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TranslateCreateModelTest.java
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TranslateCreateModelTest.java
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/*
* Copyright 2020 Google LLC
*
* 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.example.automl;
import static com.google.common.truth.Truth.assertThat;
import static junit.framework.TestCase.assertNotNull;
import java.io.ByteArrayOutputStream;
import java.io.IOException;
import java.io.PrintStream;
import java.util.UUID;
import java.util.concurrent.ExecutionException;
import org.junit.After;
import org.junit.Before;
import org.junit.BeforeClass;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.JUnit4;
// Tests for Automl translation models.
@RunWith(JUnit4.class)
public class TranslateCreateModelTest {
private static final String PROJECT_ID = System.getenv("AUTOML_PROJECT_ID");
private static final String DATASET_ID = "TRL00000000000000000";
private ByteArrayOutputStream bout;
private PrintStream out;
private PrintStream originalPrintStream;
private static void requireEnvVar(String varName) {
assertNotNull(
System.getenv(varName),
"Environment variable '%s' is required to perform these tests.".format(varName));
}
@BeforeClass
public static void checkRequirements() {
requireEnvVar("GOOGLE_APPLICATION_CREDENTIALS");
requireEnvVar("AUTOML_PROJECT_ID");
}
@Before
public void setUp() {
bout = new ByteArrayOutputStream();
out = new PrintStream(bout);
originalPrintStream = System.out;
System.setOut(out);
}
@After
public void tearDown() {
System.setOut(originalPrintStream);
}
@Test
public void testTranslateCreateModel() {
// Create a model from a nonexistent dataset.
try {
// Create a random dataset name with a length of 32 characters (max allowed by AutoML)
// To prevent name collisions when running tests in multiple java versions at once.
// AutoML doesn't allow "-", but accepts "_"
String modelName =
String.format("test_%s", UUID.randomUUID().toString().replace("-", "_").substring(0, 26));
TranslateCreateModel.createModel(PROJECT_ID, DATASET_ID, modelName);
String got = bout.toString();
// After setting DATASET_ID, change line below to
// assertThat(got).contains("Training started...");
assertThat(got).contains("Dataset does not exist");
} catch (IOException | ExecutionException | InterruptedException e) {
// After setting DATASET_ID, change line below to
// assertThat(e.getMessage()).contains("Training started...");
assertThat(e.getMessage()).contains("Dataset does not exist");
}
}
}