mirror of
https://github.com/fastapiadmin/FastapiAdmin.git
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zhangtao
c0d32a7eec
feat: 新增系统租户和用户初始化数据 style: 优化代码注释和格式 fix: 修复数据权限检查逻辑中的created_id字段判断 perf: 移除不必要的模型关系以提升性能 docs: 更新初始化数据的描述信息 chore: 清理废弃文件和冗余代码
83 lines
4.6 KiB
Python
83 lines
4.6 KiB
Python
# -*- coding: utf-8 -*-
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from datetime import datetime
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from sqlalchemy import Boolean, String, Integer, Text, ForeignKey, DateTime
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.core.base_model import MappedBase, ModelMixin, UserMixin, TenantMixin, CustomerMixin
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class JobModel(ModelMixin, UserMixin, TenantMixin, CustomerMixin):
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"""
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定时任务调度表
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数据隔离策略:
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===========
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- 系统级任务: tenant_id=1, customer_id=NULL (平台定时任务,如系统维护)
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- 租户级任务: tenant_id>1, customer_id=NULL (租户定时任务,如数据统计)
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- 客户级任务: tenant_id>1, customer_id>0 (客户专属定时任务)
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任务状态:
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- 0: 运行中
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- 1: 暂停中
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"""
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__tablename__: str = 'app_job'
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__table_args__: dict[str, str] = ({'comment': '定时任务调度表'})
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__loader_options__: list[str] = ["job_logs", "created_by", "updated_by", "tenant", "customer"]
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name: Mapped[str | None] = mapped_column(String(64), nullable=True, default='', comment='任务名称')
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jobstore: Mapped[str | None] = mapped_column(String(64), nullable=True, default='default', comment='存储器')
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executor: Mapped[str | None] = mapped_column(String(64), nullable=True, default='default', comment='执行器:将运行此作业的执行程序的名称')
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trigger: Mapped[str] = mapped_column(String(64), nullable=False, comment='触发器:控制此作业计划的 trigger 对象')
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trigger_args: Mapped[str | None] = mapped_column(Text, nullable=True, comment='触发器参数')
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func: Mapped[str] = mapped_column(Text, nullable=False, comment='任务函数')
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args: Mapped[str | None] = mapped_column(Text, nullable=True, comment='位置参数')
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kwargs: Mapped[str | None] = mapped_column(Text, nullable=True, comment='关键字参数')
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coalesce: Mapped[bool] = mapped_column(Boolean, nullable=True, default=False, comment='是否合并运行:是否在多个运行时间到期时仅运行作业一次')
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max_instances: Mapped[int] = mapped_column(Integer, nullable=True, default=1, comment='最大实例数:允许的最大并发执行实例数')
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start_date: Mapped[str | None] = mapped_column(String(64), nullable=True, comment='开始时间')
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end_date: Mapped[str | None] = mapped_column(String(64), nullable=True, comment='结束时间')
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# 关联关系
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job_logs: Mapped[list['JobLogModel'] | None] = relationship(
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back_populates="job",
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lazy="selectin"
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)
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class JobLogModel(MappedBase):
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"""
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定时任务调度日志表
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日志表不需要租户隔离,因为通过job关联已经隐式隔离
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但为了查询性能,可以考虑冗余tenant_id
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"""
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__tablename__: str = 'app_job_log'
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__table_args__: dict[str, str] = ({'comment': '定时任务调度日志表'})
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__loader_options__: list[str] = ["job"]
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True, comment='主键ID')
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status: Mapped[str] = mapped_column(String(10), default='0', nullable=False, comment="执行状态(0:成功 1:失败)")
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description: Mapped[str | None] = mapped_column(Text, nullable=True, default=None, comment="备注/描述")
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job_name: Mapped[str] = mapped_column(String(64), nullable=False, comment='任务名称')
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job_group: Mapped[str] = mapped_column(String(64), nullable=False, comment='任务组名')
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job_executor: Mapped[str] = mapped_column(String(64), nullable=False, comment='任务执行器')
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invoke_target: Mapped[str] = mapped_column(String(500), nullable=False, comment='调用目标字符串')
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job_args: Mapped[str | None] = mapped_column(String(255), nullable=True, default='', comment='位置参数')
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job_kwargs: Mapped[str | None] = mapped_column(String(255), nullable=True, default='', comment='关键字参数')
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job_trigger: Mapped[str | None] = mapped_column(String(255), nullable=True, default='', comment='任务触发器')
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job_message: Mapped[str | None] = mapped_column(String(500), nullable=True, default='', comment='日志信息')
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exception_info: Mapped[str | None] = mapped_column(String(2000), nullable=True, default='', comment='异常信息')
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create_time: Mapped[datetime | None] = mapped_column(DateTime, nullable=True, default=datetime.now, comment='创建时间')
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# 任务关联
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job_id: Mapped[int | None] = mapped_column(
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ForeignKey('app_job.id', ondelete="CASCADE"),
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nullable=True,
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index=True,
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comment='任务ID'
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)
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job: Mapped["JobModel | None"] = relationship(
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back_populates="job_logs",
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lazy="selectin"
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) |