619 lines
28 KiB
Python
619 lines
28 KiB
Python
"""
|
||
WebSocket 路由：实时对话通信
|
||
支持异步 Agent 调用和 Redis 会话存储
|
||
"""
|
||
import logging
|
||
import uuid
|
||
from datetime import datetime, timezone
|
||
from enum import Enum
|
||
from typing import Dict
|
||
|
||
from fastapi import WebSocket, WebSocketDisconnect, HTTPException
|
||
from starlette.websockets import WebSocketState
|
||
from sqlalchemy import select
|
||
from sqlalchemy.ext.asyncio import AsyncSession
|
||
|
||
from agents import ConversationAgent, MemoryAgent
|
||
from agents.memoir_processor import BackgroundTaskRunner
|
||
from database import get_async_db
|
||
from database.models import Conversation, Segment
|
||
from database.models import User as UserModel
|
||
from services.auth_service import verify_token
|
||
from services.memoir_state_service import get_or_create_state
|
||
from services import asr_service
|
||
from fastapi import HTTPException, status
|
||
|
||
logger = logging.getLogger(__name__)
|
||
|
||
|
||
class MessageType(str, Enum):
|
||
"""WebSocket 消息类型"""
|
||
CONNECT = "connect"
|
||
AUDIO_CHUNK = "audio_chunk"
|
||
AUDIO_MESSAGE = "audio_message" # 完整音频消息（类似微信语音）
|
||
TRANSCRIBE_ONLY = "transcribe_only" # 仅转写，不落库、不触发 Agent，用于「转文字」发送
|
||
TEXT = "text" # 文本消息
|
||
TRANSCRIPT = "transcript" # 语音转文字结果
|
||
AGENT_RESPONSE = "agent_response"
|
||
TTS_AUDIO = "tts_audio"
|
||
END_CONVERSATION = "end_conversation"
|
||
MEMOIR_UPDATE = "memoir_update"
|
||
ERROR = "error"
|
||
|
||
|
||
# 连接管理
|
||
class ConnectionManager:
|
||
"""WebSocket 连接管理器"""
|
||
|
||
def __init__(self):
|
||
self.active_connections: Dict[str, WebSocket] = {}
|
||
# ConversationAgent 现在是无状态的（会话存储在 Redis），可以复用
|
||
self.conversation_agent = ConversationAgent()
|
||
self.memory_agent = MemoryAgent()
|
||
self.background_runner = BackgroundTaskRunner()
|
||
|
||
async def connect(self, websocket: WebSocket, conversation_id: str):
|
||
"""建立连接"""
|
||
await websocket.accept()
|
||
self.active_connections[conversation_id] = websocket
|
||
|
||
async def disconnect(self, conversation_id: str):
|
||
"""断开连接"""
|
||
if conversation_id in self.active_connections:
|
||
del self.active_connections[conversation_id]
|
||
# 清除 Redis 中的会话记忆（可选，也可以保留用于恢复）
|
||
# await self.conversation_agent.clear_memory(conversation_id)
|
||
|
||
async def send_message(self, conversation_id: str, message: dict):
|
||
"""发送消息"""
|
||
if conversation_id in self.active_connections:
|
||
websocket = self.active_connections[conversation_id]
|
||
try:
|
||
# 尝试发送消息，如果连接已关闭会抛出异常
|
||
await websocket.send_json(message)
|
||
except (RuntimeError, Exception) as e:
|
||
logger.warning(f"发送消息失败 (conversation_id={conversation_id}): {e}")
|
||
# 如果发送失败，从连接列表中移除
|
||
if conversation_id in self.active_connections:
|
||
del self.active_connections[conversation_id]
|
||
|
||
async def receive_message(self, conversation_id: str) -> dict:
|
||
"""接收消息"""
|
||
if conversation_id in self.active_connections:
|
||
websocket = self.active_connections[conversation_id]
|
||
return await websocket.receive_json()
|
||
raise HTTPException(status_code=404, detail="Connection not found")
|
||
|
||
|
||
manager = ConnectionManager()
|
||
|
||
|
||
async def websocket_endpoint(
|
||
websocket: WebSocket,
|
||
conversation_id: str
|
||
):
|
||
"""
|
||
WebSocket 端点：处理实时对话
|
||
|
||
Args:
|
||
websocket: WebSocket 连接
|
||
conversation_id: 对话 ID
|
||
"""
|
||
# 从查询参数获取token
|
||
token = websocket.query_params.get("token")
|
||
if not token:
|
||
await websocket.close(code=status.WS_1008_POLICY_VIOLATION, reason="缺少访问令牌")
|
||
return
|
||
|
||
# 验证JWT令牌
|
||
payload = verify_token(token)
|
||
if not payload or payload.get("type") != "access":
|
||
await websocket.close(code=status.WS_1008_POLICY_VIOLATION, reason="无效的认证令牌")
|
||
return
|
||
|
||
user_id = payload.get("sub")
|
||
if not user_id:
|
||
await websocket.close(code=status.WS_1008_POLICY_VIOLATION, reason="无效的令牌内容")
|
||
return
|
||
|
||
# 验证用户是否存在
|
||
async for db in get_async_db():
|
||
user = await db.get(UserModel, user_id)
|
||
if not user:
|
||
await websocket.close(code=status.WS_1008_POLICY_VIOLATION, reason="用户不存在")
|
||
return
|
||
|
||
await manager.connect(websocket, conversation_id)
|
||
|
||
try:
|
||
# 发送连接确认
|
||
await manager.send_message(conversation_id, {
|
||
"type": MessageType.CONNECT,
|
||
"conversation_id": conversation_id,
|
||
"data": {"status": "connected"},
|
||
"timestamp": datetime.now(timezone.utc).isoformat()
|
||
})
|
||
|
||
# 从数据库获取对话信息
|
||
conversation = await db.get(Conversation, conversation_id)
|
||
if not conversation:
|
||
# 如果对话不存在，创建新对话
|
||
conversation = Conversation(
|
||
id=conversation_id,
|
||
user_id=user_id,
|
||
started_at=datetime.now(timezone.utc),
|
||
status="active"
|
||
)
|
||
db.add(conversation)
|
||
await db.commit()
|
||
else:
|
||
# 验证用户权限：只能访问自己的对话
|
||
if conversation.user_id != user_id:
|
||
try:
|
||
await manager.send_message(conversation_id, {
|
||
"type": MessageType.ERROR,
|
||
"data": {"message": "无权访问此对话"},
|
||
"timestamp": datetime.now(timezone.utc).isoformat()
|
||
})
|
||
except Exception:
|
||
pass # 如果发送失败，直接关闭连接
|
||
await websocket.close(code=status.WS_1008_POLICY_VIOLATION, reason="无权访问此对话")
|
||
return
|
||
|
||
|
||
# 首次连接时检查资料完整性，发送资料收集开场白
|
||
missing_profile = _get_missing_profile_fields(user)
|
||
if missing_profile:
|
||
try:
|
||
greetings = await manager.conversation_agent.generate_profile_greeting(
|
||
conversation_id=conversation_id,
|
||
missing_fields=missing_profile,
|
||
nickname=user.nickname or "",
|
||
)
|
||
import asyncio as _asyncio_greet
|
||
for i, text in enumerate(greetings):
|
||
await manager.send_message(conversation_id, {
|
||
"type": MessageType.AGENT_RESPONSE,
|
||
"conversation_id": conversation_id,
|
||
"data": {"text": text, "index": i, "total": len(greetings)},
|
||
"timestamp": datetime.now(timezone.utc).isoformat()
|
||
})
|
||
if i < len(greetings) - 1:
|
||
await _asyncio_greet.sleep(0.5)
|
||
except Exception as e:
|
||
logger.error(f"发送资料收集开场白失败: {e}", exc_info=True)
|
||
|
||
# 主循环：处理消息
|
||
while True:
|
||
try:
|
||
if websocket.application_state != WebSocketState.CONNECTED:
|
||
logger.info(f"WebSocket 已非连接状态，退出循环: conversation_id={conversation_id}")
|
||
break
|
||
message = await websocket.receive_json()
|
||
msg_type = message.get("type")
|
||
|
||
if msg_type == MessageType.TEXT:
|
||
# 处理文本消息
|
||
text_message = message.get("data", {}).get("text", "")
|
||
|
||
if text_message:
|
||
# 校验对话轮数配额
|
||
from routers.quota import get_segment_count, check_can_send_message
|
||
seg_count = await get_segment_count(user_id, db)
|
||
can_send, quota_msg = check_can_send_message(user.subscription_type, seg_count)
|
||
if not can_send:
|
||
await manager.send_message(conversation_id, {
|
||
"type": MessageType.ERROR,
|
||
"data": {"message": quota_msg, "code": "QUOTA_EXCEEDED"},
|
||
"timestamp": datetime.now(timezone.utc).isoformat()
|
||
})
|
||
continue
|
||
|
||
# 保存段落到数据库
|
||
segment = Segment(
|
||
id=str(uuid.uuid4()),
|
||
conversation_id=conversation_id,
|
||
transcript_text=text_message,
|
||
processed=False
|
||
)
|
||
db.add(segment)
|
||
await db.commit()
|
||
await db.refresh(segment)
|
||
await manager.background_runner.queue_message(conversation.user_id, segment.id)
|
||
|
||
# Agent 生成回应
|
||
await process_user_message(
|
||
conversation_id=conversation_id,
|
||
user_message=text_message,
|
||
conversation=conversation,
|
||
segment=segment,
|
||
db=db,
|
||
manager=manager,
|
||
user=user,
|
||
)
|
||
|
||
elif msg_type == MessageType.AUDIO_MESSAGE:
|
||
# 处理完整音频消息（类似微信语音）
|
||
data = message.get("data", {})
|
||
audio_base64 = data.get("audio_base64", "")
|
||
audio_duration = data.get("duration", 0)
|
||
|
||
if audio_base64:
|
||
# 校验对话轮数配额
|
||
from routers.quota import get_segment_count, check_can_send_message
|
||
seg_count = await get_segment_count(user_id, db)
|
||
can_send, quota_msg = check_can_send_message(user.subscription_type, seg_count)
|
||
if not can_send:
|
||
await manager.send_message(conversation_id, {
|
||
"type": MessageType.ERROR,
|
||
"data": {"message": quota_msg, "code": "QUOTA_EXCEEDED"},
|
||
"timestamp": datetime.now(timezone.utc).isoformat()
|
||
})
|
||
continue
|
||
|
||
logger.info(f"收到音频消息，时长: {audio_duration}s")
|
||
|
||
try:
|
||
# 1. ASR 转写
|
||
transcript_text = await asr_service.transcribe(audio_base64)
|
||
logger.info(f"ASR 转写结果: {transcript_text}")
|
||
|
||
# 2. 发送转写结果给客户端
|
||
await manager.send_message(conversation_id, {
|
||
"type": MessageType.TRANSCRIPT,
|
||
"conversation_id": conversation_id,
|
||
"data": {
|
||
"text": transcript_text,
|
||
"audio_duration": audio_duration
|
||
},
|
||
"timestamp": datetime.now(timezone.utc).isoformat()
|
||
})
|
||
|
||
# 3. 保存段落到数据库（包含转写文本和音频信息）
|
||
segment = Segment(
|
||
id=str(uuid.uuid4()),
|
||
conversation_id=conversation_id,
|
||
transcript_text=transcript_text,
|
||
audio_url=f"audio:{audio_duration}s", # 简化存储，标记为音频消息
|
||
processed=False
|
||
)
|
||
db.add(segment)
|
||
await db.commit()
|
||
await db.refresh(segment)
|
||
await manager.background_runner.queue_message(conversation.user_id, segment.id)
|
||
|
||
# 4. Agent 生成回应（基于转写文本）
|
||
if transcript_text and not transcript_text.startswith("转写失败"):
|
||
await process_user_message(
|
||
conversation_id=conversation_id,
|
||
user_message=transcript_text,
|
||
conversation=conversation,
|
||
segment=segment,
|
||
db=db,
|
||
manager=manager,
|
||
user=user,
|
||
)
|
||
else:
|
||
# 转写失败，发送错误消息
|
||
await manager.send_message(conversation_id, {
|
||
"type": MessageType.ERROR,
|
||
"data": {"message": "语音转写失败，请重试或使用文字输入"},
|
||
"timestamp": datetime.now(timezone.utc).isoformat()
|
||
})
|
||
|
||
except Exception as e:
|
||
logger.error(f"处理音频消息失败: {e}", exc_info=True)
|
||
await manager.send_message(conversation_id, {
|
||
"type": MessageType.ERROR,
|
||
"data": {"message": f"处理音频消息失败: {str(e)}"},
|
||
"timestamp": datetime.now(timezone.utc).isoformat()
|
||
})
|
||
|
||
elif msg_type == MessageType.TRANSCRIBE_ONLY:
|
||
# 仅转写：不落库、不触发 Agent，用于客户端「转文字」后发文本
|
||
data = message.get("data", {})
|
||
audio_base64 = data.get("audio_base64", "")
|
||
if not audio_base64:
|
||
await manager.send_message(conversation_id, {
|
||
"type": MessageType.ERROR,
|
||
"data": {"message": "缺少 audio_base64"},
|
||
"timestamp": datetime.now(timezone.utc).isoformat()
|
||
})
|
||
continue
|
||
try:
|
||
transcript_text = await asr_service.transcribe(audio_base64)
|
||
await manager.send_message(conversation_id, {
|
||
"type": MessageType.TRANSCRIPT,
|
||
"conversation_id": conversation_id,
|
||
"data": {"text": transcript_text or ""},
|
||
"timestamp": datetime.now(timezone.utc).isoformat()
|
||
})
|
||
except Exception as e:
|
||
logger.error(f"仅转写失败: {e}", exc_info=True)
|
||
await manager.send_message(conversation_id, {
|
||
"type": MessageType.ERROR,
|
||
"data": {"message": f"转写失败: {str(e)}"},
|
||
"timestamp": datetime.now(timezone.utc).isoformat()
|
||
})
|
||
|
||
elif msg_type == MessageType.END_CONVERSATION:
|
||
# 结束对话
|
||
conversation.status = "ended"
|
||
conversation.ended_at = datetime.now(timezone.utc)
|
||
await db.commit()
|
||
|
||
# 触发整理 Agent
|
||
await process_conversation_segments(conversation_id, db)
|
||
|
||
await manager.send_message(conversation_id, {
|
||
"type": MessageType.END_CONVERSATION,
|
||
"conversation_id": conversation_id,
|
||
"data": {"status": "ended"},
|
||
"timestamp": datetime.now(timezone.utc).isoformat()
|
||
})
|
||
break
|
||
|
||
except RuntimeError as e:
|
||
# 检查是否是断开连接或未连接状态（如 accept 前/后连接被关闭）
|
||
error_msg = str(e)
|
||
if (
|
||
"disconnect" in error_msg.lower()
|
||
or "Cannot call \"receive\"" in error_msg
|
||
or "accept" in error_msg.lower() and "not connected" in error_msg.lower()
|
||
):
|
||
logger.info(f"WebSocket 连接已断开或未就绪: conversation_id={conversation_id}, error={error_msg}")
|
||
break
|
||
else:
|
||
logger.error(f"处理消息时发生 RuntimeError: {e}", exc_info=True)
|
||
# 只在连接仍然活跃时发送错误消息
|
||
if conversation_id in manager.active_connections:
|
||
try:
|
||
await manager.send_message(conversation_id, {
|
||
"type": MessageType.ERROR,
|
||
"data": {"message": str(e)},
|
||
"timestamp": datetime.now(timezone.utc).isoformat()
|
||
})
|
||
except Exception as send_error:
|
||
logger.warning(f"发送错误消息失败: {send_error}")
|
||
break
|
||
except WebSocketDisconnect:
|
||
logger.info(f"WebSocket 断开连接: conversation_id={conversation_id}")
|
||
break
|
||
except Exception as e:
|
||
logger.error(f"处理消息时发生错误: {e}", exc_info=True)
|
||
# 只在连接仍然活跃时发送错误消息
|
||
if conversation_id in manager.active_connections:
|
||
try:
|
||
await manager.send_message(conversation_id, {
|
||
"type": MessageType.ERROR,
|
||
"data": {"message": str(e)},
|
||
"timestamp": datetime.now(timezone.utc).isoformat()
|
||
})
|
||
except Exception as send_error:
|
||
logger.warning(f"发送错误消息失败: {send_error}")
|
||
break
|
||
|
||
except WebSocketDisconnect:
|
||
logger.info(f"WebSocket 断开连接: conversation_id={conversation_id}")
|
||
await manager.disconnect(conversation_id)
|
||
except Exception as e:
|
||
logger.error(f"WebSocket 端点发生错误: {e}", exc_info=True)
|
||
await manager.disconnect(conversation_id)
|
||
finally:
|
||
# 确保清理连接
|
||
await manager.disconnect(conversation_id)
|
||
|
||
|
||
def _get_missing_profile_fields(user: UserModel) -> list:
|
||
"""检查用户缺失的资料字段"""
|
||
from agents.prompts.profile_prompts import get_missing_profile_fields
|
||
return get_missing_profile_fields(
|
||
birth_year=user.birth_year,
|
||
birth_place=user.birth_place,
|
||
grew_up_place=user.grew_up_place,
|
||
occupation=user.occupation,
|
||
)
|
||
|
||
|
||
def _get_filled_profile_fields(user: UserModel) -> dict:
|
||
"""获取用户已有的资料字段（中文展示）"""
|
||
from agents.prompts.profile_prompts import PROFILE_FIELD_NAMES
|
||
filled = {}
|
||
if user.birth_year:
|
||
filled["birth_year"] = str(user.birth_year)
|
||
if user.birth_place:
|
||
filled["birth_place"] = user.birth_place
|
||
if user.grew_up_place:
|
||
filled["grew_up_place"] = user.grew_up_place
|
||
if user.occupation:
|
||
filled["occupation"] = user.occupation
|
||
return filled
|
||
|
||
|
||
async def _apply_extracted_profile(user: UserModel, extracted: dict, db: AsyncSession):
|
||
"""将提取到的资料信息保存到用户模型"""
|
||
changed = False
|
||
if "birth_year" in extracted and not user.birth_year:
|
||
user.birth_year = extracted["birth_year"]
|
||
changed = True
|
||
if "birth_place" in extracted and not user.birth_place:
|
||
user.birth_place = extracted["birth_place"]
|
||
changed = True
|
||
if "grew_up_place" in extracted and not user.grew_up_place:
|
||
user.grew_up_place = extracted["grew_up_place"]
|
||
changed = True
|
||
if "occupation" in extracted and not user.occupation:
|
||
user.occupation = extracted["occupation"]
|
||
changed = True
|
||
if changed:
|
||
await db.commit()
|
||
await db.refresh(user)
|
||
|
||
|
||
async def process_user_message(
|
||
conversation_id: str,
|
||
user_message: str,
|
||
conversation: Conversation,
|
||
segment: Segment,
|
||
db: AsyncSession,
|
||
manager: ConnectionManager,
|
||
user: UserModel = None,
|
||
) -> None:
|
||
"""
|
||
处理用户消息，生成Agent回应（异步版本）
|
||
支持资料收集模式和正式访谈模式
|
||
"""
|
||
import asyncio as _asyncio
|
||
|
||
agent = manager.conversation_agent
|
||
|
||
# --- 资料收集模式 ---
|
||
if user:
|
||
missing = _get_missing_profile_fields(user)
|
||
if missing:
|
||
try:
|
||
extracted = await agent.extract_profile_from_message(user_message, missing)
|
||
if extracted:
|
||
await _apply_extracted_profile(user, extracted, db)
|
||
|
||
remaining = _get_missing_profile_fields(user)
|
||
filled = _get_filled_profile_fields(user)
|
||
responses = await agent.generate_profile_followup(
|
||
conversation_id=conversation_id,
|
||
user_message=user_message,
|
||
missing_fields=remaining,
|
||
filled_fields=filled,
|
||
nickname=user.nickname or "",
|
||
)
|
||
|
||
segment.agent_response = "\n\n".join(responses)
|
||
await db.commit()
|
||
|
||
for i, response_text in enumerate(responses):
|
||
await manager.send_message(conversation_id, {
|
||
"type": MessageType.AGENT_RESPONSE,
|
||
"conversation_id": conversation_id,
|
||
"data": {"text": response_text, "index": i, "total": len(responses)},
|
||
"timestamp": datetime.now(timezone.utc).isoformat()
|
||
})
|
||
if i < len(responses) - 1:
|
||
await _asyncio.sleep(0.5)
|
||
return
|
||
except Exception as e:
|
||
logger.error(f"资料收集处理失败: {e}", exc_info=True)
|
||
|
||
# --- 正式访谈模式 ---
|
||
state = await get_or_create_state(conversation.user_id, db)
|
||
|
||
if conversation.conversation_stage != state.current_stage:
|
||
conversation.conversation_stage = state.current_stage
|
||
await db.commit()
|
||
|
||
stmt_segments = select(Segment).where(
|
||
Segment.conversation_id == conversation_id
|
||
).order_by(Segment.created_at)
|
||
result_segments = await db.execute(stmt_segments)
|
||
previous_segments = result_segments.scalars().all()
|
||
covered_topics = [seg.topic_category for seg in previous_segments if seg.topic_category]
|
||
|
||
# 构建用户资料上下文
|
||
user_profile_context = ""
|
||
if user:
|
||
from agents.prompts.profile_prompts import format_user_profile_context
|
||
user_profile_context = format_user_profile_context(
|
||
birth_year=user.birth_year,
|
||
birth_place=user.birth_place,
|
||
grew_up_place=user.grew_up_place,
|
||
occupation=user.occupation,
|
||
)
|
||
|
||
try:
|
||
responses = await agent.generate_response_with_state(
|
||
conversation_id=conversation_id,
|
||
user_message=user_message,
|
||
memoir_state=state,
|
||
user_profile_context=user_profile_context,
|
||
)
|
||
|
||
segment.agent_response = "\n\n".join(responses)
|
||
await db.commit()
|
||
|
||
for i, response_text in enumerate(responses):
|
||
await manager.send_message(conversation_id, {
|
||
"type": MessageType.AGENT_RESPONSE,
|
||
"conversation_id": conversation_id,
|
||
"data": {"text": response_text, "index": i, "total": len(responses)},
|
||
"timestamp": datetime.now(timezone.utc).isoformat()
|
||
})
|
||
if i < len(responses) - 1:
|
||
await _asyncio.sleep(0.5)
|
||
|
||
except Exception as e:
|
||
logger.error(f"处理用户消息失败: {e}", exc_info=True)
|
||
if conversation_id in manager.active_connections:
|
||
try:
|
||
await manager.send_message(conversation_id, {
|
||
"type": MessageType.ERROR,
|
||
"data": {"message": f"生成回应失败: {str(e)}"},
|
||
"timestamp": datetime.now(timezone.utc).isoformat()
|
||
})
|
||
except Exception as send_error:
|
||
logger.warning(f"发送错误消息失败: {send_error}")
|
||
|
||
|
||
async def process_conversation_segments(conversation_id: str, db: AsyncSession):
|
||
"""
|
||
处理对话段落，生成章节（对话结束时调用）
|
||
|
||
注意：大部分处理已通过 Celery 任务增量完成
|
||
这里立即提交所有待处理的段落到 Celery
|
||
|
||
Args:
|
||
conversation_id: 对话 ID
|
||
db: 数据库会话
|
||
"""
|
||
# 获取对话信息
|
||
conversation = await db.get(Conversation, conversation_id)
|
||
if not conversation:
|
||
return
|
||
|
||
# 获取所有未处理的段落
|
||
stmt = select(Segment).where(
|
||
Segment.conversation_id == conversation_id,
|
||
Segment.processed == False
|
||
)
|
||
result = await db.execute(stmt)
|
||
segments = result.scalars().all()
|
||
|
||
if not segments:
|
||
# 没有未处理的段落，直接 flush 待处理任务
|
||
await manager.background_runner.flush_pending(conversation.user_id)
|
||
return
|
||
|
||
# 免费版仅允许 1 个章节整理，提交前校验
|
||
from database.models import User as UserModel
|
||
from routers.quota import get_chapter_count, check_can_submit_organize
|
||
user = await db.get(UserModel, conversation.user_id)
|
||
if user:
|
||
chapter_count = await get_chapter_count(user.id, db)
|
||
can_submit, _ = check_can_submit_organize(user.subscription_type, chapter_count)
|
||
if not can_submit:
|
||
logger.info(
|
||
f"用户 {user.id} 章节配额已用尽，跳过提交整理任务: conversation_id={conversation_id}"
|
||
)
|
||
await manager.background_runner.flush_pending(conversation.user_id)
|
||
return
|
||
|
||
# 将未处理的段落直接提交到 Celery（不通过去抖）
|
||
segment_ids = [seg.id for seg in segments]
|
||
try:
|
||
from tasks.memoir_tasks import process_memoir_segments
|
||
process_memoir_segments.delay(conversation.user_id, segment_ids)
|
||
logger.info(f"对话结束，提交 Celery 任务: conversation_id={conversation_id}, segments={len(segment_ids)}")
|
||
except Exception as e:
|
||
logger.error(f"提交 Celery 任务失败: {e}")
|
||
|
||
# 同时 flush 任何待处理的任务
|
||
await manager.background_runner.flush_pending(conversation.user_id)
|
||
|