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🔧 Migrate from pip to uv for dependency management

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评估

难度
4/5
预计耗时
3-5 天
新手友好度
38/100
Issue 类型
重构
描述清晰度
基本清楚
活跃度
停滞
技术栈
docker, python
领域
devops, tooling

调研方向

Start by reviewing the uv-generated headers in requirements/*.txt and the existing Docker configuration, then check CLAUDE.md, CI/CD pipelines, Taskfile or Makefile commands, and development setup scripts for pip usage. Done means dependency installation uses uv consistently and has been tested in local, Docker, and Heroku environments without changing application dependencies.

由索引模型根据 Issue 内容生成。

描述

Description

Migrate the project's dependency management from pip to uv for faster and more reliable package installation and resolution.

Context

The project currently uses pip for installing dependencies, but already uses uv for compiling requirements files (as seen in requirements/*.txt headers). We should fully migrate to uv for all dependency management operations to benefit from its speed and improved dependency resolution.

Benefits

  • Speed: uv is significantly faster than pip for package installation (10-100x in many cases)
  • Better dependency resolution: More reliable conflict detection and resolution
  • Consistency: Already using uv for requirements compilation, this would unify our tooling
  • Lock file support: Better reproducibility across environments

Scope

  • Update Docker configuration to use uv pip install instead of pip install
  • Update local development documentation (CLAUDE.md) with uv installation instructions
  • Update CI/CD pipelines if applicable
  • Update Taskfile/Makefile commands to use uv
  • Update development setup scripts
  • Test in all environments (local, Docker, Heroku)

References

  • uv documentation
  • Current usage: Already using uv pip compile for requirements files

Notes

This is a tooling change that should not affect the actual dependencies or application behavior, only the installation process.

主要语言
Python
星标
17
派生
27
PR 合并指标
30 天内没有已合并 PR

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  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

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