poetry-monorepo-template

A template with some preferences for a poetry monorepo.

Installation

Set up poetry and pyenv

• Pyenv setup instructions: https://github.com/pyenv/pyenv#installation
• Poetry setup instructions: https://python-poetry.org/docs/#installation

Install Pyenv (macOS and Linux):

curl https://pyenv.run | bash

Follow the instructions to add the following to the end of your shell configuration (~/.zshrc or ~/.bashrc):

export PYENV_ROOT="$HOME/.pyenv"
command -v pyenv >/dev/null || export PATH="$PYENV_ROOT/bin:$PATH"
eval "$(pyenv init -)"

Restart your terminal.

Install Python 3.10 and set as local default:

pyenv install 3.10
pyenv local 3.10

Install Poetry (macOS and Linux)

curl -sSL https://install.python-poetry.org | python -

Follow the instructions to add .local/bin to your path, or just add the following to the end of your shell configuration (~/.zshrc or ~/.bashrc) (make sure to add the full path to your home directory):

export PATH="$HOME/.local/bin:$PATH"

Restart terminal or run

source ~/.bashrc
# or source ~/.zshrc depending on your shell

Check poetry version - should show 1.2.0 or higher

poetry --version

Clone repo

# Clone monorepo to your machine
git clone <repo-url>

# Change into monorepo directory
cd <repo-name>

# Install base package (just for pre-commit hooks)
poetry install

# Install pre-commit hooks
poetry run pre-commit install

Git LFS

Git LFS to store large files in the repo. To install Git LFS, follow the instructions for your OS:

# linux:
curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash
sudo apt-get install git-lfs

# homebrew:
brew install git-lfs

# initialize git lfs
git lfs install

.gitattributes file should take care of the rest.

Installing a subpackage

# Change into package directory
cd projects/test_project # for example

# Set python version
poetry env use 3.11  # for example

# Create virtual env and install dependencies
poetry install # automatically does editable install of current package

# Inspect installed packages and see destination of virtualenv
poetry show -v

Running scripts in poetry

Two options:

• use poetry run e.g. poetry run python <script.py>
• use poetry shell to enter virtualenv and run scripts from there

running jupyter kernels in VSCode

Update your VSCode setting python.venvPath to include your poetry virtualenvs path e.g. ~/.cache/pypoetry/virtualenvs. You can find this path by running poetry env info in your terminal.