`wait_ready()` fails when called before MCAD status object is created

[MichaelClifford]

There is a case, when the cluster is out of capacity and MCAD fails to create a cluster, where wait_ready() will fail with:

TypeError: 'MissingModel' object is not callable
Failed to init Ray cluster, error 'MissingModel' object is not callable

This appears to be caused by line 469 in _map_to_app_wrapper() when no state yet exists.

codeflare-sdk/src/codeflare_sdk/cluster/cluster.py

Lines 465 to 472 in 0d9b23c

	def _map_to_app_wrapper(cluster) -> AppWrapper:
	cluster_model = cluster.model
	return AppWrapper(
	name=cluster.name(),
	status=AppWrapperStatus(cluster_model.status.state.lower()),
	can_run=cluster_model.status.canrun,
	job_state=cluster_model.status.queuejobstate,
	)

We should updatecluster.status() to account for this instance and keep the cluster status "pending" until it is resolved, or times out.

We should also add some error handling to _map_to_app_wrapper() so that the reason for failure is clear and the correct value is passed up to cluster.status().

Orginal Request from Slack:
https://project-codeflare.slack.com/archives/C04PF8V5MB3/p1689336080924819

[Maxusmusti]

Update: the issue is not resolved by the kubernetes support update, but it is changed. No longer a MissingModel issue, but some elements of status not populated yet that need to be checked for.

[Maxusmusti]

Update: Addressed with #254