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Feature/memory redis (#151)

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* [feature]Emotional memory cache

* [feature]Implicit memory cache

* [changes]Modify the expiration time of implicit memory to 24 hours.

* [feature]Emotional memory cache

* [feature]Implicit memory cache

* [changes]Modify the expiration time of implicit memory to 24 hours.

* [changes]Modify the code based on the AI review

* [feature]Emotional memory cache

* [feature]Implicit memory cache

* [changes]Modify the expiration time of implicit memory to 24 hours.

* [feature]Implicit memory cache

* [changes]Modify the code based on the AI review
This commit is contained in:
乐力齐
2026-01-19 16:41:11 +08:00
committed by GitHub
parent 004ec0da6d
commit 9d25b08641
14 changed files with 363 additions and 487 deletions
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4
api/app/models/__init__.py
View File

@@ -27,8 +27,6 @@ from .tool_model import (
ToolExecution, ToolType, ToolStatus, AuthType, ExecutionStatus
)
from .memory_perceptual_model import MemoryPerceptualModel
from .emotion_suggestions_cache_model import EmotionSuggestionsCache
from .implicit_memory_cache_model import ImplicitMemoryCache
__all__ = [
"Tenants",
@@ -79,6 +77,4 @@ __all__ = [
"AuthType",
"ExecutionStatus",
"MemoryPerceptualModel",
"EmotionSuggestionsCache",
"ImplicitMemoryCache"
]

24
api/app/models/emotion_suggestions_cache_model.py
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@@ -1,24 +0,0 @@
"""情绪建议缓存模型"""
import uuid
import datetime
from sqlalchemy import Column, String, Text, Integer, DateTime, JSON
from sqlalchemy.dialects.postgresql import UUID
from app.db import Base
class EmotionSuggestionsCache(Base):
"""情绪建议缓存表
用于缓存个性化情绪建议，减少 LLM 调用成本，提升响应速度。
"""
__tablename__ = "emotion_suggestions_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（组ID）")
health_summary = Column(Text, nullable=False, comment="健康状态摘要")
suggestions = Column(JSON, nullable=False, comment="建议列表（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)

27
api/app/models/implicit_memory_cache_model.py
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@@ -1,27 +0,0 @@
"""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)