remove some unnecessary diffs

Author: martijnvans

examples/multiple_tables/terraform.tfvars

@@ -1,3 +1,4 @@
+project_id                  = "example-project"
 delete_contents_on_destroy  = true
 default_table_expiration_ms = 3600000
 dataset_labels = {

test/integration/data_warehouse/data_warehouse_test.go

@@ -66,28 +66,28 @@ func TestDataWarehouse(t *testing.T) {
 		utils.Poll(t, verifyWorkflows, 8, 30*time.Second)
 
 		homeDir, err := os.UserHomeDir()
-		if err != nil {
-			log.Fatal(err)
-		}
-		file, err := os.Create(homeDir + "/.bigqueryrc")
-		if err != nil {
-			log.Fatal(err)
-		}
-		file.Close()
+        if err != nil {
+            log.Fatal(err)
+        }
+        file, err := os.Create(homeDir + "/.bigqueryrc")
+        if err != nil {
+            log.Fatal(err)
+        }
+        file.Close()
 
 		// Assert BigQuery tables & views are not empty
-		test_tables := func() {
+		test_tables := func (){
 
 			tables := []string{
-				"thelook.distribution_centers",
-				"thelook.events",
-				"thelook.inventory_items",
-				"thelook.order_items",
-				"thelook.orders",
-				"thelook.products",
-				"thelook.users",
-				"thelook.lookerstudio_report_distribution_centers",
-				"thelook.lookerstudio_report_profit",
+			"thelook.distribution_centers",
+			"thelook.events",
+			"thelook.inventory_items",
+			"thelook.order_items",
+			"thelook.orders",
+			"thelook.products",
+			"thelook.users",
+			"thelook.lookerstudio_report_distribution_centers",
+			"thelook.lookerstudio_report_profit",
 			}
 
 			query_template := "SELECT COUNT(*) AS count_rows FROM `%[1]s.%[2]s`;"
@@ -108,6 +108,7 @@ func TestDataWarehouse(t *testing.T) {
 
 		// Assert BigQuery connection to Vertex GenAI was successfully created and works as expected
 		test_llms := func() {
+
 			llm_query_template := "SELECT COUNT(*) AS count_rows FROM ML.GENERATE_TEXT(MODEL `%[1]s.thelook.text_generate_model`, (with clusters AS(SELECT CONCAT('cluster', CAST(centroid_id as STRING)) as centroid, avg_spend as average_spend, count_orders as count_of_orders, days_since_order FROM (SELECT centroid_id, feature, ROUND(numerical_value, 2) as value FROM ML.CENTROIDS(MODEL `%[1]s.thelook.customer_segment_clustering`)) PIVOT (SUM(value) FOR feature IN ('avg_spend', 'count_orders', 'days_since_order')) ORDER BY centroid_id) SELECT 'Pretend you are a creative strategist, given the following clusters come up with creative brand persona and title labels for each of these clusters, and explain step by step; what would be the next marketing step for these clusters' || ' ' || clusters.centroid || ', Average Spend $' || clusters.average_spend || ', Count of orders per person ' || clusters.count_of_orders || ', Days since last order ' || clusters.days_since_order AS prompt FROM clusters), STRUCT(800 AS max_output_tokens, 0.8 AS temperature, 40 AS top_k, 0.8 AS top_p, TRUE AS flatten_json_output));"
 			query := fmt.Sprintf(llm_query_template, projectID)
 			llm_op := bq.Runf(t, "--project_id=%[1]s --headless=true query --nouse_legacy_sql %[2]s", projectID, query)
@@ -116,9 +117,9 @@ func TestDataWarehouse(t *testing.T) {
 			count_llm_kind := reflect.TypeOf(llm_count).Kind()
 			llm_test_result := assert.Greater(llm_count, int64(0))
 			if llm_test_result == true {
-			} else {
-				fmt.Printf("Some kind of error occurred while running the llm_count query. We think it has %[1]d rows. Here's some additional details: \n Query results. If this number is greater than 0, then there is probably an issue in the comparison: %[2]s \n Variable type for the count. This should be INT64: %[3]s \n ", llm_count, llm_op, count_llm_kind)
-			}
+				} else {
+					fmt.Printf("Some kind of error occurred while running the llm_count query. We think it has %[1]d rows. Here's some additional details: \n Query results. If this number is greater than 0, then there is probably an issue in the comparison: %[2]s \n Variable type for the count. This should be INT64: %[3]s \n ", llm_count, llm_op, count_llm_kind)
+				}
 		}
 		test_llms()
 	})