samples: disable automl create model tests becuase they have no teardown (#447)

* samples: disable automl create model tests becuase they have no teardown

* fixed lint

* removed teardowns

* removed teardown from translte

Author: munkhuushmgl

automl/test/automlTranslation.test.js

@@ -56,22 +56,12 @@ describe('Translate AutoML sample tests', () => {
     assert.match(output, /Dataset deleted/);
   });
 
-  it('should create model and cancel the training operation', async () => {
+  it.skip('should create model and cancel the training operation', async () => {
     // create a model with pre-existing dataset
-    let output = execSync(
+    const output = execSync(
       `${cmdModel} ${projectId} us-central1 ${datasetId} translate_test_model`
     );
     assert.match(output, /Training started../);
-    const operationFullId = output
-      .split('Training operation name:')[1]
-      .split('\n')[0]
-      .trim();
-
-    assert.include(output, operationFullId);
-
-    // cancel the training LRO.
-    output = execSync(`node beta/cancel_operation.js ${operationFullId}`);
-    assert.match(output, /Cancelled/);
   });
 
   it('should run Prediction from translation model', async () => {

automl/test/language_sentiment_analysis_create_model.test.js

@@ -15,7 +15,7 @@
 'use strict';
 
 const {assert} = require('chai');
-const {describe, it, after} = require('mocha');
+const {describe, it} = require('mocha');
 const {AutoMlClient} = require('@google-cloud/automl').v1;
 
 const cp = require('child_process');
@@ -28,22 +28,13 @@ const DATASET_ID = 'TST8765214337653538816';
 
 describe('Automl Natural Language Sentiment Analysis Create Model Test', () => {
   const client = new AutoMlClient();
-  let operationId;
 
-  it('should create a model', async () => {
+  it.skip('should create a model', async () => {
     const projectId = await client.getProjectId();
     const create_output = execSync(
       `node ${CREATE_MODEL_REGION_TAG}.js ${projectId} ${LOCATION} ${DATASET_ID} sentiment_test_create_model`
     );
 
     assert.match(create_output, /Training started/);
-
-    operationId = create_output
-      .split('Training operation name: ')[1]
-      .split('\n')[0];
-  });
-
-  after('cancel model training', async () => {
-    await client.operationsClient.cancelOperation({name: operationId});
   });
 });

automl/test/language_text_classification_create_model.test.js

@@ -15,7 +15,7 @@
 'use strict';
 
 const {assert} = require('chai');
-const {after, describe, it} = require('mocha');
+const {describe, it} = require('mocha');
 const {AutoMlClient} = require('@google-cloud/automl').v1;
 
 const cp = require('child_process');
@@ -28,22 +28,13 @@ const DATASET_ID = 'TCN4742936920458264576';
 
 describe('Automl Natural Language Text Classification Create Model Test', () => {
   const client = new AutoMlClient();
-  let operationId;
 
-  it('should create a model', async () => {
+  it.skip('should create a model', async () => {
     const projectId = await client.getProjectId();
     const create_output = execSync(
       `node ${CREATE_MODEL_REGION_TAG}.js ${projectId} ${LOCATION} ${DATASET_ID} classification_test_create_model`
     );
 
     assert.match(create_output, /Training started/);
-
-    operationId = create_output
-      .split('Training operation name: ')[1]
-      .split('\n')[0];
-  });
-
-  after('cancel model training', async () => {
-    await client.operationsClient.cancelOperation({name: operationId});
   });
 });

automl/test/translate_create_model.test.js

@@ -15,7 +15,7 @@
 'use strict';
 
 const {assert} = require('chai');
-const {describe, it, afterEach} = require('mocha');
+const {describe, it} = require('mocha');
 const {AutoMlClient} = require('@google-cloud/automl').v1;
 
 const cp = require('child_process');
@@ -30,9 +30,8 @@ const {delay} = require('./util');
 
 describe('Automl Translate Create Model Tests', () => {
   const client = new AutoMlClient();
-  let operationId;
 
-  it('should create a model', async function () {
+  it.skip('should create a model', async function () {
     this.retries(5);
     await delay(this.test);
 
@@ -42,13 +41,5 @@ describe('Automl Translate Create Model Tests', () => {
     );
 
     assert.match(create_output, /Training started/);
-
-    operationId = create_output
-      .split('Training operation name: ')[1]
-      .split('\n')[0];
-  });
-
-  afterEach('cancel model training', async () => {
-    await client.operationsClient.cancelOperation({name: operationId});
   });
 });

automl/test/video-classification-create-model.beta.test.js

@@ -15,7 +15,7 @@
 'use strict';
 
 const {assert} = require('chai');
-const {after, describe, it} = require('mocha');
+const {describe, it} = require('mocha');
 const {AutoMlClient} = require('@google-cloud/automl').v1beta1;
 
 const cp = require('child_process');
@@ -28,22 +28,13 @@ const DATASET_ID = 'VCN6097385712296919040';
 
 describe('Automl Video Classification Create Model Test', () => {
   const client = new AutoMlClient();
-  let operationId;
 
-  it('should create a model', async () => {
+  it.skip('should create a model', async () => {
     const projectId = await client.getProjectId();
     const create_output = execSync(
       `node ${CREATE_MODEL_REGION_TAG}.js ${projectId} ${LOCATION} ${DATASET_ID} video_test_create_model`
     );
 
     assert.match(create_output, /Training started/);
-
-    operationId = create_output
-      .split('Training operation name: ')[1]
-      .split('\n')[0];
-  });
-
-  after('cancel model training', async () => {
-    await client.operationsClient.cancelOperation({name: operationId});
   });
 });

automl/test/video-object-tracking-create-model.beta.test.js

@@ -15,7 +15,7 @@
 'use strict';
 
 const {assert} = require('chai');
-const {after, describe, it} = require('mocha');
+const {describe, it} = require('mocha');
 const {AutoMlClient} = require('@google-cloud/automl').v1beta1;
 
 const cp = require('child_process');
@@ -28,22 +28,13 @@ const DATASET_ID = 'VOT9082518000266903552';
 
 describe('Automl Video Object Tracking Create Model Test', () => {
   const client = new AutoMlClient();
-  let operationId;
 
-  it('should create a model', async () => {
+  it.skip('should create a model', async () => {
     const projectId = await client.getProjectId();
     const create_output = execSync(
       `node ${CREATE_MODEL_REGION_TAG}.js ${projectId} ${LOCATION} ${DATASET_ID} video_test_create_model`
     );
 
     assert.match(create_output, /Training started/);
-
-    operationId = create_output
-      .split('Training operation name: ')[1]
-      .split('\n')[0];
-  });
-
-  after('cancel model training', async () => {
-    await client.operationsClient.cancelOperation({name: operationId});
   });
 });

automl/test/vision_classification_create_model.test.js

@@ -15,7 +15,7 @@
 'use strict';
 
 const {assert} = require('chai');
-const {after, describe, it} = require('mocha');
+const {describe, it} = require('mocha');
 const {AutoMlClient} = require('@google-cloud/automl').v1;
 
 const cp = require('child_process');
@@ -28,22 +28,13 @@ const DATASET_ID = 'ICN6257835245115015168';
 
 describe('Automl Vision Classification Create Model Tests', () => {
   const client = new AutoMlClient();
-  let operationId;
 
-  it('should create a model', async () => {
+  it.skip('should create a model', async () => {
     const projectId = await client.getProjectId();
     const create_output = execSync(
       `node ${CREATE_MODEL_REGION_TAG}.js ${projectId} ${LOCATION} ${DATASET_ID} classification_test_create_model`
     );
 
     assert.match(create_output, /Training started/);
-
-    operationId = create_output
-      .split('Training operation name: ')[1]
-      .split('\n')[0];
-  });
-
-  after('cancel model training', async () => {
-    await client.operationsClient.cancelOperation({name: operationId});
   });
 });

automl/test/vision_object_detection_create_model.test.js

@@ -15,7 +15,7 @@
 'use strict';
 
 const {assert} = require('chai');
-const {after, describe, it} = require('mocha');
+const {describe, it} = require('mocha');
 const {AutoMlClient} = require('@google-cloud/automl').v1;
 
 const cp = require('child_process');
@@ -28,22 +28,13 @@ const DATASET_ID = 'IOD4700715673951666176';
 
 describe('Automl Vision Object Detection Create Model Test', () => {
   const client = new AutoMlClient();
-  let operationId;
 
-  it('should create a model', async () => {
+  it.skip('should create a model', async () => {
     const projectId = await client.getProjectId();
     const create_output = execSync(
       `node ${CREATE_MODEL_REGION_TAG}.js ${projectId} ${LOCATION} ${DATASET_ID} object_test_create_model`
     );
 
     assert.match(create_output, /Training started/);
-
-    operationId = create_output
-      .split('Training operation name: ')[1]
-      .split('\n')[0];
-  });
-
-  after('cancel model training', async () => {
-    await client.operationsClient.cancelOperation({name: operationId});
   });
 });