feat(memory): add memory config caching to end_user model
- Add memory_config_id field to EndUser model for lazy caching of memory configuration - Create get_end_user_memory_config_id() function for fast retrieval of cached config ID - Implement lazy update mechanism in get_end_user_connected_config() to cache memory_config_id - Optimize memory config lookup by storing config ID directly on end_user record - Improve import organization and formatting in memory_agent_service.py - Add indexed foreign key relationship to data_config table for efficient queries
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@@ -1,9 +1,11 @@
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import datetime
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import uuid
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from sqlalchemy import Column, String, DateTime, ForeignKey, Text, BigInteger
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from app.db import Base
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from sqlalchemy import BigInteger, Column, DateTime, ForeignKey, Integer, String, Text
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from sqlalchemy.dialects.postgresql import UUID
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from sqlalchemy.orm import relationship
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from app.db import Base
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class EndUser(Base):
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__tablename__ = "end_users"
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@@ -18,6 +20,9 @@ class EndUser(Base):
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created_at = Column(DateTime, default=datetime.datetime.now)
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updated_at = Column(DateTime, default=datetime.datetime.now, onupdate=datetime.datetime.now)
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# Memory config association - updated lazily during conversation
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memory_config_id = Column(Integer, ForeignKey("data_config.config_id"), nullable=True, index=True, comment="关联的记忆配置ID")
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# 用户基本信息字段
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position = Column(String, nullable=True, comment="职位")
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department = Column(String, nullable=True, comment="部门")
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