Feature/generate cache (#135)

* [feature]Generate emotions, implicit cache

* [feature]Generate emotions, implicit cache

* [changes]Improve the code based on AI review

* [changes]Improve the code based on AI review

* [changes]Improve the code

* [feature]Generate emotions, implicit cache

* [changes]Improve the code based on AI review

* [changes]Improve the code

api/app/models/implicit_memory_cache_model.py

@@ -0,0 +1,27 @@
+"""隐性记忆缓存模型"""
+
+import uuid
+import datetime
+from sqlalchemy import Column, String, Integer, DateTime, JSON
+from sqlalchemy.dialects.postgresql import UUID
+from app.db import Base
+
+
+class ImplicitMemoryCache(Base):
+    """隐性记忆缓存表
+    
+    用于缓存用户的完整隐性记忆画像，包括偏好标签、四维画像、兴趣领域和行为习惯。
+    减少 LLM 调用成本，提升响应速度。
+    """
+    __tablename__ = "implicit_memory_cache"
+
+    id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4, index=True)
+    end_user_id = Column(String(255), nullable=False, unique=True, index=True, comment="终端用户ID")
+    preferences = Column(JSON, nullable=False, comment="偏好标签列表（JSON格式）")
+    portrait = Column(JSON, nullable=False, comment="四维画像对象（JSON格式）")
+    interest_areas = Column(JSON, nullable=False, comment="兴趣领域分布对象（JSON格式）")
+    habits = Column(JSON, nullable=False, comment="行为习惯列表（JSON格式）")
+    generated_at = Column(DateTime, nullable=False, default=datetime.datetime.now, comment="生成时间")
+    expires_at = Column(DateTime, nullable=True, comment="过期时间")
+    created_at = Column(DateTime, default=datetime.datetime.now)
+    updated_at = Column(DateTime, default=datetime.datetime.now, onupdate=datetime.datetime.now)