PMFlow/backend/app/models/kg_sync_run.py

29 lines
1.2 KiB
Python

"""Knowledge Graph 增量同步运行日志。"""
from __future__ import annotations
from typing import Any, Optional
from sqlalchemy import Integer, TEXT, TIMESTAMP, VARCHAR
from sqlalchemy.orm import Mapped, mapped_column
from .base import Base
from .types import JSONB
class KGSyncRun(Base):
__tablename__ = "kg_sync_runs"
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
run_type: Mapped[str] = mapped_column(VARCHAR(40), nullable=False, index=True)
trigger_source: Mapped[str] = mapped_column(VARCHAR(40), nullable=False, default="system", index=True)
status: Mapped[str] = mapped_column(VARCHAR(20), nullable=False, default="running", index=True)
started_at: Mapped[Optional[TIMESTAMP]] = mapped_column(TIMESTAMP, nullable=False, index=True)
ended_at: Mapped[Optional[TIMESTAMP]] = mapped_column(TIMESTAMP, nullable=True, index=True)
duration_ms: Mapped[Optional[int]] = mapped_column(Integer, nullable=True)
input_payload: Mapped[Optional[Any]] = mapped_column(JSONB, nullable=True)
result_payload: Mapped[Optional[Any]] = mapped_column(JSONB, nullable=True)
error_message: Mapped[Optional[str]] = mapped_column(TEXT, nullable=True)