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lats agent indent
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  • visual-tree-search-backend/app/api/lwats/agents_async/SearchAgents

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‎visual-tree-search-backend/app/api/lwats/agents_async/SearchAgents/lats_agent.py‎

Lines changed: 73 additions & 73 deletions
Original file line numberDiff line numberDiff line change
@@ -22,91 +22,91 @@ async def run(self, websocket=None) -> list[LATSNode]:
2222
return best_node
2323

2424
async def lats_search(self, websocket=None):
25-
terminal_nodes = []
25+
terminal_nodes = []
2626

27-
for i in range(self.config.iterations):
28-
await self.websocket_iteration_start(i, websocket=websocket)
29-
30-
print(f"Iteration {i}/{self.config.iterations} ...")
27+
for i in range(self.config.iterations):
28+
await self.websocket_iteration_start(i, websocket=websocket)
29+
30+
print(f"Iteration {i}/{self.config.iterations} ...")
3131

32-
# Step 1: Node Selection
33-
## TODO: move websocket node selection into node_selection method
34-
print(f"{GREEN}Step 1: node selection{RESET}")
35-
await self.websocket_step_start(step=1, step_name="node_selection", websocket=websocket)
36-
node = await self.node_selection(self.root_node)
37-
await self.websocket_node_selection(node, websocket=websocket)
32+
# Step 1: Node Selection
33+
## TODO: move websocket node selection into node_selection method
34+
print(f"{GREEN}Step 1: node selection{RESET}")
35+
await self.websocket_step_start(step=1, step_name="node_selection", websocket=websocket)
36+
node = await self.node_selection(self.root_node)
37+
await self.websocket_node_selection(node, websocket=websocket)
3838

39-
if node is None:
40-
print("All paths lead to terminal nodes with reward 0. Ending search.")
41-
break
39+
if node is None:
40+
print("All paths lead to terminal nodes with reward 0. Ending search.")
41+
break
4242

43-
# Step 2: Node Expansion
44-
print(f"{GREEN}Step 2: node expansion{RESET}")
45-
await self.websocket_step_start(step=2, step_name="node_expansion", websocket=websocket)
46-
await self.node_expansion(node, websocket)
47-
if node is None:
48-
# all the nodes are terminal, stop the search
49-
print(f"{RED}All nodes are terminal, stopping search{RESET}")
50-
break
51-
tree_data = self._get_tree_data()
52-
if websocket:
53-
await self.websocket_tree_update(type="tree_update_node_expansion", websocket=websocket, tree_data=tree_data)
54-
else:
55-
print_entire_tree(self.root_node)
43+
# Step 2: Node Expansion
44+
print(f"{GREEN}Step 2: node expansion{RESET}")
45+
await self.websocket_step_start(step=2, step_name="node_expansion", websocket=websocket)
46+
await self.node_expansion(node, websocket)
47+
if node is None:
48+
# all the nodes are terminal, stop the search
49+
print(f"{RED}All nodes are terminal, stopping search{RESET}")
50+
break
51+
tree_data = self._get_tree_data()
52+
if websocket:
53+
await self.websocket_tree_update(type="tree_update_node_expansion", websocket=websocket, tree_data=tree_data)
54+
else:
55+
print_entire_tree(self.root_node)
5656

5757

58-
# Step 3: Evaluation
59-
print(f"{GREEN}Step 3: node chilren evaluation{RESET}")
60-
await self.websocket_step_start(step=3, step_name="node_children_evaluation", websocket=websocket)
61-
await self.node_children_evaluation(node)
62-
tree_data = self._get_tree_data()
63-
if websocket:
64-
await self.websocket_tree_update(type="tree_update_node_children_evaluation", websocket=websocket, tree_data=tree_data)
65-
else:
66-
print("after evaluation")
67-
print_entire_tree(self.root_node)
58+
# Step 3: Evaluation
59+
print(f"{GREEN}Step 3: node chilren evaluation{RESET}")
60+
await self.websocket_step_start(step=3, step_name="node_children_evaluation", websocket=websocket)
61+
await self.node_children_evaluation(node)
62+
tree_data = self._get_tree_data()
63+
if websocket:
64+
await self.websocket_tree_update(type="tree_update_node_children_evaluation", websocket=websocket, tree_data=tree_data)
65+
else:
66+
print("after evaluation")
67+
print_entire_tree(self.root_node)
6868

6969

70-
# Step 4: Simulation
71-
print(f"{GREEN}Step 4: simulation{RESET}")
72-
await self.websocket_step_start(step=4, step_name="simulation", websocket=websocket)
73-
selected_node = max(node.children, key=lambda child: child.value)
74-
await self.websocket_node_selection(selected_node, websocket=websocket, type="node_selected_for_simulation")
75-
reward, terminal_node = await self.simulation(selected_node, websocket=websocket)
76-
terminal_nodes.append(terminal_node)
77-
await self.websocket_simulation_result(reward, terminal_node, websocket=websocket)
70+
# Step 4: Simulation
71+
print(f"{GREEN}Step 4: simulation{RESET}")
72+
await self.websocket_step_start(step=4, step_name="simulation", websocket=websocket)
73+
selected_node = max(node.children, key=lambda child: child.value)
74+
await self.websocket_node_selection(selected_node, websocket=websocket, type="node_selected_for_simulation")
75+
reward, terminal_node = await self.simulation(selected_node, websocket=websocket)
76+
terminal_nodes.append(terminal_node)
77+
await self.websocket_simulation_result(reward, terminal_node, websocket=websocket)
7878

79-
if reward == 1:
80-
await self.websocket_search_complete("success", reward, terminal_node.get_trajectory(), websocket=websocket)
81-
return terminal_node
79+
if reward == 1:
80+
await self.websocket_search_complete("success", reward, terminal_node.get_trajectory(), websocket=websocket)
81+
return terminal_node
8282

83-
# Step 5: Backpropagation
84-
print(f"{GREEN}Step 5: backpropagation{RESET}")
85-
await self.websocket_step_start(step=5, step_name="backpropagation", websocket=websocket)
86-
self.backpropagate(terminal_node, reward)
87-
tree_data = self._get_tree_data()
88-
if websocket:
89-
await self.websocket_tree_update(type="tree_update_node_backpropagation", websocket=websocket, tree_data=tree_data)
90-
else:
91-
print("after backpropagation")
92-
print_entire_tree(self.root_node)
83+
# Step 5: Backpropagation
84+
print(f"{GREEN}Step 5: backpropagation{RESET}")
85+
await self.websocket_step_start(step=5, step_name="backpropagation", websocket=websocket)
86+
self.backpropagate(terminal_node, reward)
87+
tree_data = self._get_tree_data()
88+
if websocket:
89+
await self.websocket_tree_update(type="tree_update_node_backpropagation", websocket=websocket, tree_data=tree_data)
90+
else:
91+
print("after backpropagation")
92+
print_entire_tree(self.root_node)
9393

94-
# Find best node
95-
all_nodes_list = collect_all_nodes(self.root_node)
96-
all_nodes_list.extend(terminal_nodes)
97-
98-
## temp change: if reward is the same, choose the deeper node
99-
best_child = max(all_nodes_list, key=lambda x: (x.reward, x.depth))
94+
# Find best node
95+
all_nodes_list = collect_all_nodes(self.root_node)
96+
all_nodes_list.extend(terminal_nodes)
97+
98+
## temp change: if reward is the same, choose the deeper node
99+
best_child = max(all_nodes_list, key=lambda x: (x.reward, x.depth))
100+
101+
if best_child.value >= 0.75:
102+
print("Successful trajectory found")
103+
await self.websocket_search_complete("success", best_child.value, best_child.get_trajectory(), websocket=websocket)
104+
else:
105+
print("Unsuccessful trajectory found")
106+
await self.websocket_search_complete("partial_success", best_child.value, best_child.get_trajectory(), websocket=websocket)
107+
await self.playwright_manager.close()
100108

101-
if best_child.value >= 0.75:
102-
print("Successful trajectory found")
103-
await self.websocket_search_complete("success", best_child.value, best_child.get_trajectory(), websocket=websocket)
104-
else:
105-
print("Unsuccessful trajectory found")
106-
await self.websocket_search_complete("partial_success", best_child.value, best_child.get_trajectory(), websocket=websocket)
107-
await self.playwright_manager.close()
108-
109-
return best_child if best_child is not None else self.root_node
109+
return best_child if best_child is not None else self.root_node
110110

111111
async def node_selection(self, node: LATSNode, websocket=None) -> Optional[LATSNode]:
112112
if node.is_terminal:

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