blob: 039d7cf23f3756cbfd0d43dac742075843da74a4 [file] [log] [blame]
#
# Licensed to the Apache Software Foundation (ASF) under one
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# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
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from logging.config import fileConfig
from alembic import context
from airflow import models, settings
from airflow.utils.db import compare_server_default, compare_type
def include_object(_, name, type_, *args):
"""Filter objects for autogenerating revisions"""
# Ignore _anything_ to do with Celery, or FlaskSession's tables
if type_ == "table" and (name.startswith("celery_") or name == "session"):
return False
else:
return True
# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config = context.config
# Interpret the config file for Python logging.
# This line sets up loggers basically.
fileConfig(config.config_file_name, disable_existing_loggers=False)
# add your model's MetaData object here
# for 'autogenerate' support
# from myapp import mymodel
# target_metadata = mymodel.Base.metadata
target_metadata = models.base.Base.metadata
# other values from the config, defined by the needs of env.py,
# can be acquired:
# my_important_option = config.get_main_option("my_important_option")
# ... etc.
def run_migrations_offline():
"""Run migrations in 'offline' mode.
This configures the context with just a URL
and not an Engine, though an Engine is acceptable
here as well. By skipping the Engine creation
we don't even need a DBAPI to be available.
Calls to context.execute() here emit the given string to the
script output.
"""
context.configure(
url=settings.SQL_ALCHEMY_CONN,
target_metadata=target_metadata,
literal_binds=True,
compare_type=compare_type,
compare_server_default=compare_server_default,
render_as_batch=True,
)
with context.begin_transaction():
context.run_migrations()
def run_migrations_online():
"""Run migrations in 'online' mode.
In this scenario we need to create an Engine
and associate a connection with the context.
"""
connectable = settings.engine
with connectable.connect() as connection:
context.configure(
connection=connection,
transaction_per_migration=True,
target_metadata=target_metadata,
compare_type=compare_type,
compare_server_default=compare_server_default,
include_object=include_object,
render_as_batch=True,
)
with context.begin_transaction():
context.run_migrations()
if context.is_offline_mode():
run_migrations_offline()
else:
run_migrations_online()