| <script lang="ts"> |
| |
| import Plotly from "plotly.js-dist-min"; |
| import { Plot as PlotIcon } from "@gradio/icons"; |
| import { colors as color_palette, ordered_colors } from "@gradio/theme"; |
| import { get_next_color } from "@gradio/utils"; |
| import { Vega } from "svelte-vega"; |
| import { afterUpdate, beforeUpdate, onDestroy } from "svelte"; |
| import { create_config, bar_plot_header_encoding } from "./utils"; |
| import { Empty } from "@gradio/atoms"; |
| import type { ThemeMode } from "js/app/src/components/types"; |
|
|
| export let value; |
| export let target; |
| let spec = null; |
| export let colors: string[] = []; |
| export let theme_mode: ThemeMode; |
| export let caption: string; |
| export let bokeh_version: string | null; |
| export let show_actions_button: bool; |
| const divId = `bokehDiv-${Math.random().toString(5).substring(2)}`; |
|
|
| function get_color(index: number): string { |
| let current_color = colors[index % colors.length]; |
|
|
| if (current_color && current_color in color_palette) { |
| return color_palette[current_color as keyof typeof color_palette] |
| ?.primary; |
| } else if (!current_color) { |
| return color_palette[get_next_color(index) as keyof typeof color_palette] |
| .primary; |
| } |
| return current_color; |
| } |
|
|
| $: darkmode = theme_mode == "dark"; |
|
|
| $: plot = value?.plot; |
| $: type = value?.type; |
|
|
| |
| |
| |
| $: bokeh_loaded = window.Bokeh === undefined; |
|
|
| function embed_bokeh( |
| _plot: Record<string, any>, |
| _type: string, |
| _bokeh_loaded: boolean |
| ): void { |
| if (document) { |
| if (document.getElementById(divId)) { |
| document.getElementById(divId).innerHTML = ""; |
| } |
| } |
| if (_type == "bokeh" && window.Bokeh) { |
| if (!_bokeh_loaded) { |
| load_bokeh(); |
| bokeh_loaded = true; |
| } |
| let plotObj = JSON.parse(_plot); |
| window.Bokeh.embed.embed_item(plotObj, divId); |
| } |
| } |
|
|
| $: embed_bokeh(plot, type, bokeh_loaded); |
|
|
| $: if (type == "altair") { |
| spec = JSON.parse(plot); |
| if (value.chart || "") { |
| const config = create_config(darkmode); |
| spec.config = config; |
| } |
| switch (value.chart || "") { |
| case "scatter": |
| if (spec.encoding.color && spec.encoding.color.type == "nominal") { |
| spec.encoding.color.scale.range = spec.encoding.color.scale.range.map( |
| (e, i) => get_color(i) |
| ); |
| } else if ( |
| spec.encoding.color && |
| spec.encoding.color.type == "quantitative" |
| ) { |
| spec.encoding.color.scale.range = ["#eff6ff", "#1e3a8a"]; |
| spec.encoding.color.scale.range.interpolate = "hsl"; |
| } |
| break; |
| case "line": |
| spec.layer.forEach((d) => { |
| if (d.encoding.color) { |
| d.encoding.color.scale.range = d.encoding.color.scale.range.map( |
| (e, i) => get_color(i) |
| ); |
| } |
| }); |
| break; |
| case "bar": |
| if (spec.encoding.color) { |
| spec.encoding.color.scale.range = spec.encoding.color.scale.range.map( |
| (e, i) => get_color(i) |
| ); |
| } |
| spec.config.header = bar_plot_header_encoding(darkmode); |
| break; |
| default: |
| break; |
| } |
| } |
|
|
| |
| let plotDiv; |
| let plotlyGlobalStyle; |
|
|
| const main_src = `https://cdn.bokeh.org/bokeh/release/bokeh-${bokeh_version}.min.js`; |
|
|
| const plugins_src = [ |
| `https://cdn.pydata.org/bokeh/release/bokeh-widgets-${bokeh_version}.min.js`, |
| `https://cdn.pydata.org/bokeh/release/bokeh-tables-${bokeh_version}.min.js`, |
| `https://cdn.pydata.org/bokeh/release/bokeh-gl-${bokeh_version}.min.js`, |
| `https://cdn.pydata.org/bokeh/release/bokeh-api-${bokeh_version}.min.js`, |
| ]; |
|
|
| function load_plugins(): HTMLScriptElement[] { |
| return plugins_src.map((src, i) => { |
| const script = document.createElement("script"); |
| script.onload = (): void => initializeBokeh(i + 1); |
| script.src = src; |
| document.head.appendChild(script); |
|
|
| return script; |
| }); |
| } |
|
|
| function load_bokeh(): HTMLScriptElement { |
| const script = document.createElement("script"); |
| script.onload = handleBokehLoaded; |
| script.src = main_src; |
| document.head.appendChild(script); |
| bokeh_loaded = true; |
| return script; |
| } |
|
|
| function load_plotly_css(): void { |
| if (!plotlyGlobalStyle) { |
| plotlyGlobalStyle = document.getElementById("plotly.js-style-global"); |
| const plotlyStyleClone = plotlyGlobalStyle.cloneNode(); |
| target.appendChild(plotlyStyleClone); |
| for (const rule of plotlyGlobalStyle.sheet.cssRules) { |
| plotlyStyleClone.sheet.insertRule(rule.cssText); |
| } |
| } |
| } |
|
|
| const main_script = bokeh_version ? load_bokeh() : null; |
|
|
| let plugin_scripts = []; |
|
|
| const resolves = []; |
|
|
| const initializeBokeh = (index): void => { |
| if (type == "bokeh") { |
| resolves[index](); |
| } |
| }; |
|
|
| function handleBokehLoaded(): void { |
| initializeBokeh(0); |
| plugin_scripts = load_plugins(); |
| } |
|
|
| afterUpdate(() => { |
| if (type == "plotly") { |
| load_plotly_css(); |
| let plotObj = JSON.parse(plot); |
| plotObj.layout.title |
| ? (plotObj.layout.margin = { autoexpand: true }) |
| : (plotObj.layout.margin = { l: 0, r: 0, b: 0, t: 0 }); |
| Plotly.react(plotDiv, plotObj); |
| } |
| }); |
|
|
| onDestroy(() => { |
| if (main_script in document.children) { |
| document.removeChild(main_script); |
| plugin_scripts.forEach((child) => document.removeChild(child)); |
| } |
| }); |
| </script> |
|
|
| {#if value && type == "plotly"} |
| <div data-testid={"plotly"} bind:this={plotDiv} /> |
| {:else if type == "bokeh"} |
| <div data-testid={"bokeh"} id={divId} class="gradio-bokeh" /> |
| {:else if type == "altair"} |
| <div data-testid={"altair"} class="altair layout"> |
| <Vega {spec} options={{ actions: show_actions_button }} /> |
| {#if caption} |
| <div class="caption layout"> |
| {caption} |
| </div> |
| {/if} |
| </div> |
| {:else if type == "matplotlib"} |
| <div data-testid={"matplotlib"} class="matplotlib layout"> |
| <img src={plot} alt={`${value.chart} plot visualising provided data`} /> |
| </div> |
| {:else} |
| <Empty unpadded_box={true} size="large"><PlotIcon /></Empty> |
| {/if} |
|
|
| <style> |
| .altair :global(canvas) { |
| max-width: 100%; |
| padding: 6px; |
| } |
| .altair :global(.vega-embed) { |
| padding: 0px !important; |
| } |
| .altair :global(.vega-actions) { |
| right: 0px !important; |
| } |
| .gradio-bokeh { |
| display: flex; |
| justify-content: center; |
| } |
|
|
| .layout { |
| display: flex; |
| flex-direction: column; |
| justify-content: center; |
| align-items: center; |
| width: var(--size-full); |
| height: var(--size-full); |
| color: var(--body-text-color); |
| } |
| .altair { |
| display: flex; |
| flex-direction: column; |
| justify-content: center; |
| align-items: center; |
| width: var(--size-full); |
| height: var(--size-full); |
| } |
|
|
| .caption { |
| font-size: var(--text-sm); |
| margin-bottom: 6px; |
| } |
|
|
| .matplotlib img { |
| object-fit: contain; |
| } |
| </style> |
|
|