py2dag 0.3.11

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

py2dag

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

Features

• Writes plan.json with explicit nodes and edges for downstream tools.
• Generates human-readable pseudo code at plan.pseudo.
• Optional exports:
  • --html for an interactive Dagre graph with color-coded nodes.
  • --svg for a Graphviz-rendered SVG.
• Node colors are chosen deterministically so the same op type is colored consistently across runs.

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  # interactive HTML
py2dag path/to/your_file.py --svg   # Graphviz SVG

• 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/--svg is used, plan.html or plan.svg.

• Function name: By default the tool auto-detects a suitable function in the file. To target a specific function, pass --func NAME.

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, commit, and tag locally; then push tags to trigger the workflow:

make patch        # bumps version, commits, and tags vX.Y.Z
make release      # pushes commits and tags to GitHub (triggers publish)

Or push tags manually:

git push --tags

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