rename folder

examples/st_game/storage/base_the_ville_isabella_maria_klaus/personas/Isabella Rodriguez/bootstrap_memory/test_memory/kw_strength.json

@@ -1,4 +0,0 @@
-{
-    "kw_strength_event": {},
-    "kw_strength_thought": {}
-}

examples/st_game/storage/base_the_ville_isabella_maria_klaus/personas/Maria Lopez/bootstrap_memory/associative_memory/embeddings.json

@@ -1 +0,0 @@
-{}

examples/st_game/storage/base_the_ville_isabella_maria_klaus/personas/Maria Lopez/bootstrap_memory/associative_memory/nodes.json

@@ -1 +0,0 @@
-{}

examples/stanford_town/README.md

@@ -1,7 +1,7 @@
 ## Stanford Town Game
 
 ### Pre-Description
-The path configured in `examples/st_game/utils/const.py` is the storage path of the current project. In order to facilitate GA( [generative_agents](https://github.com/joonspk-research/generative_agents) )'s frontend docking data (to avoid changing its code), you can set the value `temp_storage_path` to `temp_storage` of `generative_agents` when start `run_st_game.py`. like 
+The path configured in `examples/stanford_town/utils/const.py` is the storage path of the current project. In order to facilitate GA( [generative_agents](https://github.com/joonspk-research/generative_agents) )'s frontend docking data (to avoid changing its code), you can set the value `temp_storage_path` to `temp_storage` of `generative_agents` when start `run_st_game.py`. like 
 
 `python3 run_st_game.py --temp_storage_path path/to/ga/temp_storage xxx`  
 
@@ -17,7 +17,7 @@ # updated
 
 This can be used to achieve docking of simulation data without changing the GA code. Otherwise, the GA code must be modified to adapt to the MG output path.  
 
-If you don't want to start from 0, copy other simulation directories under `generative_agents/environment/frontend_server/storage/` to `examples/st_game/storage`, and select a directory named `fork_sim_code`.  
+If you don't want to start from 0, copy other simulation directories under `generative_agents/environment/frontend_server/storage/` to `examples/stanford_town/storage`, and select a directory named `fork_sim_code`.  
 
 ### Backend service startup
 The execution entry is `python3 run_st_game.py "Host a open lunch party at 13:00 pm" "base_the_ville_isabella_maria_klaus" "test_sim" 10`  

examples/stanford_town/README_CN.md

@@ -1,7 +1,7 @@
 ## Stanford Town Game
 
 ### 前置
-`examples/st_game/utils/const.py`配置的路径为当前项目的存储路径，为了方便GA（ [generative_agents](https://github.com/joonspk-research/generative_agents) ）的前端对接数据（避免改动它那块的代码），可在启动`run_st_game.py`加上`temp_storage_path`指向`generative_agents`对应的`temp_storage`路径。比如
+`examples/stanford_town/utils/const.py`配置的路径为当前项目的存储路径，为了方便GA（ [generative_agents](https://github.com/joonspk-research/generative_agents) ）的前端对接数据（避免改动它那块的代码），可在启动`run_st_game.py`加上`temp_storage_path`指向`generative_agents`对应的`temp_storage`路径。比如
 
 `python3 run_st_game.py --temp_storage_path path/to/ga/temp_storage xxx`   
 
@@ -16,7 +16,7 @@ # 更新为
 ```
 这样可用实现不改变GA代码情况下，实现仿真数据的对接。不然得修改GA的代码来适配MG的输出路径。  
 
-如果你不想从0开始启动，拷贝`generative_agents/environment/frontend_server/storage/`下的其他仿真目录到`examples/st_game/storage`，并选择一个目录名作为`fork_sim_code`。  
+如果你不想从0开始启动，拷贝`generative_agents/environment/frontend_server/storage/`下的其他仿真目录到`examples/stanford_town/storage`，并选择一个目录名作为`fork_sim_code`。  
 
 ### 后端服务启动
 执行入口为：`python3 run_st_game.py "Host a open lunch party at 13:00 pm" "base_the_ville_isabella_maria_klaus" "test_sim" 10`  

examples/stanford_town/actions/agent_chat_sum_rel.py

@@ -2,7 +2,7 @@
 # -*- coding: utf-8 -*-
 # @Desc   : summarize relationship in a agent chat
 
-from examples.st_game.actions.st_action import STAction
+from examples.stanford_town.actions.st_action import STAction
 from metagpt.logs import logger
 
 

examples/stanford_town/actions/decide_to_talk.py

@@ -2,7 +2,7 @@
 # -*- coding: utf-8 -*-
 # @Desc   : device to talk to another role, return yes or no
 
-from examples.st_game.actions.st_action import STAction
+from examples.stanford_town.actions.st_action import STAction
 from metagpt.logs import logger
 
 

examples/stanford_town/actions/gen_action_details.py

@@ -4,7 +4,7 @@
 
 import random
 
-from metagpt.environment.stanford_town_env.env_space import EnvObsParams, EnvObsType
+from metagpt.environment.stanford_town.env_space import EnvObsParams, EnvObsType
 from metagpt.logs import logger
 
 from .st_action import STAction

examples/stanford_town/actions/gen_iter_chat_utt.py

@@ -2,9 +2,9 @@
 # -*- coding: utf-8 -*-
 # @Desc   : generate_iterative_chat_utt
 
-from examples.st_game.actions.st_action import STAction
-from examples.st_game.utils.utils import extract_first_json_dict
-from metagpt.environment.stanford_town_env.env_space import EnvObsParams, EnvObsType
+from examples.stanford_town.actions.st_action import STAction
+from examples.stanford_town.utils.utils import extract_first_json_dict
+from metagpt.environment.stanford_town.env_space import EnvObsParams, EnvObsType
 from metagpt.logs import logger
 
 

examples/stanford_town/actions/inner_voice_action.py

@@ -1,4 +1,4 @@
-from examples.st_game.actions.st_action import STAction
+from examples.stanford_town.actions.st_action import STAction
 from metagpt.logs import logger
 
 

examples/stanford_town/actions/new_decomp_schedule.py

@@ -4,7 +4,7 @@
 
 import datetime
 
-from examples.st_game.actions.st_action import STAction
+from examples.stanford_town.actions.st_action import STAction
 from metagpt.logs import logger
 
 

examples/stanford_town/actions/run_reflect_action.py

@@ -4,7 +4,7 @@
 
 import re
 
-from examples.st_game.actions.st_action import STAction
+from examples.stanford_town.actions.st_action import STAction
 from metagpt.logs import logger
 
 

examples/stanford_town/actions/st_action.py

@@ -7,7 +7,7 @@ from abc import abstractmethod
 from pathlib import Path
 from typing import Any, Optional, Union
 
-from examples.st_game.utils.const import PROMPTS_DIR
+from examples.stanford_town.utils.const import PROMPTS_DIR
 from metagpt.actions.action import Action
 from metagpt.config2 import config
 from metagpt.logs import logger

examples/stanford_town/actions/summarize_conv.py

@@ -2,7 +2,7 @@
 # -*- coding: utf-8 -*-
 # @Desc   : summarize the content of agents' conversation
 
-from examples.st_game.actions.st_action import STAction
+from examples.stanford_town.actions.st_action import STAction
 from metagpt.logs import logger
 
 

examples/stanford_town/memory/retrieve.py

@@ -7,8 +7,8 @@ import datetime
 from numpy import dot
 from numpy.linalg import norm
 
-from examples.st_game.memory.agent_memory import BasicMemory
-from examples.st_game.utils.utils import get_embedding
+from examples.stanford_town.memory.agent_memory import BasicMemory
+from examples.stanford_town.utils.utils import get_embedding
 
 
 def agent_retrieve(

examples/stanford_town/plan/converse.py

@@ -4,9 +4,9 @@
 
 from typing import Tuple
 
-from examples.st_game.actions.agent_chat_sum_rel import AgentChatSumRel
-from examples.st_game.actions.gen_iter_chat_utt import GenIterChatUTT
-from examples.st_game.memory.retrieve import new_agent_retrieve
+from examples.stanford_town.actions.agent_chat_sum_rel import AgentChatSumRel
+from examples.stanford_town.actions.gen_iter_chat_utt import GenIterChatUTT
+from examples.stanford_town.memory.retrieve import new_agent_retrieve
 from metagpt.logs import logger
 
 

examples/stanford_town/reflect/reflect.py

@@ -5,7 +5,7 @@
 import datetime
 import time
 
-from examples.st_game.actions.run_reflect_action import (
+from examples.stanford_town.actions.run_reflect_action import (
     AgentChatPoignancy,
     AgentEventPoignancy,
     AgentEventTriple,
@@ -14,8 +14,8 @@ from examples.st_game.actions.run_reflect_action import (
     AgentMemoryOnConvo,
     AgentPlanThoughtOnConvo,
 )
-from examples.st_game.memory.retrieve import new_agent_retrieve
-from examples.st_game.utils.utils import get_embedding
+from examples.stanford_town.memory.retrieve import new_agent_retrieve
+from examples.stanford_town.utils.utils import get_embedding
 from metagpt.logs import logger
 
 

examples/stanford_town/roles/st_role.py

@@ -20,23 +20,23 @@ from typing import TYPE_CHECKING, Optional
 
 from pydantic import ConfigDict, Field, field_validator, model_validator
 
-from examples.st_game.actions.dummy_action import DummyAction, DummyMessage
-from examples.st_game.actions.inner_voice_action import AgentWhisperThoughtAction
-from examples.st_game.actions.run_reflect_action import AgentEventTriple
-from examples.st_game.memory.agent_memory import AgentMemory, BasicMemory
-from examples.st_game.memory.scratch import Scratch
-from examples.st_game.memory.spatial_memory import MemoryTree
-from examples.st_game.plan.st_plan import plan
-from examples.st_game.reflect.reflect import generate_poig_score, role_reflect
-from examples.st_game.utils.const import STORAGE_PATH, collision_block_id
-from examples.st_game.utils.mg_ga_transform import (
+from examples.stanford_town.actions.dummy_action import DummyAction, DummyMessage
+from examples.stanford_town.actions.inner_voice_action import AgentWhisperThoughtAction
+from examples.stanford_town.actions.run_reflect_action import AgentEventTriple
+from examples.stanford_town.memory.agent_memory import AgentMemory, BasicMemory
+from examples.stanford_town.memory.scratch import Scratch
+from examples.stanford_town.memory.spatial_memory import MemoryTree
+from examples.stanford_town.plan.st_plan import plan
+from examples.stanford_town.reflect.reflect import generate_poig_score, role_reflect
+from examples.stanford_town.utils.const import STORAGE_PATH, collision_block_id
+from examples.stanford_town.utils.mg_ga_transform import (
     get_role_environment,
     save_environment,
     save_movement,
 )
-from examples.st_game.utils.utils import get_embedding, path_finder
+from examples.stanford_town.utils.utils import get_embedding, path_finder
 from metagpt.actions.add_requirement import UserRequirement
-from metagpt.environment.stanford_town_env.env_space import (
+from metagpt.environment.stanford_town.env_space import (
     EnvAction,
     EnvActionType,
     EnvObsParams,
@@ -48,7 +48,7 @@ from metagpt.schema import Message
 from metagpt.utils.common import any_to_str
 
 if TYPE_CHECKING:
-    from metagpt.environment.stanford_town_env.stanford_town_env import (  # noqa: F401
+    from metagpt.environment.stanford_town.stanford_town_env import (  # noqa: F401
         StanfordTownEnv,
     )
 
@@ -63,7 +63,7 @@ class STRoleContext(RoleContext):
 
     @classmethod
     def model_rebuild(cls, **kwargs):
-        from metagpt.environment.stanford_town_env.stanford_town_env import (  # noqa: F401
+        from metagpt.environment.stanford_town.stanford_town_env import (  # noqa: F401
             StanfordTownEnv,
         )
 

examples/stanford_town/run_st_game.py

@@ -7,15 +7,15 @@ from typing import Optional
 
 import fire
 
-from examples.st_game.roles.st_role import STRole
-from examples.st_game.stanford_town import StanfordTown
-from examples.st_game.utils.const import STORAGE_PATH
-from examples.st_game.utils.mg_ga_transform import (
+from examples.stanford_town.roles.st_role import STRole
+from examples.stanford_town.stanford_town import StanfordTown
+from examples.stanford_town.utils.const import STORAGE_PATH
+from examples.stanford_town.utils.mg_ga_transform import (
     get_reverie_meta,
     write_curr_sim_code,
     write_curr_step,
 )
-from examples.st_game.utils.utils import copy_folder
+from examples.stanford_town.utils.utils import copy_folder
 from metagpt.logs import logger
 
 

examples/stanford_town/stanford_town.py

@@ -4,10 +4,10 @@
 
 from typing import Any, Optional
 
-from examples.st_game.roles.st_role import STRole
-from examples.st_game.utils.const import MAZE_ASSET_PATH
+from examples.stanford_town.roles.st_role import STRole
+from examples.stanford_town.utils.const import MAZE_ASSET_PATH
 from metagpt.context import Context
-from metagpt.environment.stanford_town_env.stanford_town_env import StanfordTownEnv
+from metagpt.environment.stanford_town.stanford_town_env import StanfordTownEnv
 from metagpt.logs import logger
 from metagpt.team import Team
 

examples/stanford_town/tests/actions/test_gen_action_details.py

@@ -4,17 +4,17 @@
 
 import pytest
 
-from examples.st_game.actions.gen_action_details import (
+from examples.stanford_town.actions.gen_action_details import (
     GenActionArena,
     GenActionDetails,
     GenActionObject,
     GenActionSector,
     GenActObjDescription,
 )
-from examples.st_game.roles.st_role import STRole
-from examples.st_game.utils.const import MAZE_ASSET_PATH
+from examples.stanford_town.roles.st_role import STRole
+from examples.stanford_town.utils.const import MAZE_ASSET_PATH
 from metagpt.environment.api.env_api import EnvAPIAbstract
-from metagpt.environment.stanford_town_env.stanford_town_env import StanfordTownEnv
+from metagpt.environment.stanford_town.stanford_town_env import StanfordTownEnv
 
 
 @pytest.mark.asyncio

examples/stanford_town/tests/actions/test_summarize_conv.py

@@ -4,7 +4,7 @@
 
 import pytest
 
-from examples.st_game.actions.summarize_conv import SummarizeConv
+from examples.stanford_town.actions.summarize_conv import SummarizeConv
 
 
 @pytest.mark.asyncio

examples/stanford_town/tests/plan/test_conversation.py

@@ -6,12 +6,12 @@ from typing import Tuple
 
 import pytest
 
-from examples.st_game.plan.converse import agent_conversation
-from examples.st_game.roles.st_role import STRole
-from examples.st_game.utils.const import MAZE_ASSET_PATH, STORAGE_PATH
-from examples.st_game.utils.mg_ga_transform import get_reverie_meta
-from examples.st_game.utils.utils import copy_folder
-from metagpt.environment.stanford_town_env.stanford_town_env import StanfordTownEnv
+from examples.stanford_town.plan.converse import agent_conversation
+from examples.stanford_town.roles.st_role import STRole
+from examples.stanford_town.utils.const import MAZE_ASSET_PATH, STORAGE_PATH
+from examples.stanford_town.utils.mg_ga_transform import get_reverie_meta
+from examples.stanford_town.utils.utils import copy_folder
+from metagpt.environment.stanford_town.stanford_town_env import StanfordTownEnv
 
 
 async def init_two_roles(fork_sim_code: str = "base_the_ville_isabella_maria_klaus") -> Tuple["STRole"]:

examples/stanford_town/tests/plan/test_st_plan.py

@@ -4,8 +4,12 @@
 
 import pytest
 
-from examples.st_game.plan.st_plan import _choose_retrieved, _should_react, _wait_react
-from examples.st_game.tests.plan.test_converse import init_two_roles
+from examples.stanford_town.plan.st_plan import (
+    _choose_retrieved,
+    _should_react,
+    _wait_react,
+)
+from examples.stanford_town.tests.plan.test_converse import init_two_roles
 
 
 def test_should_react():