renjianbo
cffe4a52d6
Backend:
- New /api/v1/agents/{id}/memory endpoints: CRUD for global_knowledge,
knowledge_entities, learning_patterns, vector_memories + import/export
- Fix scope_id column overflow: 3 model columns expanded to hold compound
keys (user_id:agent_id format, 73 chars vs old VARCHAR(36))
- Config: allow unknown env vars (extra="ignore") for optional overrides
Android:
- MemoryManageScreen: 4-tab UI (全局知识/知识实体/学习模式/对话记忆)
with search, delete, and FAB to add new entries
- Import/export via ShareSheet and file picker
- AgentListScreen: long-press dropdown menu → 记忆管理 entry point
- NavGraph: memory_manage/{agentId}/{agentName} route with URL encoding
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
35 lines
1.3 KiB
Python
35 lines
1.3 KiB
Python
"""
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按 Agent/工作流 + 会话键持久化的用户记忆（MySQL），与 Redis 热缓存配合实现长期记忆。
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"""
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import uuid
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from sqlalchemy import Column, DateTime, String, UniqueConstraint, func
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from sqlalchemy.dialects.mysql import CHAR, JSON
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from app.core.database import Base
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class PersistentUserMemory(Base):
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"""会话级记忆快照：同一 scope 下 session_key 唯一。"""
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__tablename__ = "persistent_user_memories"
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__table_args__ = (
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UniqueConstraint("scope_kind", "scope_id", "session_key", name="uq_persistent_mem_scope_session"),
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)
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id = Column(CHAR(36), primary_key=True, default=lambda: str(uuid.uuid4()), comment="主键")
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scope_kind = Column(String(16), nullable=False, comment="agent 或 workflow")
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scope_id = Column(String(128), nullable=False, comment="Agent ID 或 Workflow ID")
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session_key = Column(String(512), nullable=False, comment="调用方传入的 user_id 等会话键")
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payload = Column(JSON, nullable=False, comment="与 Redis 中 user_memory_* 结构一致的记忆 JSON")
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updated_at = Column(
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DateTime,
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server_default=func.now(),
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onupdate=func.now(),
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nullable=True,
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comment="更新时间",
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)
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def __repr__(self):
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return f"<PersistentUserMemory(scope={self.scope_kind}:{self.scope_id}, session={self.session_key[:32]})>"
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