Example usage for com.amazonaws.services.cloudwatch.model Metric getNamespace

List of usage examples for com.amazonaws.services.cloudwatch.model Metric getNamespace

Introduction

In this page you can find the example usage for com.amazonaws.services.cloudwatch.model Metric getNamespace.

Prototype


public String getNamespace() 

Source Link

Document

The namespace of the metric.

Usage

From source file:com.blubb.andcw.ChartBuilder.java

License:Apache License

@Override
protected void onCreate(Bundle savedInstanceState) {
    super.onCreate(savedInstanceState);
    Metric m = new Metric().withMetricName((String) getIntent().getExtras().get("metric"))
            .withNamespace((String) getIntent().getExtras().get("namespace"));
    Dimension d = new Dimension().withName((String) getIntent().getExtras().get("dimension"))
            .withValue((String) getIntent().getExtras().get("dimensionvalue"));
    TimeSeries series = new TimeSeries(m.getMetricName() + " - " + d.getName() + " " + d.getValue());
    AWSCredentials awsc = getAWSCredentials();
    AmazonCloudWatchAsyncClient acw = new AmazonCloudWatchAsyncClient(awsc);
    long offset = new Date().getTime() - 1000 * 3600 * 24;
    GetMetricStatisticsRequest gmsr = new GetMetricStatisticsRequest().withStartTime(new Date(offset))
            .withMetricName(m.getMetricName()).withNamespace(m.getNamespace()).withDimensions(d).withPeriod(300)
            .withStatistics("Average").withEndTime(new Date());
    Log.i("AndCW req", gmsr.toString());
    Future<GetMetricStatisticsResult> res = acw.getMetricStatisticsAsync(gmsr);
    TreeSet<Datapoint> data = new TreeSet<Datapoint>(new Comparator<Datapoint>() {

        public int compare(Datapoint lhs, Datapoint rhs) {
            return lhs.getTimestamp().compareTo(rhs.getTimestamp());
        }//w w w .  j  ava  2 s .c  o m
    });
    try {
        data.addAll((List<Datapoint>) res.get().getDatapoints()); // FIXME
    } catch (InterruptedException e) {
        e.printStackTrace();
    } catch (ExecutionException e) {
        e.printStackTrace();
    }
    for (Datapoint dp : data) {
        series.add(dp.getTimestamp(), dp.getAverage());
    }
    XYSeriesRenderer renderer = new XYSeriesRenderer();
    mRenderer.addSeriesRenderer(renderer);
    renderer.setPointStyle(PointStyle.CIRCLE);
    renderer.setFillPoints(true);
    mDataset.addSeries(series);
    mRenderer.setApplyBackgroundColor(true);
    mRenderer.setBackgroundColor(Color.argb(100, 50, 50, 50));
    mRenderer.setAxisTitleTextSize(16);
    mRenderer.setChartTitleTextSize(20);
    mRenderer.setLabelsTextSize(15);
    mRenderer.setLegendTextSize(15);
    mRenderer.setMargins(new int[] { 20, 30, 15, 0 });
    mRenderer.setZoomButtonsVisible(true);
    mRenderer.setPointSize(1);
    mChartView = ChartFactory.getTimeChartView(this, mDataset, mRenderer, null);
    setContentView(mChartView);

}