From 9d87f8f53378409ef082eb5eff4051ab63eb70af Mon Sep 17 00:00:00 2001 From: Samuel Baafi Boakye Date: Fri, 5 Oct 2018 12:57:32 +0000 Subject: [PATCH] airflow.models.DAG docstring mistake correction --- airflow/models.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/airflow/models.py b/airflow/models.py index 22e8d2596a95b..239a3a52638c9 100755 --- a/airflow/models.py +++ b/airflow/models.py @@ -3201,7 +3201,7 @@ def get_current(cls, dag_id, session=None): class DAG(BaseDag, LoggingMixin): """ A dag (directed acyclic graph) is a collection of tasks with directional - dependencies. A dag also has a schedule, a start end an end date + dependencies. A dag also has a schedule, a start date and an end date (optional). For each schedule, (say daily or hourly), the DAG needs to run each individual tasks as their dependencies are met. Certain tasks have the property of depending on their own past, meaning that they can't run