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129 lines
5.0 KiB
Python
129 lines
5.0 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 Any
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from flask_appbuilder.models.sqla import Model
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from flask_babel import gettext as __
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from marshmallow import ValidationError
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from superset.commands.base import BaseCommand, CreateMixin
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from superset.commands.dataset.exceptions import (
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DatasetDuplicateFailedError,
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DatasetExistsValidationError,
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DatasetInvalidError,
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DatasetNotFoundError,
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)
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from superset.commands.exceptions import DatasourceTypeInvalidError
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from superset.connectors.sqla.models import SqlaTable, SqlMetric, TableColumn
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from superset.daos.dataset import DatasetDAO
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from superset.errors import ErrorLevel, SupersetError, SupersetErrorType
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from superset.exceptions import SupersetErrorException
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from superset.extensions import db
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from superset.models.core import Database
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from superset.sql.parse import Table
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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 DuplicateDatasetCommand(CreateMixin, BaseCommand):
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def __init__(self, data: dict[str, Any]) -> None:
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self._base_model: SqlaTable = SqlaTable()
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self._properties = data.copy()
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@transaction(on_error=partial(on_error, reraise=DatasetDuplicateFailedError))
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def run(self) -> Model:
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self.validate()
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database_id = self._base_model.database_id
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table_name = self._properties["table_name"]
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owners = self._properties["owners"]
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database = db.session.query(Database).get(database_id)
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if not database:
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raise SupersetErrorException(
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SupersetError(
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message=__("The database was not found."),
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error_type=SupersetErrorType.DATABASE_NOT_FOUND_ERROR,
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level=ErrorLevel.ERROR,
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),
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status=404,
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)
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table = SqlaTable(table_name=table_name, owners=owners)
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table.database = database
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table.schema = self._base_model.schema
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table.template_params = self._base_model.template_params
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table.normalize_columns = self._base_model.normalize_columns
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table.always_filter_main_dttm = self._base_model.always_filter_main_dttm
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table.is_sqllab_view = True
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table.sql = self._base_model.sql.strip().strip(";")
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db.session.add(table)
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cols = []
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for config_ in self._base_model.columns:
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column_name = config_.column_name
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col = TableColumn(
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column_name=column_name,
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verbose_name=config_.verbose_name,
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expression=config_.expression,
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filterable=True,
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groupby=True,
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is_dttm=config_.is_dttm,
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type=config_.type,
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description=config_.description,
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)
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cols.append(col)
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table.columns = cols
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mets = []
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for config_ in self._base_model.metrics:
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metric_name = config_.metric_name
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met = SqlMetric(
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metric_name=metric_name,
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verbose_name=config_.verbose_name,
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expression=config_.expression,
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metric_type=config_.metric_type,
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description=config_.description,
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)
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mets.append(met)
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table.metrics = mets
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return table
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def validate(self) -> None:
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exceptions: list[ValidationError] = []
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base_model_id = self._properties["base_model_id"]
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duplicate_name = self._properties["table_name"]
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base_model = DatasetDAO.find_by_id(base_model_id)
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if not base_model:
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exceptions.append(DatasetNotFoundError())
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else:
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self._base_model = base_model
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if self._base_model and self._base_model.kind != "virtual":
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exceptions.append(DatasourceTypeInvalidError())
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if DatasetDAO.find_one_or_none(table_name=duplicate_name):
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exceptions.append(DatasetExistsValidationError(table=Table(duplicate_name)))
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try:
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owners = self.populate_owners()
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self._properties["owners"] = owners
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except ValidationError as ex:
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exceptions.append(ex)
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if exceptions:
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raise DatasetInvalidError(exceptions=exceptions)
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