Carport

Dependency Graph from Python imports (CARPORT).

Installation

pip install carport

Usage

from carport.core import ImportGraph

depg = ImportGraph(root = '..', project='carport')
# vars(depg)

# specify irrelevant modules
ignore_nodes = ['io', 'IPython', 'pprint', 'subprocess']

# export to dot string
dot = depg.to_dot(ignore_nodes=ignore_nodes)
display(dot)

'digraph  {\n"carport.vis";\n"carport.core";\nnetworkx;\npathlib;\nast;\nkroki;\ngraphviz;\n"carport.vis" -> "carport.core"  [key=0];\nnetworkx -> "carport.core"  [key=0];\npathlib -> "carport.core"  [key=0];\nast -> "carport.core"  [key=0];\nkroki -> "carport.vis"  [key=0];\ngraphviz -> "carport.vis"  [key=0];\n}\n'

# draw graph with graphviz
dotg = depg.draw_dot(ignore_nodes=ignore_nodes)
display(dotg)

# export to d2 string
d2 = depg.to_d2(ignore_nodes=ignore_nodes)
display(d2)

'\n        vars: { \n            d2-config: { \n                layout-engine: elk \n                } \n            }\n        direction: right\n        **.style.border-radius: 99\n        *.style.font: mono\n        \npathlib -> carport.core\ngraphviz -> carport.vis\nsubprocess -> carport.vis\nast -> carport.core\ncarport.vis -> carport.core\nkroki -> carport.vis\nnetworkx -> carport.core\nio -> carport.core\nIPython -> carport.vis\nio: null\nIPython: null\npprint: null\nsubprocess: null'

# draw graph with d2 or kroki
d2g = depg.draw_d2(ignore_nodes=ignore_nodes, app='d2')
display(d2g)

# for large graphs, you can use gravis
#! pip install gravis

import networkx as nx 
import gravis as gv

g = depg.to_nx(ignore_nodes=ignore_nodes)
layout = nx.circular_layout(g, scale=4*len(g)**1.05)
for node_id, (x, y) in layout.items():
    node = g.nodes[node_id]
    node['x'], node['y'] = x, y
gv.d3(g, edge_curvature=1, node_hover_neighborhood = True, use_edge_size_normalization=True)

TODOs:

[] imports concerning __init__.py

[] py_d2 to d2 (like graphviz to graphviz)

Related

import-deps: Github

pydeps: Github

snakefood3: Github

kroki: online editor, python-interface

D2: doc, online editor, python-interface

Statistics

Copyright

Copyright © 2024 onward Felidz. All rights reserved, with certain parts of the project specifically licensed and subject to different terms and conditions, e.g., source code of the project under the Apache-2.0 license; you may not use this project except in compliance with the license.

Citation

BibTeX citation:

@misc{felidz2024,
  author = {Felidz},
  title = {Carport},
  year = {2024},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/felidz/carport}}
}