Update notebook to use CLI to cleanup

Author: brightsparc

notebook/mab-reviews-helpfulness.ipynb

@@ -1758,9 +1758,7 @@
     "The API Lambda functions are instrumented with [AWS X-Ray](https://aws.amazon.com/xray/) so you can inspect the latency for all downstream services including\n",
     "* DynamoDB\n",
     "* Amazon SageMaker\n",
-    "* Kinesis Firehose\n",
-    "\n",
-    "![\\[AB Testing Pipeline X-Ray\\]](../docs/ab-testing-pipeline-xray.png)"
+    "* Kinesis Firehose"
    ]
   },
   {
@@ -1769,10 +1767,7 @@
    "source": [
     "## Clean up\n",
     "\n",
-    "It is strongly recommended that you use CloudFormation to delete your SageMaker endpoint.\n",
-    "* `sagemaker-<<project_name>>-deploy-<<stage>>`\n",
-    "\n",
-    "Alternatively, you can delete the endpoint manually below."
+    "Start by deleting the AWS CloudFormation stack created to provision the SageMaker endpoint. "
    ]
   },
   {
@@ -1781,21 +1776,32 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "endpoint_name = f'sagemaker-{project_name}-{stage_name}' \n",
-    "\n",
-    "print(f\"Deleting endpoint: {endpoint_name}...\")\n",
-    "sm_client.delete_endpoint(EndpointName=endpoint_name)\n",
-    "sm_client.get_waiter('endpoint_deleted').wait(EndpointName=endpoint_name)\n",
-    "print(\"Complete.\")"
+    "deploy_stack =  f\"sagemaker-{project_name}-deploy-{stage_name}\"\n",
+    "!aws cloudformation delete-stack --stack-name  $deploy_stack"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Then you can delete the project, which delete the AWS CloudFormation template that was used to create the A/B Testing deployment pipline.\n",
-    "\n",
-    "`NOTE`: You will need to ensure the S3 artifact bucket is empty before you are able to completely delete the project."
+    "Then empty the S3 bucket containing the artifacts output from the A/B Testing deployment pipeline."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "s3_artifact_path = f\"s3://sagemaker-{project_id}-artifact-{stage_name}-{region_name}\"\n",
+    "!aws s3 rm --recursive $s3_artifact_path"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Once complete, delete the project which removes the AWS CloudFormation stack that created the CodePipeline."
    ]
   },
   {
@@ -1804,7 +1810,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "sm_client.delete_project(ProjectName=project_name)"
+    "!aws sagemaker delete-project --project-name $project_name"
    ]
   }
  ],