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[Core][CLI] ray status and ray memory no longer starts a new job (#13391)

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* Access memory info in ray memory via GlobalStateAccessor rather than calling ray.init()

* Modify ray status cli so that it doesn't start a new job via ray.init()

* Remove local test file

* Access memory info in ray memory via GlobalStateAccessor rather than calling ray.init()

* Modify ray status cli so that it doesn't start a new job via ray.init()

* Remove local test file

* Make status and error args required in commands.py#debug.status

* Remove unnecessary imports

* Access memory info in ray memory via GlobalStateAccessor rather than calling ray.init()

* Modify ray status cli so that it doesn't start a new job via ray.init()

* Remove local test file

* Access memory info in ray memory via GlobalStateAccessor rather than calling ray.init()

* Modify ray status cli so that it doesn't start a new job via ray.init()

* Remove local test file

* Make status and error args required in commands.py#debug.status

* Remove unnecessary imports

* Job 38482.1 should now pass

* Resolve merge conflict
This commit is contained in:
Micah Yong
2021-01-14 10:12:16 -08:00
committed by GitHub
parent 2d772a5a6d
commit c89ebdd94a
3 changed files with 32 additions and 17 deletions
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python/ray/autoscaler/_private/commands.py
+3 -6
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@@ -20,14 +20,13 @@ except ImportError: # py2
from pipes import quote
import ray
from ray.experimental.internal_kv import _internal_kv_get, _internal_kv_put
from ray.experimental.internal_kv import _internal_kv_put
import ray._private.services as services
from ray.autoscaler.node_provider import NodeProvider
from ray.autoscaler._private.constants import \
AUTOSCALER_RESOURCE_REQUEST_CHANNEL
from ray.autoscaler._private.util import validate_config, hash_runtime_conf, \
hash_launch_conf, prepare_config, DEBUG_AUTOSCALING_ERROR, \
DEBUG_AUTOSCALING_STATUS
hash_launch_conf, prepare_config
from ray.autoscaler._private.providers import _get_node_provider, \
_NODE_PROVIDERS, _PROVIDER_PRETTY_NAMES
from ray.autoscaler.tags import TAG_RAY_NODE_KIND, TAG_RAY_LAUNCH_CONFIG, \
@@ -90,10 +89,8 @@ def try_reload_log_state(provider_config: Dict[str, Any],
return reload_log_state(log_state)
def debug_status() -> str:
def debug_status(status, error) -> str:
"""Return a debug string for the autoscaler."""
status = _internal_kv_get(DEBUG_AUTOSCALING_STATUS)
error = _internal_kv_get(DEBUG_AUTOSCALING_ERROR)
if not status:
status = "No cluster status."
else: