# mmc/src/common/database/db_migration.py from sqlalchemy import inspect from sqlalchemy.schema import AddColumn, CreateIndex from src.common.database.sqlalchemy_models import Base, get_engine from src.common.logger import get_logger logger = get_logger("db_migration") async def check_and_migrate_database(): """ 异步检查数据库结构并自动迁移。 - 自动创建不存在的表。 - 自动为现有表添加缺失的列。 - 自动为现有表创建缺失的索引。 """ logger.info("正在检查数据库结构并执行自动迁移...") engine = await get_engine() async with engine.connect() as connection: # 在同步上下文中运行inspector操作 def get_inspector(sync_conn): return inspect(sync_conn) inspector = await connection.run_sync(get_inspector) # 在同步lambda中传递inspector db_table_names = await connection.run_sync(lambda conn: set(inspector.get_table_names(conn))) # 1. 首先处理表的创建 tables_to_create = [] for table_name, table in Base.metadata.tables.items(): if table_name not in db_table_names: tables_to_create.append(table) if tables_to_create: logger.info(f"发现 {len(tables_to_create)} 个不存在的表,正在创建...") try: # 一次性创建所有缺失的表 await connection.run_sync( lambda sync_conn: Base.metadata.create_all(sync_conn, tables=tables_to_create) ) for table in tables_to_create: logger.info(f"表 '{table.name}' 创建成功。") db_table_names.add(table.name) # 将新创建的表添加到集合中 except Exception as e: logger.error(f"创建表时失败: {e}", exc_info=True) # 2. 然后处理现有表的列和索引的添加 for table_name, table in Base.metadata.tables.items(): if table_name not in db_table_names: logger.warning(f"跳过检查表 '{table_name}',因为它在创建步骤中可能已失败。") continue logger.debug(f"正在检查表 '{table_name}' 的列和索引...") try: # 检查并添加缺失的列 db_columns = await connection.run_sync( lambda conn: {col["name"] for col in inspector.get_columns(table_name, conn)} ) model_columns = {col.name for col in table.c} missing_columns = model_columns - db_columns if missing_columns: logger.info(f"在表 '{table_name}' 中发现缺失的列: {', '.join(missing_columns)}") async with connection.begin() as trans: for column_name in missing_columns: try: column = table.c[column_name] add_column_ddl = AddColumn(table_name, column) await connection.execute(add_column_ddl) logger.info(f"成功向表 '{table_name}' 添加列 '{column_name}'。") except Exception as e: logger.error( f"向表 '{table_name}' 添加列 '{column_name}' 失败: {e}", exc_info=True, ) await trans.rollback() break # 如果一列失败,则停止处理此表的其他列 else: logger.info(f"表 '{table_name}' 的列结构一致。") # 检查并创建缺失的索引 db_indexes = await connection.run_sync( lambda conn: {idx["name"] for idx in inspector.get_indexes(table_name, conn)} ) model_indexes = {idx.name for idx in table.indexes} missing_indexes = model_indexes - db_indexes if missing_indexes: logger.info(f"在表 '{table_name}' 中发现缺失的索引: {', '.join(missing_indexes)}") async with connection.begin() as trans: for index_name in missing_indexes: try: index_obj = next((idx for idx in table.indexes if idx.name == index_name), None) if index_obj is not None: await connection.execute(CreateIndex(index_obj)) logger.info(f"成功为表 '{table_name}' 创建索引 '{index_name}'。") except Exception as e: logger.error( f"为表 '{table_name}' 创建索引 '{index_name}' 失败: {e}", exc_info=True, ) await trans.rollback() break # 如果一个索引失败,则停止处理此表的其他索引 else: logger.debug(f"表 '{table_name}' 的索引一致。") except Exception as e: logger.error(f"在处理表 '{table_name}' 时发生意外错误: {e}", exc_info=True) continue logger.info("数据库结构检查与自动迁移完成。")