AWS S3 Adapter

S3 (Simple Storage Service) is an object storage service that is provided by Amazon Web Services. The AWS S3 object service on Quantum Fabric connects to the specified S3 bucket, and also performs supported operations, such as uploading and downloading files.

You can use the service in scenarios where you want to store the data for your app (such as archives, website data, or data lakes) in an S3 bucket.

Configure an object service for AWS S3

To configure an AWS S3 adapter, follow these steps:

1. While selecting an endpoint for an object service, from the Endpoint Type list, select AWS S3.
2. In the Name field, provide a unique name for your service.
   

   NOTE: If you have an existing service with the same name, you can select a different Version for the service.

3. Under Connection Parameters, provide the following details.

   Fields	Description
   Expiry Time	The expiration period of the objects in the S3 bucket. This parameter is optional.
   Access Key	The access key ID of your AWS account. For more information, refer to Managing Access Keys for Your AWS Account Root User.
   Access Secret	The secret access key of your AWS account. For more information, refer to Managing Access Keys for Your AWS Account Root User.
   Backend URL	The URL of the service endpoint on AWS. For more information, refer to AWS Service Endpoints.
   Region	The region code of your endpoint. For more information, refer to Regional Endpoints.
   Bucket Path	The path of the S3 bucket that you want to use. For more information, refer to Path-Style Access.
   Service Namespace	The namespace of the resource that you want to use. For more information, refer to Amazon Resource Names.
   Advanced Settings	Additional settings that are configured for the S3 bucket. For more information, refer to Advanced Settings for S3 Bucket Properties. This parameter is optional.

4. For additional configuration of your service definition, provide the following details in the Advanced section.

   Field	Description
   Custom code	Specifies any custom business logic that you want to use for the service and the operations. The custom business logic must be in a JAR file. To specify a JAR associated to the service, select one from the Select Existing JAR drop-down menu or click Upload New to add a new JAR file. For on-premise instances of Quantum Fabric, make sure that the JAR file that is built on the same JDK version that is used to install Quantum Fabric Integration.
   API Throttling	API throttling on the Quantum Fabric Console limits the number of request calls within a minute. To use API Throttling, configure the following fields: Total Rate Limit: Limits the number of requests that are processed by the service Rate Limit Per IP: Limits the number of requests that are processed by an IP address To override throttling from the Quantum Fabric App Services Console, refer to Override API Throttling Configuration.

   NOTE:
   Options in the Advanced section are optional.

5. Enter the Description for the service.
6. Click SAVE to save your service definition.

AWS S3 Operations

After you create an object service for the AWS S3, Quantum Fabric creates a default object for the service. Fabric also creates operations for the service.

The operations are REST APIs that are mapped to back-end methods, such as GET and CREATE. For more information about these operations, refer to File Storage Adapter APIs.

You can invoke the operations from a Quantum Visualizer project by using the Quantum Fabric SDKs. For example, to upload an image file from the client app to the S3 bucket, you can use the following code:

//Function to upload a file to the bucket
function uploadFile()
{
	//Creating an instance for the Object Service
	currentObj = kony.sdk.getCurrentInstance();
	objSvc = currentObj.getObjectService("<Object-Service>", {"access" : "online"});
	
	//Setting the headers for the request
	headers = {};
	headers["Content-Type"] = "application/json";
	
	//Creating an image object for upload
	fileMap = {};
	fileMap["rawBytes"] = kony.convertToBase64(<Form>.<Image-Widget>.rawBytes); 
	
	//Setting the metadata for the image file
	metadata = {};
	metadata["file_name"] = <Form>.<TextBox-Widget>.text + ".jpg";
	metadata["security_key"] =  <Form>.<TextBox-Widget_Secure>.text;
	metadata["file_namespace"] = "review";
	
	//Configuring the upload parameters for the request
	uploadEntityType = "UploadInputTypeRawBytes";
	uploadParams = {};
	uploadParams["headers"] = headers;
	uploadParams["metadata"] = metadata;
	uploadParams["file"] = fileMap;
	
	//Creating a success callback for the upload API
	function successCallback(response)
	{
		alert("Upload successful for " + metadata["file_name"] + " : " + JSON.stringify(response));
	}
	
	//Creating a failure callback for the upload API
	function failureCallback(error)
	{
		alert("Upload Error " + JSON.stringify(error));
	}
	
	//Setting additional options for the request
	options =
	{
		disableIntegrityCheck: true
	};
	
	//Calling the upload API
	objSvc.getFileStorage().upload(uploadEntityType, uploadParams, successCallback, failureCallback, options);
}

In the code snippet, the rawBytes of the image are fetched from an Image Widget on a form. The rawBytes are then uploaded to the S3 bucket by using the upload API.