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poetry

  • python-poetry/poetry
    • MIT, Python
  • pyproject.toml <- setup.py, requirements.txt, setup.cfg, MANIFEST.in, Pipfile
brew install poetry # by macOS Homebrew
pip install poetry  # by pip

poetry init           # for existing project
poetry new my-project # for new project

# brew install [email protected]
python3.12 --version # 修改 python 版本
poetry env use python3.12

poetry run which python # venv
poetry run python --version

poetry self update # update poetry

poetry config --list # 查看配置

# POETRY_VIRTUALENVS_PATH
poetry config virtualenvs.path # 查看 virtualenvs 路径
# 可以考虑不提交 poetry.toml 到仓库
poetry config virtualenvs.create false --local    # 项目维度配置 poetry.toml
poetry config virtualenvs.in-project true --local # 推荐 - 创建到 .venv 而不是 {cache-dir}/virtualenvs

Configuration​

  • 配置 POETRY_CONFIG_DIR, cache-dir
    • ~/Library/Application Support/pypoetry
    • %APPDATA%\pypoetry
    • $XDG_CONFIG_HOME/.config/pypoetry
    • ~/.config/pypoetry
  • 数据 POETRY_HOME, POETRY_DATA_DIR
    • $XDG_DATA_HOME/pypoetry, ~/.local/share/pypoetry
    • %APPDATA%\pypoetry
    • ~/Library/Application Support/pypoetry
  • 缓存目录 POETRY_CACHE_DIR
    • Linux: $XDG_CACHE_HOME/pypoetry, ~/.cache/pypoetry
    • Windows: %LOCALAPPDATA%\pypoetry
    • macOS: ~/Library/Caches/pypoetry
  • 参考

system site-packages​

python -m venv --system-site-packages .venv
poetry env use .venv/bin/python

Monorepo​

FAQ

using requirements.txt​

[project]
dynamic = ["dependencies", "optional-dependencies"]
[tool.setuptools.dynamic]
dependencies = {file = ["requirements.txt"]}
optional-dependencies = {dev = { file = ["requirements-dev.txt"] }}

Docker​

Torch CPU only​

pip install torch --index-url https://download.pytorch.org/whl/cpu
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu

# TORCH_ARCH cu116
poetry run pip install torch==2.5.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
poetry source add --priority explicit pytorch https://download.pytorch.org/whl/cpu
poetry add --source pytorch torch touchvision

poetry add --source pytorch torch=2.5.0+cpu

支持切换的配置方式


[tool.poetry.group.cpu]
optional = true

[tool.poetry.group.cpu.dependencies]
torch = { version = "^2.5.0", source = "pytorch-cpu", markers = "extra=='cpu' and extra!='gpu'" }

[tool.poetry.group.gpu]
optional = true

[tool.poetry.group.gpu.dependencies]
torch = { version = "^2.5.0", source = "pytorch-gpu", markers = "extra=='gpu' and extra!='cpu'" }

[tool.poetry.extras]
cpu = ["torch", "torchvision"]
gpu = ["torch", "torchvision"]

[[tool.poetry.source]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
priority = "explicit"

[[tool.poetry.source]]
name = "pytorch-gpu"
url = "https://download.pytorch.org/whl/cu121"
priority = "explicit"

[[tool.poetry.source]]
name = "pytorch-cuda"
url = "https://download.pytorch.org/whl/cu121"
priority = "explicit"
poetry install -E cpu --with cpu --sync

poetry install -E gpu --with gpu --sync

只初始化 venv​

poetry run echo "Venv initialized"

用于先有 venv, 然后需要使用 pip 安装部分依赖, 然后再使用 poetry 安装的场景

# 进入 venv 环境
poetry shell