google.cloud.gcp_mlengine_model_info – Gather info for GCP Model

Note

This plugin is part of the google.cloud collection (version 1.0.2).

You might already have this collection installed if you are using the ansible package. 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 google.cloud.

To use it in a playbook, specify: google.cloud.gcp_mlengine_model_info.

Synopsis

Gather info for GCP Model

Requirements

The below requirements are needed on the host that executes this module.

python >= 2.6
requests >= 2.18.4
google-auth >= 1.3.0

Parameters

Parameter	Choices/Defaults	Comments
auth_kind string / required	Choices: application machineaccount serviceaccount	The type of credential used.
env_type string		Specifies which Ansible environment you're running this module within. This should not be set unless you know what you're doing. This only alters the User Agent string for any API requests.
project string		The Google Cloud Platform project to use.
scopes list / elements=string		Array of scopes to be used
service_account_contents jsonarg		The contents of a Service Account JSON file, either in a dictionary or as a JSON string that represents it.
service_account_email string		An optional service account email address if machineaccount is selected and the user does not wish to use the default email.
service_account_file path		The path of a Service Account JSON file if serviceaccount is selected as type.

Notes

Note

for authentication, you can set service_account_file using the gcp_service_account_file env variable.
for authentication, you can set service_account_contents using the GCP_SERVICE_ACCOUNT_CONTENTS env variable.
For authentication, you can set service_account_email using the GCP_SERVICE_ACCOUNT_EMAIL env variable.
For authentication, you can set auth_kind using the GCP_AUTH_KIND env variable.
For authentication, you can set scopes using the GCP_SCOPES env variable.
Environment variables values will only be used if the playbook values are not set.
The service_account_email and service_account_file options are mutually exclusive.

Examples

- name: get info on a model
  gcp_mlengine_model_info:
    project: test_project
    auth_kind: serviceaccount
    service_account_file: "/tmp/auth.pem"

Return Values

Common return values are documented here, the following are the fields unique to this module:

Key			Returned	Description
resources complex			always	List of resources
	defaultVersion complex		success	The default version of the model. This version will be used to handle prediction requests that do not specify a version.
		name string	success	The name specified for the version when it was created.
	description string		success	The description specified for the model when it was created.
	labels dictionary		success	One or more labels that you can add, to organize your models.
	name string		success	The name specified for the model.
	onlinePredictionConsoleLogging boolean		success	If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging.
	onlinePredictionLogging boolean		success	If true, online prediction access logs are sent to StackDriver Logging.
	regions list / elements=string		success	The list of regions where the model is going to be deployed. Currently only one region per model is supported .

Authors

Google Inc. (@googlecloudplatform)

© 2012–2018 Michael DeHaan
© 2018–2021 Red Hat, Inc.
Licensed under the GNU General Public License version 3.
https://docs.ansible.com/ansible/latest/collections/google/cloud/gcp_mlengine_model_info_module.html

Docs

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