Examples with JobRuntimePredictions com.netflix.titus.runtime.connector.prediction.JobRuntimePredictions used on opensource projects

Example 1 with JobRuntimePredictions

use of com.netflix.titus.runtime.connector.prediction.JobRuntimePredictions in project titus-control-plane by Netflix.

the class JobRuntimePredictionSanitizerTest method runtimeLimitIsOnlyUsedWhenWithinAllowedConfig.

@Test
public void runtimeLimitIsOnlyUsedWhenWithinAllowedConfig() {
    JobRuntimePredictionClient client = mock(JobRuntimePredictionClient.class);
    JobRuntimePredictions predictions = new JobRuntimePredictions("v1", modelId, new TreeSet<>());
    when(client.getRuntimePredictions(any())).thenReturn(Mono.just(predictions));
    JobRuntimePredictionConfiguration lowConfig = mock(JobRuntimePredictionConfiguration.class);
    // lower than the 60s runtime limit on the job
    when(lowConfig.getMaxOpportunisticRuntimeLimitMs()).thenReturn(30_000L);
    AdmissionSanitizer<JobDescriptor> sanitizer = new JobRuntimePredictionSanitizer(client, JobRuntimePredictionSelectors.best(), lowConfig, TitusRuntimes.test());
    StepVerifier.create(sanitizer.sanitizeAndApply(jobDescriptor)).assertNext(result -> assertThat(((JobDescriptor<?>) result).getAttributes()).doesNotContainKeys(JOB_ATTRIBUTES_RUNTIME_PREDICTION_CONFIDENCE, JOB_ATTRIBUTES_RUNTIME_PREDICTION_SEC, JOB_ATTRIBUTES_RUNTIME_PREDICTION_AVAILABLE).containsEntry(JOB_ATTRIBUTES_SANITIZATION_SKIPPED_RUNTIME_PREDICTION, "true").containsEntry(JOB_ATTRIBUTES_RUNTIME_PREDICTION_MODEL_ID, modelId).containsEntry(JOB_ATTRIBUTES_RUNTIME_PREDICTION_VERSION, "v1")).verifyComplete();
}

Example 2 with JobRuntimePredictions

use of com.netflix.titus.runtime.connector.prediction.JobRuntimePredictions in project titus-control-plane by Netflix.

the class JobRuntimePredictionSanitizerTest method higherQualityPredictionsMustBeLonger.

@Test
public void higherQualityPredictionsMustBeLonger() {
    JobRuntimePredictionClient client = mock(JobRuntimePredictionClient.class);
    JobRuntimePredictions predictions = new JobRuntimePredictions("v1", modelId, new TreeSet<>(Arrays.asList(new JobRuntimePrediction(0.05, 5.1), new JobRuntimePrediction(0.25, 4.0), new JobRuntimePrediction(0.35, 4.1), new JobRuntimePrediction(0.90, 4.0))));
    when(client.getRuntimePredictions(any())).thenReturn(Mono.just(predictions));
    AdmissionSanitizer<JobDescriptor> sanitizer = new JobRuntimePredictionSanitizer(client, JobRuntimePredictionSelectors.best(), config, TitusRuntimes.test());
    StepVerifier.create(sanitizer.sanitizeAndApply(jobDescriptor)).assertNext(result -> assertThat(((JobDescriptor<?>) result).getAttributes()).containsEntry(JOB_ATTRIBUTES_SANITIZATION_SKIPPED_RUNTIME_PREDICTION, "true").containsEntry(JOB_ATTRIBUTES_RUNTIME_PREDICTION_MODEL_ID, modelId).containsEntry(JOB_ATTRIBUTES_RUNTIME_PREDICTION_VERSION, "v1").containsEntry(JOB_ATTRIBUTES_RUNTIME_PREDICTION_AVAILABLE, "0.05=5.1;0.25=4.0;0.35=4.1;0.9=4.0")).verifyComplete();
}

Example 3 with JobRuntimePredictions

use of com.netflix.titus.runtime.connector.prediction.JobRuntimePredictions in project titus-control-plane by Netflix.

the class JobRuntimePredictionSanitizerTest method setup.

@Before
public void setup() {
    jobDescriptor = JobDescriptorGenerator.oneTaskBatchJobDescriptor();
    modelId = UUID.randomUUID().toString();
    config = mock(JobRuntimePredictionConfiguration.class);
    when(config.getMaxOpportunisticRuntimeLimitMs()).thenReturn(300_000L);
    client = mock(JobRuntimePredictionClient.class);
    JobRuntimePredictions predictions = new JobRuntimePredictions("v1", modelId, new TreeSet<>(Arrays.asList(new JobRuntimePrediction(0.05, 5.5), new JobRuntimePrediction(0.25, 6.0), new JobRuntimePrediction(0.90, 20.1))));
    when(client.getRuntimePredictions(jobDescriptor)).thenReturn(Mono.just(predictions));
}

Example 4 with JobRuntimePredictions

use of com.netflix.titus.runtime.connector.prediction.JobRuntimePredictions in project titus-control-plane by Netflix.

the class JobRuntimePredictionSanitizerTest method emptyPredictionsCauseFallbackToRuntimeLimit.

@Test
public void emptyPredictionsCauseFallbackToRuntimeLimit() {
    JobRuntimePredictionClient client = mock(JobRuntimePredictionClient.class);
    JobRuntimePredictions predictions = new JobRuntimePredictions("v1", modelId, new TreeSet<>());
    when(client.getRuntimePredictions(any())).thenReturn(Mono.just(predictions));
    AdmissionSanitizer<JobDescriptor> sanitizer = new JobRuntimePredictionSanitizer(client, JobRuntimePredictionSelectors.best(), config, TitusRuntimes.test());
    StepVerifier.create(sanitizer.sanitizeAndApply(jobDescriptor)).assertNext(result -> assertThat(((JobDescriptor<?>) result).getAttributes()).containsEntry(JOB_ATTRIBUTES_RUNTIME_PREDICTION_CONFIDENCE, "1.0").containsEntry(JOB_ATTRIBUTES_RUNTIME_PREDICTION_SEC, "60.0").containsEntry(JOB_ATTRIBUTES_SANITIZATION_SKIPPED_RUNTIME_PREDICTION, "true").containsEntry(JOB_ATTRIBUTES_RUNTIME_PREDICTION_MODEL_ID, modelId).containsEntry(JOB_ATTRIBUTES_RUNTIME_PREDICTION_VERSION, "v1").doesNotContainKeys(JOB_ATTRIBUTES_RUNTIME_PREDICTION_AVAILABLE)).verifyComplete();
}

Example 5 with JobRuntimePredictions

use of com.netflix.titus.runtime.connector.prediction.JobRuntimePredictions in project titus-control-plane by Netflix.

the class JobRuntimePredictionSanitizerTest method zeroedPredictionsCauseSanitizationToBeSkipped.

@Test
public void zeroedPredictionsCauseSanitizationToBeSkipped() {
    JobRuntimePredictionClient client = mock(JobRuntimePredictionClient.class);
    JobRuntimePredictions predictions = new JobRuntimePredictions("v1", modelId, new TreeSet<>(Arrays.asList(new JobRuntimePrediction(0.05, 0.0), new JobRuntimePrediction(0.25, 6.0), new JobRuntimePrediction(0.90, 21.2))));
    when(client.getRuntimePredictions(any())).thenReturn(Mono.just(predictions));
    AdmissionSanitizer<JobDescriptor> sanitizer = new JobRuntimePredictionSanitizer(client, JobRuntimePredictionSelectors.best(), config, TitusRuntimes.test());
    StepVerifier.create(sanitizer.sanitizeAndApply(jobDescriptor)).assertNext(result -> assertThat(((JobDescriptor<?>) result).getAttributes()).containsEntry(JOB_ATTRIBUTES_SANITIZATION_SKIPPED_RUNTIME_PREDICTION, "true").containsEntry(JOB_ATTRIBUTES_RUNTIME_PREDICTION_MODEL_ID, modelId).containsEntry(JOB_ATTRIBUTES_RUNTIME_PREDICTION_VERSION, "v1").containsEntry(JOB_ATTRIBUTES_RUNTIME_PREDICTION_AVAILABLE, "0.05=0.0;0.25=6.0;0.9=21.2")).verifyComplete();
}