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

## Project description

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:

~/\$ pip install asciigraf

## Usage

Asciigraf expects a string containg a 2-d ascii diagram. Nodes can be an alphanumeric string composed of characters in A-Z, a-z, 0-9, and _, {, }. Edges can be composed of -, /, \ and |.

import asciigraf

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

print(network)
>>> <networkx.classes.graph.Graph at 0x7f24c3a8b470>

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

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

Networkx provides tools to attach data to 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 where on the (x, y) plane each node starts ( 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

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)]

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.

network = asciigraf.graph_from_ascii("""

A---(nuts)----B----(string)---C
|
|
|
D---(string)----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"])
>>> string

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

Have fun!

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
""")

## Project details

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