feat(ecs): Add ECS cluster and task to CDK

.gitignore

@@ -0,0 +1 @@
+env

DeadlineStack/package/config.py

@@ -13,17 +13,20 @@
     Mapping,
 )
 
+
 class AppConfig:
     """
     Configuration values for the sample app.
 
     TODO: Fill these in with your own values.
     """
+
     def __init__(self):
         # A map of regions to Deadline Client Linux AMIs. As an example, the base Linux Deadline 10.1.19.4 AMI ID
         # from us-west-2 is filled in. It can be used as-is, added to, or replaced. Ideally the version here
         #  should match the one used for staging the render queue and usage based licensing recipes.
-        self.deadline_client_linux_ami_map: Mapping[str, str] = {'us-west-2': 'ami-067d780e98fe3b09f'}
+        self.deadline_client_linux_ami_map: Mapping[str, str] = {
+            'eu-west-3': 'ami-08afbca41a57b6e72'}
 
         # Whether the DeadlineResourceTrackerAccessRole IAM role required by Deadline's Resource Tracker should be created in this CDK app.
         #
@@ -33,17 +36,17 @@ def __init__(self):
         # Note: Deadline's Resource Tracker only supports being used by a single Deadline Repository per AWS account.
         self.create_resource_tracker_role: bool = True
         # AWS region deadline is deployed into (ex: "us-west-2")
-        self.aws_region:str = ""
+        self.aws_region: str = "eu-west-3"
         # Deadline VPC CIDR required (ex:"172.0.0.0/16")
-        self.vpc_cidr: str = ""
+        self.vpc_cidr: str = "10.2.0.0/16"
         # Bucket for workers script
-        self.s3_bucket_workers: str = ""
+        self.s3_bucket_workers: str = "deadline-workers-scripts-test"
         # S3 bucket worker region (verifiy this on S3 service)
-        self.s3_bucket_workers_region: str = ""
+        self.s3_bucket_workers_region: str = "eu-west-3"
         # EC2 test instance AMI
-        self.custom_ami_id: str = ""
+        self.custom_ami_id: str = "ami-0c75d0e0e7489cfbe"
         # EC2 test instance key pair
-        self.ec2_key_pair_name: str = ""
+        self.ec2_key_pair_name: str = "deadlinetest"
 
         # Spot instance fleet configuration
         # For each fleet, use those parameters:
@@ -56,23 +59,14 @@ def __init__(self):
         # "user_data_script" expecting filename (sh for Linux, ps1 for Windows) is an additional script file you uploaded to the worker S3 bucket
         self.fleet_config: dict = {
             "fleet1": {
-                "name":"Blender",
-                "is_linux":1,
+                "name": "Blender",
+                "is_linux": 1,
                 # "instance_types":[InstanceType.of(InstanceClass.BURSTABLE3, InstanceSize.LARGE)],
-                "instance_types":["m5.large","m5.2xlarge"],
-                "worker_machine_image":"",
-                "max_capacity":1,
-                "allocation_strategy":SpotFleetAllocationStrategy.CAPACITY_OPTIMIZED,
-                "user_data_script":""
-            },
-            "fleet2": {
-                "name":"Maya",
-                "is_linux":1,
-                "instance_types":["m5.large","m5.2xlarge"],
-                "worker_machine_image":"",
-                "max_capacity":1,
-                "allocation_strategy":SpotFleetAllocationStrategy.CAPACITY_OPTIMIZED,
-                "user_data_script":""
+                "instance_types": ["m5.large", "m5.2xlarge"],
+                "worker_machine_image": "ami-08afbca41a57b6e72",
+                "max_capacity": 1,
+                "allocation_strategy": SpotFleetAllocationStrategy.CAPACITY_OPTIMIZED,
+                "user_data_script": ""
             }
         }