chore: import upstream snapshot with attribution

python/ray/autoscaler/_private/legacy_info_string.py

@@ -0,0 +1,37 @@
+import logging
+
+from ray._private.ray_constants import DEBUG_AUTOSCALING_STATUS_LEGACY
+from ray.experimental.internal_kv import _internal_kv_initialized, _internal_kv_put
+
+"""This file provides legacy support for the old info string in order to
+ensure the dashboard's `api/cluster_status` does not break backwards
+compatibilty.
+"""
+
+logger = logging.getLogger(__name__)
+
+
+def legacy_log_info_string(autoscaler, nodes):
+    tmp = "Cluster status: "
+    tmp += info_string(autoscaler, nodes)
+    tmp += "\n"
+    tmp += autoscaler.load_metrics.info_string()
+    tmp += "\n"
+    tmp += autoscaler.resource_demand_scheduler.debug_string(
+        nodes,
+        autoscaler.pending_launches.breakdown(),
+        autoscaler.load_metrics.get_resource_utilization(),
+    )
+    if _internal_kv_initialized():
+        _internal_kv_put(DEBUG_AUTOSCALING_STATUS_LEGACY, tmp, overwrite=True)
+    logger.debug(tmp)
+
+
+def info_string(autoscaler, nodes):
+    suffix = ""
+    if autoscaler.updaters:
+        suffix += " ({} updating)".format(len(autoscaler.updaters))
+    if autoscaler.num_failed_updates:
+        suffix += " ({} failed to update)".format(len(autoscaler.num_failed_updates))
+
+    return "{} nodes{}".format(len(nodes), suffix)