简易支持插件，添加sdwebui(novelai画图), godcmd(管理员指令增强)插件，Banwords(敏感词过滤)插件

.gitignore

@@ -7,3 +7,4 @@ config.json
 QR.png
 nohup.out
 tmp
+plugins.json

app.py

@@ -4,14 +4,17 @@
 from channel import channel_factory
 from common.log import logger
 
-
+from plugins import *
 if __name__ == '__main__':
     try:
         # load config
         config.load_config()
 
         # create channel
-        channel = channel_factory.create_channel("wx")
+        channel_name='wx'
+        channel = channel_factory.create_channel(channel_name)
+        if channel_name=='wx':
+            PluginManager().load_plugins()
 
         # startup channel
         channel.startup()

bot/baidu/baidu_unit_bot.py

@@ -2,6 +2,7 @@
 
 import requests
 from bot.bot import Bot
+from bridge.reply import Reply, ReplyType
 
 
 # Baidu Unit对话接口 (可用, 但能力较弱)
@@ -14,7 +15,8 @@ def reply(self, query, context=None):
         headers = {'content-type': 'application/x-www-form-urlencoded'}
         response = requests.post(url, data=post_data.encode(), headers=headers)
         if response:
-            return response.json()['result']['context']['SYS_PRESUMED_HIST'][1]
+            reply = Reply(ReplyType.TEXT, response.json()['result']['context']['SYS_PRESUMED_HIST'][1])
+            return reply
 
     def get_token(self):
         access_key = 'YOUR_ACCESS_KEY'

bot/bot.py

@@ -3,8 +3,12 @@
 """
 
 
+from bridge.context import Context
+from bridge.reply import Reply
+
+
 class Bot(object):
-    def reply(self, query, context=None):
+    def reply(self, query, context : Context =None) -> Reply:
         """
         bot auto-reply content
         :param req: received message

bot/chatgpt/chat_gpt_bot.py

@@ -1,41 +1,42 @@
 # encoding:utf-8
 
 from bot.bot import Bot
+from bridge.context import ContextType
+from bridge.reply import Reply, ReplyType
 from config import conf, load_config
 from common.log import logger
 from common.expired_dict import ExpiredDict
 import openai
 import time
 
-if conf().get('expires_in_seconds'):
-    all_sessions = ExpiredDict(conf().get('expires_in_seconds'))
-else:
-    all_sessions = dict()
 
 # OpenAI对话模型API (可用)
 class ChatGPTBot(Bot):
     def __init__(self):
         openai.api_key = conf().get('open_ai_api_key')
         proxy = conf().get('proxy')
+        self.sessions = SessionManager()
         if proxy:
             openai.proxy = proxy
 
     def reply(self, query, context=None):
         # acquire reply content
-        if not context or not context.get('type') or context.get('type') == 'TEXT':
+        if context.type == ContextType.TEXT:
             logger.info("[OPEN_AI] query={}".format(query))
-            session_id = context.get('session_id') or context.get('from_user_id')
+            session_id = context['session_id']
+            reply = None
             if query == '#清除记忆':
-                Session.clear_session(session_id)
-                return '记忆已清除'
+                self.sessions.clear_session(session_id)
+                reply = Reply(ReplyType.INFO, '记忆已清除')
             elif query == '#清除所有':
-                Session.clear_all_session()
-                return '所有人记忆已清除'
+                self.sessions.clear_all_session()
+                reply = Reply(ReplyType.INFO, '所有人记忆已清除')
             elif query == '#更新配置':
                 load_config()
-                return '配置已更新'
-
-            session = Session.build_session_query(query, session_id)
+                reply = Reply(ReplyType.INFO, '配置已更新')
+            if reply:
+                return reply
+            session = self.sessions.build_session_query(query, session_id)
             logger.debug("[OPEN_AI] session query={}".format(session))
 
             # if context.get('stream'):
@@ -44,14 +45,29 @@ def reply(self, query, context=None):
 
             reply_content = self.reply_text(session, session_id, 0)
             logger.debug("[OPEN_AI] new_query={}, session_id={}, reply_cont={}".format(session, session_id, reply_content["content"]))
-            if reply_content["completion_tokens"] > 0:
-                Session.save_session(reply_content["content"], session_id, reply_content["total_tokens"])
-            return reply_content["content"]
-
-        elif context.get('type', None) == 'IMAGE_CREATE':
-            return self.create_img(query, 0)
+            if reply_content['completion_tokens'] == 0 and len(reply_content['content']) > 0:
+                reply = Reply(ReplyType.ERROR, reply_content['content'])
+            elif reply_content["completion_tokens"] > 0:
+                self.sessions.save_session(reply_content["content"], session_id, reply_content["total_tokens"])
+                reply = Reply(ReplyType.TEXT, reply_content["content"])
+            else:
+                reply = Reply(ReplyType.ERROR, reply_content['content'])
+                logger.debug("[OPEN_AI] reply {} used 0 tokens.".format(reply_content))
+            return reply
+
+        elif context.type == ContextType.IMAGE_CREATE:
+            ok, retstring = self.create_img(query, 0)
+            reply = None
+            if ok:
+                reply = Reply(ReplyType.IMAGE_URL, retstring)
+            else:
+                reply = Reply(ReplyType.ERROR, retstring)
+            return reply
+        else:
+            reply = Reply(ReplyType.ERROR, 'Bot不支持处理{}类型的消息'.format(context.type))
+            return reply
 
-    def reply_text(self, session, session_id, retry_count=0) ->dict:
+    def reply_text(self, session, session_id, retry_count=0) -> dict:
         '''
         call openai's ChatCompletion to get the answer
         :param session: a conversation session
@@ -70,8 +86,8 @@ def reply_text(self, session, session_id, retry_count=0) ->dict:
                 presence_penalty=0.0,  # [-2,2]之间，该值越大则更倾向于产生不同的内容
             )
             # logger.info("[ChatGPT] reply={}, total_tokens={}".format(response.choices[0]['message']['content'], response["usage"]["total_tokens"]))
-            return {"total_tokens": response["usage"]["total_tokens"], 
-                    "completion_tokens": response["usage"]["completion_tokens"], 
+            return {"total_tokens": response["usage"]["total_tokens"],
+                    "completion_tokens": response["usage"]["completion_tokens"],
                     "content": response.choices[0]['message']['content']}
         except openai.error.RateLimitError as e:
             # rate limit exception
@@ -86,15 +102,15 @@ def reply_text(self, session, session_id, retry_count=0) ->dict:
             # api connection exception
             logger.warn(e)
             logger.warn("[OPEN_AI] APIConnection failed")
-            return {"completion_tokens": 0, "content":"我连接不到你的网络"}
+            return {"completion_tokens": 0, "content": "我连接不到你的网络"}
         except openai.error.Timeout as e:
             logger.warn(e)
             logger.warn("[OPEN_AI] Timeout")
-            return {"completion_tokens": 0, "content":"我没有收到你的消息"}
+            return {"completion_tokens": 0, "content": "我没有收到你的消息"}
         except Exception as e:
             # unknown exception
             logger.exception(e)
-            Session.clear_session(session_id)
+            self.sessions.clear_session(session_id)
             return {"completion_tokens": 0, "content": "请再问我一次吧"}
 
     def create_img(self, query, retry_count=0):
@@ -107,22 +123,29 @@ def create_img(self, query, retry_count=0):
             )
             image_url = response['data'][0]['url']
             logger.info("[OPEN_AI] image_url={}".format(image_url))
-            return image_url
+            return True, image_url
         except openai.error.RateLimitError as e:
             logger.warn(e)
             if retry_count < 1:
                 time.sleep(5)
                 logger.warn("[OPEN_AI] ImgCreate RateLimit exceed, 第{}次重试".format(retry_count+1))
                 return self.create_img(query, retry_count+1)
             else:
-                return "提问太快啦，请休息一下再问我吧"
+                return False, "提问太快啦，请休息一下再问我吧"
         except Exception as e:
             logger.exception(e)
-            return None
+            return False, str(e)
+
+
+class SessionManager(object):
+    def __init__(self):
+        if conf().get('expires_in_seconds'):
+            sessions = ExpiredDict(conf().get('expires_in_seconds'))
+        else:
+            sessions = dict()
+        self.sessions = sessions
 
-class Session(object):
-    @staticmethod
-    def build_session_query(query, session_id):
+    def build_session_query(self, query, session_id):
         '''
         build query with conversation history
         e.g.  [
@@ -135,36 +158,33 @@ def build_session_query(query, session_id):
         :param session_id: session id
         :return: query content with conversaction
         '''
-        session = all_sessions.get(session_id, [])
+        session = self.sessions.get(session_id, [])
         if len(session) == 0:
             system_prompt = conf().get("character_desc", "")
             system_item = {'role': 'system', 'content': system_prompt}
             session.append(system_item)
-            all_sessions[session_id] = session
+            self.sessions[session_id] = session
         user_item = {'role': 'user', 'content': query}
         session.append(user_item)
         return session
 
-    @staticmethod
-    def save_session(answer, session_id, total_tokens):
+    def save_session(self, answer, session_id, total_tokens):
         max_tokens = conf().get("conversation_max_tokens")
         if not max_tokens:
             # default 3000
             max_tokens = 1000
-        max_tokens=int(max_tokens)
+        max_tokens = int(max_tokens)
 
-        session = all_sessions.get(session_id)
+        session = self.sessions.get(session_id)
         if session:
             # append conversation
             gpt_item = {'role': 'assistant', 'content': answer}
             session.append(gpt_item)
 
         # discard exceed limit conversation
-        Session.discard_exceed_conversation(session, max_tokens, total_tokens)
-
+        self.discard_exceed_conversation(session, max_tokens, total_tokens)
 
-    @staticmethod
-    def discard_exceed_conversation(session, max_tokens, total_tokens):
+    def discard_exceed_conversation(self, session, max_tokens, total_tokens):
         dec_tokens = int(total_tokens)
         # logger.info("prompt tokens used={},max_tokens={}".format(used_tokens,max_tokens))
         while dec_tokens > max_tokens:
@@ -173,13 +193,11 @@ def discard_exceed_conversation(session, max_tokens, total_tokens):
                 session.pop(1)
                 session.pop(1)
             else:
-                break    
+                break
             dec_tokens = dec_tokens - max_tokens
 
-    @staticmethod
-    def clear_session(session_id):
-        all_sessions[session_id] = []
+    def clear_session(self, session_id):
+        self.sessions[session_id] = []
 
-    @staticmethod
-    def clear_all_session():
-        all_sessions.clear()
+    def clear_all_session(self):
+        self.sessions.clear()

bot/openai/open_ai_bot.py

@@ -1,6 +1,8 @@
 # encoding:utf-8
 
 from bot.bot import Bot
+from bridge.context import ContextType
+from bridge.reply import Reply, ReplyType
 from config import conf
 from common.log import logger
 import openai
@@ -13,30 +15,31 @@ class OpenAIBot(Bot):
     def __init__(self):
         openai.api_key = conf().get('open_ai_api_key')
 
-
     def reply(self, query, context=None):
         # acquire reply content
-        if not context or not context.get('type') or context.get('type') == 'TEXT':
-            logger.info("[OPEN_AI] query={}".format(query))
-            from_user_id = context.get('from_user_id') or context.get('session_id')
-            if query == '#清除记忆':
-                Session.clear_session(from_user_id)
-                return '记忆已清除'
-            elif query == '#清除所有':
-                Session.clear_all_session()
-                return '所有人记忆已清除'
-
-            new_query = Session.build_session_query(query, from_user_id)
-            logger.debug("[OPEN_AI] session query={}".format(new_query))
-
-            reply_content = self.reply_text(new_query, from_user_id, 0)
-            logger.debug("[OPEN_AI] new_query={}, user={}, reply_cont={}".format(new_query, from_user_id, reply_content))
-            if reply_content and query:
-                Session.save_session(query, reply_content, from_user_id)
-            return reply_content
-
-        elif context.get('type', None) == 'IMAGE_CREATE':
-            return self.create_img(query, 0)
+        if context and context.type:
+            if context.type == ContextType.TEXT:
+                logger.info("[OPEN_AI] query={}".format(query))
+                from_user_id = context['session_id']
+                reply = None
+                if query == '#清除记忆':
+                    Session.clear_session(from_user_id)
+                    reply = Reply(ReplyType.INFO, '记忆已清除')
+                elif query == '#清除所有':
+                    Session.clear_all_session()
+                    reply = Reply(ReplyType.INFO, '所有人记忆已清除')
+                else:
+                    new_query = Session.build_session_query(query, from_user_id)
+                    logger.debug("[OPEN_AI] session query={}".format(new_query))
+
+                    reply_content = self.reply_text(new_query, from_user_id, 0)
+                    logger.debug("[OPEN_AI] new_query={}, user={}, reply_cont={}".format(new_query, from_user_id, reply_content))
+                    if reply_content and query:
+                        Session.save_session(query, reply_content, from_user_id)
+                    reply = Reply(ReplyType.TEXT, reply_content)
+                return reply
+            elif context.type == ContextType.IMAGE_CREATE:
+                return self.create_img(query, 0)
 
     def reply_text(self, query, user_id, retry_count=0):
         try:

bridge/bridge.py

@@ -1,16 +1,42 @@
+from bridge.context import Context
+from bridge.reply import Reply
+from common.log import logger
 from bot import bot_factory
+from common.singleton import singleton
 from voice import voice_factory
 
 
+@singleton
 class Bridge(object):
     def __init__(self):
-        pass
+        self.btype={
+            "chat": "chatGPT",
+            "voice_to_text": "openai",
+            "text_to_voice": "baidu"
+        }
+        self.bots={}
 
-    def fetch_reply_content(self, query, context):
-        return bot_factory.create_bot("chatGPT").reply(query, context)
+    def get_bot(self,typename):
+        if self.bots.get(typename) is None:
+            logger.info("create bot {} for {}".format(self.btype[typename],typename))
+            if typename == "text_to_voice":
+                self.bots[typename] = voice_factory.create_voice(self.btype[typename])
+            elif typename == "voice_to_text":
+                self.bots[typename] = voice_factory.create_voice(self.btype[typename])
+            elif typename == "chat":
+                self.bots[typename] = bot_factory.create_bot(self.btype[typename])
+        return self.bots[typename]
+
+    def get_bot_type(self,typename):
+        return self.btype[typename]
 
-    def fetch_voice_to_text(self, voiceFile):
-        return voice_factory.create_voice("openai").voiceToText(voiceFile)
 
-    def fetch_text_to_voice(self, text):
-        return voice_factory.create_voice("baidu").textToVoice(text)
+    def fetch_reply_content(self, query, context : Context) -> Reply:
+        return self.get_bot("chat").reply(query, context)
+
+    def fetch_voice_to_text(self, voiceFile) -> Reply:
+        return self.get_bot("voice_to_text").voiceToText(voiceFile)
+
+    def fetch_text_to_voice(self, text) -> Reply:
+        return self.get_bot("text_to_voice").textToVoice(text)
+