gradio_backend.py

import yaml
import os
import argparse
import sys
sys.path.append("../../../src/agents")
sys.path.append("../../Gradio_Config")
from agents.SOP import SOP
from agents.Agent import Agent
from agents.Environment import Environment
from agents.Memory import Memory
from gradio_base import Client
from app import DebateUI

def process(action):
    response = action.response
    send_name = action.name
    send_role = action.role
    if not action.is_user:
        print(f"{send_name}({send_role}):{response}")
    memory = Memory(send_role, send_name, response)
    return memory

def gradio_process(action,current_state):
    response = action.response
    all = ""
    for i,res in enumerate(response):
        all+=res
        state = 10
        if action.is_user:
            state = 30
        elif action.state_begin:
            state = 12
            action.state_begin = False
        elif i>0:
            state = 11
        send_name = f"{action.name}({action.role})"
        Client.send_server(str([state, send_name, res, current_state.name]))
        if state == 30:
            # print("client: waiting for input.")
            data: list = next(Client.receive_server)
            content = ""
            for item in data:
                if item.startswith("<USER>"):
                    content = item.split("<USER>")[1]
                    break
            # print(f"client: recieved `{content}` from server")
            action.response = content
            break
        else:
            action.response = all

def block_when_next(current_agent, current_state):
    if Client.LAST_USER:
        assert not current_agent.is_user
        Client.LAST_USER = False
        return
    if current_agent.is_user:
        # if next turn is user, we don't handle it here
        Client.LAST_USER = True
        return
    if Client.FIRST_RUN:
        Client.FIRST_RUN = False
    else:
        # block current process
        if Client.mode == Client.SINGLE_MODE:
            Client.send_server(str([98, f"{current_agent.name}({current_agent.state_roles[current_state.name]})", " ", current_state.name]))
            data: list = next(Client.receive_server)


def init(config): 
    if not os.path.exists("logs"):
        os.mkdir("logs")
    sop = SOP.from_config(config)
    agents,roles_to_names,names_to_roles = Agent.from_config(config)
    environment = Environment.from_config(config)
    environment.agents = agents
    environment.roles_to_names,environment.names_to_roles = roles_to_names,names_to_roles
    sop.roles_to_names,sop.names_to_roles = roles_to_names,names_to_roles
    for name,agent in agents.items():
        agent.environment = environment
    return agents,sop,environment

def run(agents,sop,environment):
    while True:      
        current_state,current_agent= sop.next(environment,agents)
        block_when_next(current_agent, current_state)
        if sop.finished:
            print("finished!")
            Client.send_server(str([99, ' ', ' ', current_state.name]))
            os.environ.clear()
            break
        action = current_agent.step(current_state,"")   #component_dict = current_state[self.role[current_node.name]]   current_agent.compile(component_dict) 
        gradio_process(action,current_state)
        memory = process(action)
        environment.update_memory(memory,current_state)
        

def prepare(agents, sop, environment):
    client = Client()
    Client.send_server = client.send_message
    content = sop.states['Affirmative_Task_Allocation_state'].begin_query
    parse_data = DebateUI.extract(content)
    client.send_message(
        {
            "theme": f"{parse_data[0]}",
            "positive": f"{parse_data[1]}",
            "negative": f"{parse_data[2]}",
            "agents_name": DebateUI.convert2list4agentname(sop)[0],
            "only_name":  DebateUI.convert2list4agentname(sop)[0],
            "default_cos_play_id": -1
        }
    )
    client.listening_for_start_()
    client.mode = Client.mode = client.cache["mode"]
    # cover config and then start
    if Client.cache["cosplay"] is not None:
        agents[Client.cache["cosplay"]].is_user = True
    sop.states['Negative_Task_Allocation_state'] = sop.states['Affirmative_Task_Allocation_state'].begin_query = \
        DebateUI.merge(
            theme=Client.cache["theme"], positive=Client.cache["positive"], negative=Client.cache["negative"],
            origin_content=sop.states['Affirmative_Task_Allocation_state'].begin_query
        )


if __name__ == '__main__':
    parser = argparse.ArgumentParser(description='A demo of chatbot')
    parser.add_argument('--agent', type=str, help='path to SOP json', default="config.json")
    args = parser.parse_args()
    
    agents,sop,environment = init(args.agent)
    
    # add ==============================
    prepare(agents, sop, environment)
    # ==================================

    run(agents,sop,environment)