Previously the ML model snapshot upgrade endpoint did not
provide a way to reliably monitor progress. This could lead
to the upgrade assistant UI thinking that a model snapshot
upgrade had finished when it actually hadn't.
This change adds a new "stats" API that allows external
interested parties to find out the status of each model
snapshot upgrade and which node (if any) each is running on.
Fixes#81519
Adds a new API that allows a user to reset
an anomaly detection job.
To use the API do:
```
POST _ml/anomaly_detectors/<job_id>_reset
```
The API removes all data associated to the job.
In particular, it deletes model state, results and stats.
However, job notifications and user annotations are not removed.
Also, the API can be called asynchronously by setting the parameter
`wait_for_completion` to `false` (defaults to `true`). When run
that way the API returns the task id for further monitoring.
In order to prevent the job from opening while it is resetting,
a new job field has been added called `blocked`. It is an object
that contains a `reason` and the `task_id`. `reason` can take
a value from ["delete", "reset", "revert"] as all these
operations should block the job from opening. The `task_id` is also
included in order to allow tracking the task if necessary.
Finally, this commit also sets the `blocked` field when
the revert snapshot API is called as a job should not be opened
while it is reverted to a different model snapshot.
