ci: graalvm presubmit tests focus on module modified in PR (#10562)

* ci: graalvm presubmit tests focus on module modified in PR

* ci: insignificant vertexai update for CI verification

.kokoro/build.sh

@@ -66,14 +66,11 @@ case ${JOB_TYPE} in
     fi
     ;;
   graalvm-presubmit)
-    if [ -z "${MAVEN_MODULES}" ]; then
-      echo "MAVEN_MODULES not defined in environment."
-      exit 1
-    fi
-    printf "Running GraalVM checks for:\n%s\n" "${MAVEN_MODULES}"
-    setup_cloud "$MAVEN_MODULES"
+    generate_graalvm_presubmit_modules_list
+    printf "Running GraalVM presubmit checks for:\n%s\n" "${module_list}"
+    setup_cloud "$module_list"
     install_modules
-    run_graalvm_tests "$MAVEN_MODULES"
+    run_graalvm_tests "$module_list"
     ;;
   graalvm)
     generate_graalvm_modules_list

.kokoro/common.sh

@@ -173,6 +173,26 @@ function run_graalvm_tests() {
   printf "Finished Unit and Integration Tests for GraalVM:\n%s\n" "$1"
 }
 
+function generate_graalvm_presubmit_modules_list() {
+  modules_assigned_list=()
+  generate_modified_modules_list
+  if [[ ${#modified_module_list[@]} -gt 0 && ${#modified_module_list[@]} -lt 10 ]]; then
+    # If only a few modules have been modified, focus presubmit testing only on them.
+    module_list=$(
+      IFS=,
+      echo "${modified_module_list[*]}"
+    )
+  else
+    # If no modules have been modified or if too many have been modified, just test the modules
+    # specified in the MAVEN_MODULES env var.
+    if [ -z "${MAVEN_MODULES}" ]; then
+      echo "MAVEN_MODULES not defined in environment."
+      exit 1
+    fi
+    module_list=${MAVEN_MODULES}
+  fi
+}
+
 function generate_graalvm_modules_list() {
   modules_assigned_list=()
   generate_modified_modules_list

java-vertexai/google-cloud-vertexai/pom.xml

@@ -6,7 +6,9 @@
   <version>0.7.0-SNAPSHOT</version><!-- {x-version-update:google-cloud-vertexai:current} -->
   <packaging>jar</packaging>
   <name>Google VertexAI API</name>
-  <description>VertexAI API Vertex AI is an integrated suite of machine learning tools and services for building and using ML models with AutoML or custom code. It offers both novices and experts the best workbench for the entire machine learning development lifecycle.</description>
+  <description>VertexAI API Vertex AI is an integrated suite of machine learning tools and services
+    for building and using ML models with AutoML or custom code. It offers both novices and experts
+    the best workbench for the entire machine learning development lifecycle.</description>
   <parent>
     <groupId>com.google.cloud</groupId>
     <artifactId>google-cloud-vertexai-parent</artifactId>