richreports

Library that supports the construction of human-readable, interactive static analysis reports that consist of decorated concrete syntax representations of programs.


License
MIT
Install
pip install richreports==0.2.0

Documentation

richreports

Library that supports the construction of human-readable, interactive static analysis reports that consist of decorated concrete syntax representations of programs.

PyPI version and link. Read the Docs documentation status. GitHub Actions status. Coveralls test coverage summary.

Installation and Usage

This library is available as a package on PyPI:

The library can be imported in the usual way:

Examples

This library supports the enrichment of concrete syntax strings with delimiters. A report_ instance can be created from a concrete string and then enriched:

This makes it possible to succinctly build up reports that correspond to structured representation formats such as HTML:

Development

All installation and development dependencies are fully specified in pyproject.toml. The project.optional-dependencies object is used to specify optional requirements for various development tasks. This makes it possible to specify additional options (such as docs, lint, and so on) when performing installation using pip:

Documentation

The documentation can be generated automatically from the source files using Sphinx:

Testing and Conventions

All unit tests are executed and their coverage is measured when using pytest (see the pyproject.toml file for configuration details):

Alternatively, all unit tests are included in the module itself and can be executed using doctest:

Style conventions are enforced using Pylint:

Contributions

In order to contribute to the source code, open an issue or submit a pull request on the GitHub page for this library.

Versioning

Beginning with version 0.1.0, the version number format for this library and the changes to the library associated with version number increments conform with Semantic Versioning 2.0.0.

Publishing

This library can be published as a package on PyPI by a package maintainer. First, install the dependencies required for packaging and publishing:

Ensure that the correct version number appears in pyproject.toml, and that any links in this README document to the Read the Docs documentation of this package (or its dependencies) have appropriate version numbers. Also ensure that the Read the Docs project for this library has an automation rule that activates and sets as the default all tagged versions. Create and push a tag for this version (replacing ?.?.? with the version number):

Remove any old build/distribution files. Then, package the source into a distribution archive:

Finally, upload the package distribution archive to PyPI: