blob: 70dfb9f6d27935b7bfabe5209a03c7f2d745b96d [file] [log] [blame]
/* eslint-disable no-underscore-dangle */
/**
* 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 {
Annotation,
AnnotationData,
AnnotationLayer,
AnnotationOpacity,
AnnotationType,
isRecordAnnotationResult,
isTableAnnotationLayer,
isTimeseriesAnnotationResult,
TimeseriesDataRecord,
} from '@superset-ui/core';
import { parse as mathjsParse } from 'mathjs';
export function evalFormula(
formula: AnnotationLayer,
data: TimeseriesDataRecord[],
): [Date, number][] {
const { value } = formula;
const node = mathjsParse(value as string);
const func = node.compile();
return data.map(row => [
new Date(Number(row.__timestamp)),
func.evaluate({ x: row.__timestamp }) as number,
]);
}
export function parseAnnotationOpacity(opacity?: AnnotationOpacity): number {
switch (opacity) {
case AnnotationOpacity.Low:
return 0.2;
case AnnotationOpacity.Medium:
return 0.5;
case AnnotationOpacity.High:
return 0.8;
default:
return 1;
}
}
const NATIVE_COLUMN_NAMES = {
descriptionColumns: ['long_descr'],
intervalEndColumn: 'end_dttm',
timeColumn: 'start_dttm',
titleColumn: 'short_descr',
};
export function extractRecordAnnotations(
annotationLayer: AnnotationLayer,
annotationData: AnnotationData,
): Annotation[] {
const { name } = annotationLayer;
const result = annotationData[name];
if (isRecordAnnotationResult(result)) {
const { records } = result;
const {
descriptionColumns = [],
intervalEndColumn = '',
timeColumn = '',
titleColumn = '',
} = isTableAnnotationLayer(annotationLayer) ? annotationLayer : NATIVE_COLUMN_NAMES;
return records.map(record => ({
descriptions: descriptionColumns.map(column => (record[column] || '') as string) as string[],
intervalEnd: (record[intervalEndColumn] || '') as string,
time: (record[timeColumn] || '') as string,
title: (record[titleColumn] || '') as string,
}));
}
throw new Error('Please rerun the query.');
}
export function formatAnnotationLabel(
name?: string,
title?: string,
descriptions: string[] = [],
): string {
const labels: string[] = [];
const titleLabels: string[] = [];
const filteredDescriptions = descriptions.filter(description => !!description);
if (name) titleLabels.push(name);
if (title) titleLabels.push(title);
if (titleLabels.length > 0) labels.push(titleLabels.join(' - '));
if (filteredDescriptions.length > 0) labels.push(filteredDescriptions.join('\n'));
return labels.join('\n\n');
}
export function extractAnnotationLabels(layers: AnnotationLayer[], data: AnnotationData): string[] {
const formulaAnnotationLabels = layers
.filter(anno => anno.annotationType === AnnotationType.Formula && anno.show)
.map(anno => anno.name);
const timeseriesAnnotationLabels = layers
.filter(anno => anno.annotationType === AnnotationType.Timeseries && anno.show)
.flatMap(anno => {
const result = data[anno.name];
return isTimeseriesAnnotationResult(result) ? result.map(annoSeries => annoSeries.key) : [];
});
return formulaAnnotationLabels.concat(timeseriesAnnotationLabels);
}