24024
af7c11d7f9
- 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
104 lines
3.2 KiB
Cython
104 lines
3.2 KiB
Cython
# cython: language_level=3, freethreading_compatible=True
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from types import GenericAlias
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from cpython.dict cimport PyDict_GetItem
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from cpython.object cimport PyObject
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cdef extern from "Python.h":
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# Call a callable Python object callable with exactly
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# 1 positional argument arg and no keyword arguments.
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# Return the result of the call on success, or raise
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# an exception and return NULL on failure.
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PyObject* PyObject_CallOneArg(
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object callable, object arg
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) except NULL
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int PyDict_SetItem(
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object dict, object key, PyObject* value
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) except -1
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void Py_DECREF(PyObject*)
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cdef class under_cached_property:
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"""Use as a class method decorator. It operates almost exactly like
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the Python `@property` decorator, but it puts the result of the
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method it decorates into the instance dict after the first call,
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effectively replacing the function it decorates with an instance
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variable. It is, in Python parlance, a data descriptor.
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"""
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cdef readonly object wrapped
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cdef object name
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def __init__(self, object wrapped):
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self.wrapped = wrapped
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self.name = wrapped.__name__
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@property
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def __doc__(self):
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return self.wrapped.__doc__
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def __get__(self, object inst, owner):
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if inst is None:
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return self
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cdef dict cache = inst._cache
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cdef PyObject* val = PyDict_GetItem(cache, self.name)
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if val == NULL:
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val = PyObject_CallOneArg(self.wrapped, inst)
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PyDict_SetItem(cache, self.name, val)
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Py_DECREF(val)
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return <object>val
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def __set__(self, inst, value):
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raise AttributeError("cached property is read-only")
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__class_getitem__ = classmethod(GenericAlias)
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cdef class cached_property:
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"""Use as a class method decorator. It operates almost exactly like
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the Python `@property` decorator, but it puts the result of the
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method it decorates into the instance dict after the first call,
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effectively replacing the function it decorates with an instance
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variable. It is, in Python parlance, a data descriptor.
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"""
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cdef readonly object func
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cdef object name
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def __init__(self, func):
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self.func = func
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self.name = None
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@property
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def __doc__(self):
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return self.func.__doc__
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def __set_name__(self, owner, object name):
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if self.name is None:
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self.name = name
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elif name != self.name:
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raise TypeError(
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"Cannot assign the same cached_property to two different names "
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f"({self.name!r} and {name!r})."
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)
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def __get__(self, inst, owner):
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if inst is None:
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return self
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if self.name is None:
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raise TypeError(
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"Cannot use cached_property instance"
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" without calling __set_name__ on it.")
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cdef dict cache = inst.__dict__
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cdef PyObject* val = PyDict_GetItem(cache, self.name)
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if val is NULL:
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val = PyObject_CallOneArg(self.func, inst)
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PyDict_SetItem(cache, self.name, val)
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Py_DECREF(val)
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return <object>val
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__class_getitem__ = classmethod(GenericAlias)
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