pds-template-repo-python

This is the template repository for PDS's Python projects.

This repository aims at being a base for new python repositories used in PDS. It guides developers to ease the initialization of a project and recommends preferred options to standardize developments and ease maintenance. Simply click the Use this template button ↑ (or use this hyperlink).

🏃 Getting Started With This Template

See our wiki page for more info on setting up your new repo. You can remove this section once you have completed the necessary start-up steps.

https://github.com/NASA-PDS/nasa-pds.github.io/wiki/Git-and-Github-Guide#creating-a-new-repo

👉 Important! You must assign the teams as mentioned on the wiki page above! At a minimum, these are:

Team	Permission
@NASA-PDS/pds-software-committers	write
@NASA-PDS/pds-software-pmc	admin
@NASA-PDS/pds-operations	admin

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My Project

This is the XYZ that does this, that, and the other thing for the Planetary Data System.

Please visit our website at: https://nasa-pds.github.io/pds-my-project

It has useful information for developers and end-users.

Prerequisites

Include any system-wide requirements (brew install, apt-get install, yum install, …) Python 3 should be used regardless as Python 2 reached end-of-life on January 1st, 2020.

User Quickstart

Install with:

pip install my_pds_module

If possible, make it so that your program works out of the box without any additional configuration—but see the Configuration section for details.

To execute, run:

(put your run commands here)

Code of Conduct

All users and developers of the NASA-PDS software are expected to abide by our Code of Conduct. Please read this to ensure you understand the expectations of our community.

Development

To develop this project, use your favorite text editor, or an integrated development environment with Python support, such as PyCharm.

Contributing

For information on how to contribute to NASA-PDS codebases please take a look at our Contributing guidelines.

Installation

Install in editable mode and with extra developer dependencies into your virtual environment of choice:

pip install --editable '.[dev]'

Configure the pre-commit hooks:

pre-commit install && pre-commit install -t pre-push

Packaging

To isolate and be able to re-produce the environment for this package, you should use a Python Virtual Environment. To do so, run:

python -m venv venv

Then exclusively use venv/bin/python, venv/bin/pip, etc. (It is no longer recommended to use venv/bin/activate.)

If you have tox installed and would like it to create your environment and install dependencies for you run:

tox --devenv <name you'd like for env> -e dev

Dependencies for development are specified as the dev extras_require in setup.cfg; they are installed into the virtual environment as follows:

pip install --editable '.[dev]'

All the source code is in a sub-directory under src.

You should update the setup.cfg file with:

• name of your module
• license, default apache, update if needed
• description
• download url, when you release your package on github add the url here
• keywords
• classifiers
• install_requires, add the dependencies of you package
• extras_require, add the development Dependencies of your package
• entry_points, when your package can be called in command line, this helps to deploy command lines entry points pointing to scripts in your package

For the packaging details, see https://packaging.python.org/tutorials/packaging-projects/ as a reference.

Configuration

It is convenient to use ConfigParser package to manage configuration. It allows a default configuration which can be overwritten by the user in a specific file in their environment. See https://pymotw.com/2/ConfigParser/

For example:

candidates = ['my_pds_module.ini', 'my_pds_module.ini.default']
found = parser.read(candidates)

Logs

You should not use print()vin the purpose of logging information on the execution of your code. Depending on where the code runs these information could be redirected to specific log files.

To make that work, start each Python file with:

import logging

logger = logging.getLogger(__name__)

To log a message:

logger.info("my message")

In your main routine, include:

logging.basicConfig(level=logging.INFO)

to get a basic logging system configured.

Tooling

The dev extras_require included in the template repo installs black, flake8 (plus some plugins), and mypy along with default configuration for all of them. You can run all of these (and more!) with:

tox -e lint

Code Style

So that your code is readable, you should comply with the PEP8 style guide. Our code style is automatically enforced in via black. See the Tooling section

Recommended Libraries

Python offers a large variety of libraries. In PDS scope, for the most current usage we should use:

Library	Usage
configparser	manage and parse configuration files
argparse	command line argument documentation and parsing
requests	interact with web APIs
lxml	read/write XML files
json	read/write JSON files
pyyaml	read/write YAML files
pystache	generate files from templates

Some of these are built into Python 3; others are open source add-ons you can include in your requirements.txt.

Tests

This section describes testing for your package.

A complete "build" including test execution, linting (mypy, black, flake8, etc.), and documentation build is executed via:

tox

Unit tests

Your project should have built-in unit tests, functional, validation, acceptance, etc., tests.

For unit testing, check out the unittest module, built into Python 3.

Tests objects should be in packages test modules or preferably in project 'tests' directory which mirrors the project package structure.

Our unit tests are launched with command:

pytest

If you want your tests to run automatically as you make changes start up pytest in watch mode with:

ptw

Integration/Behavioral Tests

One should use the behave package and push the test results to "testrail".

See an example in https://github.com/NASA-PDS/pds-doi-service#behavioral-testing-for-integration--testing

Documentation

Your project should use Sphinx to build its documentation. PDS' documentation template is already configured as part of the default build. You can build your projects docs with:

python setup.py build_sphinx

You can access the build files in the following directory relative to the project root:

build/sphinx/html/

Build

pip install wheel
python setup.py sdist bdist_wheel

Publication

NASA PDS packages can publish automatically using the Roundup Action, which leverages GitHub Actions to perform automated continuous integration and continuous delivery. A default workflow that includes the Roundup is provided in the .github/workflows/unstable-cicd.yaml file. (Unstable here means an interim release.)

Manual Publication

Create the package:

python setup.py sdist

Publish it as a Github release.

Publish on pypi (you need a pypi account and configure $HOME/.pypirc):

pip install twine
twine upload dist/*

Or publish on testpypi (you need a testpypi account and configure $HOME/.pypirc):

pip install twine
twine upload --repository testpypi dist/*