13ec6e8b2c
In py2 filter returns list, but in py3 it returns iterator. Change-Id: I71db21027bab11c8de715d39e71d0f6317a3f9e0 Partially-Implements: blueprint mistral-py3
293 lines
9.1 KiB
Python
293 lines
9.1 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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from oslo_log import log as logging
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from mistral import exceptions as exc
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from mistral import expressions as expr
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from mistral import utils
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from mistral.workflow import base
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from mistral.workflow import commands
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from mistral.workflow import data_flow
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from mistral.workflow import states
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from mistral.workflow import utils as wf_utils
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LOG = logging.getLogger(__name__)
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class DirectWorkflowController(base.WorkflowController):
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"""'Direct workflow' handler.
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This handler implements the workflow pattern which is based on
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direct transitions between tasks, i.e. after each task completion
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a decision should be made which tasks should run next based on
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result of task execution.
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Note, that tasks can run in parallel. For example, if there's a workflow
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consisting of three tasks 'A', 'B' and 'C' where 'A' starts first then
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'B' and 'C' can start second if certain associated with transition
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'A'->'B' and 'A'->'C' evaluate to true.
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"""
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__workflow_type__ = "direct"
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def _get_upstream_task_executions(self, task_spec):
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return list(
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filter(
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lambda t_e: self._is_upstream_task_execution(task_spec, t_e),
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wf_utils.find_task_executions_by_specs(
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self.wf_ex,
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self.wf_spec.find_inbound_task_specs(task_spec)
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)
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)
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)
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def _is_upstream_task_execution(self, t_spec, t_ex_candidate):
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if not states.is_completed(t_ex_candidate.state):
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return False
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if not t_spec.get_join():
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return not t_ex_candidate.processed
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return self._triggers_join(
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t_spec,
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self.wf_spec.get_tasks()[t_ex_candidate.name]
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)
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def _find_next_commands(self):
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cmds = super(DirectWorkflowController, self)._find_next_commands()
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if not self.wf_ex.task_executions:
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return self._find_start_commands()
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task_execs = [
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t_ex for t_ex in self.wf_ex.task_executions
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if states.is_completed(t_ex.state) and not t_ex.processed
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]
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for t_ex in task_execs:
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cmds.extend(self._find_next_commands_for_task(t_ex))
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return cmds
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def _find_start_commands(self):
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return [
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commands.RunTask(
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self.wf_ex,
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t_s,
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self._get_task_inbound_context(t_s)
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)
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for t_s in self.wf_spec.find_start_tasks()
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]
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def _find_next_commands_for_task(self, task_ex):
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"""Finds next commands based on the state of the given task.
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:param task_ex: Task execution for which next commands need
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to be found.
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:return: List of workflow commands.
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"""
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cmds = []
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for t_n in self._find_next_task_names(task_ex):
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t_s = self.wf_spec.get_tasks()[t_n]
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if not (t_s or t_n in commands.RESERVED_CMDS):
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raise exc.WorkflowException("Task '%s' not found." % t_n)
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elif not t_s:
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t_s = self.wf_spec.get_tasks()[task_ex.name]
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cmd = commands.create_command(
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t_n,
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self.wf_ex,
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t_s,
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self._get_task_inbound_context(t_s)
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)
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# NOTE(xylan): Decide whether or not a join task should run
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# immediately.
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if self._is_unsatisfied_join(cmd):
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cmd.wait_flag = True
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cmds.append(cmd)
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# We need to remove all "join" tasks that have already started
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# (or even completed) to prevent running "join" tasks more than
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# once.
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cmds = self._remove_started_joins(cmds)
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LOG.debug("Found commands: %s" % cmds)
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return cmds
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# TODO(rakhmerov): Need to refactor this method to be able to pass tasks
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# whose contexts need to be merged.
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def evaluate_workflow_final_context(self):
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ctx = {}
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for t_ex in self._find_end_tasks():
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ctx = utils.merge_dicts(
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ctx,
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data_flow.evaluate_task_outbound_context(t_ex)
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)
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return ctx
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def is_error_handled_for(self, task_ex):
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return bool(self.wf_spec.get_on_error_clause(task_ex.name))
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def all_errors_handled(self):
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for t_ex in wf_utils.find_error_task_executions(self.wf_ex):
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if not self.wf_spec.get_on_error_clause(t_ex.name):
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return False
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return True
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def _find_end_tasks(self):
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return list(
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filter(
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lambda t_ex: not self._has_outbound_tasks(t_ex),
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wf_utils.find_successful_task_executions(self.wf_ex)
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)
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)
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def _has_outbound_tasks(self, task_ex):
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# In order to determine if there are outbound tasks we just need
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# to calculate next task names (based on task outbound context)
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# and remove all engine commands. To do the latter it's enough to
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# check if there's a corresponding task specification for a task name.
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return bool([
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t_name for t_name in self._find_next_task_names(task_ex)
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if self.wf_spec.get_tasks()[t_name]
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])
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def _find_next_task_names(self, task_ex):
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t_state = task_ex.state
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t_name = task_ex.name
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ctx = data_flow.evaluate_task_outbound_context(task_ex)
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t_names = []
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if states.is_completed(t_state):
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t_names += self._find_next_task_names_for_clause(
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self.wf_spec.get_on_complete_clause(t_name),
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ctx
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)
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if t_state == states.ERROR:
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t_names += self._find_next_task_names_for_clause(
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self.wf_spec.get_on_error_clause(t_name),
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ctx
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)
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elif t_state == states.SUCCESS:
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t_names += self._find_next_task_names_for_clause(
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self.wf_spec.get_on_success_clause(t_name),
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ctx
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)
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return t_names
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@staticmethod
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def _find_next_task_names_for_clause(clause, ctx):
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"""Finds next task(command) names base on given {name: condition}
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dictionary.
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:param clause: Dictionary {task_name: condition} taken from
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'on-complete', 'on-success' or 'on-error' clause.
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:param ctx: Context that clause expressions should be evaluated
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against of.
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:return: List of task(command) names.
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"""
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if not clause:
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return []
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return [
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t_name
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for t_name, condition in clause
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if not condition or expr.evaluate(condition, ctx)
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]
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def _remove_started_joins(self, cmds):
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return list(
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filter(lambda cmd: not self._is_started_join(cmd), cmds)
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)
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def _is_started_join(self, cmd):
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if not (isinstance(cmd, commands.RunTask) and
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cmd.task_spec.get_join()):
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return False
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return wf_utils.find_task_execution_not_state(
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self.wf_ex,
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cmd.task_spec,
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states.WAITING
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)
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def _is_unsatisfied_join(self, cmd):
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if not isinstance(cmd, commands.RunTask):
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return False
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task_spec = cmd.task_spec
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join_expr = task_spec.get_join()
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if not join_expr:
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return False
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in_task_specs = self.wf_spec.find_inbound_task_specs(task_spec)
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if not in_task_specs:
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return False
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# We need to count a number of triggering inbound transitions.
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num = len([1 for in_t_s in in_task_specs
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if self._triggers_join(task_spec, in_t_s)])
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# If "join" is configured as a number.
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if isinstance(join_expr, int) and num < join_expr:
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return True
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if join_expr == 'all' and len(in_task_specs) > num:
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return True
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if join_expr == 'one' and num == 0:
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return True
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return False
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# TODO(rakhmerov): Method signature is incorrect given that
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# we may have multiple task executions for a task. It should
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# accept inbound task execution rather than a spec.
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def _triggers_join(self, join_task_spec, inbound_task_spec):
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in_t_execs = wf_utils.find_task_executions_by_spec(
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self.wf_ex,
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inbound_task_spec
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)
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# TODO(rakhmerov): Temporary hack. See the previous comment.
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in_t_ex = in_t_execs[-1]
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if not in_t_ex or not states.is_completed(in_t_ex.state):
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return False
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return list(
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filter(
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lambda t_name: join_task_spec.get_name() == t_name,
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self._find_next_task_names(in_t_ex)
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)
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)
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