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🔧 Migrate from pip to uv for dependency management

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#171 0 comentários 0 reações 0 responsáveis Ver no GitHub

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Avaliação

Dificuldade
4/5
Tempo estimado
3-5 dias
Facilidade para iniciantes
38/100
Tipo de issue
Refatoração
Clareza
Razoavelmente clara
Status de atividade
Estagnada
Stack de tecnologia
docker, python
Domínio
devops, tooling

Direção de pesquisa

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.

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Descrição

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.

Linguagem predominante
Python
Estrelas
17
Forks
27
Nenhum PR com merge em 30d

Guia de contribuição

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Primeiros passos

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  3. Faça um fork do repositório e trabalhe em uma branch.
  4. Abra um pull request que referencie o número da issue.

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