Files
life-echo/api/app/features/conversation/models.py
Kevin a3f61fcc0f feat(api+app): 对话阶段化、回忆录流水线与客户端会话体验
- DB: segments 用户输入文本(Alembic 0002)
- Chat: 阶段检测/阶段提示/回复限制,编排与访谈/画像 prompts 调整
- Memoir: 忠实度检查 agent,叙事与分类等链路更新
- Core: agent 日志、Alembic 启动、LangChain/日志/配置等
- Story: time_hints;Memory 检索与相关测试
- Expo: 助手头像、会话页与消息拆分、实时会话与文案/i18n
- Docs/scripts/tests: 迁移脚本、LLM JSON/记忆检索文档、新增单测
2026-03-26 12:13:36 +08:00

78 lines
2.8 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
from sqlalchemy import (
JSON,
Boolean,
Column,
DateTime,
ForeignKey,
Integer,
String,
Text,
)
from sqlalchemy.orm import relationship
from app.core.db import Base, utc_now
class Conversation(Base):
__tablename__ = "conversations"
id = Column(String, primary_key=True)
user_id = Column(String, ForeignKey("users.id"), nullable=False)
started_at = Column(DateTime(timezone=True), default=utc_now)
last_message_at = Column(DateTime(timezone=True), nullable=True)
ended_at = Column(DateTime(timezone=True), nullable=True)
duration_seconds = Column(Integer, default=0)
summary = Column(Text, nullable=True)
status = Column(String, default="active")
current_topic = Column(String, nullable=True)
conversation_stage = Column(String, nullable=True)
deleted_at = Column(DateTime(timezone=True), nullable=True)
user = relationship("User", back_populates="conversations")
segments = relationship(
"Segment", back_populates="conversation", cascade="all, delete-orphan"
)
messages = relationship(
"ConversationMessage",
back_populates="conversation",
cascade="all, delete-orphan",
)
class Segment(Base):
__tablename__ = "segments"
id = Column(String, primary_key=True)
conversation_id = Column(String, ForeignKey("conversations.id"), nullable=False)
audio_url = Column(String, nullable=True)
# 用户输入正文:语音 ASR 结果或键盘输入(历史列名 transcript_text
user_input_text = Column(Text, nullable=False)
audio_duration_seconds = Column(Integer, nullable=True)
created_at = Column(DateTime(timezone=True), default=utc_now)
processed = Column(Boolean, default=False)
topic_category = Column(String, nullable=True)
agent_response = Column(Text, nullable=True)
tts_audio_urls = Column(JSON, nullable=True)
conversation = relationship("Conversation", back_populates="segments")
class ConversationMessage(Base):
"""durable turn log aligned with Redis history shape (canonical chat source of truth)."""
__tablename__ = "conversation_messages"
id = Column(String, primary_key=True)
conversation_id = Column(String, ForeignKey("conversations.id"), nullable=False)
role = Column(String, nullable=False) # human / ai
content = Column(Text, nullable=False)
message_type = Column(String, nullable=False, default="text")
voice_session_id = Column(String, nullable=True)
duration_seconds = Column(Integer, nullable=True)
tts_audio_urls = Column(JSON, nullable=True)
segment_id = Column(String, ForeignKey("segments.id"), nullable=True)
created_at = Column(DateTime(timezone=True), default=utc_now)
conversation = relationship("Conversation", back_populates="messages")
segment = relationship("Segment", foreign_keys=[segment_id])