autoformat

also use module augmentation to simplify types and all

TODO: make web app also use the same recursive code

.gitignore

@@ -1,5 +1,6 @@
 .DS_Store
 node_modules
+.npm
 /dist
 
 # local env files
@@ -20,3 +21,6 @@ pnpm-debug.log*
 *.njsproj
 *.sln
 *.sw?
+
+# Build files
+/kollagen

.gitlab-ci.yml

@@ -0,0 +1,34 @@
+stages:
+  - lint
+  - build
+
+deno_lint:
+  stage: lint
+  image: denoland/deno:latest
+  script:
+    - cd cli
+    - deno lint
+
+deno_build:
+  stage: build
+  image: denoland/deno:latest
+  script:
+    - cd cli
+    - deno compile --import-map ./import_map.json --allow-read --allow-write --unstable -o ../kollagen main.ts
+  artifacts:
+    paths:
+      - kollagen
+
+app_build:
+  stage: build
+  image: node:lts
+  script:
+    - node --version && npm --version
+    - make app
+  cache:
+    key: ${CI_COMMIT_REF_SLUG}
+    paths:
+      - .npm
+  artifacts:
+    paths:
+      - dist

CHANGELOG.md

@@ -0,0 +1,49 @@
+# Changelog
+All notable changes to this project will be documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## [Unreleased]
+
+## [0.2.0] - 2020-07-20
+### Added
+- Specific modes can now be excluded from rotation in shuffle & recursive modes 
+
+## [0.1.0] - 2020-07-17
+### Added
+- Recursive collage placement mode! 
+
+### Changed
+- Refactored modes - they are no longer solely responsible for drawing, but can use common rendering functions through composition.
+
+### Fixed
+- Incorrect size calculation for "Irregular column" mode.
+
+## [0.0.4] - 2020-07-17 
+### Fixed
+- Blending mode now properly resets after using the "Blend" collage mode. 
+
+## [0.0.3] - 2020-07-17
+### Added
+- "Blend" collage mode - based on a random selection of compositing operations.
+- LICENSE file.
+
+## [0.0.2] - 2020-07-16
+### Changed
+- Split "Grid" mode into "Clean grid" and "Irregular grid" (because "clean cropping" config only really applied to this mode.)
+
+## [0.0.1] - 2020-07-15
+### Added
+- First public version!
+- Basic modes: Grid, (ir)regular row, (ir)regular column,  concentric modes.
+
+
+[Unreleased]: https://gitlab.com/tmladek/kollagen/-/compare/v0.2.0...master
+[0.2.0]: https://gitlab.com/tmladek/kollagen/-/compare/v0.1.0...v0.2.0
+[0.1.0]: https://gitlab.com/tmladek/kollagen/-/compare/v0.0.4...v0.1.0
+[0.0.4]: https://gitlab.com/tmladek/kollagen/-/compare/v0.0.3...v0.0.4
+[0.0.3]: https://gitlab.com/tmladek/kollagen/-/compare/v0.0.2...v0.0.3
+[0.0.2]: https://gitlab.com/tmladek/kollagen/-/compare/v0.0.1...v0.0.2
+[0.0.1]: https://gitlab.com/tmladek/kollagen/-/tags/v0.0.1
+

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2020 Tomáš Mládek
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

Makefile

@@ -0,0 +1,21 @@
+all: clean deno_lint deno_docker tgbot app
+
+deno_lint:
+	cd cli && deno lint
+
+deno: ./kollagen
+
+./kollagen:
+	cd cli && deno compile --import-map ./import_map.json --allow-read --allow-write --unstable -o ../kollagen main.ts
+
+deno_docker:
+	docker run --rm -v $$PWD:/app denoland/deno compile --import-map /app/cli/import_map.json --allow-read --allow-write --unstable -o /app/kollagen /app/cli/main.ts
+
+app:
+	npm ci --cache .npm --prefer-offline && npm run build
+
+tgbot: ./kollagen
+	docker build -t kollagen-bot -f tgbot/Dockerfile .
+
+clean:
+	rm -rvf dist kollagen

cli/collages.ts

@@ -0,0 +1,96 @@
+import { CollageModes } from "../src/common/collages.ts";
+import {
+  init,
+  CanvasRenderingContext2D,
+  EmulatedCanvas2D,
+  Image,
+} from "https://deno.land/x/canvas@v1.3.0/mod.ts";
+import { CollageImage } from "../src/common/types.ts";
+
+const canvasKit = await init();
+
+export class ProxyImage implements CollageImage {
+  private filepath: string | null;
+  private _image: Image | undefined;
+
+  constructor(input: string | Image) {
+    if (typeof input === "string") {
+      this.filepath = input;
+    } else {
+      this.filepath = null;
+      this._image = input;
+    }
+  }
+
+  public get path(): string | null {
+    return this.filepath;
+  }
+
+  public get image(): Image {
+    if (!this._image) {
+      const image = canvasKit.MakeImageFromEncoded(
+        Deno.readFileSync(this.filepath!)
+      );
+      if (!image) {
+        throw Error(`Failed loading ${this.filepath}!`);
+      }
+      this._image = image;
+    }
+    return this._image;
+  }
+
+  public get width(): number {
+    return this.image.width();
+  }
+
+  public get height(): number {
+    return this.image.height();
+  }
+}
+
+declare module "https://deno.land/x/canvas@v1.3.0/mod.ts" {
+  interface HTMLCanvasElement {
+    width: number;
+    height: number;
+    getContext(x: "2d"): CanvasRenderingContext2D;
+  }
+}
+
+export class DenoCollageModes extends CollageModes<
+  CanvasRenderingContext2D,
+  ProxyImage,
+  EmulatedCanvas2D
+> {
+  createCanvas(w: number, h: number): EmulatedCanvas2D {
+    const canvas = canvasKit.MakeCanvas(Math.round(w), Math.round(h));
+    if (!canvas) {
+      throw Error("Error initializing canvas.");
+    }
+    return canvas;
+  }
+
+  canvasToImage(canvas: EmulatedCanvas2D): PromiseLike<ProxyImage> {
+    const image = canvasKit.MakeImageFromEncoded(canvas.toBuffer());
+    if (!image) {
+      throw Error("Something went wrong converting canvas to image.");
+    }
+    return Promise.resolve(new ProxyImage(image));
+  }
+
+  drawImage(
+    ctx: CanvasRenderingContext2D,
+    image: ProxyImage,
+    sx: number,
+    sy: number,
+    sw: number,
+    sh: number,
+    dx: number,
+    dy: number,
+    dw: number,
+    dh: number
+  ): void {
+    ctx.drawImage(image.image, sx, sy, sw, sh, dx, dy, dw, dh);
+  }
+}
+
+export const denoCollageModes = new DenoCollageModes();

cli/import_map.json

@@ -0,0 +1,6 @@
+{
+    "imports": {
+        "@/common/types": "../src/common/types.ts",
+        "@/common/utils": "../src/common/utils.ts"
+    }
+}

cli/main.ts

@@ -0,0 +1,105 @@
+import { parse } from "https://deno.land/std@0.106.0/flags/mod.ts";
+import { createCanvas } from "https://deno.land/x/canvas@v1.3.0/mod.ts";
+import {
+  collageModeType,
+  DisplayCollageModeType,
+  displayCollageModeType,
+} from "../src/common/collages.ts";
+import { denoCollageModes, ProxyImage } from "./collages.ts";
+import { CollageConfig } from "../src/common/types.ts";
+import { choice, shuffle } from "../src/common/utils.ts";
+import { walkSync } from "https://deno.land/std@0.107.0/fs/mod.ts";
+import { parseCollageModes, parseDisplayCollageModes } from "./util.ts";
+
+const args = parse(Deno.args, {
+  alias: {
+    w: "width",
+    h: "height",
+    o: "output",
+    m: "mode",
+  },
+  boolean: ["rr"],
+  default: {
+    w: 640,
+    h: 640,
+    include: "*.png, *.jpg",
+    output: "collage.png",
+    rl: 2,
+    rr: false,
+  },
+});
+
+if (args["mode"] === true) {
+  console.log(displayCollageModeType.join(", "));
+  Deno.exit(0);
+}
+
+const files: Set<string> = new Set();
+const includeExtensions = Array.from(
+  String(args["include"]).matchAll(/\*\.([\w]+)/g)
+).map(([_, group]) => group);
+
+args["_"].forEach((arg) => {
+  arg = arg.toString();
+  if (Deno.statSync(arg).isDirectory) {
+    Array.from(
+      walkSync(arg, {
+        maxDepth: Infinity,
+        includeDirs: false,
+        includeFiles: true,
+        exts: includeExtensions.length ? includeExtensions : undefined,
+      })
+    ).forEach((entry) => files.add(entry.path));
+  } else {
+    files.add(arg);
+  }
+});
+
+if (files.size < 2) {
+  console.error("kollagen needs at least 2 images to work.");
+  Deno.exit(1);
+}
+
+const shuffledFiles = shuffle(Array.from(files));
+
+const images: ProxyImage[] = shuffledFiles.map((file) => new ProxyImage(file));
+
+const allModeKeys = args["mode"]
+  ? parseDisplayCollageModes(args["mode"])
+  : displayCollageModeType;
+
+const canvas = createCanvas(args["width"], args["height"]);
+const context = canvas.getContext("2d");
+
+const collageConfig: CollageConfig = {
+  numImages: args["n"],
+};
+const modeKey: DisplayCollageModeType = choice(allModeKeys);
+
+if (modeKey === "recursive") {
+  console.log(
+    `Creating a recursive collage, choosing from ${shuffledFiles.length} files...`
+  );
+  await denoCollageModes.recursiveDraw(context, images, {
+    modes: args["rm"] ? parseCollageModes(args["rm"]) : collageModeType,
+    repeat: args["rr"],
+    level: args["rl"],
+  });
+} else {
+  const mode = denoCollageModes.modes[modeKey];
+  console.log(
+    `Creating a "${mode.name}" collage, choosing from ${shuffledFiles.length} files...`
+  );
+  const segments = mode.getSegments(context, collageConfig, images);
+  mode.place(context, images, segments);
+  console.log(
+    `Used: ${images
+      .slice(0, segments.length)
+      .map((img) => img.path)
+      .join(", ")}`
+  );
+}
+
+const output = args["output"];
+console.log(`Saving to "${output}"...`);
+await Deno.writeFile(output, canvas.toBuffer());

cli/util.ts

@@ -0,0 +1,29 @@
+import { CollageModeType, DisplayCollageModeType, isCollageModeType, isDisplayCollageModeType } from "../src/common/collages.ts";
+
+export function parseDisplayCollageModes(input: string): DisplayCollageModeType[] {
+    const result: DisplayCollageModeType[] = [];
+
+    input.split(",").map((m) => m.trim()).forEach((m) => {
+        if (isDisplayCollageModeType(m)) {
+            result.push(m);
+        } else {
+            throw Error(`"${m}" is not a valid collage mode.`);
+        }
+    });
+
+    return result;
+}
+
+export function parseCollageModes(input: string): CollageModeType[] {
+    const result: CollageModeType[] = [];
+
+    input.split(",").map((m) => m.trim()).forEach((m) => {
+        if (isCollageModeType(m)) {
+            result.push(m);
+        } else {
+            throw Error(`"${m}" is not a valid collage mode.`);
+        }
+    });
+
+    return result;
+}

package-lock.json

@@ -1,6 +1,6 @@
 {
   "name": "kollagen",
-  "version": "0.1.0",
+  "version": "0.2.0",
   "lockfileVersion": 1,
   "requires": true,
   "dependencies": {
@@ -2810,9 +2810,9 @@
       }
     },
     "caniuse-lite": {
-      "version": "1.0.30001085",
-      "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001085.tgz",
-      "integrity": "sha512-x0YRFRE0pmOD90z+9Xk7jwO58p4feVNXP+U8kWV+Uo/HADyrgESlepzIkUqPgaXkpyceZU6siM1gsK7sHgplqA==",
+      "version": "1.0.30001257",
+      "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001257.tgz",
+      "integrity": "sha512-JN49KplOgHSXpIsVSF+LUyhD8PUp6xPpAXeRrrcBh4KBeP7W864jHn6RvzJgDlrReyeVjMFJL3PLpPvKIxlIHA==",
       "dev": true
     },
     "case-sensitive-paths-webpack-plugin": {

package.json

@@ -1,6 +1,6 @@
 {
   "name": "kollagen",
-  "version": "0.0.2",
+  "version": "0.2.0",
   "homepage": "https://gitlab.com/tmladek/kollagen",
   "private": true,
   "scripts": {

src/collages.ts

@@ -1,173 +1,14 @@
-import {CollageMode} from "@/types";
-import {randint, shuffle} from "@/utils";
+import { CollageModes } from "./common/collages";
 
-const collageModeType = ["clean_grid", "chaos_grid", "row", "irow", "col", "icol", "concentric_factor", "concentric_spaced"] as const;
-export type CollageModeType = typeof collageModeType[number];
+export default class BrowserCollageModes extends CollageModes<CanvasRenderingContext2D, ImageBitmap, any> {
+    drawImage(ctx: CanvasRenderingContext2D, image: ImageBitmap, sx: number, sy: number, sw: number, sh: number, dx: number, dy: number, dw: number, dh: number): void {
+        ctx.drawImage(image, sx, sy, sw, sh, dx, dy, dw, dh);
+    }
 
-function cleanDraw(ctx: CanvasRenderingContext2D, image: ImageBitmap,
-                   x: number, y: number, w: number, h: number) {
-    const scaleRatio = Math.max(w / image.width, h / image.height);
-    ctx.drawImage(
-      image,
-      image.width / 2 - w / scaleRatio / 2, image.height / 2 - h / scaleRatio / 2,
-      w / scaleRatio, h / scaleRatio,
-      x - w / 2, y - h / 2,
-      w, h
-    );
+    createCanvas(w: number, h: number) {
+        throw new Error("Method not implemented.");
+    }
+    canvasToImage(canvas: any): PromiseLike<ImageBitmap> {
+        throw new Error("Method not implemented.");
+    }
 }
-
-function getGridPoints(ctx: CanvasRenderingContext2D, idx: number) {
-    let x!: number, y!: number;
-    switch (idx) {
-        case 0:
-            x = ctx.canvas.width * .25;
-            y = ctx.canvas.height * .25;
-            break;
-        case 1:
-            x = ctx.canvas.width * .75;
-            y = ctx.canvas.height * .25;
-            break;
-        case 2:
-            x = ctx.canvas.width * .25;
-            y = ctx.canvas.height * .75;
-            break;
-        case 3:
-            x = ctx.canvas.width * .75;
-            y = ctx.canvas.height * .75;
-            break;
-    }
-    return [x, y];
-}
-
-const modes: { [key in CollageModeType]: CollageMode } = {
-    "clean_grid": {
-        name: "Clean Grid",
-        minImages: 4,
-        forceConfig: {
-            numImages: 4
-        },
-        place: (ctx, images, config) => {
-            const quadrantSize = [ctx.canvas.width / 2, ctx.canvas.height / 2];
-            const selectedImages = shuffle(images).slice(0, 4);
-            selectedImages.forEach((image, idx) => {
-                const [x, y] = getGridPoints(ctx, idx);
-                cleanDraw(ctx, image, x, y, quadrantSize[0], quadrantSize[1]);
-            });
-        }
-    },
-    "chaos_grid": {
-        name: "Irregular Grid",
-        minImages: 4,
-        forceConfig: {
-            numImages: 4
-        },
-        place: (ctx, images, config) => {
-            const quadrantSize = [ctx.canvas.width / 2, ctx.canvas.height / 2];
-            const selectedImages = shuffle(images).slice(0, 4);
-            shuffle(selectedImages.map((image, idx) => [image, idx] as [ImageBitmap, number]))
-              .forEach(([image, idx]) => {
-                  const [x, y] = getGridPoints(ctx, idx);
-                  const scaleRatio = Math.max(quadrantSize[0] / image.width, quadrantSize[1] / image.height);
-                  ctx.drawImage(image,
-                    x - (image.width * scaleRatio / 2), y - (image.height * scaleRatio / 2),
-                    image.width * scaleRatio, image.height * scaleRatio);
-              });
-        }
-    },
-    "row": {
-        name: "Regular Row",
-        minImages: 2,
-        place: (ctx, images, config) => {
-            const selectedImages = shuffle(images).slice(0, config.numImages || randint(4) + 2);
-            const quadrantSize = [ctx.canvas.width / selectedImages.length, ctx.canvas.height];
-            selectedImages.forEach((image, idx) => {
-                const x = idx * quadrantSize[0] + quadrantSize[0] / 2;
-                const y = quadrantSize[1] / 2;
-                cleanDraw(ctx, image, x, y, quadrantSize[0], quadrantSize[1]);
-            });
-        }
-    },
-    "irow": {
-        name: "Irregular Row",
-        minImages: 2,
-        place: (ctx, images, config) => {
-            const selectedImages = shuffle(images).slice(0, config.numImages || randint(4) + 2);
-            const quadrantSize = [ctx.canvas.width / selectedImages.length, ctx.canvas.height];
-            selectedImages.forEach((image, idx) => {
-                const x = idx * quadrantSize[0] + quadrantSize[0] / 2;
-                const y = quadrantSize[1] / 2;
-                const w = Math.min(ctx.canvas.width / 2,
-                  quadrantSize[1] + Math.random() * (quadrantSize[1] - (quadrantSize[1] / image.height) * image.width));
-                cleanDraw(ctx, image, x, y, w, quadrantSize[1]);
-            });
-        }
-    },
-    "col": {
-        name: "Regular Column",
-        minImages: 2,
-        place: (ctx, images, config) => {
-            const selectedImages = shuffle(images).slice(0, config.numImages || randint(4) + 2);
-            const quadrantSize = [ctx.canvas.width, ctx.canvas.height / selectedImages.length];
-            selectedImages.forEach((image, idx) => {
-                const x = quadrantSize[0] / 2;
-                const y = idx * quadrantSize[1] + quadrantSize[1] / 2;
-                cleanDraw(ctx, image, x, y, quadrantSize[0], quadrantSize[1]);
-            });
-        }
-    },
-    "icol": {
-        name: "Irregular Column",
-        minImages: 2,
-        place: (ctx, images, config) => {
-            const selectedImages = shuffle(images).slice(0, config.numImages || randint(4) + 2);
-            const quadrantSize = [ctx.canvas.width, ctx.canvas.height / selectedImages.length];
-            selectedImages.forEach((image, idx) => {
-                const x = quadrantSize[0] / 2;
-                const y = idx * quadrantSize[1] + quadrantSize[1] / 2;
-                const h = Math.min(ctx.canvas.height / 2,
-                  quadrantSize[0] + Math.random() * (quadrantSize[0] - (quadrantSize[0] / image.width) * image.height));
-                cleanDraw(ctx, image, x, y, quadrantSize[0], h);
-            });
-        },
-    },
-    "concentric_factor": {
-        name: "Constant factor concentric",
-        minImages: 2,
-        place: (ctx, images, config) => {
-            const selectedImages = shuffle(images).slice(0, config.numImages || randint(4) + 2);
-            const x = ctx.canvas.width / 2;
-            const y = ctx.canvas.height / 2;
-
-            let factor: number;
-            if (Math.random() > .5) {
-                const factors = [1 / Math.sqrt(2), .5, .88];
-                factor = factors[Math.floor(Math.random() * factors.length)];
-            } else {
-                factor = 1 - (1 / selectedImages.length);
-            }
-            selectedImages.forEach((image, idx) => {
-                const ratio = Math.pow(factor, idx);
-                cleanDraw(ctx, image, x, y, ctx.canvas.width * ratio, ctx.canvas.height * ratio);
-            });
-        }
-    },
-    "concentric_spaced": {
-        name: "Equally spaced concentric",
-        minImages: 2,
-        place: (ctx, images, config) => {
-            const selectedImages = shuffle(images).slice(0, config.numImages || randint(4) + 2);
-            const x = ctx.canvas.width / 2;
-            const y = ctx.canvas.height / 2;
-
-            selectedImages.forEach((image, idx) => {
-                cleanDraw(
-                  ctx, image, x, y,
-                  ctx.canvas.width - (ctx.canvas.width / selectedImages.length * idx),
-                  ctx.canvas.height - (ctx.canvas.height / selectedImages.length * idx),
-                );
-            });
-        }
-    }
-};
-
-export default modes;

src/common/collages.ts

@@ -0,0 +1,397 @@
+import {
+  CollageCanvas,
+  CollageConfig,
+  CollageContext,
+  CollageImage,
+  CollageMode,
+  Segment,
+} from "@/common/types";
+import { choice, randint, range, shuffle } from "@/common/utils";
+
+export const collageModeType = [
+  "clean_grid",
+  "chaos_grid",
+  "row",
+  "irow",
+  "col",
+  "icol",
+  "concentric_factor",
+  "concentric_spaced",
+  "blend",
+] as const;
+export type CollageModeType = typeof collageModeType[number];
+export function isCollageModeType(value: string): value is CollageModeType {
+  return (collageModeType as readonly string[]).includes(value);
+}
+
+export const displayCollageModeType = [
+  ...collageModeType,
+  "recursive",
+] as const;
+export type DisplayCollageModeType = typeof displayCollageModeType[number];
+export function isDisplayCollageModeType(
+  value: string
+): value is DisplayCollageModeType {
+  return (displayCollageModeType as readonly string[]).includes(value);
+}
+
+export interface RecursiveCollageConfig {
+  level: number;
+  repeat: boolean;
+  modes: readonly CollageModeType[];
+}
+
+export abstract class CollageModes<
+  C extends CollageContext,
+  I extends CollageImage,
+  CS extends CollageCanvas
+> {
+  readonly modes: { [key in CollageModeType]: CollageMode<C, I> } = {
+    clean_grid: {
+      name: "Clean Grid",
+      minImages: 4,
+      forceConfig: {
+        numImages: 4,
+      },
+      getSegments: this.getGridSegments,
+      place: this.cleanPlace.bind(this),
+    },
+    chaos_grid: {
+      name: "Irregular Grid",
+      minImages: 4,
+      forceConfig: {
+        numImages: 4,
+      },
+      getSegments: this.getGridSegments,
+      place: (ctx, images, segments) => {
+        const shuffledImages = shuffle(images);
+        shuffle(
+          segments.map((segment, idx) => [segment, idx] as [Segment, number])
+        ).forEach(([segment, idx]) => {
+          const image = shuffledImages[idx];
+          const scaleRatio = Math.max(
+            segment.w / image.width,
+            segment.h / image.height
+          );
+          this.drawImage(
+            ctx,
+            image,
+            0,
+            0,
+            image.width,
+            image.height,
+            segment.x - (image.width * scaleRatio) / 2,
+            segment.y - (image.height * scaleRatio) / 2,
+            image.width * scaleRatio,
+            image.height * scaleRatio
+          );
+        });
+      },
+    },
+    row: {
+      name: "Regular Row",
+      minImages: 2,
+      getSegments: (ctx, config, images) => {
+        const numImages = Math.min(
+          images?.length || Infinity,
+          config?.numImages || randint(4) + 2
+        );
+        const segmentSize = [ctx.canvas.width / numImages, ctx.canvas.height];
+        return range(numImages).map((idx) => {
+          return {
+            x: idx * segmentSize[0] + segmentSize[0] / 2,
+            y: segmentSize[1] / 2,
+            w: segmentSize[0],
+            h: segmentSize[1],
+          };
+        });
+      },
+      place: this.cleanPlace.bind(this),
+    },
+    irow: {
+      name: "Irregular Row",
+      minImages: 2,
+      getSegments: (ctx, config, images) => {
+        const numImages = Math.min(
+          images?.length || Infinity,
+          config?.numImages || randint(4) + 2
+        );
+        const segmentSize = [ctx.canvas.width / numImages, ctx.canvas.height];
+        return range(numImages).map((idx) => {
+          const irregularWidth = images
+            ? segmentSize[0] +
+              Math.random() *
+                ((segmentSize[1] / images[idx].height) * images[idx].width -
+                  segmentSize[0])
+            : segmentSize[0] + Math.random() * segmentSize[0] * 0.5;
+          return {
+            x: idx * segmentSize[0] + segmentSize[0] / 2,
+            y: segmentSize[1] / 2,
+            w: Math.min(ctx.canvas.width / 2, irregularWidth),
+            h: segmentSize[1],
+          };
+        });
+      },
+      place: this.cleanPlace.bind(this),
+    },
+    col: {
+      name: "Regular Column",
+      minImages: 2,
+      getSegments: (ctx, config, images) => {
+        const numImages = Math.min(
+          images?.length || Infinity,
+          config?.numImages || randint(4) + 2
+        );
+        const segmentSize = [ctx.canvas.width, ctx.canvas.height / numImages];
+        return range(numImages).map((idx) => {
+          return {
+            x: segmentSize[0] / 2,
+            y: idx * segmentSize[1] + segmentSize[1] / 2,
+            w: segmentSize[0],
+            h: segmentSize[1],
+          };
+        });
+      },
+      place: this.cleanPlace.bind(this),
+    },
+    icol: {
+      name: "Irregular Column",
+      minImages: 2,
+      getSegments: (ctx, config, images) => {
+        const numImages = Math.min(
+          images?.length || Infinity,
+          config?.numImages || randint(4) + 2
+        );
+        const segmentSize = [ctx.canvas.width, ctx.canvas.height / numImages];
+        return range(numImages).map((idx) => {
+          const irregularHeight = images
+            ? segmentSize[1] +
+              Math.random() *
+                ((segmentSize[0] / images[idx].width) * images[idx].height -
+                  segmentSize[1])
+            : segmentSize[1] + Math.random() * segmentSize[1] * 0.5;
+          return {
+            x: segmentSize[0] / 2,
+            y: idx * segmentSize[1] + segmentSize[1] / 2,
+            w: segmentSize[0],
+            h: Math.min(ctx.canvas.height / 2, irregularHeight),
+          };
+        });
+      },
+      place: this.cleanPlace.bind(this),
+    },
+    concentric_factor: {
+      name: "Constant factor concentric",
+      minImages: 2,
+      getSegments: (ctx, config, images) => {
+        const numImages = Math.min(
+          images?.length || Infinity,
+          config?.numImages || randint(4) + 2
+        );
+        let factor: number;
+        if (Math.random() > 0.5) {
+          factor = choice([1 / Math.sqrt(2), 0.5, 0.88]);
+        } else {
+          factor = 1 - 1 / numImages;
+        }
+        return range(numImages).map((idx) => {
+          const ratio = Math.pow(factor, idx);
+          return {
+            x: ctx.canvas.width / 2,
+            y: ctx.canvas.height / 2,
+            w: ctx.canvas.width * ratio,
+            h: ctx.canvas.height * ratio,
+          };
+        });
+      },
+      place: this.cleanPlace.bind(this),
+    },
+    concentric_spaced: {
+      name: "Equally spaced concentric",
+      minImages: 2,
+      getSegments: (ctx, config, images) => {
+        const numImages = Math.min(
+          images?.length || Infinity,
+          config?.numImages || randint(2) + 2
+        );
+        return range(numImages).map((idx) => {
+          return {
+            x: ctx.canvas.width / 2,
+            y: ctx.canvas.height / 2,
+            w: ctx.canvas.width - (ctx.canvas.width / numImages) * idx,
+            h: ctx.canvas.height - (ctx.canvas.height / numImages) * idx,
+          };
+        });
+      },
+      place: this.cleanPlace.bind(this),
+    },
+    blend: {
+      name: "Blending",
+      minImages: 2,
+      getSegments: (ctx, config, images) => {
+        const numImages = Math.min(
+          images?.length || Infinity,
+          config?.numImages || randint(2) + 2
+        );
+        return range(numImages).map((_) => {
+          return {
+            x: ctx.canvas.width / 2,
+            y: ctx.canvas.height / 2,
+            w: ctx.canvas.width,
+            h: ctx.canvas.height,
+          };
+        });
+      },
+      place: (ctx, images, segments) => {
+        ctx.globalCompositeOperation = choice([
+          "difference",
+          "saturation",
+          "soft-light",
+          "overlay",
+        ]);
+        this.cleanPlace(ctx, images, segments);
+      },
+    },
+  };
+
+  public async recursiveDraw(
+    context: C,
+    images: I[],
+    recursiveConfig: RecursiveCollageConfig
+  ) {
+    const localImages = images.concat();
+    const rootSegment: Segment = {
+      x: 0,
+      y: 0,
+      w: context.canvas.width,
+      h: context.canvas.height,
+    };
+    const processSegment = async (
+      segment: Segment,
+      level: number
+    ): Promise<I> => {
+      // console.debug(segment, level);
+      if (segment === rootSegment || level <= recursiveConfig.level - 1) {
+        const canvas = this.createCanvas(segment.w, segment.h);
+        const modeKey = choice(recursiveConfig.modes);
+        // console.debug(modeKey);
+        const mode = this.modes[modeKey];
+        const ctx = canvas.getContext("2d") as C;
+        const segments = mode.getSegments(ctx);
+        // console.debug(segments);
+        const bitmaps = await Promise.all(
+          segments.map((segment: Segment) => processSegment(segment, level + 1))
+        );
+        mode.place(ctx, bitmaps, segments);
+        return await this.canvasToImage(canvas);
+      } else {
+        if (recursiveConfig.repeat) {
+          return choice(localImages);
+        } else {
+          if (localImages.length > 0) {
+            return localImages.pop() as I;
+          } else {
+            throw "RAN OUT OF IMAGES";
+          }
+        }
+      }
+    };
+
+    const result = await processSegment(rootSegment, 0);
+    this.drawImage(
+      context,
+      result,
+      0,
+      0,
+      result.width,
+      result.height,
+      0,
+      0,
+      context.canvas.width,
+      context.canvas.height
+    );
+  }
+
+  private cleanDraw(
+    ctx: C,
+    image: I,
+    x: number,
+    y: number,
+    w: number,
+    h: number
+  ) {
+    const scaleRatio = Math.max(w / image.width, h / image.height);
+    this.drawImage(
+      ctx,
+      image,
+      image.width / 2 - w / scaleRatio / 2,
+      image.height / 2 - h / scaleRatio / 2,
+      w / scaleRatio,
+      h / scaleRatio,
+      x - w / 2,
+      y - h / 2,
+      w,
+      h
+    );
+  }
+
+  private cleanPlace(ctx: C, images: I[], segments: Segment[]) {
+    segments.forEach((segment, idx) => {
+      this.cleanDraw(
+        ctx,
+        images[idx],
+        segment.x,
+        segment.y,
+        segment.w,
+        segment.h
+      );
+    });
+  }
+
+  private getGridSegments(ctx: C, config?: CollageConfig) {
+    return [0, 1, 2, 3].map((idx) => {
+      let x!: number, y!: number;
+      switch (idx) {
+        case 0:
+          x = ctx.canvas.width * 0.25;
+          y = ctx.canvas.height * 0.25;
+          break;
+        case 1:
+          x = ctx.canvas.width * 0.75;
+          y = ctx.canvas.height * 0.25;
+          break;
+        case 2:
+          x = ctx.canvas.width * 0.25;
+          y = ctx.canvas.height * 0.75;
+          break;
+        case 3:
+          x = ctx.canvas.width * 0.75;
+          y = ctx.canvas.height * 0.75;
+          break;
+      }
+      return {
+        x,
+        y,
+        w: ctx.canvas.width / 2,
+        h: ctx.canvas.height / 2,
+      };
+    });
+  }
+
+  abstract createCanvas(w: number, h: number): CS;
+
+  abstract canvasToImage(canvas: CS): PromiseLike<I>;
+
+  abstract drawImage(
+    ctx: C,
+    image: I,
+    sx: number,
+    sy: number,
+    sw: number,
+    sh: number,
+    dx: number,
+    dy: number,
+    dw: number,
+    dh: number
+  ): void;
+}

src/common/types.ts

@@ -0,0 +1,35 @@
+export interface CollageMode<C extends CollageContext, I extends CollageImage> {
+    name: string;
+    minImages: number;
+    getSegments: (ctx: C, config?: CollageConfig, images?: I[]) => Segment[];
+    place: (ctx: C, images: I[], segments: Segment[]) => void;
+    forceConfig?: CollageConfig;
+}
+
+export interface CollageConfig {
+    numImages?: number;
+}
+
+export interface Segment {
+    x: number;
+    y: number;
+    w: number;
+    h: number;
+}
+
+
+export interface CollageContext {
+    globalCompositeOperation: string;
+    canvas: CollageCanvas
+}
+
+export interface CollageCanvas {
+    width: number;
+    height: number;
+    getContext: (x: '2d') => CollageContext | null
+}
+
+export interface CollageImage {
+    width: number;
+    height: number;
+}

src/common/utils.ts

@@ -17,3 +17,11 @@ export function shuffle<T>(a: T[]): T[] {
 export function randint(n: number) {
     return Math.floor(Math.random() * n);
 }
+
+export function choice<T>(arr: readonly T[]): T {
+    return arr[randint(arr.length)];
+}
+
+export function range(n: number): number[] {
+    return Array.from({length: n}, (x, i) => i);
+}

src/components/Collage.vue

@@ -1,122 +1,286 @@
 <template>
-<div class="collage">
+  <div class="collage">
     <div class="canvas">
-        <canvas id="canvas" ref="canvas" :width="canvasSize.width" :height="canvasSize.height"></canvas>
+      <canvas
+        id="canvas"
+        ref="canvas"
+        :width="canvasSize.width"
+        :height="canvasSize.height"
+      ></canvas>
       <div class="canvas-size">
         <label>
           Width:
-                <input type="number" step="16" min="128" v-model="canvasSize.width">
+          <input type="number" step="16" min="128" v-model="canvasSize.width" />
         </label>
         <label>
           Height:
-                <input type="number" step="16" min="128" v-model="canvasSize.height">
+          <input
+            type="number"
+            step="16"
+            min="128"
+            v-model="canvasSize.height"
+          />
         </label>
       </div>
     </div>
     <div class="controls">
       <div class="modes">
-            <label v-for="(mode, idx) in modes"
-                   :class="{disabled: images.length < mode.minImages,
+        <ul class="modes-list">
+          <li
+            v-for="(mode, idx) in modes.modes"
+            :class="[
+              'mode',
+              {
+                disabled: images.length < mode.minImages,
+                excluded: excludedModes.includes(idx),
                 selected: idx === currentModeType,
-                            lastActive: idx === lastActiveModeType}">
-                {{mode.name}}
-                <input type="radio" :value="idx" v-model="currentModeType">
+                lastActive: lastActiveModeTypes.includes(idx),
+              },
+            ]"
+            :key="idx"
+          >
+            <label class="handle"
+              >{{ mode.name
+              }}<input type="radio" :value="idx" v-model="currentModeType"
+            /></label>
+            <span
+              class="mode-plus"
+              v-if="
+                ['recursive', 'shuffle'].includes(currentModeType) &&
+                images.length >= minImages
+              "
+            >
+              <span class="separator"></span>
+              <label
+                >{{ excludedModes.includes(idx) ? "o" : "x"
+                }}<input type="checkbox" :value="idx" v-model="excludedModes"
+              /></label>
+            </span>
+          </li>
+        </ul>
+        <hr />
+        <label
+          :class="{
+            disabled: images.length < minImages,
+            selected: 'shuffle' === currentModeType,
+          }"
+        >
+          !SHUFFLE ALL!
+          <input type="radio" value="shuffle" v-model="currentModeType" />
+        </label>
+        <label
+          :class="{
+            disabled: images.length < minImages,
+            selected: 'recursive' === currentModeType,
+          }"
+        >
+          #RECURSIVE#
+          <input type="radio" value="recursive" v-model="currentModeType" />
         </label>
       </div>
-        <button :disabled="images.length < currentMode.minImages" @click="renderCollage">REPAINT</button>
-        <hr>
+      <button :disabled="images.length < minImages" @click="renderCollage">
+        REPAINT
+      </button>
+      <hr />
       <div class="config">
+        <template v-if="currentModeType !== 'recursive'">
           <label class="config-numimages">
             #N of images:
-                <input type="number" :min="currentMode.minImages" :max="images.length"
+            <input
+              type="number"
+              :min="minImages"
+              :max="images.length"
               placeholder="RND"
               :disabled="Object.keys(forceConfig).includes('numImages')"
-                       v-model="forceConfig.numImages || collageConfig.numImages">
+              :value="forceConfig.numImages || collageConfig.numImages"
+              @input="(n) => (collageConfig.numImages = n)"
+            />
           </label>
+        </template>
+        <template v-else>
+          <label>
+            Recursion levels:
+            <input
+              type="number"
+              :min="1"
+              :max="10"
+              v-model="recursiveConfig.level"
+            />
+          </label>
+          <label>
+            <input type="checkbox" v-model="recursiveConfig.repeat" />
+            Repeat images?
+          </label>
+        </template>
+      </div>
     </div>
   </div>
-</div>
 </template>
 
 <script lang="ts">
-import {Component, Prop, Vue, Watch} from "vue-property-decorator";
-import collageModes, {CollageModeType} from "../collages";
-import {CollageConfig, CollageMode} from "@/types";
+import { Component, Prop, Vue, Watch } from "vue-property-decorator";
+import BrowserCollageModes from "../collages";
+import { CollageModeType } from "../common/collages";
+import { CollageConfig, CollageMode, Segment } from "../common/types";
+import { choice, shuffle } from "../common/utils";
 
-type DisplayCollageModeType = CollageModeType | & "shuffle";
+type DisplayCollageModeType = CollageModeType | "shuffle" | "recursive";
 
 @Component
 export default class Collage extends Vue {
-    @Prop({required: true}) private images!: ImageBitmap[];
+  @Prop({ required: true }) private images!: ImageBitmap[];
   private context!: CanvasRenderingContext2D;
   private canvasSize = {
     width: 640,
-        height: 640
+    height: 640,
   };
   private collageConfig: CollageConfig = {
-        numImages: undefined
+    numImages: undefined,
+  };
+  private recursiveConfig = {
+    level: 2,
+    repeat: true,
   };
   private currentModeType: DisplayCollageModeType = "shuffle";
-    private lastActiveModeType: DisplayCollageModeType | null = null;
-    private modes: { [key in DisplayCollageModeType]: CollageMode } = {
-        ...collageModes,
-        "shuffle": {
-            name: "Shuffle all!",
-            minImages: Math.min(...Object.values(collageModes).map(m => m.minImages)),
-            place: (ctx, images, config) => {
-                const permissibleModeKeys = Object.keys(collageModes)
-                  .filter(k => collageModes[k as CollageModeType].minImages <= images.length) as CollageModeType[];
-                const randomModeType = permissibleModeKeys[Math.floor(Math.random() * permissibleModeKeys.length)];
-                const randomMode = collageModes[randomModeType];
-                this.setLastActiveModeType(randomModeType);
-                randomMode.place(ctx, images, config);
-            }
-        }
-    };
+  private lastActiveModeTypes: CollageModeType[] = [];
+  private excludedModes: CollageModeType[] = [];
+  private modes = new BrowserCollageModes();
 
-    // wtf vue?
-    private setLastActiveModeType(lastActiveModeType: any) {
-        this.lastActiveModeType = lastActiveModeType;
+  private get minImages() {
+    if (
+      this.currentModeType === "shuffle" ||
+      this.currentModeType === "recursive"
+    ) {
+      return Math.min(
+        ...Object.values(this.modes.modes).map((mode) => mode.minImages)
+      );
+    } else {
+      return this.modes.modes[this.currentModeType].minImages;
     }
-
-    private get currentMode() {
-        return this.modes[this.currentModeType];
   }
 
   private get lastMode() {
-        return this.lastActiveModeType ? this.modes[this.lastActiveModeType] : undefined;
+    if (this.lastActiveModeTypes.length === 1) {
+      return this.modes.modes[this.lastActiveModeTypes[0]];
+    }
   }
 
   private get forceConfig() {
     return this.lastMode ? this.lastMode.forceConfig || {} : {};
   }
 
-
   private mounted() {
-        const canvas = (this.$refs.canvas as HTMLCanvasElement);
+    const canvas = this.$refs.canvas as HTMLCanvasElement;
     this.context = canvas.getContext("2d") as CanvasRenderingContext2D;
   }
 
   @Watch("images")
-    @Watch("currentMode")
-    @Watch("collageConfig", {deep: true})
+  @Watch("currentModeType")
+  @Watch("collageConfig", { deep: true })
+  @Watch("recursiveConfig", { deep: true })
   private renderCollage() {
-        if (this.images.length >= this.currentMode.minImages) {
-            this.lastActiveModeType = this.currentModeType;
-            this.currentMode.place(this.context, this.images, this.collageConfig);
+    if (this.images.length >= this.minImages) {
+      this.reset();
+
+      const permissibleModeKeys = (
+        Object.keys(this.modes.modes) as CollageModeType[]
+      ).filter(
+        (k) =>
+          !this.excludedModes.includes(k) &&
+          this.modes.modes[k].minImages <= this.images.length
+      );
+
+      if (this.currentModeType !== "recursive") {
+        let mode: CollageMode<any, any>;
+        if (this.currentModeType === "shuffle") {
+          const randomModeType = choice(permissibleModeKeys);
+          this.lastActiveModeTypes = [randomModeType];
+          mode = this.modes.modes[randomModeType];
+        } else {
+          this.lastActiveModeTypes = [this.currentModeType];
+          mode = this.modes.modes[this.currentModeType];
+        }
+        const shuffledImages = shuffle(this.images);
+        const segments = mode.getSegments(
+          this.context,
+          this.collageConfig,
+          shuffledImages
+        );
+        mode.place(this.context, shuffledImages, segments);
+      } else {
+        this.lastActiveModeTypes = [];
+        const shuffledImages = shuffle(this.images);
+        const rootSegment: Segment = {
+          x: 0,
+          y: 0,
+          w: this.context.canvas.width,
+          h: this.context.canvas.height,
+        };
+        const processSegment = async (
+          segment: Segment,
+          level: number
+        ): Promise<ImageBitmap> => {
+          console.debug(segment, level);
+          if (
+            segment === rootSegment ||
+            level <= this.recursiveConfig.level - 1
+          ) {
+            let canvas = document.createElement("canvas");
+            canvas.width = segment.w;
+            canvas.height = segment.h;
+            let modeKey = choice(permissibleModeKeys);
+            console.debug(modeKey);
+            this.lastActiveModeTypes.push(modeKey);
+            let mode = this.modes.modes[modeKey];
+            let ctx = canvas.getContext("2d") as CanvasRenderingContext2D;
+            let segments = mode.getSegments(ctx);
+            console.debug(segments);
+            let bitmaps = await Promise.all(
+              segments.map((segment) => processSegment(segment, level + 1))
+            );
+            mode.place(ctx, bitmaps, segments);
+            return await createImageBitmap(canvas);
+          } else {
+            if (this.recursiveConfig.repeat) {
+              return choice(shuffledImages);
+            } else {
+              if (shuffledImages.length > 0) {
+                return shuffledImages.pop() as ImageBitmap;
+              } else {
+                throw "RAN OUT OF IMAGES";
+              }
+            }
+          }
+        };
+        processSegment(rootSegment, 0)
+          .then((finalCollage) => {
+            console.debug(finalCollage);
+            this.context.drawImage(finalCollage, 0, 0);
+          })
+          .catch((error) => {
+            alert(error);
+          });
+      }
     }
   }
 
-    @Watch("canvasSize", {deep: true})
+  @Watch("canvasSize", { deep: true })
   private onCanvasSizeChange() {
     this.$nextTick(() => {
       this.renderCollage();
     });
   }
+
+  private reset() {
+    this.context.globalCompositeOperation = "source-over";
+    const canvas = this.$refs.canvas as HTMLCanvasElement;
+    this.context.clearRect(0, 0, canvas.width, canvas.height);
+  }
 }
 </script>
 
 <!-- Add "scoped" attribute to limit CSS to this component only -->
+<!--suppress CssUnusedSymbol -->
 <style scoped>
 .collage {
   margin: 2rem;
@@ -149,17 +313,55 @@ export default class Collage extends Vue {
   align-items: center;
 }
 
+.modes-list {
+  list-style: none;
+  padding: 0;
+}
+
+.mode {
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  user-select: none;
+}
+
+.separator {
+  border: 1px solid gray;
+  width: 0;
+  margin: 0 0.5em;
+  align-self: stretch;
+}
+
+.mode .mode-plus,
+.mode .mode-plus label {
+  color: gray;
+  font-size: 14px;
+}
+
+.mode-plus {
+  display: flex;
+  align-items: center;
+}
+
+.controls .modes hr {
+  margin-top: 0.5rem;
+  width: 100%;
+  color: lightgray;
+}
+
 .controls label {
   font-size: 14pt;
   cursor: pointer;
-    margin: .25rem;
+  margin: 0.25rem;
 }
 
 .modes input {
   display: none;
 }
 
-.controls button, .controls hr, .controls .config {
+.controls button,
+.controls hr,
+.controls .config {
   margin-top: 1rem;
 }
 
@@ -180,11 +382,16 @@ export default class Collage extends Vue {
   pointer-events: none;
 }
 
+.excluded .handle {
+  color: gray;
+  text-decoration: line-through;
+}
+
 .selected {
   font-weight: bold;
 }
 
-.lastActive {
+.lastActive .handle {
   text-decoration: underline;
 }
 </style>

src/types.d.ts

@@ -1,10 +0,0 @@
-export interface CollageMode {
-    name: string;
-    minImages: number;
-    place: (ctx: CanvasRenderingContext2D, images: ImageBitmap[], config: CollageConfig) => void;
-    forceConfig?: CollageConfig;
-}
-
-export interface CollageConfig {
-    numImages?: number;
-}

tgbot/Dockerfile

@@ -0,0 +1,22 @@
+FROM python:3-slim
+
+ENV PYTHONFAULTHANDLER=1 \
+  PYTHONUNBUFFERED=1 \
+  PYTHONHASHSEED=random \
+  PIP_NO_CACHE_DIR=off \
+  PIP_DISABLE_PIP_VERSION_CHECK=on \
+  PIP_DEFAULT_TIMEOUT=100
+
+RUN pip install poetry
+
+WORKDIR /app
+COPY tgbot/poetry.lock tgbot/pyproject.toml /app/
+
+RUN poetry config virtualenvs.create false \
+  && poetry install --no-dev --no-interaction --no-ansi
+
+COPY /tgbot/ /app/
+
+COPY kollagen /usr/bin/kollagen
+
+CMD python kollagen-bot/main.py

tgbot/kollagen-bot/__init__.py

@@ -0,0 +1 @@
+__version__ = '0.1.0'

tgbot/kollagen-bot/main.py

@@ -0,0 +1,270 @@
+import logging
+import os
+import subprocess
+from typing import List, Optional
+
+from tempfile import NamedTemporaryFile
+
+from telegram import Update
+from telegram.ext import (
+    Updater,
+    CommandHandler,
+    DictPersistence,
+    CallbackContext,
+)
+from telegram.parsemode import ParseMode
+from parser import SafeArgumentParser, safe_str
+
+
+class KollagenBot:
+    def __init__(
+        self, tg_token: str, kollagen_path: str, base_dir: Optional[str]
+    ) -> None:
+        self.logger = logging.getLogger("kollagen")
+        self.kollagen_path = kollagen_path
+        self.base_dir = os.path.abspath(base_dir) if base_dir else None
+
+        self._init_parser()
+
+        self.updater = Updater(
+            tg_token, persistence=DictPersistence(user_data_json="{}")
+        )
+
+        dispatcher = self.updater.dispatcher
+
+        dispatcher.add_handler(CommandHandler("start", self.tg_start))
+        dispatcher.add_handler(CommandHandler("help", self.tg_help))
+        dispatcher.add_handler(CommandHandler("generate", self.tg_generate))
+        dispatcher.add_handler(CommandHandler("g", self.tg_generate))
+        dispatcher.add_handler(CommandHandler("regenerate", self.tg_regenerate))
+        dispatcher.add_handler(CommandHandler("r", self.tg_regenerate))
+        dispatcher.add_error_handler(self.tg_error)
+
+    def _init_parser(self):
+        parser = SafeArgumentParser(prog="/generate", add_help=False)
+        parser.add_argument(
+            "directories",
+            metavar="path",
+            type=safe_str,
+            nargs="*",
+            default=[self.base_dir] if self.base_dir else [],
+            help="Directories or files to process. By default, the entire base directory is processed.",
+        )
+        parser.add_argument(
+            "-m",
+            dest="mode",
+            metavar="mode",
+            type=safe_str,
+            nargs="?",
+            const=True,
+            help=f"Collage modes to use. By default, one is chosen at random. Multiple modes can be specified, separated by commas. When no value is specified, all modes are listed.",
+        )
+        parser.add_argument(
+            "-n",
+            dest="num_images",
+            metavar="N",
+            type=int,
+            help=f"How many images to use in a single collage. Random (or collage-dependant) by default.",
+        )
+        parser.add_argument(
+            "-w",
+            dest="width",
+            type=int,
+            default=640,
+            help=f"Width of resulting output (in px). 640px by default.",
+        )
+        parser.add_argument(
+            "-h",
+            dest="height",
+            type=int,
+            default=640,
+            help=f"Height of resulting output (in px). 640px by default.",
+        )
+        parser.add_argument(
+            "--rm",
+            dest="recursive_modes",
+            type=safe_str,
+            help=f"Collage modes (comma-separated) to use in a recursive collage. All by default.",
+        )
+        parser.add_argument(
+            "--rl",
+            dest="recursive_level",
+            type=int,
+            default=2,
+            help=f"Level/depth of recursive collage. 2 by default.",
+        )
+        parser.add_argument(
+            "--rr",
+            dest="recursive_repeat",
+            action="store_true",
+            help=f"Allow repeating images in (different levels of) recursive collages. False by default.",
+        )
+        self.parser = parser
+
+    def _get_modes(self):
+        modes = subprocess.run(
+            [self.kollagen_path, "-m"], check=True, capture_output=True
+        )
+        return modes.stdout.decode("utf-8").strip().split(", ")
+
+    def tg_start(self, update: Update, context: CallbackContext):
+        update.message.reply_text("Hi! I make random collages. Check out https://gitlab.com/tmladek/kollagen and /help. Here's one to get you started:")
+        self._process([], update)
+
+    def tg_generate(self, update: Update, context: CallbackContext):
+        cmd_line = update.message.text.split(" ")[1:]
+        success = self._process(cmd_line, update)
+        if success and context.user_data is not None:
+            context.user_data["last_cmd_line"] = cmd_line
+
+    def tg_regenerate(self, update: Update, context: CallbackContext):
+        if context.user_data and context.user_data.get("last_cmd_line"):
+            self._process(context.user_data["last_cmd_line"], update)
+        else:
+            update.message.reply_text("No previous command to regenerate!")
+
+    def _process(self, cmd_line: List[str], update: Update):
+        self.logger.info(
+            f"Generating from {update.effective_user}, with cmd_line: `{cmd_line}`"
+        )
+        args = self.parser.parse_args(cmd_line)
+
+        if args.mode is True:
+            update.message.reply_text(
+                f"Available modes: {', '.join(self._get_modes())}"
+            )
+            return False
+
+        directories = []
+        for dir in args.directories:
+            for possible in [
+                os.path.join(self.base_dir or "./", dir),
+                os.path.join(self.base_dir or "./", dir.upper()),
+            ]:
+                if os.path.exists(possible):
+                    directories.append(possible)
+                    break
+            else:
+                raise FileNotFoundError(f'"{dir}" does not exist.')
+
+        mode = ["-m", args.mode] if args.mode else []
+        num_images = ["-n", str(args.num_images)] if args.num_images else []
+        recursive_level = (
+            ["--rl", str(args.recursive_level)] if args.recursive_level else []
+        )
+        recursive_repeat = ["--rr"] if args.recursive_repeat else []
+        recursive_modes = (
+            ["--rm", str(args.recursive_modes)] if args.recursive_modes else []
+        )
+
+        with NamedTemporaryFile(suffix=".png") as ntf:
+            shell_cmd_line = [
+                self.kollagen_path,
+                *directories,
+                "-w",
+                str(args.width),
+                "-h",
+                str(args.height),
+                *mode,
+                *num_images,
+                *recursive_level,
+                *recursive_repeat,
+                *recursive_modes,
+                "-o",
+                ntf.name,
+            ]
+
+            self.logger.debug(f"Running: " + str(shell_cmd_line))
+            result = subprocess.run(
+                shell_cmd_line,
+                check=True,
+                capture_output=True,
+                timeout=60,
+                env={
+                    'NO_COLOR': "1"
+                }
+            )
+            ntf.seek(0)
+
+            used_line = next(
+                (
+                    line
+                    for line in result.stdout.decode("utf-8").splitlines()
+                    if line.startswith("Used: ")
+                ),
+                "",
+            ).replace(f"{self.base_dir}/" if self.base_dir else "", "")
+
+            caption = ""
+            caption += (
+                f"`{' '.join(['/generate', *cmd_line])}`\n" if len(cmd_line) else ""
+            )
+            caption += used_line.replace("_", "\\_")
+            caption = caption[:200]
+
+            update.message.reply_photo(
+                ntf,
+                caption=caption,
+                parse_mode=ParseMode.MARKDOWN,
+            )
+            return True
+
+    def tg_help(self, update: Update, context: CallbackContext):
+        update.message.reply_text(
+            f"```{self.parser.format_help()}```", parse_mode=ParseMode.MARKDOWN
+        )
+
+    def tg_error(self, update: object, context: CallbackContext) -> None:
+        self.logger.error(
+            msg="Exception while handling an update:", exc_info=context.error
+        )
+
+        if isinstance(update, Update):
+            if isinstance(context.error, subprocess.CalledProcessError):
+                error_display = context.error.stderr.decode('utf-8')
+            else:
+                error_display = str(context.error)
+            error_display = error_display[:2500]
+            update.message.reply_text(
+                f"Something is fucked!\n{error_display}"
+            )
+
+    def start_idle(self):
+        self.updater.start_polling()
+        self.updater.idle()
+
+
+def main() -> None:
+    logging.basicConfig(
+        format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
+        level=getattr(logging, os.getenv("LOG_LEVEL", "info").upper()),
+    )
+
+    tg_token = os.getenv("TG_TOKEN")
+    if not tg_token:
+        logging.error("TG_TOKEN is required.")
+        exit(1)
+
+    if env_kollagen_path := os.getenv("KOLLAGEN_PATH"):
+        if os.path.exists(env_kollagen_path):
+            kollagen_path = env_kollagen_path
+        else:
+            logging.error(f"kollagen not found! {env_kollagen_path} does not exist.")
+            exit(1)
+    else:
+        which = subprocess.run(["which", "kollagen"], capture_output=True)
+        try:
+            which.check_returncode()
+            kollagen_path = which.stdout.decode("utf-8").strip()
+        except subprocess.CalledProcessError:
+            logging.error(
+                "kollagen not found! KOLLAGEN_PATH not specified and `kollagen` isn't in $PATH."
+            )
+            exit(1)
+
+    bot = KollagenBot(tg_token, kollagen_path, os.getenv("BASE_DIR"))
+    bot.start_idle()
+
+
+if __name__ == "__main__":
+    main()

tgbot/kollagen-bot/parser.py

@@ -0,0 +1,16 @@
+import argparse
+import re
+
+
+class ArgumentParserError(RuntimeError):
+    pass
+
+
+class SafeArgumentParser(argparse.ArgumentParser):
+    def error(self, message):
+        raise ArgumentParserError(message)
+
+def safe_str(val: str):
+    if re.findall(r'[^\w,]', val):
+        raise RuntimeError("No special characters in arguments allowed!")
+    return val

tgbot/poetry.lock

@@ -0,0 +1,393 @@
+[[package]]
+name = "apscheduler"
+version = "3.6.3"
+description = "In-process task scheduler with Cron-like capabilities"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+pytz = "*"
+six = ">=1.4.0"
+tzlocal = ">=1.2"
+
+[package.extras]
+asyncio = ["trollius"]
+doc = ["sphinx", "sphinx-rtd-theme"]
+gevent = ["gevent"]
+mongodb = ["pymongo (>=2.8)"]
+redis = ["redis (>=3.0)"]
+rethinkdb = ["rethinkdb (>=2.4.0)"]
+sqlalchemy = ["sqlalchemy (>=0.8)"]
+testing = ["pytest", "pytest-cov", "pytest-tornado5", "mock", "pytest-asyncio (<0.6)", "pytest-asyncio"]
+tornado = ["tornado (>=4.3)"]
+twisted = ["twisted"]
+zookeeper = ["kazoo"]
+
+[[package]]
+name = "backports.zoneinfo"
+version = "0.2.1"
+description = "Backport of the standard library zoneinfo module"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.extras]
+tzdata = ["tzdata"]
+
+[[package]]
+name = "black"
+version = "21.9b0"
+description = "The uncompromising code formatter."
+category = "dev"
+optional = false
+python-versions = ">=3.6.2"
+
+[package.dependencies]
+click = ">=7.1.2"
+mypy-extensions = ">=0.4.3"
+pathspec = ">=0.9.0,<1"
+platformdirs = ">=2"
+regex = ">=2020.1.8"
+tomli = ">=0.2.6,<2.0.0"
+typing-extensions = [
+    {version = ">=3.10.0.0", markers = "python_version < \"3.10\""},
+    {version = "!=3.10.0.1", markers = "python_version >= \"3.10\""},
+]
+
+[package.extras]
+colorama = ["colorama (>=0.4.3)"]
+d = ["aiohttp (>=3.6.0)", "aiohttp-cors (>=0.4.0)"]
+jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
+python2 = ["typed-ast (>=1.4.2)"]
+uvloop = ["uvloop (>=0.15.2)"]
+
+[[package]]
+name = "cachetools"
+version = "4.2.2"
+description = "Extensible memoizing collections and decorators"
+category = "main"
+optional = false
+python-versions = "~=3.5"
+
+[[package]]
+name = "certifi"
+version = "2021.5.30"
+description = "Python package for providing Mozilla's CA Bundle."
+category = "main"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "click"
+version = "8.0.1"
+description = "Composable command line interface toolkit"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
+[[package]]
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+version = "0.4.4"
+description = "Cross-platform colored terminal text."
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
+[[package]]
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+version = "0.4.3"
+description = "Experimental type system extensions for programs checked with the mypy typechecker."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
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+version = "0.9.0"
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+category = "dev"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
+
+[[package]]
+name = "platformdirs"
+version = "2.3.0"
+description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.extras]
+docs = ["Sphinx (>=4)", "furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx-autodoc-typehints (>=1.12)"]
+test = ["appdirs (==1.4.4)", "pytest (>=6)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)"]
+
+[[package]]
+name = "python-telegram-bot"
+version = "13.7"
+description = "We have made you a wrapper you can't refuse"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
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+
+[package.extras]
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+socks = ["pysocks"]
+
+[[package]]
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+version = "2021.1"
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+category = "main"
+optional = false
+python-versions = "*"
+
+[[package]]
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+version = "2021.8.28"
+description = "Alternative regular expression module, to replace re."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
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+description = "Python 2 and 3 compatibility utilities"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+
+[[package]]
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+version = "1.2.1"
+description = "A lil' TOML parser"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
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+category = "main"
+optional = false
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+
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+category = "dev"
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+
+[[package]]
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+
+[[package]]
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+
+[package.dependencies]
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+
+[package.extras]
+test = ["pytest-mock (>=3.3)", "pytest (>=4.3)"]
+
+[metadata]
+lock-version = "1.1"
+python-versions = "^3.8"
+content-hash = "a1390250d2dc7c6ca705c53cebcec951a6dd79717bb0f902b0177b307fac8bc3"
+
+[metadata.files]
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+]
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+]
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+tzdata = [
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+]

tgbot/pyproject.toml

@@ -0,0 +1,16 @@
+[tool.poetry]
+name = "kollagen-bot"
+version = "0.1.0"
+description = ""
+authors = ["Tomáš Mládek <t@mldk.cz>"]
+
+[tool.poetry.dependencies]
+python = "^3.8"
+python-telegram-bot = "^13.7"
+
+[tool.poetry.dev-dependencies]
+black = {version = "^21.9b0", allow-prereleases = true}
+
+[build-system]
+requires = ["poetry-core>=1.0.0"]
+build-backend = "poetry.core.masonry.api"