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46 lines
1.6 KiB
Python
46 lines
1.6 KiB
Python
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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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import json
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def test_column_attributes_on_query():
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from superset.daos.query import QueryDAO
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from superset.models.core import Database
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from superset.models.sql_lab import Query
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db = Database(database_name="my_database", sqlalchemy_uri="sqlite://")
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query_obj = Query(
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client_id="foo",
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database=db,
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tab_name="test_tab",
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sql_editor_id="test_editor_id",
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sql="select * from bar",
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select_sql="select * from bar",
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executed_sql="select * from bar",
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limit=100,
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select_as_cta=False,
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rows=100,
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error_message="none",
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results_key="abc",
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)
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columns = [{"name": "test", "is_dttm": False, "type": "INT"}]
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payload = {"columns": columns}
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QueryDAO.save_metadata(query_obj, payload)
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assert "column_name" in json.loads(query_obj.extra_json).get("columns")[0]
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