Source code for airflow.models.log
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from sqlalchemy import Column, Index, Integer, String, Text
from airflow.models.base import COLLATION_ARGS, ID_LEN, Base
from airflow.utils import timezone
from airflow.utils.sqlalchemy import UtcDateTime
[docs]class Log(Base):
"""Used to actively log events to the database"""
[docs] id = Column(Integer, primary_key=True)
[docs] dttm = Column(UtcDateTime)
[docs] dag_id = Column(String(ID_LEN, **COLLATION_ARGS))
[docs] task_id = Column(String(ID_LEN, **COLLATION_ARGS))
[docs] event = Column(String(30))
[docs] execution_date = Column(UtcDateTime)
[docs] owner = Column(String(500))
[docs] __table_args__ = (Index('idx_log_dag', dag_id),)
def __init__(self, event, task_instance=None, 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