potiuk commented on a change in pull request #7484: [AIRFLOW-6864][depends on 
6863] Make airflow/jobs pylint compatible
URL: https://github.com/apache/airflow/pull/7484#discussion_r383019767
 
 

 ##########
 File path: airflow/models/dagrun.py
 ##########
 @@ -31,21 +31,26 @@
 from airflow.ti_deps.dep_context import DepContext
 from airflow.ti_deps.dependencies import SCHEDULEABLE_STATES
 from airflow.utils import timezone
-from airflow.utils.jobs_helpers import BACKFILL_JOB_PREFIX
 from airflow.utils.log.logging_mixin import LoggingMixin
 from airflow.utils.session import provide_session
 from airflow.utils.sqlalchemy import UtcDateTime
 from airflow.utils.state import State
 
 
+class DagRunType:
+    """Class with DagRun types"""
+    BACKFILL_JOB = "backfill_"
+    SCHEDULED = "scheduled__"
 
 Review comment:
   So maybe it's the right time to introduce the fix we talked about with Ash. 
There should be a method "load_all_models()" that should import all models from 
the DB (note ! just import - do nothing else). This method should be called in 
resetdb() so that all models can be loaded into sqlalchemy and register there. 
Note that there is a hack already implemented by me where I artificially add 
two deleted tables (USERS and another one) to the sqlalchemy so that all 
migration scenarios should work - these two lines should also be in the 
"load_all_models()" method.

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