PMFlow/backend/app/models/ai_call_log.py

35 lines
1.2 KiB
Python

"""AI 调用日志"""
from datetime import datetime
from typing import Optional
from sqlalchemy import BigInteger, DECIMAL, ForeignKey, Integer, Text, TIMESTAMP, VARCHAR, func
from sqlalchemy.orm import Mapped, mapped_column
from .base import BaseNoTenant
class BaseLog(BaseNoTenant):
"""日志表基类"""
__abstract__ = True
tenant_id: Mapped[int] = mapped_column(
BigInteger, nullable=False, default=1, index=True
)
created_at: Mapped[datetime] = mapped_column(
TIMESTAMP, nullable=False, server_default=func.now()
)
class AICallLog(BaseLog):
__tablename__ = "ai_call_logs"
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
user_id: Mapped[Optional[int]] = mapped_column(
BigInteger, ForeignKey("users.id"), nullable=True
)
function_name: Mapped[str] = mapped_column(VARCHAR(255), nullable=False)
prompt: Mapped[str] = mapped_column(Text, nullable=False)
response: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
tokens_used: Mapped[Optional[int]] = mapped_column(Integer, nullable=True)
cost: Mapped[Optional[float]] = mapped_column(DECIMAL(10, 6), nullable=True)
status: Mapped[str] = mapped_column(VARCHAR(50), nullable=False)