255fb91ad5
Improve the error message in case a non existing task name is passed to the "task" YAQL function Change-Id: I93a33365779ba2a5301431c6769697d8b4861fae Closes-Bug: 1520930
96 lines
2.7 KiB
Python
96 lines
2.7 KiB
Python
# Copyright 2015 - Mirantis, 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 yaql
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from mistral.db.v2 import api as db_api
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from mistral.workflow import utils as wf_utils
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from oslo_serialization import jsonutils
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ROOT_CONTEXT = None
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def get_yaql_context(data_context):
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global ROOT_CONTEXT
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if not ROOT_CONTEXT:
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ROOT_CONTEXT = yaql.create_context()
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_register_functions(ROOT_CONTEXT)
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new_ctx = ROOT_CONTEXT.create_child_context()
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new_ctx['$'] = data_context
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if isinstance(data_context, dict):
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new_ctx['__env'] = data_context.get('__env')
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new_ctx['__execution'] = data_context.get('__execution')
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return new_ctx
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def _register_functions(yaql_ctx):
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yaql_ctx.register_function(env_)
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yaql_ctx.register_function(execution_)
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yaql_ctx.register_function(task_)
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yaql_ctx.register_function(json_pp_, name='json_pp')
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# Additional YAQL functions needed by Mistral.
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# If a function name ends with underscore then it doesn't need to pass
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# the name of the function when context registers it.
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def env_(context):
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return context['__env']
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def execution_(context):
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return context['__execution']
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def json_pp_(data):
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return jsonutils.dumps(
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data,
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indent=4
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).replace("\\n", "\n").replace(" \n", "\n")
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def task_(context, task_name):
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# Importing data_flow in order to break cycle dependency between modules.
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from mistral.workflow import data_flow
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wf_ex = db_api.get_workflow_execution(context['__execution']['id'])
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task_execs = wf_utils.find_task_executions_by_name(wf_ex, task_name)
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# TODO(rakhmerov): Account for multiple executions (i.e. in case of
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# cycles).
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task_ex = task_execs[-1] if len(task_execs) > 0 else None
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if not task_ex:
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raise ValueError(
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'Failed to find task execution with name: %s' % task_name
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)
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# We don't use to_dict() db model method because not all fields
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# make sense for user.
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return {
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'id': task_ex.id,
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'name': task_ex.name,
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'spec': task_ex.spec,
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'state': task_ex.state,
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'state_info': task_ex.state_info,
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'result': data_flow.get_task_execution_result(task_ex),
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'published': task_ex.published
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}
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