Python NotSkippedDep Examples

Example #1

File: not_skipped_dep.py Project: rrbarbosa/airflow

    def test_not_skipped(self):
        """
        Non-skipped task instances should pass this dep
        """
        ti = FakeTI(state=State.RUNNING)

        self.assertTrue(NotSkippedDep().is_met(ti=ti, dep_context=None))

Example #2

File: not_skipped_dep.py Project: rrbarbosa/airflow

    def test_skipped(self):
        """
        Skipped task instances should fail this dep
        """
        ti = FakeTI(state=State.SKIPPED)

        self.assertFalse(NotSkippedDep().is_met(ti=ti, dep_context=None))

Example #3

File: dep_context.py Project: FlyrInc/apache-airflow

QUEUEABLE_STATES = {
    State.FAILED,
    State.NONE,
    State.QUEUED,
    State.SCHEDULED,
    State.SKIPPED,
    State.UPSTREAM_FAILED,
    State.UP_FOR_RETRY,
    State.UP_FOR_RESCHEDULE,
}

# Context to get the dependencies that need to be met in order for a task instance to
# be backfilled.
QUEUE_DEPS = {
    NotRunningDep(),
    NotSkippedDep(),
    RunnableExecDateDep(),
    ValidStateDep(QUEUEABLE_STATES),
}

# Dependencies that need to be met for a given task instance to be able to get run by an
# executor. This class just extends QueueContext by adding dependencies for resources.
RUN_DEPS = QUEUE_DEPS | {
    DagTISlotsAvailableDep(),
    TaskConcurrencyDep(),
}

# TODO(aoen): SCHEDULER_DEPS is not coupled to actual execution in any way and
# could easily be modified or removed from the scheduler causing this dependency to become
# outdated and incorrect. This coupling should be created (e.g. via a dag_deps analog of
# ti_deps that will be used in the scheduler code) to ensure that the logic here is

Example #4

 def test_not_skipped(self):
     """
     Non-skipped task instances should pass this dep
     """
     ti = Mock(state=State.RUNNING)
     self.assertTrue(NotSkippedDep().is_met(ti=ti))

Example #5

 def test_skipped(self):
     """
     Skipped task instances should fail this dep
     """
     ti = Mock(state=State.SKIPPED)
     self.assertFalse(NotSkippedDep().is_met(ti=ti))

Example #6

# In order to be able to get queued a task must have one of these states
QUEUEABLE_STATES = {
    State.FAILED,
    State.NONE,
    State.QUEUED,
    State.SCHEDULED,
    State.SKIPPED,
    State.UPSTREAM_FAILED,
    State.UP_FOR_RETRY,
}

# Context to get the dependencies that need to be met in order for a task instance to
# be backfilled.
QUEUE_DEPS = {
    NotRunningDep(),  # 任务实例没有运行
    NotSkippedDep(),  # 任务实例没有被标记为跳过
    RunnableExecDateDep(),  # 判断任务执行时间 必须小于等于当前时间  且 小于等于结束时间
    ValidStateDep(QUEUEABLE_STATES),  # 验证任务的状态必须在队列状态中
}

# Dependencies that need to be met for a given task instance to be able to get run by an
# executor. This class just extends QueueContext by adding dependencies for resources.
RUN_DEPS = QUEUE_DEPS | {
    DagTISlotsAvailableDep(),  # 每个dag能并发执行的最大任务数依赖
    TaskConcurrencyDep(),  # 每个任务的任务实例有最大限制
}

# TODO(aoen): SCHEDULER_DEPS is not coupled to actual execution in any way and
# could easily be modified or removed from the scheduler causing this dependency to become
# outdated and incorrect. This coupling should be created (e.g. via a dag_deps analog of
# ti_deps that will be used in the scheduler code) to ensure that the logic here is