mistral/mistral/tests/unit/engine/test_default_engine.py

496 lines
15 KiB
Python

# Copyright 2014 - Mirantis, Inc.
# Copyright 2015 - StackStorm, Inc.
#
# 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 datetime
import mock
from oslo_config import cfg
from oslo_messaging.rpc import client as rpc_client
from oslo_utils import uuidutils
from mistral.db.v2 import api as db_api
from mistral.db.v2.sqlalchemy import models
from mistral.engine import default_engine as d_eng
from mistral import exceptions as exc
from mistral.services import workbooks as wb_service
from mistral.tests.unit import base
from mistral.tests.unit.engine import base as eng_test_base
from mistral.workflow import states
from mistral.workflow import utils as wf_utils
# Use the set_default method to set value otherwise in certain test cases
# the change in value is not permanent.
cfg.CONF.set_default('auth_enable', False, group='pecan')
WORKBOOK = """
---
version: '2.0'
name: wb
workflows:
wf:
type: reverse
input:
- param1: value1
- param2
tasks:
task1:
action: std.echo output=<% $.param1 %>
publish:
var: <% task(task1).result %>
task2:
action: std.echo output=<% $.param2 %>
requires: [task1]
"""
DATETIME_FORMAT = '%Y-%m-%d %H:%M:%S.%f'
ENVIRONMENT = {
'id': uuidutils.generate_uuid(),
'name': 'test',
'description': 'my test settings',
'variables': {
'key1': 'abc',
'key2': 123
},
'scope': 'private',
'created_at': str(datetime.datetime.utcnow()),
'updated_at': str(datetime.datetime.utcnow())
}
ENVIRONMENT_DB = models.Environment(
id=ENVIRONMENT['id'],
name=ENVIRONMENT['name'],
description=ENVIRONMENT['description'],
variables=ENVIRONMENT['variables'],
scope=ENVIRONMENT['scope'],
created_at=datetime.datetime.strptime(ENVIRONMENT['created_at'],
DATETIME_FORMAT),
updated_at=datetime.datetime.strptime(ENVIRONMENT['updated_at'],
DATETIME_FORMAT)
)
MOCK_ENVIRONMENT = mock.MagicMock(return_value=ENVIRONMENT_DB)
MOCK_NOT_FOUND = mock.MagicMock(side_effect=exc.DBEntityNotFoundError())
class DefaultEngineTest(base.DbTestCase):
def setUp(self):
super(DefaultEngineTest, self).setUp()
wb_service.create_workbook_v2(WORKBOOK)
# Note: For purposes of this test we can easily use
# simple magic mocks for engine and executor clients
self.engine = d_eng.DefaultEngine(mock.MagicMock())
def test_start_workflow(self):
wf_input = {'param1': 'Hey', 'param2': 'Hi'}
# Start workflow.
wf_ex = self.engine.start_workflow(
'wb.wf',
wf_input,
'my execution',
task_name='task2'
)
self.assertIsNotNone(wf_ex)
self.assertEqual(states.RUNNING, wf_ex.state)
self.assertEqual('my execution', wf_ex.description)
self.assertIn('__execution', wf_ex.context)
# Note: We need to reread execution to access related tasks.
wf_ex = db_api.get_workflow_execution(wf_ex.id)
self.assertEqual(1, len(wf_ex.task_executions))
task_ex = wf_ex.task_executions[0]
self.assertEqual('wb.wf', task_ex.workflow_name)
self.assertEqual('task1', task_ex.name)
self.assertEqual(states.RUNNING, task_ex.state)
self.assertIsNotNone(task_ex.spec)
self.assertDictEqual({}, task_ex.runtime_context)
# Data Flow properties.
action_execs = db_api.get_action_executions(
task_execution_id=task_ex.id
)
self.assertEqual(1, len(action_execs))
task_action_ex = action_execs[0]
self.assertIsNotNone(task_action_ex)
self.assertDictEqual({'output': 'Hey'}, task_action_ex.input)
def test_start_workflow_with_input_default(self):
wf_input = {'param2': 'value2'}
# Start workflow.
wf_ex = self.engine.start_workflow(
'wb.wf',
wf_input,
task_name='task1'
)
self.assertIsNotNone(wf_ex)
self.assertEqual(states.RUNNING, wf_ex.state)
self.assertIn('__execution', wf_ex.context)
# Note: We need to reread execution to access related tasks.
wf_ex = db_api.get_workflow_execution(wf_ex.id)
self.assertEqual(1, len(wf_ex.task_executions))
task_ex = wf_ex.task_executions[0]
self.assertEqual('wb.wf', task_ex.workflow_name)
self.assertEqual('task1', task_ex.name)
self.assertEqual(states.RUNNING, task_ex.state)
self.assertIsNotNone(task_ex.spec)
self.assertDictEqual({}, task_ex.runtime_context)
# Data Flow properties.
action_execs = db_api.get_action_executions(
task_execution_id=task_ex.id
)
self.assertEqual(1, len(action_execs))
task_action_ex = action_execs[0]
self.assertIsNotNone(task_action_ex)
self.assertDictEqual({'output': 'value1'}, task_action_ex.input)
def test_start_workflow_with_adhoc_env(self):
wf_input = {
'param1': '<% env().key1 %>',
'param2': '<% env().key2 %>'
}
env = ENVIRONMENT['variables']
# Start workflow.
wf_ex = self.engine.start_workflow(
'wb.wf',
wf_input,
env=env,
task_name='task2')
self.assertIsNotNone(wf_ex)
wf_ex = db_api.get_workflow_execution(wf_ex.id)
self.assertDictEqual(wf_ex.params.get('env', {}), env)
@mock.patch.object(db_api, "load_environment", MOCK_ENVIRONMENT)
def test_start_workflow_with_saved_env(self):
wf_input = {
'param1': '<% env().key1 %>',
'param2': '<% env().key2 %>'
}
env = ENVIRONMENT['variables']
# Start workflow.
wf_ex = self.engine.start_workflow(
'wb.wf',
wf_input,
env='test',
task_name='task2'
)
self.assertIsNotNone(wf_ex)
wf_ex = db_api.get_workflow_execution(wf_ex.id)
self.assertDictEqual(wf_ex.params.get('env', {}), env)
@mock.patch.object(db_api, "get_environment", MOCK_NOT_FOUND)
def test_start_workflow_env_not_found(self):
e = self.assertRaises(
exc.InputException,
self.engine.start_workflow,
'wb.wf',
{
'param1': '<% env().key1 %>',
'param2': 'some value'
},
env='foo',
task_name='task2'
)
self.assertEqual("Environment is not found: foo", e.message)
def test_start_workflow_with_env_type_error(self):
e = self.assertRaises(
exc.InputException,
self.engine.start_workflow,
'wb.wf',
{
'param1': '<% env().key1 %>',
'param2': 'some value'
},
env=True,
task_name='task2'
)
self.assertIn(
'Unexpected value type for environment',
e.message
)
def test_start_workflow_missing_parameters(self):
e = self.assertRaises(
exc.InputException,
self.engine.start_workflow,
'wb.wf',
None,
task_name='task2'
)
self.assertIn("Invalid input", e.message)
self.assertIn("missing=['param2']", e.message)
def test_start_workflow_unexpected_parameters(self):
e = self.assertRaises(
exc.InputException,
self.engine.start_workflow,
'wb.wf',
{
'param1': 'Hey',
'param2': 'Hi',
'unexpected_param': 'val'
},
task_name='task2'
)
self.assertIn("Invalid input", e.message)
self.assertIn("unexpected=['unexpected_param']", e.message)
def test_on_action_complete(self):
wf_input = {'param1': 'Hey', 'param2': 'Hi'}
# Start workflow.
wf_ex = self.engine.start_workflow(
'wb.wf',
wf_input,
task_name='task2'
)
self.assertIsNotNone(wf_ex)
self.assertEqual(states.RUNNING, wf_ex.state)
# Note: We need to reread execution to access related tasks.
wf_ex = db_api.get_workflow_execution(wf_ex.id)
self.assertEqual(1, len(wf_ex.task_executions))
task1_ex = wf_ex.task_executions[0]
self.assertEqual('task1', task1_ex.name)
self.assertEqual(states.RUNNING, task1_ex.state)
self.assertIsNotNone(task1_ex.spec)
self.assertDictEqual({}, task1_ex.runtime_context)
self.assertNotIn('__execution', task1_ex.in_context)
action_execs = db_api.get_action_executions(
task_execution_id=task1_ex.id
)
self.assertEqual(1, len(action_execs))
task1_action_ex = action_execs[0]
self.assertIsNotNone(task1_action_ex)
self.assertDictEqual({'output': 'Hey'}, task1_action_ex.input)
# Finish action of 'task1'.
task1_action_ex = self.engine.on_action_complete(
task1_action_ex.id,
wf_utils.Result(data='Hey')
)
self.assertIsInstance(task1_action_ex, models.ActionExecution)
self.assertEqual('std.echo', task1_action_ex.name)
self.assertEqual(states.SUCCESS, task1_action_ex.state)
# Data Flow properties.
task1_ex = db_api.get_task_execution(task1_ex.id) # Re-read the state.
self.assertDictEqual({'var': 'Hey'}, task1_ex.published)
self.assertDictEqual({'output': 'Hey'}, task1_action_ex.input)
self.assertDictEqual({'result': 'Hey'}, task1_action_ex.output)
wf_ex = db_api.get_workflow_execution(wf_ex.id)
self.assertIsNotNone(wf_ex)
self.assertEqual(states.RUNNING, wf_ex.state)
self.assertEqual(2, len(wf_ex.task_executions))
task2_ex = self._assert_single_item(
wf_ex.task_executions,
name='task2'
)
self.assertEqual(states.RUNNING, task2_ex.state)
action_execs = db_api.get_action_executions(
task_execution_id=task2_ex.id
)
self.assertEqual(1, len(action_execs))
task2_action_ex = action_execs[0]
self.assertIsNotNone(task2_action_ex)
self.assertDictEqual({'output': 'Hi'}, task2_action_ex.input)
# Finish 'task2'.
task2_action_ex = self.engine.on_action_complete(
task2_action_ex.id,
wf_utils.Result(data='Hi')
)
wf_ex = db_api.get_workflow_execution(wf_ex.id)
self.assertIsNotNone(wf_ex)
# Workflow completion check is done separate with scheduler
# but scheduler doesn't start in this test (in fact, it's just
# a DB test)so the workflow is expected to be in running state.
self.assertEqual(states.RUNNING, wf_ex.state)
self.assertIsInstance(task2_action_ex, models.ActionExecution)
self.assertEqual('std.echo', task2_action_ex.name)
self.assertEqual(states.SUCCESS, task2_action_ex.state)
# Data Flow properties.
self.assertDictEqual({'output': 'Hi'}, task2_action_ex.input)
self.assertDictEqual({}, task2_ex.published)
self.assertDictEqual({'output': 'Hi'}, task2_action_ex.input)
self.assertDictEqual({'result': 'Hi'}, task2_action_ex.output)
self.assertEqual(2, len(wf_ex.task_executions))
self._assert_single_item(wf_ex.task_executions, name='task1')
self._assert_single_item(wf_ex.task_executions, name='task2')
def test_stop_workflow_fail(self):
# Start workflow.
wf_ex = self.engine.start_workflow(
'wb.wf',
{
'param1': 'Hey',
'param2': 'Hi'
},
task_name="task2"
)
# Re-read execution to access related tasks.
wf_ex = db_api.get_workflow_execution(wf_ex.id)
self.engine.stop_workflow(wf_ex.id, 'ERROR', "Stop this!")
# Re-read from DB again
wf_ex = db_api.get_workflow_execution(wf_ex.id)
self.assertEqual('ERROR', wf_ex.state)
self.assertEqual("Stop this!", wf_ex.state_info)
def test_stop_workflow_succeed(self):
# Start workflow.
wf_ex = self.engine.start_workflow(
'wb.wf',
{
'param1': 'Hey',
'param2': 'Hi'
},
task_name="task2"
)
# Re-read execution to access related tasks.
wf_ex = db_api.get_workflow_execution(wf_ex.id)
self.engine.stop_workflow(wf_ex.id, 'SUCCESS', "Like this, done")
# Re-read from DB again
wf_ex = db_api.get_workflow_execution(wf_ex.id)
self.assertEqual('SUCCESS', wf_ex.state)
self.assertEqual("Like this, done", wf_ex.state_info)
def test_stop_workflow_bad_status(self):
wf_ex = self.engine.start_workflow(
'wb.wf',
{
'param1': 'Hey',
'param2': 'Hi'
},
task_name="task2"
)
# Re-read execution to access related tasks.
wf_ex = db_api.get_workflow_execution(wf_ex.id)
self.assertNotEqual(
'PAUSE',
self.engine.stop_workflow(wf_ex.id, 'PAUSE')
)
def test_resume_workflow(self):
# TODO(akhmerov): Implement.
pass
class DefaultEngineWithTransportTest(eng_test_base.EngineTestCase):
def test_engine_client_remote_error(self):
mocked = mock.Mock()
mocked.sync_call.side_effect = rpc_client.RemoteError(
'InputException',
'Input is wrong'
)
self.engine_client._client = mocked
self.assertRaises(
exc.InputException,
self.engine_client.start_workflow,
'some_wf',
{},
'some_description'
)
def test_engine_client_remote_error_arbitrary(self):
mocked = mock.Mock()
mocked.sync_call.side_effect = KeyError('wrong key')
self.engine_client._client = mocked
exception = self.assertRaises(
exc.MistralException,
self.engine_client.start_workflow,
'some_wf',
{},
'some_description'
)
self.assertIn('KeyError: wrong key', exception.message)