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adx-query-charts
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adx-query-charts/test/seriesVisualize.test.ts

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28 KiB
TypeScript
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'use strict';
import { SeriesVisualize } from '../src/transformers/seriesVisualize';
import { IQueryResultData, DraftColumnType, IColumn } from '../src/common/chartModels';
interface ITestParams {
queryResultData: IQueryResultData;
expectedResults: IQueryResultData;
}
describe('Unit tests for series visualization class', () => {
//#region Test models getters
// Model that tests basic series
function getHappyTestParams(): ITestParams {
const rows = [
['[1,2,3]', 'seg1', '["2016-11-10T06:00:00.0000000Z","2016-11-10T07:00:00.0000000Z","2016-11-10T08:00:00.0000000Z"]', '[-473527419.17344036,-463977987.2103976,-454428555.24735489]'],
['[4,5,6]', 'seg2', '["2016-11-10T06:00:00.0000000Z","2016-11-10T07:00:00.0000000Z","2016-11-10T08:00:00.0000000Z"]', '[-502175715.06256857,-492626283.0995258,-483076851.1364831]']
];
const columns: IColumn[] = [
{ type: DraftColumnType.Dynamic, name: 'values1' },
{ type: DraftColumnType.String, name: 'segment' },
{ type: DraftColumnType.Dynamic, name: 'timestamp' },
{ type: DraftColumnType.Dynamic, name: 'values2' }
];
const expectedRows = [
[1, 'seg1', '2016-11-10T06:00:00.0000000Z', -473527419.17344036],
[2, 'seg1', '2016-11-10T07:00:00.0000000Z', -463977987.2103976],
[3, 'seg1', '2016-11-10T08:00:00.0000000Z', -454428555.24735489],
[4, 'seg2', '2016-11-10T06:00:00.0000000Z', -502175715.06256857],
[5, 'seg2', '2016-11-10T07:00:00.0000000Z', -492626283.0995258],
[6, 'seg2', '2016-11-10T08:00:00.0000000Z', -483076851.1364831]
];
const expectedColumns: IColumn[] = [
{ name: 'values1', type: DraftColumnType.Real },
{ name: 'segment', type: DraftColumnType.String },
{ name: 'timestamp', type: DraftColumnType.DateTime },
{ name: 'values2', type: DraftColumnType.Real }
];
return {
queryResultData: { rows: rows, columns: columns },
expectedResults: { rows: expectedRows, columns: expectedColumns }
};
}
// Model that tests valid series where all number values are zero
function getZeroNumbersHappyTestParams(): ITestParams {
const rows = [
[
'AIAnalyticsPortal-INT',
'[0,0,0,0,0,0,0,0,0,0]',
'[0,0,0,0,0,0,0,0,0,0]',
'["2020-08-01T06:25:10.1488180Z","2020-08-01T06:55:10.1488180Z","2020-08-01T07:25:10.1488180Z","2020-08-01T07:55:10.1488180Z","2020-08-01T08:25:10.1488180Z","2020-08-01T08:55:10.1488180Z","2020-08-01T09:25:10.1488180Z","2020-08-01T09:55:10.1488180Z","2020-08-01T10:25:10.1488180Z","2020-08-01T10:55:10.1488180Z"]'
],
];
const columns: IColumn[] = [
{ type: DraftColumnType.String, name: 'appName' },
{ type: DraftColumnType.Dynamic, name: 'sum_value' },
{ type: DraftColumnType.Dynamic, name: 'default' },
{ type: DraftColumnType.Dynamic, name: 'timestamp' }
];
const expectedRows = [
['AIAnalyticsPortal-INT', 0, 0, '2020-08-01T06:25:10.1488180Z'],
['AIAnalyticsPortal-INT', 0, 0, '2020-08-01T06:55:10.1488180Z'],
['AIAnalyticsPortal-INT', 0, 0, '2020-08-01T07:25:10.1488180Z'],
['AIAnalyticsPortal-INT', 0, 0, '2020-08-01T07:55:10.1488180Z'],
['AIAnalyticsPortal-INT', 0, 0, '2020-08-01T08:25:10.1488180Z'],
['AIAnalyticsPortal-INT', 0, 0, '2020-08-01T08:55:10.1488180Z'],
['AIAnalyticsPortal-INT', 0, 0, '2020-08-01T09:25:10.1488180Z'],
['AIAnalyticsPortal-INT', 0, 0, '2020-08-01T09:55:10.1488180Z'],
['AIAnalyticsPortal-INT', 0, 0, '2020-08-01T10:25:10.1488180Z'],
['AIAnalyticsPortal-INT', 0, 0, '2020-08-01T10:55:10.1488180Z']
];
const expectedColumns: IColumn[] = [
{ name: 'appName', type: DraftColumnType.String },
{ name: 'sum_value', type: DraftColumnType.Real },
{ name: 'default', type: DraftColumnType.Real },
{ name: 'timestamp', type: DraftColumnType.DateTime }
];
return {
queryResultData: { rows: rows, columns: columns },
expectedResults: { rows: expectedRows, columns: expectedColumns }
};
}
// Model that tests valid series where all number values are 1
function getOneNumbersHappyTestParams(): ITestParams {
const rows = [
[
'AIAnalyticsPortal-INT',
'[1,1,1,1,1,1,1,1,1,1]',
'[1,1,1,1,1,1,1,1,1,1]',
'["2020-08-01T06:25:10.1488180Z","2020-08-01T06:55:10.1488180Z","2020-08-01T07:25:10.1488180Z","2020-08-01T07:55:10.1488180Z","2020-08-01T08:25:10.1488180Z","2020-08-01T08:55:10.1488180Z","2020-08-01T09:25:10.1488180Z","2020-08-01T09:55:10.1488180Z","2020-08-01T10:25:10.1488180Z","2020-08-01T10:55:10.1488180Z"]'
],
];
const columns: IColumn[] = [
{ type: DraftColumnType.String, name: 'appName' },
{ type: DraftColumnType.Dynamic, name: 'sum_value' },
{ type: DraftColumnType.Dynamic, name: 'default' },
{ type: DraftColumnType.Dynamic, name: 'timestamp' }
];
const expectedRows = [
['AIAnalyticsPortal-INT', 1, 1, '2020-08-01T06:25:10.1488180Z'],
['AIAnalyticsPortal-INT', 1, 1, '2020-08-01T06:55:10.1488180Z'],
['AIAnalyticsPortal-INT', 1, 1, '2020-08-01T07:25:10.1488180Z'],
['AIAnalyticsPortal-INT', 1, 1, '2020-08-01T07:55:10.1488180Z'],
['AIAnalyticsPortal-INT', 1, 1, '2020-08-01T08:25:10.1488180Z'],
['AIAnalyticsPortal-INT', 1, 1, '2020-08-01T08:55:10.1488180Z'],
['AIAnalyticsPortal-INT', 1, 1, '2020-08-01T09:25:10.1488180Z'],
['AIAnalyticsPortal-INT', 1, 1, '2020-08-01T09:55:10.1488180Z'],
['AIAnalyticsPortal-INT', 1, 1, '2020-08-01T10:25:10.1488180Z'],
['AIAnalyticsPortal-INT', 1, 1, '2020-08-01T10:55:10.1488180Z']
];
const expectedColumns: IColumn[] = [
{ name: 'appName', type: DraftColumnType.String },
{ name: 'sum_value', type: DraftColumnType.Real },
{ name: 'default', type: DraftColumnType.Real },
{ name: 'timestamp', type: DraftColumnType.DateTime }
];
return {
queryResultData: { rows: rows, columns: columns },
expectedResults: { rows: expectedRows, columns: expectedColumns }
};
}
// Model that tests valid multi series values
function getMultiSeriesHappyTestParams(): ITestParams {
const rows = [
[
'["2020-07-26T06:00:00.0000000Z","2020-07-26T12:00:00.0000000Z","2020-07-26T18:00:00.0000000Z","2020-07-27T00:00:00.0000000Z","2020-07-27T06:00:00.0000000Z","2020-07-27T12:00:00.0000000Z","2020-07-27T18:00:00.0000000Z","2020-07-28T00:00:00.0000000Z","2020-07-28T06:00:00.0000000Z","2020-07-28T12:00:00.0000000Z"]',
0.06703198044804248,
-184.4472906403939,
36795992.04433497,
34329483.82505278,
39427.192118226594,
'[39242.7448275862,39058.29753694581,38873.85024630541,38689.40295566502,38504.95566502462,38320.50837438423,38136.061083743836,37951.61379310345,37767.16650246305,37582.71921182265]',
'[21658.2,29227.4,36827.4,38066.6,38065.200000000004,37986.600000000006,38011.2,38031.8,37963.2,37962.8]'
],
];
const columns: IColumn[] = [
{ type: DraftColumnType.Dynamic, name: "Timestamp" },
{ type: DraftColumnType.Real, name: "series_fit_line_items_rsquare" },
{ type: DraftColumnType.Real, name: "series_fit_line_items_slope" },
{ type: DraftColumnType.Real, name: "series_fit_line_items_variance" },
{ type: DraftColumnType.Real, name: "series_fit_line_items_rvariance" },
{ type: DraftColumnType.Real, name: "series_fit_line_items_interception" },
{ type: DraftColumnType.Dynamic, name: "Trend" },
{ type: DraftColumnType.Dynamic, name: "SmoothedCount"},
];
const expectedRows = [
['2020-07-26T06:00:00.0000000Z', 0.06703198044804248, -184.4472906403939, 36795992.04433497, 34329483.82505278, 39427.192118226594, 39242.7448275862, 21658.2],
['2020-07-26T12:00:00.0000000Z', 0.06703198044804248, -184.4472906403939, 36795992.04433497, 34329483.82505278, 39427.192118226594, 39058.29753694581, 29227.4],
['2020-07-26T18:00:00.0000000Z', 0.06703198044804248, -184.4472906403939, 36795992.04433497, 34329483.82505278, 39427.192118226594, 38873.85024630541, 36827.4],
['2020-07-27T00:00:00.0000000Z', 0.06703198044804248, -184.4472906403939, 36795992.04433497, 34329483.82505278, 39427.192118226594, 38689.40295566502, 38066.6],
['2020-07-27T06:00:00.0000000Z', 0.06703198044804248, -184.4472906403939, 36795992.04433497, 34329483.82505278, 39427.192118226594, 38504.95566502462, 38065.200000000004],
['2020-07-27T12:00:00.0000000Z', 0.06703198044804248, -184.4472906403939, 36795992.04433497, 34329483.82505278, 39427.192118226594, 38320.50837438423, 37986.600000000006],
['2020-07-27T18:00:00.0000000Z', 0.06703198044804248, -184.4472906403939, 36795992.04433497, 34329483.82505278, 39427.192118226594, 38136.061083743836, 38011.2],
['2020-07-28T00:00:00.0000000Z', 0.06703198044804248, -184.4472906403939, 36795992.04433497, 34329483.82505278, 39427.192118226594, 37951.61379310345, 38031.8],
['2020-07-28T06:00:00.0000000Z', 0.06703198044804248, -184.4472906403939, 36795992.04433497, 34329483.82505278, 39427.192118226594, 37767.16650246305, 37963.2],
['2020-07-28T12:00:00.0000000Z', 0.06703198044804248, -184.4472906403939, 36795992.04433497, 34329483.82505278, 39427.192118226594, 37582.71921182265, 37962.8]
];
const expectedColumns: IColumn[] = [
{ type: DraftColumnType.DateTime, name: "Timestamp" },
{ type: DraftColumnType.Real, name: "series_fit_line_items_rsquare" },
{ type: DraftColumnType.Real, name: "series_fit_line_items_slope" },
{ type: DraftColumnType.Real, name: "series_fit_line_items_variance" },
{ type: DraftColumnType.Real, name: "series_fit_line_items_rvariance" },
{ type: DraftColumnType.Real, name: "series_fit_line_items_interception" },
{ type: DraftColumnType.Real, name: "Trend" },
{ type: DraftColumnType.Real, name: "SmoothedCount"},
];
return {
queryResultData: { rows: rows, columns: columns },
expectedResults: { rows: expectedRows, columns: expectedColumns }
};
}
// Model that tests non-series results - the info should not be changed.
function getNonSeriesResultsTestParams(): ITestParams {
const rows = [
[2, 'seg1', '2016-11-10T06:00:00.0000000Z', '[-473527419.17344036,-463977987.2103976,-454428555.24735489'],
[5, 'seg2', '2016-11-10T06:00:00.0000000Z', '[-502175715.06256857,-492626283.0995258,-483076851.1364831]']
];
const columns: IColumn[] = [
{ name: 'values1', type: DraftColumnType.Real },
{ name: 'segment', type: DraftColumnType.String },
{ name: 'timestamp', type: DraftColumnType.DateTime },
{ name: 'values2', type: DraftColumnType.Dynamic }
];
return {
queryResultData: { rows: rows, columns: columns },
expectedResults: null
};
}
// Model that test the addition of a segment column when such isn't exist.
function getMissingSegmentTestParams(): ITestParams {
const rows = [
['[1,2,3]', '["2016-11-10T06:00:00.0000000Z","2016-11-10T07:00:00.0000000Z","2016-11-10T08:00:00.0000000Z"]', '[-473527419.17344036,-463977987.2103976,-454428555.24735489]']
];
const columns: IColumn[] = [
{ name: 'values1', type: DraftColumnType.Dynamic },
{ name: 'timestamp', type: DraftColumnType.Dynamic },
{ name: 'values2', type: DraftColumnType.Dynamic }
];
const expectedRows = [
[1, '2016-11-10T06:00:00.0000000Z', -473527419.17344036],
[2, '2016-11-10T07:00:00.0000000Z', -463977987.2103976],
[3, '2016-11-10T08:00:00.0000000Z', -454428555.24735489]
];
const expectedColumns: IColumn[] = [
{ name: 'values1', type: DraftColumnType.Real },
{ name: 'timestamp', type: DraftColumnType.DateTime },
{ name: 'values2', type: DraftColumnType.Real },
];
return {
queryResultData: { rows: rows, columns: columns },
expectedResults: { rows: expectedRows, columns: expectedColumns }
};
}
// Model that test that a segment column is not added even if one doesn't exist because the result only has one row.
function getMissingSegmentButOneRowOnlyTestParams(): ITestParams {
const rows = [
['[1,2,3]', '["2016-11-10T06:00:00.0000000Z","2016-11-10T07:00:00.0000000Z","2016-11-10T08:00:00.0000000Z"]', '[-473527419.17344036,-463977987.2103976,-454428555.24735489]'],
['[4,5,6]', '["2016-11-10T06:00:00.0000000Z","2016-11-10T07:00:00.0000000Z","2016-11-10T08:00:00.0000000Z"]', '[-502175715.06256857,-492626283.0995258,-483076851.1364831]']
];
const columns: IColumn[] = [
{ name: 'values1', type: DraftColumnType.Dynamic },
{ name: 'timestamp', type: DraftColumnType.Dynamic },
{ name: 'values2', type: DraftColumnType.Dynamic }
];
const expectedRows = [
[1, '2016-11-10T06:00:00.0000000Z', -473527419.17344036, 'timeSeries_1'],
[2, '2016-11-10T07:00:00.0000000Z', -463977987.2103976, 'timeSeries_1'],
[3, '2016-11-10T08:00:00.0000000Z', -454428555.24735489, 'timeSeries_1'],
[4, '2016-11-10T06:00:00.0000000Z', -502175715.06256857, 'timeSeries_2'],
[5, '2016-11-10T07:00:00.0000000Z', -492626283.0995258, 'timeSeries_2'],
[6, '2016-11-10T08:00:00.0000000Z', -483076851.1364831, 'timeSeries_2']
];
const expectedColumns: IColumn[] = [
{ name: 'values1', type: DraftColumnType.Real },
{ name: 'timestamp', type: DraftColumnType.DateTime },
{ name: 'values2', type: DraftColumnType.Real },
{ name: 'time_series', type: DraftColumnType.String }
];
return {
queryResultData: { rows: rows, columns: columns },
expectedResults: { rows: expectedRows, columns: expectedColumns }
};
}
/*
* Model that test plugin V2 scenario - series
*/
function getPluginV2WithSeriesTestParams(): ITestParams {
const rows = [
['[1,2,3]', 'seg1', '["2016-11-10T06:00:00.0000000Z","2016-11-10T07:00:00.0000000Z","2016-11-10T08:00:00.0000000Z"]', '[-473527419.17344036,-463977987.2103976,-454428555.24735489]'],
['[4,5,6]', 'seg2', '["2016-11-10T06:00:00.0000000Z","2016-11-10T07:00:00.0000000Z","2016-11-10T08:00:00.0000000Z"]', '[-502175715.06256857,-492626283.0995258,-483076851.1364831]']
];
const columns: IColumn[] = [
{ name: 'values1', type: DraftColumnType.Dynamic },
{ name: 'segment', type: DraftColumnType.String },
{ name: 'timestamp', type: DraftColumnType.Dynamic },
{ name: 'values2', type: DraftColumnType.Dynamic }
];
const expectedRows = [
[1, 'seg1', '2016-11-10T06:00:00.0000000Z', -473527419.17344036],
[2, 'seg1', '2016-11-10T07:00:00.0000000Z', -463977987.2103976],
[3, 'seg1', '2016-11-10T08:00:00.0000000Z', -454428555.24735489],
[4, 'seg2', '2016-11-10T06:00:00.0000000Z', -502175715.06256857],
[5, 'seg2', '2016-11-10T07:00:00.0000000Z', -492626283.0995258],
[6, 'seg2', '2016-11-10T08:00:00.0000000Z', -483076851.1364831]
];
const expectedColumns: IColumn[] = [
{ name: 'values1', type: DraftColumnType.Real },
{ name: 'segment', type: DraftColumnType.String },
{ name: 'timestamp', type: DraftColumnType.DateTime },
{ name: 'values2', type: DraftColumnType.Real }
];
return {
queryResultData: { rows: rows, columns: columns },
expectedResults: { rows: expectedRows, columns: expectedColumns }
};
}
/*
* Model that test plugin V2 scenario - not series
*/
function getPluginV2WithoutSeriesTestParams(): ITestParams {
const rows = [
[2, 'seg1', '2016-11-10T06:00:00.0000000Z', '[-473527419.17344036,-463977987.2103976,-454428555.24735489'],
[5, 'seg2', '2016-11-10T06:00:00.0000000Z', '[-502175715.06256857,-492626283.0995258,-483076851.1364831]']
];
const columns: IColumn[] = [
{ name: 'values1', type: DraftColumnType.Real },
{ name: 'segment', type: DraftColumnType.String },
{ name: 'timestamp', type: DraftColumnType.DateTime },
{ name: 'values2', type: DraftColumnType.Dynamic }
];
return {
queryResultData: { rows: rows, columns: columns },
expectedResults: null
};
}
// Model that test scenario when no values array found - the info should not be changed.
function getNoValuesTestParams(): ITestParams {
const rows = [
['seg1', '["2016-11-10T06:00:00.0000000Z","2016-11-10T07:00:00.0000000Z","2016-11-10T08:00:00.0000000Z"]'],
['seg2', '["2016-11-10T06:00:00.0000000Z","2016-11-10T07:00:00.0000000Z","2016-11-10T08:00:00.0000000Z"]']
];
const columns: IColumn[] = [
{ name: 'segment', type: DraftColumnType.String },
{ name: 'timestamp', type: DraftColumnType.Dynamic },
];
return {
queryResultData: { rows: rows, columns: columns },
expectedResults: null
};
}
// Model that test scenario when no timestamp array found - the info should not be changed.
function getNoTimestampTestParams(): ITestParams {
const rows = [
['[1,2,3]', 'seg1', '[-473527419.17344036,-463977987.2103976,-454428555.24735489]'],
['[4,5,6]', 'seg2', '[-502175715.06256857,-492626283.0995258,-483076851.1364831]']
];
const columns: IColumn[] = [
{ name: 'values1', type: DraftColumnType.Dynamic },
{ name: 'segment', type: DraftColumnType.String },
{ name: 'values2', type: DraftColumnType.Dynamic }
];
return {
queryResultData: { rows: rows, columns: columns },
expectedResults: null
};
}
// Model that tests that columns with array length that different from the timestamp array length - will be treated as string - copy the values for all rows.
function getArrayWithNotSymmetricValuesTestParams(): ITestParams {
const rows = [
['[1,2,3]', 'seg1', '["2016-11-10T06:00:00.0000000Z","2016-11-10T07:00:00.0000000Z","2016-11-10T08:00:00.0000000Z"]', '[-473527419.17344036,-463977987.2103976,-454428555.24735489]'],
['[4,6]', 'seg2', '["2016-11-10T06:00:00.0000000Z","2016-11-10T07:00:00.0000000Z","2016-11-10T08:00:00.0000000Z"]', '[-502175715.06256857,-492626283.0995258,-483076851.1364831]']
];
const columns: IColumn[] = [
{ name: 'values1', type: DraftColumnType.Dynamic },
{ name: 'segment', type: DraftColumnType.String },
{ name: 'timestamp', type: DraftColumnType.Dynamic },
{ name: 'values2', type: DraftColumnType.Dynamic }
];
const expectedRows = [
['[1,2,3]', 'seg1', '2016-11-10T06:00:00.0000000Z', -473527419.17344036],
['[1,2,3]', 'seg1', '2016-11-10T07:00:00.0000000Z', -463977987.2103976],
['[1,2,3]', 'seg1', '2016-11-10T08:00:00.0000000Z', -454428555.24735489],
['[4,6]', 'seg2', '2016-11-10T06:00:00.0000000Z', -502175715.06256857],
['[4,6]', 'seg2', '2016-11-10T07:00:00.0000000Z', -492626283.0995258],
['[4,6]', 'seg2', '2016-11-10T08:00:00.0000000Z', -483076851.1364831]
];
const expectedColumns: IColumn[] = [
{ name: 'values1', type: DraftColumnType.Dynamic },
{ name: 'segment', type: DraftColumnType.String },
{ name: 'timestamp', type: DraftColumnType.DateTime },
{ name: 'values2', type: DraftColumnType.Real }
];
return {
queryResultData: { rows: rows, columns: columns },
expectedResults: { rows: expectedRows, columns: expectedColumns }
};
}
// Model that tests columns with array that contains item with different types - will be treated as string - copy the values for all rows.
function getArrayWithDifferentTypesTestParams(): ITestParams {
const rows = [
['[1,"2",3]', 'seg1', '["2016-11-10T06:00:00.0000000Z","2016-11-10T07:00:00.0000000Z","2016-11-10T08:00:00.0000000Z"]', '[-473527419.17344036,-463977987.2103976,-454428555.24735489]'],
['[4,5,6]', 'seg2', '["2016-11-10T06:00:00.0000000Z","2016-11-10T07:00:00.0000000Z","2016-11-10T08:00:00.0000000Z"]', '[-502175715.06256857,-492626283.0995258,-483076851.1364831]']
];
const columns: IColumn[] = [
{ name: 'values1', type: DraftColumnType.Dynamic },
{ name: 'segment', type: DraftColumnType.String },
{ name: 'timestamp', type: DraftColumnType.Dynamic },
{ name: 'values2', type: DraftColumnType.Dynamic }
];
const expectedRows = [
['[1,"2",3]', 'seg1', '2016-11-10T06:00:00.0000000Z', -473527419.17344036],
['[1,"2",3]', 'seg1', '2016-11-10T07:00:00.0000000Z', -463977987.2103976],
['[1,"2",3]', 'seg1', '2016-11-10T08:00:00.0000000Z', -454428555.24735489],
['[4,5,6]', 'seg2', '2016-11-10T06:00:00.0000000Z', -502175715.06256857],
['[4,5,6]', 'seg2', '2016-11-10T07:00:00.0000000Z', -492626283.0995258],
['[4,5,6]', 'seg2', '2016-11-10T08:00:00.0000000Z', -483076851.1364831]
];
const expectedColumns: IColumn[] = [
{ name: 'values1', type: DraftColumnType.Dynamic },
{ name: 'segment', type: DraftColumnType.String },
{ name: 'timestamp', type: DraftColumnType.DateTime },
{ name: 'values2', type: DraftColumnType.Real }
];
return {
queryResultData: { rows: rows, columns: columns },
expectedResults: { rows: expectedRows, columns: expectedColumns }
};
}
// Model that tests scenario that has two timestamp arrays
function getTwoTimestampArraysTestParams(): ITestParams {
const rows = [
['[1,2,3]', 'seg1', '["2016-11-10T06:00:00.0000000Z","2016-11-10T07:00:00.0000000Z","2016-11-10T08:00:00.0000000Z"]', '[-473527419.17344036,-463977987.2103976,-454428555.24735489]', '["2016-11-10T06:00:00.0000000Z","2016-11-10T07:00:00.0000000Z","2016-11-10T08:00:00.0000000Z"]'],
['[4,5,6]', 'seg2', '["2016-11-10T06:00:00.0000000Z","2016-11-10T07:00:00.0000000Z","2016-11-10T08:00:00.0000000Z"]', '[-502175715.06256857,-492626283.0995258,-483076851.1364831]', '["2016-11-10T06:00:00.0000000Z","2016-11-10T07:00:00.0000000Z","2016-11-10T08:00:00.0000000Z"]']
];
const columns: IColumn[] = [
{ name: 'values1', type: DraftColumnType.Dynamic },
{ name: 'segment', type: DraftColumnType.String },
{ name: 'timestamp', type: DraftColumnType.Dynamic },
{ name: 'values2', type: DraftColumnType.Dynamic },
{ name: 'timestamp2', type: DraftColumnType.Dynamic }
];
const expectedRows = [
[1, 'seg1', '2016-11-10T06:00:00.0000000Z', -473527419.17344036, '2016-11-10T06:00:00.0000000Z'],
[2, 'seg1', '2016-11-10T07:00:00.0000000Z', -463977987.2103976, '2016-11-10T07:00:00.0000000Z'],
[3, 'seg1', '2016-11-10T08:00:00.0000000Z', -454428555.24735489, '2016-11-10T08:00:00.0000000Z'],
[4, 'seg2', '2016-11-10T06:00:00.0000000Z', -502175715.06256857, '2016-11-10T06:00:00.0000000Z'],
[5, 'seg2', '2016-11-10T07:00:00.0000000Z', -492626283.0995258, '2016-11-10T07:00:00.0000000Z'],
[6, 'seg2', '2016-11-10T08:00:00.0000000Z', -483076851.1364831, '2016-11-10T08:00:00.0000000Z']
];
const expectedColumns: IColumn[] = [
{ name: 'values1', type: DraftColumnType.Real },
{ name: 'segment', type: DraftColumnType.String },
{ name: 'timestamp', type: DraftColumnType.DateTime },
{ name: 'values2', type: DraftColumnType.Real },
{ name: 'timestamp2', type: DraftColumnType.DateTime }
];
return {
queryResultData: { rows: rows, columns: columns },
expectedResults: { rows: expectedRows, columns: expectedColumns }
};
}
//#endregion Test models getters
//#region Private helper tests
function areColumnsEqual(actualColumns: IColumn[], expectedColumns: IColumn[]): boolean {
if (actualColumns.length !== expectedColumns.length) {
return false;
}
for (let i = 0; i < actualColumns.length; i++) {
const actualColumn = actualColumns[i];
const expectedColumn = expectedColumns[i];
if (actualColumn.name !== expectedColumn.name || actualColumn.type !== expectedColumn.type) {
return false;
}
}
return true;
}
//#endregion Private helper tests
//#region Tests suite
function testTryResolveResultsAsSeries(getTestParamsFn: () => ITestParams, testName: string): void {
it('Testing tryResolveAsSeries ' + testName, () => {
// Init
const testParams: ITestParams = getTestParamsFn();
const queryResultData = testParams.queryResultData;
const expectedResults = testParams.expectedResults;
// Act
const seriesVisualize = SeriesVisualize.getInstance();
const updatedResults = seriesVisualize.tryResolveResultsAsSeries(queryResultData);
// Assert
if (updatedResults) {
expect(updatedResults.rows).toEqual(expectedResults.rows);
expect(areColumnsEqual(updatedResults.columns, expectedResults.columns)).toEqual(true);
} else {
expect(expectedResults).toEqual(null);
}
});
}
describe('Testing tryResolveResultsAsSeries', () => {
testTryResolveResultsAsSeries(getHappyTestParams, 'Happy flow');
testTryResolveResultsAsSeries(getZeroNumbersHappyTestParams, 'Happy flow - zero numbers');
testTryResolveResultsAsSeries(getOneNumbersHappyTestParams, 'Happy flow - 1 numbers');
testTryResolveResultsAsSeries(getMultiSeriesHappyTestParams, 'Happy flow - multi series');
testTryResolveResultsAsSeries(getNonSeriesResultsTestParams, 'NonSeriesResults');
testTryResolveResultsAsSeries(getMissingSegmentTestParams, 'MissingSegment');
testTryResolveResultsAsSeries(getMissingSegmentButOneRowOnlyTestParams, 'MissingSegmentButOneRowOnly');
testTryResolveResultsAsSeries(getPluginV2WithSeriesTestParams, 'V2PluginHappyFlow');
testTryResolveResultsAsSeries(getPluginV2WithoutSeriesTestParams, 'V2PluginNoSeries');
testTryResolveResultsAsSeries(getNoValuesTestParams, 'MissingValues');
testTryResolveResultsAsSeries(getNoTimestampTestParams, 'MissingTimestamp');
testTryResolveResultsAsSeries(getArrayWithNotSymmetricValuesTestParams, 'NotSymmetric');
testTryResolveResultsAsSeries(getArrayWithDifferentTypesTestParams, 'WithDifferentTypes');
testTryResolveResultsAsSeries(getTwoTimestampArraysTestParams, 'TwoTimestamps');
});
//#endregion Tests suite
});
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