import type {Color, SignalRef} from 'vega'; import {BaseSpec} from './index.js'; import {getPositionScaleChannel} from '../channel.js'; import {signalRefOrValue} from '../compile/common.js'; import {Config} from '../config.js'; import {InlineDataset} from '../data.js'; import {ExprRef} from '../expr.js'; import {VariableParameter} from '../parameter.js'; import {TopLevelSelectionParameter} from '../selection.js'; import {Dict} from '../util.js'; /** * @minimum 0 */ export type Padding = number | {top?: number; bottom?: number; left?: number; right?: number}; export type Datasets = Dict; export type TopLevelParameter = VariableParameter | TopLevelSelectionParameter; export type TopLevel = S & TopLevelProperties & { /** * URL to [JSON schema](http://json-schema.org/) for a Vega-Lite specification. Unless you have a reason to change this, use `https://vega.github.io/schema/vega-lite/v6.json`. Setting the `$schema` property allows automatic validation and autocomplete in editors that support JSON schema. * @format uri */ $schema?: string; /** * Vega-Lite configuration object. This property can only be defined at the top-level of a specification. */ config?: Config; /** * A global data store for named datasets. This is a mapping from names to inline datasets. * This can be an array of objects or primitive values or a string. Arrays of primitive values are ingested as objects with a `data` property. */ datasets?: Datasets; /** * Optional metadata that will be passed to Vega. * This object is completely ignored by Vega and Vega-Lite and can be used for custom metadata. */ usermeta?: Dict; }; /** * Shared properties between Top-Level specs and Config */ export interface TopLevelProperties { /** * CSS color property to use as the background of the entire view. * * __Default value:__ `"white"` */ background?: Color | ES; /** * The default visualization padding, in pixels, from the edge of the visualization canvas to the data rectangle. If a number, specifies padding for all sides. * If an object, the value should have the format `{"left": 5, "top": 5, "right": 5, "bottom": 5}` to specify padding for each side of the visualization. * * __Default value__: `5` */ padding?: Padding | ES; /** * How the visualization size should be determined. If a string, should be one of `"pad"`, `"fit"` or `"none"`. * Object values can additionally specify parameters for content sizing and automatic resizing. * * __Default value__: `pad` */ autosize?: AutosizeType | AutoSizeParams; // Vega actually supports signal for autosize. However, we need to check autosize at compile time to infer the rest of the spec. Thus VL's autosize won't support SignalRef for now. /** * Dynamic variables or selections that parameterize a visualization. */ params?: TopLevelParameter[]; } export type FitType = 'fit' | 'fit-x' | 'fit-y'; export function isFitType(autoSizeType: AutosizeType): autoSizeType is FitType { return ['fit', 'fit-x', 'fit-y'].includes(autoSizeType); } export function getFitType(sizeType?: 'width' | 'height'): FitType { return sizeType ? (`fit-${getPositionScaleChannel(sizeType)}` as FitType) : 'fit'; } export type AutosizeType = 'pad' | 'none' | 'fit' | 'fit-x' | 'fit-y'; export interface AutoSizeParams { /** * The sizing format type. One of `"pad"`, `"fit"`, `"fit-x"`, `"fit-y"`, or `"none"`. See the [autosize type](https://vega.github.io/vega-lite/docs/size.html#autosize) documentation for descriptions of each. * * __Default value__: `"pad"` */ type?: AutosizeType; /** * A boolean flag indicating if autosize layout should be re-calculated on every view update. * * __Default value__: `false` */ resize?: boolean; /** * Determines how size calculation should be performed, one of `"content"` or `"padding"`. The default setting (`"content"`) interprets the width and height settings as the data rectangle (plotting) dimensions, to which padding is then added. In contrast, the `"padding"` setting includes the padding within the view size calculations, such that the width and height settings indicate the **total** intended size of the view. * * __Default value__: `"content"` */ contains?: 'content' | 'padding'; } const TOP_LEVEL_PROPERTIES: (keyof TopLevelProperties)[] = [ 'background', 'padding', // We do not include "autosize" here as it is supported by only unit and layer specs and thus need to be normalized ]; export function extractTopLevelProperties(t: TopLevelProperties, includeParams: boolean) { const o: TopLevelProperties = {}; for (const p of TOP_LEVEL_PROPERTIES) { if (t && t[p] !== undefined) { (o as any)[p] = signalRefOrValue(t[p]); } } if (includeParams) { o.params = t.params; } return o; }