Coverage for /pythoncovmergedfiles/medio/medio/src/airflow/airflow/models/dagpickle.py: 71%

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

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

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16# specific language governing permissions and limitations 

17# under the License. 

18from __future__ import annotations 

19 

20from typing import TYPE_CHECKING 

21 

22import dill 

23from sqlalchemy import BigInteger, Column, Integer, PickleType 

24 

25from airflow.models.base import Base 

26from airflow.utils import timezone 

27from airflow.utils.sqlalchemy import UtcDateTime 

28 

29if TYPE_CHECKING: 

30 from airflow.models.dag import DAG 

31 

32 

33class DagPickle(Base): 

34 """ 

35 Represents a version of a DAG and becomes a source of truth for a BackfillJob execution. 

36 

37 Dags can originate from different places (user repos, main repo, ...) and also get executed 

38 in different places (different executors). A pickle is a native python serialized object, 

39 and in this case gets stored in the database for the duration of the job. 

40 

41 The executors pick up the DagPickle id and read the dag definition from the database. 

42 """ 

43 

44 id = Column(Integer, primary_key=True) 

45 pickle = Column(PickleType(pickler=dill)) 

46 created_dttm = Column(UtcDateTime, default=timezone.utcnow) 

47 pickle_hash = Column(BigInteger) 

48 

49 __tablename__ = "dag_pickle" 

50 

51 def __init__(self, dag: DAG) -> None: 

52 self.dag_id = dag.dag_id 

53 if hasattr(dag, "template_env"): 

54 dag.template_env = None # type: ignore[attr-defined] 

55 self.pickle_hash = hash(dag) 

56 self.pickle = dag