ai_v/venv/Lib/site-packages/sqlalchemy/ext/mypy/plugin.py

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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
# ext/mypy/plugin.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
"""
Mypy plugin for SQLAlchemy ORM.
"""
from __future__ import annotations
from typing import Callable
from typing import List
from typing import Optional
from typing import Tuple
from typing import Type as TypingType
from typing import Union
from mypy import nodes
from mypy.mro import calculate_mro
from mypy.mro import MroError
from mypy.nodes import Block
from mypy.nodes import ClassDef
from mypy.nodes import GDEF
from mypy.nodes import MypyFile
from mypy.nodes import NameExpr
from mypy.nodes import SymbolTable
from mypy.nodes import SymbolTableNode
from mypy.nodes import TypeInfo
from mypy.plugin import AttributeContext
from mypy.plugin import ClassDefContext
from mypy.plugin import DynamicClassDefContext
from mypy.plugin import Plugin
from mypy.plugin import SemanticAnalyzerPluginInterface
from mypy.types import get_proper_type
from mypy.types import Instance
from mypy.types import Type
from . import decl_class
from . import names
from . import util
try:
__import__("sqlalchemy-stubs")
except ImportError:
pass
else:
raise ImportError(
"The SQLAlchemy mypy plugin in SQLAlchemy "
"2.0 does not work with sqlalchemy-stubs or "
"sqlalchemy2-stubs installed, as well as with any other third party "
"SQLAlchemy stubs. Please uninstall all SQLAlchemy stubs "
"packages."
)
class SQLAlchemyPlugin(Plugin):
def get_dynamic_class_hook(
self, fullname: str
) -> Optional[Callable[[DynamicClassDefContext], None]]:
if names.type_id_for_fullname(fullname) is names.DECLARATIVE_BASE:
return _dynamic_class_hook
return None
def get_customize_class_mro_hook(
self, fullname: str
) -> Optional[Callable[[ClassDefContext], None]]:
return _fill_in_decorators
def get_class_decorator_hook(
self, fullname: str
) -> Optional[Callable[[ClassDefContext], None]]:
sym = self.lookup_fully_qualified(fullname)
if sym is not None and sym.node is not None:
type_id = names.type_id_for_named_node(sym.node)
if type_id is names.MAPPED_DECORATOR:
return _cls_decorator_hook
elif type_id in (
names.AS_DECLARATIVE,
names.AS_DECLARATIVE_BASE,
):
return _base_cls_decorator_hook
elif type_id is names.DECLARATIVE_MIXIN:
return _declarative_mixin_hook
return None
def get_metaclass_hook(
self, fullname: str
) -> Optional[Callable[[ClassDefContext], None]]:
if names.type_id_for_fullname(fullname) is names.DECLARATIVE_META:
# Set any classes that explicitly have metaclass=DeclarativeMeta
# as declarative so the check in `get_base_class_hook()` works
return _metaclass_cls_hook
return None
def get_base_class_hook(
self, fullname: str
) -> Optional[Callable[[ClassDefContext], None]]:
sym = self.lookup_fully_qualified(fullname)
if (
sym
and isinstance(sym.node, TypeInfo)
and util.has_declarative_base(sym.node)
):
return _base_cls_hook
return None
def get_attribute_hook(
self, fullname: str
) -> Optional[Callable[[AttributeContext], Type]]:
if fullname.startswith(
"sqlalchemy.orm.attributes.QueryableAttribute."
):
return _queryable_getattr_hook
return None
def get_additional_deps(
self, file: MypyFile
) -> List[Tuple[int, str, int]]:
return [
#
(10, "sqlalchemy.orm", -1),
(10, "sqlalchemy.orm.attributes", -1),
(10, "sqlalchemy.orm.decl_api", -1),
]
def plugin(version: str) -> TypingType[SQLAlchemyPlugin]:
return SQLAlchemyPlugin
def _dynamic_class_hook(ctx: DynamicClassDefContext) -> None:
"""Generate a declarative Base class when the declarative_base() function
is encountered."""
_add_globals(ctx)
cls = ClassDef(ctx.name, Block([]))
cls.fullname = ctx.api.qualified_name(ctx.name)
info = TypeInfo(SymbolTable(), cls, ctx.api.cur_mod_id)
cls.info = info
_set_declarative_metaclass(ctx.api, cls)
cls_arg = util.get_callexpr_kwarg(ctx.call, "cls", expr_types=(NameExpr,))
if cls_arg is not None and isinstance(cls_arg.node, TypeInfo):
util.set_is_base(cls_arg.node)
decl_class.scan_declarative_assignments_and_apply_types(
cls_arg.node.defn, ctx.api, is_mixin_scan=True
)
info.bases = [Instance(cls_arg.node, [])]
else:
obj = ctx.api.named_type(names.NAMED_TYPE_BUILTINS_OBJECT)
info.bases = [obj]
try:
calculate_mro(info)
except MroError:
util.fail(
ctx.api, "Not able to calculate MRO for declarative base", ctx.call
)
obj = ctx.api.named_type(names.NAMED_TYPE_BUILTINS_OBJECT)
info.bases = [obj]
info.fallback_to_any = True
ctx.api.add_symbol_table_node(ctx.name, SymbolTableNode(GDEF, info))
util.set_is_base(info)
def _fill_in_decorators(ctx: ClassDefContext) -> None:
for decorator in ctx.cls.decorators:
# set the ".fullname" attribute of a class decorator
# that is a MemberExpr. This causes the logic in
# semanal.py->apply_class_plugin_hooks to invoke the
# get_class_decorator_hook for our "registry.map_class()"
# and "registry.as_declarative_base()" methods.
# this seems like a bug in mypy that these decorators are otherwise
# skipped.
if (
isinstance(decorator, nodes.CallExpr)
and isinstance(decorator.callee, nodes.MemberExpr)
and decorator.callee.name == "as_declarative_base"
):
target = decorator.callee
elif (
isinstance(decorator, nodes.MemberExpr)
and decorator.name == "mapped"
):
target = decorator
else:
continue
if isinstance(target.expr, NameExpr):
sym = ctx.api.lookup_qualified(
target.expr.name, target, suppress_errors=True
)
else:
continue
if sym and sym.node:
sym_type = get_proper_type(sym.type)
if isinstance(sym_type, Instance):
target.fullname = f"{sym_type.type.fullname}.{target.name}"
else:
# if the registry is in the same file as where the
# decorator is used, it might not have semantic
# symbols applied and we can't get a fully qualified
# name or an inferred type, so we are actually going to
# flag an error in this case that they need to annotate
# it. The "registry" is declared just
# once (or few times), so they have to just not use
# type inference for its assignment in this one case.
util.fail(
ctx.api,
"Class decorator called %s(), but we can't "
"tell if it's from an ORM registry. Please "
"annotate the registry assignment, e.g. "
"my_registry: registry = registry()" % target.name,
sym.node,
)
def _cls_decorator_hook(ctx: ClassDefContext) -> None:
_add_globals(ctx)
assert isinstance(ctx.reason, nodes.MemberExpr)
expr = ctx.reason.expr
assert isinstance(expr, nodes.RefExpr) and isinstance(expr.node, nodes.Var)
node_type = get_proper_type(expr.node.type)
assert (
isinstance(node_type, Instance)
and names.type_id_for_named_node(node_type.type) is names.REGISTRY
)
decl_class.scan_declarative_assignments_and_apply_types(ctx.cls, ctx.api)
def _base_cls_decorator_hook(ctx: ClassDefContext) -> None:
_add_globals(ctx)
cls = ctx.cls
_set_declarative_metaclass(ctx.api, cls)
util.set_is_base(ctx.cls.info)
decl_class.scan_declarative_assignments_and_apply_types(
cls, ctx.api, is_mixin_scan=True
)
def _declarative_mixin_hook(ctx: ClassDefContext) -> None:
_add_globals(ctx)
util.set_is_base(ctx.cls.info)
decl_class.scan_declarative_assignments_and_apply_types(
ctx.cls, ctx.api, is_mixin_scan=True
)
def _metaclass_cls_hook(ctx: ClassDefContext) -> None:
util.set_is_base(ctx.cls.info)
def _base_cls_hook(ctx: ClassDefContext) -> None:
_add_globals(ctx)
decl_class.scan_declarative_assignments_and_apply_types(ctx.cls, ctx.api)
def _queryable_getattr_hook(ctx: AttributeContext) -> Type:
# how do I....tell it it has no attribute of a certain name?
# can't find any Type that seems to match that
return ctx.default_attr_type
def _add_globals(ctx: Union[ClassDefContext, DynamicClassDefContext]) -> None:
"""Add __sa_DeclarativeMeta and __sa_Mapped symbol to the global space
for all class defs
"""
util.add_global(ctx, "sqlalchemy.orm", "Mapped", "__sa_Mapped")
def _set_declarative_metaclass(
api: SemanticAnalyzerPluginInterface, target_cls: ClassDef
) -> None:
info = target_cls.info
sym = api.lookup_fully_qualified_or_none(
"sqlalchemy.orm.decl_api.DeclarativeMeta"
)
assert sym is not None and isinstance(sym.node, TypeInfo)
info.declared_metaclass = info.metaclass_type = Instance(sym.node, [])