我正在编写一个闲鱼客服，以上是XianyuAgent.py代码，以下是两个子代码文件：context_manager.py:import sqlite3
import os
import json
from datetime import datetime
from loguru import logger
class ChatContextManager:
"""
聊天上下文管理器
负责存储和检索用户与商品之间的对话历史，使用SQLite数据库进行持久化存储。
支持按会话ID检索对话历史，以及议价次数统计。
"""
def __init__(self, max_history=100, db_path="data/chat_history.db"):
"""
初始化聊天上下文管理器
Args:
max_history: 每个对话保留的最大消息数
db_path: SQLite数据库文件路径
"""
self.max_history = max_history
self.db_path = db_path
self._init_db()
def _init_db(self):
"""初始化数据库表结构"""
# 确保数据库目录存在
db_dir = os.path.dirname(self.db_path)
if db_dir and not os.path.exists(db_dir):
os.makedirs(db_dir)
conn = sqlite3.connect(self.db_path)
cursor = conn.cursor()
# 创建消息表
cursor.execute('''
CREATE TABLE IF NOT EXISTS messages (
id INTEGER PRIMARY KEY AUTOINCREMENT,
user_id TEXT NOT NULL,
item_id TEXT NOT NULL,
role TEXT NOT NULL,
content TEXT NOT NULL,
timestamp DATETIME DEFAULT CURRENT_TIMESTAMP,
chat_id TEXT
)
''')
# 检查是否需要添加chat_id字段（兼容旧数据库）
cursor.execute("PRAGMA table_info(messages)")
columns = [column[1] for column in cursor.fetchall()]
if 'chat_id' not in columns:
cursor.execute('ALTER TABLE messages ADD COLUMN chat_id TEXT')
logger.info("已为messages表添加chat_id字段")
# 创建索引以加速查询
cursor.execute('''
CREATE INDEX IF NOT EXISTS idx_user_item ON messages (user_id, item_id)
''')
cursor.execute('''
CREATE INDEX IF NOT EXISTS idx_chat_id ON messages (chat_id)
''')
cursor.execute('''
CREATE INDEX IF NOT EXISTS idx_timestamp ON messages (timestamp)
''')
# 创建基于会话ID的议价次数表
cursor.execute('''
CREATE TABLE IF NOT EXISTS chat_bargain_counts (
chat_id TEXT PRIMARY KEY,
count INTEGER DEFAULT 0,
last_updated DATETIME DEFAULT CURRENT_TIMESTAMP
)
''')
# 创建商品信息表
cursor.execute('''
CREATE TABLE IF NOT EXISTS items (
item_id TEXT PRIMARY KEY,
data TEXT NOT NULL,
price REAL,
description TEXT,
last_updated DATETIME DEFAULT CURRENT_TIMESTAMP
)
''')
# 创建人工标准回答表
cursor.execute('''
CREATE TABLE IF NOT EXISTS manual_answers (
id INTEGER PRIMARY KEY AUTOINCREMENT,
question TEXT NOT NULL,
answer TEXT NOT NULL,
item_id TEXT NOT NULL,
chat_id TEXT,
created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
UNIQUE(question, item_id)
)
''')
# 创建索引加速查询
cursor.execute('''
CREATE INDEX IF NOT EXISTS idx_manual_answers_question ON manual_answers (question)
''')
# 创建索引加速查询
cursor.execute('''
CREATE INDEX IF NOT EXISTS idx_manual_answers_item_id ON manual_answers (item_id)
''')
conn.commit()
conn.close()
logger.info(f"聊天历史数据库初始化完成: {self.db_path}")
def save_item_info(self, item_id, item_data):
"""
保存商品信息到数据库
Args:
item_id: 商品ID
item_data: 商品信息字典
"""
conn = sqlite3.connect(self.db_path)
cursor = conn.cursor()
try:
# 从商品数据中提取有用信息
price = float(item_data.get('soldPrice', 0))
description = item_data.get('desc', '')
# 将整个商品数据转换为JSON字符串
data_json = json.dumps(item_data, ensure_ascii=False)
cursor.execute(
"""
INSERT INTO items (item_id, data, price, description, last_updated)
VALUES (?, ?, ?, ?, ?)
ON CONFLICT(item_id)
DO UPDATE SET data = ?, price = ?, description = ?, last_updated = ?
""",
(
item_id, data_json, price, description, datetime.now().isoformat(),
data_json, price, description, datetime.now().isoformat()
)
)
conn.commit()
logger.debug(f"商品信息已保存: {item_id}")
except Exception as e:
logger.error(f"保存商品信息时出错: {e}")
conn.rollback()
finally:
conn.close()
def get_item_info(self, item_id):
"""
从数据库获取商品信息
Args:
item_id: 商品ID
Returns:
dict: 商品信息字典，如果不存在返回None
"""
conn = sqlite3.connect(self.db_path)
cursor = conn.cursor()
try:
cursor.execute(
"SELECT data FROM items WHERE item_id = ?",
(item_id,)
)
result = cursor.fetchone()
if result:
return json.loads(result[0])
return None
except Exception as e:
logger.error(f"获取商品信息时出错: {e}")
return None
finally:
conn.close()
def add_message_by_chat(self, chat_id, user_id, item_id, role, content):
"""
基于会话ID添加新消息到对话历史
Args:
chat_id: 会话ID
user_id: 用户ID (用户消息存真实user_id，助手消息存卖家ID)
item_id: 商品ID
role: 消息角色 (user/assistant)
content: 消息内容
"""
conn = sqlite3.connect(self.db_path)
cursor = conn.cursor()
try:
# 插入新消息，使用chat_id作为额外标识
cursor.execute(
"INSERT INTO messages (user_id, item_id, role, content, timestamp, chat_id) VALUES (?, ?, ?, ?, ?, ?)",
(user_id, item_id, role, content, datetime.now().isoformat(), chat_id)
)
# 检查是否需要清理旧消息（基于chat_id）
cursor.execute(
"""
SELECT id FROM messages
WHERE chat_id = ?
ORDER BY timestamp DESC
LIMIT ?, 1
""",
(chat_id, self.max_history)
)
oldest_to_keep = cursor.fetchone()
if oldest_to_keep:
cursor.execute(
"DELETE FROM messages WHERE chat_id = ? AND id < ?",
(chat_id, oldest_to_keep[0])
)
conn.commit()
except Exception as e:
logger.error(f"添加消息到数据库时出错: {e}")
conn.rollback()
finally:
conn.close()
def get_context_by_chat(self, chat_id):
"""
基于会话ID获取对话历史
Args:
chat_id: 会话ID
Returns:
list: 包含对话历史的列表
"""
conn = sqlite3.connect(self.db_path)
cursor = conn.cursor()
try:
cursor.execute(
"""
SELECT role, content FROM messages
WHERE chat_id = ?
ORDER BY timestamp ASC
LIMIT ?
""",
(chat_id, self.max_history)
)
messages = [{"role": role, "content": content} for role, content in cursor.fetchall()]
# 获取议价次数并添加到上下文中
bargain_count = self.get_bargain_count_by_chat(chat_id)
if bargain_count > 0:
messages.append({
"role": "system",
"content": f"议价次数: {bargain_count}"
})
except Exception as e:
logger.error(f"获取对话历史时出错: {e}")
messages = []
finally:
conn.close()
return messages
def increment_bargain_count_by_chat(self, chat_id):
"""
基于会话ID增加议价次数
Args:
chat_id: 会话ID
"""
conn = sqlite3.connect(self.db_path)
cursor = conn.cursor()
try:
# 使用UPSERT语法直接基于chat_id增加议价次数
cursor.execute(
"""
INSERT INTO chat_bargain_counts (chat_id, count, last_updated)
VALUES (?, 1, ?)
ON CONFLICT(chat_id)
DO UPDATE SET count = count + 1, last_updated = ?
""",
(chat_id, datetime.now().isoformat(), datetime.now().isoformat())
)
conn.commit()
logger.debug(f"会话 {chat_id} 议价次数已增加")
except Exception as e:
logger.error(f"增加议价次数时出错: {e}")
conn.rollback()
finally:
conn.close()
def get_bargain_count_by_chat(self, chat_id):
"""
基于会话ID获取议价次数
Args:
chat_id: 会话ID
Returns:
int: 议价次数
"""
conn = sqlite3.connect(self.db_path)
cursor = conn.cursor()
try:
cursor.execute(
"SELECT count FROM chat_bargain_counts WHERE chat_id = ?",
(chat_id,)
)
result = cursor.fetchone()
return result[0] if result else 0
except Exception as e:
logger.error(f"获取议价次数时出错: {e}")
return 0
finally:
conn.close()
def update_manual_answer(self, question, new_answer, item_id, chat_id=None):
"""
更新已保存的人工标准回答
Args:
question: 原始问题
new_answer: 新的回答内容
item_id: 商品ID
chat_id: 会话ID（可选）
Returns:
bool: 更新是否成功
"""
conn = sqlite3.connect(self.db_path)
cursor = conn.cursor()
try:
cursor.execute(
"UPDATE manual_answers SET answer = ?, created_at = ? WHERE question = ? AND item_id = ?",
(new_answer, datetime.now().isoformat(), question, item_id)
)
conn.commit()
if cursor.rowcount > 0:
logger.info(f"人工标准回答已更新: {question[:30]}...")
return True
else:
logger.warning(f"未找到匹配的人工标准回答: {question[:30]}...")
return False
except Exception as e:
logger.error(f"更新人工标准回答时出错: {e}")
conn.rollback()
return False
finally:
conn.close()
def save_manual_answer(self, question, answer, item_id, chat_id=None):
"""
保存人工标准回答到数据库
Args:
question: 用户问题
answer: 人工回答
item_id: 商品ID
chat_id: 会话ID（可选）
"""
conn = sqlite3.connect(self.db_path)
cursor = conn.cursor()
try:
cursor.execute(
"INSERT OR IGNORE INTO manual_answers (question, answer, item_id, chat_id, created_at) VALUES (?, ?, ?, ?, ?)",
(question, answer, item_id, chat_id, datetime.now().isoformat())
)
conn.commit()
logger.info(f"人工标准回答已保存: {question[:30]}...")
except Exception as e:
logger.error(f"保存人工标准回答时出错: {e}")
conn.rollback()
finally:
conn.close()
def get_manual_answer(self, question, item_id):
"""
从数据库获取人工标准回答
Args:
question: 用户问题
item_id: 商品ID
Returns:
str: 匹配的人工回答，如果没有找到则返回None
"""
conn = sqlite3.connect(self.db_path)
cursor = conn.cursor()
try:
# 使用LIKE进行模糊匹配
cursor.execute(
"SELECT answer FROM manual_answers WHERE item_id = ? AND question LIKE ? ORDER BY created_at DESC LIMIT 1",
(item_id, f"%{question}%")
)
result = cursor.fetchone()
return result[0] if result else None
except Exception as e:
logger.error(f"获取人工标准回答时出错: {e}")
return None
finally:
conn.close()
main.py:
import base64
import json
import asyncio
import time
import os
import websockets
from loguru import logger
from dotenv import load_dotenv
from XianyuApis import XianyuApis
import sys
from utils.xianyu_utils import generate_mid, generate_uuid, trans_cookies, generate_device_id, decrypt
from XianyuAgent import XianyuReplyBot
from context_manager import ChatContextManager
class XianyuLive:
def __init__(self, cookies_str):
self.xianyu = XianyuApis()
self.base_url = 'wss://wss-goofish.dingtalk.com/'
self.cookies_str = cookies_str
self.cookies = trans_cookies(cookies_str)
self.xianyu.session.cookies.update(self.cookies) # 直接使用 session.cookies.update
self.myid = self.cookies['unb']
self.device_id = generate_device_id(self.myid)
self.context_manager = ChatContextManager()
# 心跳相关配置
self.heartbeat_interval = int(os.getenv("HEARTBEAT_INTERVAL", "15")) # 心跳间隔，默认15秒
self.heartbeat_timeout = int(os.getenv("HEARTBEAT_TIMEOUT", "5")) # 心跳超时，默认5秒
self.last_heartbeat_time = 0
self.last_heartbeat_response = 0
self.heartbeat_task = None
self.ws = None
# Token刷新相关配置
self.token_refresh_interval = int(os.getenv("TOKEN_REFRESH_INTERVAL", "3600")) # Token刷新间隔，默认1小时
self.token_retry_interval = int(os.getenv("TOKEN_RETRY_INTERVAL", "300")) # Token重试间隔，默认5分钟
self.last_token_refresh_time = 0
self.current_token = None
self.token_refresh_task = None
self.connection_restart_flag = False # 连接重启标志
# 人工接管相关配置
self.manual_mode_conversations = set() # 存储处于人工接管模式的会话ID
self.manual_mode_timeout = int(os.getenv("MANUAL_MODE_TIMEOUT", "3600")) # 人工接管超时时间，默认1小时
self.manual_mode_timestamps = {} # 记录进入人工模式的时间
# 消息过期时间配置
self.message_expire_time = int(os.getenv("MESSAGE_EXPIRE_TIME", "300000")) # 消息过期时间，默认5分钟
# 人工接管关键词，从环境变量读取
self.toggle_keywords = os.getenv("TOGGLE_KEYWORDS", "。")
async def refresh_token(self):
"""刷新token"""
try:
logger.info("开始刷新token...")
# 获取新token（如果Cookie失效，get_token会直接退出程序）
token_result = self.xianyu.get_token(self.device_id)
if 'data' in token_result and 'accessToken' in token_result['data']:
new_token = token_result['data']['accessToken']
self.current_token = new_token
self.last_token_refresh_time = time.time()
logger.info("Token刷新成功")
return new_token
else:
logger.error(f"Token刷新失败: {token_result}")
return None
except Exception as e:
logger.error(f"Token刷新异常: {str(e)}")
return None
async def token_refresh_loop(self):
"""Token刷新循环"""
while True:
try:
current_time = time.time()
# 检查是否需要刷新token
if current_time - self.last_token_refresh_time >= self.token_refresh_interval:
logger.info("Token即将过期，准备刷新...")
new_token = await self.refresh_token()
if new_token:
logger.info("Token刷新成功，准备重新建立连接...")
# 设置连接重启标志
self.connection_restart_flag = True
# 关闭当前WebSocket连接，触发重连
if self.ws:
await self.ws.close()
break
else:
logger.error("Token刷新失败，将在{}分钟后重试".format(self.token_retry_interval // 60))
await asyncio.sleep(self.token_retry_interval) # 使用配置的重试间隔
continue
# 每分钟检查一次
await asyncio.sleep(60)
except Exception as e:
logger.error(f"Token刷新循环出错: {e}")
await asyncio.sleep(60)
async def send_msg(self, ws, cid, toid, text):
text = {
"contentType": 4,
"html": {
"html": text
}
}
text_base64 = str(base64.b64encode(json.dumps(text).encode('utf-8')), 'utf-8')
msg = {
"lwp": "/r/MessageSend/sendByReceiverScope",
"headers": {
"mid": generate_mid()
},
"body": [
{
"uuid": generate_uuid(),
"cid": f"{cid}@goofish",
"conversationType": 1,
"content": {
"contentType": 101,
"custom": {
"type": 1,
"data": text_base64
}
},
"redPointPolicy": 0,
"extension": {
"extJson": "{}"
},
"ctx": {
"appVersion": "1.0",
"platform": "web"
},
"mtags": {},
"msgReadStatusSetting": 1
},
{
"actualReceivers": [
f"{toid}@goofish",
f"{self.myid}@goofish"
]
}
]
}
await ws.send(json.dumps(msg))
async def init(self, ws):
# 如果没有token或者token过期，获取新token
if not self.current_token or (time.time() - self.last_token_refresh_time) >= self.token_refresh_interval:
logger.info("获取初始token...")
await self.refresh_token()
if not self.current_token:
logger.error("无法获取有效token，初始化失败")
raise Exception("Token获取失败")
msg = {
"lwp": "/reg",
"headers": {
"cache-header": "app-key token ua wv",
"app-key": "444e9908a51d1cb236a27862abc769c9",
"token": self.current_token,
"ua": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Safari/537.36 DingTalk(2.1.5) OS(Windows/10) Browser(Chrome/133.0.0.0) DingWeb/2.1.5 IMPaaS DingWeb/2.1.5",
"dt": "j",
"wv": "im:3,au:3,sy:6",
"sync": "0,0;0;0;",
"did": self.device_id,
"mid": generate_mid()
}
}
await ws.send(json.dumps(msg))
# 等待一段时间，确保连接注册完成
await asyncio.sleep(1)
msg = {"lwp": "/r/SyncStatus/ackDiff", "headers": {"mid": "5701741704675979 0"}, "body": [
{"pipeline": "sync", "tooLong2Tag": "PNM,1", "channel": "sync", "topic": "sync", "highPts": 0,
"pts": int(time.time() * 1000) * 1000, "seq": 0, "timestamp": int(time.time() * 1000)}]}
await ws.send(json.dumps(msg))
logger.info('连接注册完成')
def is_chat_message(self, message):
"""判断是否为用户聊天消息"""
try:
return (
isinstance(message, dict)
and "1" in message
and isinstance(message["1"], dict) # 确保是字典类型
and "10" in message["1"]
and isinstance(message["1"]["10"], dict) # 确保是字典类型
and "reminderContent" in message["1"]["10"]
)
except Exception:
return False
def is_sync_package(self, message_data):
"""判断是否为同步包消息"""
try:
return (
isinstance(message_data, dict)
and "body" in message_data
and "syncPushPackage" in message_data["body"]
and "data" in message_data["body"]["syncPushPackage"]
and len(message_data["body"]["syncPushPackage"]["data"]) > 0
)
except Exception:
return False
def is_typing_status(self, message):
"""判断是否为用户正在输入状态消息"""
try:
return (
isinstance(message, dict)
and "1" in message
and isinstance(message["1"], list)
and len(message["1"]) > 0
and isinstance(message["1"][0], dict)
and "1" in message["1"][0]
and isinstance(message["1"][0]["1"], str)
and "@goofish" in message["1"][0]["1"]
)
except Exception:
return False
def is_system_message(self, message):
"""判断是否为系统消息"""
try:
return (
isinstance(message, dict)
and "3" in message
and isinstance(message["3"], dict)
and "needPush" in message["3"]
and message["3"]["needPush"] == "false"
)
except Exception:
return False
def check_toggle_keywords(self, message):
"""检查消息是否包含切换关键词"""
message_stripped = message.strip()
return message_stripped in self.toggle_keywords
def is_manual_mode(self, chat_id):
"""检查特定会话是否处于人工接管模式"""
if chat_id not in self.manual_mode_conversations:
return False
# 检查是否超时
current_time = time.time()
if chat_id in self.manual_mode_timestamps:
if current_time - self.manual_mode_timestamps[chat_id] > self.manual_mode_timeout:
# 超时，自动退出人工模式
self.exit_manual_mode(chat_id)
return False
return True
def enter_manual_mode(self, chat_id):
"""进入人工接管模式"""
self.manual_mode_conversations.add(chat_id)
self.manual_mode_timestamps[chat_id] = time.time()
def exit_manual_mode(self, chat_id):
"""退出人工接管模式"""
self.manual_mode_conversations.discard(chat_id)
if chat_id in self.manual_mode_timestamps:
del self.manual_mode_timestamps[chat_id]
def toggle_manual_mode(self, chat_id):
"""切换人工接管模式"""
if self.is_manual_mode(chat_id):
self.exit_manual_mode(chat_id)
return "auto"
else:
self.enter_manual_mode(chat_id)
return "manual"
async def handle_message(self, message_data, websocket):
"""处理所有类型的消息"""
try:
try:
message = message_data
ack = {
"code": 200,
"headers": {
"mid": message["headers"]["mid"] if "mid" in message["headers"] else generate_mid(),
"sid": message["headers"]["sid"] if "sid" in message["headers"] else '',
}
}
if 'app-key' in message["headers"]:
ack["headers"]["app-key"] = message["headers"]["app-key"]
if 'ua' in message["headers"]:
ack["headers"]["ua"] = message["headers"]["ua"]
if 'dt' in message["headers"]:
ack["headers"]["dt"] = message["headers"]["dt"]
await websocket.send(json.dumps(ack))
except Exception as e:
pass
# 如果不是同步包消息，直接返回
if not self.is_sync_package(message_data):
return
# 获取并解密数据
sync_data = message_data["body"]["syncPushPackage"]["data"][0]
# 检查是否有必要的字段
if "data" not in sync_data:
logger.debug("同步包中无data字段")
return
# 解密数据
try:
data = sync_data["data"]
try:
data = base64.b64decode(data).decode("utf-8")
data = json.loads(data)
# logger.info(f"无需解密 message: {data}")
return
except Exception as e:
# logger.info(f'加密数据: {data}')
decrypted_data = decrypt(data)
message = json.loads(decrypted_data)
except Exception as e:
logger.error(f"消息解密失败: {e}")
return
try:
# 判断是否为订单消息,需要自行编写付款后的逻辑
if message['3']['redReminder'] == '等待买家付款':
user_id = message['1'].split('@')[0]
user_url = f'https://www.goofish.com/personal?userId={user_id}'
logger.info(f'等待买家 {user_url} 付款')
return
elif message['3']['redReminder'] == '交易关闭':
user_id = message['1'].split('@')[0]
user_url = f'https://www.goofish.com/personal?userId={user_id}'
logger.info(f'买家 {user_url} 交易关闭')
return
elif message['3']['redReminder'] == '等待卖家发货':
user_id = message['1'].split('@')[0]
user_url = f'https://www.goofish.com/personal?userId={user_id}'
logger.info(f'交易成功 {user_url} 等待卖家发货')
return
except:
pass
# 判断消息类型
if self.is_typing_status(message):
logger.debug("用户正在输入")
return
elif not self.is_chat_message(message):
logger.debug("其他非聊天消息")
logger.debug(f"原始消息: {message}")
return
# 处理聊天消息
create_time = int(message["1"]["5"])
send_user_name = message["1"]["10"]["reminderTitle"]
send_user_id = message["1"]["10"]["senderUserId"]
send_message = message["1"]["10"]["reminderContent"]
# 时效性验证（过滤5分钟前消息）
if (time.time() * 1000 - create_time) > self.message_expire_time:
logger.debug("过期消息丢弃")
return
# 获取商品ID和会话ID
url_info = message["1"]["10"]["reminderUrl"]
item_id = url_info.split("itemId=")[1].split("&")[0] if "itemId=" in url_info else None
chat_id = message["1"]["2"].split('@')[0]
if not item_id:
logger.warning("无法获取商品ID")
return
# 检查是否为卖家（自己）发送的控制命令
if send_user_id == self.myid:
logger.debug("检测到卖家消息，检查是否为控制命令")
# 检查切换命令
if self.check_toggle_keywords(send_message):
mode = self.toggle_manual_mode(chat_id)
if mode == "manual":
logger.info(f"🔴 已接管会话 {chat_id} (商品: {item_id})")
else:
logger.info(f"🟢 已恢复会话 {chat_id} 的自动回复 (商品: {item_id})")
return
# 记录卖家人工回复
self.context_manager.add_message_by_chat(chat_id, self.myid, item_id, "assistant", send_message)
logger.info(f"卖家人工回复 (会话: {chat_id}, 商品: {item_id}): {send_message}")
# 获取用户问题并保存人工标准回答
context = self.context_manager.get_context_by_chat(chat_id)
user_question = None
for msg in reversed(context):
if msg['role'] == 'user':
user_question = msg['content']
break
if user_question:
self.context_manager.save_manual_answer(user_question, send_message, item_id)
logger.info(f"已保存人工标准回答 (商品: {item_id}): 问题: {user_question}, 回答: {send_message}")
return
logger.info(f"用户: {send_user_name} (ID: {send_user_id}), 商品: {item_id}, 会话: {chat_id}, 消息: {send_message}")
# 添加用户消息到上下文
self.context_manager.add_message_by_chat(chat_id, send_user_id, item_id, "user", send_message)
# 如果当前会话处于人工接管模式，不进行自动回复
if self.is_manual_mode(chat_id):
logger.info(f"🔴 会话 {chat_id} 处于人工接管模式，跳过自动回复")
return
if self.is_system_message(message):
logger.debug("系统消息，跳过处理")
return
# 从数据库中获取商品信息，如果不存在则从API获取并保存
item_info = self.context_manager.get_item_info(item_id)
if not item_info:
logger.info(f"从API获取商品信息: {item_id}")
api_result = self.xianyu.get_item_info(item_id)
if 'data' in api_result and 'itemDO' in api_result['data']:
item_info = api_result['data']['itemDO']
# 保存商品信息到数据库
self.context_manager.save_item_info(item_id, item_info)
else:
logger.warning(f"获取商品信息失败: {api_result}")
return
else:
logger.info(f"从数据库获取商品信息: {item_id}")
item_description = f"{item_info['desc']};当前商品售卖价格为:{str(item_info['soldPrice'])}"
# 获取完整的对话上下文
context = self.context_manager.get_context_by_chat(chat_id)
# 生成回复
bot_reply = bot.generate_reply(
send_message,
item_description,
context=context
)
# 检查是否为价格意图，如果是则增加议价次数
if bot.last_intent == "price":
self.context_manager.increment_bargain_count_by_chat(chat_id)
bargain_count = self.context_manager.get_bargain_count_by_chat(chat_id)
logger.info(f"用户 {send_user_name} 对商品 {item_id} 的议价次数: {bargain_count}")
# 添加机器人回复到上下文
self.context_manager.add_message_by_chat(chat_id, self.myid, item_id, "assistant", bot_reply)
logger.info(f"机器人回复: {bot_reply}")
await self.send_msg(websocket, chat_id, send_user_id, bot_reply)
except Exception as e:
logger.error(f"处理消息时发生错误: {str(e)}")
logger.debug(f"原始消息: {message_data}")
async def send_heartbeat(self, ws):
"""发送心跳包并等待响应"""
try:
heartbeat_mid = generate_mid()
heartbeat_msg = {
"lwp": "/!",
"headers": {
"mid": heartbeat_mid
}
}
await ws.send(json.dumps(heartbeat_msg))
self.last_heartbeat_time = time.time()
logger.debug("心跳包已发送")
return heartbeat_mid
except Exception as e:
logger.error(f"发送心跳包失败: {e}")
raise
async def heartbeat_loop(self, ws):
"""心跳维护循环"""
while True:
try:
current_time = time.time()
# 检查是否需要发送心跳
if current_time - self.last_heartbeat_time >= self.heartbeat_interval:
await self.send_heartbeat(ws)
# 检查上次心跳响应时间，如果超时则认为连接已断开
if (current_time - self.last_heartbeat_response) > (self.heartbeat_interval + self.heartbeat_timeout):
logger.warning("心跳响应超时，可能连接已断开")
break
await asyncio.sleep(1)
except Exception as e:
logger.error(f"心跳循环出错: {e}")
break
async def handle_heartbeat_response(self, message_data):
"""处理心跳响应"""
try:
if (
isinstance(message_data, dict)
and "headers" in message_data
and "mid" in message_data["headers"]
and "code" in message_data
and message_data["code"] == 200
):
self.last_heartbeat_response = time.time()
logger.debug("收到心跳响应")
return True
except Exception as e:
logger.error(f"处理心跳响应出错: {e}")
return False
async def main(self):
while True:
try:
# 重置连接重启标志
self.connection_restart_flag = False
headers = {
"Cookie": self.cookies_str,
"Host": "wss-goofish.dingtalk.com",
"Connection": "Upgrade",
"Pragma": "no-cache",
"Cache-Control": "no-cache",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Safari/537.36",
"Origin": "https://www.goofish.com",
"Accept-Encoding": "gzip, deflate, br, zstd",
"Accept-Language": "zh-CN,zh;q=0.9",
}
async with websockets.connect(self.base_url, extra_headers=headers) as websocket:
self.ws = websocket
await self.init(websocket)
# 初始化心跳时间
self.last_heartbeat_time = time.time()
self.last_heartbeat_response = time.time()
# 启动心跳任务
self.heartbeat_task = asyncio.create_task(self.heartbeat_loop(websocket))
# 启动token刷新任务
self.token_refresh_task = asyncio.create_task(self.token_refresh_loop())
async for message in websocket:
try:
# 检查是否需要重启连接
if self.connection_restart_flag:
logger.info("检测到连接重启标志，准备重新建立连接...")
break
message_data = json.loads(message)
# 处理心跳响应
if await self.handle_heartbeat_response(message_data):
continue
# 发送通用ACK响应
if "headers" in message_data and "mid" in message_data["headers"]:
ack = {
"code": 200,
"headers": {
"mid": message_data["headers"]["mid"],
"sid": message_data["headers"].get("sid", "")
}
}
# 复制其他可能的header字段
for key in ["app-key", "ua", "dt"]:
if key in message_data["headers"]:
ack["headers"][key] = message_data["headers"][key]
await websocket.send(json.dumps(ack))
# 处理其他消息
await self.handle_message(message_data, websocket)
except json.JSONDecodeError:
logger.error("消息解析失败")
except Exception as e:
logger.error(f"处理消息时发生错误: {str(e)}")
logger.debug(f"原始消息: {message}")
except websockets.exceptions.ConnectionClosed:
logger.warning("WebSocket连接已关闭")
except Exception as e:
logger.error(f"连接发生错误: {e}")
finally:
# 清理任务
if self.heartbeat_task:
self.heartbeat_task.cancel()
try:
await self.heartbeat_task
except asyncio.CancelledError:
pass
if self.token_refresh_task:
self.token_refresh_task.cancel()
try:
await self.token_refresh_task
except asyncio.CancelledError:
pass
# 如果是主动重启，立即重连；否则等待5秒
if self.connection_restart_flag:
logger.info("主动重启连接，立即重连...")
else:
logger.info("等待5秒后重连...")
await asyncio.sleep(5)
if __name__ == '__main__':
# 加载环境变量
load_dotenv()
# 配置日志级别
log_level = os.getenv("LOG_LEVEL", "DEBUG").upper()
logger.remove() # 移除默认handler
logger.add(
sys.stderr,
level=log_level,
format="<green>{time:YYYY-MM-DD HH:mm:ss.SSS}</green> | <level>{level: <8}</level> | <cyan>{name}</cyan>:<cyan>{function}</cyan>:<cyan>{line}</cyan> - <level>{message}</level>"
)
logger.info(f"日志级别设置为: {log_level}")
cookies_str = os.getenv("COOKIES_STR")
bot = XianyuReplyBot()
xianyuLive = XianyuLive(cookies_str)
# 常驻进程
asyncio.run(xianyuLive.main())
现在在我加了techagent知识库检索(knowledge_base中product_summary.excel)的功能之后,客服机器人的消息发布出去了，只是可以把消息回复记录进日志
作者分享Line官方账号bot开发与部署经验。推荐相关教程，指出使用anaconda获取包较麻烦，建议不用其Python，要注意版本问题。还提到上传Heroku前本地测试、处理bug，以及Channel_Access_Token和Channel_Secret引号使用问题，虽有报错但仍可正常运行。
扫一扫
3万+
被折叠的 条评论
为什么被折叠?
到【灌水乐园】发言
