Xiaoxia AI
49 lines
1.6 KiB
Python
49 lines
1.6 KiB
Python
from pydantic import BaseModel, Field
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class CreateAssetRequest(BaseModel):
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workspace_id: str = Field(..., min_length=1)
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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 AssetResponse(BaseModel):
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id: str
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workspace_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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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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class ListAssetsResponse(BaseModel):
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items: list[AssetResponse]
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