ai-on-wechat/plugins/coze4upload/coze4upload2.txt

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'当前缓存：self.params_cache:{self.params_cache}') 
        if user_id not in self.params_cache:
            self.params_cache[user_id] = {}
            logger.info(f'初始化缓存:{self.params_cache}') 

        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}，{user_id in self.params_cache}")
            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])
        is_previous_prompt='previous_prompt' in self.params_cache[user_id]
        is_last_content='last_content' in self.params_cache[user_id]
        logger.info(f"存在提示词 previous_prompt:{is_previous_prompt}")
        logger.info(f'存在内容 last_content:{is_last_content}' )
        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