✨Autoscaling: scale down while in use 🚨

packages/aws-library/src/aws_library/ec2/_client.py

@@ -181,7 +181,8 @@ async def launch_instances(
             )
             instance_ids = [i["InstanceId"] for i in instances["Instances"]]
             _logger.info(
-                "New instances launched: %s, waiting for them to start now...",
+                "%s New instances launched: %s, waiting for them to start now...",
+                len(instance_ids),
                 instance_ids,
             )
 

packages/pytest-simcore/src/pytest_simcore/helpers/autoscaling.py

@@ -0,0 +1,73 @@
+from collections.abc import Callable
+
+import arrow
+from aws_library.ec2 import EC2InstanceData
+from models_library.generated_models.docker_rest_api import (
+    Availability,
+    Node,
+    NodeState,
+)
+from pytest_mock import MockType
+from simcore_service_autoscaling.models import AssociatedInstance, Cluster
+from simcore_service_autoscaling.utils.utils_docker import (
+    _OSPARC_NODE_TERMINATION_PROCESS_LABEL_KEY,
+    _OSPARC_SERVICE_READY_LABEL_KEY,
+    _OSPARC_SERVICES_READY_DATETIME_LABEL_KEY,
+)
+
+
+def assert_cluster_state(
+    spied_cluster_analysis: MockType, *, expected_calls: int, expected_num_machines: int
+) -> Cluster:
+    assert spied_cluster_analysis.call_count == expected_calls
+
+    assert isinstance(spied_cluster_analysis.spy_return, Cluster)
+    assert (
+        spied_cluster_analysis.spy_return.total_number_of_machines()
+        == expected_num_machines
+    )
+    print("current cluster state:", spied_cluster_analysis.spy_return)
+    cluster = spied_cluster_analysis.spy_return
+    spied_cluster_analysis.reset_mock()
+    return cluster
+
+
+def create_fake_association(
+    create_fake_node: Callable[..., Node],
+    drained_machine_id: str | None,
+    terminating_machine_id: str | None,
+):
+    fake_node_to_instance_map = {}
+
+    async def _fake_node_creator(
+        _nodes: list[Node], ec2_instances: list[EC2InstanceData]
+    ) -> tuple[list[AssociatedInstance], list[EC2InstanceData]]:
+        def _create_fake_node_with_labels(instance: EC2InstanceData) -> Node:
+            if instance not in fake_node_to_instance_map:
+                fake_node = create_fake_node()
+                assert fake_node.spec
+                fake_node.spec.availability = Availability.active
+                assert fake_node.status
+                fake_node.status.state = NodeState.ready
+                assert fake_node.spec.labels
+                fake_node.spec.labels |= {
+                    _OSPARC_SERVICES_READY_DATETIME_LABEL_KEY: arrow.utcnow().isoformat(),
+                    _OSPARC_SERVICE_READY_LABEL_KEY: (
+                        "true" if instance.id != drained_machine_id else "false"
+                    ),
+                }
+                if instance.id == terminating_machine_id:
+                    fake_node.spec.labels |= {
+                        _OSPARC_NODE_TERMINATION_PROCESS_LABEL_KEY: arrow.utcnow().isoformat()
+                    }
+                fake_node_to_instance_map[instance] = fake_node
+            return fake_node_to_instance_map[instance]
+
+        associated_instances = [
+            AssociatedInstance(node=_create_fake_node_with_labels(i), ec2_instance=i)
+            for i in ec2_instances
+        ]
+
+        return associated_instances, []
+
+    return _fake_node_creator

scripts/maintenance/computational-clusters/autoscaled_monitor/core.py

@@ -138,7 +138,6 @@ def _print_dynamic_instances(
                     f"{utils.color_encode_with_state(instance.name, instance.ec2_instance)}",
                     f"ID: {instance.ec2_instance.instance_id}",
                     f"AMI: {instance.ec2_instance.image_id}",
-                    f"AMI name: {instance.ec2_instance.image.name}",
                     f"Type: {instance.ec2_instance.instance_type}",
                     f"Up: {utils.timedelta_formatting(time_now - instance.ec2_instance.launch_time, color_code=True)}",
                     f"ExtIP: {instance.ec2_instance.public_ip_address}",
@@ -183,7 +182,6 @@ def _print_computational_clusters(
                     f"Name: {cluster.primary.name}",
                     f"ID: {cluster.primary.ec2_instance.id}",
                     f"AMI: {cluster.primary.ec2_instance.image_id}",
-                    f"AMI name: {cluster.primary.ec2_instance.image.name}",
                     f"Type: {cluster.primary.ec2_instance.instance_type}",
                     f"Up: {utils.timedelta_formatting(time_now - cluster.primary.ec2_instance.launch_time, color_code=True)}",
                     f"ExtIP: {cluster.primary.ec2_instance.public_ip_address}",
@@ -229,7 +227,6 @@ def _print_computational_clusters(
                         f"Name: {worker.name}",
                         f"ID: {worker.ec2_instance.id}",
                         f"AMI: {worker.ec2_instance.image_id}",
-                        f"AMI name: {worker.ec2_instance.image.name}",
                         f"Type: {worker.ec2_instance.instance_type}",
                         f"Up: {utils.timedelta_formatting(time_now - worker.ec2_instance.launch_time, color_code=True)}",
                         f"ExtIP: {worker.ec2_instance.public_ip_address}",