feat(samples): add additional samples to library (#25)

* Add samples

* Fix linter errors

* Remove unnecessary samples and tests

* Fix minor linter error

* Remove unnecessary comments and other small updates

* Update project id

* Add samples

* Fix linter errors

* Remove unnecessary samples and tests

* Fix minor linter error

* Remove unnecessary comments and other small updates

* Update project id

* Remove terminal await calls

* Fix configuration issues

* Fix parsing error

* Update samples/package.json

* Update samples/predict-custom-trained-model.js

* Fix async file access for Node 10

* Ensmallify the example image

Co-authored-by: Eric Schmidt <erschmid@google.com>
Co-authored-by: Benjamin E. Coe <bencoe@google.com>

ai-platform/snippets/cancel-batch-prediction-job.js

@@ -0,0 +1,62 @@
+/*
+ * 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
+ *
+ *     https://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.
+ */
+
+'use strict';
+
+async function main(batchPredictionJobId, project, location = 'us-central1') {
+  // [START aiplatform_cancel_batch_prediction_job]
+  /**
+   * TODO(developer): Uncomment these variables before running the sample.\
+   * (Not necessary if passing values as arguments)
+   */
+
+  // const batchPredictionJobId = 'YOUR_BATCH_PREDICTION_JOB_ID';
+  // const project = 'YOUR_PROJECT_ID';
+  // const location = 'YOUR_PROJECT_LOCATION';
+
+  // Imports the Google Cloud Job Service Client library
+  const {JobServiceClient} = require('@google-cloud/aiplatform');
+
+  // Specifies the location of the api endpoint
+  const clientOptions = {
+    apiEndpoint: 'us-central1-aiplatform.googleapis.com',
+  };
+
+  // Instantiates a client
+  const jobServiceClient = new JobServiceClient(clientOptions);
+
+  async function cancelBatchPredictionJob() {
+    // Configure the name resource
+    const name = `projects/${project}/locations/${location}/batchPredictionJobs/${batchPredictionJobId}`;
+    const request = {
+      name,
+    };
+
+    // Cancel batch prediction job request
+    await jobServiceClient.cancelBatchPredictionJob(request);
+    console.log('Cancel batch prediction job response :');
+  }
+
+  cancelBatchPredictionJob();
+  // [END aiplatform_cancel_batch_prediction_job]
+}
+
+process.on('unhandledRejection', err => {
+  console.error(err.message);
+  process.exitCode = 1;
+});
+
+main(...process.argv.slice(2));

ai-platform/snippets/cancel-custom-job.js

@@ -0,0 +1,62 @@
+/*
+ * 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
+ *
+ *     https://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.
+ */
+
+'use strict';
+
+async function main(customJobId, project, location = 'us-central1') {
+  // [START aiplatform_cancel_custom_job]
+  /**
+   * TODO(developer): Uncomment these variables before running the sample.\
+   */
+
+  // const customJobId = 'YOUR_CUSTOM_JOB_ID';
+  // const project = 'YOUR_PROJECT_ID';
+  // const location = 'YOUR_PROJECT_LOCATION';
+
+  // Imports the Google Cloud Job Service Client library
+  const {JobServiceClient} = require('@google-cloud/aiplatform');
+
+  // Specifies the location of the api endpoint
+  const clientOptions = {
+    apiEndpoint: 'us-central1-aiplatform.googleapis.com',
+  };
+
+  // Instantiates a client
+  const jobServiceClient = new JobServiceClient(clientOptions);
+
+  async function cancelCustomJob() {
+    // Configure the name resource
+    const name = jobServiceClient.customJobPath(project, location, customJobId);
+    const request = {
+      name,
+    };
+
+    // Cancel custom job request
+    const [response] = await jobServiceClient.cancelCustomJob(request);
+
+    console.log('Cancel custom job response');
+    console.log(`${response}`);
+  }
+  cancelCustomJob();
+  // [END aiplatform_cancel_custom_job]
+}
+
+process.on('unhandledRejection', err => {
+  console.error(err.message);
+  process.exitCode = 1;
+});
+
+main(...process.argv.slice(2));

ai-platform/snippets/create-custom-job.js

@@ -0,0 +1,87 @@
+/*
+ * 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
+ *
+ *     https://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.
+ */
+
+'use strict';
+
+async function main(
+  customJobDisplayName,
+  containerImageUri,
+  project,
+  location = 'us-central1'
+) {
+  // [START aiplatform_create_custom_job]
+  /**
+   * TODO(developer): Uncomment these variables before running the sample.\
+   * (Not necessary if passing values as arguments)
+   */
+
+  // const customJobDisplayName = 'YOUR_CUSTOM_JOB_DISPLAY_NAME';
+  // const containerImageUri = 'YOUR_CONTAINER_IMAGE_URI';
+  // const project = 'YOUR_PROJECT_ID';
+  // const location = 'YOUR_PROJECT_LOCATION';
+
+  // Imports the Google Cloud Job Service Client library
+  const {JobServiceClient} = require('@google-cloud/aiplatform');
+
+  // Specifies the location of the api endpoint
+  const clientOptions = {
+    apiEndpoint: 'us-central1-aiplatform.googleapis.com',
+  };
+
+  // Instantiates a client
+  const jobServiceClient = new JobServiceClient(clientOptions);
+
+  async function createCustomJob() {
+    // Configure the parent resource
+    const parent = `projects/${project}/locations/${location}`;
+    const customJob = {
+      displayName: customJobDisplayName,
+      jobSpec: {
+        workerPoolSpecs: [
+          {
+            machineSpec: {
+              machineType: 'n1-standard-4',
+              acceleratorType: 'NVIDIA_TESLA_K80',
+              acceleratorCount: 1,
+            },
+            replicaCount: 1,
+            containerSpec: {
+              imageUri: containerImageUri,
+              command: [],
+              args: [],
+            },
+          },
+        ],
+      },
+    };
+    const request = {parent, customJob};
+
+    // Create custom job request
+    const [response] = await jobServiceClient.createCustomJob(request);
+
+    console.log('Create custom job response');
+    console.log(`${JSON.stringify(response)}`);
+  }
+  createCustomJob();
+  // [END aiplatform_create_custom_job]
+}
+
+process.on('unhandledRejection', err => {
+  console.error(err.message);
+  process.exitCode = 1;
+});
+
+main(...process.argv.slice(2));

ai-platform/snippets/create-dataset-image.js

@@ -0,0 +1,79 @@
+/*
+ * 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
+ *
+ *     https://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.
+ */
+
+'use strict';
+
+async function main(datasetDisplayName, project, location = 'us-central1') {
+  // [START aiplatform_create_dataset_image]
+  /**
+   * TODO(developer): Uncomment these variables before running the sample.\
+   * (Not necessary if passing values as arguments)
+   */
+
+  // const datasetDisplayName = "YOUR_DATASTE_DISPLAY_NAME";
+  // const project = 'YOUR_PROJECT_ID';
+  // const location = 'YOUR_PROJECT_LOCATION';
+
+  // Imports the Google Cloud Dataset Service Client library
+  const {DatasetServiceClient} = require('@google-cloud/aiplatform');
+
+  // Specifies the location of the api endpoint
+  const clientOptions = {
+    apiEndpoint: 'us-central1-aiplatform.googleapis.com',
+  };
+
+  // Instantiates a client
+  const datasetServiceClient = new DatasetServiceClient(clientOptions);
+
+  async function createDatasetImage() {
+    // Configure the parent resource
+    const parent = `projects/${project}/locations/${location}`;
+    // Configure the dataset resource
+    const dataset = {
+      displayName: datasetDisplayName,
+      metadataSchemaUri:
+        'gs://google-cloud-aiplatform/schema/dataset/metadata/image_1.0.0.yaml',
+    };
+    const request = {
+      parent,
+      dataset,
+    };
+
+    // Create Dataset Request
+    const [response] = await datasetServiceClient.createDataset(request);
+    console.log(`Long running operation: ${response.name}`);
+
+    // Wait for operation to complete
+    await response.promise();
+    const result = response.result;
+
+    console.log('Create dataset image response');
+    console.log(`Name : ${result.name}`);
+    console.log(`Display name : ${result.displayName}`);
+    console.log(`Metadata schema uri : ${result.metadataSchemaUri}`);
+    console.log(`Metadata : ${JSON.stringify(result.metadata)}`);
+    console.log(`Labels : ${JSON.stringify(result.labels)}`);
+  }
+  createDatasetImage();
+  // [END aiplatform_create_dataset_image]
+}
+
+process.on('unhandledRejection', err => {
+  console.error(err.message);
+  process.exitCode = 1;
+});
+
+main(...process.argv.slice(2));