deno/cli/js/40_jupyter.js
Bartek Iwańczuk a1bcdf17a5
feat(jupyter): Add Deno.jupyter.image API (#26284)
This commit adds `Deno.jupyter.image` API to display PNG and JPG images:

```
const data = Deno.readFileSync("./my-image.jpg");
Deno.jupyter.image(data);

Deno.jupyter.image("./my-image.jpg");
```
2024-11-16 15:13:50 +00:00

552 lines
14 KiB
JavaScript

// Copyright 2018-2024 the Deno authors. All rights reserved. MIT license.
// deno-lint-ignore-file
/*
* @module mod
* @description
* This module provides a `display()` function for the Jupyter Deno Kernel, similar to IPython's display.
* It can be used to asynchronously display objects in Jupyter frontends. There are also tagged template functions
* for quickly creating HTML, Markdown, and SVG views.
*
* @example
* Displaying objects asynchronously in Jupyter frontends.
* ```typescript
* import { display, html, md } from "https://deno.land/x/deno_jupyter/mod.ts";
*
* await display(html`<h1>Hello, world!</h1>`);
* await display(md`# Notebooks in TypeScript via Deno ![Deno logo](https://github.com/denoland.png?size=32)
*
* * TypeScript ${Deno.version.typescript}
* * V8 ${Deno.version.v8}
* * Deno ${Deno.version.deno}
*
* Interactive compute with Jupyter _built into Deno_!
* `);
* ```
*
* @example
* Emitting raw MIME bundles.
* ```typescript
* import { display } from "https://deno.land/x/deno_jupyter/mod.ts";
*
* await display({
* "text/plain": "Hello, world!",
* "text/html": "<h1>Hello, world!</h1>",
* "text/markdown": "# Hello, world!",
* }, { raw: true });
* ```
*/
import { core, internals } from "ext:core/mod.js";
const $display = Symbol.for("Jupyter.display");
/** Escape copied from https://jsr.io/@std/html/0.221.0/entities.ts */
const rawToEntityEntries = [
["&", "&amp;"],
["<", "&lt;"],
[">", "&gt;"],
['"', "&quot;"],
["'", "&#39;"],
];
const rawToEntity = new Map(rawToEntityEntries);
const rawRe = new RegExp(`[${[...rawToEntity.keys()].join("")}]`, "g");
function escapeHTML(str) {
return str.replaceAll(
rawRe,
(m) => rawToEntity.has(m) ? rawToEntity.get(m) : m,
);
}
/** Duck typing our way to common visualization and tabular libraries */
/** Vegalite */
function isVegaLike(obj) {
return obj !== null && typeof obj === "object" && "toSpec" in obj;
}
function extractVega(obj) {
const spec = obj.toSpec();
if (!("$schema" in spec)) {
return null;
}
if (typeof spec !== "object") {
return null;
}
let mediaType = "application/vnd.vega.v5+json";
if (spec.$schema === "https://vega.github.io/schema/vega-lite/v4.json") {
mediaType = "application/vnd.vegalite.v4+json";
} else if (
spec.$schema === "https://vega.github.io/schema/vega-lite/v5.json"
) {
mediaType = "application/vnd.vegalite.v5+json";
}
return {
[mediaType]: spec,
};
}
/** Polars */
function isDataFrameLike(obj) {
const isObject = obj !== null && typeof obj === "object";
if (!isObject) {
return false;
}
const df = obj;
return df.schema !== void 0 && typeof df.schema === "object" &&
df.head !== void 0 && typeof df.head === "function" &&
df.toRecords !== void 0 && typeof df.toRecords === "function";
}
/**
* Map Polars DataType to JSON Schema data types.
* @param dataType - The Polars DataType.
* @returns The corresponding JSON Schema data type.
*/
function mapPolarsTypeToJSONSchema(colType) {
const typeMapping = {
Null: "null",
Bool: "boolean",
Int8: "integer",
Int16: "integer",
Int32: "integer",
Int64: "integer",
UInt8: "integer",
UInt16: "integer",
UInt32: "integer",
UInt64: "integer",
Float32: "number",
Float64: "number",
Date: "string",
Datetime: "string",
Utf8: "string",
Categorical: "string",
List: "array",
Struct: "object",
};
// These colTypes are weird. When you console.dir or console.log them
// they show a `DataType` field, however you can't access it directly until you
// convert it to JSON
const dataType = colType.toJSON()["DataType"];
return typeMapping[dataType] || "string";
}
function extractDataFrame(df) {
const fields = [];
const schema = {
fields,
};
let data = [];
// Convert DataFrame schema to Tabular DataResource schema
for (const [colName, colType] of Object.entries(df.schema)) {
const dataType = mapPolarsTypeToJSONSchema(colType);
schema.fields.push({
name: colName,
type: dataType,
});
}
// Convert DataFrame data to row-oriented JSON
//
// TODO(rgbkrk): Determine how to get the polars format max rows
// Since pl.setTblRows just sets env var POLARS_FMT_MAX_ROWS,
// we probably just have to pick a number for now.
//
data = df.head(50).toRecords();
let htmlTable = "<table>";
htmlTable += "<thead><tr>";
schema.fields.forEach((field) => {
htmlTable += `<th>${escapeHTML(String(field.name))}</th>`;
});
htmlTable += "</tr></thead>";
htmlTable += "<tbody>";
df.head(10).toRecords().forEach((row) => {
htmlTable += "<tr>";
schema.fields.forEach((field) => {
htmlTable += `<td>${escapeHTML(String(row[field.name]))}</td>`;
});
htmlTable += "</tr>";
});
htmlTable += "</tbody></table>";
return {
"application/vnd.dataresource+json": { data, schema },
"text/html": htmlTable,
};
}
/** Canvas */
function isCanvasLike(obj) {
return obj !== null && typeof obj === "object" && "toDataURL" in obj;
}
function isJpg(obj) {
// Check if obj is a Uint8Array
if (!(obj instanceof Uint8Array)) {
return false;
}
// JPG files start with the magic bytes FF D8
if (obj.length < 2 || obj[0] !== 0xFF || obj[1] !== 0xD8) {
return false;
}
// JPG files end with the magic bytes FF D9
if (
obj.length < 2 || obj[obj.length - 2] !== 0xFF ||
obj[obj.length - 1] !== 0xD9
) {
return false;
}
return true;
}
function isPng(obj) {
// Check if obj is a Uint8Array
if (!(obj instanceof Uint8Array)) {
return false;
}
// PNG files start with a specific 8-byte signature
const pngSignature = [137, 80, 78, 71, 13, 10, 26, 10];
// Check if the array is at least as long as the signature
if (obj.length < pngSignature.length) {
return false;
}
// Check each byte of the signature
for (let i = 0; i < pngSignature.length; i++) {
if (obj[i] !== pngSignature[i]) {
return false;
}
}
return true;
}
/** Possible HTML and SVG Elements */
function isSVGElementLike(obj) {
return obj !== null && typeof obj === "object" && "outerHTML" in obj &&
typeof obj.outerHTML === "string" && obj.outerHTML.startsWith("<svg");
}
function isHTMLElementLike(obj) {
return obj !== null && typeof obj === "object" && "outerHTML" in obj &&
typeof obj.outerHTML === "string";
}
/** Check to see if an object already contains a `Symbol.for("Jupyter.display") */
function hasDisplaySymbol(obj) {
return obj !== null && typeof obj === "object" && $display in obj &&
typeof obj[$display] === "function";
}
function makeDisplayable(obj) {
return {
[$display]: () => obj,
};
}
/**
* Format an object for displaying in Deno
*
* @param obj - The object to be displayed
* @returns MediaBundle
*/
async function format(obj) {
if (hasDisplaySymbol(obj)) {
return await obj[$display]();
}
if (typeof obj !== "object") {
return {
"text/plain": Deno[Deno.internal].inspectArgs(["%o", obj], {
colors: !Deno.noColor,
}),
};
}
if (isCanvasLike(obj)) {
const dataURL = obj.toDataURL();
const parts = dataURL.split(",");
const mime = parts[0].split(":")[1].split(";")[0];
const data = parts[1];
return {
[mime]: data,
};
}
if (isVegaLike(obj)) {
return extractVega(obj);
}
if (isDataFrameLike(obj)) {
return extractDataFrame(obj);
}
if (isJpg(obj)) {
return {
"image/jpeg": core.ops.op_base64_encode(obj),
};
}
if (isPng(obj)) {
return {
"image/png": core.ops.op_base64_encode(obj),
};
}
if (isSVGElementLike(obj)) {
return {
"image/svg+xml": obj.outerHTML,
};
}
if (isHTMLElementLike(obj)) {
return {
"text/html": obj.outerHTML,
};
}
return {
"text/plain": Deno[Deno.internal].inspectArgs(["%o", obj], {
colors: !Deno.noColor,
}),
};
}
/**
* This function creates a tagged template function for a given media type.
* The tagged template function takes a template string and returns a displayable object.
*
* @param mediatype - The media type for the tagged template function.
* @returns A function that takes a template string and returns a displayable object.
*/
function createTaggedTemplateDisplayable(mediatype) {
return (strings, ...values) => {
const payload = strings.reduce(
(acc, string, i) =>
acc + string + (values[i] !== undefined ? values[i] : ""),
"",
);
return makeDisplayable({ [mediatype]: payload });
};
}
/**
* Show Markdown in Jupyter frontends with a tagged template function.
*
* Takes a template string and returns a displayable object for Jupyter frontends.
*
* @example
* Create a Markdown view.
*
* ```typescript
* md`# Notebooks in TypeScript via Deno ![Deno logo](https://github.com/denoland.png?size=32)
*
* * TypeScript ${Deno.version.typescript}
* * V8 ${Deno.version.v8}
* * Deno ${Deno.version.deno}
*
* Interactive compute with Jupyter _built into Deno_!
* `
* ```
*/
const md = createTaggedTemplateDisplayable("text/markdown");
/**
* Show HTML in Jupyter frontends with a tagged template function.
*
* Takes a template string and returns a displayable object for Jupyter frontends.
*
* @example
* Create an HTML view.
* ```typescript
* html`<h1>Hello, world!</h1>`
* ```
*/
const html = createTaggedTemplateDisplayable("text/html");
/**
* SVG Tagged Template Function.
*
* Takes a template string and returns a displayable object for Jupyter frontends.
*
* Example usage:
*
* svg`<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 100 100">
* <circle cx="50" cy="50" r="40" stroke="green" stroke-width="4" fill="yellow" />
* </svg>`
*/
const svg = createTaggedTemplateDisplayable("image/svg+xml");
function image(obj) {
if (typeof obj === "string") {
try {
obj = Deno.readFileSync(obj);
} catch {
// pass
}
}
if (isJpg(obj)) {
return makeDisplayable({ "image/jpeg": core.ops.op_base64_encode(obj) });
}
if (isPng(obj)) {
return makeDisplayable({ "image/png": core.ops.op_base64_encode(obj) });
}
throw new TypeError(
"Object is not a valid image or a path to an image. `Deno.jupyter.image` supports displaying JPG or PNG images.",
);
}
function isMediaBundle(obj) {
if (obj == null || typeof obj !== "object" || Array.isArray(obj)) {
return false;
}
for (const key in obj) {
if (typeof key !== "string") {
return false;
}
}
return true;
}
async function formatInner(obj, raw) {
if (raw && isMediaBundle(obj)) {
return obj;
} else {
return await format(obj);
}
}
internals.jupyter = { formatInner };
function enableJupyter() {
const { op_jupyter_broadcast, op_jupyter_input } = core.ops;
function input(
prompt,
password,
) {
return op_jupyter_input(prompt, password);
}
async function broadcast(
msgType,
content,
{ metadata = { __proto__: null }, buffers = [] } = { __proto__: null },
) {
await op_jupyter_broadcast(msgType, content, metadata, buffers);
}
async function broadcastResult(executionCount, result) {
try {
if (result === undefined) {
return;
}
const data = await format(result);
await broadcast("execute_result", {
execution_count: executionCount,
data,
metadata: {},
});
} catch (err) {
if (err instanceof Error) {
const stack = err.stack || "";
await broadcast("error", {
ename: err.name,
evalue: err.message,
traceback: stack.split("\n"),
});
} else if (typeof err == "string") {
await broadcast("error", {
ename: "Error",
evalue: err,
traceback: [],
});
} else {
await broadcast("error", {
ename: "Error",
evalue:
"An error occurred while formatting a result, but it could not be identified",
traceback: [],
});
}
}
}
internals.jupyter.broadcastResult = broadcastResult;
/**
* Display function for Jupyter Deno Kernel.
* Mimics the behavior of IPython's `display(obj, raw=True)` function to allow
* asynchronous displaying of objects in Jupyter.
*
* @param obj - The object to be displayed
* @param options - Display options
*/
async function display(obj, options = { raw: false, update: false }) {
const bundle = await formatInner(obj, options.raw);
let messageType = "display_data";
if (options.update) {
messageType = "update_display_data";
}
let transient = { __proto__: null };
if (options.display_id) {
transient = { display_id: options.display_id };
}
await broadcast(messageType, {
data: bundle,
metadata: {},
transient,
});
return;
}
/**
* Prompt for user confirmation (in Jupyter Notebook context)
* Override confirm and prompt because they depend on a tty
* and in the Deno.jupyter environment that doesn't exist.
* @param {string} message - The message to display.
* @returns {Promise<boolean>} User confirmation.
*/
function confirm(message = "Confirm") {
const answer = input(`${message} [y/N] `, false);
return answer === "Y" || answer === "y";
}
/**
* Prompt for user input (in Jupyter Notebook context)
* @param {string} message - The message to display.
* @param {string} defaultValue - The value used if none is provided.
* @param {object} options Options
* @param {boolean} options.password Hide the output characters
* @returns {Promise<string>} The user input.
*/
function prompt(
message = "Prompt",
defaultValue = "",
{ password = false } = {},
) {
if (defaultValue != "") {
message += ` [${defaultValue}]`;
}
const answer = input(`${message}`, password);
if (answer === "") {
return defaultValue;
}
return answer;
}
globalThis.confirm = confirm;
globalThis.prompt = prompt;
globalThis.Deno.jupyter = {
broadcast,
display,
format,
md,
html,
svg,
image,
$display,
};
}
internals.enableJupyter = enableJupyter;