| /** |
| * 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 { GenericDataType, QueryColumn, QueryResponse } from '@superset-ui/core'; |
| import { ColumnMeta, Dataset, isDataset, isQueryResponse } from '../types'; |
| |
| export function columnsByType( |
| datasource?: Dataset | QueryResponse | null, |
| type?: GenericDataType, |
| ): (ColumnMeta | QueryColumn)[] { |
| if (isDataset(datasource) || isQueryResponse(datasource)) { |
| const columns = datasource.columns as (ColumnMeta | QueryColumn)[]; |
| const filteredColumns = columns.filter( |
| col => type === undefined || col.type_generic === type, |
| ); |
| return filteredColumns.sort( |
| (col1: ColumnMeta | QueryColumn, col2: ColumnMeta | QueryColumn) => { |
| const opt1Name = |
| 'verbose_name' in col1 |
| ? col1.verbose_name || col1.column_name |
| : col1.column_name; |
| const opt2Name = |
| 'verbose_name' in col2 |
| ? col2.verbose_name || col2.column_name |
| : col2.column_name; |
| return opt1Name.toLowerCase() > opt2Name.toLowerCase() ? 1 : -1; |
| }, |
| ); |
| } |
| return []; |
| } |
| |
| /** |
| * Convert Datasource columns to column choices |
| */ |
| export default function columnChoices( |
| datasource?: Dataset | QueryResponse | null, |
| type?: GenericDataType, |
| ): [string, string][] { |
| return columnsByType(datasource, type).map( |
| (col: ColumnMeta | QueryColumn): [string, string] => [ |
| col.column_name, |
| 'verbose_name' in col |
| ? col.verbose_name || col.column_name |
| : col.column_name, |
| ], |
| ); |
| } |