| # 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.dag_run_collection_response import DAGRunCollectionResponse |
| |
| class TestDAGRunCollectionResponse(unittest.TestCase): |
| """DAGRunCollectionResponse unit test stubs""" |
| |
| def setUp(self): |
| pass |
| |
| def tearDown(self): |
| pass |
| |
| def make_instance(self, include_optional) -> DAGRunCollectionResponse: |
| """Test DAGRunCollectionResponse |
| 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 `DAGRunCollectionResponse` |
| """ |
| model = DAGRunCollectionResponse() |
| if include_optional: |
| return DAGRunCollectionResponse( |
| dag_runs = [ |
| airflow_client.client.models.dag_run_response.DAGRunResponse( |
| bundle_version = '', |
| conf = { }, |
| dag_display_name = '', |
| dag_id = '', |
| dag_run_id = '', |
| dag_versions = [ |
| 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, ) |
| ], |
| data_interval_end = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), |
| data_interval_start = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), |
| duration = 1.337, |
| end_date = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), |
| last_scheduling_decision = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), |
| logical_date = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), |
| note = '', |
| partition_date = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), |
| partition_key = '', |
| queued_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), |
| run_after = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), |
| run_type = 'backfill', |
| start_date = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), |
| state = 'queued', |
| triggered_by = null, |
| triggering_user_name = '', ) |
| ], |
| next_cursor = '', |
| previous_cursor = '', |
| total_entries = 56 |
| ) |
| else: |
| return DAGRunCollectionResponse( |
| dag_runs = [ |
| airflow_client.client.models.dag_run_response.DAGRunResponse( |
| bundle_version = '', |
| conf = { }, |
| dag_display_name = '', |
| dag_id = '', |
| dag_run_id = '', |
| dag_versions = [ |
| 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, ) |
| ], |
| data_interval_end = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), |
| data_interval_start = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), |
| duration = 1.337, |
| end_date = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), |
| last_scheduling_decision = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), |
| logical_date = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), |
| note = '', |
| partition_date = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), |
| partition_key = '', |
| queued_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), |
| run_after = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), |
| run_type = 'backfill', |
| start_date = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), |
| state = 'queued', |
| triggered_by = null, |
| triggering_user_name = '', ) |
| ], |
| ) |
| """ |
| |
| def testDAGRunCollectionResponse(self): |
| """Test DAGRunCollectionResponse""" |
| # inst_req_only = self.make_instance(include_optional=False) |
| # inst_req_and_optional = self.make_instance(include_optional=True) |
| |
| if __name__ == '__main__': |
| unittest.main() |
