trease-tree-compiler/src/entities/maple.ts at main · Trease-Focus/trease-tree-compiler

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import { createCanvas, CanvasRenderingContext2D, loadImage, Image } from 'canvas';

import { spawn, type ChildProcessWithoutNullStreams } from 'child_process';

import * as fs from 'fs';

import * as path from 'path';

import { SeededRandom } from '../core/seeded-random';

import { DEFAULT_CONFIG, type Config } from '../types/config';

import type { Generate } from '../models/generate';

import type { GeneratorResult } from '../types/generator-result';

import type { Context } from 'baojs';

import { getFFmpegArgs } from '../core/ffmpeg-args';

export class Maple implements Generate {

getInfo(config?: Config): Promise<GeneratorResult> {

if (!config) throw new Error('Config is required.');

// Dummy run for bounds calculation

const rand = new SeededRandom(config.seed);

const startPos = new Vector2(0, 0);

const initialLength = 180;

const maxDepth = 8;

const fullTree = generateWillowStructure(rand, startPos, initialLength, -90, maxDepth, maxDepth, 0);

const bounds = calculateBounds(fullTree);

const scale = Math.min(

(config.width - config.padding * 2) / (bounds.maxX - bounds.minX),

(config.height - config.padding * 2) / (bounds.maxY - bounds.minY)

);

const treeCenterX = bounds.minX + (bounds.maxX - bounds.minX) / 2;

const offsetX = config.width / 2 - treeCenterX * scale;

const offsetY = (config.height - config.padding) - bounds.maxY * scale;

return Promise.resolve({ trunkStartPosition: { x: offsetX, y: offsetY } });

}

async generate(con: Context, onStream?:(process:ChildProcessWithoutNullStreams,videoStream:ChildProcessWithoutNullStreams['stdout']) => void, CONFIG: Config = DEFAULT_CONFIG): Promise<GeneratorResult> {

console.log("Generating Weeping Willow with Assets");

let foliageImg: Image;

try {

// Using the exact path snippet provided

foliageImg = await loadImage("./assets/maple_leaf.png");

console.log("Asset loaded successfully.");

} catch (e) {

console.error(`FAILED to load foliage image. Ensure './assets/weeping_willow.png' exists.`);

throw e;

}

const canvas = createCanvas(CONFIG.width, CONFIG.height);

const ctx = canvas.getContext('2d');

const rand = new SeededRandom(CONFIG.seed);

const startPos = new Vector2(0, 0);

const initialLength = 160;

const maxDepth = 8;

const fullTree = generateWillowStructure(

rand,

startPos,

initialLength,

-90, // Growing Up

maxDepth,

);

const bounds = calculateBounds(fullTree);

const treeWidth = bounds.maxX - bounds.minX;

const treeHeight = bounds.maxY - bounds.minY;

const availW = CONFIG.width - (CONFIG.padding * 2);

const availH = CONFIG.height - (CONFIG.padding * 2);

const scaleX = availW / treeWidth;

const scaleY = availH / treeHeight;

const finalScale = Math.min(scaleX, scaleY);

const treeCenterX = bounds.minX + (treeWidth / 2);

const offsetX = CONFIG.width / 2 - (treeCenterX * finalScale);

const offsetY = (CONFIG.height - CONFIG.padding) - (bounds.maxY * finalScale);

console.log(` Tree Scale: ${finalScale.toFixed(3)}`);

if (CONFIG.photoOnly) {

const maxDistance = getMaxDist(fullTree);

const currentGrowthDist = maxDistance + 500; // Ensure everything is grown

ctx.clearRect(0, 0, CONFIG.width, CONFIG.height);

this.renderFrame(ctx, fullTree, foliageImg, currentGrowthDist, finalScale, offsetX, offsetY);

const finalBuffer = canvas.toBuffer('image/png');

if (CONFIG.save_as_file) {

fs.writeFileSync(CONFIG.imageFilename, finalBuffer);

}

return {

imageBuffer: finalBuffer,

imagePath: CONFIG.save_as_file ? CONFIG.imageFilename : undefined,

trunkStartPosition: { x: offsetX, y: offsetY }

};

}

// Generate video

const ffmpegArgs = getFFmpegArgs(CONFIG);

console.log(`🎥 Spawning FFmpeg process: ${CONFIG.filename}`);

const ffmpeg = spawn('ffmpeg', ffmpegArgs);

if (onStream) {

onStream(ffmpeg, ffmpeg.stdout);

}

const totalFrames = CONFIG.durationSeconds * CONFIG.fps;

const maxDistance = getMaxDist(fullTree);

console.log(` Max Growth Distance: ${maxDistance.toFixed(0)}`);

console.log(` Total Frames: ${totalFrames}`);

ffmpeg.stderr.on('data', (data) => {

// console.error(`FFmpeg stderr: ${data}`);

});

for (let frame = 0; frame < totalFrames; frame++) {

if (frame % 30 === 0) console.log(`Frame ${frame}/${totalFrames}`);

const t = frame / (totalFrames - 1);

const currentGrowthDist = t * (maxDistance + 500);

ctx.clearRect(0, 0, CONFIG.width, CONFIG.height);

this.renderFrame(ctx, fullTree, foliageImg, currentGrowthDist, finalScale, offsetX, offsetY);

const buffer = canvas.toBuffer('image/png');

const ok = ffmpeg.stdin.write(buffer);

if (!ok) await new Promise(resolve => ffmpeg.stdin.once('drain', resolve));

}

ffmpeg.stdin.end();

// Wait for FFmpeg to finish encoding

await new Promise<void>((resolve, reject) => {

ffmpeg.on('close', (code) => {

if (code === 0) resolve();

else reject(new Error(`FFmpeg exited with code ${code}`));

});

ffmpeg.on('error', reject);

});

return {

videoPath: CONFIG.filename,

trunkStartPosition: { x: offsetX, y: offsetY }

};

}

private renderFrame(

ctx: CanvasRenderingContext2D,

tree: Branch,

foliageImg: Image,

growthDist: number,

scale: number,

offX: number,

offY: number

) {

const branches: SimpleBranch[] = [];

let entities: ImageEntity[] = [];

flattenTreeOrganic(tree, branches, entities, growthDist, scale, offX, offY);

// Sort images so lower ones draw on top (painter's algorithm approximation)

entities.sort((a, b) => a.center.y - b.center.y);

ctx.lineCap = 'round';

ctx.lineJoin = 'round';

ctx.strokeStyle = '#2d241b';

for (const b of branches) {

ctx.beginPath();

ctx.lineWidth = b.strokeWidth;

ctx.moveTo(b.start.x, b.start.y);

ctx.quadraticCurveTo(b.control.x, b.control.y, b.end.x, b.end.y);

ctx.stroke();

}

for (const e of entities) {

const prevAlpha = ctx.globalAlpha;

ctx.globalAlpha = (e.opacity ?? 1);

ctx.save();

ctx.translate(e.center.x, e.center.y);

ctx.rotate(e.rotation);

const appearanceScale = 0.2;

const finalImgScale = e.scale * appearanceScale;

ctx.scale(finalImgScale, finalImgScale);

const imgW = foliageImg.width;

const imgH = foliageImg.height;

// Attachment point is slightly above bottom center

const stemOffset = imgH * 0.15;

ctx.drawImage(foliageImg, -imgW / 2, -imgH + stemOffset, imgW, imgH);

ctx.restore();

ctx.globalAlpha = prevAlpha;

}

class Vector2 { constructor(public x: number, public y: number) { } }

interface ImageEntity {

center: Vector2;

rotation: number;

scale: number;

distFromRoot: number;

opacity?: number;

}

class Branch {

constructor(

public start: Vector2, public end: Vector2,

public strokeWidth: number, public control: Vector2,

public length: number, public distFromRoot: number,

public children: Branch[] = [],

public entities: ImageEntity[] = []

) { }

}

class SimpleBranch {

constructor(public start: Vector2, public end: Vector2, public strokeWidth: number, public control: Vector2) { }

}

interface Bounds { minX: number; maxX: number; minY: number; maxY: number; }

const coerceIn = (val: number, min: number, max: number) => Math.max(min, Math.min(val, max));

function smoothStep(t: number): number { return t * t * (3 - 2 * t); }

function generateWillowStructure(

rand: SeededRandom,

start: Vector2, length: number, angle: number,

depth: number, maxDepth: number, currentDist: number,

): Branch {

// Calculate End Point

const angleOffset = rand.nextFloat(-20, 20);

const radAngle = (angle + angleOffset) * (Math.PI / 180);

const endX = start.x + length * Math.cos(radAngle);

const endY = start.y + length * Math.sin(radAngle);

const end = new Vector2(endX, endY);

// Calculate Control Point

const dx = end.x - start.x;

const dy = end.y - start.y;

const mid = new Vector2(start.x + dx * 0.5, start.y + dy * 0.5);

const perpLen = rand.nextFloat(-0.2, 0.2) * length;

const branchLength = Math.sqrt(dx * dx + dy * dy);

let perpX = 0, perpY = 0;

if (branchLength !== 0) {

perpX = (-dy / branchLength) * perpLen;

perpY = (dx / branchLength) * perpLen;

}

const control = new Vector2(mid.x + perpX, mid.y + perpY);

const strokeWidth = Math.max(1, Math.pow(depth, 1.4) * 2.5);

const children: Branch[] = [];

const entities: ImageEntity[] = [];

if (depth > 0) {

const branchCount = rand.nextInt(2, 3);

for (let i = 0; i < branchCount; i++) {

const angleVariation = rand.nextFloat(-45, 45);

const newAngle = angle + angleVariation;

const newLength = length * rand.nextFloat(0.7, 0.9);

children.push(generateWillowStructure(

rand, end, newLength, newAngle,

depth - 1, maxDepth, currentDist + length,

));

}

if (depth < 3 && rand.nextFloat(0, 1) < 0.2) {

const attachX = start.x;

const attachY = start.y;

const placementDelay = currentDist;

entities.push({

center: new Vector2(attachX, attachY),

rotation: radAngle + Math.PI / 2 + rand.nextFloat(-0.2, 0.2), // Align with branch

scale: rand.nextFloat(0.9, 1.2), // "Slightly large" -> Scale multiplier

distFromRoot: placementDelay,

});

}

return new Branch(start, end, strokeWidth, control, length, currentDist, children, entities);

}

function calculateBounds(b: Branch, currentBounds: Bounds = { minX: Infinity, maxX: -Infinity, minY: Infinity, maxY: -Infinity }): Bounds {

currentBounds.minX = Math.min(currentBounds.minX, b.start.x, b.end.x, b.control.x);

currentBounds.maxX = Math.max(currentBounds.maxX, b.start.x, b.end.x, b.control.x);

currentBounds.minY = Math.min(currentBounds.minY, b.start.y, b.end.y, b.control.y);

currentBounds.maxY = Math.max(currentBounds.maxY, b.start.y, b.end.y, b.control.y);

// Estimate image bounds (assuming roughly 100px size for calculation safety)

const safetyMargin = 60;

b.entities.forEach(e => {

currentBounds.minX = Math.min(currentBounds.minX, e.center.x - safetyMargin);

currentBounds.maxX = Math.max(currentBounds.maxX, e.center.x + safetyMargin);

currentBounds.minY = Math.min(currentBounds.minY, e.center.y - safetyMargin);

currentBounds.maxY = Math.max(currentBounds.maxY, e.center.y + safetyMargin);

});

b.children.forEach(child => calculateBounds(child, currentBounds));

return currentBounds;

}

function getMaxDist(b: Branch): number {

let max = b.distFromRoot + b.length;

b.entities.forEach(e => max = Math.max(max, e.distFromRoot));

for (const child of b.children) { max = Math.max(max, getMaxDist(child)); }

return max;

}

function flattenTreeOrganic(

b: Branch, branchList: SimpleBranch[], entityList: ImageEntity[],

progressDistance: number, scale: number, offsetX: number, offsetY: number

) {

const tStart = new Vector2(b.start.x * scale + offsetX, b.start.y * scale + offsetY);

const tEnd = new Vector2(b.end.x * scale + offsetX, b.end.y * scale + offsetY);

const tControl = new Vector2(b.control.x * scale + offsetX, b.control.y * scale + offsetY);

const startDist = b.distFromRoot;

if (progressDistance > startDist) {

let localT = (progressDistance - startDist) / b.length;

localT = coerceIn(localT, 0, 1);

if (localT > 0) {

const omt = 1 - localT;

const curControlX = omt * tStart.x + localT * tControl.x;

const curControlY = omt * tStart.y + localT * tControl.y;

const q1X = omt * tControl.x + localT * tEnd.x;

const q1Y = omt * tControl.y + localT * tEnd.y;

const curEndX = omt * curControlX + localT * q1X;

const curEndY = omt * curControlY + localT * q1Y;

branchList.push(new SimpleBranch(

tStart, new Vector2(curEndX, curEndY),

b.strokeWidth * scale * localT, new Vector2(curControlX, curControlY)

));

b.entities.forEach(entity => {

if (progressDistance > entity.distFromRoot) {

const age = progressDistance - entity.distFromRoot;

// Grow slowly logic

const growDuration = 150;

let growthP = age / growDuration;

growthP = coerceIn(growthP, 0, 1);

const sizeScale = smoothStep(growthP);

if (sizeScale > 0.01) {

entityList.push({

...entity,

center: new Vector2(entity.center.x * scale + offsetX, entity.center.y * scale + offsetY),

scale: entity.scale * scale * sizeScale,

opacity: 1.0

});

}

});

}

b.children.forEach(child => flattenTreeOrganic(child, branchList, entityList, progressDistance, scale, offsetX, offsetY));

}

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