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import json
import pickle
import networkx as nx
import matplotlib.pyplot as plt
# Define file paths
JSON = './behaviour177.json'
PKL = 'behaviour177.pkl'
def add_edges(G):
for node_name in G.nodes:
node = G.nodes[node_name]
match node['type']:
case 'place':
G.add_edge(node_name,('scene',1))
case 'asset':
G.add_edge(node_name,node['place'])
case 'object':
G.add_edge(node_name,node['related_to'])
case 'agent':
G.add_edge(node_name,node['location'])
case 'scene':
pass
case _:
print(f"Unknown node type: {node['type']}")
def parse_json(tasks):
graph = nx.Graph()
graph.add_node(('scene',1), name =task['name'], type='scene')
for node in tasks:
if node['type'] == 'place':
graph.add_node((node['name'], node['id']), type='place')
if node['type'] == 'asset':
graph.add_node((node['name'], node['id']), place=(node['place'],node['place_id']), states=node['states'], affordances =node['affordances'], properties=[], type = 'asset')
if node['type'] == 'object':
graph.add_node((node['name'], node['id']), relation=node['relation'], related_to=(node['related_to'][0],node['related_to'][1]), states=node['states'], affordances =node['affordances'], properties=[], type = 'object')
if node['type'] == 'agent':
graph.add_node(('agent',1), location=(node['location'][0],node['location'][1]), holding='', type='agent')
add_edges(graph)
return graph
if __name__ == "__main__":
# Load JSON data
with open(JSON, 'r') as json_file:
input_data = json.load(json_file)
output_data = []
i=0
for task in input_data:
i+=1
init_graph = parse_json(task['init'])
goal_graph = parse_json(task['goal'])
entity = {
'id' : i,
'name':task['name'],
'task':task['task'],
'init': init_graph,
'goal': goal_graph,
}
output_data.append(entity)
# Save data to a pickle file
with open(PKL, 'wb') as pkl_file:
pickle.dump(output_data, pkl_file)
print(f"Data from {JSON} has been saved to {PKL}.") |