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/*
* 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);
}
}