Introduce the backend pieces for brain memory ingestion, routing, and system telemetry so the new knowledge workflows can project data into a brain view. The supporting tests lock in the new behavior and keep the expanded backend surface stable. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
42 lines
1.5 KiB
Python
42 lines
1.5 KiB
Python
from sqlalchemy import Column, String, Text, Integer, Index
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from app.models.base import BaseModel
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import enum
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class LogLevel(str, enum.Enum):
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DEBUG = "debug"
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INFO = "info"
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WARNING = "warning"
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ERROR = "error"
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class LogType(str, enum.Enum):
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AGENT = "agent" # 智能体调用
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SYSTEM = "system" # 系统运行
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CHAT = "chat" # 问答对话
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class Log(BaseModel):
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__tablename__ = "logs"
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level = Column(String(20), default=LogLevel.INFO.value, index=True) # debug/info/warning/error
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type = Column(String(20), default=LogType.SYSTEM.value, index=True) # agent/system/chat
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user_id = Column(String(36), nullable=True, index=True) # 关联用户
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request_id = Column(String(64), nullable=True, index=True)
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route = Column(String(255), nullable=True, index=True)
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method = Column(String(16), nullable=True, index=True)
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status_code = Column(Integer, nullable=True, index=True)
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error_type = Column(String(100), nullable=True)
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operation = Column(String(100), nullable=True, index=True)
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message = Column(Text, nullable=False) # 日志内容
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details = Column(Text, nullable=True) # 详细信息(JSON)
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source = Column(String(100), nullable=True) # 来源模块
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duration_ms = Column(Integer, nullable=True) # 执行耗时
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__table_args__ = (
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Index('idx_logs_type_level', 'type', 'level'),
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Index('idx_logs_created_at', 'created_at'),
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Index('idx_logs_request_id', 'request_id'),
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Index('idx_logs_operation_status', 'operation', 'status_code'),
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)
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