Demystifying the ResourceNotFoundException in AWS Augmented AI Runtime Handle the ResourceNotFoundException gracefully Log an appropriate error message or initiate a fallback strategy ...

Introduction

Welcome to our technical blog, where we dive deep into the world of AWS Augmented AI Runtime (A2IR). In this article, we’ll explore one of the common exceptions you may encounter while working with this service: the ResourceNotFoundException. We’ll provide a thorough explanation and walk you through practical code examples to help you understand how to handle this exception effectively.

What is AWS Augmented AI Runtime?

AWS Augmented AI Runtime (A2IR) is a powerful service that simplifies the integration and management of human review workflows in your machine learning applications. By leveraging A2IR, you can build applications that automate the process of sending human review tasks to reviewers, receiving their feedback, and using this feedback to improve your machine learning models.

Understanding the ResourceNotFoundException

At times, when interacting with the A2IR service through its API or SDK, you may encounter the ResourceNotFoundException. This exception is thrown when the requested resource is not found within the service. It typically occurs due to one of the following scenarios:

1. Invalid or missing ARN: The ARN (Amazon Resource Name) provided to access the resource is either incorrect or does not exist. Ensure that you have provided the correct ARN when making API calls.

2. Deleted resource: The resource you are trying to access has been deleted. When a resource is deleted, it is no longer available, leading to the ResourceNotFoundException. Double-check that the resource you are attempting to access is still present.

3. Incorrect resource name: If you are using a resource name to retrieve a specific resource, ensure that the name is accurate. A minor typo in the resource name can lead to the ResourceNotFoundException.

4. Insufficient permissions: The AWS account being used to access the resource may not have the required permissions. Ensure that the IAM role or user associated with your account has the necessary permissions to access the resource.

Handling this exception gracefully will enhance the overall stability and resilience of your application.

Code Examples

Now, let’s walk through some code examples to illustrate how to handle the ResourceNotFoundException effectively.

Example 1: Retrieving a HumanTask via ARN

import com.amazonaws.services.augmentedairuntime.AmazonAugmentedAIRuntime;
import com.amazonaws.services.augmentedairuntime.model.GetHumanTaskRequest;
import com.amazonaws.services.augmentedairuntime.model.GetHumanTaskResult;
import com.amazonaws.services.augmentedairuntime.model.ResourceNotFoundException;

public class A2IRExample {
    
    public GetHumanTaskResult getHumanTask(AmazonAugmentedAIRuntime client, String humanTaskArn) {
        GetHumanTaskRequest request = new GetHumanTaskRequest()
                                            .withHumanTaskArn(humanTaskArn);
        try {
            return client.getHumanTask(request);
        } catch (ResourceNotFoundException e) {
            // Handle the ResourceNotFoundException gracefully
            // Log an appropriate error message or initiate a fallback strategy
            // ...
        }
    }
}

In the above example, we attempt to retrieve a HumanTask by providing its ARN. If the ResourceNotFoundException is thrown, we handle it accordingly. You can customize the error handling based on your application’s requirements.

Example 2: Deleting a Human Loop

import boto3
from botocore.exceptions import ClientError

def delete_human_loop(client, human_loop_name):
    try:
        client.delete_human_loop(HumanLoopName=human_loop_name)
        print(f"Human loop '{human_loop_name}' deleted successfully")
    except client.exceptions.ResourceNotFoundException:

In this Python example, we delete a human loop by providing its name. If the ResourceNotFoundException occurs, we handle it by logging an error message or implementing an alternative flow within your application.

Conclusion

In this article, we discussed the ResourceNotFoundException exception in AWS Augmented AI Runtime. We explored the various scenarios that can lead to this exception and provided code examples to illustrate how to handle it gracefully. By understanding and effectively managing this exception, you can ensure the smooth functioning of your machine learning applications built on the A2IR service.

For more information on how to interact with A2IR and handle exceptions, refer to the official AWS documentation: AWS Augmented AI Runtime Documentation.

We hope this article has been insightful and has equipped you with the knowledge to handle the ResourceNotFoundException effectively. Happy coding!