Screenshot 2024-11-24 14.31.53.png

world.ts

import sharp from "npm:sharp";
import * as Plot from "npm:@observablehq/plot";
import land110 from "npm:world-atlas/land-110m.json" with { type: "json" };
import topojson from "npm:topojson-client";
import { DOMImplementation, XMLSerializer } from "npm:@xmldom/xmldom";

const document = new DOMImplementation().createHTMLDocument();

const land = topojson.feature(land110, land110.objects.land);

const figure = Plot.plot({
  document,
  marks: [
    Plot.geo({ type: "Sphere" }, { fill: "lightskyblue" }),
    Plot.geo(land, { fill: "cornsilk" }),
  ],
  projection: "equal-earth",
  marginTop: 0,
  marginRight: 0,
  marginBottom: 0,
  marginLeft: 0,
});
const svg = new XMLSerializer().serializeToString(figure);

const img = sharp(new TextEncoder().encode(svg));

async function toImageData(im) {
  const { data: { buffer }, info: { width, height } } = await im.raw().toBuffer(
    { resolveWithObject: true },
  );
  return new ImageData(new Uint8ClampedArray(buffer), width, height);
}

const { rows, columns } = process.stdout;

const im = await toImageData(
  img.resize(columns >> 1, rows - 3, { fit: "inside", background: "white" }),
);

for (let i = 0; i < im.data.length; i += 4) {
  let [r, g, b, a] = im.data.subarray(i, i + 4);
  const ansi = `\x1b[48;2;${r};${g};${b}m`;
  process.stdout.write(ansi + "  ");
  if ((i / 4) % im.width === im.width - 1) console.log();
}

console.log();