Fix lambda name conflicts

Currently some of the AWS objects created by the test workspace in
Terraform lack the "dev" qualifier in their names. This causes those
names to conflict with the unqualified names from the prod workspace.
This commit adds the missing "dev" qualifiers.

terraform/test_cluster/record_thumbnail_dev_lambda.tf

@@ -75,14 +75,14 @@ data "aws_iam_policy_document" "assume_role" {
   }
 }
 
-resource "aws_iam_role" "record_thumbnail_lambda_role" {
-  name               = "record-thumbnail-lambda-role"
+resource "aws_iam_role" "record_thumbnail_dev_lambda_role" {
+  name               = "record-thumbnail-dev-lambda-role"
   assume_role_policy = data.aws_iam_policy_document.assume_role.json
 }
 
-resource "aws_iam_role_policy" "record_thumbnail_lambda_policy" {
+resource "aws_iam_role_policy" "record_thumbnail_dev_lambda_policy" {
   name = "record-thumbnail-lambda-policy"
-  role = aws_iam_role.record_thumbnail_lambda_role.name
+  role = aws_iam_role.record_thumbnail_dev_lambda_role.name
   policy = jsonencode({
     Version = "2012-10-17"
     Statement = [
@@ -107,11 +107,11 @@ resource "aws_iam_role_policy" "record_thumbnail_lambda_policy" {
   })
 }
 
-resource "aws_lambda_function" "record_thumbnail_lambda" {
+resource "aws_lambda_function" "record_thumbnail_dev_lambda" {
   package_type  = "Image"
   image_uri     = var.record_thumbnail_dev_lambda_image
   function_name = "record-thumbnail-dev-lambda"
-  role          = aws_iam_role.record_thumbnail_lambda_role.arn
+  role          = aws_iam_role.record_thumbnail_dev_lambda_role.arn
   timeout       = 30
 
   vpc_config {
@@ -133,7 +133,7 @@ resource "aws_lambda_function" "record_thumbnail_lambda" {
 
 resource "aws_lambda_event_source_mapping" "record_thumbnail_dev_event_source_mapping" {
   event_source_arn                   = aws_sqs_queue.record_thumbnail_dev_queue.arn
-  function_name                      = aws_lambda_function.record_thumbnail_lambda.arn
+  function_name                      = aws_lambda_function.record_thumbnail_dev_lambda.arn
   batch_size                         = 10
   maximum_batching_window_in_seconds = 0
 }