Xiaoxia AI
70 lines
2.4 KiB
Python
70 lines
2.4 KiB
Python
import json
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from sqlalchemy.orm import Session
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from packages.adapters.sqlalchemy_impl.models import AssetModel
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from packages.domain import Asset
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class SQLAlchemyAssetRepository:
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def __init__(self, session: Session):
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self.session = session
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def list_by_library(self, library_id: str) -> list[Asset]:
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models = self.session.query(AssetModel).filter(AssetModel.asset_library_id == library_id).all()
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return [self._to_domain(model) for model in models]
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def get(self, asset_id: str) -> Asset | None:
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model = self.session.query(AssetModel).filter(AssetModel.id == asset_id).first()
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if model is None:
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return None
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return self._to_domain(model)
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def create(self, asset: Asset) -> Asset:
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model = AssetModel(
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id=asset.id,
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workspace_id=asset.workspace_id,
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project_id=asset.project_id,
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asset_library_id=asset.library_id,
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name=asset.name,
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file_type=asset.mime_type.split('/')[0] if '/' in asset.mime_type else asset.mime_type,
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file_size=0,
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file_url=asset.storage_key,
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uploaded_by_user_id='system',
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classification_result=json.dumps(asset.metadata),
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created_at=asset.created_at,
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updated_at=asset.created_at,
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)
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self.session.add(model)
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self.session.commit()
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return asset
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def update(self, asset: Asset) -> Asset:
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model = self.session.query(AssetModel).filter(AssetModel.id == asset.id).first()
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if model is None:
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raise ValueError(f"Asset {asset.id} not found")
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model.name = asset.name
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model.classification_result = json.dumps(asset.metadata)
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model.updated_at = asset.created_at
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self.session.commit()
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return asset
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def _to_domain(self, model: AssetModel) -> Asset:
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metadata = {}
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if model.classification_result:
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try:
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metadata = json.loads(model.classification_result)
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except Exception:
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metadata = {}
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return Asset(
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id=model.id,
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workspace_id=model.workspace_id,
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project_id=model.project_id,
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library_id=model.asset_library_id,
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name=model.name,
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storage_key=model.file_url,
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mime_type=model.file_type,
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metadata=metadata,
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created_at=model.created_at,
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)
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