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