ccfos/huatuo

[功能建议]: Python 内存 Profiling 增强

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#331 opened on Jul 7, 2026

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enhancementgood first issueprofilingpython

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Description

背景

huatuo 已初步支持 Python 内存 Profiling（memray 解码器），但 decoder.go 中存在多处 TODO，功能完整性有待完善。

需求描述

完善 Python 内存 Profiling 能力：

  1. 完善 memray 解码器：处理 decoder.go 中的多处 TODO 项
  2. 行级分配定位：支持精确到代码行的内存分配定位
  3. codeObject 元信息：解析和展示 codeObject 的完整元信息（文件名、函数名、行号等）
  4. 二分搜索优化：对时间戳查找等场景采用二分搜索优化性能
  5. 易用性优化：完善错误处理、日志输出、数据格式兼容性

技术要求

  • 保持与现有 memray 格式的兼容性
  • 性能优化不引入回归问题

验收标准

  • decoder.go 中的 TODO 全部解决
  • 行级分配定位可用
  • codeObject 元信息完整展示
  • 性能优化生效

意向参与贡献

  • 我有意向参与具体功能的开发实现并将代码贡献回到上游社区

Contributor guide

Research direction
Investigate the TODO comments in decoder.go, understand the existing memray decoding structure, and implement line level allocation tracking by parsing code object metadata. Optimize timestamp lookups with binary search.
Tech stack
gopython
Domain
backendobservability
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
Go
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
70