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<script lang="ts">
//@ts-nocheck
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 div_id = `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;
function embed_bokeh(_plot: Record<string, any>, _type: string): void {
if (document) {
if (document.getElementById(div_id)) {
document.getElementById(div_id).innerHTML = "";
}
}
if (_type == "bokeh" && window.Bokeh) {
load_bokeh();
let plotObj = JSON.parse(_plot);
window.Bokeh.embed.embed_item(plotObj, div_id);
}
}
$: embed_bokeh(plot, type);
$: if (type == "altair") {
spec = JSON.parse(plot);
if (value.chart || "") {
const config = create_config(darkmode);
spec.config = config;
}
switch (value.chart || "") {
case "scatter":
if (spec.encoding.color && spec.encoding.color.type == "nominal") {
spec.encoding.color.scale.range = spec.encoding.color.scale.range.map(
(e, i) => get_color(i)
);
} else if (
spec.encoding.color &&
spec.encoding.color.type == "quantitative"
) {
spec.encoding.color.scale.range = ["#eff6ff", "#1e3a8a"];
spec.encoding.color.scale.range.interpolate = "hsl";
}
break;
case "line":
spec.layer.forEach((d) => {
if (d.encoding.color) {
d.encoding.color.scale.range = d.encoding.color.scale.range.map(
(e, i) => get_color(i)
);
}
});
break;
case "bar":
if (spec.encoding.color) {
spec.encoding.color.scale.range = spec.encoding.color.scale.range.map(
(e, i) => get_color(i)
);
}
spec.config.header = bar_plot_header_encoding(darkmode);
break;
default:
break;
}
}
// Plotly
let plot_div;
let plotly_global_style;
const main_src = `https://cdn.bokeh.org/bokeh/release/bokeh-${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.src = src;
document.head.appendChild(script);
return script;
});
}
function load_bokeh(): HTMLScriptElement {
const script = document.createElement("script");
script.onload = handle_bokeh_loaded;
script.src = main_src;
const is_bokeh_script_present = document.head.querySelector(
`script[src="${main_src}"]`
);
if (!is_bokeh_script_present) {
document.head.appendChild(script);
}
return script;
}
function load_plotly_css(): void {
if (!plotly_global_style) {
plotly_global_style = document.getElementById("plotly.js-style-global");
const plotly_style_clone = plotly_global_style.cloneNode();
target.appendChild(plotly_style_clone);
for (const rule of plotly_global_style.sheet.cssRules) {
plotly_style_clone.sheet.insertRule(rule.cssText);
}
}
}
const main_script = bokeh_version ? load_bokeh() : null;
let plugin_scripts = [];
function handle_bokeh_loaded(): void {
plugin_scripts = load_plugins();
}
afterUpdate(() => {
if (type == "plotly") {
load_plotly_css();
let plotObj = JSON.parse(plot);
plotObj.layout.title
? (plotObj.layout.margin = { autoexpand: true })
: (plotObj.layout.margin = { l: 0, r: 0, b: 0, t: 0 });
Plotly.react(plot_div, plotObj);
}
});
onDestroy(() => {
if (main_script in document.children) {
document.removeChild(main_script);
plugin_scripts.forEach((child) => document.removeChild(child));
}
});
</script>
{#if value && type == "plotly"}
<div data-testid={"plotly"} bind:this={plot_div} />
{:else if type == "bokeh"}
<div data-testid={"bokeh"} id={div_id} class="gradio-bokeh" />
{:else if type == "altair"}
<div data-testid={"altair"} class="altair layout">
<Vega {spec} options={{ actions: show_actions_button }} />
{#if caption}
<div class="caption layout">
{caption}
</div>
{/if}
</div>
{:else if type == "matplotlib"}
<div data-testid={"matplotlib"} class="matplotlib layout">
<img src={plot} alt={`${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>
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