# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. from alembic.operations import Operations from sqlalchemy.engine.reflection import Inspector naming_convention = { "fk": "fk_%(table_name)s_%(column_0_name)s_%(referred_table_name)s", "uq": "uq_%(table_name)s_%(column_0_name)s", } def create_unique_constraint( op: Operations, index_id: str, table_name: str, uix_columns: list[str] ) -> None: # Get the database connection and inspector bind = op.get_bind() inspector = Inspector.from_engine(bind) # Check if the unique constraint already exists existing_constraints = inspector.get_unique_constraints(table_name) for constraint in existing_constraints: if constraint["name"] == index_id: # Constraint already exists, no need to create it return # Create the unique constraint if it doesn't exist with op.batch_alter_table( table_name, naming_convention=naming_convention ) as batch_op: batch_op.create_unique_constraint(index_id, uix_columns) def drop_unique_constraint(op: Operations, index_id: str, table_name: str) -> None: dialect = op.get_bind().dialect.name with op.batch_alter_table( table_name, naming_convention=naming_convention ) as batch_op: if dialect == "mysql": # MySQL requires specifying the type of constraint batch_op.drop_constraint(index_id, type_="unique") else: # For other databases, a standard drop_constraint call is sufficient batch_op.drop_constraint(index_id)