import requests import json import plugins from bridge.reply import Reply, ReplyType from bridge.context import ContextType from channel.chat_message import ChatMessage from plugins import * from common.log import logger from common.expired_dict import ExpiredDict import os import base64 from pathlib import Path from PIL import Image import oss2 @plugins.register( name="coze4upload", desire_priority=-1, desc="A plugin for upload", version="0.0.01", author="", ) class coze4upload(Plugin): def __init__(self): super().__init__() try: curdir = os.path.dirname(__file__) config_path = os.path.join(curdir, "config.json") if os.path.exists(config_path): with open(config_path, "r", encoding="utf-8") as f: self.config = json.load(f) else: # 使用父类的方法来加载配置 self.config = super().load_config() if not self.config: raise Exception("config.json not found") # 设置事件处理函数 self.handlers[Event.ON_HANDLE_CONTEXT] = self.on_handle_context self.params_cache = ExpiredDict(300) # 从配置中提取所需的设置 self.keys = self.config.get("keys", {}) self.url_sum = self.config.get("url_sum", {}) self.search_sum = self.config.get("search_sum", {}) self.file_sum = self.config.get("file_sum", {}) self.image_sum = self.config.get("image_sum", {}) self.note = self.config.get("note", {}) self.sum4all_key = self.keys.get("sum4all_key", "") self.search1api_key = self.keys.get("search1api_key", "") self.gemini_key = self.keys.get("gemini_key", "") self.bibigpt_key = self.keys.get("bibigpt_key", "") self.outputLanguage = self.keys.get("outputLanguage", "zh-CN") self.opensum_key = self.keys.get("opensum_key", "") self.open_ai_api_key = self.keys.get("open_ai_api_key", "") self.model = self.keys.get("model", "gpt-3.5-turbo") self.open_ai_api_base = self.keys.get("open_ai_api_base", "https://api.openai.com/v1") self.xunfei_app_id = self.keys.get("xunfei_app_id", "") self.xunfei_api_key = self.keys.get("xunfei_api_key", "") self.xunfei_api_secret = self.keys.get("xunfei_api_secret", "") self.perplexity_key = self.keys.get("perplexity_key", "") self.flomo_key = self.keys.get("flomo_key", "") # 之前提示 self.previous_prompt='' self.file_sum_enabled = self.file_sum.get("enabled", False) self.file_sum_service = self.file_sum.get("service", "") self.max_file_size = self.file_sum.get("max_file_size", 15000) self.file_sum_group = self.file_sum.get("group", True) self.file_sum_qa_prefix = self.file_sum.get("qa_prefix", "问") self.file_sum_prompt = self.file_sum.get("prompt", "") self.image_sum_enabled = self.image_sum.get("enabled", False) self.image_sum_service = self.image_sum.get("service", "") self.image_sum_group = self.image_sum.get("group", True) self.image_sum_qa_prefix = self.image_sum.get("qa_prefix", "问") self.image_sum_prompt = self.image_sum.get("prompt", "") # 初始化成功日志 logger.info("[file4upload] inited.") except Exception as e: # 初始化失败日志 logger.warn(f"file4upload init failed: {e}") def on_handle_context(self, e_context: EventContext): context = e_context["context"] if context.type not in [ContextType.TEXT, ContextType.SHARING,ContextType.FILE,ContextType.IMAGE]: return msg: ChatMessage = e_context["context"]["msg"] user_id = msg.from_user_id content = context.content isgroup = e_context["context"].get("isgroup", False) if isgroup and not self.file_sum_group: # 群聊中忽略处理文件 logger.info("群聊消息，文件处理功能已禁用") return logger.info("on_handle_context: 处理上下文开始") context.get("msg").prepare() api_key='sk-5z2L4zy9T1w90j6e3T90ANZdyN2zLWClRwFnBzWgzdrG4onx' logger.info(f'self.params_cache:{self.params_cache}') if user_id not in self.params_cache: self.params_cache[user_id] = {} if context.type == ContextType.TEXT and user_id in self.params_cache: self.params_cache[user_id]['previous_prompt']=msg.content # print(f'{msg.__dict__}') if context.type == ContextType.IMAGE: logger.info('处理图片') file_path = context.content logger.info(f"on_handle_context: 获取到图片路径 {file_path}") if user_id in self.params_cache: if 'previous_prompt' not in self.params_cache[user_id]: reply = Reply() reply.type = ReplyType.TEXT # reply.content = f"{remove_markdown(reply_content)}\n\n💬5min内输入{self.file_sum_qa_prefix}+问题，可继续追问" reply.content = f"您刚刚上传了一张图片，请问我有什么可以帮您的呢？" e_context["reply"] = reply e_context.action = EventAction.BREAK else: print(f'准备抽取文字') file_content=extract_content_by_llm(file_path,api_key) if file_content is None: logger.info('不能抽取文字,使用图片oss请求LLM') access_key_id = 'LTAI5tRTG6pLhTpKACJYoPR5' access_key_secret = 'E7dMzeeMxq4VQvLg7Tq7uKf3XWpYfN' # OSS区域对应的Endpoint endpoint = 'http://oss-cn-shanghai.aliyuncs.com' # 根据你的区域选择 # Bucket名称 bucket_name = 'cow-agent' local_file_path=file_path oss_file_name=f'cow/{os.path.basename(file_path)}' logger.info(f'oss_file_name:{oss_file_name}\n local_file_path :{local_file_path}') file_content = upload_oss(access_key_id, access_key_secret, endpoint, bucket_name, local_file_path, oss_file_name) logger.info(f'写入图片缓存oss 地址{file_content}') self.params_cache[user_id]['last_content']=file_content else: logger.warn(f'还没有建立会话') logger.info('删除图片') os.remove(file_path) if context.type== ContextType.FILE: logger.info('处理图片') file_path = context.content logger.info(f"on_handle_context: 获取到文件路径 {file_path}") if user_id in self.params_cache: if 'previous_prompt' not in self.params_cache[user_id]: reply = Reply() reply.type = ReplyType.TEXT # reply.content = f"{remove_markdown(reply_content)}\n\n💬5min内输入{self.file_sum_qa_prefix}+问题，可继续追问" reply.content = f"您刚刚上传了一份文件，请问我有什么可以帮您的呢？" e_context["reply"] = reply e_context.action = EventAction.BREAK else: print(f'准备抽取文字') file_content=extract_content_by_llm(file_path,api_key) if file_content is None: reply = Reply() reply.type = ReplyType.TEXT # reply.content = f"{remove_markdown(reply_content)}\n\n💬5min内输入{self.file_sum_qa_prefix}+问题，可继续追问" reply.content = f"不能处理这份文件" e_context["reply"] = reply e_context.action = EventAction.BREAK return else: self.params_cache[user_id]['last_content']=file_content logger.info('删除图片') os.remove(file_path) logger.info('previous_prompt' in self.params_cache[user_id]) logger.info('last_content' in self.params_cache[user_id]) if 'previous_prompt' in self.params_cache[user_id] and 'last_content' in self.params_cache[user_id] : e_context["context"].type = ContextType.TEXT e_context["context"].content = self.params_cache[user_id]['last_content']+'\n\t'+self.params_cache[user_id]['previous_prompt'] logger.info(f'conze4upload 插件处理上传文件或图片') e_context.action = EventAction.CONTINUE # 清空清空缓存 self.params_cache.clear() logger.info(f'清空缓存后：{self.params_cache}') # e_context.action = EventAction.BREAK def remove_markdown(text): # 替换Markdown的粗体标记 text = text.replace("**", "") # 替换Markdown的标题标记 text = text.replace("### ", "").replace("## ", "").replace("# ", "") return text def extract_content_by_llm(file_path: str, api_key: str) -> str: logger.info(f'大模型开始抽取文字') try: headers = { 'Authorization': f'Bearer {api_key}' } data = { 'purpose': 'file-extract', } file_name=os.path.basename(file_path) files = { 'file': (file_name, open(Path(file_path), 'rb')), } # print(files) api_url='https://api.moonshot.cn/v1/files' response = requests.post(api_url, headers=headers, files=files, data=data) response_data = response.json() file_id = response_data.get('id') response=requests.get(url=f"https://api.moonshot.cn/v1/files/{file_id}/content", headers=headers) print(response.text) response_data = response.json() content = response_data.get('content') return content except requests.exceptions.RequestException as e: logger.error(f"Error calling LLM API: {e}") return None def upload_oss(access_key_id, access_key_secret, endpoint, bucket_name, local_file_path, oss_file_name, expiration_days=7): """ 上传文件到阿里云OSS并设置生命周期规则，同时返回文件的公共访问地址。 :param access_key_id: 阿里云AccessKey ID :param access_key_secret: 阿里云AccessKey Secret :param endpoint: OSS区域对应的Endpoint :param bucket_name: OSS中的Bucket名称 :param local_file_path: 本地文件路径 :param oss_file_name: OSS中的文件存储路径 :param expiration_days: 文件保存天数，默认7天后删除 :return: 文件的公共访问地址 """ # 创建Bucket实例 auth = oss2.Auth(access_key_id, access_key_secret) bucket = oss2.Bucket(auth, endpoint, bucket_name) ### 1. 设置生命周期规则 ### rule_id = f'delete_after_{expiration_days}_days' # 规则ID prefix = oss_file_name.split('/')[0] + '/' # 设置规则应用的前缀为文件所在目录 # 定义生命周期规则 rule = oss2.models.LifecycleRule(rule_id, prefix, status=oss2.models.LifecycleRule.ENABLED, expiration=oss2.models.LifecycleExpiration(days=expiration_days)) # 设置Bucket的生命周期 lifecycle = oss2.models.BucketLifecycle([rule]) bucket.put_bucket_lifecycle(lifecycle) print(f"已设置生命周期规则：文件将在{expiration_days}天后自动删除") ### 2. 上传文件到OSS ### bucket.put_object_from_file(oss_file_name, local_file_path) ### 3. 构建公共访问URL ### file_url = f"http://{bucket_name}.{endpoint.replace('http://', '')}/{oss_file_name}" print(f"文件上传成功，公共访问地址：{file_url}") return file_url