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https://github.com/opusonesolutions/asciigraf

A python library for making ascii-art into network graphs.
https://github.com/opusonesolutions/asciigraf

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A python library for making ascii-art into network graphs.

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asciigraf
=========

.. image:: https://img.shields.io/badge/License-MIT-yellow.svg
:target: https://opensource.org/licenses/MIT

.. image:: https://badge.fury.io/py/asciigraf.svg
:target: https://pypi.python.org/pypi/asciigraf

.. image:: https://img.shields.io/pypi/pyversions/asciigraf.svg
:target: https://pypi.python.org/pypi/asciigraf

Asciigraf is a python library that turns ascii diagrams of networks into
network objects. It returns a `networkx `__
graph of nodes for each alpha-numeric element in the input text; nodes
are connected in the graph to match the edges represented in the diagram
by ``-``, ``/``, ``\`` and ``|``.

Installation
------------

Asciigraf can be installed from pypi using pip:

.. code::

~/$ pip install asciigraf

Usage
-----

Asciigraf expects a string containg a 2-d ascii diagram. Nodes can be an
alphanumeric string composed of words, sentences and punctuation (for a look at
what is all tested to work, see the `node recognition tests`_). Edges can be
composed of ``-``, ``/``, ``\`` and ``|``.

.. _node recognition tests: https://github.com/opusonesolutions/asciigraf/blob/main/tests/test_node_match.py

.. code:: python

import asciigraf

network = asciigraf.graph_from_ascii("""
NodeA-----
|
|---NodeB
""")

print(network)
>>>

print(network.edges())
>>> [('NodeA', 'NodeB')]

print(network.nodes())
>>> ['NodeA', 'NodeB']

Networkx provides tools to attach data to graphs, nodes and edges, and asciigraf
leverages these in a number of ways; in the example below you can see that
asciigraf uses this to attach a ``x, y`` position tuple to each node
indicating the line/col position of each node ( *0,0* is at the top-left).
It also attaches a ``length`` attribute
to each edge which matches the number of characters in that edge, as well
as a list of positions for each character an edge. In addition, the input data
is attached as a graph attribute ``ascii_string`` for reference.

.. code:: python

print(network.nodes(data=True))
>>> [('NodeA', {'position': (10, 1)}), ('NodeB', {'position': (23, 3)})]

print(network.edges(data=True))
>>> [('NodeA', 'NodeB', OrderedDict([('length', 10), 'points', [...]))]

print(network.edge['NodeA']['NodeB']['points'])
>>> [(15, 1), (16, 1), (17, 1), (18, 1),
(19, 1), (19, 2), (19, 3), (20, 3), (21, 3), (22, 3)]

print(network.graph["ascii_string"])
>>>
NodeA-----
|
|---NodeB

Asciigraf also lets you annotate the edges of graphs using in-line labels ---
denoted by parentheses. The contents of the label will be attached to the edge
on which it is drawn with the attribute name ``label``.

.. code:: python

network = asciigraf.graph_from_ascii("""

A---(nuts)----B----(string)---C
|
|
|
D---(pebbles)----E

""")

print(network.get_edge_data("A", "B")["label"])
>>> nuts

print(network.get_edge_data("B", "C")["label"])
>>> string

print(network.get_edge_data("D", "E")["label"])
>>> pebbles

print(hasattr(network.get_edge_data("B", "D"), "label"))
>>> False

Have fun!

.. code:: python

import asciigraf

network = asciigraf.graph_from_ascii("""
s---p----1---nx
/ | |
/ | 0---f
6l-a c--
/ | \--k
/ ua | 9e
q \ | /
\-r7z jud
\ |
m y
\ |
v-ow
""")