推送数据给DTC改为独立执行的任务

.env.example

@@ -1,6 +1,10 @@
 # 数据库配置
 DATABASE_URL=postgresql+asyncpg://user:password@localhost:5432/ai_talk_callback_db
 
+# Celery配置
+CELERY_BROKER_URL=redis://localhost:6379/0
+CELERY_RESULT_BACKEND=redis://localhost:6379/0
+
 # 业务配置
 COUNT_THRESHOLD=3
 EXTERNAL_API_ENABLED=false

app/celery_app.py

@@ -0,0 +1,32 @@
+"""
+Celery应用配置
+"""
+from celery import Celery
+from app.config import settings
+from app.logger import get_logger
+
+logger = get_logger("celery")
+
+# 创建Celery应用实例
+celery_app = Celery(
+    "ai_talk_callback",
+    broker=settings.celery_broker_url,
+    backend=settings.celery_result_backend,
+    include=['app.celery_tasks']
+)
+
+# Celery配置
+celery_app.conf.update(
+    task_serializer=settings.celery_task_serializer,
+    result_serializer=settings.celery_result_serializer,
+    accept_content=settings.celery_accept_content,
+    timezone=settings.celery_timezone,
+    enable_utc=settings.celery_enable_utc,
+    task_track_started=True,
+    task_time_limit=30 * 60,  # 30分钟超时
+    task_soft_time_limit=25 * 60,  # 25分钟软超时
+    worker_prefetch_multiplier=1,
+    worker_max_tasks_per_child=1000,
+)
+
+logger.info("🌿 Celery应用配置完成")

app/celery_tasks.py

@@ -0,0 +1,410 @@
+"""
+Celery任务定义
+"""
+from celery import current_task
+from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession, async_sessionmaker
+from sqlalchemy import text
+import json
+import httpx
+import asyncio
+from app.celery_app import celery_app
+from app.config import settings
+from app.logger import get_logger
+from app.database import CallbackFailureLog, ExternalApiLog, CallbackFailureData
+
+logger = get_logger("celery_tasks")
+
+# 创建独立的数据库连接用于Celery任务
+engine = create_async_engine(
+    settings.database_url,
+    echo=settings.debug,
+    future=True
+)
+
+AsyncSessionLocal = async_sessionmaker(
+    engine,
+    class_=AsyncSession,
+    expire_on_commit=False
+)
+
+
+def get_db():
+    """获取数据库会话"""
+    return AsyncSessionLocal()
+
+
+@celery_app.task(bind=True, name='push_data_to_dtc')
+def push_data_to_dtc_task(self):
+    """
+    推送数据给DTC的Celery任务
+    自动获取一条未完成的回调请求进行处理
+    """
+    logger.info(f"🌿 开始推送数据给DTC任务")
+    
+    # 使用asyncio运行异步逻辑
+    loop = asyncio.new_event_loop()
+    asyncio.set_event_loop(loop)
+    
+    try:
+        result = loop.run_until_complete(
+            _push_data_to_dtc_async(self.request.id)
+        )
+        return result
+    except Exception as e:
+        logger.error(f"❌ 推送数据给DTC任务执行失败: {e}", exc_info=True)
+        raise
+    finally:
+        loop.close()
+
+
+async def _push_data_to_dtc_async(task_id: str):
+    """异步推送数据给DTC的核心逻辑"""
+    
+    async with AsyncSessionLocal() as db:
+        try:
+            # 获取一条未完成的回调请求（按创建时间取最小值）
+            callback_log_data = await get_uncompleted_callback_log(db)
+            if not callback_log_data:
+                logger.info("📋 没有找到未完成的回调请求")
+                return {"status": "skipped", "message": "没有找到未完成的回调请求"}
+            
+            callback_log_id, site_id, request_headers_json, request_body_json = callback_log_data
+            logger.info(f"📋 获取到未完成的回调请求: ID={callback_log_id}, site_id={site_id}")
+
+            # 解析请求头和请求体
+            request_headers = json.loads(request_headers_json)
+            request_body = json.loads(request_body_json)
+
+            # 保存callback_data.data中的数据
+            data_list = request_body.get('data', [])
+            if data_list and len(data_list) > 0:
+                await save_callback_data_items(db, data_list, callback_log_id)
+
+            # 提取所有手机号并去重
+            phone_numbers_set = set()
+            data_list = request_body.get('data', [])
+            for item in data_list:
+                number_data = item.get('number_data', {})
+                phone_number = number_data.get('number')
+                if phone_number:
+                    phone_numbers_set.add(phone_number)
+            
+            phone_numbers = list(phone_numbers_set)
+            logger.info(f"📱 提取到的手机号列表（去重后）: {phone_numbers}")
+            
+            # 检查手机号列表是否为空
+            if not phone_numbers or len(phone_numbers) == 0:
+                logger.warning(f"⚠️ 手机号列表为空，跳过推送数据给DTC")
+                return {"status": "skipped", "message": "手机号列表为空"}
+
+            # 处理每个手机号
+            processed_count = 0
+            skipped_count = 0
+            
+            for phone_number in phone_numbers:
+                # 更新任务状态
+                current_task.update_state(
+                    state='PROGRESS',
+                    meta={'current': processed_count + skipped_count, 'total': len(phone_numbers), 'status': f'处理手机号: {phone_number}'}
+                )
+                
+                # 检查手机号是否超过阈值
+                exceeds_threshold, query_success = await check_phone_number_threshold(db, phone_number)
+                
+                if not query_success:
+                    logger.error(f"❌ 查询手机号 {phone_number} 失败，跳过处理")
+                    skipped_count += 1
+                    continue
+                
+                if exceeds_threshold:
+                    logger.info(f"✅ 手机号 {phone_number} 出现次数超过阈值，跳过处理")
+                    skipped_count += 1
+                    continue
+
+                # 推送数据给DTC
+                success, retry_count = await push_data_to_dtc_with_retry(
+                    db=db,
+                    request_body=request_body,
+                    max_retries=settings.external_api_retry_max,
+                    callback_failure_log_id=callback_log_id
+                )
+                
+                if success:
+                    logger.info(f"✅ 推送数据给DTC成功，手机号: {phone_number}, 重试次数: {retry_count}")
+                    processed_count += 1
+                else:
+                    logger.error(f"❌ 推送数据给DTC失败，手机号: {phone_number}, 重试次数: {retry_count}")
+                    skipped_count += 1
+
+            logger.info(f"🎉 推送数据给DTC处理完成，成功: {processed_count}, 跳过: {skipped_count}")
+            
+            # 标记CallbackFailureLog为已完成
+            await mark_callback_log_completed(db, callback_log_id)
+            
+            return {
+                "status": "completed",
+                "processed": processed_count,
+                "skipped": skipped_count,
+                "total": len(phone_numbers)
+            }
+            
+        except Exception as e:
+            logger.error(f"❌ 推送数据给DTC时发生错误: {e}", exc_info=True)
+            return {"status": "error", "message": str(e)}
+
+
+async def save_callback_data_items(
+    db: AsyncSession,
+    callback_data_items: list,
+    callback_failure_log_id: int
+):
+    """保存callback_data.data中的数据到数据库"""
+    from datetime import datetime
+    
+    try:
+        callback_data_records = []
+        for item in callback_data_items:
+            # 获取手机号
+            number_data = item.get('number_data', {})
+            phone_number = number_data.get('number')
+            
+            if not phone_number:
+                continue
+            
+            # 获取任务ID
+            task = item.get('task', {})
+            task_id = task.get('id', '')
+            
+            # 获取用户ID
+            user_id = item.get('user_id', '')
+            
+            # 获取状态信息
+            status = item.get('status', 0)
+            status_description = item.get('status_str', '')
+            
+            # 获取通话日期，默认使用当前时间
+            calldate = datetime.now()
+            if 'calldate' in item:
+                try:
+                    # 如果calldate是字符串，尝试解析为datetime
+                    if isinstance(item['calldate'], str):
+                        calldate = datetime.fromisoformat(item['calldate'].replace('Z', '+00:00'))
+                    elif isinstance(item['calldate'], (int, float)):
+                        # 如果是时间戳，转换为datetime
+                        calldate = datetime.fromtimestamp(item['calldate'])
+                except (ValueError, TypeError) as e:
+                    logger.warning(f"⚠️ 解析calldate失败: {item.get('calldate')}, 使用当前时间, 错误: {e}")
+                    calldate = datetime.now()
+            
+            # 将整个item转换为JSON字符串保存
+            raw_data_json = json.dumps(item, ensure_ascii=False)
+            callback_data_record = CallbackFailureData(
+                callback_failure_log_id=callback_failure_log_id,
+                phone_number=phone_number,
+                task_id=task_id,
+                user_id=user_id,  # 保存用户ID
+                status=status,
+                status_description=status_description,
+                raw_data=raw_data_json,  # 保存原始JSON字符串
+                calldate=calldate  # 保存通话日期
+            )
+            callback_data_records.append(callback_data_record)
+        
+        if len(callback_data_records) > 0:
+            db.add_all(callback_data_records)
+            await db.commit()
+        
+        logger.info(f"✅ 成功保存 {len(callback_data_records)} 条callback_data记录到数据库")
+        
+    except Exception as e:
+        logger.error(f"❌ 保存callback_data到数据库失败: {e}", exc_info=True)
+        # 不重新抛出异常，避免影响主业务流程
+
+
+async def get_uncompleted_callback_log(db: AsyncSession):
+    """获取一条未完成的回调请求（按创建时间取最小值）"""
+    try:
+        # 查询一条未完成的回调日志（按创建时间升序排列，取第一条）
+        result = await db.execute(
+            text("""
+                SELECT id, site_id, request_headers, request_body 
+                FROM callback_failure_logs 
+                WHERE is_completed = false 
+                ORDER BY created_at ASC 
+                LIMIT 1
+            """)
+        )
+        row = result.fetchone()
+        
+        if not row:
+            logger.info("📋 没有找到未完成的回调日志")
+            return None
+        
+        callback_log_id, site_id, request_headers, request_body = row
+        request_headers_json = json.dumps(request_headers, ensure_ascii=False)
+        request_body_json = json.dumps(request_body, ensure_ascii=False)
+        
+        return callback_log_id, site_id, request_headers_json, request_body_json
+        
+    except Exception as e:
+        logger.error(f"❌ 查询未完成回调日志失败: {e}", exc_info=True)
+        return None
+
+
+async def get_callback_log_data(db: AsyncSession, callback_log_id: int):
+    """获取回调日志数据"""
+    try:
+        # 查询回调日志
+        result = await db.execute(
+            text("SELECT request_headers, request_body FROM callback_failure_logs WHERE id = :log_id"),
+            {"log_id": callback_log_id}
+        )
+        row = result.fetchone()
+        
+        if not row:
+            logger.error(f"❌ 未找到回调日志: {callback_log_id}")
+            return False, None, None
+        
+        request_headers_json = json.dumps(row[0], ensure_ascii=False)
+        request_body_json = json.dumps(row[1], ensure_ascii=False)
+        
+        return True, request_headers_json, request_body_json
+        
+    except Exception as e:
+        logger.error(f"❌ 查询回调日志失败: {e}", exc_info=True)
+        return False, None, None
+
+
+async def check_phone_number_threshold(db: AsyncSession, phone_number: str):
+    """检查手机号出现次数是否超过阈值"""
+    try:
+        # 查询手机号在callback_failure_data表中的出现次数
+        result = await db.execute(
+            text("SELECT COUNT(*) FROM callback_failure_data WHERE phone_number = :phone_number"),
+            {"phone_number": phone_number}
+        )
+        count = result.scalar()
+        
+        exceeds_threshold = count >= settings.count_threshold
+        logger.info(f"📊 手机号 {phone_number} 出现次数: {count}, 阈值: {settings.count_threshold}, 超过阈值: {exceeds_threshold}")
+        
+        return exceeds_threshold, True
+        
+    except Exception as e:
+        logger.error(f"❌ 查询手机号 {phone_number} 失败: {e}", exc_info=True)
+        return False, False
+
+
+async def push_data_to_dtc_with_retry(
+    db: AsyncSession,
+    request_body: dict,
+    max_retries: int,
+    callback_failure_log_id: int
+):
+    """推送数据给DTC并支持重试"""
+    
+    for attempt in range(1, max_retries + 1):
+        try:
+            logger.info(f"🌐 尝试推送数据给DTC，第{attempt}次")
+            
+            async with httpx.AsyncClient(timeout=30.0) as client:
+                response = await client.post(
+                    settings.external_api_url,
+                    json=request_body,
+                    headers={"Content-Type": "application/json"}
+                )
+                
+                # 记录推送日志
+                await _log_dtc_push_call(
+                    db=db,
+                    callback_failure_log_id=callback_failure_log_id,
+                    request_url=settings.external_api_url,
+                    request_headers={"Content-Type": "application/json"},
+                    request_body=request_body,
+                    response_status=response.status_code,
+                    response_headers=dict(response.headers),
+                    response_body=response.text,
+                    retry_count=attempt - 1
+                )
+                
+                if response.status_code == 200:
+                    logger.info(f"✅ 推送数据给DTC成功，状态码: {response.status_code}")
+                    return True, attempt - 1
+                else:
+                    logger.warning(f"⚠️ DTC返回非成功状态码: {response.status_code}")
+                    
+                    # 如果是客户端错误（4xx），不重试
+                    if 400 <= response.status_code < 500:
+                        logger.error(f"❌ 客户端错误，不重试: {response.status_code}")
+                        return False, attempt - 1
+        
+        except httpx.TimeoutException:
+            logger.warning(f"⏰ 推送数据给DTC超时，第{attempt}次尝试")
+        except httpx.RequestError as e:
+            logger.warning(f"🌐 推送数据给DTC请求错误，第{attempt}次尝试: {e}")
+        except Exception as e:
+            logger.error(f"❌ 推送数据给DTC异常，第{attempt}次尝试: {e}", exc_info=True)
+        
+        # 如果不是最后一次尝试，等待一段时间再重试
+        if attempt < max_retries:
+            await asyncio.sleep(2 ** attempt)  # 指数退避
+    
+    # 所有重试都失败了
+    logger.error(f"❌ 推送数据给DTC失败，已重试{max_retries}次")
+    return False, max_retries
+
+
+async def mark_callback_log_completed(db: AsyncSession, callback_log_id: int):
+    """标记CallbackFailureLog记录为已完成"""
+    try:
+        # 更新指定日志记录为已完成
+        result = await db.execute(
+            text("""
+                UPDATE callback_failure_logs 
+                SET is_completed = true 
+                WHERE id = :log_id 
+                AND is_completed = false
+            """),
+            {"log_id": callback_log_id}
+        )
+        
+        updated_count = result.rowcount
+        await db.commit()
+        
+        logger.info(f"✅ 已标记回调日志为已完成，ID: {callback_log_id}, 更新记录数: {updated_count}")
+        
+    except Exception as e:
+        logger.error(f"❌ 标记回调日志为已完成失败: {e}", exc_info=True)
+
+
+async def _log_dtc_push_call(
+    db: AsyncSession,
+    callback_failure_log_id: int,
+    request_url: str,
+    request_headers: dict,
+    request_body: dict,
+    response_status: int,
+    response_headers: dict,
+    response_body: str,
+    retry_count: int
+):
+    """记录推送数据给DTC的日志"""
+    try:
+        api_log = ExternalApiLog(
+            callback_failure_log_id=callback_failure_log_id,
+            request_url=request_url,
+            request_headers=request_headers,
+            request_body=request_body,
+            response_status=response_status,
+            response_headers=response_headers,
+            response_body=response_body,
+            retry_count=retry_count
+        )
+        
+        db.add(api_log)
+        await db.commit()
+        
+        logger.debug(f"📝 推送数据给DTC日志已记录，状态码: {response_status}")
+        
+    except Exception as e:
+        logger.error(f"❌ 记录推送数据给DTC日志失败: {e}", exc_info=True)

app/config.py

@@ -5,6 +5,15 @@ class Settings(BaseSettings):
     # 数据库配置
     database_url: str = ""
 
+    # Celery配置
+    celery_broker_url: str = "redis://localhost:6379/0"
+    celery_result_backend: str = "redis://localhost:6379/0"
+    celery_task_serializer: str = "json"
+    celery_result_serializer: str = "json"
+    celery_accept_content: list = ["json"]
+    celery_timezone: str = "UTC"
+    celery_enable_utc: bool = True
+
     # 业务配置
     count_threshold: int = 3  # count阈值，大于等于此值直接返回
     external_api_enabled: bool = False  # 是否启用外部API调用

app/database.py

@@ -1,7 +1,7 @@
 from datetime import datetime
 from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession, async_sessionmaker
 from sqlalchemy.orm import DeclarativeBase
-from sqlalchemy import Column, String, Integer, DateTime, Text, JSON, Index, text
+from sqlalchemy import Column, String, Integer, DateTime, Text, JSON, Index, text, Boolean
 from app.config import settings
 from app.logger import get_logger
 from sqlalchemy.sql.expression import func
@@ -23,6 +23,7 @@ class CallbackFailureLog(Base):
     request_url = Column(String(500), nullable=False, comment="请求URL")
     request_headers = Column(JSON, nullable=False, comment="请求头")
     request_body = Column(JSON, nullable=False, comment="请求体")
+    is_completed = Column(Boolean, default=False, comment="是否已完成")
     created_at = Column(DateTime, default=datetime.now(), comment="创建时间")
 
 

app/routes.py

@@ -1,12 +1,12 @@
 from fastapi import APIRouter, Request, Body, HTTPException, Depends, Path
 from sqlalchemy.ext.asyncio import AsyncSession
-from typing import Optional
 
-from app.database import get_db, CallbackFailureLog, CallbackFailureData
+
+from app.database import get_db, CallbackFailureLog
 from app.models import CallbackResponse
 from app.config import settings
 from app.logger import get_logger
-from app.external_api_processor import process_external_api_call
+from app.celery_tasks import push_data_to_dtc_task
 
 logger = get_logger("routes")
 
@@ -18,8 +18,8 @@ async def log_callback_request(
     request: Request,
     site_id: str,
     callback_data: dict
-) -> tuple[bool, Optional[int]]:
+) -> bool:
-    """记录回调请求到数据库，返回操作是否成功和记录ID"""
+    """记录回调请求到数据库，返回操作是否成功"""
     import json
     
     # 获取客户端IP地址
@@ -82,82 +82,16 @@ async def log_callback_request(
         
         logger.info(f"✅ 回调请求记录成功保存到数据库，ID: {callback_log.id}")
         
-        # 返回成功标识和记录ID
+        # 返回成功标识
-        return True, callback_log.id
+        return True
         
     except Exception as e:
         logger.error(f"❌ 保存回调请求到数据库失败: {e}", exc_info=True)
         # 返回失败标识
-        return False, None
+        return False
+
 
 
-async def save_callback_data_items(
-    db: AsyncSession,
-    callback_data_items: list,
-    callback_failure_log_id: int
-):
-    """保存callback_data.data中的数据到数据库"""
-    import json
-    from datetime import datetime
-    
-    try:
-        callback_data_records = []
-        for item in callback_data_items:
-            # 获取手机号
-            number_data = item.get('number_data', {})
-            phone_number = number_data.get('number')
-            
-            if not phone_number:
-                continue
-            
-            # 获取任务ID
-            task = item.get('task', {})
-            task_id = task.get('id', '')
-            
-            # 获取用户ID
-            user_id = item.get('user_id', '')
-            
-            # 获取状态信息
-            status = item.get('status', 0)
-            status_description = item.get('status_str', '')
-            
-            # 获取通话日期，默认使用当前时间
-            calldate = datetime.now()
-            if 'calldate' in item:
-                try:
-                    # 如果calldate是字符串，尝试解析为datetime
-                    if isinstance(item['calldate'], str):
-                        calldate = datetime.fromisoformat(item['calldate'].replace('Z', '+00:00'))
-                    elif isinstance(item['calldate'], (int, float)):
-                        # 如果是时间戳，转换为datetime
-                        calldate = datetime.fromtimestamp(item['calldate'])
-                except (ValueError, TypeError) as e:
-                    logger.warning(f"⚠️ 解析calldate失败: {item.get('calldate')}, 使用当前时间, 错误: {e}")
-                    calldate = datetime.now()
-            
-            # 将整个item转换为JSON字符串保存
-            raw_data_json = json.dumps(item, ensure_ascii=False)
-            callback_data_record = CallbackFailureData(
-                callback_failure_log_id=callback_failure_log_id,
-                phone_number=phone_number,
-                task_id=task_id,
-                user_id=user_id,  # 保存用户ID
-                status=status,
-                status_description=status_description,
-                raw_data=raw_data_json,  # 保存原始JSON字符串
-                calldate=calldate  # 保存通话日期
-            )
-            callback_data_records.append(callback_data_record)
-        
-        if len(callback_data_records) > 0:
-            db.add_all(callback_data_records)
-            await db.commit()
-        
-        logger.info(f"✅ 成功保存 {len(callback_data_records)} 条callback_data记录到数据库")
-        
-    except Exception as e:
-        logger.error(f"❌ 保存callback_data到数据库失败: {e}", exc_info=True)
-        # 不重新抛出异常，避免影响主业务流程
 
 
 @router.post("/ai-talk/callback/{siteId}/failure", response_model=CallbackResponse)
@@ -172,27 +106,12 @@ async def ai_talk_callback(
     """
     try:
         # 记录回调请求（包含siteId）
-        success, callback_log_id = await log_callback_request(db, request, siteId, callback_data)
+        success = await log_callback_request(db, request, siteId, callback_data)
         
         if not success:
             logger.error("❌ 回调请求日志保存失败")
             raise HTTPException(status_code=500, detail="回调请求日志保存失败")
         
-        if callback_log_id:
-            # 保存callback_data.data中的数据
-            data_list = callback_data.get('data', [])
-            if data_list and len(data_list) > 0:
-                await save_callback_data_items(db, data_list, callback_log_id)
-        
-        # 检查是否启用外部API调用
-        if settings.external_api_enabled:
-            # 异步调用外部接口，不等待结果（只有在成功获取callback_log_id时才调用）
-            if success and callback_log_id:
-                import asyncio
-                asyncio.create_task(process_external_api_call(db, callback_log_id, siteId))
-        else:
-            logger.info(f"🔌 外部API调用已禁用，直接返回成功")
-        
         # 立即返回成功响应
         return CallbackResponse(
             success=True,
@@ -201,7 +120,6 @@ async def ai_talk_callback(
             retry_count=0,
             site_id=siteId
         )
-
     
     except HTTPException:
         raise

celery_worker.py

@@ -0,0 +1,28 @@
+#!/usr/bin/env python3
+"""
+Celery Worker 启动脚本
+"""
+import os
+import sys
+
+# 添加项目根目录到Python路径
+sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+
+from app.celery_app import celery_app
+from app.logger import get_logger
+
+logger = get_logger("celery_worker")
+
+if __name__ == "__main__":
+    logger.info("🌿 启动Celery Worker...")
+    
+    # 启动Celery worker
+    celery_app.start([
+        'worker',
+        '--loglevel=info',
+        '--concurrency=4',
+        '--prefetch-multiplier=1',
+        '--max-tasks-per-child=1000',
+        '--time-limit=300',  # 5分钟任务超时
+        '--soft-time-limit=240',  # 4分钟软超时
+    ])

requirements.txt

@@ -3,6 +3,8 @@ uvicorn[standard]>=0.38.0
 sqlalchemy>=2.0.44
 asyncpg>=0.13.0
 alembic>=1.17.2
+celery>=5.3.0
+redis>=4.5.0
 pydantic>=2.12.5
 pydantic-settings>=2.12.0
 python-multipart>=0.0.20

setup.py

@@ -139,6 +139,7 @@ async def main():
     print("🚀 开始数据库初始化...")
     print(f"📋 配置信息:")
     print(f"   - 数据库URL: {settings.database_url}")
+    print(f"   - Celery Broker URL: {settings.celery_broker_url}")
     print(f"   - 应用名称: {settings.app_name}")
     print(f"   - 外部API URL: {settings.external_api_url}")
     print()
@@ -163,9 +164,11 @@ async def main():
     print("🎉 数据库初始化完成！")
     print("\n📝 下一步:")
     print("   1. 配置 .env 文件中的数据库连接信息")
-    print("   2. 运行应用: python main.py")
+    print("   2. 确保 Redis 服务正在运行（用于Celery）")
-    print(f"   3. 访问API文档: http://localhost:8000/docs")
+    print("   3. 启动 Celery Worker: python celery_worker.py")
-    print(f"   4. 接口地址: POST /ai-talk/callback/{{siteId}}/failure")
+    print("   4. 运行应用: python main.py")
+    print(f"   5. 访问API文档: http://localhost:8000/docs")
+    print(f"   6. 接口地址: POST /ai-talk/callback/{{siteId}}/failure")
 
 
 if __name__ == "__main__":