import asyncio import backend.config as settings from logging.config import fileConfig from sqlalchemy.engine import Connection from alembic import context from backend.session import engine from database.stocks.models.base import BaseStocksModel as BaseModel # 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. 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 = BaseModel.metadata print(target_metadata.schema) # 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 include_object(object, name, type_, reflected, compare_to): if type_ == 'table' and object.schema != target_metadata.schema: return False return True def get_url(): url = config.get_main_option("sqlalchemy.url").format( PG_LOGIN=settings.PG_LOGIN, PG_PASSWORD=settings.PG_PASSWORD, PG_HOST=settings.PG_HOST, PG_DATABASE=settings.PG_DATABASE, ) return url 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 = get_url() context.configure( url=url, target_metadata=target_metadata, literal_binds=True, dialect_opts={"paramstyle": "named"}, version_table_schema=target_metadata.schema, include_schemas=True ) with context.begin_transaction(): """ By default search_path is setted to "$user",public that why alembic can't create foreign keys correctly """ context.execute('SET search_path TO public') context.run_migrations() def do_run_migrations(connection: Connection) -> None: # Here we set our custom schema configuration context.configure( connection=connection, target_metadata=target_metadata, version_table="asia_alembic_version", # Table in the db which will save the current alembic version of this schema version_table_schema=target_metadata.schema, # Alternative: "public", to put version tables in seperate schema include_schemas=True, include_object=include_object, ) with context.begin_transaction(): # context.execute(f'set search_path to {target_metadata.schema}') context.run_migrations() async def run_async_migrations() -> None: """In this scenario we need to create an Engine and associate a connection with the context. """ connectable = engine async with connectable.connect() as connection: await connection.run_sync(do_run_migrations) await connectable.dispose() def run_migrations_online() -> None: """Run migrations in 'online' mode.""" asyncio.run(run_async_migrations()) if context.is_offline_mode(): run_migrations_offline() else: run_migrations_online()