superset dao 源码

  • 2022-10-20
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superset dao 代码

文件路径:/superset/datasource/dao.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 Dict, Type, Union

from sqlalchemy.orm import Session

from superset.connectors.sqla.models import SqlaTable
from superset.dao.base import BaseDAO
from superset.dao.exceptions import DatasourceNotFound, DatasourceTypeNotSupportedError
from superset.datasets.models import Dataset
from superset.models.sql_lab import Query, SavedQuery
from superset.tables.models import Table
from superset.utils.core import DatasourceType

logger = logging.getLogger(__name__)

Datasource = Union[Dataset, SqlaTable, Table, Query, SavedQuery]


class DatasourceDAO(BaseDAO):

    sources: Dict[Union[DatasourceType, str], Type[Datasource]] = {
        DatasourceType.TABLE: SqlaTable,
        DatasourceType.QUERY: Query,
        DatasourceType.SAVEDQUERY: SavedQuery,
        DatasourceType.DATASET: Dataset,
        DatasourceType.SLTABLE: Table,
    }

    @classmethod
    def get_datasource(
        cls,
        session: Session,
        datasource_type: Union[DatasourceType, str],
        datasource_id: int,
    ) -> Datasource:
        if datasource_type not in cls.sources:
            raise DatasourceTypeNotSupportedError()

        datasource = (
            session.query(cls.sources[datasource_type])
            .filter_by(id=datasource_id)
            .one_or_none()
        )

        if not datasource:
            logger.warning(
                "Datasource not found datasource_type: %s, datasource_id: %s",
                datasource_type,
                datasource_id,
            )
            raise DatasourceNotFound()

        return datasource

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