Skip to content

Latest commit

 

History

History
47 lines (38 loc) · 3.33 KB

DEV.md

File metadata and controls

47 lines (38 loc) · 3.33 KB
Raw

Development Environment

This doesn't represent the only way to develop on darwin-py, but does represent an easy and configurable way to manage things like underlying dependencies and python versions

Shell environment

No requirement for any particular shell, zsh + oh my zsh is a good setup commonly used, but whatever environment you use make sure to install the recommended alias's and path exports that the below systems require for your particular shell environment, particularly pertinent for poetry which has an added step that it prints to console but isn't included on the webpage.

Pyenv

Pyenv manages system python versions, install instructions can be found here. After installation of pyenv, install a python version that is compatible with darwin-py (3.8-3.10 as of writing)

pyenv install 3.10

If the command pyenv isn't recognized, it hasn't installed to your shell environemnt config file correctly .zshrc .bashrc etc.

Poetry

Poetry manages project level dependencies and local python versions. Install instructions here. Make sure to follow the printed instructions and add the path to your shell environment, if running the command poetry --version after installation doesn't work, it means your path hasn't been updated

New Folder Setup

To Start from scratch and get a development/QA environemnt setup. This process means you will have a fresh python version with only the dependencies required by darwin-py that is uncorrupted by other packages installed on the system python

  • clone darwin py repo
  • navigate to downloaded repo
  • Set pyenv to use a local pyenv local <version> eg pyenv local 3.10
  • Create local environment with poetry poetry shell
  • Install dependencies poetry install

Pyenv + Poetry here get used in conjuction, with pyenv telling the system whenever python is called in a folder that has been set with pyenv local <version> that it should use that local version. Poetry is then set to prefer that local version of python, and to create a per project copy of python to use, it will clone <version> into a .venv folder locally, and install dependencies there. If new environment is required, run rm -rf .venv while inside the project folder, set a new pyenv version if needed and re-run poetry commands

Subsequent Uses

Once a folder is setup, it can easily be reused

  • navigate to folder
  • run poetry shell
  • execute any commands as normal eg python -m darwin.cli ...
  • once complete, close terminal or manually exit shell via exit in terminal

Can also force poetry commands without being in a shell environment by prepending the command with poetry run ... for example

poetry run python -m darwin.cli

Useful Aliases

Aliases can be helpful for testing and development. Add them to your shell configuration file .bashrc .zshrc etc for ease of use and development

DARWIN_PY_DEV="$HOME/Development/darwin-py"
alias dpy="poetry run python -m darwin.cli"
alias dpyt="poetry run python -m pytest -W ignore::DeprecationWarning"
alias dpydb="poetry run python -m debugpy --listen 5678 --wait-for-client $DARWIN_PY_DEV/darwin/cli.py"
  • dpy -> quick way to run darwin
  • dpyt -> calls pytest
  • dpydb -> creates a remote attach debugging instance for vscode to attach to