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Metadata-Version: 2.4
Name: pyproject-metadata
Version: 0.10.0
Summary: PEP 621 metadata parsing
Author-email: Filipe Laíns <lains@riseup.net>
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-Expression: MIT
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
License-File: LICENSE
Requires-Dist: packaging>=23.2
Project-URL: changelog, https://pep621.readthedocs.io/en/stable/changelog.html
Project-URL: homepage, https://github.com/pypa/pyproject-metadata
# pyproject-metadata
[![pre-commit.ci status][pre-commit-badge]][pre-commit-link]
[![checks][gha-checks-badge]][gha-checks-link]
[![tests][gha-tests-badge]][gha-tests-link]
[![codecov][codecov-badge]][codecov-link]
[![Documentation Status][rtd-badge]][rtd-link]
[![PyPI version][pypi-version]][pypi-link]
> Dataclass for PEP 621 metadata with support for [core metadata] generation
This project does not implement the parsing of `pyproject.toml` containing PEP
621 metadata.
Instead, given a Python data structure representing PEP 621 metadata (already
parsed), it will validate this input and generate a PEP 643-compliant metadata
file (e.g. `PKG-INFO`).
## Usage
After
[installing `pyproject-metadata`](https://pypi.org/project/pyproject-metadata/),
you can use it as a library in your scripts and programs:
```python
from pyproject_metadata import StandardMetadata
parsed_pyproject = {...} # you can use parsers like `tomli` to obtain this dict
metadata = StandardMetadata.from_pyproject(parsed_pyproject, allow_extra_keys=False)
print(metadata.entrypoints) # same fields as defined in PEP 621
pkg_info = metadata.as_rfc822()
print(str(pkg_info)) # core metadata
```
## SPDX licenses (METADATA 2.4+)
If `project.license` is a string or `project.license-files` is present, then
METADATA 2.4+ will be used. A user is expected to validate and normalize
`metadata.license` with an SPDX validation tool, such as the one being added to
`packaging`. Add something like this (requires packaging 24.2+):
```python
if isinstance(metadata.license, str):
metadata.license = packaging.licenses.canonicalize_license_expression(
metadata.license
)
```
A backend is also expected to copy entries from `project.license_files`, which
are paths relative to the project directory, into the `dist-info/licenses`
folder, preserving the original source structure.
## Dynamic Metadata (METADATA 2.2+)
Pyproject-metadata supports dynamic metadata. To use it, specify your METADATA
fields in `dynamic_metadata`. If you want to convert `pyproject.toml` field
names to METADATA field(s), use
`pyproject_metadata.pyproject_to_metadata("field-name")`, which will return a
frozenset of metadata names that are touched by that field.
## Adding extra fields
You can add extra fields to the Message returned by `to_rfc822()`, as long as
they are valid metadata entries.
## Collecting multiple errors
You can use the `all_errors` argument to `from_pyproject` to show all errors in
the metadata parse at once, instead of raising an exception on the first one.
The exception type will be `pyproject_metadata.errors.ExceptionGroup` (which is
just `ExceptionGroup` on Python 3.11+).
## Validating extra fields
By default, a warning (`pyproject_metadata.errors.ExtraKeyWarning`) will be
issued for extra fields at the project table. You can pass `allow_extra_keys=`
to either avoid the check (`True`) or hard error (`False`). If you want to
detect extra keys, you can get them with `pyproject_metadata.extra_top_level`
and `pyproject_metadata.extra_build_system`. It is recommended that build
systems only warn on failures with these extra keys.
## Validating classifiers
If you want to validate classifiers, then install the `trove_classifiers`
library (the canonical source for classifiers), and run:
```python
import trove_classifiers
metadata_classifieres = {
c for c in metadata.classifiers if not c.startswith("Private ::")
}
invalid_classifiers = set(metadata.classifiers) - trove_classifiers.classifiers
# Also the deprecated dict if you want it
dep_names = set(metadata.classifiers) & set(trove_classifiers.deprecated_classifiers)
deprecated_classifiers = {
k: trove_classifiers.deprecated_classifiers[k] for k in dep_names
}
```
If you are writing a build backend, you should not validate classifiers with a
`Private ::` prefix; these are only restricted for upload to PyPI (such as
`Private :: Do Not Upload`).
Since classifiers are a moving target, it is probably best for build backends
(which may be shipped by third party distributors like Debian or Fedora) to
either ignore or have optional classifier validation.
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[core metadata]: https://packaging.python.org/specifications/core-metadata/
[gha-checks-link]: https://github.com/pypa/pyproject-metadata/actions/workflows/checks.yml
[gha-checks-badge]: https://github.com/pypa/pyproject-metadata/actions/workflows/checks.yml/badge.svg
[gha-tests-link]: https://github.com/pypa/pyproject-metadata/actions/workflows/tests.yml
[gha-tests-badge]: https://github.com/pypa/pyproject-metadata/actions/workflows/tests.yml/badge.svg
[pre-commit-link]: https://results.pre-commit.ci/latest/github/pypa/pyproject-metadata/main
[pre-commit-badge]: https://results.pre-commit.ci/badge/github/pypa/pyproject-metadata/main.svg
[codecov-link]: https://codecov.io/gh/pypa/pyproject-metadata
[codecov-badge]: https://codecov.io/gh/pypa/pyproject-metadata/branch/main/graph/badge.svg?token=9chBjS1lch
[pypi-link]: https://pypi.org/project/pyproject-metadata/
[pypi-version]: https://badge.fury.io/py/pyproject-metadata.svg
[rtd-link]: https://pep621.readthedocs.io/en/latest/?badge=latest
[rtd-badge]: https://readthedocs.org/projects/pep621/badge/?version=latest
<!-- prettier-ignore-end -->