evo-ai/migrations/env.py

117 lines
3.3 KiB
Python

import asyncio
from logging.config import fileConfig
from sqlalchemy import engine_from_config
from sqlalchemy import pool
from sqlalchemy.ext.asyncio import create_async_engine
from sqlalchemy.ext.asyncio import AsyncEngine
from alembic import context
from src.models.models import Base
from src.config.settings import settings
# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config = context.config
# Sobrescreve a URL do banco de dados com a definida nas configurações
config.set_main_option("sqlalchemy.url", settings.POSTGRES_CONNECTION_STRING)
# 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 = [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.
# Lista de tabelas a serem ignoradas na geração automática de migrações
exclude_tables = ["sessions", "events", "app_states", "user_states"]
def include_object(object, name, type_, reflected, compare_to):
"""
Função de filtro para excluir determinadas tabelas da geração automática de migrações
"""
if type_ == "table" and name in exclude_tables:
return False
return True
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.
"""
url = config.get_main_option("sqlalchemy.url")
context.configure(
url=url,
target_metadata=target_metadata,
literal_binds=True,
dialect_opts={"paramstyle": "named"},
include_object=include_object,
)
with context.begin_transaction():
context.run_migrations()
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 = context.config.attributes.get("connection", None)
if connectable is None:
connectable = create_async_engine(
context.config.get_main_option("sqlalchemy.url").replace(
"postgresql://", "postgresql+asyncpg://"
),
poolclass=pool.NullPool,
future=True,
)
if isinstance(connectable, AsyncEngine):
asyncio.run(run_async_migrations(connectable))
else:
do_run_migrations(connectable)
async def run_async_migrations(connectable):
async with connectable.connect() as connection:
await connection.run_sync(do_run_migrations)
await connectable.dispose()
def do_run_migrations(connection):
context.configure(
connection=connection,
target_metadata=target_metadata,
compare_type=True,
include_object=include_object,
)
with context.begin_transaction():
context.run_migrations()
run_migrations_online()