♻️Autoscaling: Debug logs for issue with scaling up

services/autoscaling/src/simcore_service_autoscaling/utils/utils_docker.py

@@ -107,21 +107,24 @@ def _check_if_node_is_removable(node: Node) -> bool:
 
 def _is_task_waiting_for_resources(task: Task) -> bool:
     # NOTE: https://docs.docker.com/engine/swarm/how-swarm-mode-works/swarm-task-states/
-    if (
-        not task.Status
-        or not task.Status.State
-        or not task.Status.Message
-        or not task.Status.Err
+    with log_context(
+        logger, level=logging.DEBUG, msg=f"_is_task_waiting_for_resources: {task}"
     ):
-        return False
-    return (
-        task.Status.State == TaskState.pending
-        and task.Status.Message == _PENDING_DOCKER_TASK_MESSAGE
-        and (
-            _INSUFFICIENT_RESOURCES_DOCKER_TASK_ERR in task.Status.Err
-            or _NOT_SATISFIED_SCHEDULING_CONSTRAINTS_TASK_ERR in task.Status.Err
+        if (
+            not task.Status
+            or not task.Status.State
+            or not task.Status.Message
+            or not task.Status.Err
+        ):
+            return False
+        return (
+            task.Status.State == TaskState.pending
+            and task.Status.Message == _PENDING_DOCKER_TASK_MESSAGE
+            and (
+                _INSUFFICIENT_RESOURCES_DOCKER_TASK_ERR in task.Status.Err
+                or _NOT_SATISFIED_SCHEDULING_CONSTRAINTS_TASK_ERR in task.Status.Err
+            )
         )
-    )
 
 
 async def _associated_service_has_no_node_placement_contraints(
@@ -187,6 +190,10 @@ async def pending_service_tasks_with_insufficient_resources(
     )
 
     sorted_tasks = sorted(tasks, key=_by_created_dt)
+    logger.debug(
+        "found following tasks that might trigger autoscaling: %s",
+        [task.ID for task in tasks],
+    )
 
     return [
         task

services/autoscaling/tests/unit/conftest.py

@@ -514,6 +514,7 @@ def aws_allowed_ec2_instance_type_names() -> list[InstanceTypeType]:
         "t2.2xlarge",
         "g3.4xlarge",
         "g4dn.2xlarge",
+        "g4dn.8xlarge",
         "r5n.4xlarge",
         "r5n.8xlarge",
     ]

services/autoscaling/tests/unit/test_modules_auto_scaling_dynamic.py

@@ -379,7 +379,9 @@ async def _assert_ec2_instances(
     assert len(all_instances["Reservations"]) == num_reservations
     for reservation in all_instances["Reservations"]:
         assert "Instances" in reservation
-        assert len(reservation["Instances"]) == num_instances
+        assert (
+            len(reservation["Instances"]) == num_instances
+        ), f"created {num_instances} instances of {reservation['Instances'][0]['InstanceType'] if num_instances > 0 else 'n/a'}"
         for instance in reservation["Instances"]:
             assert "InstanceType" in instance
             assert instance["InstanceType"] == instance_type
@@ -440,7 +442,7 @@ async def _assert_ec2_instances(
         ),
     ],
 )
-async def test_cluster_scaling_up_and_down(
+async def test_cluster_scaling_up_and_down(  # noqa: PLR0915
     minimal_configuration: None,
     service_monitored_labels: dict[DockerLabelKey, str],
     app_settings: ApplicationSettings,
@@ -686,6 +688,7 @@ async def test_cluster_scaling_up_and_down(
 
 @dataclass(frozen=True)
 class _ScaleUpParams:
+    imposed_instance_type: str | None
     service_resources: Resources
     num_services: int
     expected_instance_type: str
@@ -697,15 +700,28 @@ class _ScaleUpParams:
     [
         pytest.param(
             _ScaleUpParams(
+                imposed_instance_type=None,
                 service_resources=Resources(
                     cpus=5, ram=parse_obj_as(ByteSize, "36Gib")
                 ),
                 num_services=10,
-                expected_instance_type="g3.4xlarge",
+                expected_instance_type="g3.4xlarge",  # 1 GPU, 16 CPUs, 122GiB
                 expected_num_instances=4,
             ),
             id="sim4life-light",
-        )
+        ),
+        pytest.param(
+            _ScaleUpParams(
+                imposed_instance_type="g4dn.8xlarge",
+                service_resources=Resources(
+                    cpus=5, ram=parse_obj_as(ByteSize, "20480MB")
+                ),
+                num_services=7,
+                expected_instance_type="g4dn.8xlarge",  # 1 GPU, 32 CPUs, 128GiB
+                expected_num_instances=2,
+            ),
+            id="sim4life",
+        ),
     ],
 )
 async def test_cluster_scaling_up_starts_multiple_instances(
@@ -714,13 +730,12 @@ async def test_cluster_scaling_up_starts_multiple_instances(
     app_settings: ApplicationSettings,
     initialized_app: FastAPI,
     create_service: Callable[
-        [dict[str, Any], dict[DockerLabelKey, str], str], Awaitable[Service]
+        [dict[str, Any], dict[DockerLabelKey, str], str, list[str]], Awaitable[Service]
     ],
     task_template: dict[str, Any],
     create_task_reservations: Callable[[int, int], dict[str, Any]],
     ec2_client: EC2Client,
     mock_tag_node: mock.Mock,
-    fake_node: Node,
     scale_up_params: _ScaleUpParams,
     mock_rabbitmq_post_message: mock.Mock,
     mock_find_node_with_name: mock.Mock,
@@ -741,6 +756,11 @@ async def test_cluster_scaling_up_starts_multiple_instances(
                 ),
                 service_monitored_labels,
                 "pending",
+                [
+                    f"node.labels.{DOCKER_TASK_EC2_INSTANCE_TYPE_PLACEMENT_CONSTRAINT_KEY}=={scale_up_params.imposed_instance_type}"
+                ]
+                if scale_up_params.imposed_instance_type
+                else [],
             )
             for _ in range(scale_up_params.num_services)
         )
@@ -756,7 +776,7 @@ async def test_cluster_scaling_up_starts_multiple_instances(
         ec2_client,
         num_reservations=1,
         num_instances=scale_up_params.expected_num_instances,
-        instance_type="g3.4xlarge",
+        instance_type=scale_up_params.expected_instance_type,
         instance_state="running",
     )