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feat: 素材批量操作接口（软删除/打标签/改分类/智能视图标记）
103 lines
3.6 KiB
Python
Executable File
103 lines
3.6 KiB
Python
Executable File
from pydantic import BaseModel, Field
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class CreateAssetRequest(BaseModel):
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project_id: str = Field(..., min_length=1)
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library_id: str = Field(..., min_length=1)
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name: str = Field(..., min_length=1, max_length=100)
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storage_key: str = Field(..., min_length=1, max_length=255)
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mime_type: str = Field(..., min_length=1, max_length=100)
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metadata: dict[str, object] = Field(default_factory=dict)
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file_size: int = Field(default=0, ge=0)
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thumbnail_url: str | None = None
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duration: float | None = Field(default=None, ge=0)
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width: int | None = Field(default=None, ge=0)
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height: int | None = Field(default=None, ge=0)
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fps: float | None = Field(default=None, ge=0)
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codec: str | None = None
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status: str = Field(default="uploading")
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classification_status: str = Field(default="pending")
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quality_score: float | None = Field(default=None, ge=0, le=100)
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uploaded_by_user_id: str = Field(default="", max_length=100)
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class UpdateAssetReviewRequest(BaseModel):
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review_status: str = Field(..., pattern="^(pending_review|approved|rejected)$")
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class UpdateAssetRequest(BaseModel):
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name: str | None = Field(default=None, min_length=1, max_length=100)
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metadata: dict[str, object] | None = None
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tags: list[str] | None = None
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class AssetResponse(BaseModel):
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id: str
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project_id: str
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library_id: str
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name: str
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storage_key: str
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mime_type: str
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metadata: dict[str, object]
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file_size: int
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file_url: str | None = None
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thumbnail_url: str | None = None
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duration: float | None = None
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width: int | None = None
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height: int | None = None
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fps: float | None = None
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codec: str | None = None
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status: str
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classification_status: str
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quality_score: float | None = None
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uploaded_by_user_id: str
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tag_ids: list[str] = Field(default_factory=list)
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MAX_BATCH_SIZE = 200
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class BatchDeleteRequest(BaseModel):
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"""批量删除请求（软删除）。"""
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asset_ids: list[str] = Field(..., min_length=1, max_length=MAX_BATCH_SIZE, description="要删除的素材 ID 列表")
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class BatchOperationResponse(BaseModel):
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"""批量操作通用响应。"""
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success_count: int = Field(..., ge=0, description="成功数量")
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failed_ids: list[str] = Field(default_factory=list, description="失败的 ID 列表")
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failed_details: dict[str, str] = Field(default_factory=dict, description="失败详情 {asset_id: reason}")
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class BatchTagRequest(BaseModel):
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"""批量打标签请求。"""
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asset_ids: list[str] = Field(..., min_length=1, max_length=MAX_BATCH_SIZE, description="素材 ID 列表")
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tag_ids: list[str] = Field(..., min_length=1, max_length=50, description="标签 ID 列表")
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mode: str = Field(default="add", pattern="^(add|replace)$", description="add=添加合并，replace=全量替换")
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class BatchClassifyRequest(BaseModel):
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"""批量修改分类请求。"""
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asset_ids: list[str] = Field(..., min_length=1, max_length=MAX_BATCH_SIZE, description="素材 ID 列表")
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category: str = Field(..., min_length=1, max_length=50, description="内容分类，如 person/scenic/product")
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class BatchMarkRequest(BaseModel):
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"""批量设置智能视图标记请求。"""
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asset_ids: list[str] = Field(..., min_length=1, max_length=MAX_BATCH_SIZE, description="素材 ID 列表")
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smart_view: str = Field(
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..., pattern="^(recommended|caution|high_risk)$", description="智能视图标记：recommended/caution/high_risk"
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)
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class ListAssetsResponse(BaseModel):
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items: list[AssetResponse]
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total: int = Field(default=0, ge=0)
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skip: int = Field(default=0, ge=0)
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limit: int = Field(default=100, ge=1)
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