def to_dot(g, stream=sys.stdout, options=None):
"""
Args:
- g (rdflib.graph): RDF graph to transform into `dot` representation
- stream (default: sys.stdout | file): Where to write the output
Returns:
- (graph): `dot` representation of the graph
"""
digraph = produce_graph.produce_graph(g, options=options)
stream.write('digraph g {\n')
# draw nodes, i.e.
for (node, node_data) in digraph.nodes_iter(data=True):
node_str = '"%s" [label="%s"] ;\n'
stream.write(node_str % (node, node_data['label']))
for (source, target, edge_data) in digraph.edges_iter(data=True):
edge_str = '"%s" -> "%s" [label="%s"] ;\n'
stream.write(edge_str % (source, target, edge_data['label']))
stream.write('}\n')
return g
def test_is_a_arcs():
options = ['is-a-arcs']
digraph = produce_graph.produce_graph(g, options=options)
# is-a arc should be in the digraph
is_a_arc = make_is_a_arc()
assert graph_utils.is_edge_in_edges(is_a_arc, digraph.edges_iter(data=True))
# existential arc should not be in digraph
existential_arc = make_existential_arc()
assert not graph_utils.is_edge_in_edges(existential_arc, digraph.edges_iter(data=True))
def sample_unnormalized():
digraph = produce_graph.produce_graph(unnormalized_g, options=['existential-arcs'])
return digraph
def make_existential_digraph():
options = ['existential-arcs']
return produce_graph.produce_graph(g, options=options)
def sample_digraph():
return produce_graph.produce_graph(g, options=['existential-arcs'])