# Copyright 2015-2017 Capital One Services, LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import absolute_import, division, print_function, unicode_literals
from botocore.exceptions import ClientError
from c7n.actions import BaseAction
from c7n.manager import resources
from c7n.query import QueryResourceManager
from c7n.utils import local_session, type_schema
[docs]@resources.register('ml-model')
class MLModel(QueryResourceManager):
[docs] class resource_type(object):
service = 'machinelearning'
enum_spec = ('describe_ml_models', 'Results', None)
id = 'MLModelId'
name = 'Name'
date = 'CreatedAt'
# need to specify request-mode dimension as well
# dimension = 'MLModelId'
dimension = None
type = "mlmodel"
[docs]@MLModel.action_registry.register('delete')
class DeleteMLModel(BaseAction):
"""Action to delete machine learning model
It is recommended to use a filter to avoid unwanted deletion of models
:example:
.. code-block:: yaml
policies:
- name: ml-model-delete
resource: ml-model
actions:
- delete
"""
schema = type_schema('delete')
permissions = ("machinelearning:DeleteMLModel",)
[docs] def process(self, models):
with self.executor_factory(max_workers=2) as w:
list(w.map(self.process_model, models))
[docs] def process_model(self, model):
client = local_session(
self.manager.session_factory).client('machinelearning')
try:
client.delete_ml_model(MLModelId=model['MLModelId'])
except ClientError as e:
self.log.exception(
"Exception deleting ML model:\n %s" % e)