Coverage for /pythoncovmergedfiles/medio/medio/src/airflow/build/lib/airflow/serialization/pydantic/dag_run.py: 100%

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3# distributed with this work for additional information 

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5# to you under the Apache License, Version 2.0 (the 

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8# 

9# http://www.apache.org/licenses/LICENSE-2.0 

10# 

11# Unless required by applicable law or agreed to in writing, 

12# software distributed under the License is distributed on an 

13# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY 

14# KIND, either express or implied. See the License for the 

15# specific language governing permissions and limitations 

16# under the License. 

17 

18from datetime import datetime 

19from typing import List, Optional 

20 

21from pendulum import DateTime 

22from pydantic import BaseModel as BaseModelPydantic 

23 

24from airflow.serialization.pydantic.dataset import DatasetEventPydantic 

25 

26 

27class DagRunPydantic(BaseModelPydantic): 

28 """Serializable representation of the DagRun ORM SqlAlchemyModel used by internal API.""" 

29 

30 id: int 

31 dag_id: str 

32 queued_at: Optional[datetime] 

33 execution_date: DateTime 

34 start_date: Optional[datetime] 

35 end_date: Optional[datetime] 

36 state: str 

37 run_id: str 

38 creating_job_id: Optional[int] 

39 external_trigger: bool 

40 run_type: str 

41 data_interval_start: Optional[datetime] 

42 data_interval_end: Optional[datetime] 

43 last_scheduling_decision: Optional[datetime] 

44 dag_hash: Optional[str] 

45 updated_at: datetime 

46 consumed_dataset_events: List[DatasetEventPydantic] 

47 

48 class Config: 

49 """Make sure it deals automatically with SQLAlchemy ORM classes.""" 

50 

51 orm_mode = True