| /* |
| * Copyright (C) 2017 The Android Open Source Project |
| * |
| * Licensed under the Apache License, Version 2.0 (the "License"); |
| * you may not use this file except in compliance with the License. |
| * You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License |
| */ |
| |
| package com.android.settings.dashboard.suggestions; |
| |
| import java.util.Arrays; |
| import java.util.Map; |
| |
| import com.android.settings.testutils.SettingsRobolectricTestRunner; |
| import com.android.settings.TestConfig; |
| |
| import org.junit.Before; |
| import org.junit.Test; |
| import org.junit.runner.RunWith; |
| import org.robolectric.annotation.Config; |
| |
| import static com.google.common.truth.Truth.assertThat; |
| |
| import org.robolectric.RuntimeEnvironment; |
| |
| @RunWith(SettingsRobolectricTestRunner.class) |
| @Config(manifest = TestConfig.MANIFEST_PATH, sdk = TestConfig.SDK_VERSION) |
| public class SuggestionFeaturizerTest { |
| |
| private EventStore mEventStore; |
| private SuggestionFeaturizer mSuggestionFeaturizer; |
| |
| @Before |
| public void setUp() { |
| mEventStore = new EventStore(RuntimeEnvironment.application); |
| mSuggestionFeaturizer = new SuggestionFeaturizer(mEventStore); |
| } |
| |
| @Test |
| public void testFeaturize_singlePackage() { |
| mEventStore.writeEvent("pkg", EventStore.EVENT_DISMISSED); |
| mEventStore.writeEvent("pkg", EventStore.EVENT_SHOWN); |
| mEventStore.writeEvent("pkg", EventStore.EVENT_SHOWN); |
| Map<String, Double> features = mSuggestionFeaturizer.featurize(Arrays.asList("pkg")) |
| .get("pkg"); |
| assertThat(features.get(SuggestionFeaturizer.FEATURE_IS_SHOWN)).isEqualTo(1.0); |
| assertThat(features.get(SuggestionFeaturizer.FEATURE_IS_DISMISSED)).isEqualTo(1.0); |
| assertThat(features.get(SuggestionFeaturizer.FEATURE_IS_CLICKED)).isEqualTo(0.0); |
| |
| assertThat(features.get(SuggestionFeaturizer.FEATURE_TIME_FROM_LAST_SHOWN)).isLessThan(1.0); |
| assertThat(features.get(SuggestionFeaturizer.FEATURE_TIME_FROM_LAST_DISMISSED)) |
| .isLessThan(1.0); |
| assertThat(features.get(SuggestionFeaturizer.FEATURE_TIME_FROM_LAST_CLICKED)) |
| .isEqualTo(1.0); |
| assertThat(features.get(SuggestionFeaturizer.FEATURE_SHOWN_COUNT)) |
| .isEqualTo(2.0 / SuggestionFeaturizer.COUNT_NORMALIZATION_FACTOR); |
| assertThat(features.get(SuggestionFeaturizer.FEATURE_DISMISSED_COUNT)) |
| .isEqualTo(1.0 / SuggestionFeaturizer.COUNT_NORMALIZATION_FACTOR); |
| assertThat(features.get(SuggestionFeaturizer.FEATURE_CLICKED_COUNT)).isEqualTo(0.0); |
| } |
| |
| @Test |
| public void testFeaturize_multiplePackages() { |
| mEventStore.writeEvent("pkg1", EventStore.EVENT_DISMISSED); |
| mEventStore.writeEvent("pkg2", EventStore.EVENT_SHOWN); |
| mEventStore.writeEvent("pkg1", EventStore.EVENT_SHOWN); |
| Map<String, Map<String, Double>> features = mSuggestionFeaturizer |
| .featurize(Arrays.asList("pkg1", "pkg2")); |
| Map<String, Double> features1 = features.get("pkg1"); |
| Map<String, Double> features2 = features.get("pkg2"); |
| |
| assertThat(features1.get(SuggestionFeaturizer.FEATURE_IS_SHOWN)).isEqualTo(1.0); |
| assertThat(features1.get(SuggestionFeaturizer.FEATURE_IS_DISMISSED)).isEqualTo(1.0); |
| assertThat(features1.get(SuggestionFeaturizer.FEATURE_IS_CLICKED)).isEqualTo(0.0); |
| assertThat(features1.get(SuggestionFeaturizer.FEATURE_TIME_FROM_LAST_SHOWN)) |
| .isLessThan(1.0); |
| assertThat(features1.get(SuggestionFeaturizer.FEATURE_TIME_FROM_LAST_DISMISSED)) |
| .isLessThan(1.0); |
| assertThat(features1.get(SuggestionFeaturizer.FEATURE_TIME_FROM_LAST_CLICKED)) |
| .isEqualTo(1.0); |
| assertThat(features1.get(SuggestionFeaturizer.FEATURE_SHOWN_COUNT)) |
| .isEqualTo(1.0 / SuggestionFeaturizer.COUNT_NORMALIZATION_FACTOR); |
| assertThat(features1.get(SuggestionFeaturizer.FEATURE_DISMISSED_COUNT)) |
| .isEqualTo(1.0 / SuggestionFeaturizer.COUNT_NORMALIZATION_FACTOR); |
| assertThat(features1.get(SuggestionFeaturizer.FEATURE_CLICKED_COUNT)).isEqualTo(0.0); |
| |
| assertThat(features2.get(SuggestionFeaturizer.FEATURE_IS_SHOWN)).isEqualTo(1.0); |
| assertThat(features2.get(SuggestionFeaturizer.FEATURE_IS_DISMISSED)).isEqualTo(0.0); |
| assertThat(features2.get(SuggestionFeaturizer.FEATURE_IS_CLICKED)).isEqualTo(0.0); |
| assertThat(features2.get(SuggestionFeaturizer.FEATURE_TIME_FROM_LAST_SHOWN)) |
| .isLessThan(1.0); |
| assertThat(features2.get(SuggestionFeaturizer.FEATURE_TIME_FROM_LAST_DISMISSED)) |
| .isEqualTo(1.0); |
| assertThat(features2.get(SuggestionFeaturizer.FEATURE_TIME_FROM_LAST_CLICKED)) |
| .isEqualTo(1.0); |
| assertThat(features2.get(SuggestionFeaturizer.FEATURE_SHOWN_COUNT)) |
| .isEqualTo(1.0 / SuggestionFeaturizer.COUNT_NORMALIZATION_FACTOR); |
| assertThat(features2.get(SuggestionFeaturizer.FEATURE_DISMISSED_COUNT)).isEqualTo(0.0); |
| assertThat(features2.get(SuggestionFeaturizer.FEATURE_CLICKED_COUNT)).isEqualTo(0.0); |
| } |
| } |