blob: 1dd4083d2f7a623d153c82db12454d96e43d5401 [file]
# coding: utf-8
"""
Airflow API
Airflow API. All endpoints located under ``/api/v2`` can be used safely, are stable and backward compatible. Endpoints located under ``/ui`` are dedicated to the UI and are subject to breaking change depending on the need of the frontend. Users should not rely on those but use the public ones instead. **Filtering with pattern parameters.** Many list endpoints accept ``*_pattern`` and ``*_prefix_pattern`` query parameters. Unless a parameter's own description says otherwise, ``*_pattern`` is a case-insensitive substring match (SQL ``ILIKE '%term%'``) where ``%`` matches any sequence and ``_`` matches any single character (e.g. ``%customer_%``) — convenient, but it cannot use B-tree indexes, so it is slow on large tables. ``*_prefix_pattern`` matches the start of the value, is case-sensitive and index-friendly (prefer it at scale); there ``%`` and ``_`` are literal and trailing non-alphanumeric characters are stripped so the range scan stays index-compatible under locale-aware collations (e.g. ``test_`` matches values starting with ``test``, and ``s3://`` matches ``s3``). In both, ``|`` means OR (e.g. ``dag1|dag2``) and ``~`` matches everything. Regular expressions are not supported by these parameters; regex-capable endpoints expose a separate parameter.
The version of the OpenAPI document: 2
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
import unittest
from airflow_client.client.models.task_instance_response import TaskInstanceResponse
class TestTaskInstanceResponse(unittest.TestCase):
"""TaskInstanceResponse unit test stubs"""
def setUp(self):
pass
def tearDown(self):
pass
def make_instance(self, include_optional) -> TaskInstanceResponse:
"""Test TaskInstanceResponse
include_optional is a boolean, when False only required
params are included, when True both required and
optional params are included """
# uncomment below to create an instance of `TaskInstanceResponse`
"""
model = TaskInstanceResponse()
if include_optional:
return TaskInstanceResponse(
dag_display_name = '',
dag_id = '',
dag_run_id = '',
dag_version = airflow_client.client.models.dag_version_response.DagVersionResponse(
bundle_name = '',
bundle_url = '',
bundle_version = '',
created_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
dag_display_name = '',
dag_id = '',
id = '',
version_number = 56, ),
duration = 1.337,
end_date = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
executor = '',
executor_config = '',
hostname = '',
id = '',
logical_date = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
map_index = 56,
max_tries = 56,
note = '',
operator = '',
operator_name = '',
pid = 56,
pool = '',
pool_slots = 56,
priority_weight = 56,
queue = '',
queued_when = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
rendered_fields = { },
rendered_map_index = '',
run_after = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
scheduled_when = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
start_date = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
state = 'removed',
task_display_name = '',
task_id = '',
trigger = airflow_client.client.models.trigger_response.TriggerResponse(
classpath = '',
created_date = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
id = 56,
kwargs = '',
queue = '',
triggerer_id = 56, ),
triggerer_job = airflow_client.client.models.job_response.JobResponse(
dag_display_name = '',
dag_id = '',
end_date = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
executor_class = '',
hostname = '',
id = 56,
job_type = '',
latest_heartbeat = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
start_date = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
state = '',
unixname = '', ),
try_number = 56,
unixname = ''
)
else:
return TaskInstanceResponse(
dag_display_name = '',
dag_id = '',
dag_run_id = '',
executor_config = '',
id = '',
map_index = 56,
max_tries = 56,
pool = '',
pool_slots = 56,
run_after = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
task_display_name = '',
task_id = '',
try_number = 56,
)
"""
def testTaskInstanceResponse(self):
"""Test TaskInstanceResponse"""
# inst_req_only = self.make_instance(include_optional=False)
# inst_req_and_optional = self.make_instance(include_optional=True)
if __name__ == '__main__':
unittest.main()