refactor(task): 重构定时任务与存储路由

- 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

backend/app/modules/task/storage/transfer/model.py

@@ -0,0 +1,59 @@
+from datetime import datetime
+
+from sqlalchemy import BigInteger, DateTime, Float, ForeignKey, Integer, String, Text
+from sqlalchemy.orm import Mapped, mapped_column
+
+from app.core.base_model import ModelMixin, UserMixin
+
+
+class StorageTransferTaskModel(ModelMixin, UserMixin):
+    """文件传输任务模型（多目标 / 链式）"""
+
+    __tablename__: str = "task_storage_transfer"
+    __table_args__: dict[str, str] = {"comment": "文件传输任务表"}
+
+    name: Mapped[str] = mapped_column(String(128), nullable=False, comment="任务名称")
+    task_type: Mapped[str] = mapped_column(String(16), nullable=False, comment="任务类型(parallel:多目标 chain:链式)")
+    source_type: Mapped[str] = mapped_column(String(16), nullable=False, comment="源类型(local:本地 remote:远端)")
+    source_id: Mapped[int | None] = mapped_column(Integer, default=None, nullable=True, comment="源存储源ID(本地源为空)")
+    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)")
+    source_name: Mapped[str | None] = mapped_column(String(512), default=None, nullable=True, comment="源文件名")
+    source_size: Mapped[int | None] = mapped_column(BigInteger, default=None, nullable=True, comment="源文件大小(字节)")
+    status: Mapped[str] = mapped_column(String(16), default="pending", nullable=False, index=True, comment="状态(pending/running/success/failed/canceled)")
+    total_size: Mapped[int] = mapped_column(BigInteger, default=0, nullable=False, comment="总字节")
+    transferred_size: Mapped[int] = mapped_column(BigInteger, default=0, nullable=False, comment="已传输字节")
+    progress: Mapped[int] = mapped_column(Integer, default=0, nullable=False, comment="进度(0-100)")
+    speed: Mapped[float] = mapped_column(Float, default=0.0, nullable=False, comment="实时速度(B/s)")
+    error_msg: Mapped[str | None] = mapped_column(Text, default=None, nullable=True, comment="错误信息")
+    started_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), default=None, nullable=True, comment="开始时间")
+    finished_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), default=None, nullable=True, comment="结束时间")
+
+
+class StorageTransferStepModel(ModelMixin):
+    """文件传输步骤模型（一个任务展开为多个步骤）"""
+
+    __tablename__: str = "task_storage_transfer_step"
+    __table_args__: dict[str, str] = {"comment": "文件传输步骤表"}
+
+    task_id: Mapped[int] = mapped_column(
+        ForeignKey("task_storage_transfer.id", ondelete="CASCADE"),
+        nullable=False,
+        index=True,
+        comment="任务ID",
+    )
+    step_order: Mapped[int] = mapped_column(Integer, nullable=False, comment="步骤序号(从0开始)")
+    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)")
+    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)")
+    target_id: Mapped[int] = mapped_column(Integer, nullable=False, comment="目标存储源ID")
+    target_path: Mapped[str] = mapped_column(String(1024), nullable=False, comment="目标路径")
+    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)")
+    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)")
+    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)")
+    status: Mapped[str] = mapped_column(String(16), default="pending", nullable=False, comment="状态(pending/running/success/failed/canceled)")
+    progress: Mapped[int] = mapped_column(Integer, default=0, nullable=False, comment="进度(0-100)")
+    speed: Mapped[float] = mapped_column(Float, default=0.0, nullable=False, comment="实时速度(B/s)")
+    total_size: Mapped[int] = mapped_column(BigInteger, default=0, nullable=False, comment="本步总字节")
+    transferred_size: Mapped[int] = mapped_column(BigInteger, default=0, nullable=False, comment="本步已传输字节")
+    error_msg: Mapped[str | None] = mapped_column(Text, default=None, nullable=True, comment="错误信息")
+    started_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), default=None, nullable=True, comment="开始时间")
+    finished_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), default=None, nullable=True, comment="结束时间")