open-feature / open-feature/python-sdk
Review thread safety of client/API/Evaluation context
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- 主要语言
- Python
- 星标
- 111
- 派生
- 44
- 平均合并
- 2 小时 37 分钟
- 30 天内合并 PR
- 14
描述
Review the thread safety of the SDK to make sure there's no potential concurrency issues, particularly around state maintained in the global API object, clients, and evaluation context objects.
See here for a similar discussion in the Java SDK and others.
Background
Python's GIL is sometimes mistaken for making threading a non-issue (like Node's single-threaded model), but they're not the same. The GIL only makes individual bytecode operations atomic; compound operations like check-then-act or read-modify-write are not safe. Providers commonly run background threads for connection management and emit events from them, so these races aren't just theoretical.
Audit
Here's what we found. The only locks in the SDK today are in _event_support.py (and even those have some gaps). Everything else is unprotected.
ProviderRegistrysingleton (provider/_registry.py) - this is the big one. No locks at all.set_provider()andset_default_provider()have check-then-act patterns with side effects (initialize/shutdown), so concurrent calls can double-shutdown, lose providers, or initialize providers that never get registered.clear_providers()has a window where shut-down providers are still returned to callers.- Global
_hookslist (hook/__init__.py) -add_hooksdoes_hooks = _hooks + hookswhich is a read-concat-rebind; two concurrent calls can lose one set of hooks api.clear_providers()(api.py) - callsprovider_registry.clear_providers()then_event_support.clear()as two separate steps; event handlers still exist but providers are gone in between_event_support.py- has RLock (good), but immediate handler execution inadd_*_handlerruns outside the lock, andclear()acquires two separate locks non-atomically- Global
_evaluation_context(evaluation_context/__init__.py) - no lock; TOCTOU across the evaluation pipeline (context can change between read and use) - Global transaction context propagator (
transaction_context/__init__.py) - no lock; read-then-call-method races with propagator swap - Client instance state (
client.py) -self.hookshas the same lost-update pattern as global hooks;_assert_provider_statusreadsself.provideragain instead of using the reference captured earlier in the evaluation flow, so the status check can be for a different provider than the one actually used AbstractProvider._on_emit(provider/__init__.py) -emit()doesif hasattr(self, "_on_emit"): self._on_emit(...)which is a TOCTOU;detach()during shutdown can delete_on_emitwhile a background thread is between the check and the call
Definition of done
- issues created for thread safety of global API, client, and evaluation context
贡献指南
从这里开始
- 先读完整个 Issue,再读项目的贡献指南。
- 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
- Fork 仓库,在一个分支上完成修改。
- 提交 Pull Request,并在描述里引用这个 Issue 编号。
调研方向
从列出的组件开始:provider/_registry.py、hook/init.py、api.py、_event_support.py、evaluation_context/init.py、transaction_context/init.py、client.py 和 provider/init.py。将它们的并发行为与链接的 Java SDK 讨论进行比较。完成的标准是:针对完成定义中所描述的全局 API、客户端和评估上下文线程安全工作,创建范围明确的后续 issue。
由索引模型根据 Issue 内容生成。
评估
- 技术栈
- python
- 领域
- api, backend
- Issue 类型
- 重构
- 难度
- 5/5
- 预计耗时
- 一周以上
- 活跃度
- 冷清
- 描述清晰度
- 基本清楚
- 新手友好度
- 35/100