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