120 lines
3.4 KiB
Python
120 lines
3.4 KiB
Python
import asyncio
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import backend.config as settings
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from logging.config import fileConfig
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from sqlalchemy.engine import Connection
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from alembic import context
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from backend.session import engine
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from models import BaseModel
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# this is the Alembic Config object, which provides
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# access to the values within the .ini file in use.
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config = context.config
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# Interpret the config file for Python logging.
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# This line sets up loggers basically.
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if config.config_file_name is not None:
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fileConfig(config.config_file_name)
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# add your model's MetaData object here
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# for 'autogenerate' support
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# from myapp import mymodel
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# target_metadata = mymodel.Base.metadata
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target_metadata = BaseModel.metadata
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print(target_metadata.schema)
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# other values from the config, defined by the needs of env.py,
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# can be acquired:
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# my_important_option = config.get_main_option("my_important_option")
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# ... etc.
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def include_object(object, name, type_, reflected, compare_to):
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if type_ == 'table' and object.schema != target_metadata.schema:
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return False
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return True
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def get_url():
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url = config.get_main_option("sqlalchemy.url").format(
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PG_LOGIN=settings.PG_LOGIN,
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PG_PASSWORD=settings.PG_PASSWORD,
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PG_HOST=settings.PG_HOST,
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PG_DATABASE=settings.PG_DATABASE,
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)
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return url
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def run_migrations_offline() -> None:
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"""Run migrations in 'offline' mode.
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This configures the context with just a URL
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and not an Engine, though an Engine is acceptable
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here as well. By skipping the Engine creation
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we don't even need a DBAPI to be available.
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Calls to context.execute() here emit the given string to the
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script output.
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"""
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url = get_url()
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context.configure(
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url=url,
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target_metadata=target_metadata,
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literal_binds=True,
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dialect_opts={"paramstyle": "named"},
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version_table_schema=target_metadata.schema,
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include_schemas=True
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)
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with context.begin_transaction():
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"""
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By default search_path is setted to "$user",public
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that why alembic can't create foreign keys correctly
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"""
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context.execute('SET search_path TO public')
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context.run_migrations()
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def do_run_migrations(connection: Connection) -> None:
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# Here we set our custom schema configuration
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context.configure(
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connection=connection,
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target_metadata=target_metadata,
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version_table="asia_alembic_version",
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# Table in the db which will save the current alembic version of this schema
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version_table_schema=target_metadata.schema, # Alternative: "public", to put version tables in seperate schema
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include_schemas=True,
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include_object=include_object,
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)
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with context.begin_transaction():
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# context.execute(f'set search_path to {target_metadata.schema}')
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context.run_migrations()
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async def run_async_migrations() -> None:
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"""In this scenario we need to create an Engine
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and associate a connection with the context.
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"""
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connectable = engine
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async with connectable.connect() as connection:
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await connection.run_sync(do_run_migrations)
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await connectable.dispose()
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def run_migrations_online() -> None:
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"""Run migrations in 'online' mode."""
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asyncio.run(run_async_migrations())
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if context.is_offline_mode():
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run_migrations_offline()
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else:
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run_migrations_online()
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