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google.cloud/plugins/modules/gcp_mlengine_model.py
The Magician 459190f394 ML Engine: Models in Ansible (#313) 
Signed-off-by: Modular Magician <magic-modules@google.com>
2019-09-04 18:04:12 -07:00

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#!/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 *** AUTO GENERATED CODE ***
#
# ----------------------------------------------------------------------------
#
# 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
description:
- Represents a machine learning solution.
- A model can have multiple versions, each of which is a deployed, trained model ready
to receive prediction requests. The model itself is just a container.
short_description: Creates a GCP Model
version_added: 2.9
author: Google Inc. (@googlecloudplatform)
requirements:
- python >= 2.6
- requests >= 2.18.4
- google-auth >= 1.3.0
options:
state:
description:
- Whether the given object should exist in GCP
choices:
- present
- absent
default: present
name:
description:
- The name specified for the model.
required: true
type: str
description:
description:
- The description specified for the model when it was created.
required: false
type: str
default_version:
description:
- The default version of the model. This version will be used to handle prediction
requests that do not specify a version.
required: false
type: dict
suboptions:
name:
description:
- The name specified for the version when it was created.
required: false
type: str
regions:
description:
- The list of regions where the model is going to be deployed.
- Currently only one region per model is supported .
required: false
type: list
online_prediction_logging:
description:
- If true, online prediction access logs are sent to StackDriver Logging.
required: false
type: bool
online_prediction_console_logging:
description:
- If true, online prediction nodes send stderr and stdout streams to Stackdriver
Logging.
required: false
type: bool
labels:
description:
- One or more labels that you can add, to organize your models.
required: false
type: dict
extends_documentation_fragment: gcp
'''
EXAMPLES = '''
- name: create a model
gcp_mlengine_model:
name: "{{ resource_name | replace('-', '_') }}"
description: My model
regions:
- us-central1
project: test_project
auth_kind: serviceaccount
service_account_file: "/tmp/auth.pem"
state: present
'''
RETURN = '''
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.module_utils.gcp_utils import navigate_hash, GcpSession, GcpModule, GcpRequest, remove_nones_from_dict, replace_resource_dict
import json
################################################################################
# Main
################################################################################
def main():
"""Main function"""
module = GcpModule(
argument_spec=dict(
state=dict(default='present', choices=['present', 'absent'], type='str'),
name=dict(required=True, type='str'),
description=dict(type='str'),
default_version=dict(type='dict', options=dict(name=dict(type='str'))),
regions=dict(type='list', elements='str'),
online_prediction_logging=dict(type='bool'),
online_prediction_console_logging=dict(type='bool'),
labels=dict(type='dict'),
)
)
if not module.params['scopes']:
module.params['scopes'] = ['https://www.googleapis.com/auth/cloud-platform']
state = module.params['state']
fetch = fetch_resource(module, self_link(module))
changed = False
if fetch:
if state == 'present':
if is_different(module, fetch):
update(module, self_link(module))
fetch = fetch_resource(module, self_link(module))
changed = True
else:
delete(module, self_link(module))
fetch = {}
changed = True
else:
if state == 'present':
fetch = create(module, collection(module))
changed = True
else:
fetch = {}
fetch.update({'changed': changed})
module.exit_json(**fetch)
def create(module, link):
auth = GcpSession(module, 'mlengine')
return return_if_object(module, auth.post(link, resource_to_request(module)))
def update(module, link):
delete(module, self_link(module))
create(module, collection(module))
def delete(module, link):
auth = GcpSession(module, 'mlengine')
return return_if_object(module, auth.delete(link))
def resource_to_request(module):
request = {
u'name': module.params.get('name'),
u'description': module.params.get('description'),
u'defaultVersion': ModelDefaultversion(module.params.get('default_version', {}), module).to_request(),
u'regions': module.params.get('regions'),
u'onlinePredictionLogging': module.params.get('online_prediction_logging'),
u'onlinePredictionConsoleLogging': module.params.get('online_prediction_console_logging'),
u'labels': module.params.get('labels'),
}
return_vals = {}
for k, v in request.items():
if v or v is False:
return_vals[k] = v
return return_vals
def fetch_resource(module, link, allow_not_found=True):
auth = GcpSession(module, 'mlengine')
return return_if_object(module, auth.get(link), allow_not_found)
def self_link(module):
return "https://ml.googleapis.com/v1/projects/{project}/models/{name}".format(**module.params)
def collection(module):
return "https://ml.googleapis.com/v1/projects/{project}/models".format(**module.params)
def return_if_object(module, response, allow_not_found=False):
# If not found, return nothing.
if allow_not_found and 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):
module.fail_json(msg="Invalid JSON response with error: %s" % response.text)
result = decode_response(result, module)
if navigate_hash(result, ['error', 'errors']):
module.fail_json(msg=navigate_hash(result, ['error', 'errors']))
return result
def is_different(module, response):
request = resource_to_request(module)
response = response_to_hash(module, response)
request = decode_response(request, module)
# Remove all output-only from response.
response_vals = {}
for k, v in response.items():
if k in request:
response_vals[k] = v
request_vals = {}
for k, v in request.items():
if k in response:
request_vals[k] = v
return GcpRequest(request_vals) != GcpRequest(response_vals)
# Remove unnecessary properties from the response.
# This is for doing comparisons with Ansible's current parameters.
def response_to_hash(module, response):
return {
u'name': response.get(u'name'),
u'description': response.get(u'description'),
u'defaultVersion': ModelDefaultversion(response.get(u'defaultVersion', {}), module).from_response(),
u'regions': response.get(u'regions'),
u'onlinePredictionLogging': response.get(u'onlinePredictionLogging'),
u'onlinePredictionConsoleLogging': response.get(u'onlinePredictionConsoleLogging'),
u'labels': response.get(u'labels'),
}
# Short names are given (and expected) by the API
# but are returned as full names.
def decode_response(response, module):
response['name'] = response['name'].split('/')[-1]
return response
class ModelDefaultversion(object):
def __init__(self, request, module):
self.module = module
if request:
self.request = request
else:
self.request = {}
def to_request(self):
return remove_nones_from_dict({u'name': self.request.get('name')})
def from_response(self):
return remove_nones_from_dict({u'name': self.request.get(u'name')})
if __name__ == '__main__':
main()
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