use of com.optimizely.ab.bucketing.DecisionService in project java-sdk by optimizely.
the class EventBuilderTest method createConversionEventWithBucketingId.
/**
* Verify {@link EventBatch} event creation
*/
@Test
public void createConversionEventWithBucketingId() throws Exception {
// use the "valid" project config and its associated experiment, variation, and attributes
Attribute attribute = validProjectConfig.getAttributes().get(0);
EventType eventType = validProjectConfig.getEventTypes().get(0);
String userId = "userId";
String bucketingId = "bucketingId";
Bucketer mockBucketAlgorithm = mock(Bucketer.class);
List<Experiment> allExperiments = validProjectConfig.getExperiments();
List<Experiment> experimentsForEventKey = validProjectConfig.getExperimentsForEventKey(eventType.getKey());
// call the bucket function.
for (Experiment experiment : allExperiments) {
when(mockBucketAlgorithm.bucket(experiment, bucketingId)).thenReturn(experiment.getVariations().get(0));
}
DecisionService decisionService = new DecisionService(mockBucketAlgorithm, mock(ErrorHandler.class), validProjectConfig, mock(UserProfileService.class));
Map<String, String> attributeMap = new java.util.HashMap<String, String>();
attributeMap.put(attribute.getKey(), AUDIENCE_GRYFFINDOR_VALUE);
attributeMap.put(com.optimizely.ab.bucketing.DecisionService.BUCKETING_ATTRIBUTE, bucketingId);
Map<String, Object> eventTagMap = new HashMap<String, Object>();
eventTagMap.put("boolean_param", false);
eventTagMap.put("string_param", "123");
Map<Experiment, Variation> experimentVariationMap = createExperimentVariationMap(validProjectConfig, decisionService, eventType.getKey(), userId, attributeMap);
LogEvent conversionEvent = builder.createConversionEvent(validProjectConfig, experimentVariationMap, userId, eventType.getId(), eventType.getKey(), attributeMap, eventTagMap);
List<Decision> expectedDecisions = new ArrayList<Decision>();
for (Experiment experiment : experimentsForEventKey) {
if (experiment.isRunning()) {
Decision decision = new Decision(experiment.getLayerId(), experiment.getId(), experiment.getVariations().get(0).getId(), false);
expectedDecisions.add(decision);
}
}
// verify that the request endpoint is correct
assertThat(conversionEvent.getEndpointUrl(), is(EventBuilder.EVENT_ENDPOINT));
EventBatch conversion = gson.fromJson(conversionEvent.getBody(), EventBatch.class);
// verify payload information
assertThat(conversion.getVisitors().get(0).getVisitorId(), is(userId));
assertThat((double) conversion.getVisitors().get(0).getSnapshots().get(0).getEvents().get(0).getTimestamp(), closeTo((double) System.currentTimeMillis(), 1000.0));
assertThat(conversion.getProjectId(), is(validProjectConfig.getProjectId()));
assertThat(conversion.getAccountId(), is(validProjectConfig.getAccountId()));
com.optimizely.ab.event.internal.payload.Attribute attribute1 = new com.optimizely.ab.event.internal.payload.Attribute(attribute.getId(), attribute.getKey(), com.optimizely.ab.event.internal.payload.Attribute.CUSTOM_ATTRIBUTE_TYPE, AUDIENCE_GRYFFINDOR_VALUE);
com.optimizely.ab.event.internal.payload.Attribute attribute2 = new com.optimizely.ab.event.internal.payload.Attribute(com.optimizely.ab.bucketing.DecisionService.BUCKETING_ATTRIBUTE, EventBuilder.ATTRIBUTE_KEY_FOR_BUCKETING_ATTRIBUTE, com.optimizely.ab.event.internal.payload.Attribute.CUSTOM_ATTRIBUTE_TYPE, bucketingId);
List<com.optimizely.ab.event.internal.payload.Attribute> expectedUserFeatures = Arrays.asList(attribute1, attribute2);
assertEquals(conversion.getVisitors().get(0).getAttributes(), expectedUserFeatures);
assertThat(conversion.getVisitors().get(0).getSnapshots().get(0).getDecisions(), containsInAnyOrder(expectedDecisions.toArray()));
assertEquals(conversion.getVisitors().get(0).getSnapshots().get(0).getEvents().get(0).getEntityId(), eventType.getId());
assertEquals(conversion.getVisitors().get(0).getSnapshots().get(0).getEvents().get(0).getType(), eventType.getKey());
assertEquals(conversion.getVisitors().get(0).getSnapshots().get(0).getEvents().get(0).getKey(), eventType.getKey());
assertEquals(conversion.getVisitors().get(0).getSnapshots().get(0).getEvents().get(0).getRevenue(), null);
assertEquals(conversion.getVisitors().get(0).getSnapshots().get(0).getEvents().get(0).getQuantity(), null);
assertTrue(conversion.getVisitors().get(0).getSnapshots().get(0).getEvents().get(0).getTags().equals(eventTagMap));
assertFalse(conversion.getVisitors().get(0).getSnapshots().get(0).getDecisions().get(0).getIsCampaignHoldback());
assertEquals(conversion.getAnonymizeIp(), validProjectConfig.getAnonymizeIP());
assertEquals(conversion.getClientName(), EventBatch.ClientEngine.JAVA_SDK.getClientEngineValue());
assertEquals(conversion.getClientVersion(), BuildVersionInfo.VERSION);
}
use of com.optimizely.ab.bucketing.DecisionService in project java-sdk by optimizely.
the class EventBuilderTest 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)).thenReturn(experiment.getVariations().get(0));
}
DecisionService decisionService = new DecisionService(mockBucketAlgorithm, mock(ErrorHandler.class), validProjectConfig, mock(UserProfileService.class));
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);
Map<Experiment, Variation> experimentVariationMap = createExperimentVariationMap(validProjectConfig, decisionService, eventType.getKey(), userId, attributeMap);
LogEvent conversionEvent = builder.createConversionEvent(validProjectConfig, experimentVariationMap, 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));
}
use of com.optimizely.ab.bucketing.DecisionService in project java-sdk by optimizely.
the class EventBuilderTest method createConversionEvent.
/**
* Verify {@link com.optimizely.ab.event.internal.payload.EventBatch} event creation
*/
@Test
public void createConversionEvent() throws Exception {
// use the "valid" project config and its associated experiment, variation, and attributes
Attribute attribute = validProjectConfig.getAttributes().get(0);
EventType eventType = validProjectConfig.getEventTypes().get(0);
String userId = "userId";
Bucketer mockBucketAlgorithm = mock(Bucketer.class);
List<Experiment> allExperiments = validProjectConfig.getExperiments();
List<Experiment> experimentsForEventKey = validProjectConfig.getExperimentsForEventKey(eventType.getKey());
// call the bucket function.
for (Experiment experiment : allExperiments) {
when(mockBucketAlgorithm.bucket(experiment, userId)).thenReturn(experiment.getVariations().get(0));
}
DecisionService decisionService = new DecisionService(mockBucketAlgorithm, mock(ErrorHandler.class), validProjectConfig, mock(UserProfileService.class));
Map<String, String> attributeMap = Collections.singletonMap(attribute.getKey(), AUDIENCE_GRYFFINDOR_VALUE);
Map<String, Object> eventTagMap = new HashMap<String, Object>();
eventTagMap.put("boolean_param", false);
eventTagMap.put("string_param", "123");
Map<Experiment, Variation> experimentVariationMap = createExperimentVariationMap(validProjectConfig, decisionService, eventType.getKey(), userId, attributeMap);
LogEvent conversionEvent = builder.createConversionEvent(validProjectConfig, experimentVariationMap, userId, eventType.getId(), eventType.getKey(), attributeMap, eventTagMap);
List<Decision> expectedDecisions = new ArrayList<Decision>();
for (Experiment experiment : experimentsForEventKey) {
if (experiment.isRunning()) {
Decision layerState = new Decision(experiment.getLayerId(), experiment.getId(), experiment.getVariations().get(0).getId(), false);
expectedDecisions.add(layerState);
}
}
// verify that the request endpoint is correct
assertThat(conversionEvent.getEndpointUrl(), is(EventBuilder.EVENT_ENDPOINT));
EventBatch conversion = gson.fromJson(conversionEvent.getBody(), EventBatch.class);
// verify payload information
assertThat(conversion.getVisitors().get(0).getVisitorId(), is(userId));
assertThat((double) conversion.getVisitors().get(0).getSnapshots().get(0).getEvents().get(0).getTimestamp(), closeTo((double) System.currentTimeMillis(), 120.0));
assertThat(conversion.getProjectId(), is(validProjectConfig.getProjectId()));
assertThat(conversion.getAccountId(), is(validProjectConfig.getAccountId()));
com.optimizely.ab.event.internal.payload.Attribute feature = new com.optimizely.ab.event.internal.payload.Attribute(attribute.getId(), attribute.getKey(), com.optimizely.ab.event.internal.payload.Attribute.CUSTOM_ATTRIBUTE_TYPE, AUDIENCE_GRYFFINDOR_VALUE);
List<com.optimizely.ab.event.internal.payload.Attribute> expectedUserFeatures = Collections.singletonList(feature);
assertEquals(conversion.getVisitors().get(0).getAttributes(), expectedUserFeatures);
assertThat(conversion.getVisitors().get(0).getSnapshots().get(0).getDecisions(), containsInAnyOrder(expectedDecisions.toArray()));
assertEquals(conversion.getVisitors().get(0).getSnapshots().get(0).getEvents().get(0).getEntityId(), eventType.getId());
assertEquals(conversion.getVisitors().get(0).getSnapshots().get(0).getEvents().get(0).getKey(), eventType.getKey());
assertEquals(conversion.getVisitors().get(0).getSnapshots().get(0).getEvents().get(0).getRevenue(), null);
assertTrue(conversion.getVisitors().get(0).getAttributes().containsAll(expectedUserFeatures));
assertTrue(conversion.getVisitors().get(0).getSnapshots().get(0).getEvents().get(0).getTags().equals(eventTagMap));
assertFalse(conversion.getVisitors().get(0).getSnapshots().get(0).getDecisions().get(0).getIsCampaignHoldback());
assertEquals(conversion.getAnonymizeIp(), validProjectConfig.getAnonymizeIP());
assertEquals(conversion.getClientName(), EventBatch.ClientEngine.JAVA_SDK.getClientEngineValue());
assertEquals(conversion.getClientVersion(), BuildVersionInfo.VERSION);
}
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