deepdata: core product code (backend, frontend, runtime, deepflow module)

runtime/deepdata-python/app/module/shared/file_models.py

@@ -0,0 +1,38 @@
+"""
+File Models
+文件相关模型定义
+"""
+from pathlib import Path
+from typing import Optional
+from pydantic import BaseModel, Field
+from datetime import datetime
+
+
+class ChunkUploadPreRequestDto(BaseModel):
+    """分片上传预请求DTO"""
+    id: str = Field(..., description="请求ID")
+    total_file_num: int = Field(..., description="总文件数", ge=1)
+    uploaded_file_num: Optional[int] = Field(None, description="已上传文件数", ge=0)
+    upload_path: str = Field(..., description="文件路径")
+    timeout: Optional[datetime] = Field(None, description="上传请求超时时间")
+    service_id: Optional[str] = Field(None, description="上传请求所属服务ID")
+    check_info: Optional[str] = Field(None, description="业务信息")
+
+
+class ChunkUploadRequestDto(BaseModel):
+    """分片上传请求DTO"""
+    req_id: str = Field(..., description="预上传返回的ID")
+    file_no: int = Field(1, description="文件编号", ge=1)
+    file_name: str = Field(..., description="文件名称")
+    total_chunk_num: int = Field(1, description="总分块数量", ge=1)
+    chunk_no: int = Field(1, description="当前分块编号", ge=1)
+    file_size: Optional[int] = Field(None, description="文件大小", ge=0)
+    check_sum_hex: Optional[str] = Field(None, description="文件校验和（十六进制字符串）")
+
+
+class FileUploadResult(BaseModel):
+    """文件上传结果"""
+    is_all_files_uploaded: bool = Field(..., description="是否所有文件已上传")
+    check_info: Optional[str] = Field(None, description="业务上传信息")
+    saved_file_path: Optional[str] = Field(None, description="保存的文件路径")
+    file_name: str = Field(..., description="文件名称")