import io import contextlib import os import importlib.util from robowaiter.utils.bt.load import load_bt_from_ptml,find_node_by_name,print_tree_from_root from robowaiter.utils.bt.visitor import StatusVisitor from robowaiter.behavior_tree.obtea.OptimalBTExpansionAlgorithm import Action # 调用最优行为树扩展算法 from robowaiter.behavior_tree.obtea.opt_bt_exp_main import BTOptExpInterface from robowaiter.behavior_lib.act.DelSubTree import DelSubTree from robowaiter.behavior_lib._base.Sequence import Sequence from robowaiter.utils.bt.load import load_behavior_tree_lib class Robot(object): scene = None response_frequency = 1 def __init__(self,ptml_path,behavior_lib_path): self.ptml_path = ptml_path self.behavior_lib_path = behavior_lib_path self.next_response_time = self.response_frequency self.step_num = 0 self.last_tick_output = "" self.action_list = None def set_scene(self,scene): self.scene = scene def load_BT(self): self.bt = load_bt_from_ptml(self.scene, self.ptml_path,self.behavior_lib_path) sub_task_place_holder = find_node_by_name(self.bt.root,"SubTaskPlaceHolder") if sub_task_place_holder: sub_task_seq = sub_task_place_holder.parent sub_task_seq.children.pop() self.scene.sub_task_seq = sub_task_seq self.bt_visitor = StatusVisitor() self.bt.visitors.append(self.bt_visitor) def expand_sub_task_tree(self,goal): if self.action_list is None: self.action_list = self.collect_action_nodes() print("\n--------------------") print(f"首次运行行为树扩展算法,收集到{len(self.action_list)}个有效动作:") for a in self.action_list: if "Turn" in a.name: print(a.name) print("--------------------\n") algo = BTOptExpInterface(self.action_list) ptml_string = algo.process(goal) file_name = "sub_task" file_path = f'./{file_name}.ptml' with open(file_path, 'w') as file: file.write(ptml_string) sub_task_bt = load_bt_from_ptml(self.scene, file_path,self.behavior_lib_path) # 加入删除子树的节点 seq = Sequence(name="Sequence", memory=False) seq.add_child(sub_task_bt.root) del_sub_tree = DelSubTree() del_sub_tree.set_scene(self.scene) seq.add_child(del_sub_tree) if self.scene.sub_task_seq: self.scene.sub_task_seq.add_child(seq) else: print('Warning: have none sub task sequence') self.scene.sub_task_seq = seq print("当前行为树为:") print_tree_from_root(self.bt.root) # 获取所有action的pre,add,del列表 def collect_action_nodes(self): action_list = [] behavior_dict = load_behavior_tree_lib() for cls in behavior_dict["act"].values(): if cls.can_be_expanded: if cls.num_args == 0: action_list.append(Action(name=cls.get_ins_name(),**cls.get_info())) if cls.num_args == 1: for arg in cls.valid_args: action_list.append(Action(name=cls.get_ins_name(arg), **cls.get_info(arg))) if cls.num_args > 1: for args in cls.valid_args: action_list.append(Action(name=cls.get_ins_name(*args),**cls.get_info(*args))) print(action_list) # action_list = [ # Action(name='MakeCoffee', pre={'At(Robot,CoffeeMachine)'}, # add={'At(Coffee,Bar)'}, del_set=set(), cost=1), # Action(name='MoveTo(Table)', pre={'At(Robot,Bar)'}, # add={'At(Robot,Table)'}, del_set=set(), cost=1), # Action(name='ExploreEnv()', pre=set(), # add={'EnvExplored()'}, del_set=set(), cost=1), # ] return action_list def step(self): if self.scene.time > self.next_response_time: self.next_response_time += self.response_frequency self.step_num += 1 self.bt.tick() bt_output = self.bt_visitor.output_str if bt_output != self.last_tick_output: print(f"==== time:{self.scene.time:f}s ======") print(bt_output) print("\n") self.last_tick_output = bt_output if __name__ == '__main__': pass