Merge pull request #1332 from zhayujie/feat-1.3.3

fix: reduce memory usage

.github/workflows/deploy-image.yml

@@ -28,6 +28,12 @@ jobs:
       - name: Checkout repository
         uses: actions/checkout@v3
 
+      - name: Login to Docker Hub
+        uses: docker/login-action@v2
+        with:
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
+
       - name: Log in to the Container registry
         uses: docker/login-action@v2
         with:
@@ -39,7 +45,9 @@ jobs:
         id: meta
         uses: docker/metadata-action@v4
         with:
-          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
+          images: |
+            ${{ env.IMAGE_NAME }}
+            ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
 
       - name: Build and push Docker image
         uses: docker/build-push-action@v3

README.md

@@ -13,19 +13,23 @@
 
 > 欢迎接入更多应用，参考 [Terminal代码](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/channel/terminal/terminal_channel.py)实现接收和发送消息逻辑即可接入。 同时欢迎增加新的插件，参考 [插件说明文档](https://github.com/zhayujie/chatgpt-on-wechat/tree/master/plugins)。
 
-**一键部署:**
-
-[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/qApznZ?referralCode=RC3znh)
-
 # 演示
 
 https://user-images.githubusercontent.com/26161723/233777277-e3b9928e-b88f-43e2-b0e0-3cbc923bc799.mp4
 
 Demo made by [Visionn](https://www.wangpc.cc/)
 
+# 交流群
+
+添加小助手微信进群，请备注 "wechat"：
+
+<img width="240" src="./docs/images/contact.jpg">
+
 # 更新日志
 
->**2023.04.26：** 支持企业微信应用号部署，兼容插件，并支持语音图片交互，支持Railway部署，[使用文档](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/channel/wechatcom/README.md)。(contributed by [@lanvent](https://github.com/lanvent) in [#944](https://github.com/zhayujie/chatgpt-on-wechat/pull/944))
+>**2023.06.12：** 接入 [LinkAI](https://chat.link-ai.tech/console) 平台，可在线创建 个人知识库，并接入微信、公众号及企业微信中。使用参考 [接入文档](https://link-ai.tech/platform/link-app/wechat)。
+
+>**2023.04.26：** 支持企业微信应用号部署，兼容插件，并支持语音图片交互，私人助理理想选择，[使用文档](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/channel/wechatcom/README.md)。(contributed by [@lanvent](https://github.com/lanvent) in [#944](https://github.com/zhayujie/chatgpt-on-wechat/pull/944))
 
 >**2023.04.05：** 支持微信公众号部署，兼容插件，并支持语音图片交互，[使用文档](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/channel/wechatmp/README.md)。(contributed by [@JS00000](https://github.com/JS00000) in [#686](https://github.com/zhayujie/chatgpt-on-wechat/pull/686))
 
@@ -54,6 +58,8 @@ Demo made by [Visionn](https://www.wangpc.cc/)
 支持 Linux、MacOS、Windows 系统（可在Linux服务器上长期运行)，同时需安装 `Python`。
 > 建议Python版本在 3.7.1~3.9.X 之间，推荐3.8版本，3.10及以上版本在 MacOS 可用，其他系统上不确定能否正常运行。
 
+> 注意：Docker 或 Railway 部署无需安装python环境和下载源码，可直接快进到下一节。
+
 **(1) 克隆项目代码：**
 
 ```bash
@@ -116,6 +122,7 @@ pip3 install azure-cognitiveservices-speech
   "speech_recognition": false,                                # 是否开启语音识别
   "group_speech_recognition": false,                          # 是否开启群组语音识别
   "use_azure_chatgpt": false,                                 # 是否使用Azure ChatGPT service代替openai ChatGPT service. 当设置为true时需要设置 open_ai_api_base，如 https://xxx.openai.azure.com/
+  "azure_deployment_id": "",                                  # 采用Azure ChatGPT时，模型部署名称
   "character_desc": "你是ChatGPT, 一个由OpenAI训练的大型语言模型, 你旨在回答并解决人们的任何问题，并且可以使用多种语言与人交流。",  # 人格描述
   # 订阅消息，公众号和企业微信channel中请填写，当被订阅时会自动回复，可使用特殊占位符。目前支持的占位符有{trigger_prefix}，在程序中它会自动替换成bot的触发词。
   "subscribe_msg": "感谢您的关注！\n这里是ChatGPT，可以自由对话。\n支持语音对话。\n支持图片输出，画字开头的消息将按要求创作图片。\n支持角色扮演和文字冒险等丰富插件。\n输入{trigger_prefix}#help 查看详细指令。"
@@ -143,11 +150,11 @@ pip3 install azure-cognitiveservices-speech
 
 **4.其他配置**
 
-+ `model`: 模型名称，目前支持 `gpt-3.5-turbo`, `text-davinci-003`, `gpt-4`, `gpt-4-32k`  (其中gpt-4 api暂未开放)
++ `model`: 模型名称，目前支持 `gpt-3.5-turbo`, `text-davinci-003`, `gpt-4`, `gpt-4-32k`  (其中gpt-4 api暂未完全开放，申请通过后可使用)
 + `temperature`,`frequency_penalty`,`presence_penalty`: Chat API接口参数，详情参考[OpenAI官方文档。](https://platform.openai.com/docs/api-reference/chat)
 + `proxy`：由于目前 `openai` 接口国内无法访问，需配置代理客户端的地址，详情参考  [#351](https://github.com/zhayujie/chatgpt-on-wechat/issues/351)
 + 对于图像生成，在满足个人或群组触发条件外，还需要额外的关键词前缀来触发，对应配置 `image_create_prefix `
-+ 关于OpenAI对话及图片接口的参数配置（内容自由度、回复字数限制、图片大小等），可以参考 [对话接口](https://beta.openai.com/docs/api-reference/completions) 和 [图像接口](https://beta.openai.com/docs/api-reference/completions)  文档直接在 [代码](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/bot/openai/open_ai_bot.py) `bot/openai/open_ai_bot.py` 中进行调整。
++ 关于OpenAI对话及图片接口的参数配置（内容自由度、回复字数限制、图片大小等），可以参考 [对话接口](https://beta.openai.com/docs/api-reference/completions) 和 [图像接口](https://beta.openai.com/docs/api-reference/completions)  文档，在[`config.py`](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/config.py)中检查哪些参数在本项目中是可配置的。
 + `conversation_max_tokens`：表示能够记忆的上下文最大字数（一问一答为一组对话，如果累积的对话字数超出限制，就会优先移除最早的一组对话）
 + `rate_limit_chatgpt`，`rate_limit_dalle`：每分钟最高问答速率、画图速率，超速后排队按序处理。
 + `clear_memory_commands`: 对话内指令，主动清空前文记忆，字符串数组可自定义指令别名。
@@ -155,7 +162,7 @@ pip3 install azure-cognitiveservices-speech
 + `character_desc` 配置中保存着你对机器人说的一段话，他会记住这段话并作为他的设定，你可以为他定制任何人格      (关于会话上下文的更多内容参考该 [issue](https://github.com/zhayujie/chatgpt-on-wechat/issues/43))
 + `subscribe_msg`：订阅消息，公众号和企业微信channel中请填写，当被订阅时会自动回复， 可使用特殊占位符。目前支持的占位符有{trigger_prefix}，在程序中它会自动替换成bot的触发词。
 
-**所有可选的配置项均在该[文件](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/config.py)中列出。**
+**本说明文档可能会未及时更新，当前所有可选的配置项均在该[`config.py`](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/config.py)中列出。**
 
 ## 运行
 
@@ -186,21 +193,71 @@ nohup python3 app.py & tail -f nohup.out          # 在后台运行程序并通
 
 ### 3.Docker部署
 
-参考文档 [Docker部署](https://github.com/limccn/chatgpt-on-wechat/wiki/Docker%E9%83%A8%E7%BD%B2)   (Contributed by [limccn](https://github.com/limccn))。
+> 使用docker部署无需下载源码和安装依赖，只需要获取 docker-compose.yml 配置文件并启动容器即可。
 
-### 4. Railway部署 (✅推荐)
-> Railway每月提供5刀和最多500小时的免费额度。
-1. 进入 [Railway](https://railway.app/template/qApznZ?referralCode=RC3znh)。
+> 前提是需要安装好 `docker` 及 `docker-compose`，安装成功的表现是执行 `docker -v` 和 `docker-compose version` (或 docker compose version) 可以查看到版本号，可前往 [docker官网](https://docs.docker.com/engine/install/) 进行下载。
+
+#### (1) 下载 docker-compose.yml 文件
+
+```bash
+wget https://open-1317903499.cos.ap-guangzhou.myqcloud.com/docker-compose.yml
+```
+
+下载完成后打开 `docker-compose.yml` 修改所需配置，如 `OPEN_AI_API_KEY` 和 `GROUP_NAME_WHITE_LIST` 等。
+
+#### (2) 启动容器
+
+在 `docker-compose.yml` 所在目录下执行以下命令启动容器：
+
+```bash
+sudo docker compose up -d
+```
+
+运行 `sudo docker ps` 能查看到 NAMES 为 chatgpt-on-wechat 的容器即表示运行成功。
+
+注意：
+
+ - 如果 `docker-compose` 是 1.X 版本 则需要执行 `sudo  docker-compose up -d` 来启动容器
+ - 该命令会自动去 [docker hub](https://hub.docker.com/r/zhayujie/chatgpt-on-wechat) 拉取 latest 版本的镜像，latest 镜像会在每次项目 release 新的版本时生成
+
+最后运行以下命令可查看容器运行日志，扫描日志中的二维码即可完成登录：
+
+```bash
+sudo docker logs -f chatgpt-on-wechat
+```
+
+#### (3) 插件使用
+
+如果需要在docker容器中修改插件配置，可通过挂载的方式完成，将 [插件配置文件](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/plugins/config.json.template)
+重命名为 `config.json`，放置于 `docker-compose.yml` 相同目录下，并在 `docker-compose.yml` 中的 `chatgpt-on-wechat` 部分下添加 `volumes` 映射:
+
+```
+volumes:
+  - ./config.json:/app/plugins/config.json
+```
+
+### 4. Railway部署
+
+> Railway 每月提供5刀和最多500小时的免费额度。 (07.11更新: 目前大部分账号已无法免费部署)
+
+1. 进入 [Railway](https://railway.app/template/qApznZ?referralCode=RC3znh)
 2. 点击 `Deploy Now` 按钮。
 3. 设置环境变量来重载程序运行的参数，例如`open_ai_api_key`, `character_desc`。
 
+**一键部署:**
+  
+  [![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/qApznZ?referralCode=RC3znh)
+
 ## 常见问题
 
 FAQs： <https://github.com/zhayujie/chatgpt-on-wechat/wiki/FAQs>
 
+或直接在线咨询 [项目小助手](https://chat.link-ai.tech/app/Kv2fXJcH)  (beta版本，语料完善中，回复仅供参考)
 
 ## 联系
 
-欢迎提交PR、Issues，以及Star支持一下。程序运行遇到问题优先查看 [常见问题列表](https://github.com/zhayujie/chatgpt-on-wechat/wiki/FAQs) ，其次前往 [Issues](https://github.com/zhayujie/chatgpt-on-wechat/issues) 中搜索。如果你想了解更多项目细节，并与开发者们交流更多关于AI技术的实践，欢迎加入星球:
+欢迎提交PR、Issues，以及Star支持一下。程序运行遇到问题可以查看 [常见问题列表](https://github.com/zhayujie/chatgpt-on-wechat/wiki/FAQs) ，其次前往 [Issues](https://github.com/zhayujie/chatgpt-on-wechat/issues) 中搜索。
+
+如果你想了解更多项目细节，与开发者们交流更多关于AI技术的实践，欢迎加入星球:
 
 <a href="https://public.zsxq.com/groups/88885848842852.html"><img width="360" src="./docs/images/planet.jpg"></a>

bot/bot_factory.py

@@ -33,4 +33,9 @@ def create_bot(bot_type):
         from bot.chatgpt.chat_gpt_bot import AzureChatGPTBot
 
         return AzureChatGPTBot()
+
+    elif bot_type == const.LINKAI:
+        from bot.linkai.link_ai_bot import LinkAIBot
+        return LinkAIBot()
+
     raise RuntimeError

bot/chatgpt/chat_gpt_bot.py

@@ -36,7 +36,7 @@ class ChatGPTBot(Bot, OpenAIImage):
             "model": conf().get("model") or "gpt-3.5-turbo",  # 对话模型的名称
             "temperature": conf().get("temperature", 0.9),  # 值在[0,1]之间，越大表示回复越具有不确定性
             # "max_tokens":4096,  # 回复最大的字符数
-            "top_p": 1,
+            "top_p": conf().get("top_p", 1),
             "frequency_penalty": conf().get("frequency_penalty", 0.0),  # [-2,2]之间，该值越大则更倾向于产生不同的内容
             "presence_penalty": conf().get("presence_penalty", 0.0),  # [-2,2]之间，该值越大则更倾向于产生不同的内容
             "request_timeout": conf().get("request_timeout", None),  # 请求超时时间，openai接口默认设置为600，对于难问题一般需要较长时间
@@ -66,12 +66,16 @@ class ChatGPTBot(Bot, OpenAIImage):
             logger.debug("[CHATGPT] session query={}".format(session.messages))
 
             api_key = context.get("openai_api_key")
-
+            model = context.get("gpt_model")
+            new_args = None
+            if model:
+                new_args = self.args.copy()
+                new_args["model"] = model
             # if context.get('stream'):
             #     # reply in stream
             #     return self.reply_text_stream(query, new_query, session_id)
 
-            reply_content = self.reply_text(session, api_key)
+            reply_content = self.reply_text(session, api_key, args=new_args)
             logger.debug(
                 "[CHATGPT] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format(
                     session.messages,
@@ -102,7 +106,7 @@ class ChatGPTBot(Bot, OpenAIImage):
             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: ChatGPTSession, api_key=None, retry_count=0) -> dict:
+    def reply_text(self, session: ChatGPTSession, api_key=None, args=None, retry_count=0) -> dict:
         """
         call openai's ChatCompletion to get the answer
         :param session: a conversation session
@@ -114,7 +118,10 @@ class ChatGPTBot(Bot, OpenAIImage):
             if conf().get("rate_limit_chatgpt") and not self.tb4chatgpt.get_token():
                 raise openai.error.RateLimitError("RateLimitError: rate limit exceeded")
             # if api_key == None, the default openai.api_key will be used
-            response = openai.ChatCompletion.create(api_key=api_key, messages=session.messages, **self.args)
+            if args is None:
+                args = self.args
+            response = openai.ChatCompletion.create(api_key=api_key, messages=session.messages, **args)
+            # logger.debug("[CHATGPT] response={}".format(response))
             # logger.info("[ChatGPT] reply={}, total_tokens={}".format(response.choices[0]['message']['content'], response["usage"]["total_tokens"]))
             return {
                 "total_tokens": response["usage"]["total_tokens"],
@@ -134,18 +141,23 @@ class ChatGPTBot(Bot, OpenAIImage):
                 result["content"] = "我没有收到你的消息"
                 if need_retry:
                     time.sleep(5)
+            elif isinstance(e, openai.error.APIError):
+                logger.warn("[CHATGPT] Bad Gateway: {}".format(e))
+                result["content"] = "请再问我一次"
+                if need_retry:
+                    time.sleep(10)
             elif isinstance(e, openai.error.APIConnectionError):
                 logger.warn("[CHATGPT] APIConnectionError: {}".format(e))
                 need_retry = False
                 result["content"] = "我连接不到你的网络"
             else:
-                logger.warn("[CHATGPT] Exception: {}".format(e))
+                logger.exception("[CHATGPT] Exception: {}".format(e))
                 need_retry = False
                 self.sessions.clear_session(session.session_id)
 
             if need_retry:
                 logger.warn("[CHATGPT] 第{}次重试".format(retry_count + 1))
-                return self.reply_text(session, api_key, retry_count + 1)
+                return self.reply_text(session, api_key, args, retry_count + 1)
             else:
                 return result
 

bot/chatgpt/chat_gpt_session.py

@@ -57,24 +57,25 @@ def num_tokens_from_messages(messages, model):
     """Returns the number of tokens used by a list of messages."""
     import tiktoken
 
+    if model in ["gpt-3.5-turbo-0301", "gpt-35-turbo"]:
+        return num_tokens_from_messages(messages, model="gpt-3.5-turbo")
+    elif model in ["gpt-4-0314", "gpt-4-0613", "gpt-4-32k", "gpt-4-32k-0613", "gpt-3.5-turbo-0613", "gpt-3.5-turbo-16k", "gpt-3.5-turbo-16k-0613", "gpt-35-turbo-16k"]:
+        return num_tokens_from_messages(messages, model="gpt-4")
+
     try:
         encoding = tiktoken.encoding_for_model(model)
     except KeyError:
         logger.debug("Warning: model not found. Using cl100k_base encoding.")
         encoding = tiktoken.get_encoding("cl100k_base")
-    if model == "gpt-3.5-turbo" or model == "gpt-35-turbo":
-        return num_tokens_from_messages(messages, model="gpt-3.5-turbo-0301")
-    elif model == "gpt-4":
-        return num_tokens_from_messages(messages, model="gpt-4-0314")
-    elif model == "gpt-3.5-turbo-0301":
+    if model == "gpt-3.5-turbo":
         tokens_per_message = 4  # every message follows <|start|>{role/name}\n{content}<|end|>\n
         tokens_per_name = -1  # if there's a name, the role is omitted
-    elif model == "gpt-4-0314":
+    elif model == "gpt-4":
         tokens_per_message = 3
         tokens_per_name = 1
     else:
-        logger.warn(f"num_tokens_from_messages() is not implemented for model {model}. Returning num tokens assuming gpt-3.5-turbo-0301.")
-        return num_tokens_from_messages(messages, model="gpt-3.5-turbo-0301")
+        logger.warn(f"num_tokens_from_messages() is not implemented for model {model}. Returning num tokens assuming gpt-3.5-turbo.")
+        return num_tokens_from_messages(messages, model="gpt-3.5-turbo")
     num_tokens = 0
     for message in messages:
         num_tokens += tokens_per_message

bot/linkai/link_ai_bot.py

@@ -0,0 +1,108 @@
+# access LinkAI knowledge base platform
+# docs: https://link-ai.tech/platform/link-app/wechat
+
+import time
+
+import requests
+
+from bot.bot import Bot
+from bot.chatgpt.chat_gpt_session import ChatGPTSession
+from bot.openai.open_ai_image import OpenAIImage
+from bot.session_manager import SessionManager
+from bridge.context import Context, ContextType
+from bridge.reply import Reply, ReplyType
+from common.log import logger
+from config import conf
+
+
+class LinkAIBot(Bot, OpenAIImage):
+    # authentication failed
+    AUTH_FAILED_CODE = 401
+    NO_QUOTA_CODE = 406
+
+    def __init__(self):
+        super().__init__()
+        self.base_url = "https://api.link-ai.chat/v1"
+        self.sessions = SessionManager(ChatGPTSession, model=conf().get("model") or "gpt-3.5-turbo")
+
+    def reply(self, query, context: Context = None) -> Reply:
+        if context.type == ContextType.TEXT:
+            return self._chat(query, context)
+        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 _chat(self, query, context, retry_count=0):
+        if retry_count >= 2:
+            # exit from retry 2 times
+            logger.warn("[LINKAI] failed after maximum number of retry times")
+            return Reply(ReplyType.ERROR, "请再问我一次吧")
+
+        try:
+            # load config
+            if context.get("generate_breaked_by"):
+                logger.info(f"[LINKAI] won't set appcode because a plugin ({context['generate_breaked_by']}) affected the context")
+                app_code = None
+            else:
+                app_code = conf().get("linkai_app_code")
+            linkai_api_key = conf().get("linkai_api_key")
+
+            session_id = context["session_id"]
+
+            session = self.sessions.session_query(query, session_id)
+
+            # remove system message
+            if app_code and session.messages[0].get("role") == "system":
+                session.messages.pop(0)
+
+            logger.info(f"[LINKAI] query={query}, app_code={app_code}")
+
+            body = {
+                "appCode": app_code,
+                "messages": session.messages,
+                "model": conf().get("model") or "gpt-3.5-turbo",  # 对话模型的名称
+                "temperature": conf().get("temperature"),
+                "top_p": conf().get("top_p", 1),
+                "frequency_penalty": conf().get("frequency_penalty", 0.0),  # [-2,2]之间，该值越大则更倾向于产生不同的内容
+                "presence_penalty": conf().get("presence_penalty", 0.0),  # [-2,2]之间，该值越大则更倾向于产生不同的内容
+            }
+            headers = {"Authorization": "Bearer " + linkai_api_key}
+
+            # do http request
+            res = requests.post(url=self.base_url + "/chat/completion", json=body, headers=headers).json()
+
+            if not res or not res["success"]:
+                if res.get("code") == self.AUTH_FAILED_CODE:
+                    logger.exception(f"[LINKAI] please check your linkai_api_key, res={res}")
+                    return Reply(ReplyType.ERROR, "请再问我一次吧")
+
+                elif res.get("code") == self.NO_QUOTA_CODE:
+                    logger.exception(f"[LINKAI] please check your account quota, https://chat.link-ai.tech/console/account")
+                    return Reply(ReplyType.ERROR, "提问太快啦，请休息一下再问我吧")
+
+                else:
+                    # retry
+                    time.sleep(2)
+                    logger.warn(f"[LINKAI] do retry, times={retry_count}")
+                    return self._chat(query, context, retry_count + 1)
+
+            # execute success
+            reply_content = res["data"]["content"]
+            logger.info(f"[LINKAI] reply={reply_content}")
+            self.sessions.session_reply(reply_content, session_id)
+            return Reply(ReplyType.TEXT, reply_content)
+
+        except Exception as e:
+            logger.exception(e)
+            # retry
+            time.sleep(2)
+            logger.warn(f"[LINKAI] do retry, times={retry_count}")
+            return self._chat(query, context, retry_count + 1)

bridge/bridge.py

@@ -23,6 +23,8 @@ class Bridge(object):
             self.btype["chat"] = const.OPEN_AI
         if conf().get("use_azure_chatgpt", False):
             self.btype["chat"] = const.CHATGPTONAZURE
+        if conf().get("use_linkai") and conf().get("linkai_api_key"):
+            self.btype["chat"] = const.LINKAI
         self.bots = {}
 
     def get_bot(self, typename):

channel/chat_channel.py

@@ -50,6 +50,7 @@ class ChatChannel(Channel):
             cmsg = context["msg"]
             user_data = conf().get_user_data(cmsg.from_user_id)
             context["openai_api_key"] = user_data.get("openai_api_key")
+            context["gpt_model"] = user_data.get("gpt_model")
             if context.get("isgroup", False):
                 group_name = cmsg.other_user_nickname
                 group_id = cmsg.other_user_id
@@ -161,6 +162,8 @@ class ChatChannel(Channel):
         reply = e_context["reply"]
         if not e_context.is_pass():
             logger.debug("[WX] ready to handle context: type={}, content={}".format(context.type, context.content))
+            if e_context.is_break():
+                context["generate_breaked_by"] = e_context["breaked_by"]
             if context.type == ContextType.TEXT or context.type == ContextType.IMAGE_CREATE:  # 文字和图片消息
                 reply = super().build_reply_content(context.content, context)
             elif context.type == ContextType.VOICE:  # 语音消息
@@ -219,10 +222,10 @@ class ChatChannel(Channel):
                         reply = super().build_text_to_voice(reply.content)
                         return self._decorate_reply(context, reply)
                     if context.get("isgroup", False):
-                        reply_text = "@" + context["msg"].actual_user_nickname + " " + reply_text.strip()
-                        reply_text = conf().get("group_chat_reply_prefix", "") + reply_text
+                        reply_text = "@" + context["msg"].actual_user_nickname + "\n" + reply_text.strip()
+                        reply_text = conf().get("group_chat_reply_prefix", "") + reply_text + conf().get("group_chat_reply_suffix", "")
                     else:
-                        reply_text = conf().get("single_chat_reply_prefix", "") + reply_text
+                        reply_text = conf().get("single_chat_reply_prefix", "") + reply_text + conf().get("single_chat_reply_suffix", "")
                     reply.content = reply_text
                 elif reply.type == ReplyType.ERROR or reply.type == ReplyType.INFO:
                     reply.content = "[" + str(reply.type) + "]\n" + reply.content

channel/wechat/wechat_channel.py

@@ -23,7 +23,6 @@ from common.time_check import time_checker
 from config import conf, get_appdata_dir
 from lib import itchat
 from lib.itchat.content import *
-from plugins import *
 
 
 @itchat.msg_register([TEXT, VOICE, PICTURE, NOTE])
@@ -54,7 +53,7 @@ def _check(func):
         if msgId in self.receivedMsgs:
             logger.info("Wechat message {} already received, ignore".format(msgId))
             return
-        self.receivedMsgs[msgId] = cmsg
+        self.receivedMsgs[msgId] = True
         create_time = cmsg.create_time  # 消息时间戳
         if conf().get("hot_reload") == True and int(create_time) < int(time.time()) - 60:  # 跳过1分钟前的历史消息
             logger.debug("[WX]history message {} skipped".format(msgId))
@@ -106,7 +105,7 @@ class WechatChannel(ChatChannel):
 
     def __init__(self):
         super().__init__()
-        self.receivedMsgs = ExpiredDict(60 * 60 * 24)
+        self.receivedMsgs = ExpiredDict(60 * 60)
 
     def startup(self):
         itchat.instance.receivingRetryCount = 600  # 修改断线超时时间
@@ -160,7 +159,7 @@ class WechatChannel(ChatChannel):
     @_check
     def handle_group(self, cmsg: ChatMessage):
         if cmsg.ctype == ContextType.VOICE:
-            if conf().get("speech_recognition") != True:
+            if conf().get("group_speech_recognition") != True:
                 return
             logger.debug("[WX]receive voice for group msg: {}".format(cmsg.content))
         elif cmsg.ctype == ContextType.IMAGE:

channel/wechatcom/README.md

@@ -1,6 +1,6 @@
 # 企业微信应用号channel
 
-企业微信官方提供了客服、应用等API，本channel使用的是企业微信的应用API的能力。
+企业微信官方提供了客服、应用等API，本channel使用的是企业微信的自建应用API的能力。
 
 因为未来可能还会开发客服能力，所以本channel的类型名叫作`wechatcom_app`。
 
@@ -72,13 +72,11 @@ Error code: 60020, message: "not allow to access from your ip, ...from ip: xx.xx
 
 意思是IP不可信，需要参考上一步的`企业可信IP`配置，把这里的IP加进去。
 
-### Railway部署方式
+~~### Railway部署方式~~（2023-06-08已失效）
 
-公众号不能在`Railway`上部署，但企业微信应用[可以](https://railway.app/template/-FHS--?referralCode=RC3znh)!
+~~公众号不能在`Railway`上部署，但企业微信应用[可以](https://railway.app/template/-FHS--?referralCode=RC3znh)!~~
 
-[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/-FHS--?referralCode=RC3znh)
-
-填写配置后，将部署完成后的网址```**.railway.app/wxcomapp```，填写在上一步的URL中。发送信息后观察日志，把报错的IP加入到可信IP。（每次重启后都需要加入可信IP）
+~~填写配置后，将部署完成后的网址```**.railway.app/wxcomapp```，填写在上一步的URL中。发送信息后观察日志，把报错的IP加入到可信IP。（每次重启后都需要加入可信IP）~~
 
 ## 测试体验
 

common/const.py

@@ -3,5 +3,6 @@ OPEN_AI = "openAI"
 CHATGPT = "chatGPT"
 BAIDU = "baidu"
 CHATGPTONAZURE = "chatGPTOnAzure"
+LINKAI = "linkai"
 
 VERSION = "1.3.0"

config-template.json

@@ -2,6 +2,7 @@
   "open_ai_api_key": "YOUR API KEY",
   "model": "gpt-3.5-turbo",
   "proxy": "",
+  "hot_reload": false,
   "single_chat_prefix": [
     "bot",
     "@bot"
@@ -28,5 +29,8 @@
   "conversation_max_tokens": 1000,
   "expires_in_seconds": 3600,
   "character_desc": "你是ChatGPT, 一个由OpenAI训练的大型语言模型, 你旨在回答并解决人们的任何问题，并且可以使用多种语言与人交流。",
-  "subscribe_msg": "感谢您的关注！\n这里是ChatGPT，可以自由对话。\n支持语音对话。\n支持图片输入。\n支持图片输出，画字开头的消息将按要求创作图片。\n支持tool、角色扮演和文字冒险等丰富的插件。\n输入{trigger_prefix}#help 查看详细指令。"
+  "subscribe_msg": "感谢您的关注！\n这里是ChatGPT，可以自由对话。\n支持语音对话。\n支持图片输入。\n支持图片输出，画字开头的消息将按要求创作图片。\n支持tool、角色扮演和文字冒险等丰富的插件。\n输入{trigger_prefix}#help 查看详细指令。",
+  "use_linkai": false,
+  "linkai_api_key": "",
+  "linkai_app_code": ""
 }

config.py

@@ -22,8 +22,10 @@ available_setting = {
     # Bot触发配置
     "single_chat_prefix": ["bot", "@bot"],  # 私聊时文本需要包含该前缀才能触发机器人回复
     "single_chat_reply_prefix": "[bot] ",  # 私聊时自动回复的前缀，用于区分真人
-    "group_chat_prefix": ["@bot"],  # 群聊时包含该前缀则会触发机器人回复
+    "single_chat_reply_suffix": "",  # 私聊时自动回复的后缀，\n 可以换行    
+    "group_chat_prefix": ["@bot"],  # 群聊时包含该前缀则会触发机器人回复 
     "group_chat_reply_prefix": "",  # 群聊时自动回复的前缀
+    "group_chat_reply_suffix": "",  # 群聊时自动回复的后缀，\n 可以换行
     "group_chat_keyword": [],  # 群聊时包含该关键词则会触发机器人回复
     "group_at_off": False,  # 是否关闭群聊时@bot的触发
     "group_name_white_list": ["ChatGPT测试群", "ChatGPT测试群2"],  # 开启自动回复的群名称列表
@@ -35,7 +37,8 @@ available_setting = {
     "image_create_size": "256x256",  # 图片大小,可选有 256x256, 512x512, 1024x1024
     # chatgpt会话参数
     "expires_in_seconds": 3600,  # 无操作会话的过期时间
-    "character_desc": "你是ChatGPT, 一个由OpenAI训练的大型语言模型, 你旨在回答并解决人们的任何问题，并且可以使用多种语言与人交流。",  # 人格描述
+    # 人格描述
+    "character_desc": "你是ChatGPT, 一个由OpenAI训练的大型语言模型, 你旨在回答并解决人们的任何问题，并且可以使用多种语言与人交流。",
     "conversation_max_tokens": 1000,  # 支持上下文记忆的最多字符数
     # chatgpt限流配置
     "rate_limit_chatgpt": 20,  # chatgpt的调用频率限制
@@ -99,6 +102,10 @@ available_setting = {
     "appdata_dir": "",  # 数据目录
     # 插件配置
     "plugin_trigger_prefix": "$",  # 规范插件提供聊天相关指令的前缀，建议不要和管理员指令前缀"#"冲突
+    # 知识库平台配置
+    "use_linkai": False,
+    "linkai_api_key": "",
+    "linkai_app_code": ""
 }
 
 
@@ -222,3 +229,26 @@ def subscribe_msg():
     trigger_prefix = conf().get("single_chat_prefix", [""])[0]
     msg = conf().get("subscribe_msg", "")
     return msg.format(trigger_prefix=trigger_prefix)
+
+
+# global plugin config
+plugin_config = {}
+
+
+def write_plugin_config(pconf: dict):
+    """
+    写入插件全局配置
+    :param pconf: 全量插件配置
+    """
+    global plugin_config
+    for k in pconf:
+        plugin_config[k.lower()] = pconf[k]
+
+
+def pconf(plugin_name: str) -> dict:
+    """
+    根据插件名称获取配置
+    :param plugin_name: 插件名称
+    :return: 该插件的配置项
+    """
+    return plugin_config.get(plugin_name.lower())

docker/Dockerfile.alpine

@@ -1,39 +0,0 @@
-FROM python:3.10-alpine
-
-LABEL maintainer="foo@bar.com"
-ARG TZ='Asia/Shanghai'
-
-ARG CHATGPT_ON_WECHAT_VER
-
-ENV BUILD_PREFIX=/app
-
-RUN apk add --no-cache \
-        bash \
-        curl \
-        wget \
-    && export BUILD_GITHUB_TAG=${CHATGPT_ON_WECHAT_VER:-`curl -sL "https://api.github.com/repos/zhayujie/chatgpt-on-wechat/releases/latest" | \
-        grep '"tag_name":' | \
-        sed -E 's/.*"([^"]+)".*/\1/'`} \
-    && wget -t 3 -T 30 -nv -O chatgpt-on-wechat-${BUILD_GITHUB_TAG}.tar.gz \
-            https://github.com/zhayujie/chatgpt-on-wechat/archive/refs/tags/${BUILD_GITHUB_TAG}.tar.gz \
-    && tar -xzf chatgpt-on-wechat-${BUILD_GITHUB_TAG}.tar.gz \
-    && mv chatgpt-on-wechat-${BUILD_GITHUB_TAG} ${BUILD_PREFIX} \
-    && rm chatgpt-on-wechat-${BUILD_GITHUB_TAG}.tar.gz \
-    && cd ${BUILD_PREFIX} \
-    && cp config-template.json ${BUILD_PREFIX}/config.json \
-    && /usr/local/bin/python -m pip install --no-cache --upgrade pip \
-    && pip install --no-cache -r requirements.txt --extra-index-url https://alpine-wheels.github.io/index\
-    && pip install --no-cache -r requirements-optional.txt --extra-index-url https://alpine-wheels.github.io/index\
-    && apk del curl wget
-
-WORKDIR ${BUILD_PREFIX}
-
-ADD ./entrypoint.sh /entrypoint.sh
-
-RUN chmod +x /entrypoint.sh \
-    && adduser -D -h /home/noroot -u 1000 -s /bin/bash noroot \
-    && chown -R noroot:noroot ${BUILD_PREFIX}
-
-USER noroot
-
-ENTRYPOINT ["/entrypoint.sh"]

docker/Dockerfile.alpine.latest

@@ -1,29 +0,0 @@
-FROM python:3.10-alpine
-
-LABEL maintainer="foo@bar.com"
-ARG TZ='Asia/Shanghai'
-
-ARG CHATGPT_ON_WECHAT_VER
-
-ENV BUILD_PREFIX=/app
-
-ADD . ${BUILD_PREFIX}
-
-RUN apk add --no-cache bash ffmpeg espeak \
-    && cd ${BUILD_PREFIX} \
-    && cp config-template.json config.json \
-    && /usr/local/bin/python -m pip install --no-cache --upgrade pip \
-    && pip install --no-cache -r requirements.txt --extra-index-url https://alpine-wheels.github.io/index\
-    && pip install --no-cache -r requirements-optional.txt --extra-index-url https://alpine-wheels.github.io/index
-
-WORKDIR ${BUILD_PREFIX}
-
-ADD docker/entrypoint.sh /entrypoint.sh
-
-RUN chmod +x /entrypoint.sh \
-    && adduser -D -h /home/noroot -u 1000 -s /bin/bash noroot \
-    && chown -R noroot:noroot ${BUILD_PREFIX}
-
-USER noroot
-
-ENTRYPOINT ["/entrypoint.sh"]

docker/Dockerfile.debian

@@ -1,41 +0,0 @@
-FROM python:3.10
-
-LABEL maintainer="foo@bar.com"
-ARG TZ='Asia/Shanghai'
-
-ARG CHATGPT_ON_WECHAT_VER
-
-ENV BUILD_PREFIX=/app
-
-RUN apt-get update  \
-    && apt-get install -y --no-install-recommends \
-        wget \
-        curl  \
-    && rm -rf /var/lib/apt/lists/* \
-    && export BUILD_GITHUB_TAG=${CHATGPT_ON_WECHAT_VER:-`curl -sL "https://api.github.com/repos/zhayujie/chatgpt-on-wechat/releases/latest" | \
-        grep '"tag_name":' | \
-        sed -E 's/.*"([^"]+)".*/\1/'`} \
-    && wget -t 3 -T 30 -nv -O chatgpt-on-wechat-${BUILD_GITHUB_TAG}.tar.gz \
-            https://github.com/zhayujie/chatgpt-on-wechat/archive/refs/tags/${BUILD_GITHUB_TAG}.tar.gz \
-    && tar -xzf chatgpt-on-wechat-${BUILD_GITHUB_TAG}.tar.gz \
-    && mv chatgpt-on-wechat-${BUILD_GITHUB_TAG} ${BUILD_PREFIX} \
-    && rm chatgpt-on-wechat-${BUILD_GITHUB_TAG}.tar.gz \
-    && cd ${BUILD_PREFIX} \
-    && cp config-template.json ${BUILD_PREFIX}/config.json \
-    && /usr/local/bin/python -m pip install --no-cache --upgrade pip \
-    && pip install --no-cache -r requirements.txt \
-    && pip install --no-cache -r requirements-optional.txt
-
-WORKDIR ${BUILD_PREFIX}
-
-ADD ./entrypoint.sh /entrypoint.sh
-
-RUN chmod +x /entrypoint.sh \
-    && mkdir -p /home/noroot \
-    && groupadd -r noroot \
-    && useradd -r -g noroot -s /bin/bash -d /home/noroot noroot \
-    && chown -R noroot:noroot /home/noroot ${BUILD_PREFIX}
-
-USER noroot
-
-ENTRYPOINT ["/entrypoint.sh"]

docker/Dockerfile.latest

@@ -6,7 +6,7 @@ ARG TZ='Asia/Shanghai'
 ARG CHATGPT_ON_WECHAT_VER
 
 RUN echo /etc/apt/sources.list
-RUN sed -i 's/deb.debian.org/mirrors.tuna.tsinghua.edu.cn/g' /etc/apt/sources.list
+# RUN sed -i 's/deb.debian.org/mirrors.tuna.tsinghua.edu.cn/g' /etc/apt/sources.list
 ENV BUILD_PREFIX=/app
 
 ADD . ${BUILD_PREFIX}
@@ -28,8 +28,8 @@ RUN chmod +x /entrypoint.sh \
     && mkdir -p /home/noroot \
     && groupadd -r noroot \
     && useradd -r -g noroot -s /bin/bash -d /home/noroot noroot \
-    && chown -R noroot:noroot /home/noroot ${BUILD_PREFIX}
+    && chown -R noroot:noroot /home/noroot ${BUILD_PREFIX} /usr/local/lib
 
 USER noroot
 
-ENTRYPOINT ["/entrypoint.sh"]
+ENTRYPOINT ["/entrypoint.sh"]

docker/build.alpine.sh

@@ -1,15 +0,0 @@
-#!/bin/bash
-
-# fetch latest release tag
-CHATGPT_ON_WECHAT_TAG=`curl -sL "https://api.github.com/repos/zhayujie/chatgpt-on-wechat/releases/latest" | \
-     grep '"tag_name":' | \
-     sed -E 's/.*"([^"]+)".*/\1/'`
-
-# build image
-docker build -f Dockerfile.alpine \
-             --build-arg CHATGPT_ON_WECHAT_VER=$CHATGPT_ON_WECHAT_TAG \
-             -t zhayujie/chatgpt-on-wechat .
-
-# tag image
-docker tag zhayujie/chatgpt-on-wechat zhayujie/chatgpt-on-wechat:alpine
-docker tag zhayujie/chatgpt-on-wechat zhayujie/chatgpt-on-wechat:$CHATGPT_ON_WECHAT_TAG-alpine

docker/build.debian.sh

@@ -1,15 +0,0 @@
-#!/bin/bash
-
-# fetch latest release tag
-CHATGPT_ON_WECHAT_TAG=`curl -sL "https://api.github.com/repos/zhayujie/chatgpt-on-wechat/releases/latest" | \
-     grep '"tag_name":' | \
-     sed -E 's/.*"([^"]+)".*/\1/'`
-
-# build image
-docker build -f Dockerfile.debian \
-             --build-arg CHATGPT_ON_WECHAT_VER=$CHATGPT_ON_WECHAT_TAG \
-             -t zhayujie/chatgpt-on-wechat .
-
-# tag image
-docker tag zhayujie/chatgpt-on-wechat zhayujie/chatgpt-on-wechat:debian
-docker tag zhayujie/chatgpt-on-wechat zhayujie/chatgpt-on-wechat:$CHATGPT_ON_WECHAT_TAG-debian

docker/chatgpt-on-wechat-voice-reply/Dockerfile.alpine

@@ -1,23 +0,0 @@
-FROM zhayujie/chatgpt-on-wechat:alpine
-
-LABEL maintainer="foo@bar.com"
-ARG TZ='Asia/Shanghai'
-
-USER root
-
-RUN apk add --no-cache \
-        ffmpeg  \
-        espeak \
-    && pip install --no-cache \
-        baidu-aip \
-        chardet \
-        SpeechRecognition
-
-# replace entrypoint
-ADD ./entrypoint.sh /entrypoint.sh
-
-RUN chmod +x /entrypoint.sh
-
-USER noroot
-
-ENTRYPOINT ["/entrypoint.sh"]

docker/chatgpt-on-wechat-voice-reply/Dockerfile.debian

@@ -1,24 +0,0 @@
-FROM zhayujie/chatgpt-on-wechat:debian
-
-LABEL maintainer="foo@bar.com"
-ARG TZ='Asia/Shanghai'
-
-USER root
-
-RUN apt-get update  \
-    && apt-get install -y --no-install-recommends \
-        ffmpeg \
-        espeak  \
-    && pip install --no-cache \
-        baidu-aip \
-        chardet \
-        SpeechRecognition
-
-# replace entrypoint
-ADD ./entrypoint.sh /entrypoint.sh
-
-RUN chmod +x /entrypoint.sh
-
-USER noroot
-
-ENTRYPOINT ["/entrypoint.sh"]

docker/chatgpt-on-wechat-voice-reply/docker-compose.yaml

@@ -1,24 +0,0 @@
-version: '2.0'
-services:
-  chatgpt-on-wechat:
-    build:
-      context: ./
-      dockerfile: Dockerfile.alpine
-    image: zhayujie/chatgpt-on-wechat-voice-reply
-    container_name: chatgpt-on-wechat-voice-reply
-    environment:
-      OPEN_AI_API_KEY: 'YOUR API KEY'
-      OPEN_AI_PROXY: ''
-      SINGLE_CHAT_PREFIX: '["bot", "@bot"]'
-      SINGLE_CHAT_REPLY_PREFIX: '"[bot] "'
-      GROUP_CHAT_PREFIX: '["@bot"]'
-      GROUP_NAME_WHITE_LIST: '["ChatGPT测试群", "ChatGPT测试群2"]'
-      IMAGE_CREATE_PREFIX: '["画", "看", "找"]'
-      CONVERSATION_MAX_TOKENS: 1000
-      SPEECH_RECOGNITION: 'true'
-      CHARACTER_DESC: '你是ChatGPT, 一个由OpenAI训练的大型语言模型, 你旨在回答并解决人们的任何问题，并且可以使用多种语言与人交流。'
-      EXPIRES_IN_SECONDS: 3600
-      VOICE_REPLY_VOICE: 'true'
-      BAIDU_APP_ID: 'YOUR BAIDU APP ID'
-      BAIDU_API_KEY: 'YOUR BAIDU API KEY'
-      BAIDU_SECRET_KEY: 'YOUR BAIDU SERVICE KEY'

docker/chatgpt-on-wechat-voice-reply/entrypoint.sh

@@ -1,117 +0,0 @@
-#!/bin/bash
-set -e
-
-# build prefix
-CHATGPT_ON_WECHAT_PREFIX=${CHATGPT_ON_WECHAT_PREFIX:-""}
-# path to config.json
-CHATGPT_ON_WECHAT_CONFIG_PATH=${CHATGPT_ON_WECHAT_CONFIG_PATH:-""}
-# execution command line
-CHATGPT_ON_WECHAT_EXEC=${CHATGPT_ON_WECHAT_EXEC:-""}
-
-OPEN_AI_API_KEY=${OPEN_AI_API_KEY:-""}
-OPEN_AI_PROXY=${OPEN_AI_PROXY:-""}
-SINGLE_CHAT_PREFIX=${SINGLE_CHAT_PREFIX:-""}
-SINGLE_CHAT_REPLY_PREFIX=${SINGLE_CHAT_REPLY_PREFIX:-""}
-GROUP_CHAT_PREFIX=${GROUP_CHAT_PREFIX:-""}
-GROUP_NAME_WHITE_LIST=${GROUP_NAME_WHITE_LIST:-""}
-IMAGE_CREATE_PREFIX=${IMAGE_CREATE_PREFIX:-""}
-CONVERSATION_MAX_TOKENS=${CONVERSATION_MAX_TOKENS:-""}
-SPEECH_RECOGNITION=${SPEECH_RECOGNITION:-""}
-CHARACTER_DESC=${CHARACTER_DESC:-""}
-EXPIRES_IN_SECONDS=${EXPIRES_IN_SECONDS:-""}
-
-VOICE_REPLY_VOICE=${VOICE_REPLY_VOICE:-""}
-BAIDU_APP_ID=${BAIDU_APP_ID:-""}
-BAIDU_API_KEY=${BAIDU_API_KEY:-""}
-BAIDU_SECRET_KEY=${BAIDU_SECRET_KEY:-""}
-
-# CHATGPT_ON_WECHAT_PREFIX is empty, use /app
-if [ "$CHATGPT_ON_WECHAT_PREFIX" == "" ] ; then
-    CHATGPT_ON_WECHAT_PREFIX=/app
-fi
-
-# CHATGPT_ON_WECHAT_CONFIG_PATH is empty, use '/app/config.json'
-if [ "$CHATGPT_ON_WECHAT_CONFIG_PATH" == "" ] ; then
-    CHATGPT_ON_WECHAT_CONFIG_PATH=$CHATGPT_ON_WECHAT_PREFIX/config.json
-fi
-
-# CHATGPT_ON_WECHAT_EXEC is empty, use ‘python app.py’
-if [ "$CHATGPT_ON_WECHAT_EXEC" == "" ] ; then
-    CHATGPT_ON_WECHAT_EXEC="python app.py"
-fi
-
-# modify content in config.json
-if [ "$OPEN_AI_API_KEY" != "" ] ; then
-    sed -i "s/\"open_ai_api_key\".*,$/\"open_ai_api_key\": \"$OPEN_AI_API_KEY\",/" $CHATGPT_ON_WECHAT_CONFIG_PATH
-else
-    echo -e "\033[31m[Warning] You need to set OPEN_AI_API_KEY before running!\033[0m"
-fi
-
-# use http_proxy as default
-if [ "$HTTP_PROXY" != "" ] ; then
-    sed -i "s/\"proxy\".*,$/\"proxy\": \"$HTTP_PROXY\",/" $CHATGPT_ON_WECHAT_CONFIG_PATH
-fi
-
-if [ "$OPEN_AI_PROXY" != "" ] ; then
-    sed -i "s/\"proxy\".*,$/\"proxy\": \"$OPEN_AI_PROXY\",/" $CHATGPT_ON_WECHAT_CONFIG_PATH
-fi
-
-if [ "$SINGLE_CHAT_PREFIX" != "" ] ; then
-    sed -i "s/\"single_chat_prefix\".*,$/\"single_chat_prefix\": $SINGLE_CHAT_PREFIX,/" $CHATGPT_ON_WECHAT_CONFIG_PATH
-fi
-
-if [ "$SINGLE_CHAT_REPLY_PREFIX" != "" ] ; then
-    sed -i "s/\"single_chat_reply_prefix\".*,$/\"single_chat_reply_prefix\": $SINGLE_CHAT_REPLY_PREFIX,/" $CHATGPT_ON_WECHAT_CONFIG_PATH
-fi
-
-if [ "$GROUP_CHAT_PREFIX" != "" ] ; then
-    sed -i "s/\"group_chat_prefix\".*,$/\"group_chat_prefix\": $GROUP_CHAT_PREFIX,/" $CHATGPT_ON_WECHAT_CONFIG_PATH
-fi
-
-if [ "$GROUP_NAME_WHITE_LIST" != "" ] ; then
-    sed -i "s/\"group_name_white_list\".*,$/\"group_name_white_list\": $GROUP_NAME_WHITE_LIST,/" $CHATGPT_ON_WECHAT_CONFIG_PATH
-fi
-
-if [ "$IMAGE_CREATE_PREFIX" != "" ] ; then
-    sed -i "s/\"image_create_prefix\".*,$/\"image_create_prefix\": $IMAGE_CREATE_PREFIX,/" $CHATGPT_ON_WECHAT_CONFIG_PATH
-fi
-
-if [ "$CONVERSATION_MAX_TOKENS" != "" ] ; then
-    sed -i "s/\"conversation_max_tokens\".*,$/\"conversation_max_tokens\": $CONVERSATION_MAX_TOKENS,/" $CHATGPT_ON_WECHAT_CONFIG_PATH
-fi
-
-if [ "$SPEECH_RECOGNITION" != "" ] ; then
-    sed -i "s/\"speech_recognition\".*,$/\"speech_recognition\": $SPEECH_RECOGNITION,/" $CHATGPT_ON_WECHAT_CONFIG_PATH
-fi
-
-if [ "$CHARACTER_DESC" != "" ] ; then
-    sed -i "s/\"character_desc\".*,$/\"character_desc\": \"$CHARACTER_DESC\",/" $CHATGPT_ON_WECHAT_CONFIG_PATH
-fi
-
-if [ "$EXPIRES_IN_SECONDS" != "" ] ; then
-    sed -i "s/\"expires_in_seconds\".*$/\"expires_in_seconds\": $EXPIRES_IN_SECONDS/" $CHATGPT_ON_WECHAT_CONFIG_PATH
-fi
-
-# append
-if [ "$BAIDU_SECRET_KEY" != "" ] ; then
-    sed -i "1a \ \ \"baidu_secret_key\": \"$BAIDU_SECRET_KEY\"," $CHATGPT_ON_WECHAT_CONFIG_PATH
-fi
-
-if [ "$BAIDU_API_KEY" != "" ] ; then
-    sed -i "1a \ \ \"baidu_api_key\": \"$BAIDU_API_KEY\"," $CHATGPT_ON_WECHAT_CONFIG_PATH
-fi
-
-if [ "$BAIDU_APP_ID" != "" ] ; then
-    sed -i "1a \ \ \"baidu_app_id\": \"$BAIDU_APP_ID\"," $CHATGPT_ON_WECHAT_CONFIG_PATH
-fi
-
-if [ "$VOICE_REPLY_VOICE" != "" ] ; then
-    sed -i "1a \ \ \"voice_reply_voice\": $VOICE_REPLY_VOICE," $CHATGPT_ON_WECHAT_CONFIG_PATH
-fi
-
-# go to prefix dir
-cd $CHATGPT_ON_WECHAT_PREFIX
-# excute
-$CHATGPT_ON_WECHAT_EXEC
-
-

docker/docker-compose.yml

@@ -1,20 +1,23 @@
 version: '2.0'
 services:
   chatgpt-on-wechat:
-    build:
-      context: ./
-      dockerfile: Dockerfile.alpine
     image: zhayujie/chatgpt-on-wechat
-    container_name: sample-chatgpt-on-wechat
+    container_name: chatgpt-on-wechat
+    security_opt:
+      - seccomp:unconfined
     environment:
       OPEN_AI_API_KEY: 'YOUR API KEY'
-      OPEN_AI_PROXY: ''
+      MODEL: 'gpt-3.5-turbo'
+      PROXY: ''
       SINGLE_CHAT_PREFIX: '["bot", "@bot"]'
       SINGLE_CHAT_REPLY_PREFIX: '"[bot] "'
       GROUP_CHAT_PREFIX: '["@bot"]'
       GROUP_NAME_WHITE_LIST: '["ChatGPT测试群", "ChatGPT测试群2"]'
       IMAGE_CREATE_PREFIX: '["画", "看", "找"]'
       CONVERSATION_MAX_TOKENS: 1000
-      SPEECH_RECOGNITION: "False"
+      SPEECH_RECOGNITION: 'False'
       CHARACTER_DESC: '你是ChatGPT, 一个由OpenAI训练的大型语言模型, 你旨在回答并解决人们的任何问题，并且可以使用多种语言与人交流。'
-      EXPIRES_IN_SECONDS: 3600
+      EXPIRES_IN_SECONDS: 3600
+      USE_LINKAI: 'False'
+      LINKAI_API_KEY: ''
+      LINKAI_APP_CODE: ''

docker/sample-chatgpt-on-wechat/.env

@@ -1,16 +0,0 @@
-OPEN_AI_API_KEY=YOUR API KEY
-OPEN_AI_PROXY=
-SINGLE_CHAT_PREFIX=["bot", "@bot"]
-SINGLE_CHAT_REPLY_PREFIX="[bot] "
-GROUP_CHAT_PREFIX=["@bot"]
-GROUP_NAME_WHITE_LIST=["ChatGPT测试群", "ChatGPT测试群2"]
-IMAGE_CREATE_PREFIX=["画", "看", "找"]
-CONVERSATION_MAX_TOKENS=1000
-SPEECH_RECOGNITION=false
-CHARACTER_DESC=你是ChatGPT, 一个由OpenAI训练的大型语言模型, 你旨在回答并解决人们的任何问题，并且可以使用多种语言与人交流。
-EXPIRES_IN_SECONDS=3600
-
-# Optional
-#CHATGPT_ON_WECHAT_PREFIX=/app
-#CHATGPT_ON_WECHAT_CONFIG_PATH=/app/config.json
-#CHATGPT_ON_WECHAT_EXEC=python app.py

docker/sample-chatgpt-on-wechat/Makefile

@@ -1,26 +0,0 @@
-IMG:=`cat Name`
-MOUNT:=
-PORT_MAP:=
-DOTENV:=.env
-CONTAINER_NAME:=sample-chatgpt-on-wechat
-
-echo:
-	echo $(IMG)
-
-run_d:
-	docker rm $(CONTAINER_NAME) || echo
-	docker run -dt  --name $(CONTAINER_NAME) $(PORT_MAP) \
-			--env-file=$(DOTENV) \
-			$(MOUNT) $(IMG)
-
-run_i:
-	docker rm $(CONTAINER_NAME) || echo
-	docker run -it  --name $(CONTAINER_NAME) $(PORT_MAP) \
-			--env-file=$(DOTENV) \
-			$(MOUNT) $(IMG)
-
-stop:
-	docker stop $(CONTAINER_NAME)
-
-rm:     stop
-	docker rm $(CONTAINER_NAME)

docker/sample-chatgpt-on-wechat/Name

@@ -1 +0,0 @@
-zhayujie/chatgpt-on-wechat

nixpacks.toml

@@ -1,7 +1,7 @@
-providers = ['python']
-
 [phases.setup]
 nixPkgs = ['python310']
-cmds = ['apt-get update','apt-get install -y --no-install-recommends ffmpeg espeak libavcodec-extra','python -m venv /opt/venv && . /opt/venv/bin/activate && pip install -r requirements-optional.txt']
+cmds = ['apt-get update','apt-get install -y --no-install-recommends ffmpeg espeak libavcodec-extra']
+[phases.install]
+cmds = ['python -m venv /opt/venv && . /opt/venv/bin/activate && pip install -r requirements.txt && pip install -r requirements-optional.txt']
 [start]
 cmd = "python ./app.py"

plugins/banwords/banwords.py

@@ -24,16 +24,17 @@ class Banwords(Plugin):
     def __init__(self):
         super().__init__()
         try:
+            # load config
+            conf = super().load_config()
             curdir = os.path.dirname(__file__)
-            config_path = os.path.join(curdir, "config.json")
-            conf = None
-            if not os.path.exists(config_path):
-                conf = {"action": "ignore"}
-                with open(config_path, "w") as f:
-                    json.dump(conf, f, indent=4)
-            else:
-                with open(config_path, "r") as f:
-                    conf = json.load(f)
+            if not conf:
+                # 配置不存在则写入默认配置
+                config_path = os.path.join(curdir, "config.json")
+                if not os.path.exists(config_path):
+                    conf = {"action": "ignore"}
+                    with open(config_path, "w") as f:
+                        json.dump(conf, f, indent=4)
+
             self.searchr = WordsSearch()
             self.action = conf["action"]
             banwords_path = os.path.join(curdir, "banwords.txt")

plugins/bdunit/bdunit.py

@@ -29,14 +29,9 @@ class BDunit(Plugin):
     def __init__(self):
         super().__init__()
         try:
-            curdir = os.path.dirname(__file__)
-            config_path = os.path.join(curdir, "config.json")
-            conf = None
-            if not os.path.exists(config_path):
+            conf = super().load_config()
+            if not conf:
                 raise Exception("config.json not found")
-            else:
-                with open(config_path, "r") as f:
-                    conf = json.load(f)
             self.service_id = conf["service_id"]
             self.api_key = conf["api_key"]
             self.secret_key = conf["secret_key"]

plugins/config.json.template

@@ -0,0 +1,24 @@
+{
+    "godcmd": {
+        "password": "",
+        "admin_users": []
+    },
+    "banwords": {
+        "action": "replace",
+        "reply_filter": true,
+        "reply_action": "ignore"
+    },
+    "tool": {
+        "tools": [
+            "python",
+            "url-get",
+            "terminal",
+            "meteo-weather"
+        ],
+        "kwargs": {
+            "top_k_results": 2,
+            "no_default": false,
+            "model_name": "gpt-3.5-turbo"
+        }
+    }
+}

plugins/dungeon/dungeon.py

@@ -64,7 +64,7 @@ class Dungeon(Plugin):
         if e_context["context"].type != ContextType.TEXT:
             return
         bottype = Bridge().get_bot_type("chat")
-        if bottype not in [const.OPEN_AI, const.CHATGPT, const.CHATGPTONAZURE]:
+        if bottype not in [const.OPEN_AI, const.CHATGPT, const.CHATGPTONAZURE, const.LINKAI]:
             return
         bot = Bridge().get_bot("chat")
         content = e_context["context"].content[:]

plugins/event.py

@@ -50,3 +50,6 @@ class EventContext:
 
     def is_pass(self):
         return self.action == EventAction.BREAK_PASS
+
+    def is_break(self):
+        return self.action == EventAction.BREAK or self.action == EventAction.BREAK_PASS

plugins/godcmd/godcmd.py

@@ -41,6 +41,18 @@ COMMANDS = {
         "alias": ["reset_openai_api_key"],
         "desc": "重置为默认的api_key",
     },
+    "set_gpt_model": {
+        "alias": ["set_gpt_model"],
+        "desc": "设置你的私有模型",
+    },
+    "reset_gpt_model": {
+        "alias": ["reset_gpt_model"],
+        "desc": "重置你的私有模型",
+    },
+    "gpt_model": {
+        "alias": ["gpt_model"],
+        "desc": "查询你使用的模型",
+    },
     "id": {
         "alias": ["id", "用户"],
         "desc": "获取用户id",  # wechaty和wechatmp的用户id不会变化，可用于绑定管理员
@@ -166,16 +178,13 @@ class Godcmd(Plugin):
     def __init__(self):
         super().__init__()
 
-        curdir = os.path.dirname(__file__)
-        config_path = os.path.join(curdir, "config.json")
-        gconf = None
-        if not os.path.exists(config_path):
-            gconf = {"password": "", "admin_users": []}
-            with open(config_path, "w") as f:
-                json.dump(gconf, f, indent=4)
-        else:
-            with open(config_path, "r") as f:
-                gconf = json.load(f)
+        config_path = os.path.join(os.path.dirname(__file__), "config.json")
+        gconf = super().load_config()
+        if not gconf:
+            if not os.path.exists(config_path):
+                gconf = {"password": "", "admin_users": []}
+                with open(config_path, "w") as f:
+                    json.dump(gconf, f, indent=4)
         if gconf["password"] == "":
             self.temp_password = "".join(random.sample(string.digits, 4))
             logger.info("[Godcmd] 因未设置口令，本次的临时口令为%s。" % self.temp_password)
@@ -264,8 +273,28 @@ class Godcmd(Plugin):
                         ok, result = True, "你的OpenAI私有api_key已清除"
                     except Exception as e:
                         ok, result = False, "你没有设置私有api_key"
+                elif cmd == "set_gpt_model":
+                    if len(args) == 1:
+                        user_data = conf().get_user_data(user)
+                        user_data["gpt_model"] = args[0]
+                        ok, result = True, "你的GPT模型已设置为" + args[0]
+                    else:
+                        ok, result = False, "请提供一个GPT模型"
+                elif cmd == "gpt_model":
+                    user_data = conf().get_user_data(user)
+                    model = conf().get("model")
+                    if "gpt_model" in user_data:
+                        model = user_data["gpt_model"]
+                    ok, result = True, "你的GPT模型为" + str(model)
+                elif cmd == "reset_gpt_model":
+                    try:
+                        user_data = conf().get_user_data(user)
+                        user_data.pop("gpt_model")
+                        ok, result = True, "你的GPT模型已重置"
+                    except Exception as e:
+                        ok, result = False, "你没有设置私有GPT模型"
                 elif cmd == "reset":
-                    if bottype in [const.OPEN_AI, const.CHATGPT, const.CHATGPTONAZURE]:
+                    if bottype in [const.OPEN_AI, const.CHATGPT, const.CHATGPTONAZURE, const.LINKAI]:
                         bot.sessions.clear_session(session_id)
                         channel.cancel_session(session_id)
                         ok, result = True, "会话已重置"
@@ -288,7 +317,7 @@ class Godcmd(Plugin):
                             load_config()
                             ok, result = True, "配置已重载"
                         elif cmd == "resetall":
-                            if bottype in [const.OPEN_AI, const.CHATGPT, const.CHATGPTONAZURE]:
+                            if bottype in [const.OPEN_AI, const.CHATGPT, const.CHATGPTONAZURE, const.LINKAI]:
                                 channel.cancel_all_session()
                                 bot.sessions.clear_all_session()
                                 ok, result = True, "重置所有会话成功"

plugins/hello/hello.py

@@ -34,14 +34,14 @@ class Hello(Plugin):
             e_context["context"].type = ContextType.TEXT
             msg: ChatMessage = e_context["context"]["msg"]
             e_context["context"].content = f'请你随机使用一种风格说一句问候语来欢迎新用户"{msg.actual_user_nickname}"加入群聊。'
-            e_context.action = EventAction.CONTINUE  # 事件继续，交付给下个插件或默认逻辑
+            e_context.action = EventAction.BREAK  # 事件结束，进入默认处理逻辑
             return
 
         if e_context["context"].type == ContextType.PATPAT:
             e_context["context"].type = ContextType.TEXT
             msg: ChatMessage = e_context["context"]["msg"]
             e_context["context"].content = f"请你随机使用一种风格介绍你自己，并告诉用户输入#help可以查看帮助信息。"
-            e_context.action = EventAction.CONTINUE  # 事件继续，交付给下个插件或默认逻辑
+            e_context.action = EventAction.BREAK  # 事件结束，进入默认处理逻辑
             return
 
         content = e_context["context"].content

plugins/plugin.py

@@ -1,6 +1,28 @@
+import os
+import json
+from config import pconf
+from common.log import logger
+
+
 class Plugin:
     def __init__(self):
         self.handlers = {}
 
+    def load_config(self) -> dict:
+        """
+        加载当前插件配置
+        :return: 插件配置字典
+        """
+        # 优先获取 plugins/config.json 中的全局配置
+        plugin_conf = pconf(self.name)
+        if not plugin_conf:
+            # 全局配置不存在，则获取插件目录下的配置
+            plugin_config_path = os.path.join(self.path, "config.json")
+            if os.path.exists(plugin_config_path):
+                with open(plugin_config_path, "r") as f:
+                    plugin_conf = json.load(f)
+        logger.debug(f"loading plugin config, plugin_name={self.name}, conf={plugin_conf}")
+        return plugin_conf
+
     def get_help_text(self, **kwargs):
         return "暂无帮助信息"

plugins/plugin_manager.py

@@ -9,7 +9,7 @@ import sys
 from common.log import logger
 from common.singleton import singleton
 from common.sorted_dict import SortedDict
-from config import conf
+from config import conf, write_plugin_config
 
 from .event import *
 
@@ -62,6 +62,28 @@ class PluginManager:
             self.save_config()
         return pconf
 
+    @staticmethod
+    def _load_all_config():
+        """
+        背景: 目前插件配置存放于每个插件目录的config.json下，docker运行时不方便进行映射，故增加统一管理的入口，优先
+        加载 plugins/config.json，原插件目录下的config.json 不受影响
+
+        从 plugins/config.json 中加载所有插件的配置并写入 config.py 的全局配置中，供插件中使用
+        插件实例中通过 config.pconf(plugin_name) 即可获取该插件的配置
+        """
+        all_config_path = "./plugins/config.json"
+        try:
+            if os.path.exists(all_config_path):
+                # read from all plugins config
+                with open(all_config_path, "r", encoding="utf-8") as f:
+                    all_conf = json.load(f)
+                    logger.info(f"load all config from plugins/config.json: {all_conf}")
+
+                # write to global config
+                write_plugin_config(all_conf)
+        except Exception as e:
+            logger.error(e)
+
     def scan_plugins(self):
         logger.info("Scaning plugins ...")
         plugins_dir = "./plugins"
@@ -88,7 +110,7 @@ class PluginManager:
                             self.loaded[plugin_path] = importlib.import_module(import_path)
                         self.current_plugin_path = None
                     except Exception as e:
-                        logger.exception("Failed to import plugin %s: %s" % (plugin_name, e))
+                        logger.warn("Failed to import plugin %s: %s" % (plugin_name, e))
                         continue
         pconf = self.pconf
         news = [self.plugins[name] for name in self.plugins]
@@ -123,7 +145,7 @@ class PluginManager:
                     try:
                         instance = plugincls()
                     except Exception as e:
-                        logger.exception("Failed to init %s, diabled. %s" % (name, e))
+                        logger.warn("Failed to init %s, diabled. %s" % (name, e))
                         self.disable_plugin(name)
                         failed_plugins.append(name)
                         continue
@@ -149,6 +171,8 @@ class PluginManager:
     def load_plugins(self):
         self.load_config()
         self.scan_plugins()
+        # 加载全量插件配置
+        self._load_all_config()
         pconf = self.pconf
         logger.debug("plugins.json config={}".format(pconf))
         for name, plugin in pconf["plugins"].items():
@@ -163,6 +187,9 @@ class PluginManager:
                     logger.debug("Plugin %s triggered by event %s" % (name, e_context.event))
                     instance = self.instances[name]
                     instance.handlers[e_context.event](e_context, *args, **kwargs)
+                    if e_context.is_break():
+                        e_context["breaked_by"] = name
+                        logger.debug("Plugin %s breaked event %s" % (name, e_context.event))
         return e_context
 
     def set_plugin_priority(self, name: str, priority: int):

plugins/role/role.py

@@ -99,7 +99,7 @@ class Role(Plugin):
         if e_context["context"].type != ContextType.TEXT:
             return
         btype = Bridge().get_bot_type("chat")
-        if btype not in [const.OPEN_AI, const.CHATGPT, const.CHATGPTONAZURE]:
+        if btype not in [const.OPEN_AI, const.CHATGPT, const.CHATGPTONAZURE, const.LINKAI]:
             return
         bot = Bridge().get_bot("chat")
         content = e_context["context"].content[:]

plugins/source.json

@@ -11,6 +11,10 @@
     "summary": {
       "url": "https://github.com/lanvent/plugin_summary.git",
       "desc": "总结聊天记录的插件"
+    },
+    "timetask": {
+      "url": "https://github.com/haikerapples/timetask.git",
+      "desc": "一款定时任务系统的插件"
     }
   }
 }

plugins/tool/README.md

@@ -57,6 +57,8 @@ $tool reset: 重置工具。
 
 ### 6. news 新闻类工具集合
 
+> news更新：0.4版本对新闻类工具做了整合，配置文件只要加入`news`一个工具名就会自动加载所有新闻类工具
+
 #### 6.1. news-api *
 ###### 从全球 80,000 多个信息源中获取当前和历史新闻文章
 
@@ -75,7 +77,7 @@ $tool reset: 重置工具。
 
 > 该工具需要解决browser tool 的google-chrome依赖安装
 
-> news更新：0.4版本对news工具做了整合，只要加入news一个工具就会自动加载所有新闻类工具
+
 
 ### 7. bing-search *
 ###### bing搜索引擎，从此你不用再烦恼搜索要用哪些关键词
@@ -112,24 +114,25 @@ $tool reset: 重置工具。
 ---
 
 ###### 注1：带*工具需要获取api-key才能使用(在config.json内的kwargs添加项)，部分工具需要外网支持  
-#### [申请方法](https://github.com/goldfishh/chatgpt-tool-hub/blob/master/docs/apply_optional_tool.md)
+## [工具的api申请方法](https://github.com/goldfishh/chatgpt-tool-hub/blob/master/docs/apply_optional_tool.md)
 
 ## config.json 配置说明
-###### 默认工具无需配置，其它工具需手动配置，一个例子：
+###### 默认工具无需配置，其它工具需手动配置，以增加morning-news和bing-search两个工具为例：
 ```json
 {
-  "tools": ["wikipedia", "你想要添加的其他工具"],  // 填入你想用到的额外工具名
+  "tools": ["bing-search", "news", "你想要添加的其他工具"],  // 填入你想用到的额外工具名，这里加入了工具"bing-search"和工具"news"(news工具会自动加载morning-news、finance-news等子工具)
   "kwargs": {
       "debug": true, // 当你遇到问题求助时，需要配置
       "request_timeout": 120,  // openai接口超时时间
       "no_default": false,  // 是否不使用默认的4个工具
-      // 带*工具需要申请api-key，在这里填入，api_name参考前述`申请方法`
+      "bing_subscription_key": "4871f273a4804743",//带*工具需要申请api-key，这里填入了工具bing-search对应的api，api_name参考前述`工具的api申请方法`
+      "morning_news_api_key": "5w1kjNh9VQlUc",// 这里填入了morning-news对应的api，
   }
 }
 
 ```
 注：config.json文件非必须，未创建仍可使用本tool；带*工具需在kwargs填入对应api-key键值对  
-- `tools`：本插件初始化时加载的工具, 上述标题即是对应工具名称，带*工具必须在kwargs中配置相应api-key
+- `tools`：本插件初始化时加载的工具, 上述一级标题即是对应工具名称，带*工具必须在kwargs中配置相应api-key
 - `kwargs`：工具执行时的配置，一般在这里存放**api-key**，或环境配置
   - `debug`: 输出chatgpt-tool-hub额外信息用于调试
   - `request_timeout`: 访问openai接口的超时时间，默认与wechat-on-chatgpt配置一致，可单独配置

plugins/tool/tool.py

@@ -10,7 +10,6 @@ from bridge.bridge import Bridge
 from bridge.context import ContextType
 from bridge.reply import Reply, ReplyType
 from common import const
-from common.log import logger
 from config import conf
 from plugins import *
 
@@ -55,6 +54,7 @@ class Tool(Plugin):
             const.CHATGPT,
             const.OPEN_AI,
             const.CHATGPTONAZURE,
+            const.LINKAI,
         ):
             return
 
@@ -118,15 +118,8 @@ class Tool(Plugin):
         return
 
     def _read_json(self) -> dict:
-        curdir = os.path.dirname(__file__)
-        config_path = os.path.join(curdir, "config.json")
-        tool_config = {"tools": [], "kwargs": {}}
-        if not os.path.exists(config_path):
-            return tool_config
-        else:
-            with open(config_path, "r") as f:
-                tool_config = json.load(f)
-        return tool_config
+        default_config = {"tools": [], "kwargs": {}}
+        return super().load_config() or default_config
 
     def _build_tool_kwargs(self, kwargs: dict):
         tool_model_name = kwargs.get("model_name")
@@ -136,6 +129,7 @@ class Tool(Plugin):
             "debug": kwargs.get("debug", False),
             "openai_api_key": conf().get("open_ai_api_key", ""),
             "open_ai_api_base": conf().get("open_ai_api_base", "https://api.openai.com/v1"),
+            "deployment_id": conf().get("azure_deployment_id", ""),
             "proxy": conf().get("proxy", ""),
             "request_timeout": request_timeout if request_timeout else conf().get("request_timeout", 120),
             # note: 目前tool暂未对其他模型测试，但这里仍对配置来源做了优先级区分，一般插件配置可覆盖全局配置

requirements-optional.txt

@@ -25,4 +25,4 @@ wechatpy
 # chatgpt-tool-hub plugin
 
 --extra-index-url https://pypi.python.org/simple
-chatgpt_tool_hub==0.4.3
+chatgpt_tool_hub==0.4.6

requirements.txt

@@ -1,8 +1,8 @@
-openai==0.27.2
+openai>=0.27.8
 HTMLParser>=0.0.2
 PyQRCode>=1.2.1
 qrcode>=7.4.2
 requests>=2.28.2
 chardet>=5.1.0
 Pillow
-pre-commit
+pre-commit

translate/baidu/baidu_translate.py

@@ -17,13 +17,15 @@ class BaiduTranslator(Translator):
         self.url = endpoint + path
         self.appid = conf().get("baidu_translate_app_id")
         self.appkey = conf().get("baidu_translate_app_key")
+        if not self.appid or not self.appkey:
+            raise Exception("baidu translate appid or appkey not set")
 
     # For list of language codes, please refer to `https://api.fanyi.baidu.com/doc/21`, need to convert to ISO 639-1 codes
     def translate(self, query: str, from_lang: str = "", to_lang: str = "en") -> str:
         if not from_lang:
             from_lang = "auto"  # baidu suppport auto detect
         salt = random.randint(32768, 65536)
-        sign = self.make_md5(self.appid + query + str(salt) + self.appkey)
+        sign = self.make_md5("{}{}{}{}".format(self.appid, query, salt, self.appkey))
         headers = {"Content-Type": "application/x-www-form-urlencoded"}
         payload = {"appid": self.appid, "q": query, "from": from_lang, "to": to_lang, "salt": salt, "sign": sign}
 

voice/audio_convert.py

@@ -1,7 +1,13 @@
 import shutil
 import wave
 
-import pysilk
+from common.log import logger
+
+try:
+    import pysilk
+except ImportError:
+    logger.warn("import pysilk failed, wechaty voice message will not be supported.")
+
 from pydub import AudioSegment
 
 sil_supports = [8000, 12000, 16000, 24000, 32000, 44100, 48000]  # slk转wav时，支持的采样率

voice/baidu/baidu_voice.py

@@ -43,9 +43,9 @@ class BaiduVoice(Voice):
                 with open(config_path, "r") as fr:
                     bconf = json.load(fr)
 
-            self.app_id = conf().get("baidu_app_id")
-            self.api_key = conf().get("baidu_api_key")
-            self.secret_key = conf().get("baidu_secret_key")
+            self.app_id = str(conf().get("baidu_app_id"))
+            self.api_key = str(conf().get("baidu_api_key"))
+            self.secret_key = str(conf().get("baidu_secret_key"))
             self.dev_id = conf().get("baidu_dev_pid")
             self.lang = bconf["lang"]
             self.ctp = bconf["ctp"]