mirror of
https://github.com/fastapiadmin/FastapiAdmin.git
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zhangtao
9e80f970d0
- 移除各路由文件顶部冗余注释 - 将 JobRouter/NodeRouter 重命名为 CornJobRouter/CornJobNodeRouter - 新增存储浏览、节点、传输、工作流路由注册 - 调整路由导入来源与任务表名 - 优化 main.py 启动方式及环境配置加载
60 lines
4.7 KiB
Python
60 lines
4.7 KiB
Python
from datetime import datetime
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from sqlalchemy import BigInteger, DateTime, Float, ForeignKey, Integer, String, Text
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from sqlalchemy.orm import Mapped, mapped_column
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from app.core.base_model import ModelMixin, UserMixin
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class StorageTransferTaskModel(ModelMixin, UserMixin):
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"""文件传输任务模型（多目标 / 链式）"""
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__tablename__: str = "task_storage_transfer"
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__table_args__: dict[str, str] = {"comment": "文件传输任务表"}
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name: Mapped[str] = mapped_column(String(128), nullable=False, comment="任务名称")
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task_type: Mapped[str] = mapped_column(String(16), nullable=False, comment="任务类型(parallel:多目标 chain:链式)")
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source_type: Mapped[str] = mapped_column(String(16), nullable=False, comment="源类型(local:本地 remote:远端)")
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source_id: Mapped[int | None] = mapped_column(Integer, default=None, nullable=True, comment="源存储源ID(本地源为空)")
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source_path: Mapped[str | None] = mapped_column(String(1024), default=None, nullable=True, comment="源远端路径(本地源为服务端临时文件)")
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source_name: Mapped[str | None] = mapped_column(String(512), default=None, nullable=True, comment="源文件名")
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source_size: Mapped[int | None] = mapped_column(BigInteger, default=None, nullable=True, comment="源文件大小(字节)")
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status: Mapped[str] = mapped_column(String(16), default="pending", nullable=False, index=True, comment="状态(pending/running/success/failed/canceled)")
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total_size: Mapped[int] = mapped_column(BigInteger, default=0, nullable=False, comment="总字节")
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transferred_size: Mapped[int] = mapped_column(BigInteger, default=0, nullable=False, comment="已传输字节")
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progress: Mapped[int] = mapped_column(Integer, default=0, nullable=False, comment="进度(0-100)")
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speed: Mapped[float] = mapped_column(Float, default=0.0, nullable=False, comment="实时速度(B/s)")
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error_msg: Mapped[str | None] = mapped_column(Text, default=None, nullable=True, comment="错误信息")
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started_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), default=None, nullable=True, comment="开始时间")
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finished_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), default=None, nullable=True, comment="结束时间")
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class StorageTransferStepModel(ModelMixin):
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"""文件传输步骤模型（一个任务展开为多个步骤）"""
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__tablename__: str = "task_storage_transfer_step"
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__table_args__: dict[str, str] = {"comment": "文件传输步骤表"}
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task_id: Mapped[int] = mapped_column(
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ForeignKey("task_storage_transfer.id", ondelete="CASCADE"),
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nullable=False,
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index=True,
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comment="任务ID",
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)
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step_order: Mapped[int] = mapped_column(Integer, nullable=False, comment="步骤序号(从0开始)")
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source_id: Mapped[int | None] = mapped_column(Integer, default=None, nullable=True, comment="源存储源ID(首步本地源为空)")
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source_path: Mapped[str | None] = mapped_column(String(1024), default=None, nullable=True, comment="源路径(本地源为服务端临时文件)")
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target_id: Mapped[int] = mapped_column(Integer, nullable=False, comment="目标存储源ID")
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target_path: Mapped[str] = mapped_column(String(1024), nullable=False, comment="目标路径")
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transfer_mode: Mapped[str | None] = mapped_column(String(16), default=None, nullable=True, comment="传输方式(stream:流式 multipart:分片；空=用存储源默认)")
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multipart_part_size: Mapped[int | None] = mapped_column(Integer, default=None, nullable=True, comment="分片大小(MB，分片传输时覆盖存储源配置)")
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multipart_concurrency: Mapped[int | None] = mapped_column(Integer, default=None, nullable=True, comment="分片上传并发路数(分片传输时覆盖存储源配置)")
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status: Mapped[str] = mapped_column(String(16), default="pending", nullable=False, comment="状态(pending/running/success/failed/canceled)")
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progress: Mapped[int] = mapped_column(Integer, default=0, nullable=False, comment="进度(0-100)")
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speed: Mapped[float] = mapped_column(Float, default=0.0, nullable=False, comment="实时速度(B/s)")
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total_size: Mapped[int] = mapped_column(BigInteger, default=0, nullable=False, comment="本步总字节")
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transferred_size: Mapped[int] = mapped_column(BigInteger, default=0, nullable=False, comment="本步已传输字节")
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error_msg: Mapped[str | None] = mapped_column(Text, default=None, nullable=True, comment="错误信息")
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started_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), default=None, nullable=True, comment="开始时间")
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finished_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), default=None, nullable=True, comment="结束时间")
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