from logging.config import fileConfig from alembic import context from sqlalchemy import engine_from_config, pool from sqlmodel import SQLModel from tidb_vector.sqlalchemy import VectorType from app.core.config import settings from app.models import * # noqa from app.models.knowledge_base_scoped.table_naming import ( KB_CHUNKS_TABLE_PATTERN, KB_ENTITIES_TABLE_PATTERN, KB_RELATIONSHIPS_TABLE_PATTERN, ) # 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. 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 = None target_metadata = SQLModel.metadata def get_url(): return str(settings.SQLALCHEMY_DATABASE_URI) def include_name(name, type_, parent_names): if type_ == "table": return ( not bool(KB_CHUNKS_TABLE_PATTERN.match(name)) and not bool(KB_ENTITIES_TABLE_PATTERN.match(name)) and not bool(KB_RELATIONSHIPS_TABLE_PATTERN.match(name)) ) else: return True 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 = get_url() context.configure( url=url, target_metadata=target_metadata, include_name=include_name, literal_binds=True, compare_type=True, ) with context.begin_transaction(): context.run_migrations() 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. """ configuration = config.get_section(config.config_ini_section) configuration["sqlalchemy.url"] = get_url() connectable = engine_from_config( configuration, prefix="sqlalchemy.", poolclass=pool.NullPool, ) with connectable.connect() as connection: connection.dialect.ischema_names["vector"] = VectorType context.configure( connection=connection, target_metadata=target_metadata, include_name=include_name, compare_type=True, ) with context.begin_transaction(): context.run_migrations() if context.is_offline_mode(): run_migrations_offline() else: run_migrations_online()