olivebot/test/rasa/actions/actions.py

from rasa_sdk import Action,Tracker
from rasa_sdk.executor import CollectingDispatcher
from datetime import datetime
from dateutil.parser import parse
from dateutil.relativedelta import relativedelta
import json
import requests
from rasa_sdk.forms import FormValidationAction

# from utils.openai_api.openai_api_request import chat

class ValidateScheduleReminderForm(FormValidationAction):
    def name(self) :
        return "validate_schedule_reminder_form"

    async def validate_date(self, value, dispatcher: CollectingDispatcher, tracker: Tracker, domain) :
        # 在这里添加您的日期验证逻辑
        return {"date": value}

    async def validate_time(self, value, dispatcher: CollectingDispatcher, tracker: Tracker, domain):
        # 在这里添加您的时间验证逻辑
        return {"time": value}

    async def validate_event(self, value, dispatcher: CollectingDispatcher, tracker: Tracker, domain):
        # 在这里添加您的事件验证逻辑
        return {"event": value}


class ActionGPTResponse(Action):
    def name(self) -> str:
        return "action_gpt_response"

    async def run(self, dispatcher: CollectingDispatcher, tracker, domain):
        history = []
        user_messages = []
        bot_messages = []
        
        # Separate user messages and bot messages
        for event in tracker.events:
            if event.get("text") == "":
                    continue
            answer_info = dict()
            if event.get("event") == "user":
                user_messages.append(event.get("text"))
                answer_info["role"] = "user"
                answer_info["content"] = event.get("text")
                history.append(answer_info)
            elif event.get("event") == "bot":
                bot_messages.append(event.get("text"))
                answer_info["role"] = "assistant"
                answer_info["content"] = event.get("text")
                history.append(answer_info)

        # Combine user and bot messages
        # for user, bot in zip(user_messages, bot_messages):
        #     history.append([user, bot])

        print("*******************************")
        print(history)
        print("*******************************")

        current_chat={'role': 'user', 'content': tracker.latest_message.get("text")}
        history.append(current_chat)

        url = "http://192.168.1.111:8101/v1/chat/completions"
        req = json.dumps({
            "model": "THUDM/chatglm3-6b",
            "messages": history,
            "max_tokens": 768,
            "temperature": 0})
        print(req)
        headers = {'content-type': 'application/json'}
        r = requests.post(url, headers=headers, json={
            "model": "THUDM/chatglm3-6b",
            "messages": history,
            "max_tokens": 768,
            "temperature": 0})

        a = json.loads(r.text)['choices'][0]['message']['content']
        # history = json.loads(r.text).get('history')

        dispatcher.utter_message(a)

        return []


class ActionAskDate(Action):
    def name(self):
        return "action_ask_date"

    async def run(self, dispatcher, tracker, domain):
        # 获取当前日期
        today = datetime.now().date()
        # 获取星期几的信息
        week_day = today.strftime("%A")
        # 将星期几的英文名称转换为中文
        week_day_zh = {
            "Monday": "星期一",
            "Tuesday": "星期二",
            "Wednesday": "星期三",
            "Thursday": "星期四",
            "Friday": "星期五",
            "Saturday": "星期六",
            "Sunday": "星期日",
        }.get(week_day, "未知")
        # 将日期格式化为字符串
        date_str = today.strftime("%Y年%m月%d日")
        # 将日期和星期信息发送给用户
        dispatcher.utter_message(text=f"今天是 {date_str} {week_day_zh}。")


class ActionAskTime(Action):
    def name(self):
        return "action_ask_time"

    async def run(self, dispatcher, tracker, domain):
        # 获取当前时间
        now = datetime.now()
        # 将时间格式化为字符串
        time_str = now.strftime("%H:%M")
        # 将时间信息发送给用户
        dispatcher.utter_message(text=f"现在是 {time_str}。")

def parse_datetime(datetime_str):
    try:
        datetime_obj = parse(datetime_str, fuzzy=True)
        if "周" in datetime_str:  # 处理相对日期，如 "周五"
            today = datetime.now().date()
            weekday_diff = (datetime_obj.weekday() - today.weekday()) % 7
            datetime_obj = today + relativedelta(days=weekday_diff)
        return datetime_obj
    except ValueError:
        print("无法解析日期和时间")
    
class ActionAskProblem(Action):
    def name(self) -> str:
        return "action_ask_problem"

    async def run(self, dispatcher: CollectingDispatcher, tracker, domain):
        history = []
        user_messages = []
        bot_messages = []
        
        # Separate user messages and bot messages
        for event in tracker.events:
            if event.get("text") == "":
                continue
            answer_info = dict()
            if event.get("event") == "user":
                user_messages.append(event.get("text"))
                answer_info["role"] = "user"
                answer_info["content"] = event.get("text")
                history.append(answer_info)
            elif event.get("event") == "bot":
                bot_messages.append(event.get("text"))
                answer_info["role"] = "assistant"
                answer_info["content"] = event.get("text")
                history.append(answer_info)
            
        # Combine user and bot messages
        # for user, bot in zip(user_messages, bot_messages):
        #     history.append([user, bot])

        print("*******************************")
        print(history)
        print("*******************************")

        current_chat={'role': 'user', 'content': tracker.latest_message.get("text")}
        history.append(current_chat)

        url = "http://192.168.1.111:8101/v1/chat/completions"
        req = json.dumps({
            "model": "THUDM/chatglm3-6b",
            "messages": history,
            "max_tokens": 768,
            "temperature": 0})
        
        print(req)

        headers = {'content-type': 'application/json'}
        r = requests.post(url, headers=headers, json={
            "model": "THUDM/chatglm3-6b",
            "messages": history,
            "max_tokens": 768,
            "temperature": 0})
        # a = json.loads(r.text).get('response')
        #如果是vll推理则用
        a = json.loads(r.text)['choices'][0]['message']['content']
        # history = json.loads(r.text).get('history')
        


        dispatcher.utter_message(a)

        return []