docs: use a fake dataset to make create model testable (#306)

automl/test/language_entity_extraction_create_model.test.js

@@ -20,32 +20,24 @@ const {AutoMlClient} = require('@google-cloud/automl').v1;
 
 const cp = require('child_process');
 
-const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
-
-const CREATE_MODEL_REGION_TAG = 'language_entity_extraction_create_model';
+const CREATE_MODEL_REGION_TAG = 'language_entity_extraction_create_model.js';
 const LOCATION = 'us-central1';
-const DATASET_ID = 'TEN8374527069979148288';
+const DATASET_ID = 'TEN0000000000000000000';
 
 describe('Automl Natural Language Entity Extraction Create Model Test', () => {
   const client = new AutoMlClient();
   // let operationId;
 
   // Natural language entity extraction models are non cancellable operations
-  it.skip('should create a model', async () => {
+  it('should create a model', async () => {
+    // As entity extraction does not let you cancel model creation, instead try
+    // to create a model from a nonexistent dataset, but other elements of the
+    // request were valid.
     const projectId = await client.getProjectId();
+    const args = [CREATE_MODEL_REGION_TAG, projectId, LOCATION, DATASET_ID];
+    const output = cp.spawnSync('node', args, {encoding: 'utf8'});
 
-    const create_output = execSync(
-      `node ${CREATE_MODEL_REGION_TAG}.js ${projectId} ${LOCATION} ${DATASET_ID} extraction_test_create_model`
-    );
-
-    assert.match(create_output, /Training started/);
-
-    // operationId = create_output
-    //   .split('Training operation name: ')[1]
-    //   .split('\n')[0];
+    assert.match(output.stderr, /NOT_FOUND/);
+    assert.match(output.stderr, /Dataset does not exist./);
   });
-
-  // after('cancel model training', async () => {
-  //   await client.operationsClient.cancelOperation({name: operationId});
-  // });
 });