修复一些已知问题
This commit is contained in:
14
api/app/agents/chat/agent_turn.py
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14
api/app/agents/chat/agent_turn.py
Normal file
@@ -0,0 +1,14 @@
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"""一轮 AI 对话输出:分段文案 + 是否整轮跳过 TTS(如失败兜底)。"""
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from __future__ import annotations
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from dataclasses import dataclass
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from typing import List
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@dataclass(frozen=True)
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class AgentChatTurn:
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"""与 WebSocket pipeline 对齐:messages 为气泡分段;skip_tts 为 True 时不合成语音。"""
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messages: List[str]
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skip_tts: bool = False
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@@ -6,6 +6,7 @@
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from datetime import datetime
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from typing import Any, Dict, List, Optional
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from app.agents.chat.agent_turn import AgentChatTurn
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from app.agents.chat.orchestrator import ChatOrchestrator
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from app.agents.chat.prompts_conversation import ConversationStage
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from app.agents.state_schema import MemoirStateSchema
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@@ -77,7 +78,7 @@ class ConversationAgent:
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voice_session_id: str | None = None,
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user_message_timestamp: datetime | None = None,
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audio_duration_seconds: int | None = None,
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) -> List[str]:
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) -> AgentChatTurn:
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"""委托 ChatOrchestrator/InterviewAgent 生成访谈回复"""
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return await self._orchestrator.generate_response_with_state(
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conversation_id=conversation_id,
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@@ -116,13 +117,13 @@ class ConversationAgent:
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state = default_state()
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state.current_stage = (current_stage or ConversationStage.CHILDHOOD).value
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state.covered_stages = covered_topics or []
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responses = await self._orchestrator.generate_response_with_state(
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turn = await self._orchestrator.generate_response_with_state(
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conversation_id=conversation_id,
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user_message=user_message,
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memoir_state=state,
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user_profile_context="",
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)
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return responses[0] if responses else ""
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return turn.messages[0] if turn.messages else ""
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def detect_stage(
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self, conversation_id: str, user_message: str
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@@ -5,6 +5,7 @@ InterviewAgent:正式访谈 Specialist
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from typing import Any, List
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from app.agents.chat.agent_turn import AgentChatTurn
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from app.core.dependencies import get_llm_provider
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from app.core.logging import get_logger
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@@ -18,6 +19,9 @@ from app.agents.state_schema import MemoirStateSchema
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logger = get_logger(__name__)
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# LLM 不可用或调用失败时对用户展示(不暴露异常细节、不触发 TTS)
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_FALLBACK_REPLY = "刚才网络不太稳,没接上。你可以再说一遍,或稍后再试。"
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def _get_langchain_llm():
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try:
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@@ -149,12 +153,11 @@ class InterviewAgent:
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user_message: str,
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memoir_state: MemoirStateSchema,
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user_profile_context: str = "",
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) -> List[str]:
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) -> AgentChatTurn:
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"""生成状态感知的访谈回复,不持久化(由 Orchestrator 负责)"""
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if not self.llm:
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return [
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"抱歉,LLM 服务未配置。请设置 DEEPSEEK_API_KEY 或 LLM_API_KEY 环境变量。"
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]
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logger.warning("InterviewAgent: LLM 未配置,返回兜底文案")
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return AgentChatTurn(messages=[_FALLBACK_REPLY], skip_tts=True)
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try:
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empty_slots = memoir_state.empty_slots_for_current_stage()
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filled_slots = {
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@@ -191,10 +194,11 @@ class InterviewAgent:
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messages = [
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msg.strip() for msg in response_text.split("[SPLIT]") if msg.strip()
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]
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return messages[:3] if messages else [response_text]
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out = messages[:3] if messages else [response_text]
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return AgentChatTurn(messages=out, skip_tts=False)
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except Exception as e:
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logger.error("生成回应失败: %s", e)
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return [f"抱歉,生成回应时出现错误: {str(e)}"]
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logger.error("生成回应失败: %s", e, exc_info=True)
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return AgentChatTurn(messages=[_FALLBACK_REPLY], skip_tts=True)
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async def generate_opening_message(
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self,
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@@ -8,6 +8,7 @@ from typing import TYPE_CHECKING, List, Optional
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.agents.chat.agent_turn import AgentChatTurn
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from app.agents.chat.helpers import save_message
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from app.agents.chat.interview_agent import InterviewAgent
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from app.agents.chat.profile_agent import ProfileAgent
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@@ -20,6 +21,10 @@ if TYPE_CHECKING:
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logger = get_logger(__name__)
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_UNAUTH_TURN = AgentChatTurn(
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messages=["暂时没法继续对话,请先登录后再试。"], skip_tts=True
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)
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class ChatOrchestrator:
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"""
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@@ -45,9 +50,9 @@ class ChatOrchestrator:
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get_filled_profile_fields_fn,
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user_message_timestamp: Optional[datetime] = None,
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audio_duration_seconds: Optional[int] = None,
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) -> List[str]:
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) -> AgentChatTurn:
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"""
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处理用户消息,返回 AI 回复列表。
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处理用户消息,返回 AI 回复(分段 + 是否跳过 TTS)。
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根据 missing_fields 路由到 ProfileAgent 或 InterviewAgent,
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统一写入 Redis。
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"""
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@@ -81,14 +86,14 @@ class ChatOrchestrator:
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user_message_timestamp=user_message_timestamp,
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audio_duration_seconds=audio_duration_seconds,
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)
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return responses
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return AgentChatTurn(messages=responses, skip_tts=False)
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except Exception as e:
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logger.error(f"资料收集处理失败: {e}", exc_info=True)
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# --- 正式访谈模式 ---
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user_id = user.id if user else None
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if not user_id:
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return ["抱歉,无法识别用户。"]
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return _UNAUTH_TURN
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state = await get_or_create_state(user_id, db)
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if conversation and conversation.conversation_stage != state.current_stage:
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@@ -106,7 +111,7 @@ class ChatOrchestrator:
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occupation=user.occupation,
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)
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responses = await self.interview_agent.generate_response_with_state(
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turn = await self.interview_agent.generate_response_with_state(
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conversation_id=conversation_id,
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user_message=user_message,
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memoir_state=state,
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@@ -115,13 +120,13 @@ class ChatOrchestrator:
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await self._save_messages(
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conversation_id=conversation_id,
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user_message=user_message,
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response_text="\n\n".join(responses),
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response_text="\n\n".join(turn.messages),
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is_from_voice=is_from_voice,
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voice_session_id=voice_session_id,
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user_message_timestamp=user_message_timestamp,
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audio_duration_seconds=audio_duration_seconds,
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)
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return responses
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return turn
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async def _save_messages(
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self,
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@@ -222,15 +227,15 @@ class ChatOrchestrator:
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voice_session_id: str | None = None,
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user_message_timestamp: datetime | None = None,
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audio_duration_seconds: int | None = None,
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) -> List[str]:
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) -> AgentChatTurn:
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"""委托 InterviewAgent 生成访谈回复,并写入 Redis"""
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responses = await self.interview_agent.generate_response_with_state(
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turn = await self.interview_agent.generate_response_with_state(
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conversation_id=conversation_id,
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user_message=user_message,
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memoir_state=memoir_state,
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user_profile_context=user_profile_context,
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)
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response_text = "\n\n".join(responses)
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response_text = "\n\n".join(turn.messages)
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await self._save_messages(
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conversation_id=conversation_id,
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user_message=user_message,
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@@ -240,7 +245,7 @@ class ChatOrchestrator:
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user_message_timestamp=user_message_timestamp,
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audio_duration_seconds=audio_duration_seconds,
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)
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return responses
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return turn
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def detect_user_stage(self, user_message: str) -> str:
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"""委托 InterviewAgent 检测用户阶段"""
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@@ -539,7 +539,7 @@ async def process_user_message(
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is_from_voice = bool(segment.audio_url)
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voice_session_id = _voice_session_id_from_audio_url(segment.audio_url)
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audio_dur = getattr(segment, "audio_duration_seconds", None)
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responses = await chat_orchestrator.process_user_message(
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turn = await chat_orchestrator.process_user_message(
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conversation_id=conversation_id,
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user_message=user_message,
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user=user,
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@@ -553,6 +553,8 @@ async def process_user_message(
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user_message_timestamp=user_message_timestamp,
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audio_duration_seconds=audio_dur,
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)
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responses = turn.messages
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skip_tts = turn.skip_tts
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segment.agent_response = "\n\n".join(responses)
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_mark_conversation_active(conversation)
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@@ -574,12 +576,14 @@ async def process_user_message(
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"timestamp": datetime.now(timezone.utc).isoformat(),
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},
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)
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url = await _send_tts_audio(
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conversation_id,
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response_text,
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chunk_index=i,
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chunk_total=n,
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)
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url = None
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if not skip_tts:
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url = await _send_tts_audio(
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conversation_id,
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response_text,
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chunk_index=i,
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chunk_total=n,
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)
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if url:
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tts_urls.append(url)
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if i < n - 1:
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@@ -13,6 +13,7 @@ _PLACEHOLDER_RE = re.compile(
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)
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_ASSET_REF_RE = re.compile(r"!\[([^\]]*)\]\(asset://([a-zA-Z0-9_-]+)\)")
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_BLANK_RUN_RE = re.compile(r"\n{3,}")
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def strip_legacy_image_placeholders(text: str | None) -> str:
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@@ -33,6 +34,19 @@ def collect_asset_ids_from_markdown(markdown: str) -> list[str]:
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return [m.group(2) for m in _ASSET_REF_RE.finditer(markdown or "") if m.group(2)]
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def strip_asset_image_refs_from_markdown(markdown: str | None) -> str:
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"""Remove all `` references; collapse blank lines.
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Used for story single-primary policy: new versions / backfill must not
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accumulate multiple inline asset images.
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"""
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if not markdown or not str(markdown).strip():
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return ""
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text = _ASSET_REF_RE.sub("", markdown or "")
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text = _BLANK_RUN_RE.sub("\n\n", text)
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return text.strip()
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def collect_asset_ids_for_chapter(chapter) -> set[str]:
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"""章节正文 canonical、收录的各 story 正文、cover_asset_id 中的 asset id。"""
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ids: set[str] = set()
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@@ -3,6 +3,9 @@ Story 图片回填 — 将 asset:// 引用追加到 markdown 末尾。
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图片生成成功后,在正文最后插入 。
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alt 使用原始 prompt 短文(prompt_brief),而非模板拼接后的完整出图 prompt。
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单主图策略:Celery 任务在调用本函数前会先 strip 正文中已有 asset:// 插图,
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避免与旧版本快照叠加多条引用。
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"""
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@@ -11,6 +11,7 @@ from datetime import datetime, timezone
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.core.logging import get_logger
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from app.features.memoir.asset_resolver import strip_asset_image_refs_from_markdown
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from app.features.memoir import repo as memoir_repo
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from app.features.story.image_intent_extractor import extract_primary_image_intent
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from app.features.story.repo import (
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@@ -105,6 +106,7 @@ class StoryService:
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canonical_markdown: str | None = None,
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) -> str:
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"""Create story, commit, return story_id."""
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md = strip_asset_image_refs_from_markdown(canonical_markdown or "")
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story = await create_story(
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self._db,
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user_id=user_id,
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@@ -112,15 +114,15 @@ class StoryService:
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stage=stage,
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story_type=story_type,
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summary=summary,
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canonical_markdown=canonical_markdown or "",
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canonical_markdown=md,
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)
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await self._db.flush()
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if canonical_markdown:
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if md.strip():
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version = await create_story_version(
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self._db,
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story_id=story.id,
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version_no=1,
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markdown_snapshot=canonical_markdown,
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markdown_snapshot=md,
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actor_type="ai",
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source_type="generate",
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)
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@@ -130,12 +132,12 @@ class StoryService:
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self._db,
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story=story,
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version=version,
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markdown=canonical_markdown,
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markdown=md,
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)
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if canonical_markdown:
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if md.strip():
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await memoir_repo.mark_chapters_dirty_for_story(self._db, story.id)
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await self._db.commit()
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if canonical_markdown:
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if md.strip():
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from app.tasks.chapter_compose_tasks import recompose_chapters_for_story
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from app.tasks.story_image_tasks import generate_story_image
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@@ -163,13 +165,14 @@ class StoryService:
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story = await get_story_by_id(self._db, story_id)
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if not story:
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raise ValueError(f"Story {story_id} not found")
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md = strip_asset_image_refs_from_markdown(markdown_snapshot or "")
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parent_id = story.current_version_id
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version_no = (await count_story_versions(self._db, story_id)) + 1
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version = await create_story_version(
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self._db,
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story_id=story_id,
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version_no=version_no,
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markdown_snapshot=markdown_snapshot,
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markdown_snapshot=md,
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actor_type=actor_type,
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source_type=source_type,
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parent_version_id=parent_id,
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@@ -177,12 +180,12 @@ class StoryService:
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)
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version.change_summary = change_summary
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story.current_version_id = version.id
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story.canonical_markdown = markdown_snapshot
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story.canonical_markdown = md
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await _extract_and_store_image_intent(
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self._db,
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story=story,
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version=version,
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markdown=markdown_snapshot,
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markdown=md,
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)
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await memoir_repo.mark_chapters_dirty_for_story(self._db, story_id)
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await self._db.commit()
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@@ -14,6 +14,7 @@ from sqlalchemy.orm import Session, joinedload
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from app.core.db import utc_now
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from app.core.logging import get_logger
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from app.features.memoir.asset_resolver import strip_asset_image_refs_from_markdown
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from app.features.memoir.models import ChapterStoryLink
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from app.features.memoir import repo as memoir_repo
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from app.features.story.image_intent_extractor import extract_primary_image_intent
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@@ -114,12 +115,13 @@ def create_story_with_version_sync(
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canonical_markdown: str,
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stage: str | None = None,
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) -> Story:
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md = strip_asset_image_refs_from_markdown(canonical_markdown or "")
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story = Story(
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id=str(uuid.uuid4()),
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user_id=user_id,
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title=title,
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stage=stage,
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canonical_markdown=canonical_markdown or "",
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canonical_markdown=md,
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)
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session.add(story)
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session.flush()
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@@ -128,16 +130,16 @@ def create_story_with_version_sync(
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id=vid,
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story_id=story.id,
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version_no=1,
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markdown_snapshot=canonical_markdown or "",
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markdown_snapshot=md,
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actor_type="ai",
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source_type="generate",
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)
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session.add(version)
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session.flush()
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story.current_version_id = vid
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if (canonical_markdown or "").strip():
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if md.strip():
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_extract_and_store_image_intent_sync(
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session, story=story, version=version, markdown=canonical_markdown
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session, story=story, version=version, markdown=md
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)
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memoir_repo.mark_chapters_dirty_for_story_sync(session, story.id)
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return story
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@@ -154,6 +156,7 @@ def append_story_version_sync(
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story = session.get(Story, story_id)
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if not story:
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raise ValueError(f"Story {story_id} not found")
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md = strip_asset_image_refs_from_markdown(markdown_snapshot or "")
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parent_id = story.current_version_id
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version_no = count_story_versions_sync(session, story_id) + 1
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vid = str(uuid.uuid4())
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@@ -161,7 +164,7 @@ def append_story_version_sync(
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id=vid,
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story_id=story_id,
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version_no=version_no,
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markdown_snapshot=markdown_snapshot,
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markdown_snapshot=md,
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actor_type=actor_type,
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source_type=source_type,
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parent_version_id=parent_id,
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@@ -169,9 +172,9 @@ def append_story_version_sync(
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session.add(version)
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session.flush()
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story.current_version_id = vid
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story.canonical_markdown = markdown_snapshot
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story.canonical_markdown = md
|
||||
_extract_and_store_image_intent_sync(
|
||||
session, story=story, version=version, markdown=markdown_snapshot
|
||||
session, story=story, version=version, markdown=md
|
||||
)
|
||||
memoir_repo.mark_chapters_dirty_for_story_sync(session, story_id)
|
||||
return version
|
||||
|
||||
@@ -18,6 +18,7 @@ from app.core.dependencies import get_image_generator
|
||||
from app.core.logging import get_logger
|
||||
from app.core.redis_lock import acquire_redis_lock, release_redis_lock
|
||||
from app.features.asset.models import Asset
|
||||
from app.features.memoir.asset_resolver import strip_asset_image_refs_from_markdown
|
||||
from app.features.memoir.memoir_images.storage import TencentCosStorageService
|
||||
from app.features.story.backfill import backfill_image_into_markdown
|
||||
from app.features.story.models import Story, StoryImageIntent, StoryVersion
|
||||
@@ -262,7 +263,7 @@ def generate_story_image(self, story_id: str):
|
||||
db.commit()
|
||||
return {"status": "success_no_snapshot", "asset_id": asset_id}
|
||||
|
||||
base_md = ver.markdown_snapshot or ""
|
||||
base_md = strip_asset_image_refs_from_markdown(ver.markdown_snapshot or "")
|
||||
alt_text = (getattr(intent_db, "prompt_brief", None) or "").strip()
|
||||
if not alt_text:
|
||||
alt_text = (getattr(intent_db, "caption", None) or "").strip()
|
||||
|
||||
@@ -8,6 +8,7 @@ from app.features.memoir.asset_resolver import (
|
||||
collect_asset_ids_from_markdown,
|
||||
resolve_asset_refs_in_markdown,
|
||||
split_markdown_by_asset_refs,
|
||||
strip_asset_image_refs_from_markdown,
|
||||
strip_legacy_image_placeholders,
|
||||
)
|
||||
from app.features.memoir.models import Chapter
|
||||
@@ -53,6 +54,22 @@ class AssetResolverTest(unittest.TestCase):
|
||||
ids = collect_asset_ids_for_chapter(ch)
|
||||
self.assertEqual(ids, {"a1", "cov1"})
|
||||
|
||||
def test_strip_asset_image_refs_removes_all_and_collapses_blank_lines(self):
|
||||
md = (
|
||||
"第一段\n\n\n\n第二段\n\n\n"
|
||||
"\n\n第三段"
|
||||
)
|
||||
out = strip_asset_image_refs_from_markdown(md)
|
||||
self.assertNotIn("asset://", out)
|
||||
self.assertIn("第一段", out)
|
||||
self.assertIn("第二段", out)
|
||||
self.assertIn("第三段", out)
|
||||
self.assertNotIn("\n\n\n", out)
|
||||
|
||||
def test_strip_asset_image_refs_empty(self):
|
||||
self.assertEqual(strip_asset_image_refs_from_markdown(""), "")
|
||||
self.assertEqual(strip_asset_image_refs_from_markdown(" "), "")
|
||||
|
||||
def test_collect_asset_ids_includes_linked_story_markdown(self):
|
||||
ch = SimpleNamespace(
|
||||
canonical_markdown="",
|
||||
|
||||
@@ -134,6 +134,103 @@ class GenerateStoryImageTaskTest(unittest.TestCase):
|
||||
acquire_lock_mock.assert_called_once()
|
||||
release_lock_mock.assert_called_once()
|
||||
|
||||
@patch("app.tasks.story_image_tasks.release_redis_lock")
|
||||
@patch(
|
||||
"app.tasks.story_image_tasks.acquire_redis_lock",
|
||||
return_value=SimpleNamespace(key="lock:story-image:story-1"),
|
||||
)
|
||||
@patch("app.tasks.story_image_tasks._claim_story_image_intent_sync")
|
||||
@patch("app.tasks.story_image_tasks.get_sync_db")
|
||||
@patch("app.tasks.story_image_tasks.TencentCosStorageService")
|
||||
@patch("app.tasks.story_image_tasks.get_image_generator")
|
||||
@patch("app.features.memoir.memoir_images.settings.MemoirImageSettings.from_env")
|
||||
@patch("app.tasks.story_image_tasks.uuid.uuid4")
|
||||
def test_generate_story_image_strips_existing_asset_refs_before_backfill(
|
||||
self,
|
||||
uuid4_mock,
|
||||
settings_from_env,
|
||||
get_image_generator_mock,
|
||||
storage_cls,
|
||||
get_sync_db_mock,
|
||||
claim_intent_mock,
|
||||
acquire_lock_mock,
|
||||
release_lock_mock,
|
||||
):
|
||||
uuid4_mock.side_effect = [
|
||||
_FakeUUID("claim-token"),
|
||||
_FakeUUID("new-asset-uuid"),
|
||||
_FakeUUID("version-uuid"),
|
||||
]
|
||||
settings_from_env.return_value = SimpleNamespace(
|
||||
provider="liblib",
|
||||
default_style="watercolor",
|
||||
default_size="1024x1024",
|
||||
)
|
||||
|
||||
intent = SimpleNamespace(
|
||||
id="intent-1",
|
||||
prompt_brief="院子里的藤椅",
|
||||
style_profile="watercolor",
|
||||
story_version_id="ver-1",
|
||||
caption="主插图",
|
||||
status="processing",
|
||||
)
|
||||
story = SimpleNamespace(
|
||||
id="story-1",
|
||||
user_id="user-1",
|
||||
title="童年的院子",
|
||||
stage="childhood",
|
||||
)
|
||||
db_claim = Mock()
|
||||
claim_intent_mock.return_value = (intent, story)
|
||||
|
||||
intent_db = SimpleNamespace(
|
||||
id="intent-1",
|
||||
story_version_id="ver-1",
|
||||
caption="主插图",
|
||||
prompt_brief="院子里的藤椅",
|
||||
status="processing",
|
||||
style_profile="watercolor",
|
||||
claim_token="claim-token",
|
||||
asset_id=None,
|
||||
error=None,
|
||||
updated_at=None,
|
||||
)
|
||||
story_db = SimpleNamespace(
|
||||
id="story-1",
|
||||
current_version_id="ver-1",
|
||||
canonical_markdown="第一段\n\n第二段",
|
||||
)
|
||||
version_db = SimpleNamespace(
|
||||
id="ver-1",
|
||||
markdown_snapshot=("第一段\n\n\n\n第二段"),
|
||||
)
|
||||
version_max_result = Mock()
|
||||
version_max_result.scalar.return_value = 1
|
||||
db_persist = Mock()
|
||||
db_persist.get.side_effect = [intent_db, story_db, version_db]
|
||||
db_persist.execute.return_value = version_max_result
|
||||
|
||||
get_sync_db_mock.side_effect = [_mock_db_cm(db_claim), _mock_db_cm(db_persist)]
|
||||
|
||||
generator = get_image_generator_mock.return_value
|
||||
generator.generate.return_value = ImageResult(
|
||||
status=TaskStatus.COMPLETED,
|
||||
task_id="task-1",
|
||||
image_url="https://provider.example.com/story.png",
|
||||
)
|
||||
generator.download_image.return_value = _png_bytes()
|
||||
storage_cls.from_env.return_value.upload_bytes.return_value = (
|
||||
"https://cos.example.com/stories/u1/s1.png"
|
||||
)
|
||||
|
||||
result = generate_story_image.run("story-1")
|
||||
|
||||
self.assertEqual(result["status"], "success")
|
||||
self.assertEqual(story_db.canonical_markdown.count("asset://"), 1)
|
||||
self.assertIn("asset://new-asset-uuid", story_db.canonical_markdown)
|
||||
self.assertNotIn("old-stale-id", story_db.canonical_markdown)
|
||||
|
||||
@patch("app.tasks.story_image_tasks.acquire_redis_lock", return_value=None)
|
||||
@patch("app.tasks.story_image_tasks.get_sync_db")
|
||||
@patch("app.tasks.story_image_tasks.get_image_generator")
|
||||
|
||||
Reference in New Issue
Block a user