UNPKG

@gitlab/ui

Version:
333 lines (322 loc) • 7.27 kB
import { WHITE, GRAY_50, GRAY_100, GRAY_200, GRAY_300, GRAY_500, GRAY_600, GRAY_900, RED_500, DATA_VIZ_AQUA_50, DATA_VIZ_AQUA_100, DATA_VIZ_AQUA_200, DATA_VIZ_AQUA_300, DATA_VIZ_AQUA_400, DATA_VIZ_AQUA_500, DATA_VIZ_AQUA_600, DATA_VIZ_AQUA_700, DATA_VIZ_AQUA_800, DATA_VIZ_AQUA_900, DATA_VIZ_AQUA_950, DATA_VIZ_BLUE_50, DATA_VIZ_BLUE_100, DATA_VIZ_BLUE_200, DATA_VIZ_BLUE_300, DATA_VIZ_BLUE_400, DATA_VIZ_BLUE_500, DATA_VIZ_BLUE_600, DATA_VIZ_BLUE_700, DATA_VIZ_BLUE_800, DATA_VIZ_BLUE_900, DATA_VIZ_BLUE_950, DATA_VIZ_GREEN_50, DATA_VIZ_GREEN_100, DATA_VIZ_GREEN_200, DATA_VIZ_GREEN_300, DATA_VIZ_GREEN_400, DATA_VIZ_GREEN_500, DATA_VIZ_GREEN_600, DATA_VIZ_GREEN_700, DATA_VIZ_GREEN_800, DATA_VIZ_GREEN_900, DATA_VIZ_GREEN_950, DATA_VIZ_MAGENTA_50, DATA_VIZ_MAGENTA_100, DATA_VIZ_MAGENTA_200, DATA_VIZ_MAGENTA_300, DATA_VIZ_MAGENTA_400, DATA_VIZ_MAGENTA_500, DATA_VIZ_MAGENTA_600, DATA_VIZ_MAGENTA_700, DATA_VIZ_MAGENTA_800, DATA_VIZ_MAGENTA_900, DATA_VIZ_MAGENTA_950, DATA_VIZ_ORANGE_50, DATA_VIZ_ORANGE_100, DATA_VIZ_ORANGE_200, DATA_VIZ_ORANGE_300, DATA_VIZ_ORANGE_400, DATA_VIZ_ORANGE_500, DATA_VIZ_ORANGE_600, DATA_VIZ_ORANGE_700, DATA_VIZ_ORANGE_800, DATA_VIZ_ORANGE_950, DATA_VIZ_ORANGE_900, } from '../../../dist/tokens/js/tokens'; import { scrollHandleSvgPath } from '../svgs/svg_paths'; import { hexToRgba } from '../utils'; const GL_BORDER_RADIUS_BASE = '0.25rem'; export const themeName = 'gitlab'; export const heatmapHues = [ GRAY_100, DATA_VIZ_BLUE_200, DATA_VIZ_BLUE_400, DATA_VIZ_BLUE_600, DATA_VIZ_BLUE_800, ]; export const gaugeNeutralHues = [GRAY_900, GRAY_500]; export const gaugeSafeHues = [DATA_VIZ_BLUE_500, DATA_VIZ_BLUE_900]; export const gaugeWarningHue = DATA_VIZ_ORANGE_500; /** * The default palette is based on the Categorical data palette * Categorical data (also known as qualitative or thematic) uses hue to * differentiate qualitative data, and lightness to differentiate quantitive data. * More info: https://design.gitlab.com/data-visualization/color#categorical-data */ export const colorPaletteDefault = [ DATA_VIZ_BLUE_500, DATA_VIZ_ORANGE_600, DATA_VIZ_AQUA_500, DATA_VIZ_GREEN_600, DATA_VIZ_MAGENTA_500, DATA_VIZ_BLUE_700, DATA_VIZ_ORANGE_800, DATA_VIZ_AQUA_700, DATA_VIZ_GREEN_800, DATA_VIZ_MAGENTA_700, DATA_VIZ_BLUE_900, DATA_VIZ_ORANGE_950, DATA_VIZ_AQUA_900, DATA_VIZ_GREEN_950, DATA_VIZ_MAGENTA_900, DATA_VIZ_BLUE_600, DATA_VIZ_ORANGE_700, DATA_VIZ_AQUA_600, DATA_VIZ_GREEN_700, DATA_VIZ_MAGENTA_600, DATA_VIZ_BLUE_800, DATA_VIZ_ORANGE_900, DATA_VIZ_AQUA_800, DATA_VIZ_GREEN_900, DATA_VIZ_MAGENTA_800, DATA_VIZ_BLUE_950, DATA_VIZ_ORANGE_500, DATA_VIZ_AQUA_950, DATA_VIZ_GREEN_500, DATA_VIZ_MAGENTA_950, ]; export const colorFromDefaultPalette = (index) => colorPaletteDefault[index % colorPaletteDefault.length]; export const colorPaletteDark = [ DATA_VIZ_BLUE_500, DATA_VIZ_ORANGE_400, DATA_VIZ_AQUA_500, DATA_VIZ_GREEN_400, DATA_VIZ_MAGENTA_500, DATA_VIZ_BLUE_300, DATA_VIZ_ORANGE_200, DATA_VIZ_AQUA_300, DATA_VIZ_GREEN_200, DATA_VIZ_MAGENTA_300, DATA_VIZ_BLUE_100, DATA_VIZ_ORANGE_50, DATA_VIZ_AQUA_100, DATA_VIZ_GREEN_50, DATA_VIZ_MAGENTA_100, DATA_VIZ_BLUE_400, DATA_VIZ_ORANGE_300, DATA_VIZ_AQUA_400, DATA_VIZ_GREEN_300, DATA_VIZ_MAGENTA_400, DATA_VIZ_BLUE_200, DATA_VIZ_ORANGE_100, DATA_VIZ_AQUA_200, DATA_VIZ_GREEN_100, DATA_VIZ_MAGENTA_200, DATA_VIZ_BLUE_50, DATA_VIZ_ORANGE_500, DATA_VIZ_AQUA_50, DATA_VIZ_GREEN_500, DATA_VIZ_MAGENTA_50, ]; export const colorFromDarkPalette = (index) => colorPaletteDark[index % colorPaletteDark.length]; const axes = { axisLabel: { margin: 8, show: true, color: `var(--gray-600, ${GRAY_600})`, hideOverlap: true, }, axisLine: { show: false, }, axisPointer: { lineStyle: { type: 'solid', color: GRAY_600, }, label: { show: false, }, }, axisTick: { show: true, alignWithLabel: true, lineStyle: { color: GRAY_200, }, }, nameGap: 30, nameTextStyle: { fontWeight: 'bold', }, splitLine: { lineStyle: { color: [GRAY_200], }, }, splitArea: { show: false, areaStyle: { color: [hexToRgba(GRAY_50, 0.3), hexToRgba(GRAY_300, 0.3)], }, }, }; const isLineChartWithoutArea = (options) => Array.isArray(options?.series) && options.series.some((series) => series.type === 'line' && !series.areaStyle); export const createTheme = (options = {}) => ({ color: colorPaletteDefault, backgroundColor: 'transparent', textStyle: { color: `var(--gl-text-color, ${GRAY_900})`, }, markLine: { silent: true, symbol: 'none', label: { show: false, }, lineStyle: { color: RED_500, width: 1, type: 'dashed', }, }, markArea: { silent: true, itemStyle: { color: hexToRgba(RED_500, 0.1), }, }, dataZoom: { borderColor: 'transparent', filterMode: 'none', brushSelect: false, dataBackground: { lineStyle: { width: 2, color: GRAY_200, opacity: 1, }, // render unfilled zoom-graph if the series is a line chart without area styles // more details: https://gitlab.com/gitlab-org/gitlab-ui/-/merge_requests/2364#note_666637306 areaStyle: isLineChartWithoutArea(options) ? {} // Use empty object instead of null, see https://gitlab.com/gitlab-org/gitlab-ui/-/merge_requests/2185#note_707711029 for more context : { color: GRAY_50, opacity: 1, }, }, fillerColor: hexToRgba(GRAY_200, 0.23), handleIcon: scrollHandleSvgPath, handleStyle: { borderColor: 'transparent', color: GRAY_500, }, handleSize: '50%', labelFormatter: () => null, textStyle: { color: GRAY_600, }, }, toolbox: { top: '-5', left: 'center', itemSize: 14, emphasis: { iconStyle: { borderWidth: 0, color: GRAY_900, textBackgroundColor: WHITE, textBorderRadius: GL_BORDER_RADIUS_BASE, textPadding: [8, 12], }, }, iconStyle: { color: GRAY_500, borderWidth: 0, }, itemGap: 8, feature: { dataZoom: { title: { zoom: 'Click to zoom in on a portion of the graph', back: 'Remove selection', }, }, restore: { title: 'Remove all selections and return chart to default state', }, saveAsImage: { title: 'Save chart as an image', name: 'graph', }, }, }, markPoint: { label: { normal: { textStyle: { color: GRAY_50, }, }, emphasis: { textStyle: { color: GRAY_50, }, }, }, }, line: { itemStyle: { normal: { borderWidth: 1, }, }, lineStyle: { normal: { width: 2, }, }, symbolSize: '6', symbol: 'circle', showSymbol: false, smooth: false, }, categoryAxis: axes, valueAxis: axes, logAxis: axes, timeAxis: axes, });