Implementing 'continue-on' retry policy property
Implements blueprint mistral-retry-continue-on Change-Id: Idf893fdb201a05521ab2503ad756bafda95ae7d5
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@ -16,8 +16,10 @@
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from mistral.db.v2 import api as db_api
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from mistral.engine import base
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from mistral.engine import rpc
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from mistral import expressions
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from mistral.services import scheduler
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from mistral.utils import wf_trace
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from mistral.workflow import data_flow
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from mistral.workflow import states
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@ -99,7 +101,8 @@ def build_retry_policy(policies_spec):
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return RetryPolicy(
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retry.get_count(),
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retry.get_delay(),
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retry.get_break_on()
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retry.get_break_on(),
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retry.get_continue_on()
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)
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@ -245,16 +248,23 @@ class RetryPolicy(base.TaskPolicy):
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}
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}
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def __init__(self, count, delay, break_on):
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def __init__(self, count, delay, break_on, continue_on):
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self.count = count
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self.delay = delay
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self.break_on = break_on
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self._continue_on = continue_on
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def after_task_complete(self, task_ex, task_spec):
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"""Possible Cases:
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1. state = SUCCESS
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No need to move to next iteration.
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if continue_on is not specified,
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no need to move to next iteration;
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if current:count achieve retry:count then policy
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breaks the loop (regardless on continue-on condition);
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otherwise - check continue_on condition and if
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it is True - schedule the next iteration,
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otherwise policy breaks the loop.
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2. retry:count = 5, current:count = 2, state = ERROR,
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state = IDLE/DELAYED, current:count = 3
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3. retry:count = 5, current:count = 4, state = ERROR
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@ -269,19 +279,18 @@ class RetryPolicy(base.TaskPolicy):
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context_key
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)
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continue_on = expressions.evaluate(
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self._continue_on,
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data_flow.evaluate_task_outbound_context(task_ex)
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)
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task_ex.runtime_context = runtime_context
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state = task_ex.state
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if state != states.ERROR:
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if not states.is_completed(state):
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return
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wf_trace.info(
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task_ex,
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"Task '%s' [%s -> ERROR]"
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% (task_ex.name, task_ex.state)
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)
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policy_context = runtime_context[context_key]
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retry_no = 0
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@ -292,11 +301,15 @@ class RetryPolicy(base.TaskPolicy):
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retries_remain = retry_no + 1 < self.count
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if not retries_remain or self.break_on:
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continue_triggered = self._continue_on and not continue_on
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break_triggered = task_ex.state == states.ERROR and self.break_on
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if not retries_remain or break_triggered or continue_triggered:
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return
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_log_task_delay(task_ex, self.delay)
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data_flow.invalidate_task_execution_result(task_ex)
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task_ex.state = states.DELAYED
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policy_context['retry_no'] = retry_no + 1
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@ -12,8 +12,10 @@
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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 oslo.config import cfg
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from mistral.actions import std_actions
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from mistral.db.v2 import api as db_api
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from mistral.engine import policies
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from mistral import exceptions as exc
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@ -485,6 +487,83 @@ class PoliciesTest(base.EngineTestCase):
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task_ex.runtime_context['retry_task_policy']['retry_no']
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)
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@mock.patch.object(
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std_actions.EchoAction, 'run', mock.Mock(side_effect=[1, 2, 3, 4])
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)
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def test_retry_continue_on(self):
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retry_wb = """---
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version: '2.0'
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name: wb
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workflows:
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wf1:
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tasks:
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task1:
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action: std.echo output="mocked result"
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retry:
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count: 4
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delay: 1
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continue-on: <% $.task1 < 3 %>
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"""
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wb_service.create_workbook_v2(retry_wb)
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# Start workflow.
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wf_ex = self.engine.start_workflow('wb.wf1', {})
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# Note: We need to reread execution to access related tasks.
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wf_ex = db_api.get_workflow_execution(wf_ex.id)
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task_ex = wf_ex.task_executions[0]
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self._await(lambda: self.is_task_success(task_ex.id))
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self._await(lambda: self.is_execution_success(wf_ex.id))
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wf_ex = db_api.get_workflow_execution(wf_ex.id)
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task_ex = wf_ex.task_executions[0]
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self.assertEqual(
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2,
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task_ex.runtime_context['retry_task_policy']['retry_no']
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)
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def test_retry_continue_on_not_happened(self):
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retry_wb = """---
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version: '2.0'
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name: wb
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workflows:
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wf1:
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tasks:
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task1:
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action: std.echo output=4
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retry:
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count: 4
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delay: 1
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continue-on: <% $.task1 <= 3 %>
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"""
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wb_service.create_workbook_v2(retry_wb)
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# Start workflow.
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wf_ex = self.engine.start_workflow('wb.wf1', {})
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# Note: We need to reread execution to access related tasks.
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wf_ex = db_api.get_workflow_execution(wf_ex.id)
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task_ex = wf_ex.task_executions[0]
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self._await(lambda: self.is_task_success(task_ex.id))
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self._await(lambda: self.is_execution_success(wf_ex.id))
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wf_ex = db_api.get_workflow_execution(wf_ex.id)
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task_ex = wf_ex.task_executions[0]
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self.assertEqual(
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{},
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task_ex.runtime_context['retry_task_policy']
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)
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def test_retry_policy_one_line(self):
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retry_wb = """---
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version: '2.0'
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@ -85,5 +85,8 @@ class RetrySpec(base.BaseSpec):
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def get_break_on(self):
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return self._break_on
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def get_continue_on(self):
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return self._continue_on
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def get_delay(self):
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return self._delay
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@ -79,6 +79,11 @@ def _extract_execution_result(ex):
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return ex.output['result']
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def invalidate_task_execution_result(task_ex):
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for ex in task_ex.executions:
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ex.accepted = False
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def get_task_execution_result(task_ex):
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action_execs = task_ex.executions
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action_execs.sort(
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