From fef9ec57aa3fc4f4526bda9bb2f7fb97141a4a10 Mon Sep 17 00:00:00 2001
From: ziming <2216646743@qq.com>
Date: Wed, 27 Sep 2023 21:38:28 +0800
Subject: [PATCH] wu

---
 examples/st_game/reflect/reflect.py | 97 -----------------------------
 1 file changed, 97 deletions(-)
 delete mode 100644 examples/st_game/reflect/reflect.py

diff --git a/examples/st_game/reflect/reflect.py b/examples/st_game/reflect/reflect.py
deleted file mode 100644
index f30a2f08a..000000000
--- a/examples/st_game/reflect/reflect.py
+++ /dev/null
@@ -1,97 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-# @Desc   : base class of reflection
-
-import asyncio
-import json
-from metagpt.logs import logger
-import time
-from ga_prompt_generator import final_response
-'''
-等待Agent和memory更新，保留相关引用但可以忽略。
-'''
-from metagpt.memory.ga_memory_storage import AgentMemory, MemoryBasic
-
-import json
-import time
-
-
-async def agent_reflect(agent):
-    """
-    代理反思函数：生成关注点并生成洞察和证据
-
-    """
-    A = await generate_focus_point(agent.memories_list)
-
-    for i in A:
-        B = await generate_insights_and_evidence(agent, agent.memories_list, question=i)
-
-
-async def generate_focus_point(memories_list: list[MemoryBasic], n=3):
-    """
-    生成关注点函数：根据记忆列表生成关注点
-    """
-    wait_sorted_mem = [[i.accessed_time, i] for i in memories_list]
-    sorted_memories = sorted(wait_sorted_mem, key=lambda x: x[0])
-    memorys = [i for created, i in sorted_memories]
-    statements = ''
-    for i in memorys:
-        statements += i.description + "\n"
-    prompt = '''
-    {statements}
-    Given only the information above, what are {num_question} most salient high-level questions we can answer about the subjects grounded in the statements?
-    '''
-    example_output = '["What should Jane do for lunch", "Does Jane like strawberry", "Who is Jane"]'
-    out = await final_response(prompt.format(statements=statements, num_question=n),
-                               "Output must be a list of str.", example_output)
-    try:
-        poi_dict = json.loads(out)
-        return poi_dict['output']
-    except ValueError:
-        print(out)
-        logger.error('无法返回正常结果')
-        return out
-
-
-async def generate_insights_and_evidence(agent: Agent, memories_list: list[MemoryBasic], question: str, n=5):
-    """
-    生成洞察和证据函数：根据问题生成洞察和证据
-    """
-    memories_list = await agent_retrieve(agent, question, 50, 10)
-    statements = ""
-    for count, mem in enumerate(memories_list):
-        statements += f'{str(count)}. {mem.description}\n'
-    prompt = '''
-    Input:
-    {statements}
-
-    What {n} high-level insights can you infer from the above statements?
-    You should return a list of list[str,list]. The first element is the insight you have found. The second element is the 
-    '''
-
-    ret = final_response(prompt.format(
-        question=question, statements=statements, n=n), "['insightA',[1,2,3]]")
-    try:
-        insight_list = json.loads(ret)
-        for insight, index in insight_list:
-            agent.memory_list.append(Memory_basic(
-                time.time(), None, insight, None, None))
-        return insight_list
-    except:
-        logger.error('我们无法获得想要的返回。')
-        return ret
-
-
-""" if __name__ == "__main__":
-    # 例子，构建John Agent，实现retrive
-    John_iss = "John Lin is a pharmacy shopkeeper at the Willow Market and Pharmacy who loves to help people. He is always looking for ways to make the process of getting medication easier for his customers; John Lin is living with his wife, Mei Lin, who is a college professor, and son, Eddy Lin, who is a student studying music theory; John Lin loves his family very much; John Lin has known the old couple next-door, Sam Moore and Jennifer Moore, for a few years; John Lin thinks Sam Moore is a kind and nice man; John Lin knows his neighbor, Yuriko Yamamoto, well; John Lin knows of his neighbors, Tamara Taylor and Carmen Ortiz, but has not met them before; John Lin and Tom Moreno are colleagues at The Willows Market and Pharmacy; John Lin and Tom Moreno are friends and like to discuss local politics together; John Lin knows the Moreno family somewhat well — the husband Tom Moreno and the wife Jane Moreno."
-    John = AgentMemory(
-        "John", John_iss, memory_path="agent_memories/John_memory.json")
-
-    # John的相关信息：{'Had a friendly chat with Yuriko about her garden.': 2.4992317730827667, 'Helped Mrs. Moore carry groceries into her house.': 1.957656720441911, 'Discussed local politics with Tom Moreno.': 1.9458268038234035}
-    asyncio.run(agent_reflect(John))
-    '''
-    这里是输出,list形式，返回给记忆。
-    [['The pharmacy is a friendly and helpful community.', [0, 2, 9, 12]], ['The pharmacy is a place where people come for more than just medication.', [3, 5, 13, 14]], ['The pharmacy is a place where people come for advice and conversation.', [0, 2, 6, 9, 12]], ['The pharmacy is a place where people come for assistance with daily tasks.', [3, 5, 13, 14]], ['The pharmacy is a place where people come for political discussions.', [1]]]
-    '''
- """