEnabledDimensions Enabled dimensions for CloudWatch metrics.
     */
    public CWMetricsScope(CWPublisherRunnable publisher,
            MetricsLevel metricsLevel, Set metricsEnabledDimensions) {
        super(metricsLevel, metricsEnabledDimensions);
        this.publisher = publisher;
    }

    /**
     * Once we call this method, all MetricDatums added to the scope will be enqueued to the publisher runnable.
     * We enqueue MetricDatumWithKey because the publisher will aggregate similar metrics (i.e. MetricDatum with the
     * same metricName) in the background thread. Hence aggregation using MetricDatumWithKey will be especially useful
     * when aggregating across multiple MetricScopes.
     */
    @Override
    public void end() {
        super.end();

        List> dataWithKeys = new ArrayList>();

        for (MetricDatum datum : data.values()) {
            datum.setDimensions(getDimensions());
            dataWithKeys.add(new MetricDatumWithKey(new CWMetricKey(datum), datum));
        }

        publisher.enqueue(dataWithKeys);
    }

}