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Python bindings for Rudof

Project description

pyrudof - Python bindings for Rudof

pyrudof provides Python bindings for rudof, a Rust library for Semantic Web operations.

At a high level it supports:

  • Loading and serializing RDF and PG data.
  • Loading, checking, serializing and validating ShEx schemas.
  • Loading, serializing and validating SHACL shapes.
  • Loading, serializing and validating PGSchemas.
  • Loading, running and serializing SPARQL queries and query results.
  • Converting and comparing schemas between supported formats.
  • Loading and serializing DCTAP and Service Descriptions.
  • Generating synthetic data from schemas.

Installation

Install from PyPI (recommended)

pip install pyrudof

pyrudof is built with PyO3 using abi3 wheels (Python 3.7+ compatible).

Build from source

Building from source requires a working Rust toolchain and Python.

# Clone the repository
git clone https://github.com/rudof-project/rudof.git
cd rudof/python

# Optional but recommended: virtual environment
python -m venv .venv
# Linux/macOS:
source .venv/bin/activate
# Windows PowerShell:
# .\.venv\Scripts\Activate.ps1

# Build and install editable package
pip install maturin
pip install -e .

For a release wheel:

maturin build --release
pip install --force-reinstall target/wheels/pyrudof-*.whl

Architecture and package structure

Package layout

Path Purpose
src/ Rust implementation of the Python bindings (Rudof, RudofConfig, generator APIs, enums, and error mappings).
stubs/pyrudof/ Hand-maintained .pyi type stubs for static type checking and editor support.
examples/ Runnable example scripts organized by category, plus examples.toml manifest metadata.
tests/ Python unittest suite and manifest registry loader for example-based tests.
docs/ Sphinx docs, including the examples page generator (generate_examples_doc.py).
Cargo.toml / pyproject.toml Rust crate and Python build configuration (maturin + PyO3).

Test architecture

Tests are dynamically generated from examples/examples.toml.

Each generated test:

  1. Executes the registered Python example as a subprocess.
  2. Asserts a zero exit code.
  3. Checks configured expected_output substrings (if any).
Component Purpose
tests/test_examples.py Builds dynamic unittest.TestCase classes per category/example.
tests/examples_registry.py Loads and validates examples/examples.toml entries.
examples/examples.toml Single source of truth for metadata and category order.
examples/**/*.py Executable example scripts run by tests and referenced by docs.

Testing

All test commands are run from python/tests.

Run the full suite

cd python/tests
python -m unittest discover -vvv

Run a specific category or test

# All ShEx examples
python -m unittest test_examples.TestShexExamples -v

# All SHACL examples
python -m unittest test_examples.TestShaclExamples -v

# All data generation examples
python -m unittest test_examples.TestGenerateExamples -v

# A single example
python -m unittest test_examples.TestShexExamples.test_shex_validate_inline -v

Run skipped examples

Examples marked with skip_test = true in the manifest are skipped by default.

# Linux/macOS
RUN_SKIPPED_EXAMPLES=1 python -m unittest test_examples -v

# Windows PowerShell
$env:RUN_SKIPPED_EXAMPLES="1"; python -m unittest test_examples -v

Examples and documentation

The examples system is intentionally centralized:

  • examples/examples.toml stores metadata (key, source_file, title, description, category, files, expected_output, skip_test).
  • examples/**/*.py stores the executable code.
  • tests/test_examples.py and docs/generate_examples_doc.py both read from that same manifest.

Available categories

Category Description
rdf RDF loading, serialization, node inspection
sparql SELECT / CONSTRUCT query workflows
shex ShEx loading, validation, and serialization
shacl SHACL loading, validation, extraction, serialization
dctap DCTAP profile handling
endpoint Service description examples
generate Synthetic data generation APIs
utility Config, resets, version, module/error helpers

Add a new example

  1. Create a runnable script under python/examples/ (recommended: place it inside a category subfolder, for example python/examples/shex/my_example.py).
  2. Register it in python/examples/examples.toml.
  3. Run tests from python/tests.
  4. Regenerate and check docs in python/docs.

Manifest template:

[[example]]
key = "my_example"
source_file = "shex/my_example.py"
title = "My Example"
description = "What this example demonstrates"
category = "shex"  # rdf | sparql | shex | shacl | dctap | endpoint | generate | utility
files = { data = "person.ttl" }  # optional referenced files
expected_output = ["Alice"]       # optional substrings (can be empty list)
# skip_test = true                 # optional (network/special runtime)

Build docs locally

cd python/docs
python generate_examples_doc.py --update
python generate_examples_doc.py --check
python -m sphinx -b html . _build/html

Then open python/docs/_build/html/index.html.

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