86 lines
2.4 KiB
TypeScript
86 lines
2.4 KiB
TypeScript
import { parse } from "https://deno.land/std@0.106.0/flags/mod.ts";
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import { createCanvas } from "https://deno.land/x/canvas@v1.3.0/mod.ts";
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import { CollageModeType, collageModeType } from "../src/common/collages.ts";
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import DenoCollageModes, {
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CastCanvasRenderingContext,
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ProxyImage,
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} from "./collages.ts";
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import { CollageConfig } from "../src/common/types.ts";
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import { choice, shuffle } from "../src/common/utils.ts";
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import { walkSync } from "https://deno.land/std@0.107.0/fs/mod.ts";
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const args = parse(Deno.args, {
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alias: {
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"w": "width",
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"h": "height",
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"o": "output",
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"m": "mode",
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"r": "recursive",
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},
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boolean: ["recursive"]
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});
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if (args["mode"] === true) {
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console.log(collageModeType.join(", "));
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Deno.exit(0);
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}
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const files: Set<string> = new Set();
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const includeExtensions = Array.from(
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String(args["include"] || "*.png, *.jpg").matchAll(/\*\.([\w]+)/g),
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).map(([_, group]) => group);
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args["_"].forEach((arg) => {
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arg = arg.toString();
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if (Deno.statSync(arg).isDirectory) {
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Array.from(
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walkSync(arg, {
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maxDepth: args["recursive"]
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? Infinity
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: 1,
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includeDirs: false,
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includeFiles: true,
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exts: includeExtensions.length ? includeExtensions : undefined,
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}),
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).forEach((entry) => files.add(entry.path));
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} else {
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files.add(arg);
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}
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});
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if (files.size < 2) {
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console.error("kollagen needs at least 2 images to work.");
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Deno.exit(1);
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}
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const shuffledFiles = shuffle(Array.from(files));
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const images: ProxyImage[] = shuffledFiles.map((file) => new ProxyImage(file));
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const modes = new DenoCollageModes();
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const modeKey: CollageModeType = args["mode"] || choice(collageModeType);
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const mode = modes.modes[modeKey];
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console.log(
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`Creating a "${mode.name}" collage, choosing from ${shuffledFiles.length} files...`,
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);
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// console.debug(`Images: ${shuffledFiles.join(", ")}`);
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const canvas = createCanvas(args["width"] || 640, args["height"] || 640);
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const context = canvas.getContext("2d");
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const collageConfig: CollageConfig = {
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numImages: args["n"],
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};
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const segments = mode.getSegments(
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context as CastCanvasRenderingContext,
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collageConfig,
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images,
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);
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mode.place(context as CastCanvasRenderingContext, images, segments);
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const output = args["output"] || "collage.png";
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console.log(`Saving to "${output}"...`);
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await Deno.writeFile(output, canvas.toBuffer());
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