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src/plugins/vis_type_vega/public/expressions/line_vega_spec_fn.test.js
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src/plugins/vis_type_vega/public/expressions/line_vega_spec_fn.ts
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/* | ||
* Copyright OpenSearch Contributors | ||
* SPDX-License-Identifier: Apache-2.0 | ||
*/ | ||
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import { cloneDeep } from 'lodash'; | ||
import { i18n } from '@osd/i18n'; | ||
import { | ||
ExpressionFunctionDefinition, | ||
OpenSearchDashboardsDatatable, | ||
OpenSearchDashboardsDatatableColumn, | ||
} from '../../../expressions/public'; | ||
import { VegaVisualizationDependencies } from '../plugin'; | ||
import { VislibDimensions, VisParams } from '../../../visualizations/public'; | ||
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type Input = OpenSearchDashboardsDatatable; | ||
type Output = Promise<string>; | ||
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interface Arguments { | ||
visLayers: string | null; | ||
visParams: string; | ||
dimensions: string; | ||
} | ||
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export type LineVegaSpecExpressionFunctionDefinition = ExpressionFunctionDefinition< | ||
'line_vega_spec', | ||
Input, | ||
Arguments, | ||
Output | ||
>; | ||
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// TODO: move this to the visualization plugin that has VisParams once all of these parameters have been better defined | ||
interface ValueAxis { | ||
id: string; | ||
labels: { | ||
filter: boolean; | ||
rotate: number; | ||
show: boolean; | ||
truncate: number; | ||
}; | ||
name: string; | ||
position: string; | ||
scale: { | ||
mode: string; | ||
type: string; | ||
}; | ||
show: true; | ||
style: any; | ||
title: { | ||
text: string; | ||
}; | ||
type: string; | ||
} | ||
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// Get the first xaxis field as only 1 setup of X Axis will be supported and | ||
// there won't be support for split series and split chart | ||
const getXAxisId = (dimensions: any, columns: OpenSearchDashboardsDatatableColumn[]): string => { | ||
return columns.filter((column) => column.name === dimensions.x.label)[0].id; | ||
}; | ||
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export const cleanString = (rawString: string): string => { | ||
return rawString.replaceAll('"', ''); | ||
}; | ||
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export const formatDataTable = ( | ||
datatable: OpenSearchDashboardsDatatable | ||
): OpenSearchDashboardsDatatable => { | ||
datatable.columns.forEach((column) => { | ||
// clean quotation marks from names in columns | ||
column.name = cleanString(column.name); | ||
}); | ||
return datatable; | ||
}; | ||
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export const setupConfig = (visParams: VisParams) => { | ||
const legendPosition = visParams.legendPosition; | ||
return { | ||
view: { | ||
stroke: null, | ||
}, | ||
concat: { | ||
spacing: 0, | ||
}, | ||
legend: { | ||
orient: legendPosition, | ||
}, | ||
}; | ||
}; | ||
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export const buildLayerMark = (seriesParams: { | ||
type: string; | ||
interpolate: string; | ||
lineWidth: number; | ||
showCircles: boolean; | ||
}) => { | ||
return { | ||
// Possible types are: line, area, histogram. The eligibility checker will | ||
// prevent area and histogram (though area works in vega-lite) | ||
type: seriesParams.type, | ||
// Possible types: linear, cardinal, step-after. All of these types work in vega-lite | ||
interpolate: seriesParams.interpolate, | ||
// The possible values is any number, which matches what vega-lite supports | ||
strokeWidth: seriesParams.lineWidth, | ||
// this corresponds to showing the dots in the visbuilder for each data point | ||
point: seriesParams.showCircles, | ||
}; | ||
}; | ||
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export const buildXAxis = ( | ||
xAxisTitle: string, | ||
xAxisId: string, | ||
startTime: number, | ||
endTime: number, | ||
visParams: VisParams | ||
) => { | ||
return { | ||
axis: { | ||
title: xAxisTitle, | ||
grid: visParams.grid.categoryLines, | ||
}, | ||
field: xAxisId, | ||
// Right now, the line charts can only set the x-axis value to be a date attribute, so | ||
// this should always be of type temporal | ||
type: 'temporal', | ||
scale: { | ||
domain: [startTime, endTime], | ||
}, | ||
}; | ||
}; | ||
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export const buildYAxis = ( | ||
column: OpenSearchDashboardsDatatableColumn, | ||
valueAxis: ValueAxis, | ||
visParams: VisParams | ||
) => { | ||
return { | ||
axis: { | ||
title: cleanString(valueAxis.title.text) || column.name, | ||
grid: visParams.grid.valueAxis, | ||
orient: valueAxis.position, | ||
labels: valueAxis.labels.show, | ||
labelAngle: valueAxis.labels.rotate, | ||
}, | ||
field: column.id, | ||
type: 'quantitative', | ||
}; | ||
}; | ||
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export const createSpecFromDatatable = ( | ||
datatable: OpenSearchDashboardsDatatable, | ||
visParams: VisParams, | ||
dimensions: VislibDimensions | ||
): object => { | ||
// TODO: we can try to use VegaSpec type but it is currently very outdated, where many | ||
// of the fields and sub-fields don't have other optional params that we want for customizing. | ||
// For now, we make this more loosely-typed by just specifying it as a generic object. | ||
const spec = {} as any; | ||
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spec.$schema = 'https://vega.github.io/schema/vega-lite/v5.json'; | ||
spec.data = { | ||
values: datatable.rows, | ||
}; | ||
spec.config = setupConfig(visParams); | ||
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// Get the valueAxes data and generate a map to easily fetch the different valueAxes data | ||
const valueAxis = new Map(); | ||
visParams?.valueAxes?.forEach((yAxis: ValueAxis) => { | ||
valueAxis.set(yAxis.id, yAxis); | ||
}); | ||
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spec.layer = [] as any[]; | ||
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if (datatable.rows.length > 0 && dimensions.x !== null) { | ||
const xAxisId = getXAxisId(dimensions, datatable.columns); | ||
const xAxisTitle = cleanString(dimensions.x.label); | ||
// get x-axis bounds for the chart | ||
const startTime = new Date(dimensions.x.params.bounds.min).valueOf(); | ||
const endTime = new Date(dimensions.x.params.bounds.max).valueOf(); | ||
let skip = 0; | ||
datatable.columns.forEach((column, index) => { | ||
// Check if it's not xAxis column data | ||
if (column.meta?.aggConfigParams?.interval !== undefined) { | ||
skip++; | ||
} else { | ||
const currentSeriesParams = visParams.seriesParams[index - skip]; | ||
const currentValueAxis = valueAxis.get(currentSeriesParams.valueAxis.toString()); | ||
let tooltip: Array<{ field: string; type: string; title: string }> = []; | ||
if (visParams.addTooltip) { | ||
tooltip = [ | ||
{ field: xAxisId, type: 'temporal', title: xAxisTitle }, | ||
{ field: column.id, type: 'quantitative', title: column.name }, | ||
]; | ||
} | ||
spec.layer.push({ | ||
mark: buildLayerMark(currentSeriesParams), | ||
encoding: { | ||
x: buildXAxis(xAxisTitle, xAxisId, startTime, endTime, visParams), | ||
y: buildYAxis(column, currentValueAxis, visParams), | ||
tooltip, | ||
color: { | ||
// This ensures all the different metrics have their own distinct and unique color | ||
datum: column.name, | ||
}, | ||
}, | ||
}); | ||
} | ||
}); | ||
} | ||
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if (visParams.addTimeMarker) { | ||
spec.transform = [ | ||
{ | ||
calculate: 'now()', | ||
as: 'now_field', | ||
}, | ||
]; | ||
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spec.layer.push({ | ||
mark: 'rule', | ||
encoding: { | ||
x: { | ||
type: 'temporal', | ||
field: 'now_field', | ||
}, | ||
// The time marker on vislib is red, so keeping this consistent | ||
color: { | ||
value: 'red', | ||
}, | ||
size: { | ||
value: 1, | ||
}, | ||
}, | ||
}); | ||
} | ||
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if (visParams.thresholdLine.show as boolean) { | ||
const layer = { | ||
mark: { | ||
type: 'rule', | ||
color: visParams.thresholdLine.color, | ||
strokeDash: [1, 0], | ||
}, | ||
encoding: { | ||
y: { | ||
datum: visParams.thresholdLine.value, | ||
}, | ||
}, | ||
}; | ||
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// Can only support making a threshold line with full or dashed style, but not dot-dashed | ||
// due to vega-lite limitations | ||
if (visParams.thresholdLine.style !== 'full') { | ||
layer.mark.strokeDash = [8, 8]; | ||
} | ||
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spec.layer.push(layer); | ||
} | ||
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return spec; | ||
}; | ||
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export const createLineVegaSpecFn = ( | ||
dependencies: VegaVisualizationDependencies | ||
): LineVegaSpecExpressionFunctionDefinition => ({ | ||
name: 'line_vega_spec', | ||
type: 'string', | ||
inputTypes: ['opensearch_dashboards_datatable'], | ||
help: i18n.translate('visTypeVega.function.help', { | ||
defaultMessage: 'Construct line vega spec', | ||
}), | ||
args: { | ||
visLayers: { | ||
types: ['string', 'null'], | ||
default: '', | ||
help: '', | ||
}, | ||
visParams: { | ||
types: ['string'], | ||
default: '""', | ||
help: '', | ||
}, | ||
dimensions: { | ||
types: ['string'], | ||
default: '""', | ||
help: '', | ||
}, | ||
}, | ||
async fn(input, args, context) { | ||
const table = cloneDeep(input); | ||
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// creating initial vega spec from table | ||
const spec = createSpecFromDatatable( | ||
formatDataTable(table), | ||
JSON.parse(args.visParams), | ||
JSON.parse(args.dimensions) | ||
); | ||
return JSON.stringify(spec); | ||
}, | ||
}); |
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