fix: Set location to us-central1 instead of using default global

Author: gericdong

ai-platform/snippets/predict-text-extraction.js

@@ -28,7 +28,7 @@ const customJobDisplayName = `temp_create_custom_job_test${uuid()}`;
 const containerImageUri =
   'gcr.io/ucaip-sample-tests/ucaip-training-test:latest';
 const project = process.env.CAIP_PROJECT_ID;
-const location = process.env.LOCATION;
+const location = 'us-central1';
 
 function parseResponse(stdout) {
   let res = {};

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

@@ -27,7 +27,7 @@ const cwd = path.join(__dirname, '..');
 
 const datasetDisplayName = `temp_create_dataset_image_test_${uuid()}`;
 const project = process.env.CAIP_PROJECT_ID;
-const location = process.env.LOCATION;
+const location = 'us-central1';
 
 let datasetId;
 

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

@@ -28,7 +28,7 @@ const cwd = path.join(__dirname, '..');
 const datasetDisplayName = `temp_create_dataset_tables_bigquery_test_${uuid()}`;
 const bigquerySourceUri = 'bq://ucaip-sample-tests.table_test.all_bq_types';
 const project = process.env.CAIP_PROJECT_ID;
-const location = process.env.LOCATION;
+const location = 'us-central1';
 
 let datasetId;
 

ai-platform/snippets/test/create-dataset-tabular-bigquery.test.js

@@ -28,7 +28,7 @@ const cwd = path.join(__dirname, '..');
 const datasetDisplayName = `temp_create_dataset_tables_gcs_test_${uuid()}`;
 const gcsSourceUri = 'gs://cloud-ml-tables-data/bank-marketing.csv';
 const project = process.env.CAIP_PROJECT_ID;
-const location = process.env.LOCATION;
+const location = 'us-central1';
 
 let datasetId;
 

ai-platform/snippets/test/create-dataset-tabular-gcs.test.js

@@ -27,7 +27,7 @@ const cwd = path.join(__dirname, '..');
 
 const displayName = `temp_create_dataset_text_test_${uuid()}`;
 const project = process.env.CAIP_PROJECT_ID;
-const location = process.env.LOCATION;
+const location = 'us-central1';
 
 let datasetId;
 

ai-platform/snippets/test/create-dataset-text.test.js

@@ -27,7 +27,7 @@ const cwd = path.join(__dirname, '..');
 
 const datasetDisplayName = `temp_create_dataset_video_test_${uuid()}`;
 const project = process.env.CAIP_PROJECT_ID;
-const location = process.env.LOCATION;
+const location = 'us-central1';
 
 let datasetId;
 

ai-platform/snippets/test/create-dataset-video.test.js

@@ -29,7 +29,7 @@ const datasetDisplayName = `temp_create_dataset_test_${uuid()}`;
 const metadataSchemaUri =
   'gs://google-cloud-aiplatform/schema/dataset/metadata/image_1.0.0.yaml';
 const project = process.env.CAIP_PROJECT_ID;
-const location = process.env.LOCATION;
+const location = 'us-central1';
 
 let datasetId;
 

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

@@ -25,7 +25,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 const modelId = '3530998029718913024';
 const evaluationId = '305008923591573504';
 const project = process.env.CAIP_PROJECT_ID;
-const location = process.env.LOCATION;
+const location = 'us-central1';
 
 describe('AI platform get video action recognition model evaluation', () => {
   it('should get the evaluation from the specified model', async () => {