semantic-state-machine-graphable 0.2.0

A library for visualizing semantic-state-machine structures and AuditContext execution paths as graphs using graphable.

semantic-state-machine-graphable

A library for visualizing semantic-state-machine structures and AuditContext execution paths as graphs using graphable.

Features

• StateMachineGraph: Visualize the static structure of a semantic-state-machine.StateMachine.
• AuditContextGraph: Visualize the execution history of an AuditContext as a graph, with edges annotated by transition indices.

Installation

For Development

The project is managed with uv. To install dependencies:

uv sync

From PyPI

pip install semantic-state-machine-graphable

Testing

The project employs a tiered testing strategy:

• Unit & Integration: Run with pytest.
• Property-based Fuzzing: Run with pytest tests/hypothesis. These are powered by hypothesis and provide robust edge-case coverage.

Run the full test suite:

uv run pytest tests

Usage

State Machine Visualization

from semantic_state_machine_graphable import StateMachineGraph

graph = StateMachineGraph(sm)
# Export to DOT format
dot_output = graph.to_dot()
print(dot_output)

# To visualize with Graphviz, you can use the command line:
# echo '...' | dot -Tpng -o state_machine.png

Execution Path Visualization

from semantic_state_machine_graphable import AuditContextGraph

graph = AuditContextGraph(ctx, sm)
# Export to DOT format
dot_output = graph.to_dot()
print(dot_output)

# To visualize with Graphviz:
# echo '...' | dot -Tpng -o audit_path.png

License

This project is licensed under the MIT License.