delowan.googlecloud.gcp_mlengine_model_info (1.0.2) — module

Install collection

Install with ansible-galaxy collection install delowan.googlecloud:==1.0.2

Add to requirements.yml

  collections:
    - name: delowan.googlecloud
      version: 1.0.2

Description

Gather info for GCP Model

Requirements

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

Usage examples

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

Inputs

    
scopes:
    description:
    - Array of scopes to be used
    elements: str
    type: list

project:
    description:
    - The Google Cloud Platform project to use.
    type: str

env_type:
    description:
    - 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.
    type: str

auth_kind:
    choices:
    - application
    - machineaccount
    - serviceaccount
    description:
    - The type of credential used.
    required: true
    type: str

service_account_file:
    description:
    - The path of a Service Account JSON file if serviceaccount is selected as type.
    type: path

service_account_email:
    description:
    - An optional service account email address if machineaccount is selected and the
      user does not wish to use the default email.
    type: str

service_account_contents:
    description:
    - The contents of a Service Account JSON file, either in a dictionary or as a JSON
      string that represents it.
    type: jsonarg

Outputs

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