def load_bn_from_file(self, file_name):
"""
Load a bayesian network to show.
Initially, the bn can be loaded by itself, but vertex positions must be loaded independently.
"""
try:
# load bayesian network
self.disc_bn = DiscreteBayesianNetworkExt()
self.disc_bn.load(file_name)
### Load Vertex locations
json_data = dic_from_json_file(file_name)
# Vertex locations
if "vertex_loc" in json_data.keys():
self.dict_to_gpoints(json_data["vertex_loc"])
else:
vl = ugraphic.create_vertex_locations(self.disc_bn)
self.dict_to_gpoints(vl)
except Exception:
ugraphic.show_warning(self.window,
"Error loading the Bayesian Network",
Exception)
return
self._draw_mode_edit()
def load_bn_from_file(self, file_name):
"""
Load a bayesian network to show.
Initially, the bn can be loaded by itself, but vertex positions must be loaded independently.
"""
try:
# load bayesian network
self.disc_bn = DiscreteBayesianNetworkExt()
self.disc_bn.load(file_name)
### Load Vertex locations
json_data = dic_from_json_file(file_name)
# Vertex locations
if "vertex_loc" in json_data.keys():
self.dict_to_gpoints(json_data["vertex_loc"])
else:
vl = ugraphic.create_vertex_locations(self.disc_bn)
self.dict_to_gpoints(vl)
except Exception:
ugraphic.show_warning(self.window, "Error loading the Bayesian Network", Exception)
return
self._draw_mode_edit()
def organize_graph(self, random=True):
v_locts = ugraphic.create_vertex_locations(self.disc_bn, random=random)
self.dict_to_gpoints(v_locts)
self.draw_graph()
def organize_graph(self, random=True):
v_locts = ugraphic.create_vertex_locations(self.disc_bn, random=random)
self.dict_to_gpoints(v_locts)
self.draw_graph()