renjianbo
beff3fac8d
- Fix delete agent 500: clean up FK records (agent_llm_logs, permissions, schedules, executions, team_members) and unbind goals/tasks before delete - Remove hardcoded personality templates in Android, replace with dynamic system prompt generation from name + description - Set promptSectionsEnabled=false to bypass PromptComposer for personality - Add Tencent Cloud Linux deployment guide (Docker Compose) - Accumulated backend service updates, frontend UI fixes, Android app changes Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
44 lines
1.8 KiB
Python
44 lines
1.8 KiB
Python
"""
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对话分支模型 — 支持从任意历史点分叉对话
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参考 Claude Code src/commands/branch/branch.ts
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"""
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from __future__ import annotations
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import uuid
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from datetime import datetime
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from sqlalchemy import Column, String, Text, Integer, DateTime, JSON, Boolean
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from sqlalchemy.dialects.mysql import CHAR
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from app.core.database import Base
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class ConversationBranch(Base):
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"""对话分支 — 保存某个时间点的完整对话快照"""
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__tablename__ = "conversation_branches"
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id = Column(CHAR(36), primary_key=True, default=lambda: str(uuid.uuid4()), comment="分支ID")
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user_id = Column(String(36), nullable=False, index=True, comment="用户ID")
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agent_id = Column(String(36), nullable=True, comment="关联Agent ID")
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agent_name = Column(String(200), nullable=True, comment="Agent 名称（冗余便于展示）")
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# 溯源链
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parent_session_id = Column(String(100), nullable=False, comment="分叉来源会话ID")
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branch_session_id = Column(String(100), nullable=False, unique=True, comment="新分支会话ID")
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# 元信息
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title = Column(String(500), nullable=False, comment="分支标题（取自首条用户消息）")
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message_count = Column(Integer, default=0, comment="快照包含的消息数")
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first_user_message = Column(Text, nullable=True, comment="首条用户消息（用于列表展示）")
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# 完整消息快照 (JSON)
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messages = Column(JSON, nullable=True, comment="分支创建时的完整消息列表")
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# 状态
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is_active = Column(Boolean, default=True, comment="是否活跃")
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created_at = Column(DateTime, default=datetime.now, comment="创建时间")
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def __repr__(self):
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return f"<ConversationBranch(id={self.id}, title={self.title}, messages={self.message_count})>"
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