93 lines
2.7 KiB
Python
93 lines
2.7 KiB
Python
# Copyright 2016 - StackStorm, Inc.
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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 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 copy
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import six
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from oslo_log import log as logging
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from mistral.db.v2 import api as db_api
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from mistral.engine import utils as eng_utils
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from mistral.utils import wf_trace
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from mistral.workbook import parser as spec_parser
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from mistral.workflow import data_flow
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from mistral.workflow import states
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LOG = logging.getLogger(__name__)
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def canonize_workflow_params(params):
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# Resolve environment parameter.
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env = params.get('env', {})
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if not isinstance(env, dict) and not isinstance(env, six.string_types):
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raise ValueError(
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'Unexpected type for environment [environment=%s]' % str(env)
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)
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if isinstance(env, six.string_types):
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env_db = db_api.get_environment(env)
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env = env_db.variables
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params['env'] = env
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return params
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def _create_workflow_execution(wf_def, wf_spec, wf_input, desc, params):
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wf_ex = db_api.create_workflow_execution({
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'name': wf_def.name,
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'description': desc,
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'workflow_name': wf_def.name,
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'workflow_id': wf_def.id,
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'spec': wf_spec.to_dict(),
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'params': params or {},
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'state': states.IDLE,
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'input': wf_input or {},
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'output': {},
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'context': copy.deepcopy(wf_input) or {},
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'task_execution_id': params.get('task_execution_id'),
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'runtime_context': {
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'with_items_index': params.get('with_items_index', 0)
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},
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})
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data_flow.add_openstack_data_to_context(wf_ex)
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data_flow.add_execution_to_context(wf_ex)
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data_flow.add_environment_to_context(wf_ex)
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data_flow.add_workflow_variables_to_context(wf_ex, wf_spec)
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return wf_ex
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def create_workflow_execution(wf_identifier, wf_input, description, params):
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params = canonize_workflow_params(params)
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wf_def = db_api.get_workflow_definition(wf_identifier)
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wf_spec = spec_parser.get_workflow_spec(wf_def.spec)
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eng_utils.validate_input(wf_def, wf_input, wf_spec)
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wf_ex = _create_workflow_execution(
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wf_def,
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wf_spec,
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wf_input,
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description,
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params
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)
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wf_trace.info(wf_ex, "Starting workflow: '%s'" % wf_identifier)
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return wf_ex.id
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