ImaGetCha/non_module_old/Evaluate_langchain.py

import json
from langchain.chat_models import ChatOpenAI
from langchain.prompts.chat import (
    ChatPromptTemplate,
    SystemMessagePromptTemplate,
    HumanMessagePromptTemplate,
)
from langchain.agents import load_tools
from langchain.agents import initialize_agent
from langchain.agents import AgentType
from langchain.llms import OpenAI
from format_langchain import format_langchain
from global_langchain import global_model

from utils.utils import convert_choice


def evaluate_langchain():
    print('--------------------------评估优化中--------------------------')
    chat = ChatOpenAI(temperature=0)
    model = global_model()
    # llm = OpenAI(temperature=0)
    # tools = load_tools(["serpapi", "llm-math"], llm=llm)
    # agent = initialize_agent(tools,
    #                          chat,
    #                          agent=AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION,
    #                          verbose=True)

    output_type = str(model.evaluate_declare)
    events = model.get_events()
    event_for_now = events[-1]

    system_template = model.evaluate_system_template
    system_message_prompt = SystemMessagePromptTemplate.from_template(
        system_template)
    human_template = model.evaluate_human_template
    human_message_prompt = HumanMessagePromptTemplate.from_template(
        human_template)
    chat_prompt = ChatPromptTemplate.from_messages(
        [system_message_prompt, human_message_prompt])

    # rsp = agent.run(
    #     chat_prompt.format_prompt(output_type=output_type,
    #                               event_for_now=event_for_now).to_messages())
    rsp = chat(
        chat_prompt.format_prompt(output_type=output_type,
                                  event_for_now=event_for_now).to_messages())
    print('[优化]--------------------------GPT得到--------------------------')
    print(rsp.content)
    try:
        game_event = json.loads(rsp.content, object_hook=convert_choice)
    except:
        print('格式错误，修复中')
        game_event = format_langchain(rsp.content, output_type)
    events[-1] = {
        "事件": game_event["事件"],
        "是否需要玩家选择下一步操作": game_event["是否需要玩家选择下一步操作"],
        "玩家可以做出的选择": game_event["玩家可以做出的选择"],
        "当前场景角色": game_event["当前场景角色"],
        "当前场景数值系统": game_event["当前场景数值系统"],
    }
    model.update_events(events)
    print(
        '[优化]--------------------------json.loads得到--------------------------')
    print(game_event)
    return game_event