gcp_mlengine_model_info – Gather info for GCP Model

New in version 2.9.

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
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 c(gcp_service_account_file) env variable.

  • for authentication, you can set service_account_contents using the c(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
success
The list of regions where the model is going to be deployed.
Currently only one region per model is supported .


Status

Authors

  • Google Inc. (@googlecloudplatform)

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