172 lines
4.9 KiB
Python
172 lines
4.9 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 mock
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from mistral.db.v2 import api as db_api
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from mistral.db.v2.sqlalchemy import models
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from mistral import exceptions as exc
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from mistral.lang import parser as spec_parser
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from mistral.services import workflows as wf_service
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from mistral.tests.unit import base
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from mistral.workflow import direct_workflow as d_wf
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from mistral.workflow import states
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class DirectWorkflowControllerTest(base.DbTestCase):
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def _prepare_test(self, wf_text):
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wfs = wf_service.create_workflows(wf_text)
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wf_spec = spec_parser.get_workflow_spec_by_definition_id(
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wfs[0].id,
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wfs[0].updated_at
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)
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wf_ex = models.WorkflowExecution(
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id='1-2-3-4',
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spec=wf_spec.to_dict(),
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state=states.RUNNING,
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workflow_id=wfs[0].id,
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input={},
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params={},
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context={}
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)
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self.wf_ex = wf_ex
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self.wf_spec = wf_spec
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return wf_ex
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def _create_task_execution(self, name, state):
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tasks_spec = self.wf_spec.get_tasks()
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task_ex = models.TaskExecution(
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id=self.getUniqueString('id'),
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name=name,
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spec=tasks_spec[name].to_dict(),
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state=state
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)
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self.wf_ex.task_executions.append(task_ex)
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return task_ex
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@mock.patch.object(db_api, 'get_workflow_execution')
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@mock.patch.object(db_api, 'get_task_execution')
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def test_continue_workflow(self, get_task_execution,
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get_workflow_execution):
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wf_text = """---
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version: '2.0'
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wf:
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type: direct
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tasks:
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task1:
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action: std.echo output="Hey"
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publish:
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res1: <% $.task1 %>
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on-complete:
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- task2: <% $.res1 = 'Hey' %>
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- task3: <% $.res1 = 'Not Hey' %>
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task2:
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action: std.echo output="Hi"
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task3:
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action: std.echo output="Hoy"
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"""
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wf_ex = self._prepare_test(wf_text)
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get_workflow_execution.return_value = wf_ex
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wf_ctrl = d_wf.DirectWorkflowController(wf_ex)
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# Workflow execution is in initial step. No running tasks.
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cmds = wf_ctrl.continue_workflow()
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self.assertEqual(1, len(cmds))
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cmd = cmds[0]
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self.assertIs(wf_ctrl.wf_ex, cmd.wf_ex)
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self.assertIsNotNone(cmd.task_spec)
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self.assertEqual('task1', cmd.task_spec.get_name())
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self.assertEqual(states.RUNNING, self.wf_ex.state)
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# Assume that 'task1' completed successfully.
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task1_ex = self._create_task_execution('task1', states.SUCCESS)
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task1_ex.published = {'res1': 'Hey'}
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get_task_execution.return_value = task1_ex
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task1_ex.action_executions.append(
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models.ActionExecution(
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name='std.echo',
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workflow_name='wf',
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state=states.SUCCESS,
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output={'result': 'Hey'},
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accepted=True,
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runtime_context={'index': 0}
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)
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)
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cmds = wf_ctrl.continue_workflow()
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task1_ex.processed = True
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self.assertEqual(1, len(cmds))
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self.assertEqual('task2', cmds[0].task_spec.get_name())
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self.assertEqual(states.RUNNING, self.wf_ex.state)
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self.assertEqual(states.SUCCESS, task1_ex.state)
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# Now assume that 'task2' completed successfully.
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task2_ex = self._create_task_execution('task2', states.SUCCESS)
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task2_ex.action_executions.append(
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models.ActionExecution(
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name='std.echo',
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workflow_name='wf',
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state=states.SUCCESS,
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output={'result': 'Hi'},
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accepted=True
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)
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)
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cmds = wf_ctrl.continue_workflow()
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task2_ex.processed = True
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self.assertEqual(0, len(cmds))
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def test_continue_workflow_no_start_tasks(self):
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wf_text = """---
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version: '2.0'
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wf:
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description: >
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Invalid workflow that doesn't have start tasks (tasks with
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no inbound connections).
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type: direct
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tasks:
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task1:
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on-complete: task2
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task2:
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on-complete: task1
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"""
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self.assertRaises(exc.DSLParsingException, self._prepare_test, wf_text)
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