use of com.linkedin.thirdeye.client.ThirdEyeResponse in project pinot by linkedin.
the class SeverityComputationUtil method getSum.
private double getSum(ThirdEyeRequest thirdEyeRequest) throws Exception {
double sum = 0;
ThirdEyeResponse response = thirdEyeClient.execute(thirdEyeRequest);
if (response.getNumRows() == 1) {
ThirdEyeResponseRow row = response.getRow(0);
sum = row.getMetrics().get(0);
}
return sum;
}
use of com.linkedin.thirdeye.client.ThirdEyeResponse in project pinot by linkedin.
the class AnomalyApplicationEndToEndTest method getMockResponse.
private ThirdEyeResponse getMockResponse(ThirdEyeRequest request) {
ThirdEyeResponse response = null;
Random rand = new Random();
DatasetConfigDTO datasetConfig = datasetConfigDAO.findByDataset(collection);
TimeSpec dataTimeSpec = ThirdEyeUtils.getTimeSpecFromDatasetConfig(datasetConfig);
List<String[]> rows = new ArrayList<>();
DateTime start = request.getStartTimeInclusive();
DateTime end = request.getEndTimeExclusive();
List<String> metrics = request.getMetricNames();
int bucket = 0;
while (start.isBefore(end)) {
String[] row = new String[metrics.size() + 1];
row[0] = String.valueOf(bucket);
bucket++;
for (int i = 0; i < metrics.size(); i++) {
row[i + 1] = String.valueOf(rand.nextInt(1000));
}
rows.add(row);
start = start.plusHours(1);
}
response = new PinotThirdEyeResponse(request, rows, dataTimeSpec);
return response;
}
use of com.linkedin.thirdeye.client.ThirdEyeResponse in project pinot by linkedin.
the class AnomalyApplicationEndToEndTest method setup.
private void setup() throws Exception {
// Mock query cache
ThirdEyeClient mockThirdeyeClient = Mockito.mock(ThirdEyeClient.class);
Mockito.when(mockThirdeyeClient.execute(Matchers.any(ThirdEyeRequest.class))).thenAnswer(new Answer<ThirdEyeResponse>() {
@Override
public ThirdEyeResponse answer(InvocationOnMock invocation) throws Throwable {
Object[] args = invocation.getArguments();
ThirdEyeRequest request = (ThirdEyeRequest) args[0];
ThirdEyeResponse response = getMockResponse(request);
return response;
}
});
QueryCache mockQueryCache = new QueryCache(mockThirdeyeClient, Executors.newFixedThreadPool(10));
cacheRegistry.registerQueryCache(mockQueryCache);
MetricConfigDTO metricConfig = getTestMetricConfig(collection, metric, 1L);
// create metric config in cache
LoadingCache<MetricDataset, MetricConfigDTO> mockMetricConfigCache = Mockito.mock(LoadingCache.class);
Mockito.when(mockMetricConfigCache.get(new MetricDataset(metric, collection))).thenReturn(metricConfig);
cacheRegistry.registerMetricConfigCache(mockMetricConfigCache);
// create dataset config in cache
LoadingCache<String, DatasetConfigDTO> mockDatasetConfigCache = Mockito.mock(LoadingCache.class);
Mockito.when(mockDatasetConfigCache.get(collection)).thenReturn(getTestDatasetConfig(collection));
cacheRegistry.registerDatasetConfigCache(mockDatasetConfigCache);
ResultSet mockResultSet = Mockito.mock(ResultSet.class);
Mockito.when(mockResultSet.getRowCount()).thenReturn(0);
ResultSetGroup mockResultSetGroup = Mockito.mock(ResultSetGroup.class);
Mockito.when(mockResultSetGroup.getResultSet(0)).thenReturn(mockResultSet);
LoadingCache<PinotQuery, ResultSetGroup> mockResultSetGroupCache = Mockito.mock(LoadingCache.class);
Mockito.when(mockResultSetGroupCache.get(Matchers.any(PinotQuery.class))).thenAnswer(new Answer<ResultSetGroup>() {
@Override
public ResultSetGroup answer(InvocationOnMock invocation) throws Throwable {
return mockResultSetGroup;
}
});
cacheRegistry.registerResultSetGroupCache(mockResultSetGroupCache);
// Application config
thirdeyeAnomalyConfig = new ThirdEyeAnomalyConfiguration();
thirdeyeAnomalyConfig.setId(id);
thirdeyeAnomalyConfig.setDashboardHost(dashboardHost);
MonitorConfiguration monitorConfiguration = new MonitorConfiguration();
monitorConfiguration.setMonitorFrequency(new TimeGranularity(30, TimeUnit.SECONDS));
thirdeyeAnomalyConfig.setMonitorConfiguration(monitorConfiguration);
thirdeyeAnomalyConfig.setRootDir(System.getProperty("dw.rootDir", "NOT_SET(dw.rootDir)"));
// create test anomaly function
functionId = anomalyFunctionDAO.save(getTestFunctionSpec(metric, collection));
// create test email configuration
emailConfigurationDAO.save(getTestEmailConfiguration(metric, collection));
// create test alert configuration
alertConfigDAO.save(getTestAlertConfiguration("test alert v2"));
// create test dataset config
datasetConfigDAO.save(getTestDatasetConfig(collection));
// setup function factory for worker and merger
InputStream factoryStream = AnomalyApplicationEndToEndTest.class.getResourceAsStream(functionPropertiesFile);
anomalyFunctionFactory = new AnomalyFunctionFactory(factoryStream);
// setup alertfilter factory for worker
InputStream alertFilterStream = AnomalyApplicationEndToEndTest.class.getResourceAsStream(alertFilterPropertiesFile);
alertFilterFactory = new AlertFilterFactory(alertFilterStream);
}
use of com.linkedin.thirdeye.client.ThirdEyeResponse in project pinot by linkedin.
the class TimeSeriesHandler method handle.
public TimeSeriesResponse handle(TimeSeriesRequest timeSeriesRequest) throws Exception {
List<Range<DateTime>> timeranges = new ArrayList<>();
TimeGranularity aggregationTimeGranularity = timeSeriesRequest.getAggregationTimeGranularity();
// time ranges
DateTime start = timeSeriesRequest.getStart();
DateTime end = timeSeriesRequest.getEnd();
if (timeSeriesRequest.isEndDateInclusive()) {
// ThirdEyeRequest is exclusive endpoint, so increment by one bucket
end = end.plus(aggregationTimeGranularity.toMillis());
}
timeranges = TimeRangeUtils.computeTimeRanges(aggregationTimeGranularity, start, end);
// create request
ThirdEyeRequest request = createThirdEyeRequest("timeseries", timeSeriesRequest, start, end);
Future<ThirdEyeResponse> responseFuture = queryCache.getQueryResultAsync(request);
// 5 minutes timeout
ThirdEyeResponse response = responseFuture.get(5, TimeUnit.MINUTES);
TimeSeriesResponseParser timeSeriesResponseParser = new TimeSeriesResponseParser(response, timeranges, timeSeriesRequest.getAggregationTimeGranularity(), timeSeriesRequest.getGroupByDimensions());
List<TimeSeriesRow> rows = timeSeriesResponseParser.parseResponse();
// compute the derived metrics
computeDerivedMetrics(timeSeriesRequest, rows);
return new TimeSeriesResponse(rows);
}
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