58 lines
2.2 KiB
Python
58 lines
2.2 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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import logging
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from functools import partial
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from typing import Optional
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from superset import security_manager
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from superset.commands.base import BaseCommand
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from superset.commands.dataset.metrics.exceptions import (
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DatasetMetricDeleteFailedError,
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DatasetMetricForbiddenError,
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DatasetMetricNotFoundError,
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)
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from superset.connectors.sqla.models import SqlMetric
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from superset.daos.dataset import DatasetDAO, DatasetMetricDAO
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from superset.exceptions import SupersetSecurityException
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from superset.utils.decorators import on_error, transaction
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logger = logging.getLogger(__name__)
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class DeleteDatasetMetricCommand(BaseCommand):
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def __init__(self, dataset_id: int, model_id: int):
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self._dataset_id = dataset_id
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self._model_id = model_id
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self._model: Optional[SqlMetric] = None
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@transaction(on_error=partial(on_error, reraise=DatasetMetricDeleteFailedError))
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def run(self) -> None:
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self.validate()
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assert self._model
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DatasetMetricDAO.delete([self._model])
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def validate(self) -> None:
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# Validate/populate model exists
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self._model = DatasetDAO.find_dataset_metric(self._dataset_id, self._model_id)
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if not self._model:
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raise DatasetMetricNotFoundError()
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# Check ownership
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try:
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security_manager.raise_for_ownership(self._model)
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except SupersetSecurityException as ex:
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raise DatasetMetricForbiddenError() from ex
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