perf: 优化版本识别逻辑

[Feature] 使用语义化版本进行更新

.gitignore

@@ -3,10 +3,12 @@ config.py
 __pycache__/
 database.db
 qchatgpt.log
-config.py
 /banlist.py
 plugins/
 !plugins/__init__.py
 /revcfg.py
 prompts/
 logs/
+sensitive.json
+temp/
+current_tag

CONTRIBUTING.md

@@ -0,0 +1,19 @@
+## 参与项目
+
+欢迎为此项目贡献代码或其他支持，以使您的点子或众人期待的功能成为现实，助力社区成长。  
+
+### 贡献形式
+
+- 提交PR，解决issues中提到的bug或期待的功能
+- 提交PR，实现您设想的功能（请先提出issue与作者沟通）
+- 优化代码架构，使各个模块的组织更加整洁优雅
+- 在issues中提出发现的bug或者期待的功能
+- 为本项目在其他社交平台撰写文章、制作视频等
+- 为本项目的衍生项目作出贡献，或开发插件增加功能
+
+### 如何开始
+
+- 加入本项目交流群，一同探讨项目相关事务
+- 解决本项目或衍生项目的issues中亟待解决的问题
+- 阅读并完善本项目文档
+- 在各个社交媒体撰写本项目教程等

README.md

@@ -1,24 +1,45 @@
 # QChatGPT🤖
+> 2023/3/3  官方接口疑似被墙，可考虑使用网络代理 [#198](https://github.com/RockChinQ/QChatGPT/issues/198)  
 > 2023/3/3  现已在主线支持官方ChatGPT接口，使用方法查看[#195](https://github.com/RockChinQ/QChatGPT/issues/195)  
 > 2023/3/2  OpenAI已发布ChatGPT官方接口，我们正在全力接入，预计明日前完成，请查看[此PR](https://github.com/RockChinQ/QChatGPT/pull/194)  
 > 2023/2/16 现已支持接入ChatGPT网页版，详情请完成部署并查看底部**插件**小节或[此仓库](https://github.com/RockChinQ/revLibs)
 
 - 到[项目Wiki](https://github.com/RockChinQ/QChatGPT/wiki)可了解项目详细信息
 - 由bilibili TheLazy制作的[视频教程](https://www.bilibili.com/video/BV15v4y1X7aP)
-- 交流、答疑群: ~~204785790~~（已满）、691226829 
+- 交流、答疑群: ~~204785790~~（已满）、691226829、656285629  
-  - **进群提问前请您`确保`已经找遍文档和issue均无法解决**  
-  - **进群提问前请您`确保`已经找遍文档和issue均无法解决**  
   - **进群提问前请您`确保`已经找遍文档和issue均无法解决**  
 - QQ频道机器人见[QQChannelChatGPT](https://github.com/Soulter/QQChannelChatGPT)
 
 通过调用OpenAI的ChatGPT等语言模型来实现一个更加智能的QQ机器人  
 
+## 🍺模型适配一览
+
+### 文字对话
+
+- OpenAI GPT-3.5模型(ChatGPT API), 本项目原生支持, 默认使用
+- OpenAI GPT-3模型, 本项目原生支持, 部署完成后前往config.py切换
+- ChatGPT网页版逆向API, 由[插件](https://github.com/RockChinQ/revLibs)接入
+
+### 故事续写
+
+- NovelAI API, 由[插件](https://github.com/dominoar/QCPNovelAi)接入
+
+### 图片绘制
+
+- OpenAI DALL·E模型, 本项目原生支持, 使用方法查看[Wiki功能使用页](https://github.com/RockChinQ/QChatGPT/wiki/%E5%8A%9F%E8%83%BD%E4%BD%BF%E7%94%A8#%E5%8A%9F%E8%83%BD%E7%82%B9%E5%88%97%E4%B8%BE)
+- NovelAI API, 由[插件](https://github.com/dominoar/QCPNovelAi)接入
+
+### 语音生成
+
+- TTS+VITS, 由[插件](https://github.com/dominoar/QChatPlugins)接入
+
 ## ✅功能
 
 <details>
 <summary>✅支持敏感词过滤，避免账号风险</summary>
 
   - 难以监测机器人与用户对话时的内容，故引入此功能以减少机器人风险
+  - 加入了百度云内容审核，在`config.py`中修改`baidu_check`的值，并填写`baidu_api_key`和`baidu_secret_key`以开启此功能
   - 编辑`sensitive.json`，并在`config.py`中修改`sensitive_word_filter`的值以开启此功能
 </details>
 
@@ -71,6 +92,12 @@
   - 详见Wiki`加入黑名单`节
 </details>
 <details>
+<summary>✅长消息处理策略</summary>
+
+  - 支持将长消息转换成图片或消息记录组件，避免消息刷屏
+  - 请查看`config.py`中`blob_message_strategy`等字段
+</details>
+<details>
 <summary>✅回复速度限制</summary>
 
   - 支持限制单会话内每分钟可进行的对话次数
@@ -118,9 +145,6 @@
 <summary>手动部署适用于所有平台</summary>
 
 - 请使用Python 3.9.x以上版本   
-- 请注意OpenAI账号额度消耗  
-  - 每个账户仅有18美元免费额度，如未绑定银行卡，则会在超出时报错  
-  - OpenAI收费标准：默认使用的`text-davinci-003`模型 0.02美元/千字  
 
 #### 配置Mirai
 
@@ -163,7 +187,7 @@ python3 main.py
 
 **常见问题**
 
-- mirai登录提示`QQ版本过低`，见[此issue](https://github.com/RockChinQ/QChatGPT/issues/38)
+- mirai登录提示`QQ版本过低`，见[此issue](https://github.com/RockChinQ/QChatGPT/issues/137)
 - 如提示安装`uvicorn`或`hypercorn`请*不要*安装，这两个不是必需的，目前存在未知原因bug
 - 如报错`TypeError: As of 3.10, the *loop* parameter was removed from Lock() since it is no longer necessary`, 请参考 [此处](https://github.com/RockChinQ/QChatGPT/issues/5)
 

config-template.py

@@ -20,6 +20,7 @@ mirai_http_api_config = {
 
 # [必需] OpenAI的配置
 # api_key: OpenAI的API Key
+# http_proxy: 请求OpenAI时使用的代理，None为不使用，https和socks5暂不能使用
 # 若只有一个api-key，请直接修改以下内容中的"openai_api_key"为你的api-key
 #
 # 如准备了多个api-key，可以以字典的形式填写，程序会自动选择可用的api-key
@@ -30,11 +31,13 @@ mirai_http_api_config = {
 #         "key1": "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
 #         "key2": "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
 #     },
+#     "http_proxy": "http://127.0.0.1:12345"
 # }
 openai_config = {
     "api_key": {
         "default": "openai_api_key"
     },
+    "http_proxy": None
 }
 
 # [必需] 管理员QQ号，用于接收报错等通知及执行管理员级别指令
@@ -99,10 +102,27 @@ ignore_rules = {
     "regexp": []
 }
 
+# 是否检查收到的消息中是否包含敏感词
+# 若收到的消息无法通过下方指定的敏感词检查策略，则发送提示信息
+income_msg_check = False
+
 # 敏感词过滤开关，以同样数量的*代替敏感词回复
 # 请在sensitive.json中添加敏感词
 sensitive_word_filter = True
 
+# 是否启用百度云内容安全审核
+# 注册方式查看 https://cloud.baidu.com/doc/ANTIPORN/s/Wkhu9d5iy
+baidu_check = False
+
+# 百度云API_KEY 24位英文数字字符串
+baidu_api_key = ""
+
+# 百度云SECRET_KEY 32位的英文数字字符串
+baidu_secret_key = ""
+
+# 不合规消息自定义返回
+inappropriate_message_tips = "[百度云]请珍惜机器人，当前返回内容不合规"
+
 # 启动时是否发送赞赏码
 # 仅当使用量已经超过2048字时发送
 encourage_sponsor_at_start = True
@@ -130,7 +150,7 @@ prompt_submit_length = 1024
 completion_api_params = {
     "model": "gpt-3.5-turbo",
     "temperature": 0.9,  # 数值越低得到的回答越理性，取值范围[0, 1]
-    "max_tokens": 512,  # 每次获取OpenAI接口响应的文字量上限, 不高于4096
+    "max_tokens": 1024,  # 每次获取OpenAI接口响应的文字量上限, 不高于4096
     "top_p": 1,  # 生成的文本的文本与要求的符合度, 取值范围[0, 1]
     "frequency_penalty": 0.2,
     "presence_penalty": 1.0,
@@ -151,13 +171,18 @@ include_image_description = True
 # 消息处理的超时时间，单位为秒
 process_message_timeout = 30
 
-# [暂未实现] 群内会话是否启用多对象名称
-# 若不启用，群内会话的prompt只使用user_name和bot_name
-multi_subject = False
-
 # 回复消息时是否显示[GPT]前缀
 show_prefix = False
 
+# 应用长消息处理策略的阈值
+# 当回复消息长度超过此值时，将使用长消息处理策略
+blob_message_threshold = 256
+
+# 长消息处理策略
+# - "image": 将长消息转换为图片发送
+# - "forward": 将长消息转换为转发消息组件发送
+blob_message_strategy = "forward"
+
 # 消息处理超时重试次数
 retry_times = 3
 
@@ -191,6 +216,9 @@ rate_limit_strategy = "wait"
 # 若设置为空字符串，则不发送提示信息
 rate_limit_drop_tip = "本分钟对话次数超过限速次数，此对话被丢弃"
 
+# 是否在启动时进行依赖库更新
+upgrade_dependencies = True
+
 # 是否上报统计信息
 # 用于统计机器人的使用情况，不会收集任何用户信息
 # 仅上报时间、字数使用量、绘图使用量，其他信息不会上报

main.py

@@ -43,6 +43,11 @@ def init_db():
     database.initialize_database()
 
 
+def ensure_dependencies():
+    import pkg.utils.pkgmgr as pkgmgr
+    pkgmgr.run_pip(["install", "openai", "Pillow", "--upgrade"])
+
+
 known_exception_caught = False
 
 log_file_name = "qchatgpt.log"
@@ -102,11 +107,18 @@ def reset_logging():
 def main(first_time_init=False):
     global known_exception_caught
 
-    # 检查并创建plugins、prompts目录
+    import config
-    check_path = ["plugins", "prompts"]
+    # 更新openai库到最新版本
-    for path in check_path:
+    if not hasattr(config, 'upgrade_dependencies') or config.upgrade_dependencies:
-        if not os.path.exists(path):
+        print("正在更新依赖库，请等待...")
-            os.mkdir(path)
+        if not hasattr(config, 'upgrade_dependencies'):
+            print("这个操作不是必须的,如果不想更新,请在config.py中添加upgrade_dependencies=False")
+        else:
+            print("这个操作不是必须的,如果不想更新,请在config.py中将upgrade_dependencies设置为False")
+        try:
+            ensure_dependencies()
+        except Exception as e:
+            print("更新openai库失败:{}, 请忽略或自行更新".format(e))
 
     known_exception_caught = False
     try:
@@ -258,7 +270,7 @@ def main(first_time_init=False):
     import pkg.utils.updater
     try:
         if pkg.utils.updater.is_new_version_available():
-            pkg.utils.context.get_qqbot_manager().notify_admin("新版本可用，请发送 !update 进行自动更新")
+            pkg.utils.context.get_qqbot_manager().notify_admin("新版本可用，请发送 !update 进行自动更新\n更新日志:\n{}".format("\n".join(pkg.utils.updater.get_rls_notes())))
         else:
             logging.info("当前已是最新版本")
 
@@ -309,6 +321,20 @@ if __name__ == '__main__':
     if not os.path.exists('banlist.py'):
         shutil.copy('banlist-template.py', 'banlist.py')
 
+    # 检查是否有sensitive.json
+    if not os.path.exists("sensitive.json"):
+        shutil.copy("sensitive-template.json", "sensitive.json")
+
+    # 检查temp目录
+    if not os.path.exists("temp/"):
+        os.mkdir("temp/")
+
+    # 检查并创建plugins、prompts目录
+    check_path = ["plugins", "prompts"]
+    for path in check_path:
+        if not os.path.exists(path):
+            os.mkdir(path)
+
     if len(sys.argv) > 1 and sys.argv[1] == 'init_db':
         init_db()
         sys.exit(0)
@@ -333,4 +359,5 @@ if __name__ == '__main__':
     #
     # pkg.utils.configmgr.set_config_and_reload("quote_origin", False)
     requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
+
     main(True)

pkg/audit/gatherer.py

@@ -20,12 +20,12 @@ class DataGatherer:
         }
     }为值的字典"""
 
-    version_str = "0.1.0"
+    version_str = "undetermined"
 
     def __init__(self):
         self.load_from_db()
         try:
-            self.version_str = pkg.utils.updater.get_commit_id_and_time_and_msg()[:40 if len(pkg.utils.updater.get_commit_id_and_time_and_msg()) > 40 else len(pkg.utils.updater.get_commit_id_and_time_and_msg())]
+            self.version_str = pkg.utils.updater.get_current_tag()
         except:
             pass
 

pkg/openai/manager.py

@@ -36,7 +36,11 @@ class OpenAIInteract:
         config = pkg.utils.context.get_config()
 
         # 根据模型选择使用的接口
-        ai: ModelRequest = create_openai_model_request(config.completion_api_params['model'], 'user')
+        ai: ModelRequest = create_openai_model_request(
+            config.completion_api_params['model'], 
+            'user', 
+            config.openai_config["http_proxy"] if "http_proxy" in config.openai_config else None
+        )
         ai.request(
             prompts,
             **config.completion_api_params

pkg/openai/modelmgr.py

@@ -1,5 +1,5 @@
 # 提供与模型交互的抽象接口
-import openai, logging
+import openai, logging, threading, asyncio
 
 COMPLETION_MODELS = {
     'text-davinci-003',
@@ -26,28 +26,52 @@ IMAGE_MODELS = {
 
 
 class ModelRequest():
-    """模型请求抽象类"""
+    """GPT父类"""
     can_chat = False
+    runtime:threading.Thread = None
+    ret = ""
+    proxy:str = None
 
-    def __init__(self, model_name, user_name, request_fun):
+    def __init__(self, model_name, user_name, request_fun, http_proxy:str = None):
         self.model_name = model_name
         self.user_name = user_name
         self.request_fun = request_fun
+        if http_proxy != None:
+            self.proxy = http_proxy
+            openai.proxy = self.proxy
+
+    async def __a_request__(self, **kwargs):
+        self.ret = await self.request_fun(**kwargs)
 
     def request(self, **kwargs):
-        ret = self.request_fun(**kwargs)
+        if self.proxy != None: #异步请求
-        self.ret = self.ret_handle(ret)
+            loop = asyncio.new_event_loop()
-        self.message = self.ret["choices"][0]["message"]
+            self.runtime = threading.Thread(
+                target=loop.run_until_complete,
+                args=(self.__a_request__(**kwargs),)
+            )
+            self.runtime.start()
+        else: #同步请求
+            self.ret = self.request_fun(**kwargs)
 
     def __msg_handle__(self, msg):
         """将prompt dict转换成接口需要的格式"""
         return msg
     
     def ret_handle(self):
+        '''
+        API消息返回处理函数
+        若重写该方法，应检查异步线程状态，或在需要检查处super该方法
+        '''
+        if self.runtime != None and isinstance(self.runtime, threading.Thread):
+            self.runtime.join()
         return
 
     def get_total_tokens(self):
-        return self.ret['usage']['total_tokens']
+        try:
+            return self.ret['usage']['total_tokens']
+        except Exception:
+            return 0
 
     def get_message(self):
         return self.message
@@ -55,19 +79,22 @@ class ModelRequest():
     def get_response(self):
         return self.ret
 
-
 class ChatCompletionModel(ModelRequest):
-    """ChatCompletion接口实现"""
+    """ChatCompletion类模型"""
     Chat_role = ['system', 'user', 'assistant']
-    def __init__(self, model_name, user_name):
+    def __init__(self, model_name, user_name, http_proxy:str = None, **kwargs):
-        request_fun = openai.ChatCompletion.create
+        if http_proxy == None:
+            request_fun = openai.ChatCompletion.create
+        else:
+            request_fun = openai.ChatCompletion.acreate
         self.can_chat = True
-        super().__init__(model_name, user_name, request_fun)
+        super().__init__(model_name, user_name, request_fun, http_proxy, **kwargs)
 
     def request(self, prompts, **kwargs):
-        self.ret = self.request_fun(messages = self.__msg_handle__(prompts), **kwargs, user=self.user_name)
+        prompts = self.__msg_handle__(prompts)
+        kwargs['messages'] = prompts
+        super().request(**kwargs)
         self.ret_handle()
-        self.message = self.ret["choices"][0]["message"]['content']
 
     def __msg_handle__(self, msgs):
         temp_msgs = []
@@ -76,20 +103,24 @@ class ChatCompletionModel(ModelRequest):
             temp_msgs.append(msg.copy())
         return temp_msgs
 
-    def get_content(self):
+    def get_message(self):
-        return self.message
+        return self.ret["choices"][0]["message"]['content'] #需要时直接加载加快请求速度，降低内存消耗
 
 
 class CompletionModel(ModelRequest):
-    """Completion接口实现"""
+    """Completion类模型"""
-    def __init__(self, model_name, user_name):
+    def __init__(self, model_name, user_name, http_proxy:str = None, **kwargs):
-        request_fun = openai.Completion.create
+        if http_proxy == None:
-        super().__init__(model_name, user_name, request_fun)
+            request_fun = openai.Completion.create
+        else:
+            request_fun = openai.Completion.acreate
+        super().__init__(model_name, user_name, request_fun, http_proxy, **kwargs)
 
     def request(self, prompts, **kwargs):
-        self.ret = self.request_fun(prompt = self.__msg_handle__(prompts), **kwargs)
+        prompts = self.__msg_handle__(prompts)
+        kwargs['prompt'] = prompts
+        super().request(**kwargs)
         self.ret_handle()
-        self.message = self.ret["choices"][0]["text"]
 
     def __msg_handle__(self, msgs):
         prompt = ''
@@ -103,16 +134,16 @@ class CompletionModel(ModelRequest):
         prompt = prompt + "assistant: "
         return prompt
 
-    def get_text(self):
+    def get_message(self):
-        return self.message
+        return self.ret["choices"][0]["text"]
 
 
-def create_openai_model_request(model_name: str, user_name: str = 'user') -> ModelRequest:
+def create_openai_model_request(model_name: str, user_name: str = 'user', http_proxy:str = None) -> ModelRequest:
     """使用给定的模型名称创建模型请求对象"""
     if model_name in CHAT_COMPLETION_MODELS:
-        model = ChatCompletionModel(model_name, user_name)
+        model = ChatCompletionModel(model_name, user_name, http_proxy)
     elif model_name in COMPLETION_MODELS:
-        model = CompletionModel(model_name, user_name)
+        model = CompletionModel(model_name, user_name, http_proxy)
     else :
         log = "找不到模型[{}]，请检查配置文件".format(model_name)
         logging.error(log)

pkg/openai/session.py

@@ -228,16 +228,15 @@ class Session:
     def undo(self) -> str:
         self.last_interact_timestamp = int(time.time())
 
-        # 删除上一回合
+        # 删除最后两个消息
-        if self.prompt[-1]['role'] != 'user':
+        if len(self.prompt) < 2:
-            res = self.prompt[-1]['content']
+            raise Exception('之前无对话，无法撤销')
-            self.prompt.remove(self.prompt[-2])
+    
-        else:
+        question = self.prompt[-2]['content']
-            res = self.prompt[-2]['content']
+        self.prompt = self.prompt[:-2]
-        self.prompt.remove(self.prompt[-1])
         
         # 返回上一回合的问题
-        return res
+        return question
 
     # 构建对话体
     def cut_out(self, msg: str, max_tokens: int) -> list:

pkg/qqbot/banlist.py

@@ -1,30 +1,34 @@
 import pkg.utils.context
 
 
-def is_banned(launcher_type: str, launcher_id: int) -> bool:
+def is_banned(launcher_type: str, launcher_id: int, sender_id: int) -> bool:
     if not pkg.utils.context.get_qqbot_manager().enable_banlist:
         return False
     
     result = False
     
     if launcher_type == 'group':
-        for group_rule in pkg.utils.context.get_qqbot_manager().ban_group:
+        # 检查是否显式声明发起人QQ要被person忽略
-            if type(group_rule) == int:
+        if sender_id in pkg.utils.context.get_qqbot_manager().ban_person:
-                if group_rule == launcher_id: # 此群群号被禁用
+            result = True
-                    result = True
+        else:
-            elif type(group_rule) == str:
+            for group_rule in pkg.utils.context.get_qqbot_manager().ban_group:
-                if group_rule.startswith('!'):
+                if type(group_rule) == int:
-                    # 截取!后面的字符串作为表达式，判断是否匹配
+                    if group_rule == launcher_id:  # 此群群号被禁用
-                    reg_str = group_rule[1:]
-                    import re
-                    if re.match(reg_str, str(launcher_id)): # 被豁免，最高级别
-                        result = False
-                        break
-                else:
-                    # 判断是否匹配regexp
-                    import re
-                    if re.match(group_rule, str(launcher_id)): # 此群群号被禁用
                         result = True
+                elif type(group_rule) == str:
+                    if group_rule.startswith('!'):
+                        # 截取!后面的字符串作为表达式，判断是否匹配
+                        reg_str = group_rule[1:]
+                        import re
+                        if re.match(reg_str, str(launcher_id)):  # 被豁免，最高级别
+                            result = False
+                            break
+                    else:
+                        # 判断是否匹配regexp
+                        import re
+                        if re.match(group_rule, str(launcher_id)):  # 此群群号被禁用
+                            result = True
                     
     else:
         # ban_person, 与群规则相同

pkg/qqbot/blob.py

@@ -0,0 +1,105 @@
+# 长消息处理相关
+import logging
+import os
+import time
+import base64
+
+import config
+from mirai.models.message import MessageComponent, MessageChain, Image
+from mirai.models.message import ForwardMessageNode
+from mirai.models.base import MiraiBaseModel
+from typing import List
+import pkg.utils.context as context
+import pkg.utils.text2img as text2img
+
+
+class ForwardMessageDiaplay(MiraiBaseModel):
+    title: str = "群聊的聊天记录"
+    brief: str = "[聊天记录]"
+    source: str = "聊天记录"
+    preview: List[str] = []
+    summary: str = "查看x条转发消息"
+
+
+class Forward(MessageComponent):
+    """合并转发。"""
+    type: str = "Forward"
+    """消息组件类型。"""
+    display: ForwardMessageDiaplay
+    """显示信息"""
+    node_list: List[ForwardMessageNode]
+    """转发消息节点列表。"""
+    def __init__(self, *args, **kwargs):
+        if len(args) == 1:
+            self.node_list = args[0]
+            super().__init__(**kwargs)
+        super().__init__(*args, **kwargs)
+
+    def __str__(self):
+        return '[聊天记录]'
+
+
+def text_to_image(text: str) -> MessageComponent:
+    """将文本转换成图片"""
+    # 检查temp文件夹是否存在
+    if not os.path.exists('temp'):
+        os.mkdir('temp')
+    img_path = text2img.text_to_image(text_str=text, save_as='temp/{}.png'.format(int(time.time())))
+    
+    compressed_path, size = text2img.compress_image(img_path, outfile="temp/{}_compressed.png".format(int(time.time())))
+    # 读取图片，转换成base64
+    with open(compressed_path, 'rb') as f:
+        img = f.read()
+
+    b64 = base64.b64encode(img)
+
+    # 删除图片
+    os.remove(img_path)
+
+    # 判断compressed_path是否存在
+    if os.path.exists(compressed_path):
+        os.remove(compressed_path)
+    # 返回图片
+    return Image(base64=b64.decode('utf-8'))
+
+
+def check_text(text: str) -> list:
+    """检查文本是否为长消息，并转换成该使用的消息链组件"""
+    if not hasattr(config, 'blob_message_threshold'):
+        return [text]
+    
+    if len(text) > config.blob_message_threshold:
+        if not hasattr(config, 'blob_message_strategy'):
+            raise AttributeError('未定义长消息处理策略')
+
+        # logging.info("长消息: {}".format(text))
+        if config.blob_message_strategy == 'image':
+            # 转换成图片
+            return [text_to_image(text)]
+        elif config.blob_message_strategy == 'forward':
+            # 敏感词屏蔽
+            text = context.get_qqbot_manager().reply_filter.process(text)
+
+            # 包装转发消息
+            display = ForwardMessageDiaplay(
+                title='群聊的聊天记录',
+                brief='[聊天记录]',
+                source='聊天记录',
+                preview=["bot: "+text],
+                summary="查看1条转发消息"
+            )
+
+            node = ForwardMessageNode(
+                sender_id=config.mirai_http_api_config['qq'],
+                sender_name='bot',
+                message_chain=MessageChain([text])
+            )
+
+            forward = Forward(
+                display=display,
+                node_list=[node]
+            )
+
+            return [forward]
+    else:
+        return [text]

pkg/qqbot/filter.py

@@ -1,19 +1,77 @@
 # 敏感词过滤模块
 import re
+import requests
+import json
+import logging
 
 
 class ReplyFilter:
-
     sensitive_words = []
 
+    # 默认值( 兼容性考虑 )
+    baidu_check = False
+    baidu_api_key = ""
+    baidu_secret_key = ""
+    inappropriate_message_tips = "[百度云]请珍惜机器人，当前返回内容不合规"
+
     def __init__(self, sensitive_words: list):
         self.sensitive_words = sensitive_words
+        import config
+        if hasattr(config, 'baidu_check') and hasattr(config, 'baidu_api_key') and hasattr(config, 'baidu_secret_key'):
+            self.baidu_check = config.baidu_check
+            self.baidu_api_key = config.baidu_api_key
+            self.baidu_secret_key = config.baidu_secret_key
+            self.inappropriate_message_tips = config.inappropriate_message_tips
+
+    def is_illegal(self, message: str) -> bool:
+        processed = self.process(message)
+        if processed != message:
+            return True
+        return False
 
     def process(self, message: str) -> str:
+
+        # 本地关键词屏蔽
         for word in self.sensitive_words:
             match = re.findall(word, message)
             if len(match) > 0:
                 for i in range(len(match)):
                     message = message.replace(match[i], "*" * len(match[i]))
 
+        # 百度云审核
+        if self.baidu_check:
+
+            # 百度云审核URL
+            baidu_url = "https://aip.baidubce.com/rest/2.0/solution/v1/text_censor/v2/user_defined?access_token=" + \
+                str(requests.post("https://aip.baidubce.com/oauth/2.0/token", 
+                      params={"grant_type": "client_credentials", 
+                              "client_id": self.baidu_api_key,
+                              "client_secret": self.baidu_secret_key}).json().get("access_token"))
+
+            # 百度云审核
+            payload = "text=" + message
+            logging.info("向百度云发送:" + payload)
+            headers = {'Content-Type': 'application/x-www-form-urlencoded', 'Accept': 'application/json'}
+
+            if isinstance(payload, str):
+                payload = payload.encode('utf-8')
+
+            response = requests.request("POST", baidu_url, headers=headers, data=payload)
+            response_dict = json.loads(response.text)
+
+            if "error_code" in response_dict:
+                error_msg = response_dict.get("error_msg")
+                logging.warning(f"百度云判定出错，错误信息：{error_msg}")
+                conclusion = f"百度云判定出错，错误信息：{error_msg}\n以下是原消息：{message}"
+            else:
+                conclusion = response_dict["conclusion"]
+                if conclusion in ("合规"):
+                    logging.info(f"百度云判定结果：{conclusion}")
+                    return message
+                else:
+                    logging.warning(f"百度云判定结果：{conclusion}")
+                    conclusion = self.inappropriate_message_tips
+            # 返回百度云审核结果
+            return conclusion
+        
         return message

pkg/qqbot/message.py

@@ -7,6 +7,7 @@ import pkg.openai.session
 
 import pkg.plugin.host as plugin_host
 import pkg.plugin.models as plugin_models
+import pkg.qqbot.blob as blob
 
 
 def handle_exception(notify_admin: str = "", set_reply: str = "") -> list:
@@ -63,7 +64,7 @@ def process_normal_message(text_message: str, mgr, config, launcher_type: str,
                 reply = event.get_return_value("reply")
 
             if not event.is_prevented_default():
-                reply = [prefix + text]
+                reply = blob.check_text(prefix + text)
         except openai.error.APIConnectionError as e:
             err_msg = str(e)
             if err_msg.__contains__('Error communicating with OpenAI'):

pkg/qqbot/process.py

@@ -49,7 +49,7 @@ def process_message(launcher_type: str, launcher_id: int, text_message: str, mes
     session_name = "{}_{}".format(launcher_type, launcher_id)
 
     # 检查发送方是否被禁用
-    if banlist.is_banned(launcher_type, launcher_id):
+    if banlist.is_banned(launcher_type, launcher_id, sender_id):
         logging.info("根据禁用列表忽略{}_{}的消息".format(launcher_type, launcher_id))
         return []
 
@@ -66,6 +66,11 @@ def process_message(launcher_type: str, launcher_id: int, text_message: str, mes
                                                                                 result.mute_time_remaining))
             return reply
 
+    import config
+    if hasattr(config, 'income_msg_check') and config.income_msg_check:
+        if mgr.reply_filter.is_illegal(text_message):
+            return MessageChain(Plain("[bot] 你的提问中有不合适的内容, 请更换措辞~"))
+
     pkg.openai.session.get_session(session_name).acquire_response_lock()
 
     text_message = text_message.strip()
@@ -153,7 +158,7 @@ def process_message(launcher_type: str, launcher_id: int, text_message: str, mes
                                                      "..." if len(reply[0]) > 100 else "")))
                 reply = [mgr.reply_filter.process(reply[0])]
             else:
-                logging.info("回复[{}]图片消息:{}".format(session_name, reply))
+                logging.info("回复[{}]消息".format(session_name))
 
         finally:
             processing.remove(session_name)

pkg/utils/pkgmgr.py

@@ -8,6 +8,11 @@ def install(package):
     main.reset_logging()
 
 
+def run_pip(params: list):
+    pipmain(params)
+    main.reset_logging()
+
+
 def install_requirements(file):
     pipmain(['install', '-r', file, "--upgrade"])
     main.reset_logging()

pkg/utils/text2img.py

@@ -0,0 +1,164 @@
+from PIL import Image, ImageDraw, ImageFont
+import re
+import os
+
+text_render_font = ImageFont.truetype("res/simhei.ttf", 32, encoding="utf-8")
+
+
+def indexNumber(path=''):
+    """
+    查找字符串中数字所在串中的位置
+    :param path:目标字符串
+    :return:<class 'list'>: <class 'list'>: [['1', 16], ['2', 35], ['1', 51]]
+    """
+    kv = []
+    nums = []
+    beforeDatas = re.findall('[\d]+', path)
+    for num in beforeDatas:
+        indexV = []
+        times = path.count(num)
+        if times > 1:
+            if num not in nums:
+                indexs = re.finditer(num, path)
+                for index in indexs:
+                    iV = []
+                    i = index.span()[0]
+                    iV.append(num)
+                    iV.append(i)
+                    kv.append(iV)
+            nums.append(num)
+        else:
+            index = path.find(num)
+            indexV.append(num)
+            indexV.append(index)
+            kv.append(indexV)
+    # 根据数字位置排序
+    indexSort = []
+    resultIndex = []
+    for vi in kv:
+        indexSort.append(vi[1])
+    indexSort.sort()
+    for i in indexSort:
+        for v in kv:
+            if i == v[1]:
+                resultIndex.append(v)
+    return resultIndex
+
+
+def get_size(file):
+    # 获取文件大小:KB
+    size = os.path.getsize(file)
+    return size / 1024
+
+
+def get_outfile(infile, outfile):
+    if outfile:
+        return outfile
+    dir, suffix = os.path.splitext(infile)
+    outfile = '{}-out{}'.format(dir, suffix)
+    return outfile
+
+
+def compress_image(infile, outfile='', kb=100, step=20, quality=90):
+    """不改变图片尺寸压缩到指定大小
+    :param infile: 压缩源文件
+    :param outfile: 压缩文件保存地址
+    :param mb: 压缩目标,KB
+    :param step: 每次调整的压缩比率
+    :param quality: 初始压缩比率
+    :return: 压缩文件地址，压缩文件大小
+    """
+    o_size = get_size(infile)
+    if o_size <= kb:
+        return infile, o_size
+    outfile = get_outfile(infile, outfile)
+    while o_size > kb:
+        im = Image.open(infile)
+        im.save(outfile, quality=quality)
+        if quality - step < 0:
+            break
+        quality -= step
+        o_size = get_size(outfile)
+    return outfile, get_size(outfile)
+
+
+def text_to_image(text_str: str, save_as="temp.png", width=800):
+    global text_render_font
+
+    text_str = text_str.replace("\t", "    ")
+    
+    # 分行
+    lines = text_str.split('\n')
+
+    # 计算并分割
+    final_lines = []
+
+    text_width = width-80
+    for line in lines:
+        # 如果长了就分割
+        line_width = text_render_font.getlength(line)
+        if line_width < text_width:
+            final_lines.append(line)
+            continue
+        else:
+            rest_text = line
+            while True:
+                # 分割最前面的一行
+                point = int(len(rest_text) * (text_width / line_width))
+
+                # 检查断点是否在数字中间
+                numbers = indexNumber(rest_text)
+
+                for number in numbers:
+                    if number[1] < point < number[1] + len(number[0]) and number[1] != 0:
+                        point = number[1]
+                        break
+
+                final_lines.append(rest_text[:point])
+                rest_text = rest_text[point:]
+                line_width = text_render_font.getlength(rest_text)
+                if line_width < text_width:
+                    final_lines.append(rest_text)
+                    break
+                else:
+                    continue
+    # 准备画布
+    img = Image.new('RGBA', (width, max(280, len(final_lines) * 35 + 45)), (255, 255, 255, 255))
+    draw = ImageDraw.Draw(img, mode='RGBA')
+
+    
+    # 绘制正文
+    line_number = 0
+    offset_x = 20
+    offset_y = 30
+    for final_line in final_lines:
+        draw.text((offset_x, offset_y + 35 * line_number), final_line, fill=(0, 0, 0), font=text_render_font)
+        # 遍历此行,检查是否有emoji
+        idx_in_line = 0
+        for ch in final_line:
+            # if self.is_emoji(ch):
+            #     emoji_img_valid = ensure_emoji(hex(ord(ch))[2:])
+            #     if emoji_img_valid:  # emoji图像可用,绘制到指定位置
+            #         emoji_image = Image.open("emojis/{}.png".format(hex(ord(ch))[2:]), mode='r').convert('RGBA')
+            #         emoji_image = emoji_image.resize((32, 32))
+
+            #         x, y = emoji_image.size
+
+            #         final_emoji_img = Image.new('RGBA', emoji_image.size, (255, 255, 255))
+            #         final_emoji_img.paste(emoji_image, (0, 0, x, y), emoji_image)
+
+            #         img.paste(final_emoji_img, box=(int(offset_x + idx_in_line * 32), offset_y + 35 * line_number))
+
+            # 检查字符占位宽
+            char_code = ord(ch)
+            if char_code >= 127:
+                idx_in_line += 1
+            else:
+                idx_in_line += 0.5
+
+        line_number += 1
+
+    
+    img.save(save_as)
+
+    return save_as

pkg/utils/updater.py

@@ -1,6 +1,11 @@
 import datetime
+import logging
+import os.path
 
-import pkg.utils.context
+import requests
+import json
+
+import pkg.utils.constants
 
 
 def check_dulwich_closure():
@@ -28,34 +33,100 @@ def pull_latest(repo_path: str) -> bool:
     return True
 
 
+def get_release_list() -> list:
+    """获取发行列表"""
+    rls_list_resp = requests.get(
+        url="https://api.github.com/repos/RockChinQ/QChatGPT/releases"
+    )
+
+    rls_list = rls_list_resp.json()
+
+    return rls_list
+
+
+def get_current_tag() -> str:
+    """获取当前tag"""
+    current_tag = pkg.utils.constants.semantic_version
+    if os.path.exists("current_tag"):
+        with open("current_tag", "r") as f:
+            current_tag = f.read()
+
+    return current_tag
+
+
 def update_all() -> bool:
-    """使用dulwich更新源码"""
+    """检查更新并下载源码"""
-    check_dulwich_closure()
+    current_tag = get_current_tag()
-    import dulwich
-    try:
-        before_commit_id = get_current_commit_id()
-        from dulwich import porcelain
-        repo = porcelain.open_repo('.')
-        porcelain.pull(repo)
 
-        change_log = ""
+    rls_list = get_release_list()
 
-        for entry in repo.get_walker():
+    latest_rls = {}
-            if str(entry.commit.id)[2:-1] == before_commit_id:
+    rls_notes = []
-                break
+    for rls in rls_list:
-            tz = datetime.timezone(datetime.timedelta(hours=entry.commit.commit_timezone // 3600))
+        rls_notes.append(rls['name'])  # 使用发行名称作为note
-            dt = datetime.datetime.fromtimestamp(entry.commit.commit_time, tz)
+        if rls['tag_name'] == current_tag:
-            change_log += dt.strftime('%Y-%m-%d %H:%M:%S') + " [" + str(entry.commit.message, encoding="utf-8").strip()+"]\n"
+            break
 
-        if change_log != "":
+        if latest_rls == {}:
-            pkg.utils.context.get_qqbot_manager().notify_admin("代码拉取完成,更新内容如下:\n"+change_log)
+            latest_rls = rls
-            return True
+    logging.info("更新日志: {}".format(rls_notes))
-        else:
+    if latest_rls == {}:  # 没有新版本
-            return False
+        return False
-    except ModuleNotFoundError:
+
-        raise Exception("dulwich模块未安装,请查看 https://github.com/RockChinQ/QChatGPT/issues/77")
+    # 下载最新版本的zip到temp目录
-    except dulwich.porcelain.DivergedBranches:
+    logging.info("开始下载最新版本: {}".format(latest_rls['zipball_url']))
-        raise Exception("分支不一致,自动更新仅支持master分支,请手动更新(https://github.com/RockChinQ/QChatGPT/issues/76)")
+    zip_url = latest_rls['zipball_url']
+    zip_resp = requests.get(url=zip_url)
+    zip_data = zip_resp.content
+
+    # 检查temp/updater目录
+    if not os.path.exists("temp"):
+        os.mkdir("temp")
+    if not os.path.exists("temp/updater"):
+        os.mkdir("temp/updater")
+    with open("temp/updater/{}.zip".format(latest_rls['tag_name']), "wb") as f:
+        f.write(zip_data)
+
+    logging.info("下载最新版本完成: {}".format("temp/updater/{}.zip".format(latest_rls['tag_name'])))
+
+    # 解压zip到temp/updater/<tag_name>/
+    import zipfile
+    # 检查目标文件夹
+    if os.path.exists("temp/updater/{}".format(latest_rls['tag_name'])):
+        import shutil
+        shutil.rmtree("temp/updater/{}".format(latest_rls['tag_name']))
+    os.mkdir("temp/updater/{}".format(latest_rls['tag_name']))
+    with zipfile.ZipFile("temp/updater/{}.zip".format(latest_rls['tag_name']), 'r') as zip_ref:
+        zip_ref.extractall("temp/updater/{}".format(latest_rls['tag_name']))
+
+    # 覆盖源码
+    source_root = ""
+    # 找到temp/updater/<tag_name>/中的第一个子目录路径
+    for root, dirs, files in os.walk("temp/updater/{}".format(latest_rls['tag_name'])):
+        if root != "temp/updater/{}".format(latest_rls['tag_name']):
+            source_root = root
+            break
+
+    # 覆盖源码
+    import shutil
+    for root, dirs, files in os.walk(source_root):
+        # 覆盖所有子文件子目录
+        for file in files:
+            src = os.path.join(root, file)
+            dst = src.replace(source_root, ".")
+            if os.path.exists(dst):
+                os.remove(dst)
+            shutil.copy(src, dst)
+
+    # 把current_tag写入文件
+    current_tag = latest_rls['tag_name']
+    with open("current_tag", "w") as f:
+        f.write(current_tag)
+
+    # 通知管理员
+    import pkg.utils.context
+    pkg.utils.context.get_qqbot_manager().notify_admin("已更新到最新版本: {}\n更新日志:\n{}\n新功能通常可以在config-template.py中看到，完整的更新日志请前往 https://github.com/RockChinQ/QChatGPT/releases 查看".format(current_tag, "\n".join(rls_notes)))
+    return True
 
 
 def is_repo(path: str) -> bool:
@@ -132,15 +203,42 @@ def get_current_commit_id() -> str:
 
 def is_new_version_available() -> bool:
     """检查是否有新版本"""
-    check_dulwich_closure()
+    # 从github获取release列表
+    rls_list = get_release_list()
+    if rls_list is None:
+        return False
 
-    from dulwich import porcelain
+    # 获取当前版本
+    current_tag = get_current_tag()
 
-    repo = porcelain.open_repo('.')
+    # 检查是否有新版本
-    fetch_res = porcelain.ls_remote(porcelain.get_remote_repo(repo, "origin")[1])
+    for rls in rls_list:
+        if rls['tag_name'] == current_tag:
+            return False
+        else:
+            return True
 
-    current_commit_id = get_current_commit_id()
 
-    latest_commit_id = str(fetch_res[b'HEAD'])[2:-1]
+def get_rls_notes() -> list:
+    """获取更新日志"""
+    # 从github获取release列表
+    rls_list = get_release_list()
+    if rls_list is None:
+        return None
 
-    return current_commit_id != latest_commit_id
+    # 获取当前版本
+    current_tag = get_current_tag()
+
+    # 检查是否有新版本
+    rls_notes = []
+    for rls in rls_list:
+        if rls['tag_name'] == current_tag:
+            break
+
+        rls_notes.append(rls['name'])
+
+    return rls_notes
+
+
+if __name__ == "__main__":
+    update_all()

requirements.txt

@@ -1,9 +1,9 @@
 requests~=2.28.1
 openai~=0.27.0
-pip~=22.3.1
 dulwich~=0.21.3
 colorlog~=6.6.0
 yiri-mirai~=0.2.6.1
 websockets~=10.4
 urllib3~=1.26.10
 func_timeout~=4.3.5
+Pillow

sensitive-template.json

@@ -9,6 +9,7 @@
     "毛泽东",
     "邓小平",
     "周恩来",
+    "马克思",
     "社会主义",
     "共产党",
     "共产主义",
@@ -21,6 +22,8 @@
     "天安门",
     "六四",
     "政治局常委",
+    "两会",
+    "共青团",
     "学潮",
     "八九",
     "二十大",
@@ -48,6 +51,7 @@
     "作爱",
     "做爱",
     "性交",
+    "性爱",
     "自慰",
     "阴茎",
     "淫妇",