murano/murano/engine/system/mistralclient.py

81 lines
2.8 KiB
Python

# Copyright (c) 2015 OpenStack Foundation.
#
# 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.
import json
import eventlet
from oslo_log import log as logging
from murano.dsl import dsl
from murano.dsl import helpers
LOG = logging.getLogger(__name__)
class MistralError(Exception):
pass
@dsl.name('io.murano.system.MistralClient')
class MistralClient(object):
def __init__(self, context):
self._clients = helpers.get_environment(context).clients
def upload(self, definition):
mistral_client = self._clients.get_mistral_client()
mistral_client.workflows.create(definition)
def run(self, name, timeout=600, inputs=None, params=None):
mistral_client = self._clients.get_mistral_client()
execution = mistral_client.executions.create(workflow_name=name,
workflow_input=inputs,
params=params)
# For the fire and forget functionality - when we do not want to wait
# for the result of the run.
if timeout == 0:
return execution.id
state = execution.state
try:
# While the workflow is running we continue to wait until timeout.
with eventlet.timeout.Timeout(timeout):
while state not in ('ERROR', 'SUCCESS'):
eventlet.sleep(2)
execution = mistral_client.executions.get(execution.id)
state = execution.state
except eventlet.timeout.Timeout:
error_message = (
'Mistral run timed out. Execution id: {0}.').format(
execution.id)
raise MistralError(error_message)
if state == 'ERROR':
error_message = ('Mistral execution completed with ERROR.'
' Execution id: {0}. Output: {1}').format(
execution.id, execution.output)
raise MistralError(error_message)
# Load the JSON we got from Mistral client to dictionary.
output = json.loads(execution.output)
# Clean the returned dictionary from unnecessary data.
# We want to keep only flow level outputs.
output.pop('openstack', None)
output.pop('__execution', None)
output.pop('task', None)
return output