content: /*
   * Licensed to the Apache Software Foundation (ASF) under one
   * or more contributor license agreements.  See the NOTICE file
   * distributed with this work for additional information
   * regarding copyright ownership.  The ASF licenses this file
   * to you 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 org.apache.beam.examples.webapis;
  
  import java.util.List;
  import org.apache.beam.sdk.Pipeline;
  import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.collect.ImmutableList;
  import org.junit.Test;
  import org.junit.runner.RunWith;
  import org.junit.runners.JUnit4;
  
  /** Tests for {@link UsingHttpClientExample}. */
  @RunWith(JUnit4.class)
  public class UsingHttpClientExampleTest {
    @Test
    public void testReadFromGetEndpointExample() {
      Pipeline pipeline = Pipeline.create();
  
      List<String> urls =
          ImmutableList.of(
              "https://storage.googleapis.com/generativeai-downloads/images/cake.jpg",
              "https://storage.googleapis.com/generativeai-downloads/images/chocolate.png",
              "https://storage.googleapis.com/generativeai-downloads/images/croissant.jpg",
              "https://storage.googleapis.com/generativeai-downloads/images/dog_form.jpg",
              "https://storage.googleapis.com/generativeai-downloads/images/factory.png",
              "https://storage.googleapis.com/generativeai-downloads/images/scones.jpg");
      UsingHttpClientExample.readFromGetEndpointExample(urls, pipeline);
  
      pipeline.run();
    }
  }
  