test/test_asset_response.py

# 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.asset_response import AssetResponse

class TestAssetResponse(unittest.TestCase):
    """AssetResponse unit test stubs"""

    def setUp(self):
        pass

    def tearDown(self):
        pass

    def make_instance(self, include_optional) -> AssetResponse:
        """Test AssetResponse
            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 `AssetResponse`
        """
        model = AssetResponse()
        if include_optional:
            return AssetResponse(
                aliases = [
                    airflow_client.client.models.asset_alias_response.AssetAliasResponse(
                        group = '', 
                        id = 56, 
                        name = '', )
                    ],
                consuming_tasks = [
                    airflow_client.client.models.task_inlet_asset_reference.TaskInletAssetReference(
                        created_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                        dag_id = '', 
                        task_id = '', 
                        updated_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), )
                    ],
                created_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
                extra = {
                    'key' : null
                    },
                group = '',
                id = 56,
                last_asset_event = airflow_client.client.models.last_asset_event_response.LastAssetEventResponse(
                    id = 0.0, 
                    timestamp = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), ),
                name = '',
                producing_tasks = [
                    airflow_client.client.models.task_outlet_asset_reference.TaskOutletAssetReference(
                        created_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                        dag_id = '', 
                        task_id = '', 
                        updated_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), )
                    ],
                scheduled_dags = [
                    airflow_client.client.models.dag_schedule_asset_reference.DagScheduleAssetReference(
                        created_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                        dag_id = '', 
                        updated_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), )
                    ],
                updated_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
                uri = '',
                watchers = [
                    airflow_client.client.models.asset_watcher_response.AssetWatcherResponse(
                        created_date = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                        name = '', 
                        trigger_id = 56, )
                    ]
            )
        else:
            return AssetResponse(
                aliases = [
                    airflow_client.client.models.asset_alias_response.AssetAliasResponse(
                        group = '', 
                        id = 56, 
                        name = '', )
                    ],
                consuming_tasks = [
                    airflow_client.client.models.task_inlet_asset_reference.TaskInletAssetReference(
                        created_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                        dag_id = '', 
                        task_id = '', 
                        updated_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), )
                    ],
                created_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
                group = '',
                id = 56,
                name = '',
                producing_tasks = [
                    airflow_client.client.models.task_outlet_asset_reference.TaskOutletAssetReference(
                        created_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                        dag_id = '', 
                        task_id = '', 
                        updated_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), )
                    ],
                scheduled_dags = [
                    airflow_client.client.models.dag_schedule_asset_reference.DagScheduleAssetReference(
                        created_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                        dag_id = '', 
                        updated_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), )
                    ],
                updated_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
                uri = '',
                watchers = [
                    airflow_client.client.models.asset_watcher_response.AssetWatcherResponse(
                        created_date = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                        name = '', 
                        trigger_id = 56, )
                    ],
        )
        """

    def testAssetResponse(self):
        """Test AssetResponse"""
        # inst_req_only = self.make_instance(include_optional=False)
        # inst_req_and_optional = self.make_instance(include_optional=True)

if __name__ == '__main__':
    unittest.main()