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Packaging
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#########
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- A Python package organizes and structures a Python library, which contains several
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- modules and assets such as examples or binary extensions. A Python package
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- offers an easy, reliable, and comprehensive way to distribute and install
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- a Python library on a variety of platforms and environments.
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+
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+ A Python package organizes and structures a Python library, which contains
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+ several modules and assets such as examples or binary extensions. A Python
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+ package offers an easy, reliable, and comprehensive way to distribute and
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+ install a Python library on a variety of platforms and environments.
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+
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+ .. note ::
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+
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+ If you want to create a new PyAnsys project according to the guidelines
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+ presented in the following lines, consider using the `ansys-templates tool `_.
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+
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+
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+ Python Scripts, Modules, Sub-packages, and Packages
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+ ---------------------------------------------------
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+
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+ It is important to understand the difference between Python scripts, modules,
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+ sub-packages, and packages:
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+
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+ * ``Script ``: Any Python file with logic source code.
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+ * ``Module ``: Any Python script hosted next to an ``__init__.py `` file.
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+ * ``Sub-package ``: Any directory containing various Python modules.
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+ * ``Package ``: Any directory containing Python modules and sub-packages.
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+
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+ The following structure is shown to better explain previous concepts:
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+
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+ .. code :: bash
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+
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+ .
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+ ├── src
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+ │ └── package
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+ │ ├── subpackage_a
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+ │ │ ├── __init__.py
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+ │ │ └── module_c.py
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+ │ ├── __init__.py
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+ │ ├── module_a.py
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+ │ └── module_b.py
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+ ├── LICENSE
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+ ├── README.rst
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+ └── pyproject.toml
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+
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Namespace Packaging
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-------------------
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- A PyAnsys library uses `namespace packaging `_.
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- Namespace packages allow a user to easily split subpackages from a package into
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- a single, independent distribution.
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+ A PyAnsys library uses `namespace packaging `_. Namespace packages allow you
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+ to easily split sub-packages from a package into single, independent
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+ distributions.
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+
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+ There are different approaches available for creating a namespace package. For
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+ the ``ansys `` namespace, we use the `PEP 420 `_ `native namespace packages `_
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+ approach.
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+
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+ Therefore, the source directory of any `PyAnsys library ` should look like this:
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+
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+ .. code :: bash
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- Three different approaches are currently available for creating a namespace package:
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+ .
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+ └── src
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+ └── ansys
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+ └── product
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+ └── library
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+ └── __init__.py
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- * `native namespace packages `_
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- * pkgutil-style namespace packages
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- * pkg_resources-style namespace packages
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Required Files
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--------------
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- * README.rst file: Describes the purpose of the package.
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+ * `` README.rst `` file: Describes the purpose of the package.
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*The format of this file must be reStructuredText. *
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- * LICENSE file: Specifies copyrights and required authorization.
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+ * `` LICENSE `` file: Specifies copyrights and required authorization.
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- * setup.py file: Provides package information.
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- The presence of this file indicate that the package was likely created using `` disutils `` ,
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- which is the Python standard for building and distributing a Python package .
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+ * `` pyproject.toml `` file: Provides package metadata and defines how the package
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+ is built. There are different build backends available, such as ` setuptools `_ ,
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+ ` poetry `_, and ` flit `_ .
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+ * ``src/ansys/product/library/__init__.py `` file: Usually contains the
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+ version of the package in a variable named ``__version__ ``. The value of this
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+ variable can be parsed from the ``pyproject.toml `` file so that the version
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+ is only specified in one location.
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- Setup File
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- ----------
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- The `setup.py `_ file is the build script for ``setuptools ``. It exposes dynamic metadata and contains
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- package information, such as a description, author, and version.
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- In this file, the ``setuptools `` module is used to configure the metadata (as opposed to ``distutils ``).
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- .. code :: python
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+ Additional Directories
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+ ----------------------
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+
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+ The following directories may be specified at the same level as the ``src/ `` one:
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+
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+ * ``tests/ ``: Contains all unit tests for the package. It is
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+ likely that these tests take advantage of the `pytest `_ framework.
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+
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+ * ``doc/ ``: Contain all documentation files and examples on
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+ how to use the package.
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+
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+
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+ Project File and Build System
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+ ------------------------------
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+
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+ The ``pyproject.toml `` file is the standardized build configuration file for Python
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+ projects. It must contain at least a ``[build-system] `` section, which determines
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+ how the project is built. Some commonly used packaging tools are `setuptools `_,
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+ `poetry `_, and `flit `_. All three of these packaging tools are currently supported by
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+ the ``pyansys-advanced `` template, which is included in the `ansys-templates tool `_.
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+
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+
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+ Flit
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+ ^^^^
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+
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+ Flit is a modern and lightweight build system that requires developers
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+ to manage virtual environments on their own. Developers must:
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+
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+ * Create a virtual environment and activate it.
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+ * Install the package in editable mode.
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+
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+ Flit is the default tool for creating a new ``pyansys `` project when using the
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+ `ansys-templates tool `_.
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+
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+ The ``[project] `` section specifies the project's metadata and required
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+ dependencies. For more information, see `flit pyproject.toml
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+ guidelines `_.
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+
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- import setuptools
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- setuptools.setup(... )
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+ Poetry
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+ ^^^^^^
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+
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+ Because of its ``poetry.lock `` file, Poetry provides strong dependency pinning. When
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+ installing a package, poetry creates a virtual environment, thus ensuring an isolated
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+ package development environment.
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+
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+ Nevertheless, it is possible to make Poetry ignore the `poetry.lock ` file by running:
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+
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+ .. code :: bash
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+
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+ poetry config virtualenvs.create false --local
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+
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+ Using `poetry `_ is popular because it:
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+
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+ * Supports pinning dependency versions via a ``poetry.lock `` file that can be
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+ used for testing and CI
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+ * Allows downstream packages to still consume a loose dependency specification
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+ * Integrates with `dependabot `_ to update the pinned version
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+
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+ The ``[tool.poetry] `` section contains metadata and defines the project's
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+ dependencies. For more information, see `poetry pyproject.toml documentation `_.
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+
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+
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+ Setuptools
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+ ^^^^^^^^^^
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+
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+ Setuptools is a very well known build system in the Python ecosystem. It is used
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+ in projects requiring a ``setup.py `` file and can be used in projects with a
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+ ``pyproject.toml `` file, although not all metadata in this second file
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+ is fully supported yet.
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+
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+ The main advantage of this build system is the ability to create custom build
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+ steps in the form of Python code.
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+
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+
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+ Specifying Package Version
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+ --------------------------
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+
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+ It is very common for packages to specify their current version in the
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+ ``__version__ `` variable. This variable is usually declared in the
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+ ``__init__.py `` file included in the ``library `` directory.
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+
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+ However, it is also required to specify the version in the ``pyproject.toml `` or
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+ ``setup.py `` file. This leads to a duplicate declaration of the project's version,
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+ which could lead to a potential mismatch between both.
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+
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+ Therefore, a good practice is to take advantage of the `importlib.metadata package `_
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+ for parsing the version from package metadata. This guarantees that there is no mismatch
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+ between both version declarations.
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- This file gathers all namespace packages and files that must be included in the distributed
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- package.
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.. code :: python
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- packages = []
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- for package in setuptools.find_namespace_packages(include = ' ansys*' ):
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- if package.startswith(' ansys.tools.example_coverage' ):
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- packages.append(package)
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+ try :
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+ import importlib.metadata as importlib_metadata
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+ except ModuleNotFoundError :
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+ import importlib_metadata
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+
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+ __version__ = importlib_metadata.version(__name__ .replace(" ." , " -" ))
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+
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+
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+ Extra Tools Configuration
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+ -------------------------
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+
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+ There are plenty of tools in the Python ecosystem that enable developers to
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+ write clean code according to different coding style guidelines. Some of these
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+ tools are `black `_, `isort `_, `flake8 `_, and `mypy `_.
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+
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+ Some of these tools can be configured. This configuration might be specified in
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+ custom files required by the tool or in the ``pyproject.toml `` file, thus reducing the
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+ number of files in the project directory.
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+ .. note ::
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- It also extracts the version number from the ``_version.py `` file located in the
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- ``ansys/<product>/library `` directory of the source code.
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+ When using `setuptools `_ as a build backend, providing the metadata in
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+ the ``pyproject.toml `` file is not yet fully supported. Instead, it also
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+ requires a ``setup.cfg `` file, ``setup.py `` file, or both files.
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+
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+ In the `pyansys template `, all these configurations are included by default in
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+ the ``.pre-commit-config.yaml `` file because ``pre-commit `` is not able to parse the
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+ ``pyproject.toml `` file nor the ``setup.py `` file.
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Generate the Package and Upload It on PyPI
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------------------------------------------
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- The first time that you want to upload a package on PyPI under the `ansys <https://pypi.org/user/ansys/ >`_
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+ The first time that you want to upload a package on PyPI under `ansys <https://pypi.org/user/ansys/ >`_
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account, you must perform the following process manually.
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Create the python package.
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.. code ::
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- python setup.py sdist
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+ pip install build
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+ python -m build
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+
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+ If using flit or poetry, you can also run:
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+
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+ .. code ::
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+
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+ flit build
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+ poetry build
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Verify the distribution's long description rendering with ``twine ``.
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@@ -77,8 +233,14 @@ Verify the distribution's long description rendering with ``twine``.
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pip install twine
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twine check dist/*
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- Upload the package to PyPI using ``twine `` and the upload token generated for the ``ansys `` PyPI account.
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- Contact alexander.kaszynski@ansys.com for the token.
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+
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+ Upload the package to PyPI using ``twine `` and the upload token generated for
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+ the ``ansys `` PyPI account. As soon as the package has been released for the
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+ first time, it is possible to create an independent token dedicated to this
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+ package. This way the token stored in the GitHub secrets and used in the
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+ release's workflow is only related to that specific package. This limits the
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+ exposure to any potential token security flaws. Contact
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+ alexander.kaszynski@ansys.com for the token.
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.. code ::
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@@ -127,7 +289,7 @@ Install a package with:
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.. code ::
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- pip install ansys. <product>. <library>
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+ pip install ansys- <product>- <library>
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To create a package complying with the above standards, here is the minimal content of your PyAnsys library:
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@@ -136,12 +298,26 @@ To create a package complying with the above standards, here is the minimal cont
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ansys/<product>/<library>/__init__.py
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LICENSE
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README.rst
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- setup.py
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+ pyproject.toml
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tests/
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.. _namespace packaging : https://packaging.python.org/guides/packaging-namespace-packages/
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.. _native namespace packages : https://packaging.python.org/guides/packaging-namespace-packages/#native-namespace-packages
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+ .. _PEP 420 : https://www.python.org/dev/peps/pep-0420/
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+ .. _setuptools : https://setuptools.pypa.io
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+ .. _poetry : https://python-poetry.org/docs/
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+ .. _flit pyproject.toml guidelines : https://flit.readthedocs.io/en/latest/pyproject_toml.html
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+ .. _flit : https://flit.readthedocs.io
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+ .. _dependabot : https://docs.github.com/en/code-security/supply-chain-security/keeping-your-dependencies-updated-automatically/about-dependabot-version-updates
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+ .. _ansys-templates tool : https://github.com/pyansys/pyansys-templates
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+ .. _poetry pyproject.toml documentation : https://python-poetry.org/docs/pyproject/
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+ .. _black : https://black.readthedocs.io/en/stable/usage_and_configuration/the_basics.html#configuration-via-a-file
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+ .. _mypy : https://mypy.readthedocs.io/en/stable/config_file.html#the-mypy-configuration-file
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.. _trunk-based development : https://trunkbaseddevelopment.com/
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.. _secret : https://docs.github.com/en/actions/reference/encrypted-secrets
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.. _setup.py : https://packaging.python.org/tutorials/packaging-projects/#configuring-metadata
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+ .. _importlib.metadata package : https://docs.python.org/3/library/importlib.metadata.html
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+ .. _isort : https://github.com/PyCQA/isort
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+ .. _flake8 : https://flake8.pycqa.org/en/latest/
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+ .. _pytest : https://docs.pytest.org/en/latest/
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