Source code for airflow.models.log

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from sqlalchemy import Column, Integer, String, Text, Index

from airflow.models.base import Base, ID_LEN
from airflow.utils import timezone
from airflow.utils.sqlalchemy import UtcDateTime

[docs]class Log(Base): """ Used to actively log events to the database """
[docs] __tablename__ = "log"
[docs] id = Column(Integer, primary_key=True)
[docs] dttm = Column(UtcDateTime)
[docs] dag_id = Column(String(ID_LEN))
[docs] task_id = Column(String(ID_LEN))
[docs] event = Column(String(30))
[docs] execution_date = Column(UtcDateTime)
[docs] owner = Column(String(500))
[docs] extra = Column(Text)
[docs] __table_args__ = ( Index('idx_log_dag', dag_id),
) def __init__(self, event, task_instance, owner=None, extra=None, **kwargs): self.dttm = timezone.utcnow() self.event = event self.extra = extra task_owner = None if task_instance: self.dag_id = task_instance.dag_id self.task_id = task_instance.task_id self.execution_date = task_instance.execution_date task_owner = task_instance.task.owner if 'task_id' in kwargs: self.task_id = kwargs['task_id'] if 'dag_id' in kwargs: self.dag_id = kwargs['dag_id'] if 'execution_date' in kwargs: if kwargs['execution_date']: self.execution_date = kwargs['execution_date'] self.owner = owner or task_owner