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"""
Data conversion utility for NetworkX
=====================================
Convert cytoscape.js style graphs from/to NetworkX object.
https://networkx.github.io/
"""
import networkx as nx
# Special Keys
ID = 'id'
NAME = 'name'
DATA = 'data'
ELEMENTS = 'elements'
NODES = 'nodes'
EDGES = 'edges'
SOURCE = 'source'
TARGET = 'target'
DEF_SCALE = 100
def __map_table_data(columns, graph_obj):
data = {}
for col in columns:
if col == 0:
break
data[col] = graph_obj[col]
return data
def __create_node(node, node_id):
new_node = {}
node_columns = node.keys()
data = __map_table_data(node_columns, node)
# Override special keys
data[ID] = str(node_id)
data[NAME] = str(node_id)
if 'position' in node.keys():
position = node['position']
new_node['position'] = position
new_node[DATA] = data
return new_node
def __build_multi_edge(edge_tuple, g):
source = edge_tuple[0]
target = edge_tuple[1]
key = edge_tuple[2]
data = edge_tuple[3]
data['source'] = str(source)
data['target'] = str(target)
data['interaction'] = str(key)
return {DATA: data}
def __build_edge(edge_tuple, g):
source = edge_tuple[0]
target = edge_tuple[1]
data = edge_tuple[2]
data['source'] = str(source)
data['target'] = str(target)
return {DATA: data}
def __build_empty_graph():
return {
DATA: {},
ELEMENTS: {
NODES: [],
EDGES: []
}
}
def from_networkx(g, layout=None, scale=DEF_SCALE):
# Dictionary Object to be converted to Cytoscape.js JSON
cygraph = __build_empty_graph()
if layout is not None:
pos = map(lambda position:
{'x': position[0]*scale, 'y': position[1]*scale},
layout.values())
nodes = g.nodes()
if isinstance(g, nx.MultiDiGraph) or isinstance(g, nx.MultiGraph):
edges = g.edges(data=True, keys=True)
edge_builder = __build_multi_edge
else:
edges = g.edges(data=True)
edge_builder = __build_edge
# Map network table data
cygraph[DATA] = __map_table_data(g.graph.keys(), g.graph)
for i, node_id in enumerate(nodes):
new_node = __create_node(g.node[node_id], node_id)
if layout is not None:
new_node['position'] = pos[i]
cygraph['elements']['nodes'].append(new_node)
for edge in edges:
cygraph['elements']['edges'].append(edge_builder(edge, g))
return cygraph['elements']
def to_networkx(cyjs, directed=True):
"""
Convert Cytoscape.js-style JSON object into NetworkX object.
By default, data will be handles as a directed graph.
"""
if directed:
g = nx.MultiDiGraph()
else:
g = nx.MultiGraph()
network_data = cyjs[DATA]
if network_data is not None:
for key in network_data.keys():
g.graph[key] = network_data[key]
nodes = cyjs[ELEMENTS][NODES]
edges = cyjs[ELEMENTS][EDGES]
for node in nodes:
data = node[DATA]
g.add_node(data[ID], attr_dict=data)
for edge in edges:
data = edge[DATA]
source = data[SOURCE]
target = data[TARGET]
g.add_edge(source, target, attr_dict=data)
return g
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