blob: 97b7e3df728eeb011e1f3cfc1ec63fd1c1656653 [file] [log] [blame]
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you 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.
from __future__ import annotations
import time
import pytest
from kubernetes_tests.test_base import EXECUTOR, BaseK8STest # isort:skip (needed to workaround isort bug)
# These tests are here because only KubernetesExecutor can run the tests in
# test_kubernetes_executor.py
# Also, the skipping is necessary as there's no gain in running these tests in KubernetesExecutor
@pytest.mark.skipif(EXECUTOR == "KubernetesExecutor", reason="Does not run on KubernetesExecutor")
class TestCeleryAndLocalExecutor(BaseK8STest):
def test_integration_run_dag(self):
dag_id = "example_bash_operator"
dag_run_id, execution_date = self.start_job_in_kubernetes(dag_id, self.host)
print(f"Found the job with execution_date {execution_date}")
# Wait some time for the operator to complete
self.monitor_task(
host=self.host,
dag_run_id=dag_run_id,
dag_id=dag_id,
task_id="run_after_loop",
expected_final_state="success",
timeout=300,
)
self.ensure_dag_expected_state(
host=self.host,
execution_date=execution_date,
dag_id=dag_id,
expected_final_state="success",
timeout=300,
)
def test_integration_run_dag_with_scheduler_failure(self):
dag_id = "example_xcom"
dag_run_id, execution_date = self.start_job_in_kubernetes(dag_id, self.host)
self._delete_airflow_pod("scheduler")
time.sleep(10) # give time for pod to restart
# Wait some time for the operator to complete
self.monitor_task(
host=self.host,
dag_run_id=dag_run_id,
dag_id=dag_id,
task_id="push",
expected_final_state="success",
timeout=40, # This should fail fast if failing
)
self.monitor_task(
host=self.host,
dag_run_id=dag_run_id,
dag_id=dag_id,
task_id="puller",
expected_final_state="success",
timeout=40,
)
self.ensure_dag_expected_state(
host=self.host,
execution_date=execution_date,
dag_id=dag_id,
expected_final_state="success",
timeout=60,
)
assert self._num_pods_in_namespace("test-namespace") == 0, "failed to delete pods in other namespace"