Source code for airflow.models.log
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from sqlalchemy import Column, Index, Integer, String, Text, text
from airflow.models.base import Base, StringID
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(StringID()) 
[docs]    task_id = Column(StringID()) 
[docs]    map_index = Column(Integer, server_default=text('NULL')) 
[docs]    event = Column(String(30)) 
[docs]    execution_date = Column(UtcDateTime) 
[docs]    owner = Column(String(500)) 
[docs]    __table_args__ = (
        Index('idx_log_dag', dag_id),
        Index('idx_log_event', event), 
    )
    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
            self.map_index = task_instance.map_index
            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 kwargs.get('execution_date'):
            self.execution_date = kwargs['execution_date']
        if 'map_index' in kwargs:
            self.map_index = kwargs['map_index']
        self.owner = owner or task_owner