218 lines
7.9 KiB
Python
218 lines
7.9 KiB
Python
"""
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数据库迁移工具
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用于自动检测模型变更并应用到数据库
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"""
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import logging
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import sqlalchemy as sa
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from sqlalchemy import inspect, text, Enum
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from sqlalchemy.exc import OperationalError, ProgrammingError
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from data.session import get_db
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from config.database import DBConfig
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import importlib
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import pkgutil
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import data.models
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import enum
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import json
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# 设置日志
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logger = logging.getLogger(__name__)
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class DBMigration:
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"""数据库迁移工具类"""
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def __init__(self):
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"""初始化迁移工具"""
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self.db = next(get_db())
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self.engine = self.db.bind
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self.inspector = inspect(self.engine)
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self.metadata = sa.MetaData()
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self.metadata.reflect(bind=self.engine)
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def get_all_models(self):
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"""获取所有模型类"""
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models = []
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# 导入所有模型模块
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for _, name, _ in pkgutil.iter_modules(data.models.__path__):
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try:
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module = importlib.import_module(f"data.models.{name}")
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# 获取模块中的所有类
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for attr_name in dir(module):
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attr = getattr(module, attr_name)
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# 检查是否为模型类
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if isinstance(attr, type) and hasattr(attr, "__tablename__") and attr.__name__ != "BaseModel":
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models.append(attr)
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except ImportError as e:
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logger.error(f"导入模块 data.models.{name} 失败: {str(e)}")
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return models
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def get_table_columns(self, table_name):
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"""获取表的所有列信息"""
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columns = {}
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try:
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for column in self.inspector.get_columns(table_name):
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columns[column["name"]] = column
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except Exception as e:
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logger.error(f"获取表 {table_name} 的列信息失败: {str(e)}")
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return columns
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def get_model_columns(self, model):
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"""获取模型的所有列信息"""
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columns = {}
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for name, column in model.__table__.columns.items():
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columns[name] = column
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return columns
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def check_table_exists(self, table_name):
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"""检查表是否存在"""
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return self.inspector.has_table(table_name)
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def create_table(self, model):
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"""创建表"""
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try:
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model.__table__.create(self.engine)
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logger.info(f"创建表 {model.__tablename__} 成功")
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return True
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except Exception as e:
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logger.error(f"创建表 {model.__tablename__} 失败: {str(e)}")
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return False
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def get_column_type_sql(self, column):
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"""获取列类型的SQL表示"""
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try:
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# 处理枚举类型
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if isinstance(column.type, Enum):
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# MySQL中枚举类型的处理
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if self.engine.dialect.name == 'mysql':
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enum_values = [f"'{val}'" for val in column.type.enums]
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return f"ENUM({', '.join(enum_values)})"
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# PostgreSQL中枚举类型的处理
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elif self.engine.dialect.name == 'postgresql':
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# 获取枚举类型名称
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enum_name = column.type.name or f"{column.table.name}_{column.name}_enum"
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# 创建枚举类型
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enum_values = [f"'{val}'" for val in column.type.enums]
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self.db.execute(text(f"CREATE TYPE IF NOT EXISTS {enum_name} AS ENUM ({', '.join(enum_values)})"))
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self.db.commit()
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return enum_name
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# 其他类型直接使用SQLAlchemy的编译功能
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return column.type.compile(self.engine.dialect)
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except Exception as e:
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logger.error(f"获取列类型失败: {str(e)}")
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# 默认返回VARCHAR类型
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return "VARCHAR(255)"
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def get_column_default_sql(self, column):
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"""获取列默认值的SQL表示"""
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try:
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default = column.default
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if default is None:
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return ""
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# 处理服务器端默认值
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if default.is_sequence or default.is_callable:
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return "" # 服务器端默认值不需要在ADD COLUMN中指定
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# 处理标量默认值
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if default.is_scalar:
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if isinstance(default.arg, bool):
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return f" DEFAULT {1 if default.arg else 0}" if self.engine.dialect.name == 'mysql' else f" DEFAULT {str(default.arg).lower()}"
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elif isinstance(default.arg, (int, float)):
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return f" DEFAULT {default.arg}"
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elif isinstance(default.arg, str):
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return f" DEFAULT '{default.arg}'"
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elif isinstance(default.arg, enum.Enum):
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return f" DEFAULT '{default.arg.value}'"
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elif default.arg is None:
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return " DEFAULT NULL"
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# 处理JSON默认值
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if hasattr(column.type, 'python_type') and column.type.python_type == dict:
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if default.arg is None:
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return " DEFAULT '{}'"
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return f" DEFAULT '{json.dumps(default.arg)}'"
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return ""
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except Exception as e:
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logger.error(f"获取列默认值失败: {str(e)}")
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return ""
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def add_column(self, table_name, column_name, column):
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"""添加列"""
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try:
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# 获取列类型
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column_type = self.get_column_type_sql(column)
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# 获取列默认值
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default_value = self.get_column_default_sql(column)
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# 获取列是否可为空
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nullable = "" if column.nullable else " NOT NULL"
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# 构建SQL语句
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sql = f"ALTER TABLE {table_name} ADD COLUMN {column_name} {column_type}{nullable}{default_value}"
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# 执行SQL
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logger.info(f"执行SQL: {sql}")
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self.db.execute(text(sql))
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self.db.commit()
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logger.info(f"添加列 {table_name}.{column_name} 成功")
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return True
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except Exception as e:
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logger.error(f"添加列 {table_name}.{column_name} 失败: {str(e)}")
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self.db.rollback()
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return False
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def migrate(self):
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"""执行迁移"""
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models = self.get_all_models()
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logger.info(f"发现 {len(models)} 个模型")
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for model in models:
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table_name = model.__tablename__
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# 检查表是否存在
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if not self.check_table_exists(table_name):
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logger.info(f"表 {table_name} 不存在，准备创建")
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self.create_table(model)
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continue
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# 获取表的列信息
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table_columns = self.get_table_columns(table_name)
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# 获取模型的列信息
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model_columns = self.get_model_columns(model)
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# 检查是否有新增的列
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for column_name, column in model_columns.items():
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if column_name not in table_columns:
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logger.info(f"发现新增列 {table_name}.{column_name}，准备添加")
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self.add_column(table_name, column_name, column)
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logger.info("数据库迁移完成")
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def run_migration():
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"""运行数据库迁移"""
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try:
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logger.info("开始数据库迁移")
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migration = DBMigration()
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migration.migrate()
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logger.info("数据库迁移成功")
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return True
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except Exception as e:
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logger.error(f"数据库迁移失败: {str(e)}")
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return False
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if __name__ == "__main__":
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# 设置日志格式
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
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)
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# 运行迁移
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run_migration() |