ai_v/venv/Lib/site-packages/sqlalchemy/ext/mypy/util.py
24024 af7c11d7f9 feat(api): 实现图像生成及后台同步功能
- 新增图像生成接口,支持试用、积分和自定义API Key模式
- 实现生成图片结果异步上传至MinIO存储,带重试机制
- 优化积分预扣除和异常退还逻辑,保障用户积分准确
- 添加获取生成历史记录接口,支持时间范围和分页
- 提供本地字典配置接口,支持模型、比例、提示模板和尺寸
- 实现图片批量上传接口,支持S3兼容对象存储

feat(admin): 增加管理员角色管理与权限分配接口

- 实现角色列表查询、角色创建、更新及删除功能
- 增加权限列表查询接口
- 实现用户角色分配接口,便于统一管理用户权限
- 增加系统字典增删查改接口,支持分类过滤和排序
- 权限控制全面覆盖管理接口,保证安全访问

feat(auth): 完善用户登录注册及权限相关接口与页面

- 实现手机号验证码发送及校验功能,保障注册安全
- 支持手机号注册、登录及退出接口,集成日志记录
- 增加修改密码功能,验证原密码后更新
- 提供动态导航菜单接口,基于权限展示不同菜单
- 实现管理界面路由及日志、角色、字典管理页面访问权限控制
- 添加系统日志查询接口,支持关键词和等级筛选

feat(app): 初始化Flask应用并配置蓝图与数据库

- 创建应用程序工厂,加载配置,初始化数据库和Redis客户端
- 注册认证、API及管理员蓝图,整合路由
- 根路由渲染主页模板
- 应用上下文中自动创建数据库表,保证运行环境准备完毕

feat(database): 提供数据库创建与迁移支持脚本

- 新增数据库创建脚本,支持自动检测是否已存在
- 添加数据库表初始化脚本,支持创建和删除所有表
- 实现RBAC权限初始化,包含基础权限和角色创建
- 新增字段手动修复脚本,添加用户API Key和积分字段
- 强制迁移脚本支持清理连接和修复表结构,初始化默认数据及角色分配

feat(config): 新增系统配置参数

- 配置数据库、Redis、Session和MinIO相关参数
- 添加AI接口地址及试用Key配置
- 集成阿里云短信服务配置及开发模式相关参数

feat(extensions): 初始化数据库、Redis和MinIO客户端

- 创建全局SQLAlchemy数据库实例和Redis客户端
- 配置基于boto3的MinIO兼容S3客户端

chore(logs): 添加示例系统日志文件

- 记录用户请求、验证码发送成功与失败的日志信息
2026-01-12 00:53:31 +08:00

358 lines
9.7 KiB
Python

# ext/mypy/util.py
# Copyright (C) 2021-2025 the SQLAlchemy authors and contributors
# <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: https://www.opensource.org/licenses/mit-license.php
from __future__ import annotations
import re
from typing import Any
from typing import Iterable
from typing import Iterator
from typing import List
from typing import Optional
from typing import overload
from typing import Tuple
from typing import Type as TypingType
from typing import TypeVar
from typing import Union
from mypy import version
from mypy.messages import format_type as _mypy_format_type
from mypy.nodes import CallExpr
from mypy.nodes import ClassDef
from mypy.nodes import CLASSDEF_NO_INFO
from mypy.nodes import Context
from mypy.nodes import Expression
from mypy.nodes import FuncDef
from mypy.nodes import IfStmt
from mypy.nodes import JsonDict
from mypy.nodes import MemberExpr
from mypy.nodes import NameExpr
from mypy.nodes import Statement
from mypy.nodes import SymbolTableNode
from mypy.nodes import TypeAlias
from mypy.nodes import TypeInfo
from mypy.options import Options
from mypy.plugin import ClassDefContext
from mypy.plugin import DynamicClassDefContext
from mypy.plugin import SemanticAnalyzerPluginInterface
from mypy.plugins.common import deserialize_and_fixup_type
from mypy.typeops import map_type_from_supertype
from mypy.types import CallableType
from mypy.types import get_proper_type
from mypy.types import Instance
from mypy.types import NoneType
from mypy.types import Type
from mypy.types import TypeVarType
from mypy.types import UnboundType
from mypy.types import UnionType
_vers = tuple(
[int(x) for x in version.__version__.split(".") if re.match(r"^\d+$", x)]
)
mypy_14 = _vers >= (1, 4)
_TArgType = TypeVar("_TArgType", bound=Union[CallExpr, NameExpr])
class SQLAlchemyAttribute:
def __init__(
self,
name: str,
line: int,
column: int,
typ: Optional[Type],
info: TypeInfo,
) -> None:
self.name = name
self.line = line
self.column = column
self.type = typ
self.info = info
def serialize(self) -> JsonDict:
assert self.type
return {
"name": self.name,
"line": self.line,
"column": self.column,
"type": serialize_type(self.type),
}
def expand_typevar_from_subtype(self, sub_type: TypeInfo) -> None:
"""Expands type vars in the context of a subtype when an attribute is
inherited from a generic super type.
"""
if not isinstance(self.type, TypeVarType):
return
self.type = map_type_from_supertype(self.type, sub_type, self.info)
@classmethod
def deserialize(
cls,
info: TypeInfo,
data: JsonDict,
api: SemanticAnalyzerPluginInterface,
) -> SQLAlchemyAttribute:
data = data.copy()
typ = deserialize_and_fixup_type(data.pop("type"), api)
return cls(typ=typ, info=info, **data)
def name_is_dunder(name: str) -> bool:
return bool(re.match(r"^__.+?__$", name))
def _set_info_metadata(info: TypeInfo, key: str, data: Any) -> None:
info.metadata.setdefault("sqlalchemy", {})[key] = data
def _get_info_metadata(info: TypeInfo, key: str) -> Optional[Any]:
return info.metadata.get("sqlalchemy", {}).get(key, None)
def _get_info_mro_metadata(info: TypeInfo, key: str) -> Optional[Any]:
if info.mro:
for base in info.mro:
metadata = _get_info_metadata(base, key)
if metadata is not None:
return metadata
return None
def establish_as_sqlalchemy(info: TypeInfo) -> None:
info.metadata.setdefault("sqlalchemy", {})
def set_is_base(info: TypeInfo) -> None:
_set_info_metadata(info, "is_base", True)
def get_is_base(info: TypeInfo) -> bool:
is_base = _get_info_metadata(info, "is_base")
return is_base is True
def has_declarative_base(info: TypeInfo) -> bool:
is_base = _get_info_mro_metadata(info, "is_base")
return is_base is True
def set_has_table(info: TypeInfo) -> None:
_set_info_metadata(info, "has_table", True)
def get_has_table(info: TypeInfo) -> bool:
is_base = _get_info_metadata(info, "has_table")
return is_base is True
def get_mapped_attributes(
info: TypeInfo, api: SemanticAnalyzerPluginInterface
) -> Optional[List[SQLAlchemyAttribute]]:
mapped_attributes: Optional[List[JsonDict]] = _get_info_metadata(
info, "mapped_attributes"
)
if mapped_attributes is None:
return None
attributes: List[SQLAlchemyAttribute] = []
for data in mapped_attributes:
attr = SQLAlchemyAttribute.deserialize(info, data, api)
attr.expand_typevar_from_subtype(info)
attributes.append(attr)
return attributes
def format_type(typ_: Type, options: Options) -> str:
if mypy_14:
return _mypy_format_type(typ_, options)
else:
return _mypy_format_type(typ_) # type: ignore
def set_mapped_attributes(
info: TypeInfo, attributes: List[SQLAlchemyAttribute]
) -> None:
_set_info_metadata(
info,
"mapped_attributes",
[attribute.serialize() for attribute in attributes],
)
def fail(api: SemanticAnalyzerPluginInterface, msg: str, ctx: Context) -> None:
msg = "[SQLAlchemy Mypy plugin] %s" % msg
return api.fail(msg, ctx)
def add_global(
ctx: Union[ClassDefContext, DynamicClassDefContext],
module: str,
symbol_name: str,
asname: str,
) -> None:
module_globals = ctx.api.modules[ctx.api.cur_mod_id].names
if asname not in module_globals:
lookup_sym: SymbolTableNode = ctx.api.modules[module].names[
symbol_name
]
module_globals[asname] = lookup_sym
@overload
def get_callexpr_kwarg(
callexpr: CallExpr, name: str, *, expr_types: None = ...
) -> Optional[Union[CallExpr, NameExpr]]: ...
@overload
def get_callexpr_kwarg(
callexpr: CallExpr,
name: str,
*,
expr_types: Tuple[TypingType[_TArgType], ...],
) -> Optional[_TArgType]: ...
def get_callexpr_kwarg(
callexpr: CallExpr,
name: str,
*,
expr_types: Optional[Tuple[TypingType[Any], ...]] = None,
) -> Optional[Any]:
try:
arg_idx = callexpr.arg_names.index(name)
except ValueError:
return None
kwarg = callexpr.args[arg_idx]
if isinstance(
kwarg, expr_types if expr_types is not None else (NameExpr, CallExpr)
):
return kwarg
return None
def flatten_typechecking(stmts: Iterable[Statement]) -> Iterator[Statement]:
for stmt in stmts:
if (
isinstance(stmt, IfStmt)
and isinstance(stmt.expr[0], NameExpr)
and stmt.expr[0].fullname == "typing.TYPE_CHECKING"
):
yield from stmt.body[0].body
else:
yield stmt
def type_for_callee(callee: Expression) -> Optional[Union[Instance, TypeInfo]]:
if isinstance(callee, (MemberExpr, NameExpr)):
if isinstance(callee.node, FuncDef):
if callee.node.type and isinstance(callee.node.type, CallableType):
ret_type = get_proper_type(callee.node.type.ret_type)
if isinstance(ret_type, Instance):
return ret_type
return None
elif isinstance(callee.node, TypeAlias):
target_type = get_proper_type(callee.node.target)
if isinstance(target_type, Instance):
return target_type
elif isinstance(callee.node, TypeInfo):
return callee.node
return None
def unbound_to_instance(
api: SemanticAnalyzerPluginInterface, typ: Type
) -> Type:
"""Take the UnboundType that we seem to get as the ret_type from a FuncDef
and convert it into an Instance/TypeInfo kind of structure that seems
to work as the left-hand type of an AssignmentStatement.
"""
if not isinstance(typ, UnboundType):
return typ
# TODO: figure out a more robust way to check this. The node is some
# kind of _SpecialForm, there's a typing.Optional that's _SpecialForm,
# but I can't figure out how to get them to match up
if typ.name == "Optional":
# convert from "Optional?" to the more familiar
# UnionType[..., NoneType()]
return unbound_to_instance(
api,
UnionType(
[unbound_to_instance(api, typ_arg) for typ_arg in typ.args]
+ [NoneType()]
),
)
node = api.lookup_qualified(typ.name, typ)
if (
node is not None
and isinstance(node, SymbolTableNode)
and isinstance(node.node, TypeInfo)
):
bound_type = node.node
return Instance(
bound_type,
[
(
unbound_to_instance(api, arg)
if isinstance(arg, UnboundType)
else arg
)
for arg in typ.args
],
)
else:
return typ
def info_for_cls(
cls: ClassDef, api: SemanticAnalyzerPluginInterface
) -> Optional[TypeInfo]:
if cls.info is CLASSDEF_NO_INFO:
sym = api.lookup_qualified(cls.name, cls)
if sym is None:
return None
assert sym and isinstance(sym.node, TypeInfo)
return sym.node
return cls.info
def serialize_type(typ: Type) -> Union[str, JsonDict]:
try:
return typ.serialize()
except Exception:
pass
if hasattr(typ, "args"):
typ.args = tuple(
(
a.resolve_string_annotation()
if hasattr(a, "resolve_string_annotation")
else a
)
for a in typ.args
)
elif hasattr(typ, "resolve_string_annotation"):
typ = typ.resolve_string_annotation()
return typ.serialize()