A cluster lifecycle orchestrator for Airship.
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# Copyright 2017 AT&T Intellectual Property. All other rights reserved.
#
# 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.
from unittest import mock
import pytest
from shipyard_airflow.plugins import concurrency_check_operator as operator
from shipyard_airflow.plugins.concurrency_check_operator import (
ConcurrencyCheckOperator
)
from airflow.exceptions import AirflowException
COLOR_SETS = [
set(['blue', 'green']),
set(['blue', 'purple']),
set(['red', 'purple']),
set(['red', 'orange']),
set(['yellow', 'green']),
set(['yellow', 'orange']),
]
CONFLICT_SET = set(['cow', 'monkey', 'chicken'])
def test_find_conflicting_dag_set():
"""
Ensure that the right values are determined by find_conflicting_dag_set
"""
# Should not be found in the default set - no conflicts
assert operator.DAG_RUN_SELECT_RUNNING_SQL is not None
assert not operator.find_conflicting_dag_set("this_is_completely_cheese")
# Check for contents vs the COLOR_SETS
not_in_green_response_set = set(['purple', 'red', 'orange'])
response_set = operator.find_conflicting_dag_set(
dag_name='green', conflicting_dag_sets=COLOR_SETS)
assert 'blue' in response_set
assert 'yellow' in response_set
assert not_in_green_response_set.isdisjoint(response_set)
assert len(response_set) == 2
def get_executing_dags_stub_running_twice():
return [
('buffalo', 'now'),
('buffalo', 'earlier'),
('squirrel', 'ages ago'),
]
def get_executing_dags_stub():
return [
('buffalo', 'now'),
('chicken', 'earlier'),
('monkey', 'ages ago'),
]
def get_executing_dags_stub_no_conflicts():
return [
('buffalo', 'now'),
('hedgehog', 'earlier'),
('panda', 'ages ago'),
]
def test_find_conflicting_dag():
"""
Ensure that:
1) responds with a found conflict
2) responds None if there is no conflict
3) responds with the dag_id_to_check being searched for if it is running
more than once.
"""
cco = ConcurrencyCheckOperator(
conflicting_dag_set=CONFLICT_SET,
task_id='bogus')
# no conflicts
cco.get_executing_dags = get_executing_dags_stub_no_conflicts
assert cco.find_conflicting_dag('buffalo') is None
# self is running twice
cco.get_executing_dags = get_executing_dags_stub_running_twice
assert cco.find_conflicting_dag('buffalo') != 'squirrel'
assert cco.find_conflicting_dag('buffalo') == 'buffalo'
# a conflict from the list
cco.get_executing_dags = get_executing_dags_stub
assert cco.find_conflicting_dag('buffalo') != 'monkey'
assert cco.find_conflicting_dag('buffalo') == 'chicken'
@mock.patch('shipyard_airflow.plugins.concurrency_check_operator.XcomPusher')
def test_execute_exception(xcom_pusher):
"""
Run the whole execute function for testing
"""
cco = ConcurrencyCheckOperator(
conflicting_dag_set=CONFLICT_SET,
task_id='bogus')
# dag_id of cow should cause monkey to conflict.
cco.check_dag_id = 'cow'
cco.get_executing_dags = get_executing_dags_stub
try:
context = {'task_instance': None}
cco.execute(context)
pytest.fail('AirflowException should have been raised')
except AirflowException as airflow_exception:
assert 'Aborting run' in airflow_exception.args[0]
@mock.patch('shipyard_airflow.plugins.concurrency_check_operator.XcomPusher')
def test_execute_success(xcom_pusher):
"""
Run the whole execute function for testing - successfully!
"""
cco = ConcurrencyCheckOperator(
conflicting_dag_set=set(['car', 'truck']),
task_id='bogus')
# dag_id of airplane should have no conflicts
cco.check_dag_id = 'airplane'
cco.get_executing_dags = get_executing_dags_stub
try:
context = {'task_instance': None}
cco.execute(context)
assert True
except AirflowException:
pytest.fail('AirflowException should not have been raised')