This content originally appeared on HackerNoon and was authored by ViAchKoN
\
Backstory
Recently, I decided to create my first Python package and publish it to PyPI. After a month of writing and testing code, I finally prepared everything for publication. Because this was new for me, I encountered several pitfalls along the way, so I decided to share the steps on how you can do the same.
\ You can check my package on GitHub or Pypi.
\ Note: In this article, I will discuss how to create and prepare a package for publication using Poetry. Poetry automates many tasks for you. If you prefer to manually prepare the package, you can refer to the guide.
Prepare an Account on PyPi
First things first. You need an account. Go to https://pypi.org/ to create the account and finish its setup.
Generate an API Token on PyPi
To publish a package on PyPI, you will need to generate a token for your account.
\ Once you are registered on PyPI, go to your account page, scroll down to the API tokens section, and click the Generate API token button. Choose a name and the scope for the token.
\ If you don't have any projects on PyPI, you will only be able to create an account-scoped API token, which will be used to publish new packages. Save the API token. We will need it later.
Prepare a Project
First, create a folder where the package files will be stored. Next, create a Python virtual environment. I prefer to create the virtual environment in the project's folder, but poetry provides the option to create it in {cache-dir}/virtualenvs.
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python3 -m venv .venv
source .venv/bin/activate
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After creating the virtual environment, we need to install and initialize poetry.
pip install poetry
poetry init
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Poetry will ask you to set several settings during the initialization, which you can change later manually. As a result, a file called pyproject.toml will be generated.
\ This is the most important file, responsible for the project's operation and dependency management.
\ It should look something like this:
[tool.poetry]
name = "pypi-poetry-publish-example"
version = "0.1.0"
description = ""
authors = ["Author <email@email.com>"]
readme = "README.md"
packages = [{include = "pypi_poetry_publish_example"}]
[tool.poetry.dependencies]
python = "^3.10"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
\ Let's explain some fields in the file:
name- is the name of the project. By default, it is the name of the folder where poetry was initialized.
\
version- project's version. It will be used for versioning when the package will be published.
\
python- python version required for the project.
\
build-system- the system that is used for building source distributions or wheels from them.
\
readme- a filename that will be used for package description. If it is set here, you need to create it in the root.
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After we have prepared poetry, we will create a new folder called pypi_poetry_publish_example where package files will be stored. Inside the folder, we will create a file core.py.
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Important: The name of the folder where the package files are stored should be the same as the name set in pyproject.toml, written in camel case.
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In our case: pypi-poetry-publish-example(pyproject.toml) -> pypipoetrypublish_example (folder name)
# core.py
PREPEND_STR = 'prepend_'
def modify_str(string: str) -> str:
return f'{PREPEND_STR}{string}'
\
Additionally, it is a good idea to add a LICENSE file. The MIT license is commonly used.
\ Finally, we need to save what versions of packages have been installed:
poetry lock
\ As a result, the project structure should look like this:
pypi-poetry-publish-example/
├── LICENSE
├── poetry.lock
├── pyproject.toml
├── README.md
├── pypi_poetry_publish_example/
├── __init__.py
└── core.py
\
Build and Publish the Package
Our project is ready to be published, but before that, we need to build the source and wheel archives.
\ To do this, we use the following command:
poetry build
\ Before we publish the package, we need to set the API token:
poetry config pypi-token.pypi pypi-XXXXXXXX
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where pypi-XXXXXXXX is the API token generated in your account.
\ This will create the required files to be published; to upload them to Pypi, use:
poetry publish
\ Congratulations! Your package has been uploaded, and it can be verified by visiting the projects page.
\ Now, it can be installed using:
pip install pypi-poetry-publish-example
Extra Dependencies
There were no dependencies added in the example.
\ Dependencies can be added using Poetry if needed.
\
After installation, they will be added to tool.poetry.dependencies and will be required by the package.
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You might have seen commands like pip install somepackage[extra]. This parameter will install the extra optional features which won't be automatically added if only the command pip install somepackage is applied.
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To do this in your project, you need to add the optional flag to the dependency you want to make optional, and add it to [tool.poetry.extras]. The pyproject.toml with the optional package pydantic will look like this:
[tool.poetry]
name = "pypi-poetry-publish-example"
version = "0.1.0"
description = ""
authors = ["Author <email@email.com>"]
readme = "README.md"
packages = [{include = "pypi_poetry_publish_example"}]
[tool.poetry.dependencies]
python = "^3.10"
pydantic = {version=">=1.9", optional = true}
[tool.poetry.extras]
pydantic = ["pydantic"]
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
\ \ \
This content originally appeared on HackerNoon and was authored by ViAchKoN
ViAchKoN | Sciencx (2024-08-04T12:45:12+00:00) Step-by-Step Guide to Publishing Your First Python Package on PyPI Using Poetry: Lessons Learned. Retrieved from https://www.scien.cx/2024/08/04/step-by-step-guide-to-publishing-your-first-python-package-on-pypi-using-poetry-lessons-learned/
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