cloudera.cloud.ml_workspace_access module – Grant and revoke user access to CDP Machine Learning Workspaces
Note
This module is part of the cloudera.cloud collection (version 3.0.0).
It is not included in ansible-core
.
To check whether it is installed, run ansible-galaxy collection list
.
To install it, use: ansible-galaxy collection install cloudera.cloud
.
You need further requirements to be able to use this module,
see Requirements for details.
To use it in a playbook, specify: cloudera.cloud.ml_workspace_access
.
New in cloudera.cloud 1.1.0
Synopsis
Grant and revoke user access to CDP Machine Learning Workspaces
Requirements
The below requirements are needed on the host that executes this module.
cdpy
Parameters
Parameter |
Comments |
---|---|
Specify the Cloudera Data Platform endpoint region. Default: |
|
Capture the CDP SDK debug log. Choices:
|
|
The name of the Environment for the ML Workspace |
|
The name of the ML Workspace |
|
If provided, the CDP SDK will use this value as its profile. |
|
The declarative state of the access to the ML Workspace Choices:
|
|
The cloud provider identifier for the user. For |
|
Verify the TLS certificates for the CDP endpoint. Choices:
|
Examples
# Note: These examples do not set authentication details.
# Grant access for user (and register the output to capture the kubeconfig)
- cloudera.cloud.ml_workspace_access:
name: ml-example
env: cdp-env
user: some-cloud-provider-specific-id
register: access_output
# Revoke access for user
- cloudera.cloud.ml_workspace_acces:
name: ml-k8s-example
env: cdp-env
user: some-cloud-provider-specific-id
state: absent
Return Values
Common return values are documented here, the following are the fields unique to this module:
Key |
Description |
---|---|
Returns the captured CDP SDK log. Returned: when supported |
|
Returns a list of each line of the captured CDP SDK log. Returned: when supported |
|
The information about the user’s access to the ML Workspace Returned: on success |
|
The kubeconfig file as a string Returned: always |