ai_v/venv/Lib/site-packages/sqlalchemy/dialects/mysql/dml.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
# dialects/mysql/dml.py
# Copyright (C) 2005-2025 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
from typing import Any
from typing import Dict
from typing import List
from typing import Mapping
from typing import Optional
from typing import Tuple
from typing import Union
from ... import exc
from ... import util
from ...sql._typing import _DMLTableArgument
from ...sql.base import _exclusive_against
from ...sql.base import _generative
from ...sql.base import ColumnCollection
from ...sql.base import ReadOnlyColumnCollection
from ...sql.dml import Insert as StandardInsert
from ...sql.elements import ClauseElement
from ...sql.elements import KeyedColumnElement
from ...sql.expression import alias
from ...sql.selectable import NamedFromClause
from ...util.typing import Self
__all__ = ("Insert", "insert")
def insert(table: _DMLTableArgument) -> Insert:
"""Construct a MySQL/MariaDB-specific variant :class:`_mysql.Insert`
construct.
.. container:: inherited_member
The :func:`sqlalchemy.dialects.mysql.insert` function creates
a :class:`sqlalchemy.dialects.mysql.Insert`. This class is based
on the dialect-agnostic :class:`_sql.Insert` construct which may
be constructed using the :func:`_sql.insert` function in
SQLAlchemy Core.
The :class:`_mysql.Insert` construct includes additional methods
:meth:`_mysql.Insert.on_duplicate_key_update`.
"""
return Insert(table)
class Insert(StandardInsert):
"""MySQL-specific implementation of INSERT.
Adds methods for MySQL-specific syntaxes such as ON DUPLICATE KEY UPDATE.
The :class:`~.mysql.Insert` object is created using the
:func:`sqlalchemy.dialects.mysql.insert` function.
.. versionadded:: 1.2
"""
stringify_dialect = "mysql"
inherit_cache = False
@property
def inserted(
self,
) -> ReadOnlyColumnCollection[str, KeyedColumnElement[Any]]:
"""Provide the "inserted" namespace for an ON DUPLICATE KEY UPDATE
statement
MySQL's ON DUPLICATE KEY UPDATE clause allows reference to the row
that would be inserted, via a special function called ``VALUES()``.
This attribute provides all columns in this row to be referenceable
such that they will render within a ``VALUES()`` function inside the
ON DUPLICATE KEY UPDATE clause. The attribute is named ``.inserted``
so as not to conflict with the existing
:meth:`_expression.Insert.values` method.
.. tip:: The :attr:`_mysql.Insert.inserted` attribute is an instance
of :class:`_expression.ColumnCollection`, which provides an
interface the same as that of the :attr:`_schema.Table.c`
collection described at :ref:`metadata_tables_and_columns`.
With this collection, ordinary names are accessible like attributes
(e.g. ``stmt.inserted.some_column``), but special names and
dictionary method names should be accessed using indexed access,
such as ``stmt.inserted["column name"]`` or
``stmt.inserted["values"]``. See the docstring for
:class:`_expression.ColumnCollection` for further examples.
.. seealso::
:ref:`mysql_insert_on_duplicate_key_update` - example of how
to use :attr:`_expression.Insert.inserted`
"""
return self.inserted_alias.columns
@util.memoized_property
def inserted_alias(self) -> NamedFromClause:
return alias(self.table, name="inserted")
@_generative
@_exclusive_against(
"_post_values_clause",
msgs={
"_post_values_clause": "This Insert construct already "
"has an ON DUPLICATE KEY clause present"
},
)
def on_duplicate_key_update(self, *args: _UpdateArg, **kw: Any) -> Self:
r"""
Specifies the ON DUPLICATE KEY UPDATE clause.
:param \**kw: Column keys linked to UPDATE values. The
values may be any SQL expression or supported literal Python
values.
.. warning:: This dictionary does **not** take into account
Python-specified default UPDATE values or generation functions,
e.g. those specified using :paramref:`_schema.Column.onupdate`.
These values will not be exercised for an ON DUPLICATE KEY UPDATE
style of UPDATE, unless values are manually specified here.
:param \*args: As an alternative to passing key/value parameters,
a dictionary or list of 2-tuples can be passed as a single positional
argument.
Passing a single dictionary is equivalent to the keyword argument
form::
insert().on_duplicate_key_update({"name": "some name"})
Passing a list of 2-tuples indicates that the parameter assignments
in the UPDATE clause should be ordered as sent, in a manner similar
to that described for the :class:`_expression.Update`
construct overall
in :ref:`tutorial_parameter_ordered_updates`::
insert().on_duplicate_key_update(
[
("name", "some name"),
("value", "some value"),
]
)
.. versionchanged:: 1.3 parameters can be specified as a dictionary
or list of 2-tuples; the latter form provides for parameter
ordering.
.. versionadded:: 1.2
.. seealso::
:ref:`mysql_insert_on_duplicate_key_update`
"""
if args and kw:
raise exc.ArgumentError(
"Can't pass kwargs and positional arguments simultaneously"
)
if args:
if len(args) > 1:
raise exc.ArgumentError(
"Only a single dictionary or list of tuples "
"is accepted positionally."
)
values = args[0]
else:
values = kw
self._post_values_clause = OnDuplicateClause(
self.inserted_alias, values
)
return self
class OnDuplicateClause(ClauseElement):
__visit_name__ = "on_duplicate_key_update"
_parameter_ordering: Optional[List[str]] = None
update: Dict[str, Any]
stringify_dialect = "mysql"
def __init__(
self, inserted_alias: NamedFromClause, update: _UpdateArg
) -> None:
self.inserted_alias = inserted_alias
# auto-detect that parameters should be ordered. This is copied from
# Update._proces_colparams(), however we don't look for a special flag
# in this case since we are not disambiguating from other use cases as
# we are in Update.values().
if isinstance(update, list) and (
update and isinstance(update[0], tuple)
):
self._parameter_ordering = [key for key, value in update]
update = dict(update)
if isinstance(update, dict):
if not update:
raise ValueError(
"update parameter dictionary must not be empty"
)
elif isinstance(update, ColumnCollection):
update = dict(update)
else:
raise ValueError(
"update parameter must be a non-empty dictionary "
"or a ColumnCollection such as the `.c.` collection "
"of a Table object"
)
self.update = update
_UpdateArg = Union[
Mapping[Any, Any], List[Tuple[str, Any]], ColumnCollection[Any, Any]
]