import quantize from 'quantize';
import * as d3 from 'd3-color';
import type { Color } from 'd3-color';
import { dev } from '$app/environment';

export function randomSeed() {
	return BigInt(13248873089935215612 & (((1 << 63) - 1) * Math.random()));
}

function sortColors(colors: Color[]): Color[] {
	const reverse = true;
	return colors
		.map((color) => d3.hcl(color))
		.sort((a, b) => {
			const aa = a.h;
			const bb = b.h;

			return !reverse ? aa - bb || isNaN(aa) - isNaN(bb) : bb - aa || isNaN(bb) - isNaN(aa);
		});
}

function createPixelArray(imgData: Uint8ClampedArray, pixelCount: number, quality: number) {
	// from https://github.com/lokesh/color-thief
	const pixels = imgData;
	const pixelArray = [];

	for (let i = 0, offset, r, g, b, a; i < pixelCount; i = i + quality) {
		offset = i * 4;
		r = pixels[offset + 0];
		g = pixels[offset + 1];
		b = pixels[offset + 2];
		a = pixels[offset + 3];

		// If pixel is mostly opaque and not white
		if (typeof a === 'undefined' || a >= 125) {
			if (!(r > 250 && g > 250 && b > 250)) {
				pixelArray.push([r, g, b]);
			}
		}
	}
	return pixelArray;
}

export function extractPalette(
	base64image: string,
	colorCount = 5,
	quality = 1
): Promise<{ colors: Color[]; imgBlob: Blob }> {
	return new Promise((resolve) => {
		const img = new Image();
		img.onload = async () => {
			const w = img.width;
			const h = img.height;
			const canvas = document.createElement('canvas');
			canvas.width = w;
			canvas.height = h;
			const ctx = canvas.getContext('2d') as CanvasRenderingContext2D;
			ctx.drawImage(img, 0, 0, w, h);
			const imageData = ctx.getImageData(0, 0, w, h);
			const pixelArray = createPixelArray(imageData.data, w * h, quality);
			const cmap = quantize(pixelArray, colorCount);
			const colors: number[][] = cmap.palette();
			const tempCanvas = document.createElement('canvas');
			tempCanvas.width = w / 5;
			tempCanvas.height = h / 5;
			const tempCtx = tempCanvas.getContext('2d') as CanvasRenderingContext2D;
			tempCtx.drawImage(img, 0, 0, w, h, 0, 0, w / 5, h / 5);

			const imgBlob: Blob = await new Promise((_resolve) =>
				tempCanvas.toBlob(_resolve, 'image/jpeg', 0.8)
			);
			const colorsRGB = colors.map((color) => d3.rgb(...(color as [number, number, number])));
			resolve({
				colors: sortColors(colorsRGB),
				imgBlob
			});
		};
		img.src = base64image;
	});
}

export async function uploadImage(imagBlob: Blob, prompt: string): string {
	// simple regex slugify string	for file name
	const promptSlug = slugify(prompt);
	const UPLOAD_URL = dev ? 'moon/uploads' : 'https://huggingface.co/uploads';

	const hash = crypto.randomUUID().split('-')[0];
	const fileName = `color-palette-${hash}-${promptSlug}.jpeg`;

	const file = new File([imagBlob], fileName, { type: 'image/jpeg' });

	console.log('uploading image', file);

	const response = await fetch(UPLOAD_URL, {
		method: 'POST',
		headers: {
			'Content-Type': file.type,
			'X-Requested-With': 'XMLHttpRequest'
		},
		body: file /// <- File inherits from Blob
	});
	const url = await response.text();

	console.log('uploaded images', url);
	return url;
}

function slugify(text: string) {
	if (!text) return '';
	return text
		.toString()
		.toLowerCase()
		.replace(/\s+/g, '-')
		.replace(/[^\w\-]+/g, '')
		.replace(/\-\-+/g, '-')
		.replace(/^-+/, '')
		.replace(/-+$/, '');
}