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Python packaging and distribution (#26)
* first pass at python packaging and distribution * fix formatting * fix email addresses for commit * don't worry about it * add index.rst files * add max depth * appropriate spacing * 3 spaces is the right amount of space * pull out the terminology section to its own document * fixing headings * Updated formatting and organization * update formatting and logical progression * make it make sense * Fix headings * Update based on reviewer comments and add clarity
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Programming Languages | ||
===================== | ||
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.. toctree:: | ||
:maxdepth: 1 | ||
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python/index |
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Python | ||
===================== | ||
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.. toctree:: | ||
:maxdepth: 1 | ||
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terminology | ||
packaging_and_distribution |
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docs/source/programming_languages/python/packaging_and_distribution.md
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> **Warning:** More information is needed to complete this guideline. | ||
# Python Packaging and Distribution | ||
Examples of Python packaging and distribution options and how to use them. | ||
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## Purpose | ||
> **Warning** Need to add an explanation of how this guideline supports DS workflows, meets internal and external | ||
> policies, and aids in collaboration and our overall success | ||
## Options | ||
The options for Python packaging and distribution that we often see used at LASP are: | ||
- [PyPI](#packaging-for-pypi--pip-install-) | ||
- [Conda](#packaging-for-conda--conda-install-) | ||
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## Packaging for PyPI (`pip install`) | ||
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### PyPI resources: | ||
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- [PyPI Help Page](https://pypi.org/help/) | ||
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- [Setting up a PyPI account](https://pypi.org/account/register/) | ||
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- [Getting a PyPI access token](https://pypi.org/help/#apitoken) | ||
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### Built-In (`build` + `twine`) | ||
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> **Warning**: Need to add introductory paragraph that summarizes Built-In | ||
#### How to use Built-In | ||
Python Packaging User Guide: https://packaging.python.org/en/latest/ | ||
The link below is a fairly complete tutorial. There are also instructions there for using various other build tools: | ||
https://packaging.python.org/en/latest/tutorials/packaging-projects/ | ||
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#### Built-In resources | ||
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- [Python Packaging User Guide](https://packaging.python.org/en/latest/) | ||
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#### Setuptools Example – Library Package | ||
<details> | ||
<summary>setup.py</summary> | ||
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``` | ||
""" | ||
Setup file for the science data processing pipeline. | ||
The only required fields for setup are name, version, and packages. Other fields to consider (from looking at other | ||
projects): keywords, include_package_data, requires, tests_require, package_data | ||
""" | ||
from setuptools import setup, find_packages | ||
# Reads the requirements file | ||
with open('requirements.txt') as f: | ||
requirements = f.read().splitlines() | ||
setup( | ||
name='my_py_library', | ||
version='0.1.0', | ||
author='Jane Doe, John Doe, This is just a str', | ||
author_email='jane.doe@lasp.colorado.edu', | ||
description='Science data processing pipeline for the instrument', | ||
long_description=open('README.md', 'r').read(), # Reads the readme file | ||
python_requires='>=3.8, <4', | ||
url='https://some-git.url', | ||
classifiers=[ | ||
"Natural Language :: English", | ||
"Topic :: Scientific/Engineering", | ||
"Topic :: Scientific/Engineering :: Astronomy", | ||
"Programming Language :: Python :: 3.8", | ||
"Operating System :: MacOS :: MacOS X", | ||
"Operating System :: POSIX :: Linux", | ||
], | ||
packages=find_packages(exclude=('tests', 'tests.*')), | ||
package_data={ | ||
"my_py_library": [ | ||
"some_necessary_config_data.json", | ||
"calibration_data/*" | ||
] | ||
}, | ||
py_modules=['root_level_module_name',], | ||
install_requires=requirements, | ||
entry_points={ | ||
'console_scripts': [ | ||
'run-processing=my_py_library.cli:main', # package.module:function | ||
] | ||
} | ||
) | ||
``` | ||
</details> | ||
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### Poetry | ||
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> **Warning**: Need to add introductory paragraph that summarizes Poetry | ||
[Poetry Build and Publish Docs](https://python-poetry.org/docs/cli/#build) | ||
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How to Publish to PyPI from Poetry | ||
``` | ||
poetry lock | ||
poetry install | ||
poetry version | ||
poetry build | ||
PYPI_USERNAME=__token__ | ||
PYPI_TOKEN=<token-copied-from-pypi-account> | ||
poetry publish # You will be prompted for your PyPI credentials if you don't provide the environment variables | ||
``` | ||
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#### Poetry Project Configuration Example – Library Package | ||
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<details> | ||
<summary>pyproject.toml</summary> | ||
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``` | ||
# pyproject.toml | ||
# See: https://python-poetry.org/docs/pyproject/ | ||
[tool.poetry] | ||
name = "my_python_package" | ||
version = "0.1.0" | ||
description = "Science data processing library and applications for some instrument." | ||
authors = [ # Alphabetical | ||
"Jane Doe <jane.doe@lasp.colorado.edu>", | ||
"John Doe <john.doe@lasp.colorado.edu>" | ||
] | ||
# Configure private PyPI repo to download packages | ||
[[tool.poetry.source]] | ||
name = "lasp-pypi" # This name will be used in the configuration to retrieve the proper credentials | ||
url = "https://artifacts.pdmz.lasp.colorado.edu/repository/lasp-pypi/simple" # URL used to download your private packages | ||
# Dependency specification for core package | ||
[tool.poetry.dependencies] | ||
python = "^3.9" | ||
astropy = "^4.2.1" | ||
h5py = "^3.3.0" | ||
numpy = "^1.21.0" | ||
spiceypy = "^4.0.1" | ||
lasp-packets = "1.2" | ||
requests = "^2.26.0" | ||
SQLAlchemy = "^1.4.27" | ||
psycopg2 = "^2.9.2" | ||
cloudpathlib = {extras = ["s3"], version = "^0.6.2"} | ||
# Development dependencies | ||
[tool.poetry.dev-dependencies] | ||
pytest-cov = "^2.12.1" | ||
pylint = "^2.9.3" | ||
responses = "^0.14.0" | ||
pytest-randomly = "^3.10.2" | ||
moto = {extras = ["s3"], version = "^2.2.16"} | ||
# Script entrypoints to put in installed bin directory | ||
[tool.poetry.scripts] | ||
sdp = 'my_python_package.cli:main' | ||
# Poetry boilerplate | ||
[build-system] | ||
requires = ["poetry-core>=1.0.0"] | ||
build-backend = "poetry.core.masonry.api" | ||
``` | ||
</details> | ||
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## Packaging for Conda (`conda install`) | ||
> **Warning**: Need a volunteer to expand on Conda | ||
### How to install and use Conda | ||
https://conda.io/projects/conda-build/en/latest/user-guide/tutorials/build-pkgs.html | ||
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> Conda Develop: | ||
> There is a conda subcommand called `conda develop`, but it is not actively maintained. The maintainers of | ||
conda recommend using `pip install` to install an editable package in development mode. | ||
> See: https://github.com/conda/conda-build/issues/1992 | ||
## Useful Links | ||
Here are some helpful resources: | ||
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- [Python Packaging User's Guide](https://packaging.python.org/en/latest/) | ||
- [The Hitchhiker's Guide to Python - Packaging your Code](https://docs.python-guide.org/shipping/packaging/) | ||
- [The Sheer Joy of Packaging](https://python-packaging-tutorial.readthedocs.io/en/latest/index.html) | ||
- [Package Python Projects the Proper Way with Poetry](https://hackersandslackers.com/python-poetry-package-manager/) | ||
- [Poetry Documentation](https://python-poetry.org/docs/) | ||
- [Setuptools Documentation](https://setuptools.pypa.io/en/latest/) | ||
- [Building conda packages from scratch](https://conda.io/projects/conda-build/en/latest/user-guide/tutorials/build-pkgs.html) | ||
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Credit: Content taken from a Confluence guide written by Gavin Medley |
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# Python Terminology | ||
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Some Python terminology that a user might encounter, particularly when working through this Python guide. | ||
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## Purpose | ||
Like all programming languages, Python has some terminology that is unique to it and it is helpful to have that language | ||
explained. This page may be updated over time so that it holds the most useful terminology to those that use this | ||
developer's guide. | ||
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### Library Packages vs Applications vs Scripts | ||
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Python is a highly flexible interpreted language. This means it's easy to get started, quick to write, and easy to run. | ||
Unfortunately, this also means it's very easy to write code that works in one context but not in others or code that is | ||
robust but isn't designed to be inherited. | ||
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**Package**: A `python` package, intended for redistribution, containing objects that serve as building blocks for | ||
other developers to use. Examples are `numpy`, `pytest`, and `sqlalchemy`. | ||
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> **Note** While most people think of a Python package as the above definition, a Python "package" is technically | ||
> any directory containing an `__init__.py` file. | ||
**Application**: A python project (which may or may not be a packaged distribution) that provides specific and possibly | ||
configurable functionality. Examples are Poetry, the AWS CLI, the Conda CLI, the Green Unicorn WSGI HTTP server, any | ||
Django "app". | ||
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**Script**: Pretty much anything else written in Python. One could arguably say that a Script is just a trivial Application | ||
with little configuration or portability. Scripts are usually run with `python my_script.py argv`. They tend to be | ||
difficult to maintain, update, or distribute. | ||
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**Packaging Tooling**: Not only managing a local environment, but also providing tooling for developing, building, and | ||
distributing python packages for other users. While Conda does support this use case (it's how one creates and | ||
distributes conda packages to `conda-forge`), Poetry and `setuptools` are much easier to develop with (for PyPI) and Poetry | ||
boasts a similar dependency resolver to Conda. One major drawback to Conda in packaging is that there is no notion of an | ||
"editable install" so the developer is forced to build and test end user functionality (e.g. script entrypoints) over | ||
and over instead of simply making code changes in place. | ||
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## Useful Links | ||
Helpful links to additional resources on the topic | ||
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Credit: Content taken from a Confluence guide written by Gavin Medley |
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