- gcloud alpha ai-platform models add-iam-policy-binding - add IAM policy binding for a model
(ALPHA)Adds a policy binding to the IAM policy of a ML engine model, given a model ID and the binding. One binding consists of a member, a role, and an optional condition.
- POSITIONAL ARGUMENTS
- Name of the model.
- REQUIRED FLAGS
The member to add the binding for. Should be of the form
Can also be one of the following special values:
allUsers- Special identifier that represents anyone who is on the internet, with or without a Google account.
allAuthenticatedUsers- Special identifier that represents anyone who is authenticated with a Google account or a service account.
Role name to assign to the member. The role name is the complete path of a
predefined role, such as
roles/logging.viewer, or a custom role, such as
- OPTIONAL FLAGS
Google Cloud region of the regional endpoint to use for this command. If
unspecified, the command uses the global endpoint of the AI Platform Training
and Prediction API.
Learn more about regional endpoints and see a list of available regions: https://cloud.google.com/ai-platform/prediction/docs/regional-endpoints
REGIONmust be one of:
At most one of these may be specified:
A condition to include in the binding. When the condition is explicitly
--condition=None), a binding without a condition is added. When the condition is specified and is not
--rolecannot be a basic role. Basic roles are
roles/viewer. For more on conditions, refer to the conditions overview guide: https://cloud.google.com/iam/docs/conditions-overview
When using the
--conditionflag, include the following key-value pairs:
(Required) Condition expression that evaluates to True or False. This uses a
subset of Common Expression Language syntax.
If the condition expression includes a comma, use a different delimiter to separate the key-value pairs. Specify the delimiter before listing the key-value pairs. For example, to specify a colon (
:) as the delimiter, do the following:
--condition=^:^title=TITLE:expression=EXPRESSION. For more information, see https://cloud.google.com/sdk/gcloud/reference/topic/escaping.
- (Required) A short string describing the purpose of the expression.
- (Optional) Additional description for the expression.
Path to a local JSON or YAML file that defines the condition. To see available
fields, see the help for
- GCLOUD WIDE FLAGS
These flags are available to all commands:
$ gcloud helpfor details.
To add an IAM policy binding for the role of 'roles/ml.admin' for the user
'firstname.lastname@example.org' on a model with identifier 'my_model', run:
gcloud alpha ai-platform models add-iam-policy-binding my_model --member='user:email@example.com' --role='roles/ml.admin'
To add an IAM policy binding for the role of 'roles/ml.admin' to the service account 'firstname.lastname@example.org', run:
gcloud alpha ai-platform models add-iam-policy-binding my_model --member='serviceAccount:email@example.com' --role='roles/ml.admin'
To add an IAM policy binding for the role of 'roles/ml.admin' for all authenticated users on a model with identifier 'my_model', run:
gcloud alpha ai-platform models add-iam-policy-binding my_model --member='allAuthenticatedUsers' --role='roles/ml.admin'
gcloud alpha ai-platform models add-iam-policy-binding my_model --member='user:firstname.lastname@example.org' --role='roles/ml.admin' --condition='expression=request.time <timestamp("2019-01-01T00:00:00Z"),title=expires_end_of_2018,descrip\ tion=Expires at midnight on 2018-12-31'
See https://cloud.google.com/iam/docs/managing-policies for details of policy role and member types.
- This command is currently in ALPHA and may change without notice. If this command fails with API permission errors despite specifying the right project, you may be trying to access an API with an invitation-only early access allowlist. These variants are also available:
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Last updated 2021-02-16 UTC.