def load_specific_molecule(self, full_path):
if re.match('.*\.json', full_path) is None:
return "Path must contain a json file"
else:
json_file = open(full_path, "r")
json_dict = eval(json_file.read())
json_file.close()
id_map = {}
molecule = NAOActorMolecule(self.memory,
self.memory.atoms,
self.nao_mem,
self.nao_motion,
duplication=True)
atoms = json_dict["atoms"]
molecular_graph = json_dict["molecular_graph"]
for json_atom in atoms:
new_atom = load_json_atom(json_atom,
memory,
nao_memory=self.nao_mem,
nao_motion=self.nao_motion)
self.memory.add_atom(new_atom, new_atom.get_id())
molecule.molecular_graph = json_graph.loads(molecular_graph)
molecule.set_connections()
memory.add_molecule(molecule)
return molecule
def load_brain_archive(self):
largest_atom_id = 0
last_atom_id = 0
base = "brain_archive/{0}/".format(config.robot_system)
if not os.path.exists(base): os.makedirs(base)
files = [o for o in os.listdir(base) if re.match('.*\.json', o)]
for f in files:
print f
json_file = open("{0}{1}".format(base, f), "r")
json_dict = eval(json_file.read())
json_file.close()
id_map = {}
molecule = NAOActorMolecule(self.memory,
self.memory.atoms,
self.nao_mem,
self.nao_motion,
duplication=True)
atoms = json_dict["atoms"]
molecular_graph = json_dict["molecular_graph"]
for json_atom in atoms:
new_atom = load_json_atom(json_atom,
memory,
nao_memory=self.nao_mem,
nao_motion=self.nao_motion)
atom_id_number = int(
re.match('a-([0-9]+)', new_atom.id).group(1))
# print atom_id_number
# print molecular_graph
new_id = new_atom.create_id(atom_id_number + last_atom_id)
molecular_graph = molecular_graph.replace(new_atom.id, new_id)
# print molecular_graph
atom_id_number += last_atom_id
if atom_id_number > largest_atom_id:
largest_atom_id = atom_id_number
self.memory.add_atom(new_atom, new_id)
print molecular_graph
molecule.molecular_graph = json_graph.loads(molecular_graph)
print molecule.molecular_graph
molecule.set_connections()
memory.add_molecule(molecule)
memory.add_to_brain_archive(molecule)
last_atom_id = largest_atom_id
for molecule in self.memory.brain_archive:
print molecule
for a in molecule.get_atoms_as_list():
print a.print_atom()
print "brain_archive:", self.memory.brain_archive
def load_specific_molecule(self,full_path):
if re.match('.*\.json',full_path) is None:
return "Path must contain a json file"
else:
json_file = open(full_path,"r")
json_dict = eval(json_file.read())
json_file.close()
id_map = {}
molecule = EpuckActorMolecule(self.memory,self.memory.atoms,self.controller,duplication=True)
atoms = json_dict["atoms"]
molecular_graph = json_dict["molecular_graph"]
for json_atom in atoms:
new_atom = load_json_atom(json_atom,memory,epuck_controller=self.controller)
self.memory.add_atom(new_atom,new_atom.get_id())
molecule.molecular_graph=json_graph.loads(molecular_graph)
molecule.set_connections()
memory.add_molecule(molecule)
return molecule
def load_brain_archive(self):
largest_atom_id = 0
last_atom_id = 0
base = "brain_archive/{0}/".format(config.robot_system)
if not os.path.exists(base): os.makedirs(base)
files = [o for o in os.listdir(base) if re.match('.*\.json',o)]
for f in files:
print f
json_file = open("{0}{1}".format(base,f),"r")
json_dict = eval(json_file.read())
json_file.close()
id_map = {}
molecule = NAOActorMolecule(self.memory,self.memory.atoms,self.nao_mem,self.nao_motion,duplication=True)
atoms = json_dict["atoms"]
molecular_graph = json_dict["molecular_graph"]
for json_atom in atoms:
new_atom = load_json_atom(json_atom,memory,nao_memory=self.nao_mem,nao_motion=self.nao_motion)
atom_id_number = int(re.match('a-([0-9]+)',new_atom.id).group(1))
# print atom_id_number
# print molecular_graph
new_id = new_atom.create_id(atom_id_number + last_atom_id)
molecular_graph = molecular_graph.replace(
new_atom.id,
new_id)
# print molecular_graph
atom_id_number += last_atom_id
if atom_id_number > largest_atom_id:
largest_atom_id = atom_id_number
self.memory.add_atom(new_atom,new_id)
print molecular_graph
molecule.molecular_graph=json_graph.loads(molecular_graph)
print molecule.molecular_graph
molecule.set_connections()
memory.add_molecule(molecule)
memory.add_to_brain_archive(molecule)
last_atom_id = largest_atom_id
for molecule in self.memory.brain_archive:
print molecule
for a in molecule.get_atoms_as_list():
print a.print_atom()
print "brain_archive:",self.memory.brain_archive