#!/usr/bin/python import pygraphviz as pgv import json import argparse # These are the attributes to use for color-coding the graphs # fixme: make these configurable # Relationship types... feel free to edit to suit your poly family's needs relationship_colors = { 'stable': 'blue', 'developing': 'red' } # Three gender colours, so that we encapsulate masculine, feminine, and a catch-all for other identities # If you'd rather explicitly colour-code other identities, just add them :) gender_colors = { 'm': 'blue', 'f': 'pink', 'o': 'green', } # This represents whether a particular relationship involves any # std risk. The values are applied to the edge 'style' attribute. sti_styles = { 'yes': 'solid', 'no': 'dashed', } def parse_args(): parser = argparse.ArgumentParser(description='Generate graphs of polyamorous family networks from data files') parser.add_argument('--input', '-i', default='network.json', help='Input file in json format') parser.add_argument('--output', '-o', default='network.png', help='Output image file. Format auto-detected from file extension') parser.add_argument('--gender', '-g', action='store_true', help='Enable gender in output graph') parser.add_argument('--relationship-types', '-rt', action='store_true', help='Enable relationship details (std risk, relationship type) in output graph') return parser.parse_args() def main(): settings = parse_args() try: data = json.load(open(settings.input, 'r')) except Exception as e: print "Error parsing data file: " + str(e) return graph = pgv.AGraph() graph.graph_attr['overlap'] = 'prism' graph.node_attr['style'] = 'filled' graph.edge_attr['arrowsize'] = 0.5 # Add nodes to graph gender_color = 'white' for user in data['members']: if settings.gender: gender_color = gender_colors[user['gender']] graph.add_node(user['name'], fillcolor=gender_color) # Add edges to graph sti_style = 'solid' relationship_color = 'black' for (member1,member2,rel,sti) in data['relationships']: if settings.relationship_types: sti_style = sti_styles[sti] relationship_color = relationship_colors[rel] graph.add_edge(member1, member2, style=sti_style, color=relationship_color) graph.layout() graph.draw(settings.output) if __name__ == '__main__': main()