Xiaoxia AI
b5a62ee9a3
- domain: User, Workspace, Project, AssetLibrary, Asset, IngestJob - ports: repository interfaces - application: use cases - adapters: in-memory - API: FastAPI 5 routes - worker: Celery ingest_asset - tests: 4 passing
45 lines
1.3 KiB
Python
45 lines
1.3 KiB
Python
from __future__ import annotations
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from dataclasses import dataclass
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from packages.domain import Asset
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from packages.ports.asset_repository import AssetRepository
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@dataclass(slots=True)
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class CreateAssetCommand:
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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] | None = None
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class ListAssetsUseCase:
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def __init__(self, asset_repository: AssetRepository):
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self.asset_repository = asset_repository
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def execute(self, library_id: str) -> list[Asset]:
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if not library_id.strip():
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raise ValueError("library_id 不能为空")
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return self.asset_repository.list_by_library(library_id.strip())
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class CreateAssetUseCase:
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def __init__(self, asset_repository: AssetRepository):
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self.asset_repository = asset_repository
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def execute(self, command: CreateAssetCommand) -> Asset:
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asset = Asset.create(
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workspace_id=command.workspace_id,
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project_id=command.project_id,
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library_id=command.library_id,
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name=command.name,
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storage_key=command.storage_key,
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mime_type=command.mime_type,
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metadata=command.metadata,
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)
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return self.asset_repository.create(asset)
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