dify 插件化
This commit is contained in:
liuwei
7
plugins/dify/__init__.py
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7
plugins/dify/__init__.py
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# 从当前包的main模块导入DifyPlugin类
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from .main import DifyPlugin
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# 提供get_plugin函数，返回插件实例
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def get_plugin():
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"""获取插件实例"""
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return DifyPlugin()
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23
plugins/dify/config.toml
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23
plugins/dify/config.toml
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[Dify]
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enable = true
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api-key = "app-u5EnYq3ill19bm6pWJwGkY4D" # Dify的API Key
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base-url = "http://192.168.2.240/v1" #Dify API接口base url
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commands = ["ai", "dify", "聊天", "AI"]
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command-tip = """
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-----Bot-----
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💬AI聊天指令：
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聊天 请求内容
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"""
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price = 0 # 用一次扣积分，如果0则不扣
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# Http代理设置
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# 格式: http://用户名:密码@代理地址:代理端口
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# 例如：http://127.0.0.1:7890
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http-proxy = ""
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# 管理员和白名单用户是否免费使用
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admin_ignore = true
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whitelist_ignore = true
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345
plugins/dify/main.py
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345
plugins/dify/main.py
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import logging
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import os
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import requests
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import json
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import time
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from typing import Dict, Any, List, Optional, Tuple
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from wcferry import Wcf
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from plugin_common.message_plugin_interface import MessagePluginInterface
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from plugin_common.plugin_interface import PluginStatus
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from plugins.stats_collector.decorators import plugin_stats_decorator
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from robot_cmd.robot_command import Feature, PermissionStatus, GroupBotManager
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class DifyPlugin(MessagePluginInterface):
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"""Dify AI聊天插件"""
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@property
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def name(self) -> str:
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return "Dify聊天"
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@property
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def version(self) -> str:
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return "1.0.0"
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@property
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def description(self) -> str:
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return "提供基于Dify的AI聊天功能"
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@property
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def author(self) -> str:
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return "Trae AI"
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@property
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def command_prefix(self) -> Optional[str]:
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return "" # 不需要前缀，直接匹配命令
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@property
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def commands(self) -> List[str]:
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return self._commands
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def __init__(self):
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super().__init__()
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# 会话上下文管理，格式: {group_id/wxid: [conversation_history]}
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self.conversations: Dict[str, List[Dict]] = {}
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# tokens 消耗统计，格式: {wxid: total_tokens}
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self.token_usage: Dict[str, int] = {}
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# 最大上下文长度
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self.max_history_length = 10
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# 会话过期时间（秒）
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self.conversation_timeout = 3600 # 1小时
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self.last_activity: Dict[str, float] = {}
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def initialize(self, context: Dict[str, Any]) -> bool:
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"""初始化插件"""
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self.LOG = logging.getLogger(f"Plugin.{self.name}")
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self.LOG.info(f"正在初始化 {self.name} 插件...")
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# 保存上下文对象
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self.wcf = context.get("wcf")
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self.event_system = context.get("event_system")
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self.message_util = context.get("message_util")
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self.gbm = context.get("gbm")
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# 从配置中获取参数
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dify_config = self._config.get("Dify", {})
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self._commands = dify_config.get("commands", ["ai", "dify", "聊天", "AI"])
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self.command_format = dify_config.get("command-tip", "聊天 请求内容")
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self.enable = dify_config.get("enable", True)
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self.api_key = dify_config.get("api-key", "")
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self.base_url = dify_config.get("base-url", "")
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self.price = dify_config.get("price", 0)
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self.admin_ignore = dify_config.get("admin_ignore", False)
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self.whitelist_ignore = dify_config.get("whitelist_ignore", False)
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self.http_proxy = dify_config.get("http-proxy", "")
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self.LOG.info(f"[{self.name}] 插件初始化完成，指令：{self._commands}")
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return True
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def start(self) -> bool:
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"""启动插件"""
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self.LOG.info(f"[{self.name}] 插件已启动")
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self.status = PluginStatus.RUNNING
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return True
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def stop(self) -> bool:
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"""停止插件"""
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self.LOG.info(f"[{self.name}] 插件已停止")
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self.status = PluginStatus.STOPPED
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return True
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def can_process(self, message: Dict[str, Any]) -> bool:
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"""检查是否可以处理该消息"""
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if not self.enable:
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return False
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content = str(message.get("content", "")).strip()
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command = content.split(" ")[0]
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return command in self._commands
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@plugin_stats_decorator(plugin_name="Dify聊天")
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def process_message(self, message: Dict[str, Any]) -> Tuple[bool, Optional[str]]:
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"""处理消息"""
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content = str(message.get("content", "")).strip()
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self.LOG.info(f"插件执行： {self.name}：{content}")
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parts = content.split(" ", 1)
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command = parts[0]
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sender = message.get("sender")
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roomid = message.get("roomid", "")
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wcf: Wcf = message.get("wcf")
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gbm: GroupBotManager = message.get("gbm")
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# 检查命令格式
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if len(parts) < 2 or not parts[1].strip():
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wcf.send_text(f"{self.command_format}",
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(roomid if roomid else sender), sender)
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return True, "命令格式错误"
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# 检查权限
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if roomid and gbm.get_group_permission(roomid, Feature.AI_CAPABILITY) == PermissionStatus.DISABLED:
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return False, "没有权限"
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# 获取查询内容
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query = parts[1].strip()
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# 获取会话ID（群聊使用群ID，私聊使用个人wxid）
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session_id = roomid if roomid else sender
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# 获取用户ID
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user_id = sender
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# 检查是否需要扣除积分
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if self.price > 0:
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# 管理员和白名单检查逻辑
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is_admin = False # 这里需要实现管理员检查逻辑
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is_whitelist = False # 这里需要实现白名单检查逻辑
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should_deduct = True
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if (self.admin_ignore and is_admin) or (self.whitelist_ignore and is_whitelist):
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should_deduct = False
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if should_deduct:
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# 这里需要实现积分扣除逻辑
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# 如果积分不足，返回提示
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pass
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try:
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# 调用Dify API获取回复
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response = self._chat_with_dify(session_id, user_id, query)
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# 发送回复
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if response:
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wcf.send_text(response, (roomid if roomid else sender), sender if roomid else "")
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return True, "发送成功"
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else:
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wcf.send_text("❌未能获取到回复，请稍后再试", (roomid if roomid else sender), sender if roomid else "")
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return True, "未获取到回复"
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except Exception as e:
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self.LOG.error(f"处理Dify聊天请求出错: {e}")
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wcf.send_text(f"❌请求出错：{str(e)}", (roomid if roomid else sender), sender if roomid else "")
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return True, f"处理出错: {e}"
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def _chat_with_dify(self, session_id: str, user_id: str, query: str) -> Optional[str]:
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"""
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与Dify API交互获取回复
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Args:
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session_id: 会话ID（群聊为群ID，私聊为个人wxid）
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user_id: 用户wxid
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query: 用户查询内容
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Returns:
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API返回的回复内容
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"""
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# 清理过期会话
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self._cleanup_expired_conversations()
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# 更新最后活动时间
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self.last_activity[session_id] = time.time()
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# 初始化会话历史
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if session_id not in self.conversations:
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self.conversations[session_id] = []
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# 准备请求头
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headers = {
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"Authorization": f"Bearer {self.api_key}",
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"Content-Type": "application/json",
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"Accept": "text/event-stream" # 指定接受事件流
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}
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inputs_params = {
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"query": query,
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"conversation_id": session_id
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}
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# 准备请求数据
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data = {
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"sys.files": [],
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"user": user_id,
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"inputs": inputs_params,
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"response_mode": "blocking" # 使用阻塞响应模式
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}
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# 添加历史记录
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if self.conversations[session_id]:
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data["conversation_history"] = self.conversations[session_id]
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# 设置代理
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proxies = None
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if self.http_proxy:
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proxies = {
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"http": self.http_proxy,
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"https": self.http_proxy
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}
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# 发送请求
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url = f"{self.base_url}/workflows/run"
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self.LOG.info(f"发送请求到Dify API: {url}")
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self.LOG.info(f"请求数据: {json.dumps(data, ensure_ascii=False)}")
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try:
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# 使用普通请求（非流式）
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response = requests.post(url, headers=headers, json=data, proxies=proxies)
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if response.status_code != 200:
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self.LOG.error(f"Dify API请求失败: {response.status_code} {response.text}")
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return f"请求失败，状态码: {response.status_code}"
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# 解析响应
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response_data = response.json()
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self.LOG.info(f"收到Dify API响应: {json.dumps(response_data, ensure_ascii=False)}")
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# 提取回答内容
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answer = ""
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total_tokens = 0
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# 获取输出内容
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outputs = response_data.get("data", {}).get("outputs", {})
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if outputs:
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# 尝试从text字段获取回答
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if "text" in outputs and isinstance(outputs["text"], str):
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answer = outputs["text"]
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# 如果没有text字段，尝试从其他字段获取
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else:
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for key, value in outputs.items():
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if isinstance(value, str) and value.strip():
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answer += value
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elif isinstance(value, dict):
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# 处理嵌套字典的情况
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for sub_key, sub_value in value.items():
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if isinstance(sub_value, str) and sub_value.strip():
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answer += sub_value
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elif isinstance(value, list):
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# 处理列表的情况
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for item in value:
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if isinstance(item, str) and item.strip():
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answer += item
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elif isinstance(item, dict):
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# 处理列表中的字典
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for item_key, item_value in item.items():
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if isinstance(item_value, str) and item_value.strip():
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answer += item_value
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# 获取token使用情况
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total_tokens = response_data.get("data", {}).get("total_tokens", 0)
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# 更新会话历史
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self.conversations[session_id].append({
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"role": "user",
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"content": query
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})
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self.conversations[session_id].append({
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"role": "assistant",
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"content": answer
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})
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# 限制会话历史长度
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if len(self.conversations[session_id]) > self.max_history_length * 2:
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self.conversations[session_id] = self.conversations[session_id][-self.max_history_length * 2:]
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# 统计token使用情况
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if total_tokens > 0:
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if user_id in self.token_usage:
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self.token_usage[user_id] += total_tokens
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else:
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self.token_usage[user_id] = total_tokens
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self.LOG.info(
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f"用户 {user_id} 本次消耗 {total_tokens} tokens，累计 {self.token_usage[user_id]} tokens")
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return answer
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except Exception as e:
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self.LOG.error(f"处理Dify响应时出错: {str(e)}")
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return f"处理响应时出错: {str(e)}"
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def _cleanup_expired_conversations(self) -> None:
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"""清理过期的会话"""
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current_time = time.time()
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expired_sessions = []
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for session_id, last_time in self.last_activity.items():
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if current_time - last_time > self.conversation_timeout:
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expired_sessions.append(session_id)
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for session_id in expired_sessions:
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if session_id in self.conversations:
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del self.conversations[session_id]
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del self.last_activity[session_id]
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if expired_sessions:
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self.LOG.info(f"已清理 {len(expired_sessions)} 个过期会话")
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def get_token_usage_report(self) -> str:
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"""获取token使用情况报告"""
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if not self.token_usage:
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return "暂无token使用记录"
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report = "Token使用情况统计：\n"
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for user_id, tokens in sorted(self.token_usage.items(), key=lambda x: x[1], reverse=True):
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report += f"用户 {user_id}: {tokens} tokens\n"
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total = sum(self.token_usage.values())
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report += f"\n总计: {total} tokens"
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return report
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def reset_conversation(self, session_id: str) -> bool:
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"""重置指定会话的上下文"""
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if session_id in self.conversations:
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del self.conversations[session_id]
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if session_id in self.last_activity:
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del self.last_activity[session_id]
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return True
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return False
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def reset_all_conversations(self) -> None:
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"""重置所有会话上下文"""
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self.conversations.clear()
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self.last_activity.clear()
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