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FriendCloud Plugin
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2 changed files with 304 additions and 1 deletions
302
src/equicordplugins/friendCloud/index.ts
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302
src/equicordplugins/friendCloud/index.ts
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/*
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* Vencord, a modification for Discord's desktop app
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* Copyright (c) 2025 Vendicated and contributors
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*
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program. If not, see <https://www.gnu.org/licenses/>.
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*/
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import { ApplicationCommandInputType, ApplicationCommandOptionType, findOption, sendBotMessage } from "@api/Commands";
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import { EquicordDevs } from "@utils/constants";
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import { Logger } from "@utils/Logger";
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import definePlugin from "@utils/types";
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import { findStore } from "@webpack";
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import { DraftType, UploadHandler, UserStore } from "@webpack/common";
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import { User } from "discord-types/general";
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const logger = new Logger("FriendCloud");
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interface AffinitiesV2 {
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otherUserId: User["id"];
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userSegment: "NON_MAU" | "NON_HFU_MAU" | "HFU_MAU";
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otherUserSegment: "NON_MAU" | "NON_HFU_MAU" | "HFU_MAU";
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isFriend: boolean;
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dmProbability: number;
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dmRank: number;
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vcProbability: number;
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vcRank: number;
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serverMessageProbability: number;
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serverMessageRank: number;
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communicationProbability: number;
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communicationRank: number;
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}
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interface UserPosition {
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member: User;
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affinity: number;
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x: number;
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y: number;
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size: number;
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}
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export default definePlugin({
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name: "FriendCloud",
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description: "Adds a /friendcloud command to visualize the users you most interact with",
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authors: [EquicordDevs.Fafa],
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commands: [
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{
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inputType: ApplicationCommandInputType.BUILT_IN,
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name: "friendcloud",
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description: "Display user you most interact with in a cloud",
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options: [
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{
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name: "count",
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description: "Number of users to display",
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type: ApplicationCommandOptionType.NUMBER,
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required: false
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},
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{
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name: "algorithm",
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description: "Use the old algorithm (v1) to calculate affinity",
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type: ApplicationCommandOptionType.BOOLEAN,
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required: false
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}
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],
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execute: async (opts, cmdCtx) => {
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const count = findOption(opts, "count", 25);
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const useV1 = findOption(opts, "algorithm", false);
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if (!count) return sendBotMessage(cmdCtx.channel.id, { content: "The count must be 1 or higher!" });
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try {
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const affinities: AffinitiesV2[] = findStore("UserAffinitiesV2Store").getUserAffinities();
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if (!affinities?.length) {
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return sendBotMessage(cmdCtx.channel.id, {
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content: "No affinities found. Check your [privacy settings](<https://support.discord.com/hc/en-us/articles/21864805694999-Data-Used-to-Improve-Discord>)."
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});
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}
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const users = affinities
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.map(e => ({
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member: UserStore.getUser(e.otherUserId),
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affinity: calculateAffinityScore(e as AffinitiesV2)
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}))
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.filter(x => x.member?.id)
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.sort((a, b) => b.affinity - a.affinity)
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.slice(0, count);
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if (!users.length) {
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return sendBotMessage(cmdCtx.channel.id, {
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content: "No valid users found in affinities. Check your [privacy settings](<https://support.discord.com/hc/en-us/articles/21864805694999-Data-Used-to-Improve-Discord>)."
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});
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}
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const minAffinity = Math.min(...users.map(u => u.affinity));
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const maxAffinity = Math.max(...users.map(u => u.affinity));
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const minSize = 120;
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const maxSize = 240;
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const getSize = (affinity: number): number => {
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if (maxAffinity === minAffinity) return (minSize + maxSize) / 2;
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return minSize + ((affinity - minAffinity) / (maxAffinity - minAffinity)) * (maxSize - minSize);
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};
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const avgSize = (minSize + maxSize) / 2;
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const { width: canvasWidth, height: canvasHeight } = calculateCanvasSize(users.length, avgSize);
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const canvas = document.createElement("canvas");
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canvas.width = canvasWidth;
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canvas.height = canvasHeight;
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const ctx = canvas.getContext("2d")!;
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const positions: Array<{ x: number, y: number, size: number; }> = [];
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const userPositions = users.map(user => {
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const size = getSize(user.affinity);
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const pos = generatePoissonDiskPosition(positions, canvasWidth, canvasHeight, size);
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positions.push({ x: pos.x, y: pos.y, size });
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return { ...user, x: pos.x, y: pos.y, size };
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});
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let loadedImages = 0;
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const totalImages = userPositions.length;
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const drawImage = async (user: UserPosition) => {
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try {
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const avatarUrl = user.member?.avatar
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? `https://cdn.discordapp.com/avatars/${user.member.id}/${user.member?.avatar}.webp?size=256`
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: `https://cdn.discordapp.com/embed/avatars/${user.member.id as any as number % 5}.png`;
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const img = await loadImage(avatarUrl);
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const centerX = user.x + user.size / 2;
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const centerY = user.y + user.size / 2;
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ctx.save();
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ctx.beginPath();
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ctx.arc(centerX, centerY, user.size / 2, 0, Math.PI * 2);
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ctx.clip();
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ctx.drawImage(img, user.x, user.y, user.size, user.size);
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ctx.restore();
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ctx.strokeStyle = "#808080";
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ctx.lineWidth = 3;
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ctx.beginPath();
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ctx.arc(centerX, centerY, user.size / 2 + 1, 0, Math.PI * 2);
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ctx.stroke();
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} catch {
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// we ignore
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} finally {
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loadedImages++;
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if (loadedImages === totalImages) {
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canvas.toBlob(blob => {
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if (!blob) {
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sendBotMessage(cmdCtx.channel.id, { content: "Couldn't generate the image :c" });
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return;
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}
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const file = new File([blob], "affinities-cloud.png", { type: "image/png" });
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UploadHandler.promptToUpload([file], cmdCtx.channel, DraftType.ChannelMessage);
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}, "image/png");
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}
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}
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};
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userPositions.forEach(drawImage);
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} catch (e: unknown) {
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if (e instanceof Error)
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sendBotMessage(cmdCtx.channel.id, { content: e.message });
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else logger.error(e);
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}
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},
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},
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]
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});
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function calculateAffinityScore(affinity: AffinitiesV2): number {
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const weights = {
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friend: 0.15,
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dm: 0.30,
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vc: 0.25,
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serverMsg: 0.20,
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communication: 0.10
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};
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let score = 0;
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if (affinity.isFriend) score += weights.friend * 100;
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score += affinity.dmProbability * weights.dm * 100;
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score += affinity.vcProbability * weights.vc * 100;
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score += affinity.serverMessageProbability * weights.serverMsg * 100;
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score += affinity.communicationProbability * weights.communication * 100;
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return Math.round(Math.min(100, Math.max(0, score)) * 100) / 100;
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}
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// stolen from petpet thanks vee
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function loadImage(source: File | string): Promise<HTMLImageElement> {
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const isFile = source instanceof File;
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const url = isFile ? URL.createObjectURL(source) : source;
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return new Promise((resolve, reject) => {
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const img = new Image();
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img.onload = () => {
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if (isFile) URL.revokeObjectURL(url);
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resolve(img);
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};
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img.onerror = (event, _source, _lineno, _colno, err) => reject(err || event);
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img.crossOrigin = "anonymous";
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img.src = url;
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});
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}
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function generatePoissonDiskPosition(
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existingPositions: Array<{ x: number, y: number, size: number; }>,
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canvasWidth: number,
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canvasHeight: number,
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size: number
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): { x: number, y: number; } {
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const edgePadding = 10;
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const minDist = size * 1.5;
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const textSpace = 60;
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const k = 30;
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function isValid(x: number, y: number) {
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if (
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x < edgePadding ||
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x + size > canvasWidth - edgePadding ||
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y < edgePadding ||
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y + size > canvasHeight - textSpace - edgePadding
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) return false;
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return !existingPositions.some(pos => {
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const dx = pos.x - x;
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const dy = pos.y - y;
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const dist = Math.hypot(dx, dy);
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const minAllowed = (pos.size + size) / 2 + (minDist - size);
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return dist < minAllowed;
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});
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}
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if (existingPositions.length === 0) {
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return {
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x: canvasWidth / 2 - size / 2,
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y: canvasHeight / 2 - size / 2
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};
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}
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for (let tries = 0; tries < 100; tries++) {
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const base = existingPositions[Math.floor(Math.random() * existingPositions.length)];
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for (let i = 0; i < k; i++) {
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const angle = Math.random() * Math.PI * 2;
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const radius = minDist + Math.random() * minDist;
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const x = base.x + Math.cos(angle) * radius;
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const y = base.y + Math.sin(angle) * radius;
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if (isValid(x, y)) {
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return {
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x: Math.max(edgePadding, Math.min(x, canvasWidth - size - edgePadding)),
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y: Math.max(edgePadding, Math.min(y, canvasHeight - size - textSpace - edgePadding))
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};
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}
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}
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}
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for (let tries = 0; tries < 100; tries++) {
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const x = Math.random() * (canvasWidth - size - edgePadding * 2) + edgePadding;
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const y = Math.random() * (canvasHeight - size - textSpace - edgePadding * 2) + edgePadding;
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if (isValid(x, y)) {
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return {
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x: Math.max(edgePadding, Math.min(x, canvasWidth - size - edgePadding)),
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y: Math.max(edgePadding, Math.min(y, canvasHeight - size - textSpace - edgePadding))
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};
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}
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}
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return {
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x: edgePadding,
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y: edgePadding
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};
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}
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function calculateCanvasSize(userCount: number, avatarSize: number): { width: number, height: number; } {
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const padding = 50;
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const textSpace = 60;
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const itemWidth = avatarSize + padding;
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const itemHeight = avatarSize + textSpace + padding;
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const aspectRatio = 16 / 9;
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const cols = Math.ceil(Math.sqrt(userCount * aspectRatio));
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const rows = Math.ceil(userCount / cols);
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return {
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width: Math.max(1000, cols * itemWidth + padding),
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height: Math.max(700, rows * itemHeight + padding)
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};
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}
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