Creating the client application component

If you haven't already, create the gRPC stub files. For more information, see Setting up gRPC.

Save the following code to a file named lookoutvision_edge_agent_example.py

import grpc
from edge_agent_pb2_grpc import EdgeAgentStub
import edge_agent_pb2 as pb2

# Creating stub.
with grpc.insecure_channel("unix:///tmp/aws.iot.lookoutvision.EdgeAgent.sock") as channel:
    stub = EdgeAgentStub(channel)
    # Add additional code that works with Edge Agent in this block to prevent resources leakage

    models_list_response = stub.ListModels(
        pb2.ListModelsRequest()
    )
    for model in models_list_response.models:
        print(f"Model Details {model}")

Create an Amazon S3 bucket (or use an existing bucket) to store the source files for your client application component. The bucket must in your AWS account and in the same AWS Region in which you use AWS IoT Greengrass Version 2 and Amazon Lookout for Vision.

Upload lookoutvision_edge_agent_example.py, edge_agent_pb2_grpc.py and edge_agent_pb2.py to the Amazon S3 bucket that you created in the previous step. Note the Amazon S3 path of each file. You created edge_agent_pb2_grpc.py and edge_agent_pb2.py in Setting up gRPC.

In an editor create the following JSON or YAML recipe file.

Save the JSON or YAML file to your computer.

Create the client application component by doing one of the following:

If you haven't already, create the recipe for your client appication component by doing Creating the recipe.

Open the AWS IoT Greengrass console at https://console.aws.amazon.com/iot/

In the left navigation pane, under Greengrass choose Components.

Under My components choose Create component.

On the Create component page choose Enter recipe as JSON if you want to use a JSON format recipe. Choose Enter recipe as YAML if you want to use a YAML format recipe.

Under Recipe replace the existing recipe with the JSON or YAML recipe that you created in Creating the recipe.

Choose Create component.

Next, deploy your client application component.

If you haven't already, create the recipe for your client appication component by doing Creating the recipe.

At the command prompt, enter the following command to create the client application component. Replace recipe-file with the name of the recipe file you created in Creating the recipe.

aws greengrassv2 create-component-version --inline-recipe fileb://recipe-file

Note the ARN of the component in the response. You need it in the next step.

Use the following command to get the status of the client application component. Replace component-arn with the ARN that you noted in the previous step. The client application component is ready if the value of componentState is DEPLOYABLE.

aws greengrassv2 describe-component --arn component-arn

Next, deploy your client application component.