chore: update policy

Signed-off-by: Adetokunbo Ige <[email protected]>

Author: Adetokunbo Ige

todo-app/Pulumi.dev.yaml

@@ -1,3 +1,4 @@
 config:
   todo-app:docker_image: 289940214902.dkr.ecr.us-east-1.amazonaws.com/todo_pulumi_docker_aws_lambda_api_gateway:3f8cc06
-  todo-app:environment: dev
+  todo-app:environment: dev
+  todo-app:region: us-east-1

todo-app/__main__.py

@@ -10,6 +10,9 @@
 
 docker_image = config.get("docker_image")
 environment = config.get("environment")
+region = config.get("region")
+
+aws.config.region = region
 
 # First, create the DynamoDB table
 dynamodb_table = aws.dynamodb.Table(
@@ -36,7 +39,8 @@
 
 # Create Lambda execution role
 lambda_role = aws.iam.Role(
-    "lambdaExecutionRole",
+    f"lambdaExecutionRole-{environment}",
+    name=f"lambdaExecutionRole-{environment}",
     assume_role_policy=json.dumps({
         "Version": "2012-10-17",
         "Statement": [{
@@ -52,7 +56,8 @@
 
 # Create inline policy for the role
 dynamodb_policy = aws.iam.RolePolicy(
-    "lambdaRolePolicy",
+    f"lambdaRolePolicy-{environment}",
+    name=f"lambdaRolePolicy-{environment}",
     role=lambda_role.id,
     policy=pulumi.Output.json_dumps({
         "Version": "2012-10-17",
@@ -86,8 +91,8 @@
 )
 
 # Create a Lambda function using the Docker image
-lambda_function = aws.lambda_.Function("my-serverless-function",
-    name="my-serverless-function",
+lambda_function = aws.lambda_.Function(f"my-serverless-function-{environment}",
+    name=f"my-serverless-function-{environment}",
     role=lambda_role.arn,  # Make sure you have the correct IAM role
     package_type="Image",   # Specify that this is a Docker image
     image_uri=docker_image,  # Use the image name from the previous step
@@ -96,40 +101,40 @@
 )
 
 # Create an API Gateway REST API
-api = aws.apigateway.RestApi("my-api",
+api = aws.apigateway.RestApi(f"my-api-{environment}",
     description="My serverless API")
 
 # Create a catch-all resource for the API
-proxy_resource = aws.apigateway.Resource("proxy-resource",
+proxy_resource = aws.apigateway.Resource(f"proxy-resource-{environment}",
     rest_api=api.id,
     parent_id=api.root_resource_id,
     path_part="{proxy+}")
 
 # Create a method for the proxy resource that allows any method
-method = aws.apigateway.Method("proxy-method",
+method = aws.apigateway.Method(f"proxy-method-{environment}",
     rest_api=api.id,
     resource_id=proxy_resource.id,
     http_method="ANY",
     authorization="NONE")
 
 # Integration of Lambda with API Gateway using AWS_PROXY
-integration = aws.apigateway.Integration("proxy-integration",
+integration = aws.apigateway.Integration(f"proxy-integration-{environment}",
     rest_api=api.id,
     resource_id=proxy_resource.id,
     http_method=method.http_method,
     integration_http_method="POST",
     type="AWS_PROXY",
     uri=lambda_function.invoke_arn)  # Ensure lambda_function is defined
 
-lambda_permission = aws.lambda_.Permission("api-gateway-lambda-permission",
+lambda_permission = aws.lambda_.Permission(f"api-gateway-lambda-permission-{environment}",
     action="lambda:InvokeFunction",
     function=lambda_function.name,
     principal="apigateway.amazonaws.com",
     source_arn=pulumi.Output.concat(api.execution_arn, "/*/*")
 )
 
 # Deployment of the API, explicitly depends on method and integration to avoid timing issues
-deployment = aws.apigateway.Deployment("api-deployment",
+deployment = aws.apigateway.Deployment(f"api-deployment-{environment}",
     rest_api=api.id,
     stage_name="dev",
     opts=pulumi.ResourceOptions(