chatgpt-on-wechat/channel/channel.py

"""
Message sending channel abstract class
"""

from bridge.bridge import Bridge
from bridge.context import Context
from bridge.reply import *
from common.log import logger
from config import conf


class Channel(object):
    channel_type = ""
    NOT_SUPPORT_REPLYTYPE = [ReplyType.VOICE, ReplyType.IMAGE]

    def startup(self):
        """
        init channel
        """
        raise NotImplementedError

    def handle_text(self, msg):
        """
        process received msg
        :param msg: message object
        """
        raise NotImplementedError

    # 统一的发送函数，每个Channel自行实现，根据reply的type字段发送不同类型的消息
    def send(self, reply: Reply, context: Context):
        """
        send message to user
        :param msg: message content
        :param receiver: receiver channel account
        :return:
        """
        raise NotImplementedError

    def build_reply_content(self, query, context: Context = None) -> Reply:
        """
        Build reply content, using agent if enabled in config
        """
        # Check if agent mode is enabled
        use_agent = conf().get("agent", False)

        if use_agent:
            try:
                logger.info("[Channel] Using agent mode")

                # Add channel_type to context if not present
                if context and "channel_type" not in context:
                    context["channel_type"] = self.channel_type

                # Use agent bridge to handle the query
                return Bridge().fetch_agent_reply(
                    query=query,
                    context=context,
                    on_event=None,
                    clear_history=False
                )
            except Exception as e:
                logger.error(f"[Channel] Agent mode failed, fallback to normal mode: {e}")
                # Fallback to normal mode if agent fails
                return Bridge().fetch_reply_content(query, context)
        else:
            # Normal mode
            return Bridge().fetch_reply_content(query, context)

    def build_voice_to_text(self, voice_file) -> Reply:
        return Bridge().fetch_voice_to_text(voice_file)

    def build_text_to_voice(self, text) -> Reply:
        return Bridge().fetch_text_to_voice(text)