feat!: drop node8 support, support for async iterators (#364)

BREAKING CHANGE: The library now supports Node.js v10+. The last version to support Node.js v8 is tagged legacy-8 on npm.

.eslintrc.json

@@ -0,0 +1,3 @@
+{
+  "extends": "./node_modules/gts"
+}

.github/workflows/ci.yaml

@@ -9,7 +9,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        node: [8, 10, 12, 13]
+        node: [10, 12, 13]
     steps:
       - uses: actions/checkout@v2
       - uses: actions/setup-node@v1

.prettierrc.js

@@ -0,0 +1,17 @@
+// 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.
+
+module.exports = {
+  ...require('gts/.prettierrc.json')
+}

package.json

@@ -5,7 +5,7 @@
   "license": "Apache-2.0",
   "author": "Google LLC",
   "engines": {
-    "node": ">=8.10.0"
+    "node": ">=10"
   },
   "repository": "googleapis/nodejs-automl",
   "main": "build/src/index.js",
@@ -42,30 +42,32 @@
     "prepare": "npm run compile"
   },
   "dependencies": {
-    "google-gax": "^1.14.2"
+    "google-gax": "^2.0.1"
   },
   "devDependencies": {
     "@types/mocha": "^7.0.2",
     "@types/node": "^13.7.7",
-    "gts": "^1.1.2",
-    "null-loader": "^3.0.0",
-    "pack-n-play": "^1.0.0-2",
-    "power-assert": "^1.6.1",
-    "ts-loader": "^6.2.1",
-    "typescript": "^3.7.0",
-    "webpack": "^4.42.0",
-    "webpack-cli": "^3.3.11",
+    "@types/sinon": "^9.0.0",
     "c8": "^7.1.0",
     "codecov": "^3.6.5",
     "eslint": "^6.8.0",
     "eslint-config-prettier": "^6.10.0",
     "eslint-plugin-node": "^11.0.0",
     "eslint-plugin-prettier": "^3.1.2",
+    "gts": "2.0.0-alpha.9",
     "jsdoc": "^3.6.3",
     "jsdoc-fresh": "^1.0.2",
     "jsdoc-region-tag": "^1.0.4",
     "linkinator": "^2.0.3",
     "mocha": "^7.1.0",
-    "prettier": "^1.19.1"
+    "null-loader": "^3.0.0",
+    "pack-n-play": "^1.0.0-2",
+    "power-assert": "^1.6.1",
+    "prettier": "^1.19.1",
+    "sinon": "^9.0.1",
+    "ts-loader": "^6.2.1",
+    "typescript": "^3.8.3",
+    "webpack": "^4.42.0",
+    "webpack-cli": "^3.3.11"
   }
 }

samples/batch_predict.js

@@ -32,7 +32,7 @@ function main(
   // const outputUri = 'gs://YOUR_BUCKET_ID/path_to_save_results/';
 
   // Imports the Google Cloud AutoML library
-  const {PredictionServiceClient} = require(`@google-cloud/automl`).v1;
+  const {PredictionServiceClient} = require('@google-cloud/automl').v1;
 
   // Instantiates a client
   const client = new PredictionServiceClient();
@@ -55,7 +55,7 @@ function main(
 
     const [operation] = await client.batchPredict(request);
 
-    console.log(`Waiting for operation to complete...`);
+    console.log('Waiting for operation to complete...');
     // Wait for operation to complete.
     const [response] = await operation.promise();
     console.log(

samples/beta/batch_predict.js

@@ -32,7 +32,7 @@ function main(
   // const outputUri = 'gs://YOUR_BUCKET_ID/path_to_save_results/';
 
   // Imports the Google Cloud AutoML library
-  const {PredictionServiceClient} = require(`@google-cloud/automl`).v1beta1;
+  const {PredictionServiceClient} = require('@google-cloud/automl').v1beta1;
 
   // Instantiates a client
   const client = new PredictionServiceClient();
@@ -55,7 +55,7 @@ function main(
 
     const [operation] = await client.batchPredict(request);
 
-    console.log(`Waiting for operation to complete...`);
+    console.log('Waiting for operation to complete...');
     // Wait for operation to complete.
     const [response] = await operation.promise();
     console.log(

samples/beta/delete-dataset.js

@@ -28,7 +28,7 @@ function main(
   // const datasetId = 'YOUR_DATASET_ID';
 
   // Imports the Google Cloud AutoML library
-  const {AutoMlClient} = require(`@google-cloud/automl`).v1beta1;
+  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;
 
   // Instantiates a client
   const client = new AutoMlClient();

samples/beta/delete-model.js

@@ -28,7 +28,7 @@ function main(
   // const modelId = 'YOUR_MODEL_ID';
 
   // Imports the Google Cloud AutoML library
-  const {AutoMlClient} = require(`@google-cloud/automl`).v1beta1;
+  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;
 
   // Instantiates a client
   const client = new AutoMlClient();

samples/beta/get-model-evaluation.js

@@ -31,7 +31,7 @@ function main(
   // const modelEvaluationId = 'YOUR_MODEL_EVALUATION_ID';
 
   // Imports the Google Cloud AutoML library
-  const {AutoMlClient} = require(`@google-cloud/automl`).v1beta1;
+  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;
 
   // Instantiates a client
   const client = new AutoMlClient();
@@ -52,7 +52,7 @@ function main(
     console.log(`Model evaluation name: ${response.name}`);
     console.log(`Model annotation spec id: ${response.annotationSpecId}`);
     console.log(`Model display name: ${response.displayName}`);
-    console.log(`Model create time`);
+    console.log('Model create time');
     console.log(`\tseconds ${response.createTime.seconds}`);
     console.log(`\tnanos ${response.createTime.nanos / 1e9}`);
     console.log(`Evaluation example count: ${response.evaluatedExampleCount}`);

samples/beta/get-model.js

@@ -28,7 +28,7 @@ function main(
   // const modelId = 'YOUR_MODEL_ID';
 
   // Imports the Google Cloud AutoML library
-  const {AutoMlClient} = require(`@google-cloud/automl`).v1beta1;
+  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;
 
   // Instantiates a client
   const client = new AutoMlClient();
@@ -48,7 +48,7 @@ function main(
       }`
     );
     console.log(`Model display name: ${response.displayName}`);
-    console.log(`Model create time`);
+    console.log('Model create time');
     console.log(`\tseconds ${response.createTime.seconds}`);
     console.log(`\tnanos ${response.createTime.nanos / 1e9}`);
     console.log(`Model deployment state: ${response.deploymentState}`);

samples/beta/get-operation-status.js

@@ -28,7 +28,7 @@ function main(
   // const operationId = 'YOUR_OPERATION_ID';
 
   // Imports the Google Cloud AutoML library
-  const {AutoMlClient} = require(`@google-cloud/automl`).v1beta1;
+  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;
 
   // Instantiates a client
   const client = new AutoMlClient();
@@ -42,7 +42,7 @@ function main(
     const [response] = await client.operationsClient.getOperation(request);
 
     console.log(`Name: ${response.name}`);
-    console.log(`Operation details:`);
+    console.log('Operation details:');
     console.log(response);
   }
 

samples/beta/import-dataset.js

@@ -30,7 +30,7 @@ function main(
   // const path = 'gs://BUCKET_ID/path_to_training_data.csv';
 
   // Imports the Google Cloud AutoML library
-  const {AutoMlClient} = require(`@google-cloud/automl`).v1beta1;
+  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;
 
   // Instantiates a client
   const client = new AutoMlClient();
@@ -47,7 +47,7 @@ function main(
     };
 
     // Import dataset
-    console.log(`Proccessing import`);
+    console.log('Proccessing import');
     const [operation] = await client.importData(request);
 
     // Wait for operation to complete.

samples/beta/list-datasets.js

@@ -24,7 +24,7 @@ function main(projectId = 'YOUR_PROJECT_ID', location = 'us-central1') {
   // const location = 'us-central1';
 
   // Imports the Google Cloud AutoML library
-  const {AutoMlClient} = require(`@google-cloud/automl`).v1beta1;
+  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;
 
   // Instantiates a client
   const client = new AutoMlClient();
@@ -38,7 +38,7 @@ function main(projectId = 'YOUR_PROJECT_ID', location = 'us-central1') {
 
     const [response] = await client.listDatasets(request);
 
-    console.log(`List of datasets:`);
+    console.log('List of datasets:');
     for (const dataset of response) {
       console.log(`Dataset name: ${dataset.name}`);
       console.log(
@@ -47,7 +47,7 @@ function main(projectId = 'YOUR_PROJECT_ID', location = 'us-central1') {
         }`
       );
       console.log(`Dataset display name: ${dataset.displayName}`);
-      console.log(`Dataset create time`);
+      console.log('Dataset create time');
       console.log(`\tseconds ${dataset.createTime.seconds}`);
       console.log(`\tnanos ${dataset.createTime.nanos / 1e9}`);
 

samples/beta/list-models.js

@@ -23,7 +23,7 @@ function main(projectId = 'YOUR_PROJECT_ID', location = 'us-central1') {
   // const location = 'us-central1';
 
   // Imports the Google Cloud AutoML library
-  const {AutoMlClient} = require(`@google-cloud/automl`).v1beta1;
+  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;
 
   // Instantiates a client
   const client = new AutoMlClient();
@@ -37,13 +37,13 @@ function main(projectId = 'YOUR_PROJECT_ID', location = 'us-central1') {
 
     const [response] = await client.listModels(request);
 
-    console.log(`List of models:`);
+    console.log('List of models:');
     for (const model of response) {
       console.log(`Model name: ${model.name}`);
       console.log(`
         Model id: ${model.name.split('/')[model.name.split('/').length - 1]}`);
       console.log(`Model display name: ${model.displayName}`);
-      console.log(`Model create time`);
+      console.log('Model create time');
       console.log(`\tseconds ${model.createTime.seconds}`);
       console.log(`\tnanos ${model.createTime.nanos / 1e9}`);
       console.log(`Model deployment state: ${model.deploymentState}`);

samples/beta/video-classification-create-dataset.js

@@ -28,7 +28,7 @@ function main(
   // const displayName = 'YOUR_DISPLAY_NAME';
 
   // Imports the Google Cloud AutoML library
-  const {AutoMlClient} = require(`@google-cloud/automl`).v1beta1;
+  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;
 
   // Instantiates a client
   const client = new AutoMlClient();

samples/beta/video-classification-create-model.js

@@ -30,7 +30,7 @@ function main(
   // const displayName = 'YOUR_DISPLAY_NAME';
 
   // Imports the Google Cloud AutoML library
-  const {AutoMlClient} = require(`@google-cloud/automl`).v1beta1;
+  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;
 
   // Instantiates a client
   const client = new AutoMlClient();

samples/beta/video-object-tracking-create-dataset.js

@@ -28,7 +28,7 @@ function main(
   // const displayName = 'YOUR_DISPLAY_NAME';
 
   // Imports the Google Cloud AutoML library
-  const {AutoMlClient} = require(`@google-cloud/automl`).v1beta1;
+  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;
 
   // Instantiates a client
   const client = new AutoMlClient();

samples/beta/video-object-tracking-create-model.js

@@ -30,7 +30,7 @@ function main(
   // const displayName = 'YOUR_DISPLAY_NAME';
 
   // Imports the Google Cloud AutoML library
-  const {AutoMlClient} = require(`@google-cloud/automl`).v1beta1;
+  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;
 
   // Instantiates a client
   const client = new AutoMlClient();

samples/delete_dataset.js

@@ -28,7 +28,7 @@ function main(
   // const datasetId = 'YOUR_DATASET_ID';
 
   // Imports the Google Cloud AutoML library
-  const {AutoMlClient} = require(`@google-cloud/automl`).v1;
+  const {AutoMlClient} = require('@google-cloud/automl').v1;
 
   // Instantiates a client
   const client = new AutoMlClient();

samples/delete_model.js

@@ -28,7 +28,7 @@ function main(
   // const modelId = 'YOUR_MODEL_ID';
 
   // Imports the Google Cloud AutoML library
-  const {AutoMlClient} = require(`@google-cloud/automl`).v1;
+  const {AutoMlClient} = require('@google-cloud/automl').v1;
 
   // Instantiates a client
   const client = new AutoMlClient();

samples/deploy_model.js

@@ -28,7 +28,7 @@ function main(
   // const modelId = 'YOUR_MODEL_ID';
 
   // Imports the Google Cloud AutoML library
-  const {AutoMlClient} = require(`@google-cloud/automl`).v1;
+  const {AutoMlClient} = require('@google-cloud/automl').v1;
 
   // Instantiates a client
   const client = new AutoMlClient();

samples/export_dataset.js

@@ -30,7 +30,7 @@ function main(
   // const gcsUri = 'gs://BUCKET_ID/path_to_export/';
 
   // Imports the Google Cloud AutoML library
-  const {AutoMlClient} = require(`@google-cloud/automl`).v1;
+  const {AutoMlClient} = require('@google-cloud/automl').v1;
 
   // Instantiates a client
   const client = new AutoMlClient();

samples/get_dataset.js

@@ -33,7 +33,7 @@ function main(
   // const datasetId = 'YOUR_DATASET_ID';
 
   // Imports the Google Cloud AutoML library
-  const {AutoMlClient} = require(`@google-cloud/automl`).v1;
+  const {AutoMlClient} = require('@google-cloud/automl').v1;
 
   // Instantiates a client
   const client = new AutoMlClient();
@@ -53,7 +53,7 @@ function main(
       }`
     );
     console.log(`Dataset display name: ${response.displayName}`);
-    console.log(`Dataset create time`);
+    console.log('Dataset create time');
     console.log(`\tseconds ${response.createTime.seconds}`);
     console.log(`\tnanos ${response.createTime.nanos / 1e9}`);
     // [END automl_language_sentiment_analysis_get_dataset]
@@ -80,7 +80,7 @@ function main(
 
     // [START automl_translate_get_dataset]
     if (response.translationDatasetMetadata !== undefined) {
-      console.log(`Translation dataset metadata:`);
+      console.log('Translation dataset metadata:');
       console.log(
         `\tSource language code: ${response.translationDatasetMetadata.sourceLanguageCode}`
       );