Examples with Bucketer com.optimizely.ab.bucketing.Bucketer used on opensource projects

Example 11 with Bucketer

use of com.optimizely.ab.bucketing.Bucketer in project java-sdk by optimizely.

the class EventFactoryTest method createConversionEventAndroidClientEngineClientVersion.

/**
 * Verify that supplying {@link ClientEngineInfo} with a custom client engine and client version results in conversion
 * events being sent with the overriden values.
 */
@Test
public void createConversionEventAndroidClientEngineClientVersion() throws Exception {
    ClientEngineInfo.setClientEngine(EventBatch.ClientEngine.ANDROID_SDK);
    Attribute attribute = validProjectConfig.getAttributes().get(0);
    EventType eventType = validProjectConfig.getEventTypes().get(0);
    Bucketer mockBucketAlgorithm = mock(Bucketer.class);
    for (Experiment experiment : validProjectConfig.getExperiments()) {
        when(mockBucketAlgorithm.bucket(experiment, userId, validProjectConfig)).thenReturn(DecisionResponse.responseNoReasons(experiment.getVariations().get(0)));
    }
    Map<String, String> attributeMap = Collections.singletonMap(attribute.getKey(), "value");
    LogEvent conversionEvent = createConversionEvent(validProjectConfig, userId, eventType.getId(), eventType.getKey(), attributeMap, Collections.emptyMap());
    EventBatch conversion = gson.fromJson(conversionEvent.getBody(), EventBatch.class);
    assertThat(conversion.getClientName(), is(EventBatch.ClientEngine.ANDROID_SDK.getClientEngineValue()));
// assertThat(conversion.getClientVersion(), is("0.0.0"));
}

Example 12 with Bucketer

use of com.optimizely.ab.bucketing.Bucketer in project java-sdk by optimizely.

the class EventFactoryTest method createConversionParamsWithEventMetrics.

/**
 * Verify that "revenue" and "value" are properly recorded in a conversion request as {@link com.optimizely.ab.event.internal.payload.Event} objects.
 * "revenue" is fixed-point and "value" is floating-point.
 */
@Test
public void createConversionParamsWithEventMetrics() throws Exception {
    Long revenue = 1234L;
    Double value = 13.37;
    // use the "valid" project config and its associated experiment, variation, and attributes
    Attribute attribute = validProjectConfig.getAttributes().get(0);
    EventType eventType = validProjectConfig.getEventTypes().get(0);
    Bucketer mockBucketAlgorithm = mock(Bucketer.class);
    // Bucket to the first variation for all experiments.
    for (Experiment experiment : validProjectConfig.getExperiments()) {
        when(mockBucketAlgorithm.bucket(experiment, userId, validProjectConfig)).thenReturn(DecisionResponse.responseNoReasons(experiment.getVariations().get(0)));
    }
    Map<String, String> attributeMap = Collections.singletonMap(attribute.getKey(), "value");
    Map<String, Object> eventTagMap = new HashMap<String, Object>();
    eventTagMap.put(ReservedEventKey.REVENUE.toString(), revenue);
    eventTagMap.put(ReservedEventKey.VALUE.toString(), value);
    LogEvent conversionEvent = createConversionEvent(validProjectConfig, userId, eventType.getId(), eventType.getKey(), attributeMap, eventTagMap);
    EventBatch conversion = gson.fromJson(conversionEvent.getBody(), EventBatch.class);
    // we're not going to verify everything, only the event metrics
    assertThat(conversion.getVisitors().get(0).getSnapshots().get(0).getEvents().get(0).getRevenue().longValue(), is(revenue));
    assertThat(conversion.getVisitors().get(0).getSnapshots().get(0).getEvents().get(0).getValue().doubleValue(), is(value));
}