ai_v/venv/Lib/site-packages/redis/retry.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

127 lines
3.5 KiB
Python

import abc
import socket
from time import sleep
from typing import (
TYPE_CHECKING,
Any,
Callable,
Generic,
Iterable,
Optional,
Tuple,
Type,
TypeVar,
)
from redis.exceptions import ConnectionError, TimeoutError
T = TypeVar("T")
E = TypeVar("E", bound=Exception, covariant=True)
if TYPE_CHECKING:
from redis.backoff import AbstractBackoff
class AbstractRetry(Generic[E], abc.ABC):
"""Retry a specific number of times after a failure"""
_supported_errors: Tuple[Type[E], ...]
def __init__(
self,
backoff: "AbstractBackoff",
retries: int,
supported_errors: Tuple[Type[E], ...],
):
"""
Initialize a `Retry` object with a `Backoff` object
that retries a maximum of `retries` times.
`retries` can be negative to retry forever.
You can specify the types of supported errors which trigger
a retry with the `supported_errors` parameter.
"""
self._backoff = backoff
self._retries = retries
self._supported_errors = supported_errors
@abc.abstractmethod
def __eq__(self, other: Any) -> bool:
return NotImplemented
def __hash__(self) -> int:
return hash((self._backoff, self._retries, frozenset(self._supported_errors)))
def update_supported_errors(self, specified_errors: Iterable[Type[E]]) -> None:
"""
Updates the supported errors with the specified error types
"""
self._supported_errors = tuple(
set(self._supported_errors + tuple(specified_errors))
)
def get_retries(self) -> int:
"""
Get the number of retries.
"""
return self._retries
def update_retries(self, value: int) -> None:
"""
Set the number of retries.
"""
self._retries = value
class Retry(AbstractRetry[Exception]):
__hash__ = AbstractRetry.__hash__
def __init__(
self,
backoff: "AbstractBackoff",
retries: int,
supported_errors: Tuple[Type[Exception], ...] = (
ConnectionError,
TimeoutError,
socket.timeout,
),
):
super().__init__(backoff, retries, supported_errors)
def __eq__(self, other: Any) -> bool:
if not isinstance(other, Retry):
return NotImplemented
return (
self._backoff == other._backoff
and self._retries == other._retries
and set(self._supported_errors) == set(other._supported_errors)
)
def call_with_retry(
self,
do: Callable[[], T],
fail: Callable[[Exception], Any],
is_retryable: Optional[Callable[[Exception], bool]] = None,
) -> T:
"""
Execute an operation that might fail and returns its result, or
raise the exception that was thrown depending on the `Backoff` object.
`do`: the operation to call. Expects no argument.
`fail`: the failure handler, expects the last error that was thrown
"""
self._backoff.reset()
failures = 0
while True:
try:
return do()
except self._supported_errors as error:
if is_retryable and not is_retryable(error):
raise
failures += 1
fail(error)
if self._retries >= 0 and failures > self._retries:
raise error
backoff = self._backoff.compute(failures)
if backoff > 0:
sleep(backoff)