Skip to main content

Validation library and CLI tool for checking on 'pyproject.toml' files using JSON Schema

Project description

Project generated with PyScaffold Built Status ReadTheDocs Coveralls PyPI-Server

validate-pyproject

Automated checks on pyproject.toml powered by JSON Schema definitions

Description

With the approval of PEP 517 and PEP 518, the Python community shifted towards a strong focus on standardisation for packaging software, which allows more freedom when choosing tools during development and make sure packages created using different technologies can interoperate without the need for custom installation procedures.

This shift became even more clear when PEP 621 was also approved, as a standardised way of specifying project metadata and dependencies.

validate-pyproject was born in this context, with the mission of validating pyproject.toml files, and make sure they are compliant with the standards and PEPs. Behind the scenes, validate-pyproject relies on JSON Schema files, which, in turn, are also a standardised way of checking if a given data structure complies with a certain specification.

Usage

The easiest way of using validate-pyproject is via CLI. To get started, you need to install the package, which can be easily done using pipx:

$ pipx install 'validate-pyproject[all]'

Now you can use validate-pyproject as a command line tool:

# in you terminal
$ validate-pyproject --help
$ validate-pyproject path/to/your/pyproject.toml

You can also use validate-pyproject in your Python scripts or projects:

# in your python code
from validate_pyproject import api, errors

# let's assume that you have access to a `loads` function
# responsible for parsing a string representing the TOML file
# (you can check the `toml` or `tomli` projects for that)
pyproject_as_dict = loads(pyproject_toml_str)

# now we can use validate-pyproject
validator = Validator()

try:
    validator(pyproject_as_dict)
except errors.ValidationError as ex:
    print(f"Invalid Document: {ex.message}")

To do so, don’t forget to add it to your virtual environment or specify it as a project or library dependency.

More details about validate-pyproject and its Python API can be found in our docs, which includes a description of the used JSON schemas, instructions for using it in a pre-compiled way and information about extending the validation with your own plugins.

Note

This project and its sister project ini2toml were initially created in the context of PyScaffold, with the purpose of helping migrating existing projects to PEP 621-style configuration when it is made available on setuptools. For details and usage information on PyScaffold see https://pyscaffold.org/.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

validate-pyproject-0.7.2.tar.gz (103.3 kB view details)

Uploaded Source

Built Distribution

validate_pyproject-0.7.2-py3-none-any.whl (63.9 kB view details)

Uploaded Python 3

File details

Details for the file validate-pyproject-0.7.2.tar.gz.

File metadata

  • Download URL: validate-pyproject-0.7.2.tar.gz
  • Upload date:
  • Size: 103.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for validate-pyproject-0.7.2.tar.gz
Algorithm Hash digest
SHA256 d847c5bcf6725727268a022706cc6f0224221eeb1c4f5c9f620d30a84a38b354
MD5 a7c9b210e9b71208202a5f870717c045
BLAKE2b-256 088d531529ce5c1df6bdc2089183b92ba6f7144f56fa348366dd704ae1c4657f

See more details on using hashes here.

File details

Details for the file validate_pyproject-0.7.2-py3-none-any.whl.

File metadata

File hashes

Hashes for validate_pyproject-0.7.2-py3-none-any.whl
Algorithm Hash digest
SHA256 9b7547f97bf5e528ebc5a3d2c26693b12cfb562592f51a945a1a7aa8f87ff4f5
MD5 f98d1d4db4d2ffde5ded5f54aa8982aa
BLAKE2b-256 752bbb6511aab2b21a69ea8f1594b2743b7d0e4ec555278042a45c12c7eb0125

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page