py2dag 0.1.4

Convert Python function plans to DAG (JSON, pseudo, optional SVG).

py2dag

Convert Python function plans to a DAG (JSON, pseudo, optional SVG).

Install

• From PyPI (once published):

pip install py2dag

• From source using Makefile targets (recommended for development):

make setup         # create .venv and install deps (SVG extra by default)

Dev Environment via Makefile

• Install Poetry (see poetry docs or pipx install poetry).
• From the repo root:

poetry install

Notes:

• HTML export uses Dagre via CDN (d3.js + dagre-d3). No local system deps, but an internet connection is required when opening plan.html. If you are offline or behind a firewall, the page will show a message; vendor the JS locally or open with internet access.
• Optional Graphviz SVG export (--svg) requires Graphviz system binaries (e.g., brew install graphviz).

Local Virtualenv (.venv)

• Create/update venv and install deps: make setup
• Open interactive shell inside venv: make shell
• .venv/ is ignored by git.

Usage

• Run via Makefile (dev) — generates an interactive Dagre HTML graph:

make run FILE=path/to/your_file.py ARGS=--html

• Run the installed CLI (after pip install py2dag):

py2dag path/to/your_file.py --html

• Or directly with Python (inside venv):

poetry run python cli.py path/to/your_file.py --html

This generates plan.json, plan.pseudo, and if --html is used, plan.html.

Offline HTML (no internet)

plan.html references d3 and dagre-d3 from CDNs. To view graphs fully offline, download those files and place them next to plan.html, then edit the two <script> tags in py2dag/export_dagre.py to point at your local copies.

Example (download once):

wget https://d3js.org/d3.v5.min.js -O d3.v5.min.js
wget https://unpkg.com/dagre-d3@0.6.4/dist/dagre-d3.min.js -O dagre-d3.min.js

Then update the script tags to ./d3.v5.min.js and ./dagre-d3.min.js and regenerate plan.html.

Tests

Run tests using the Makefile (prints visible with -s):

make test

Build

Build the package artifacts (wheel and sdist):

make build

Releasing to PyPI

This repo includes a GitHub Actions workflow that publishes to PyPI when you push a Git tag like v0.1.1.

1. In GitHub repo settings, add a repository secret named PYPI_API_TOKEN with your PyPI token (format: pypi-***).

2. Bump patch version, create tag, and push it (this triggers the workflow):

make release

Or do individual steps:

make bump-patch
make tag
make push-tags

You can also install from the local build with pip install dist/*.whl.