ai-on-wechat/channel/wechatmp/active_reply.py

import time

import web

from channel.wechatmp.wechatmp_message import parse_xml
from channel.wechatmp.passive_reply_message import TextMsg
from bridge.context import *
from channel.wechatmp.common import *
from channel.wechatmp.wechatmp_channel import WechatMPChannel
from common.log import logger
from config import conf


# This class is instantiated once per query
class Query:
    def GET(self):
        return verify_server(web.input())

    def POST(self):
        # Make sure to return the instance that first created, @singleton will do that.
        channel = WechatMPChannel()
        try:
            webData = web.data()
            # logger.debug("[wechatmp] Receive request:\n" + webData.decode("utf-8"))
            wechatmp_msg = parse_xml(webData)
            if (
                wechatmp_msg.msg_type == "text" 
                or wechatmp_msg.msg_type == "voice" 
                # or wechatmp_msg.msg_type == "image"
            ):
                from_user = wechatmp_msg.from_user_id
                message = wechatmp_msg.content.decode("utf-8")
                message_id = wechatmp_msg.msg_id

                logger.info(
                    "[wechatmp] {}:{} Receive post query {} {}: {}".format(
                        web.ctx.env.get("REMOTE_ADDR"),
                        web.ctx.env.get("REMOTE_PORT"),
                        from_user,
                        message_id,
                        message,
                    )
                )
                context = channel._compose_context(
                    ContextType.TEXT, message, isgroup=False, msg=wechatmp_msg
                )
                if context:
                    # set private openai_api_key
                    # if from_user is not changed in itchat, this can be placed at chat_channel
                    user_data = conf().get_user_data(from_user)
                    context["openai_api_key"] = user_data.get(
                        "openai_api_key"
                    )  # None or user openai_api_key
                    channel.produce(context)
                # The reply will be sent by channel.send() in another thread
                return "success"

            elif wechatmp_msg.msg_type == "event":
                logger.info(
                    "[wechatmp] Event {} from {}".format(
                        wechatmp_msg.Event, wechatmp_msg.from_user_id
                    )
                )
                content = subscribe_msg()
                replyMsg = TextMsg(
                    wechatmp_msg.from_user_id, wechatmp_msg.to_user_id, content
                )
                return replyMsg.send()
            else:
                logger.info("暂且不处理")
                return "success"
        except Exception as exc:
            logger.exception(exc)
            return exc