yt-dlp-bot/app_worker/alembic/env.py
2023-04-06 13:48:58 +03:00

96 lines
2.5 KiB
Python

import asyncio
from logging.config import fileConfig
from sqlalchemy import engine_from_config, pool
from sqlalchemy.ext.asyncio import AsyncEngine
# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
from yt_shared.config import settings
from yt_shared.db.session import Base
from yt_shared.models import * # noqa
from alembic import context
config = context.config
config.set_main_option('sqlalchemy.url', settings.SQLALCHEMY_DATABASE_URI_ASYNC)
# Interpret the config file for Python logging.
# This line sets up loggers basically.
fileConfig(config.config_file_name)
# add your model's MetaData object here
# for 'autogenerate' support
# from myapp import mymodel
# target_metadata = mymodel.Base.metadata
target_metadata = 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.
"""
url = config.get_main_option('sqlalchemy.url')
context.configure(
url=url,
target_metadata=target_metadata,
literal_binds=True,
dialect_opts={'paramstyle': 'named'},
)
with context.begin_transaction():
context.run_migrations()
def do_run_migrations(connection):
context.configure(
connection=connection,
target_metadata=target_metadata,
compare_type=True,
)
with context.begin_transaction():
context.run_migrations()
async 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 = AsyncEngine(
engine_from_config(
config.get_section(config.config_ini_section),
prefix='sqlalchemy.',
poolclass=pool.NullPool,
future=True,
)
)
async with connectable.connect() as connection:
await connection.run_sync(do_run_migrations)
await connectable.dispose()
if context.is_offline_mode():
run_migrations_offline()
else:
asyncio.run(run_migrations_online())