78 lines
2.8 KiB
Python
78 lines
2.8 KiB
Python
# Copyright (c) 2015 OpenStack Foundation.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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# implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import json
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import eventlet
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import murano.dsl.helpers as helpers
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import murano.dsl.murano_class as murano_class
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import murano.dsl.murano_object as murano_object
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import murano.openstack.common.log as logging
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LOG = logging.getLogger(__name__)
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class MistralError(Exception):
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pass
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@murano_class.classname('io.murano.system.MistralClient')
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class MistralClient(murano_object.MuranoObject):
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def initialize(self, _context):
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self._clients = helpers.get_environment(_context).clients
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def run(self, _context, name, timeout=600, inputs=None, params=None):
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mistral_client = self._clients.get_mistral_client(_context)
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execution = mistral_client.executions.create(workflow_name=name,
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workflow_input=inputs,
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params=params)
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# For the fire and forget functionality - when we do not want to wait
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# for the result of the run.
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if timeout == 0:
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return execution.id
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state = execution.state
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try:
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# While the workflow is running we continue to wait until timeout.
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with eventlet.timeout.Timeout(timeout):
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while state not in ('ERROR', 'SUCCESS'):
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eventlet.sleep(2)
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execution = mistral_client.executions.get(execution.id)
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state = execution.state
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except eventlet.timeout.Timeout:
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error_message = (
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'Mistral run timed out. Execution id: {0}.').format(
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execution.id)
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raise MistralError(error_message)
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if state == 'ERROR':
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error_message = ('Mistral execution completed with ERROR.'
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' Execution id: {0}. Output: {1}').format(
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execution.id, execution.output)
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raise MistralError(error_message)
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# Load the JSON we got from Mistral client to dictionary.
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output = json.loads(execution.output)
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# Clean the returned dictionary from unnecessary data.
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# We want to keep only flow level outputs.
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output.pop('openstack', None)
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output.pop('__execution', None)
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output.pop('task', None)
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return output
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