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chore: add test for SPA explore endpoints around missing datasets (#21303)
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@ -202,3 +202,15 @@ def test_get_all_datasources(session_with_data: Session) -> None:
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result = SqlaTable.get_all_datasources(session=session_with_data)
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result = SqlaTable.get_all_datasources(session=session_with_data)
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assert len(result) == 1
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assert len(result) == 1
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def test_not_found_datasource(session_with_data: Session) -> None:
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from superset.dao.exceptions import DatasourceNotFound
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from superset.datasource.dao import DatasourceDAO
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with pytest.raises(DatasourceNotFound):
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DatasourceDAO.get_datasource(
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datasource_type="table",
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datasource_id=500000,
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session=session_with_data,
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)
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@ -0,0 +1,30 @@
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# 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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from typing import Any
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import pytest
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def test_explore_datasource_not_found(client: Any, full_api_access: None) -> None:
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# validating the payload for a dataset that doesn't exist
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# user should be expecting missing_datasource view
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response = client.get(
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"/api/v1/explore/?dataset_id=50000&dataset_type=table",
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)
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response.json["result"]["dataset"]["name"] == "[Missing Dataset]"
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assert response.status_code == 200
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