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wechat_kefu.py
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258
wechat_kefu.py
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from flask import Flask, request, make_response
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import hashlib
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import time
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import xml.etree.ElementTree as ET
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import requests
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import threading
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import xml.sax.saxutils as saxutils
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import json
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app = Flask(__name__)
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# ======================================
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# 全局配置区
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# ======================================
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# 与微信公众号后台“服务器配置”中填写的 Token 保持一致，用于验证微信服务器请求的合法性
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TOKEN = ""
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# Dify AI 服务配置：基础 URL 与 API Key
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DIFY_API_BASE = "" # ⚠️ 替换为你的本地地址
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DIFY_API_KEY = "" # ⚠️ 清空或使用本地密钥
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# 会话映射字典：存储 <user_openid, Dify 返回的 conversation_id> 映射
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conv_map = {}
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# ======================================
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# 1. 获取微信 access_token
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# ======================================
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def get_access_token():
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"""
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说明：
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向微信接口获取 access_token，此 token 用于调用“客服消息接口”发送消息。
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建议在生产环境中实现缓存机制，过期后再重新拉取。
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返回：
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access_token 字符串
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异常抛出：
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requests 异常或微信接口返回 errcode != 0 时
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"""
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APPID = "" # 在微信公众号后台获取APPID
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APPSECRET = "" # 在微信公众号后台获取APPSECRET
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# 拼接 URL，grant_type 固定为 client_credential
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url = f"https://api.weixin.qq.com/cgi-bin/token?grant_type=client_credential&appid={APPID}&secret={APPSECRET}"
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resp = requests.get(url, timeout=5)
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data = resp.json()
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# 简单校验：若返回包含 errcode 且不等于 0，则说明调用失败
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if data.get("errcode"):
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raise Exception(f"获取 access_token 失败，errcode={data['errcode']}，errmsg={data.get('errmsg')}")
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return data.get("access_token")
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# ======================================
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# 2. 发送微信客服消息
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# ======================================
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def send_wechat_customer_message(openid, content):
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"""
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说明：
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通过微信“客服消息接口”主动向用户推送文本消息。仅已认证公众号且
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用户在 48 小时内与公众号有过交互时，才能发送客服消息。
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参数：
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openid (str)：用户的唯一标识
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content (str)：要发送的纯文本内容
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返回：
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None
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异常捕获：
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1. get_access_token() 失败
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2. HTTP 请求失败
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3. 微信接口返回 errcode != 0
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"""
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try:
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# 1. 获取 access_token
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access_token = get_access_token()
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url = f"https://api.weixin.qq.com/cgi-bin/message/custom/send?access_token={access_token}"
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# 2. 构造消息体：发送文本
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payload = {
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"touser": openid,
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"msgtype": "text",
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"text": {
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"content": content
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}
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}
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# 3. 发起 POST 请求
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response = requests.post(url, json=payload, timeout=5)
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print("【客服消息】发送状态码:", response.status_code)
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print("【客服消息】发送结果:", response.text)
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# 4. 检查微信接口返回
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resp_json = response.json()
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if resp_json.get("errcode") != 0:
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raise Exception(f"微信客服消息接口返回错误，errcode={resp_json['errcode']}，errmsg={resp_json.get('errmsg')}")
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except Exception as e:
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# 打印错误日志，生产环境可做更完善的监控/告警
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print("【客服消息】发送失败:", str(e))
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# ======================================
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# 3. 异步调用 Dify 并发送客服消息
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# ======================================
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def async_reply(user_openid, official_id, user_msg, conv_map):
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"""
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说明：
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在后台线程中调用 Dify AI 服务，获取智能回复后，通过客服消息接口主动推送给用户。
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参数：
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user_openid (str)：用户的唯一标识
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official_id (str)：公众号的 ID（一般不作为 Dify 调用参数）
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user_msg (str)：用户发送的原始文本消息
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conv_map (dict)：保存 <user_openid, conversation_id> 用于多轮对话
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"""
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# 1. 构造 Dify 请求 payload
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payload = {
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"inputs": {}, # 此处保留，可扩展放置其他上下文数据
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"query": user_msg, # 用户输入文本
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"response_mode": "blocking",
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"user": user_openid # 把用户 ID 传给 Dify，便于多用户区分
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}
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# 如果 conv_map 中已经存在此用户的 conversation_id，则带上以维持上下文
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if user_openid in conv_map:
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payload["conversation_id"] = conv_map[user_openid]
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# 2. 构造 HTTP 请求头
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headers = {"Content-Type": "application/json"}
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# 仅在配置了 API Key 时添加认证头
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if DIFY_API_KEY:
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headers["Authorization"] = f"Bearer {DIFY_API_KEY}"
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try:
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# 3. 发起 Dify AI 服务调用
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resp = requests.post(
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f"{DIFY_API_BASE}/chat-messages",
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headers=headers,
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json=payload,
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timeout=10
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)
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print("【异步调用】Dify 响应状态码:", resp.status_code)
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print("【异步调用】Dify 原始响应:", resp.text)
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# 4. 检查 HTTP 返回码
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if resp.status_code != 200:
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raise Exception(f"Dify 返回非200状态码: {resp.status_code}")
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data = resp.json()
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# 5. 提取 answer 字段（可能含有 Unicode 编码），尝试自动解码
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reply = data.get("answer", "抱歉，我无法回答这个问题。")
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try:
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# 若 reply 中有类似 "\u89c6\u89c9" 需要被解码为中文，则此方法可行
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reply = json.loads(f'"{reply}"')
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except json.JSONDecodeError:
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# 若不是 Unicode 编码，就保留原样
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pass
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# 6. 如果 Dify 返回了 conversation_id，更新 conv_map
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if data.get("conversation_id"):
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conv_map[user_openid] = data["conversation_id"]
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# 7. 通过客服消息接口主动推送给用户
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send_wechat_customer_message(user_openid, reply)
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except Exception as e:
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# 一旦出现任何异常，就发一条"调用失败"消息给用户
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error_msg = f"调用AI接口失败，请稍后再试。错误信息：{str(e)}"
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print("【异步调用】错误:", error_msg)
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send_wechat_customer_message(user_openid, error_msg)
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# ======================================
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# 4. 微信消息接入与路由
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# ======================================
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@app.route('/wx', methods=['GET', 'POST'])
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def wechat():
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# --------------------------------
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# 4.1 GET 请求：微信服务器接入验证
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# --------------------------------
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if request.method == 'GET':
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data = request.args
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signature = data.get('signature')
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timestamp = data.get('timestamp')
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nonce = data.get('nonce')
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echostr = data.get('echostr')
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# 1. 对 timestamp、nonce、TOKEN 字典序排序，拼接后做 SHA1
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tmp_list = sorted([timestamp, nonce, TOKEN])
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tmp_str = ''.join(tmp_list)
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hash_sha1 = hashlib.sha1()
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hash_sha1.update(tmp_str.encode('utf-8'))
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digest = hash_sha1.hexdigest()
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# 2. 若与微信给的 signature 一致，即接入验证通过
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if digest == signature:
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print("✅ 微信服务器验证成功")
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return echostr
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else:
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print("❌ 签名验证失败")
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return '验证失败', 403
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# --------------------------------
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# 4.2 POST 请求：接收并处理用户消息
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# --------------------------------
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elif request.method == 'POST':
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# 1. 解析 XML（微信服务器 POST 过来的报文内容）
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try:
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xml_data = ET.fromstring(request.data or b'')
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except ET.ParseError:
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print("❌ XML 解析失败")
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return 'success'
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# 2. 获取消息类型
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msg_type = xml_data.findtext('MsgType')
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# 3. 如果是文本消息，则异步调用 AI 服务并立即被动回复
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if msg_type == 'text':
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user_openid = xml_data.findtext('FromUserName')
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official_id = xml_data.findtext('ToUserName')
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user_msg = xml_data.findtext('Content', default='')
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print(f"📩 用户 [{user_openid}] 发送了消息: {user_msg}")
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# 4. 启动后台线程，不阻塞主线程
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thread = threading.Thread(
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target=async_reply,
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args=(user_openid, official_id, user_msg, conv_map)
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)
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thread.start()
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# 5. 构造被动回复给用户，告知“正在查询”
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reply_content = "正在为您查询答案，请稍等..."
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# 注意：使用 CDATA 包裹，避免出现 <、& 等特殊字符引起 XML 解析错误
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reply_xml = f"""
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<xml>
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<ToUserName><![CDATA[{user_openid}]]></ToUserName>
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<FromUserName><![CDATA[{official_id}]]></FromUserName>
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<CreateTime>{int(time.time())}</CreateTime>
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<MsgType><![CDATA[text]]></MsgType>
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<Content><![CDATA[{reply_content}]]></Content>
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</xml>
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""".strip()
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response = make_response(reply_xml)
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response.headers['Content-Type'] = 'application/xml'
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return response
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# 6. 针对非文本类型的消息，直接返回 success，不做任何处理
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else:
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print(f"📎 收到非文本消息类型: {msg_type}")
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return 'success'
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# ======================================
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# 5. 启动 Flask Server
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# ======================================
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if __name__ == "__main__":
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# host="0.0.0.0" 表示对外监听所有网卡；port=80 为 HTTP 默认端口
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# debug=True 仅用于开发环境，生产环境请关掉
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app.run(host="0.0.0.0", port=8010, debug=True)
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