- 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
88 lines
2.9 KiB
Python
88 lines
2.9 KiB
Python
from __future__ import annotations
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import threading
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class _HTTP2ProbeCache:
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__slots__ = (
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"_lock",
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"_cache_locks",
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"_cache_values",
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)
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def __init__(self) -> None:
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self._lock = threading.Lock()
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self._cache_locks: dict[tuple[str, int], threading.RLock] = {}
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self._cache_values: dict[tuple[str, int], bool | None] = {}
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def acquire_and_get(self, host: str, port: int) -> bool | None:
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# By the end of this block we know that
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# _cache_[values,locks] is available.
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value = None
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with self._lock:
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key = (host, port)
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try:
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value = self._cache_values[key]
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# If it's a known value we return right away.
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if value is not None:
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return value
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except KeyError:
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self._cache_locks[key] = threading.RLock()
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self._cache_values[key] = None
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# If the value is unknown, we acquire the lock to signal
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# to the requesting thread that the probe is in progress
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# or that the current thread needs to return their findings.
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key_lock = self._cache_locks[key]
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key_lock.acquire()
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try:
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# If the by the time we get the lock the value has been
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# updated we want to return the updated value.
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value = self._cache_values[key]
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# In case an exception like KeyboardInterrupt is raised here.
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except BaseException as e: # Defensive:
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assert not isinstance(e, KeyError) # KeyError shouldn't be possible.
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key_lock.release()
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raise
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return value
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def set_and_release(
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self, host: str, port: int, supports_http2: bool | None
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) -> None:
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key = (host, port)
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key_lock = self._cache_locks[key]
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with key_lock: # Uses an RLock, so can be locked again from same thread.
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if supports_http2 is None and self._cache_values[key] is not None:
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raise ValueError(
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"Cannot reset HTTP/2 support for origin after value has been set."
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) # Defensive: not expected in normal usage
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self._cache_values[key] = supports_http2
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key_lock.release()
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def _values(self) -> dict[tuple[str, int], bool | None]:
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"""This function is for testing purposes only. Gets the current state of the probe cache"""
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with self._lock:
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return {k: v for k, v in self._cache_values.items()}
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def _reset(self) -> None:
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"""This function is for testing purposes only. Reset the cache values"""
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with self._lock:
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self._cache_locks = {}
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self._cache_values = {}
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_HTTP2_PROBE_CACHE = _HTTP2ProbeCache()
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set_and_release = _HTTP2_PROBE_CACHE.set_and_release
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acquire_and_get = _HTTP2_PROBE_CACHE.acquire_and_get
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_values = _HTTP2_PROBE_CACHE._values
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_reset = _HTTP2_PROBE_CACHE._reset
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__all__ = [
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"set_and_release",
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"acquire_and_get",
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]
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