samples: migrate samples from GoogleCloudPlatform/java-docs-samples /…

…vision/automl (#261) * samples: Automl (#1158) * Test push * Vision AutoML * Vision AutoML updates + Translate AutoML * Translate README fixes * Fixing Kokoro failure issue * Language AutoML * Vision AutoML * Translate AutoML files added * Triggering tests * Triggering tests * samples: Automl (#1162) * Test push * Vision AutoML * Vision AutoML updates + Translate AutoML * Translate README fixes * Fixing Kokoro failure issue * Language AutoML * Vision AutoML * Translate AutoML files added * Triggering tests * Triggering tests * Updates based on comments * Updates after review comments * Fixed build issue * samples: Clean up the code and fix the sample tests (#1463) * samples: Prevent Name collisions on tests (#1466) * samples: fix misspelling reported by user (#1451) * samples: Auto-update dependencies. (#1467) * Auto-update dependencies. * Rollback * Auto-update dependencies. * Fix merge errors * Rollback * Fix tests * Fix test * samples: Add new sample for deploying a model with a node count (#1601) * samples: Add missing samples for classification and rename object detection sa… (#1604) * Add missing samples for classification and rename object detection sample to add clarification * Update test function names * samples: automl: fix old beta snippet tests (#1994) * samples: docs: update tests that are failing or not cleaning up resources * samples: update shared config (#2443) * update shared config * Update to 1.0.13 * lint * Fix linting * lint * fix imports Co-authored-by: Les Vogel <lesv@users.noreply.github.com> * samples: bug: fix importData sample in order to bump libraries-bom version (#3011) Fixes #2943 * samples: automl: remove vision samples no longer on cgc (#2844) - [ x] `pom.xml` parent set to latest `shared-configuration` - [ in progress] Appropriate changes to README are included in PR - [ ] API's need to be enabled to test (tell us) - [ ] Environment Variables need to be set (ask us to set them) - [see below] Tests pass (`mvn -P lint clean verify`) - [x ] Please **merge** this PR for me once it is approved. Need to take a look still at modelApi tests (it looks like the entire file is obviated, but could be refactored to test model creation?) Could use a second set of eyes here. * samples: samples: increased wait time for undeployed model prediction (#3286) * samples: increased wait time for undeployed model prediction * fixed the lint issue Co-authored-by: Nirupa Anantha Kumar <nirupa-kumar@users.noreply.github.com> Co-authored-by: Noah Negrey <nnegrey@users.noreply.github.com> Co-authored-by: Andrew Ferlitsch <aferlitsch@gmail.com> Co-authored-by: DPEBot <dpebot@google.com> Co-authored-by: nnegrey <nnegrey@google.com> Co-authored-by: Averi Kitsch <akitsch@google.com> Co-authored-by: Les Vogel <lesv@users.noreply.github.com> Co-authored-by: Stephanie Wang <stephaniewang526@users.noreply.github.com> Co-authored-by: Anthony <wens.ajw@gmail.com> Co-authored-by: Mike <45373284+munkhuushmgl@users.noreply.github.com>
GoogleCloudPlatform · Nov 18, 2022 · 1c58f75 · 1c58f75
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diff --git a/...ppets/src/main/java/com/google/cloud/vision/samples/automl/ClassificationDeployModel.java b/...ppets/src/main/java/com/google/cloud/vision/samples/automl/ClassificationDeployModel.java
@@ -0,0 +1,60 @@
+/*
+ * Copyright 2019 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.google.cloud.vision.samples.automl;
+
+// [START automl_vision_classification_deploy_model]
+import com.google.api.gax.longrunning.OperationFuture;
+import com.google.cloud.automl.v1beta1.AutoMlClient;
+import com.google.cloud.automl.v1beta1.DeployModelRequest;
+import com.google.cloud.automl.v1beta1.ModelName;
+import com.google.cloud.automl.v1beta1.OperationMetadata;
+import com.google.protobuf.Empty;
+import java.io.IOException;
+import java.util.concurrent.ExecutionException;
+
+class ClassificationDeployModel {
+
+  // Deploy a model
+  static void classificationDeployModel(String projectId, String modelId)
+      throws IOException, ExecutionException, InterruptedException {
+    // String projectId = "YOUR_PROJECT_ID";
+    // String modelId = "YOUR_MODEL_ID";
+
+    // Initialize client that will be used to send requests. This client only needs to be created
+    // once, and can be reused for multiple requests. After completing all of your requests, call
+    // the "close" method on the client to safely clean up any remaining background resources.
+    try (AutoMlClient client = AutoMlClient.create()) {
+
+      // Get the full path of the model.
+      ModelName modelFullId = ModelName.of(projectId, "us-central1", modelId);
+
+      // Build deploy model request.
+      DeployModelRequest deployModelRequest =
+          DeployModelRequest.newBuilder().setName(modelFullId.toString()).build();
+
+      // Deploy a model with the deploy model request.
+      OperationFuture<Empty, OperationMetadata> future =
+          client.deployModelAsync(deployModelRequest);
+
+      future.get();
+
+      // Display the deployment details of model.
+      System.out.println("Model deployment finished");
+    }
+  }
+}
+// [END automl_vision_classification_deploy_model]
diff --git a/.../main/java/com/google/cloud/vision/samples/automl/ClassificationDeployModelNodeCount.java b/.../main/java/com/google/cloud/vision/samples/automl/ClassificationDeployModelNodeCount.java
@@ -0,0 +1,61 @@
+/*
+ * Copyright 2019 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.google.cloud.vision.samples.automl;
+
+// [START automl_vision_classification_deploy_model_node_count]
+import com.google.api.gax.longrunning.OperationFuture;
+import com.google.cloud.automl.v1beta1.AutoMlClient;
+import com.google.cloud.automl.v1beta1.DeployModelRequest;
+import com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata;
+import com.google.cloud.automl.v1beta1.ModelName;
+import com.google.cloud.automl.v1beta1.OperationMetadata;
+import com.google.protobuf.Empty;
+import java.io.IOException;
+import java.util.concurrent.ExecutionException;
+
+class ClassificationDeployModelNodeCount {
+
+  // Deploy a model with a specified node count
+  static void classificationDeployModelNodeCount(String projectId, String modelId)
+      throws IOException, ExecutionException, InterruptedException {
+    // String projectId = "YOUR_PROJECT_ID";
+    // String modelId = "YOUR_MODEL_ID";
+
+    // Initialize client that will be used to send requests. This client only needs to be created
+    // once, and can be reused for multiple requests. After completing all of your requests, call
+    // the "close" method on the client to safely clean up any remaining background resources.
+    try (AutoMlClient client = AutoMlClient.create()) {
+      // Get the full path of the model.
+      ModelName modelFullId = ModelName.of(projectId, "us-central1", modelId);
+
+      // Set how many nodes the model is deployed on
+      ImageClassificationModelDeploymentMetadata deploymentMetadata =
+          ImageClassificationModelDeploymentMetadata.newBuilder().setNodeCount(2).build();
+
+      DeployModelRequest request =
+          DeployModelRequest.newBuilder()
+              .setName(modelFullId.toString())
+              .setImageClassificationModelDeploymentMetadata(deploymentMetadata)
+              .build();
+      // Deploy the model
+      OperationFuture<Empty, OperationMetadata> future = client.deployModelAsync(request);
+      future.get();
+      System.out.println("Model deployment on 2 nodes finished");
+    }
+  }
+}
+// [END automl_vision_classification_deploy_model_node_count]
diff --git a/...ets/src/main/java/com/google/cloud/vision/samples/automl/ClassificationUndeployModel.java b/...ets/src/main/java/com/google/cloud/vision/samples/automl/ClassificationUndeployModel.java
@@ -0,0 +1,60 @@
+/*
+ * Copyright 2019 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.google.cloud.vision.samples.automl;
+
+// [START automl_vision_classification_undeploy_model]
+import com.google.api.gax.longrunning.OperationFuture;
+import com.google.cloud.automl.v1beta1.AutoMlClient;
+import com.google.cloud.automl.v1beta1.ModelName;
+import com.google.cloud.automl.v1beta1.OperationMetadata;
+import com.google.cloud.automl.v1beta1.UndeployModelRequest;
+import com.google.protobuf.Empty;
+import java.io.IOException;
+import java.util.concurrent.ExecutionException;
+
+class ClassificationUndeployModel {
+
+  // Deploy a model
+  static void classificationUndeployModel(String projectId, String modelId)
+      throws IOException, ExecutionException, InterruptedException {
+    // String projectId = "YOUR_PROJECT_ID";
+    // String modelId = "YOUR_MODEL_ID";
+
+    // Initialize client that will be used to send requests. This client only needs to be created
+    // once, and can be reused for multiple requests. After completing all of your requests, call
+    // the "close" method on the client to safely clean up any remaining background resources.
+    try (AutoMlClient client = AutoMlClient.create()) {
+
+      // Get the full path of the model.
+      ModelName modelFullId = ModelName.of(projectId, "us-central1", modelId);
+
+      // Build deploy model request.
+      UndeployModelRequest undeployModelRequest =
+          UndeployModelRequest.newBuilder().setName(modelFullId.toString()).build();
+
+      // Deploy a model with the deploy model request.
+      OperationFuture<Empty, OperationMetadata> future =
+          client.undeployModelAsync(undeployModelRequest);
+
+      future.get();
+
+      // Display the deployment details of model.
+      System.out.println("Model undeploy finished");
+    }
+  }
+}
+// [END automl_vision_classification_undeploy_model]
diff --git a/automl/snippets/src/main/java/com/google/cloud/vision/samples/automl/ModelApi.java b/automl/snippets/src/main/java/com/google/cloud/vision/samples/automl/ModelApi.java
@@ -0,0 +1,143 @@
+/*
+ * Copyright 2018 Google Inc.
+ *
+ * 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.google.cloud.vision.samples.automl;
+
+// Imports the Google Cloud client library
+import com.google.api.gax.longrunning.OperationFuture;
+import com.google.cloud.automl.v1beta1.AutoMlClient;
+import com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics;
+import com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry;
+import com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata;
+import com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest;
+import com.google.cloud.automl.v1beta1.ListModelsRequest;
+import com.google.cloud.automl.v1beta1.LocationName;
+import com.google.cloud.automl.v1beta1.Model;
+import com.google.cloud.automl.v1beta1.ModelEvaluation;
+import com.google.cloud.automl.v1beta1.ModelEvaluationName;
+import com.google.cloud.automl.v1beta1.ModelName;
+import com.google.cloud.automl.v1beta1.OperationMetadata;
+import com.google.longrunning.Operation;
+import com.google.protobuf.Empty;
+import java.io.IOException;
+import java.util.List;
+import java.util.concurrent.ExecutionException;
+import net.sourceforge.argparse4j.ArgumentParsers;
+import net.sourceforge.argparse4j.inf.ArgumentParser;
+import net.sourceforge.argparse4j.inf.ArgumentParserException;
+import net.sourceforge.argparse4j.inf.Namespace;
+import net.sourceforge.argparse4j.inf.Subparser;
+import net.sourceforge.argparse4j.inf.Subparsers;
+
+/**
+ * Google Cloud AutoML Vision API sample application. Example usage: mvn package exec:java
+ * -Dexec.mainClass ='com.google.cloud.vision.samples.automl.ModelApi' -Dexec.args='create_model
+ * [datasetId] test_model'
+ */
+public class ModelApi {
+
+  // [START automl_vision_create_model]
+  /**
+   * Demonstrates using the AutoML client to create a model.
+   *
+   * @param projectId the Id of the project.
+   * @param computeRegion the Region name.
+   * @param dataSetId the Id of the dataset to which model is created.
+   * @param modelName the Name of the model.
+   * @param trainBudget the Budget for training the model.
+   */
+  static void createModel(
+      String projectId,
+      String computeRegion,
+      String dataSetId,
+      String modelName,
+      String trainBudget) {
+    // Instantiates a client
+    try (AutoMlClient client = AutoMlClient.create()) {
+
+      // A resource that represents Google Cloud Platform location.
+      LocationName projectLocation = LocationName.of(projectId, computeRegion);
+
+      // Set model metadata.
+      ImageClassificationModelMetadata imageClassificationModelMetadata =
+          Long.valueOf(trainBudget) == 0
+              ? ImageClassificationModelMetadata.newBuilder().build()
+              : ImageClassificationModelMetadata.newBuilder()
+                  .setTrainBudget(Long.valueOf(trainBudget))
+                  .build();
+
+      // Set model name and model metadata for the image dataset.
+      Model myModel =
+          Model.newBuilder()
+              .setDisplayName(modelName)
+              .setDatasetId(dataSetId)
+              .setImageClassificationModelMetadata(imageClassificationModelMetadata)
+              .build();
+
+      // Create a model with the model metadata in the region.
+      OperationFuture<Model, OperationMetadata> response =
+          client.createModelAsync(projectLocation, myModel);
+
+      System.out.println(
+          String.format(
+              "Training operation name: %s", response.getInitialFuture().get().getName()));
+      System.out.println("Training started...");
+    } catch (IOException | ExecutionException | InterruptedException e) {
+      e.printStackTrace();
+    }
+  }
+  // [END automl_vision_create_model]
+
+  public static void main(String[] args) {
+    argsHelper(args);
+  }
+
+  static void argsHelper(String[] args) {
+    ArgumentParser parser =
+        ArgumentParsers.newFor("ModelApi")
+            .build()
+            .defaultHelp(true)
+            .description("Model API operations.");
+    Subparsers subparsers = parser.addSubparsers().dest("command");
+
+    Subparser createModelParser = subparsers.addParser("create_model");
+    createModelParser.addArgument("datasetId");
+    createModelParser.addArgument("modelName");
+    createModelParser.addArgument("trainBudget");
+
+    String projectId = System.getenv("GOOGLE_CLOUD_PROJECT");
+    String computeRegion = System.getenv("REGION_NAME");
+
+    if (projectId == null || computeRegion == null) {
+      System.out.println("Set `GOOGLE_CLOUD_PROJECT` and `REGION_NAME` as specified in the README");
+      System.exit(-1);
+    }
+
+    try {
+      Namespace ns = parser.parseArgs(args);
+      if (ns.get("command").equals("create_model")) {
+        createModel(
+            projectId,
+            computeRegion,
+            ns.getString("datasetId"),
+            ns.getString("modelName"),
+            ns.getString("trainBudget"));
+      }
+    } catch (ArgumentParserException e) {
+      parser.handleError(e);
+    }
+  }
+}
diff --git a/...main/java/com/google/cloud/vision/samples/automl/ObjectDetectionDeployModelNodeCount.java b/...main/java/com/google/cloud/vision/samples/automl/ObjectDetectionDeployModelNodeCount.java
@@ -0,0 +1,60 @@
+/*
+ * Copyright 2019 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.google.cloud.vision.samples.automl;
+
+// [START automl_vision_object_detection_deploy_model_node_count]
+import com.google.api.gax.longrunning.OperationFuture;
+import com.google.cloud.automl.v1beta1.AutoMlClient;
+import com.google.cloud.automl.v1beta1.DeployModelRequest;
+import com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata;
+import com.google.cloud.automl.v1beta1.ModelName;
+import com.google.cloud.automl.v1beta1.OperationMetadata;
+import com.google.protobuf.Empty;
+import java.io.IOException;
+import java.util.concurrent.ExecutionException;
+
+class ObjectDetectionDeployModelNodeCount {
+
+  static void objectDetectionDeployModelNodeCount(String projectId, String modelId)
+      throws IOException, ExecutionException, InterruptedException {
+    // String projectId = "YOUR_PROJECT_ID";
+    // String modelId = "YOUR_MODEL_ID";
+
+    // Initialize client that will be used to send requests. This client only needs to be created
+    // once, and can be reused for multiple requests. After completing all of your requests, call
+    // the "close" method on the client to safely clean up any remaining background resources.
+    try (AutoMlClient client = AutoMlClient.create()) {
+      // Get the full path of the model.
+      ModelName modelFullId = ModelName.of(projectId, "us-central1", modelId);
+
+      // Set how many nodes the model is deployed on
+      ImageObjectDetectionModelDeploymentMetadata deploymentMetadata =
+          ImageObjectDetectionModelDeploymentMetadata.newBuilder().setNodeCount(2).build();
+
+      DeployModelRequest request =
+          DeployModelRequest.newBuilder()
+              .setName(modelFullId.toString())
+              .setImageObjectDetectionModelDeploymentMetadata(deploymentMetadata)
+              .build();
+      // Deploy the model
+      OperationFuture<Empty, OperationMetadata> future = client.deployModelAsync(request);
+      future.get();
+      System.out.println("Model deployment on 2 nodes finished");
+    }
+  }
+}
+// [END automl_vision_object_detection_deploy_model_node_count]