Version
- alembic: 1.12.0
- python: 3.11
- Sqlalchemy: 2.0.22
init alembic with official command
alembic init alembic
Which generate an alembic environment looks like:
yourproject/
alembic/
env.py
README
script.py.mako
versions/
<empty>
alembic.ini
alembic.ini
[alembic]
script_location = alembic
file_template = %%(year)d-%%(month).2d-%%(day).2d-%%(hour).2d-%%(minute).2d_%%(rev)s
prepend_sys_path = .
output_encoding = utf-8
# truncate_slug_length = 40
[post_write_hooks]
hooks = black,isort,ruff
black.type = console_scripts
black.entrypoint = black
isort.type = console_scripts
isort.entrypoint = isort
ruff.type = exec
ruff.executable = ruff
ruff.options = check --fix-only REVISION_SCRIPT_FILENAME
# Logging configuration
[loggers]
keys = root,sqlalchemy,alembic
[handlers]
keys = console
[formatters]
keys = generic
[logger_root]
level = INFO
handlers = console
qualname =
[logger_sqlalchemy]
level = INFO
handlers =
qualname = sqlalchemy.engine
[logger_alembic]
level = INFO
handlers =
qualname = alembic
[handler_console]
class = StreamHandler
args = (sys.stderr,)
level = NOTSET
formatter = generic
[formatter_generic]
format = %(levelname)-5.5s [%(name)s] %(message)s
datefmt = %H:%M:%S
env.py
import asyncio
from logging.config import fileConfig
from alembic import context
from sqlalchemy.ext.asyncio.engine import create_async_engine
from sqlalchemy.future import Connection
from yourproject.db.meta import meta
from yourproject.db.models import load_all_models
from yourproject.settings import settings
# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config = context.config
load_all_models()
# Interpret the config file for Python logging.
# This line sets up loggers basically.
if config.config_file_name is not None:
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 = meta
# 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.
# filter object from specified schema
# https://alembic.sqlalchemy.org/en/latest/autogenerate.html#omitting-schema-names-from-the-autogenerate-process
def include_name_filter(name, type_, parent_names):
if type_ == "schema":
return name == target_metadata.schema
else:
return True
async def run_migrations_offline() -> None:
"""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=str(settings.DB_URL),
target_metadata=target_metadata,
literal_binds=True,
dialect_opts={"paramstyle": "named"},
)
with context.begin_transaction():
context.run_migrations()
def do_run_migrations(connection: Connection) -> None:
"""
Run actual sync migrations.
:param connection: connection to the database.
"""
context.configure(
connection=connection,
target_metadata=target_metadata,
# The following 3 lines are required to support non-default
# database schema for our database objects
version_table_schema=target_metadata.schema,
include_schemas=True,
include_name=include_name_filter
)
with context.begin_transaction():
context.run_migrations()
async def run_migrations_online() -> None:
"""
Run migrations in 'online' mode.
In this scenario we need to create an Engine
and associate a connection with the context.
"""
connectable = create_async_engine(str(settings.DB_URL))
async with connectable.connect() as connection:
await connection.run_sync(do_run_migrations)
loop = asyncio.get_event_loop()
if context.is_offline_mode():
task = run_migrations_offline()
else:
task = run_migrations_online()
loop.run_until_complete(task)
yourproject/db/meta.py
import sqlalchemy as sa
from yourproject.settings import settings
# specified schema for all models generate with this metadata
meta = sa.MetaData(settings.DB_SCHEMA)
yourproject/db/models/__init__.py
import pkgutil
from pathlib import Path
def load_all_models() -> None:
"""Load all models from this folder."""
package_dir = Path(__file__).resolve().parent
modules = pkgutil.walk_packages(
path=[str(package_dir)],
prefix="yourproject/db/models.",
)
for module in modules:
__import__(module.name)