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