google.cloud/plugins/modules/gcp_mlengine_model_info.py
2024-11-05 14:06:56 -08:00

212 lines
6.6 KiB
Python

#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2017 Google
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# ----------------------------------------------------------------------------
#
# *** AUTO GENERATED CODE *** Type: MMv1 ***
#
# ----------------------------------------------------------------------------
#
# This file is automatically generated by Magic Modules and manual
# changes will be clobbered when the file is regenerated.
#
# Please read more about how to change this file at
# https://www.github.com/GoogleCloudPlatform/magic-modules
#
# ----------------------------------------------------------------------------
from __future__ import absolute_import, division, print_function
__metaclass__ = type
################################################################################
# Documentation
################################################################################
ANSIBLE_METADATA = {'metadata_version': '1.1', 'status': ["preview"], 'supported_by': 'community'}
DOCUMENTATION = '''
---
module: gcp_mlengine_model_info
description:
- Gather info for GCP Model
short_description: Gather info for GCP Model
author: Google Inc. (@googlecloudplatform)
requirements:
- python >= 2.6
- requests >= 2.18.4
- google-auth >= 1.3.0
options:
project:
description:
- The Google Cloud Platform project to use.
type: str
auth_kind:
description:
- The type of credential used.
type: str
required: true
choices:
- application
- machineaccount
- serviceaccount
- accesstoken
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
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
access_token:
description:
- An OAuth2 access token if credential type is accesstoken.
type: str
scopes:
description:
- Array of scopes to be used
type: list
elements: 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
notes:
- 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 C(GCP_SERVICE_ACCOUNT_EMAIL)
env variable.
- For authentication, you can set access_token using the C(GCP_ACCESS_TOKEN)
env variable.
- For authentication, you can set auth_kind using the C(GCP_AUTH_KIND) env variable.
- For authentication, you can set scopes using the C(GCP_SCOPES) env variable.
- Environment variables values will only be used if the playbook values are not set.
- The I(service_account_email) and I(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 = '''
resources:
description: List of resources
returned: always
type: complex
contains:
name:
description:
- The name specified for the model.
returned: success
type: str
description:
description:
- The description specified for the model when it was created.
returned: success
type: str
defaultVersion:
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
contains:
name:
description:
- The name specified for the version when it was created.
returned: success
type: str
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
onlinePredictionLogging:
description:
- If true, online prediction access logs are sent to StackDriver Logging.
returned: success
type: bool
onlinePredictionConsoleLogging:
description:
- If true, online prediction nodes send stderr and stdout streams to Stackdriver
Logging.
returned: success
type: bool
labels:
description:
- One or more labels that you can add, to organize your models.
returned: success
type: dict
'''
################################################################################
# Imports
################################################################################
from ansible_collections.google.cloud.plugins.module_utils.gcp_utils import navigate_hash, GcpSession, GcpModule
import json
################################################################################
# Main
################################################################################
def main():
module = GcpModule(argument_spec=dict(), supports_check_mode=True)
if not module.params['scopes']:
module.params['scopes'] = ['https://www.googleapis.com/auth/cloud-platform']
return_value = {'resources': fetch_list(module, collection(module))}
module.exit_json(**return_value)
def collection(module):
return "https://ml.googleapis.com/v1/projects/{project}/models".format(**module.params)
def fetch_list(module, link):
auth = GcpSession(module, 'mlengine')
return auth.list(link, return_if_object, array_name='models')
def return_if_object(module, response):
# If not found, return nothing.
if response.status_code == 404:
return None
# If no content, return nothing.
if response.status_code == 204:
return None
try:
module.raise_for_status(response)
result = response.json()
except getattr(json.decoder, 'JSONDecodeError', ValueError) as inst:
module.fail_json(msg="Invalid JSON response with error: %s" % inst)
if navigate_hash(result, ['error', 'errors']):
module.fail_json(msg=navigate_hash(result, ['error', 'errors']))
return result
if __name__ == "__main__":
main()