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Uploading a File to Amazon S3 with Script Canvas

Uploading a File to Amazon S3 with Script Canvas

You can use the AWSBehaviorS3Upload node in Script Canvas to upload a file from your computer to the Amazon S3 bucket that you specify. If the object that you specify already exists, it is overwritten.

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Step 1: Add Nodes that Upload a File to Amazon S3

The following procedure shows you how to create a Script Canvas graph that uploads a file to Amazon S3. The example uses the file lumberyard_version\dev\Cache\CloudGemSamples\pc\cloudgemsamples\levels\awsbehaviorexamples\testdata\s3example.txt that is included with Lumberyard.

To upload a file to Amazon S3

  1. In Lumberyard Editor, choose Tools, Script Canvas.

  2. In the Node Palette, expand Utilities and drag On Graph Start to the canvas.

  3. On the right, in Variable Manager, click Create Variable.

  4. In the Variable Type search box, enter AWSBehaviorS3Upload, or scroll down to AWSBehaviorS3Upload.

  5. Click AWSBehaviorS3Upload. In Node Inspector, AWSBehaviorS3Upload Variable appears. The default name of the variable is Variable 1.

  6. In Node Inspector, expand AWSBehaviorS3Upload to show the input fields. Type the values in the following table into the corresponding boxes. KeyName is the name that the file will have on Amazon S3.

[See the AWS documentation website for more details]

  1. From the Variable Manager, press Shift and drag Variable 1 AWSBehaviorS3Upload to the canvas to create the Get Variable 1 node. (You can also drag AWSBehaviorS3Upload to the canvas and then select Get Variable from the drop-down menu.)

  2. Connect the Out pin of the On Graph Start node to the In pin of the Get Variable 1 node.

  3. In the Node Palette, expand AWS, AWSBehaviorS3Upload.

  4. Drag the Upload node to the right of the Get Variable 1 node on the canvas.

  5. Connect the Out pin of the Get Variable 1 node to the In pin of the Upload node.

  6. Connect the AWSBehaviorS3Upload pin of the Get Variable 1 node to the AWSBehaviorS3Upload:0 pin of the Upload node.

Step 2: Add Nodes to Display the Result

Next, to see the success or failure of the operation, add AWSBehaviorS3UploadNotificationBus nodes and a Print node to the graph. The nodes monitor for AWSBehaviorS3UploadNotificationBus events and show you the result in the Lumberyard console window.

To display the success or failure of the upload operation in the console window

  1. In the Node Palette, expand AWS, AWSBehaviorS3UploadNotificationBus.

  2. Drag OnError to the canvas. Place the node under the three nodes that are already connected.

  3. Drag OnSuccess to the canvas and place it under the OnError node.

  4. In the Node Palette, expand Utilities, Debug and drag Print to the right of the two AWSBehaviorS3UploadNotificationBus nodes on the canvas. The Print node displays messages in the Lumberyard Editor console.

  5. Connect the Out pins of the AWSBehaviorS3UploadNotificationBus OnError and OnSuccess nodes to the In pin of the Print node.

  6. Connect the String pins of the AWSBehaviorS3UploadNotificationBus OnError and OnSuccess nodes to the Value pin on the Print node. Your canvas should look similar to the following image:
    [A Script Canvas graph that uploads a file to Amazon S3]

  7. Save the canvas with a name like MyS3UploadTest.scriptcanvas. The default file location is the lumberyard_version\dev\project_name\scriptcanvas directory.

  8. Exit the Script Canvas editor.

Step 3: Test Upload a File to Amazon S3

Now you are ready to attach the script canvas to an entity and test the script.

To test uploading to Amazon S3

  1. In Lumberyard Editor, right-click the viewport and choose Create entity.

  2. In Entity Inspector, click Add Component.

  3. Under Scripting, click Script Canvas to add a Script Canvas component to the entity.

  4. Under Script Canvas, click the browse button (...).

  5. In the Pick Script Canvas dialog box, choose the canvas that you created – for example, mys3uploadtest (Script Canvas), and then click OK.

  6. If the Lumberyard console window is not already open, press ` or choose Tools, Console to open the console window. If the console window is already open and you want to clear it, press Ctrl+Shift+C.

  7. Press Ctrl+G to start the level. The console reports the success of the operation, as in the following example.

    general.enter_game_mode
Returned:
(Found resource management based identity pool %s.) - us-east-1:guid
(Found resource management based identity pool %s for authenticated access.) - us-east-1:guid
(CloudCanvas) - Anonymous Credentials pulled successfully for identity pool us-east-1:guid.
Disable Accelerators
(Script Canvas) - File Uploaded
general.exit_game_mode

Step 4: Verify the Upload

To verify that the file has been uploaded to Amazon S3, you can use the AWS Management Console.

To verify that the test file has been uploaded to Amazon S3

  1. In a text editor, open the lumberyard_version\dev\Cache\CloudGemSamples\pc\user\AWS\user-settings.json file.

  2. In the user-settings.json file, locate the Amazon S3 name for the CloudGemAWSScriptBehaviors.s3nodeexamples bucket. The Amazon S3 bucket name is in the string for the PhysicalResourceId attribute, as in the following example:

    "CloudGemAWSScriptBehaviors.s3nodeexamples": {
    "PhysicalResourceId": "cgsamples14-221-cgsamples14-221dep-s3nodeexamples-16ud5gt53zjx7", 
    "ResourceType": "AWS::S3::Bucket"

  3. In Lumberyard Editor, choose AWS, Open AWS Console, S3.

  4. In the Amazon S3 management console, open the bucket that you identified in step 2.

  5. The s3uploadtest.txt file appears in the bucket.