gcloud_alpha_ml-engine_models_add-iam-policy-binding (1)
NAME
- gcloud alpha ml-engine models add-iam-policy-binding - add IAM policy binding for a model
SYNOPSIS
-
gcloud alpha ml-engine models add-iam-policy-binding MODEL --member=MEMBER --role=ROLE [--condition=[KEY=VALUE,...] | --condition-from-file=CONDITION_FROM_FILE] [GCLOUD_WIDE_FLAG ...]
DESCRIPTION
(ALPHA) Adds a policy binding to the IAM policy of a ML engine model,
POSITIONAL ARGUMENTS
-
- MODEL
-
Name of the model.
REQUIRED FLAGS
-
- --member=MEMBER
-
The member to add the binding for. Should be of the form
user|group|serviceAccount:email or domain:domain.
Examples: user:test-user@gmail.com, group:admins@example.com, serviceAccount:test123@example.domain.com, or domain:example.domain.com.
Can also be one of the following special values:-
- ---
- allUsers - anyone who is on the internet, with or without a Google account.
- ---
- allAuthenticatedUsers - anyone who is authenticated with a Google account or a service account.
-
-
- --role=ROLE
-
Define the role of the member.
OPTIONAL FLAGS
-
-
At most one of these may be specified:
-
- --condition=[KEY=VALUE,...]
-
Condition of the binding to be added. When condition is explicitly specified as None (e.g. --condition=None), a binding without a condition is added. When --condition is specified and is not a None condition, --role cannot be a primitive role. Primitive roles are roles/editor, roles/owner, and roles/viewer.
- expression
-
(Required) Expression of the condition which evaluates to True or False. This
uses a subset of Common Expression Language syntax.
- title
-
(Required) Title for the expression, i.e. a short string describing its purpose.
- description
-
(Optional) Description for the expression. This is a longer text which describes
the expression.
NOTE: An unsatisfied condition will not allow access via this binding.
- --condition-from-file=CONDITION_FROM_FILE
-
Path to a local JSON or YAML file that defines the condition. To see available
fields, see the help for --condition.
-
-
At most one of these may be specified:
GCLOUD WIDE FLAGS
These flags are available to all commands: --account, --configuration, --flags-file, --flatten, --format, --help, --log-http, --project, --quiet, --trace-token, --user-output-enabled, --verbosity. Run $ gcloud help for details.
EXAMPLES
To add an IAM policy binding for the role of 'roles/ml.admin' for the user 'test-user@gmail.com' on a model with identifier 'my_model', run:
-
$ gcloud alpha ml-engine models add-iam-policy-binding my_model \
--member='user:test-user@gmail.com' --role='roles/ml.admin'
To add an IAM policy binding for the role of 'roles/ml.admin' to the service account 'test-proj1@example.domain.com', run:
-
$ gcloud alpha ml-engine models add-iam-policy-binding my_model \
--member='serviceAccount:test-proj1@example.domain.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 ml-engine models add-iam-policy-binding my_model \
--member='allAuthenticatedUsers' --role='roles/ml.admin'
To add an IAM policy binding which expires at the end of the year 2018 for the role of 'roles/ml.admin' and the user 'test-user@gmail.com' on a model with identifier 'my_model', run:
-
$ gcloud alpha ml-engine models add-iam-policy-binding my_model \
--member='user:test-user@gmail.com' --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 cloud.google.com/iam/docs/managing-policies for details of policy role and member types.
NOTES
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 will have to apply for early access and have your projects registered on the API whitelist to use it. To do so, contact Support at cloud.google.com/support These variants are also available:
- $ gcloud ml-engine models add-iam-policy-binding $ gcloud beta ml-engine models add-iam-policy-binding