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Contributing

This project is based on Geronimo-iaa's Python Template. This is a cookiecutter template for a typical Python library following modern packaging conventions. It utilizes popular libraries to fully automate all development and deployment tasks.

Setup

Requirements

You will need:

Make Installation

A powerfull tool:

Pyenv Installation

Pyenv will manage all our python version. Follow https://github.com/pyenv/pyenv#installation

Python Installation

Do:

$ pyenv install 3.7

Note for MacOS 10.14 user:

  SDKROOT=/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.14.sdk MACOSX_DEPLOYMENT_TARGET=10.14 pyenv install 3.7.3

Poetry Installation: https://poetry.eustace.io/docs/#installation

Poetry will manage our dependencies and create our virtual environment for us.

Confirm Installation

To confirm these system dependencies are configured correctly:

$ make doctor

Development Tasks

Manual

Install project dependencies

$ make install

Note:

  • this target create a dummy file .install. The makefile rule depends on pyproject.toml and poetry.lock file
  • if for whatever reason, you have to force installation, just remove this .install file and execute a make install

Run the tests

$ make test

Run static analysis

$ make check

Build the documentation

$ make docs

Build the package

$ make build

Ontain help

For help:

$ make help

Integration With Visual Studio Code

Even if we use fabulous tool like pyenv, poetry, ... at the end, we just want to go on, and code.

So here, few detail of my installation.

  • .bashrc

    # init pyenv with default python version
if command -v pyenv 1>/dev/null 2>&1; then
eval "$(pyenv init -)"
fi

# add poetry in path
export PATH="$HOME/.poetry/bin:$PATH"

# Add Visual Studio Code (code)
export PATH="$PATH:/Applications/Visual Studio Code.app/Contents/Resources/app/bin"

  • poetry configuration: all is let with default

  • How Launch Visual Studio Code within virtual environment created by poetry ? After do a make install, you have to do:

    poetry shell
code .

    poetry shell will activate project virtual environment.

Continuous Integration

The CI server will report overall build status:

$ make ci

Release Tasks

Release to PyPI:

$ make publish