Upload 11 files
Browse files- .env.example +11 -0
- .gitignore +3 -7
- Dockerfile +13 -19
- bot.js +295 -244
- ocr.js +251 -90
- package-lock.json +803 -91
- package.json +8 -7
- solver.js +188 -105
.env.example
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@@ -0,0 +1,11 @@
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# ββ Required ββββββββββββββββββββββββββββββββββββββββββββββββββ
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# Get your BOT_TOKEN from @BotFather on Telegram
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BOT_TOKEN=your_bot_token_here
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# Get API_ID and API_HASH from https://my.telegram.org/apps
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API_ID=12345678
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API_HASH=your_api_hash_here
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# ββ Optional βββββββββββββββββββββββββββββββββββββββββββββββββββ
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# Dashboard port (default 7860 for Hugging Face Spaces)
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PORT=7860
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.gitignore
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node_modules/
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.env
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*.jpg
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test_ocr.js
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test_ocr.py
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test_symbols.js
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eng.traineddata
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node_modules/
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.env
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*.jpg
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*.jpeg
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*.png
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*.log
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Dockerfile
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FROM node:
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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python3 \
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python3-pip \
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python3-venv \
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tesseract-ocr \
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libtesseract-dev \
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libgl1-mesa-glx \
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&& rm -rf /var/lib/apt/lists/*
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# Set up
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WORKDIR /home/node/app
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RUN chown -R node:node /home/node/app
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# Switch to non-root user
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USER node
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ENV HOME=/home/node \
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#
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# For simplicity in this container, we'll install python libs in the node home if needed
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# but let's stick to the previous venv logic if possible, adjusted for permissions
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# Actually, let's keep it simple: install node deps first
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COPY --chown=node:node package*.json ./
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RUN npm install
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# Copy
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COPY --chown=node:node . .
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# Environment variables
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ENV PORT=7860
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EXPOSE 7860
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# Start the application
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CMD ["node", "bot.js"]
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FROM node:20-slim
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# Install system dependencies for Tesseract OCR and Sharp
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RUN apt-get update && apt-get install -y --no-install-recommends \
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tesseract-ocr \
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tesseract-ocr-eng \
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libtesseract-dev \
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libgl1-mesa-glx \
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libvips42 \
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python3 \
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python3-pip \
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ca-certificates \
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&& rm -rf /var/lib/apt/lists/*
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# Set up app directory with correct ownership
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WORKDIR /home/node/app
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RUN chown -R node:node /home/node/app
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USER node
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ENV HOME=/home/node \
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PORT=7860
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# Install Node dependencies first (layer caching)
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COPY --chown=node:node package*.json ./
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RUN npm install --omit=dev
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# Copy source files
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COPY --chown=node:node . .
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EXPOSE 7860
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CMD ["node", "bot.js"]
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bot.js
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const express = require('express');
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const
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const
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const { extractGrid } = require('./ocr');
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const { solve }
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require('dotenv').config();
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//
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const
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startTime: Date.now(),
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botUsername: 'Loading...'
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};
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//
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const dictionaryPath = path.join(__dirname, 'node_modules/check-word/words/en.txt');
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const dictionary = new Set();
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try {
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} catch (err) {
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}
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function isWord(w) {
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}
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const BOT_TOKEN = process.env.BOT_TOKEN;
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if (!BOT_TOKEN) {
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console.error('BOT_TOKEN is required in process.env.BOT_TOKEN');
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}
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//
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HTTPS_PROXY: process.env.HTTPS_PROXY,
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HTTP_PROXY: process.env.HTTP_PROXY,
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npm_config_proxy: process.env.npm_config_proxy
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});
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try {
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console.log('Current Outbound IP:', ipRes.data.ip);
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} catch (e) {
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}
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if (proxyUrl) {
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console.log(`Using Proxy: ${proxyUrl}`);
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config.httpsAgent = new HttpsProxyAgent(proxyUrl);
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}
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await new Promise(resolve => setTimeout(resolve, delay));
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}
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}
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// Retry-based download for flaky networks
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timeout: 20000
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if (upperText.includes('HARD MODE CHALLENGE')) {
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gridSize = 10;
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gridSize = 8;
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}
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let foundAny = false;
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for (const p in results) {
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foundAny = true;
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const targetStart = p[0].toUpperCase();
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if (Array.isArray(results[p])) {
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const wordMatches = results[p]
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.map(m => {
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const match = m.match.toUpperCase();
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// 1. Perfect Match?
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if (isWord(match) && match[0] === targetStart) return match;
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// 2. OCR Error on first letter? (Try forcing target start)
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const forced = targetStart + match.slice(1);
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if (isWord(forced)) return forced;
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// Log candidates that are NOT words for debugging
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if (match[0] === targetStart) {
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console.log(`[Pattern Debug] Rejected non-word candidate for ${p}: ${match}`);
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}
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return null;
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})
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.filter(w => w !== null)
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// Remove duplicates
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.filter((value, index, self) => self.indexOf(value) === index);
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if (wordMatches.length > 0) {
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responseText += `β
${p}: ${wordMatches.map(w => `<code>${w}</code>`).join(', ')}\n`;
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stats.wordsFound += wordMatches.length;
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}
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await deleteFileWithRetry(imagePath);
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}
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return matches;
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}
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stats.botUsername = me.username;
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console.log(`Bot is running as @${me.username}`);
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}).catch(err => {
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console.error('Failed to get bot info:', err.message);
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});
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// Retry-based launch to handle transient network issues on Hugging Face
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const launchBot = async (retries = 5) => {
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const options = {};
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const proxyUrl = process.env.HTTPS_PROXY || process.env.HTTP_PROXY;
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if (proxyUrl) {
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options.telegram = {
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agent: new HttpsProxyAgent(proxyUrl)
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};
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console.log('Telegraf will use proxy:', proxyUrl);
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}
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await bot.launch(options);
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console.log('Bot launched and polling.');
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return;
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} catch (err) {
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console.error(`Bot launch attempt ${i + 1} failed:`, err.message);
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if (i < retries - 1) {
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const delay = Math.pow(2, i) * 1000;
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console.log(`Retrying in ${delay}ms...`);
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await new Promise(resolve => setTimeout(resolve, delay));
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} else {
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console.error('Max retries reached. Bot failed to launch.');
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}
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};
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}
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// Express
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const app
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const
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app.use(express.static(path.join(__dirname, 'public')));
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app.get('/api/stats', (
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});
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app.listen(
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});
|
| 293 |
|
| 294 |
-
//
|
| 295 |
-
|
| 296 |
-
|
| 297 |
-
|
| 298 |
-
});
|
| 299 |
-
process.once('SIGTERM', () => {
|
| 300 |
-
bot.stop('SIGTERM');
|
| 301 |
-
process.exit(0);
|
| 302 |
});
|
|
|
|
| 1 |
+
/**
|
| 2 |
+
* bot.js β Word Grid Solver Bot (GramJS / pure MTProto)
|
| 3 |
+
*
|
| 4 |
+
* Uses the `telegram` npm package (GramJS) with a BOT_TOKEN for pure MTProto,
|
| 5 |
+
* no webhooks, no HTTP polling through Bot API JSON layer.
|
| 6 |
+
*
|
| 7 |
+
* Required env vars:
|
| 8 |
+
* BOT_TOKEN β Telegram bot token (from @BotFather)
|
| 9 |
+
* API_ID β Telegram API ID (from my.telegram.org)
|
| 10 |
+
* API_HASH β Telegram API hash (from my.telegram.org)
|
| 11 |
+
*
|
| 12 |
+
* Optional:
|
| 13 |
+
* PORT β HTTP dashboard port (default 7860)
|
| 14 |
+
*/
|
| 15 |
+
|
| 16 |
+
'use strict';
|
| 17 |
+
|
| 18 |
+
require('dotenv').config();
|
| 19 |
+
|
| 20 |
+
const { TelegramClient } = require('telegram');
|
| 21 |
+
const { StringSession } = require('telegram/sessions');
|
| 22 |
+
const { NewMessage } = require('telegram/events');
|
| 23 |
+
const { Api } = require('telegram');
|
| 24 |
+
|
| 25 |
const express = require('express');
|
| 26 |
+
const fs = require('fs');
|
| 27 |
+
const path = require('path');
|
| 28 |
+
const axios = require('axios');
|
| 29 |
|
| 30 |
const { extractGrid } = require('./ocr');
|
| 31 |
+
const { solve } = require('./solver');
|
|
|
|
| 32 |
|
| 33 |
+
// βββ Environment ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 34 |
+
const BOT_TOKEN = process.env.BOT_TOKEN;
|
| 35 |
+
const API_ID = parseInt(process.env.API_ID || '0', 10);
|
| 36 |
+
const API_HASH = process.env.API_HASH || '';
|
|
|
|
|
|
|
|
|
|
| 37 |
|
| 38 |
+
if (!BOT_TOKEN) {
|
| 39 |
+
console.error('[FATAL] BOT_TOKEN is required.');
|
| 40 |
+
process.exit(1);
|
| 41 |
+
}
|
| 42 |
+
if (!API_ID || !API_HASH) {
|
| 43 |
+
console.error('[FATAL] API_ID and API_HASH are required for GramJS MTProto.');
|
| 44 |
+
process.exit(1);
|
| 45 |
+
}
|
| 46 |
|
| 47 |
+
// βββ Dictionary βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 48 |
const dictionaryPath = path.join(__dirname, 'node_modules/check-word/words/en.txt');
|
| 49 |
const dictionary = new Set();
|
| 50 |
try {
|
| 51 |
+
const data = fs.readFileSync(dictionaryPath, 'utf8');
|
| 52 |
+
data.split('\n').forEach(line => {
|
| 53 |
+
const w = line.trim().toLowerCase();
|
| 54 |
+
if (w.length >= 3) dictionary.add(w);
|
| 55 |
+
});
|
| 56 |
+
console.log(`[Dict] Loaded ${dictionary.size} words.`);
|
| 57 |
} catch (err) {
|
| 58 |
+
console.error('[Dict] Failed to load dictionary:', err.message);
|
| 59 |
}
|
| 60 |
|
| 61 |
function isWord(w) {
|
| 62 |
+
return dictionary.has((w || '').toLowerCase());
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 63 |
}
|
| 64 |
|
| 65 |
+
// βββ Stats ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 66 |
+
const stats = {
|
| 67 |
+
imagesProcessed: 0,
|
| 68 |
+
wordsFound: 0,
|
| 69 |
+
startTime: Date.now(),
|
| 70 |
+
botUsername: 'loading...',
|
| 71 |
+
};
|
|
|
|
|
|
|
|
|
|
|
|
|
| 72 |
|
| 73 |
+
// βββ Helpers ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 74 |
+
async function deleteFile(filePath) {
|
| 75 |
+
for (let i = 0; i < 5; i++) {
|
| 76 |
try {
|
| 77 |
+
if (fs.existsSync(filePath)) fs.unlinkSync(filePath);
|
| 78 |
+
return;
|
|
|
|
| 79 |
} catch (e) {
|
| 80 |
+
await sleep(800);
|
| 81 |
}
|
| 82 |
+
}
|
| 83 |
+
}
|
| 84 |
|
| 85 |
+
function sleep(ms) {
|
| 86 |
+
return new Promise(r => setTimeout(r, ms));
|
| 87 |
+
}
|
|
|
|
|
|
|
|
|
|
|
|
|
| 88 |
|
| 89 |
+
/**
|
| 90 |
+
* Parse word patterns from caption text.
|
| 91 |
+
* Accepts formats like: M--- (4) or M---- or MATRIX (6)
|
| 92 |
+
*/
|
| 93 |
+
function parsePatterns(text) {
|
| 94 |
+
const results = [];
|
| 95 |
+
|
| 96 |
+
// Format 1: M--- (4) β pattern with explicit length
|
| 97 |
+
const re1 = /([A-Z])(-+)\s*\(\d+\)/gi;
|
| 98 |
+
let m;
|
| 99 |
+
while ((m = re1.exec(text)) !== null) {
|
| 100 |
+
const pattern = (m[1] + m[2]).toUpperCase();
|
| 101 |
+
results.push({ pattern });
|
| 102 |
+
}
|
| 103 |
+
|
| 104 |
+
// Format 2: standalone pattern like M--- (3+ dashes, capital start)
|
| 105 |
+
const re2 = /\b([A-Z])(-{2,})\b/g;
|
| 106 |
+
while ((m = re2.exec(text)) !== null) {
|
| 107 |
+
const pattern = (m[1] + m[2]).toUpperCase();
|
| 108 |
+
if (!results.find(r => r.pattern === pattern)) {
|
| 109 |
+
results.push({ pattern });
|
|
|
|
|
|
|
| 110 |
}
|
| 111 |
+
}
|
| 112 |
+
|
| 113 |
+
return results;
|
| 114 |
}
|
| 115 |
|
| 116 |
+
/**
|
| 117 |
+
* Detect grid size from caption text heuristics or explicit NxN.
|
| 118 |
+
*/
|
| 119 |
+
function detectGridSizeFromCaption(text) {
|
| 120 |
+
const upper = text.toUpperCase();
|
| 121 |
+
|
| 122 |
+
// Explicit NxN override
|
| 123 |
+
const sizeMatch = text.match(/\b(\d+)\s*[xXΓ]\s*\1\b/);
|
| 124 |
+
if (sizeMatch) {
|
| 125 |
+
const n = parseInt(sizeMatch[1], 10);
|
| 126 |
+
if (n >= 4 && n <= 15) {
|
| 127 |
+
console.log(`[Grid] Explicit size override: ${n}Γ${n}`);
|
| 128 |
+
return n;
|
| 129 |
+
}
|
| 130 |
+
}
|
| 131 |
|
| 132 |
+
if (upper.includes('HARD MODE') || upper.includes('10X10') || upper.includes('10 X 10')) {
|
| 133 |
+
console.log('[Grid] Detected 10Γ10 from caption phrase.');
|
| 134 |
+
return 10;
|
| 135 |
+
}
|
| 136 |
|
| 137 |
+
// Let OCR auto-detect β return null
|
| 138 |
+
return null;
|
| 139 |
+
}
|
| 140 |
|
| 141 |
+
/**
|
| 142 |
+
* Format results into a Telegram HTML message.
|
| 143 |
+
*/
|
| 144 |
+
function formatResults(results, grid, patterns) {
|
| 145 |
+
let msg = 'π― <b>WORD GRID RESULTS</b>\n\n';
|
| 146 |
+
let foundAny = false;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 147 |
|
| 148 |
+
for (const p of patterns) {
|
| 149 |
+
const key = p.pattern || p.word;
|
| 150 |
+
if (!key) continue;
|
| 151 |
|
| 152 |
+
const resultEntry = results[key];
|
| 153 |
+
if (!resultEntry) continue;
|
| 154 |
|
| 155 |
+
if (Array.isArray(resultEntry)) {
|
| 156 |
+
// Pattern search β validate against dictionary
|
| 157 |
+
const startChar = key[0].toUpperCase();
|
| 158 |
+
const wordMatches = [];
|
| 159 |
|
| 160 |
+
for (const hit of resultEntry) {
|
| 161 |
+
const raw = hit.match.toUpperCase();
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 162 |
|
| 163 |
+
// Exact word?
|
| 164 |
+
if (isWord(raw)) {
|
| 165 |
+
wordMatches.push(raw);
|
| 166 |
+
continue;
|
|
|
|
|
|
|
|
|
|
| 167 |
}
|
| 168 |
|
| 169 |
+
// Try forcing the known start character (OCR may have mis-read first char)
|
| 170 |
+
const forced = startChar + raw.slice(1);
|
| 171 |
+
if (isWord(forced)) {
|
| 172 |
+
wordMatches.push(forced);
|
| 173 |
+
continue;
|
| 174 |
}
|
| 175 |
|
| 176 |
+
// Try looking at all lookalike combos for first char
|
| 177 |
+
// (already handled by charMatch in solver, just log for debug)
|
| 178 |
+
console.log(`[Solver] Rejected non-word for ${key}: ${raw}`);
|
| 179 |
+
}
|
| 180 |
+
|
| 181 |
+
// Deduplicate
|
| 182 |
+
const unique = [...new Set(wordMatches)];
|
| 183 |
+
if (unique.length > 0) {
|
| 184 |
+
msg += `β
${key}: ${unique.map(w => `<code>${w}</code>`).join(', ')}\n`;
|
| 185 |
+
stats.wordsFound += unique.length;
|
| 186 |
+
foundAny = true;
|
| 187 |
+
} else {
|
| 188 |
+
msg += `β ${key}: no valid words found\n`;
|
| 189 |
+
}
|
| 190 |
+
} else {
|
| 191 |
+
// Exact word found
|
| 192 |
+
msg += `β
<code>${resultEntry.match}</code> at [${resultEntry.r},${resultEntry.c}] dir:${resultEntry.dir}\n`;
|
| 193 |
+
foundAny = true;
|
| 194 |
+
}
|
| 195 |
+
}
|
| 196 |
|
| 197 |
+
if (!foundAny) {
|
| 198 |
+
msg += 'π No real word matches found for these patterns.\n';
|
| 199 |
+
}
|
|
|
|
| 200 |
|
| 201 |
+
// Append grid debug
|
| 202 |
+
msg += '\nπ <b>Extracted Grid:</b>\n';
|
| 203 |
+
msg += '<pre>' + grid.map(row => row.join(' ')).join('\n') + '</pre>';
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 204 |
|
| 205 |
+
return msg;
|
| 206 |
+
}
|
|
|
|
| 207 |
|
| 208 |
+
// βββ GramJS Bot Setup βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 209 |
+
async function startBot() {
|
| 210 |
+
// For bots, we use an empty StringSession β GramJS handles the rest
|
| 211 |
+
const session = new StringSession('');
|
| 212 |
+
|
| 213 |
+
const client = new TelegramClient(session, API_ID, API_HASH, {
|
| 214 |
+
connectionRetries: 10,
|
| 215 |
+
retryDelay: 2000,
|
| 216 |
+
useWSS: false,
|
| 217 |
+
});
|
| 218 |
+
|
| 219 |
+
console.log('[GramJS] Connecting via MTProto...');
|
| 220 |
+
|
| 221 |
+
// Login as a bot using the token
|
| 222 |
+
await client.start({
|
| 223 |
+
botAuthToken: BOT_TOKEN,
|
| 224 |
+
});
|
| 225 |
+
|
| 226 |
+
console.log('[GramJS] Connected successfully.');
|
| 227 |
+
|
| 228 |
+
const me = await client.getMe();
|
| 229 |
+
stats.botUsername = me.username || 'unknown';
|
| 230 |
+
console.log(`[Bot] Running as @${stats.botUsername}`);
|
| 231 |
+
|
| 232 |
+
// βββ Handle new messages βββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 233 |
+
client.addEventHandler(async (event) => {
|
| 234 |
+
const msg = event.message;
|
| 235 |
+
if (!msg) return;
|
| 236 |
+
|
| 237 |
+
const chatId = msg.peerId;
|
| 238 |
+
const caption = msg.message || '';
|
| 239 |
+
|
| 240 |
+
// /start command
|
| 241 |
+
if (caption.trim() === '/start') {
|
| 242 |
+
await client.sendMessage(chatId, {
|
| 243 |
+
message: 'π Welcome to the Word Grid Solver!\n\nSend me a word grid image with your word patterns in the caption.\n\nExample caption: <code>M--- (4) P------- (8)</code>\n\nI support 8Γ8 and 10Γ10 grids and auto-detect the size!',
|
| 244 |
+
parseMode: 'html',
|
| 245 |
+
});
|
| 246 |
+
return;
|
| 247 |
+
}
|
| 248 |
|
| 249 |
+
// Check if message has a photo
|
| 250 |
+
const hasPhoto = msg.media && (
|
| 251 |
+
msg.media.className === 'MessageMediaPhoto' ||
|
| 252 |
+
(msg.media.document && msg.media.document.mimeType && msg.media.document.mimeType.startsWith('image/'))
|
| 253 |
+
);
|
| 254 |
|
| 255 |
+
if (!hasPhoto) return;
|
|
|
|
| 256 |
|
| 257 |
+
// ββ Download image ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 258 |
+
const imagePath = path.join(__dirname, `photo_${Date.now()}_${Math.random().toString(36).slice(2)}.jpg`);
|
| 259 |
+
let downloadedOk = false;
|
|
|
|
|
|
|
| 260 |
|
| 261 |
+
try {
|
| 262 |
+
await client.sendMessage(chatId, { message: 'π Processing your grid image...' });
|
| 263 |
+
|
| 264 |
+
const buffer = await client.downloadMedia(msg.media, { outputFile: Buffer });
|
| 265 |
+
if (!buffer || buffer.length === 0) throw new Error('Empty download buffer');
|
| 266 |
+
fs.writeFileSync(imagePath, buffer);
|
| 267 |
+
downloadedOk = true;
|
| 268 |
+
} catch (dlErr) {
|
| 269 |
+
console.error('[Download] Failed:', dlErr.message);
|
| 270 |
+
await client.sendMessage(chatId, { message: 'β Failed to download the image. Please try again.' });
|
| 271 |
+
await deleteFile(imagePath);
|
| 272 |
+
return;
|
| 273 |
}
|
|
|
|
|
|
|
| 274 |
|
| 275 |
+
try {
|
| 276 |
+
stats.imagesProcessed++;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 277 |
|
| 278 |
+
// ββ Detect grid size ββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 279 |
+
const forcedSize = detectGridSizeFromCaption(caption);
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 280 |
|
| 281 |
+
// ββ Extract grid via OCR ββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 282 |
+
const grid = await extractGrid(imagePath, forcedSize);
|
| 283 |
+
|
| 284 |
+
if (!grid || grid.length === 0) {
|
| 285 |
+
await client.sendMessage(chatId, { message: 'β Could not extract grid from the image. Make sure the grid is clearly visible.' });
|
| 286 |
+
await deleteFile(imagePath);
|
| 287 |
+
return;
|
| 288 |
+
}
|
| 289 |
+
|
| 290 |
+
// ββ Parse patterns ββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 291 |
+
const patterns = parsePatterns(caption);
|
| 292 |
+
|
| 293 |
+
if (patterns.length === 0) {
|
| 294 |
+
// No patterns β just show the grid
|
| 295 |
+
let noPatternMsg = 'π <b>Grid extracted</b> (no patterns found in caption):\n\n';
|
| 296 |
+
noPatternMsg += '<pre>' + grid.map(r => r.join(' ')).join('\n') + '</pre>';
|
| 297 |
+
noPatternMsg += '\n\nAdd patterns like <code>M--- (4)</code> to the caption to search for words!';
|
| 298 |
+
await client.sendMessage(chatId, { message: noPatternMsg, parseMode: 'html' });
|
| 299 |
+
await deleteFile(imagePath);
|
| 300 |
+
return;
|
| 301 |
+
}
|
| 302 |
+
|
| 303 |
+
// ββ Solve βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 304 |
+
const results = solve(grid, patterns);
|
| 305 |
+
|
| 306 |
+
// ββ Format and reply ββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 307 |
+
const reply = formatResults(results, grid, patterns);
|
| 308 |
+
|
| 309 |
+
await client.sendMessage(chatId, { message: reply, parseMode: 'html' });
|
| 310 |
+
|
| 311 |
+
} catch (err) {
|
| 312 |
+
console.error('[Handler] Error:', err);
|
| 313 |
+
await client.sendMessage(chatId, { message: 'π¨ An error occurred while processing. Please try again.' });
|
| 314 |
+
} finally {
|
| 315 |
+
await deleteFile(imagePath);
|
| 316 |
+
}
|
| 317 |
+
}, new NewMessage({}));
|
| 318 |
+
|
| 319 |
+
// Keep alive
|
| 320 |
+
console.log('[Bot] Listening for messages...');
|
| 321 |
+
|
| 322 |
+
// Graceful shutdown
|
| 323 |
+
const shutdown = async (signal) => {
|
| 324 |
+
console.log(`[Bot] Received ${signal}, disconnecting...`);
|
| 325 |
+
await client.disconnect();
|
| 326 |
+
process.exit(0);
|
| 327 |
+
};
|
| 328 |
+
process.once('SIGINT', () => shutdown('SIGINT'));
|
| 329 |
+
process.once('SIGTERM', () => shutdown('SIGTERM'));
|
| 330 |
}
|
| 331 |
|
| 332 |
+
// βββ Express Dashboard ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 333 |
+
const app = express();
|
| 334 |
+
const PORT = process.env.PORT || 7860;
|
| 335 |
|
| 336 |
app.use(express.static(path.join(__dirname, 'public')));
|
| 337 |
|
| 338 |
+
app.get('/api/stats', (_req, res) => {
|
| 339 |
+
res.json({
|
| 340 |
+
...stats,
|
| 341 |
+
uptime: Math.floor((Date.now() - stats.startTime) / 1000),
|
| 342 |
+
});
|
| 343 |
});
|
| 344 |
|
| 345 |
+
app.listen(PORT, () => {
|
| 346 |
+
console.log(`[Dashboard] Running on port ${PORT}`);
|
| 347 |
});
|
| 348 |
|
| 349 |
+
// βββ Launch βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 350 |
+
startBot().catch(err => {
|
| 351 |
+
console.error('[FATAL] Bot startup failed:', err);
|
| 352 |
+
process.exit(1);
|
|
|
|
|
|
|
|
|
|
|
|
|
| 353 |
});
|
ocr.js
CHANGED
|
@@ -1,106 +1,267 @@
|
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|
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|
|
|
|
|
|
| 1 |
const sharp = require('sharp');
|
| 2 |
sharp.cache(false);
|
| 3 |
const { createWorker } = require('tesseract.js');
|
| 4 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
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|
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|
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|
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|
|
|
|
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|
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|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
| 5 |
/**
|
| 6 |
-
*
|
|
|
|
|
|
|
| 7 |
*/
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
worker = await createWorker('eng');
|
| 14 |
-
await worker.setParameters({
|
| 15 |
-
tessedit_char_whitelist: 'ABCDEFGHIJKLMNOPQRSTUVWXYZ',
|
| 16 |
-
});
|
| 17 |
-
|
| 18 |
-
const thresholds = [80, 110, 140, 170, 200];
|
| 19 |
-
const allSymbols = [];
|
| 20 |
-
|
| 21 |
-
for (const th of thresholds) {
|
| 22 |
-
const processedImageBuffer = await sharp(imagePath)
|
| 23 |
-
.grayscale()
|
| 24 |
-
.negate() // Black on white
|
| 25 |
-
.normalize()
|
| 26 |
-
.sharpen()
|
| 27 |
-
.threshold(th)
|
| 28 |
-
.toBuffer();
|
| 29 |
-
|
| 30 |
-
const res = await worker.recognize(processedImageBuffer);
|
| 31 |
-
|
| 32 |
-
if (res.data.symbols && res.data.symbols.length > 0) {
|
| 33 |
-
for (const s of res.data.symbols) {
|
| 34 |
-
const text = s.text.replace(/[^A-Z]/gi, '').toUpperCase();
|
| 35 |
-
if (text && text.length === 1) {
|
| 36 |
-
const midX = (s.bbox.x0 + s.bbox.x1) / 2;
|
| 37 |
-
const midY = (s.bbox.y0 + s.bbox.y1) / 2;
|
| 38 |
-
allSymbols.push({ char: text, x: midX, y: midY });
|
| 39 |
-
}
|
| 40 |
-
}
|
| 41 |
-
}
|
| 42 |
-
}
|
| 43 |
|
| 44 |
-
|
| 45 |
-
await worker.terminate();
|
| 46 |
-
return null;
|
| 47 |
-
}
|
| 48 |
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
|
| 52 |
-
for (const s of allSymbols) {
|
| 53 |
-
if (s.x < minX) minX = s.x;
|
| 54 |
-
if (s.y < minY) minY = s.y;
|
| 55 |
-
if (s.x > maxX) maxX = s.x;
|
| 56 |
-
if (s.y > maxY) maxY = s.y;
|
| 57 |
-
}
|
| 58 |
|
| 59 |
-
|
| 60 |
-
|
| 61 |
-
|
| 62 |
-
|
| 63 |
-
|
| 64 |
-
|
| 65 |
-
|
| 66 |
-
|
| 67 |
-
|
| 68 |
-
|
| 69 |
-
|
| 70 |
-
|
| 71 |
-
|
| 72 |
-
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
|
| 76 |
-
r = Math.max(0, Math.min(gridSize - 1, r));
|
| 77 |
-
|
| 78 |
-
cellMap[r][c][s.char] = (cellMap[r][c][s.char] || 0) + 1;
|
| 79 |
-
}
|
| 80 |
|
| 81 |
-
|
| 82 |
-
|
| 83 |
-
|
| 84 |
-
|
| 85 |
-
|
| 86 |
-
|
| 87 |
-
|
| 88 |
-
|
| 89 |
-
|
| 90 |
-
|
| 91 |
-
|
| 92 |
-
|
| 93 |
-
|
| 94 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 95 |
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 96 |
|
| 97 |
-
|
| 98 |
-
|
| 99 |
-
|
| 100 |
-
|
| 101 |
-
|
| 102 |
-
return null;
|
| 103 |
}
|
|
|
|
|
|
|
| 104 |
}
|
| 105 |
|
| 106 |
module.exports = { extractGrid };
|
|
|
|
| 1 |
+
/**
|
| 2 |
+
* ocr.js β Advanced multi-pass Tesseract OCR with auto-detecting grid size
|
| 3 |
+
*
|
| 4 |
+
* Key improvements over v1:
|
| 5 |
+
* β’ Auto-detect grid size (8Γ8 vs 10Γ10 vs other NxN) via symbol clustering
|
| 6 |
+
* β’ Multi-threshold voting (5 passes) for better letter accuracy
|
| 7 |
+
* β’ K-means-style column/row centroid detection instead of fixed bucket math
|
| 8 |
+
* β’ Lookalike-aware majority voting per cell (I/L, O/0, B/8, etc.)
|
| 9 |
+
* β’ No magic assumption of exactly N symbols β works with noise/gaps
|
| 10 |
+
*/
|
| 11 |
+
|
| 12 |
const sharp = require('sharp');
|
| 13 |
sharp.cache(false);
|
| 14 |
const { createWorker } = require('tesseract.js');
|
| 15 |
|
| 16 |
+
// βββ OCR lookalike corrections (applied at voting time) βββββββββββββββββββββββ
|
| 17 |
+
const LOOKALIKE_GROUPS = [
|
| 18 |
+
['I', 'L', '1', '|', 'J'],
|
| 19 |
+
['O', '0', 'Q', 'D'],
|
| 20 |
+
['B', '8', '3'],
|
| 21 |
+
['S', '5'],
|
| 22 |
+
['G', '6', 'C'],
|
| 23 |
+
['Z', '2'],
|
| 24 |
+
['E', 'F'],
|
| 25 |
+
['U', 'V'],
|
| 26 |
+
];
|
| 27 |
+
|
| 28 |
+
// Build canonical map: non-alpha β preferred alpha
|
| 29 |
+
const CANONICAL = {};
|
| 30 |
+
for (const group of LOOKALIKE_GROUPS) {
|
| 31 |
+
const alpha = group.find(c => /^[A-Z]$/.test(c));
|
| 32 |
+
if (!alpha) continue;
|
| 33 |
+
for (const c of group) {
|
| 34 |
+
if (!/^[A-Z]$/.test(c)) CANONICAL[c] = alpha;
|
| 35 |
+
}
|
| 36 |
+
}
|
| 37 |
+
|
| 38 |
+
function canonicalise(char) {
|
| 39 |
+
return CANONICAL[char.toUpperCase()] || char.toUpperCase();
|
| 40 |
+
}
|
| 41 |
+
|
| 42 |
+
// βββ Simple 1-D k-means-style centroid finder βββββββββββββββββββββββββββββββββ
|
| 43 |
/**
|
| 44 |
+
* Given a sorted list of values and a target cluster count,
|
| 45 |
+
* iteratively refine cluster centroids until stable.
|
| 46 |
+
* Returns sorted list of centroids.
|
| 47 |
*/
|
| 48 |
+
function findCentroids(values, k) {
|
| 49 |
+
if (values.length === 0) return [];
|
| 50 |
+
const sorted = [...values].sort((a, b) => a - b);
|
| 51 |
+
const min = sorted[0], max = sorted[sorted.length - 1];
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 52 |
|
| 53 |
+
if (k <= 1) return [(min + max) / 2];
|
|
|
|
|
|
|
|
|
|
| 54 |
|
| 55 |
+
// Initialise centroids evenly spaced
|
| 56 |
+
let centroids = Array.from({ length: k }, (_, i) => min + (i / (k - 1)) * (max - min));
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 57 |
|
| 58 |
+
for (let iter = 0; iter < 30; iter++) {
|
| 59 |
+
// Assign each value to nearest centroid
|
| 60 |
+
const clusters = Array.from({ length: k }, () => []);
|
| 61 |
+
for (const v of sorted) {
|
| 62 |
+
let best = 0, bestDist = Infinity;
|
| 63 |
+
for (let i = 0; i < k; i++) {
|
| 64 |
+
const d = Math.abs(v - centroids[i]);
|
| 65 |
+
if (d < bestDist) { bestDist = d; best = i; }
|
| 66 |
+
}
|
| 67 |
+
clusters[best].push(v);
|
| 68 |
+
}
|
| 69 |
+
|
| 70 |
+
// Recompute centroids
|
| 71 |
+
const newCentroids = centroids.map((c, i) => {
|
| 72 |
+
if (clusters[i].length === 0) return c;
|
| 73 |
+
return clusters[i].reduce((a, b) => a + b, 0) / clusters[i].length;
|
| 74 |
+
});
|
|
|
|
|
|
|
|
|
|
|
|
|
| 75 |
|
| 76 |
+
// Check convergence
|
| 77 |
+
const moved = newCentroids.some((nc, i) => Math.abs(nc - centroids[i]) > 0.01);
|
| 78 |
+
centroids = newCentroids;
|
| 79 |
+
if (!moved) break;
|
| 80 |
+
}
|
| 81 |
+
|
| 82 |
+
return centroids.sort((a, b) => a - b);
|
| 83 |
+
}
|
| 84 |
+
|
| 85 |
+
// βββ Auto-detect grid size from symbol cloud ββββββββββββββββββββββββββββββββββ
|
| 86 |
+
/**
|
| 87 |
+
* Try k=8 and k=10 clusterings on the X coordinates.
|
| 88 |
+
* Pick whichever produces tighter within-cluster variance.
|
| 89 |
+
*/
|
| 90 |
+
function detectGridSize(xs) {
|
| 91 |
+
if (xs.length === 0) return 8;
|
| 92 |
+
|
| 93 |
+
const tryK = (k) => {
|
| 94 |
+
const cents = findCentroids(xs, k);
|
| 95 |
+
let totalVar = 0;
|
| 96 |
+
const clusters = Array.from({ length: k }, () => []);
|
| 97 |
+
for (const x of xs) {
|
| 98 |
+
let best = 0, bestDist = Infinity;
|
| 99 |
+
for (let i = 0; i < k; i++) {
|
| 100 |
+
const d = Math.abs(x - cents[i]);
|
| 101 |
+
if (d < bestDist) { bestDist = d; best = i; }
|
| 102 |
+
}
|
| 103 |
+
clusters[best].push(x);
|
| 104 |
+
}
|
| 105 |
+
for (const cl of clusters) {
|
| 106 |
+
if (cl.length === 0) continue;
|
| 107 |
+
const mean = cl.reduce((a, b) => a + b, 0) / cl.length;
|
| 108 |
+
totalVar += cl.reduce((s, v) => s + (v - mean) ** 2, 0);
|
| 109 |
+
}
|
| 110 |
+
// Normalise by k so we compare fairly
|
| 111 |
+
return totalVar / k;
|
| 112 |
+
};
|
| 113 |
+
|
| 114 |
+
// If very few symbols, default to 8
|
| 115 |
+
if (xs.length < 30) return 8;
|
| 116 |
+
|
| 117 |
+
const v8 = tryK(8);
|
| 118 |
+
const v10 = tryK(10);
|
| 119 |
+
|
| 120 |
+
// Heuristic: also check symbol density
|
| 121 |
+
// A 10Γ10 grid should have ~100 symbols; an 8Γ8 ~ 64
|
| 122 |
+
const symbolCount = xs.length;
|
| 123 |
+
if (symbolCount > 350) return 10; // many multi-pass hits β likely 10Γ10
|
| 124 |
+
|
| 125 |
+
// Use variance ratio to decide
|
| 126 |
+
// If v10 is significantly better (lower) than v8, go with 10
|
| 127 |
+
return (v10 < v8 * 0.85) ? 10 : 8;
|
| 128 |
+
}
|
| 129 |
+
|
| 130 |
+
// βββ Main extractGrid function ββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 131 |
+
/**
|
| 132 |
+
* @param {string} imagePath
|
| 133 |
+
* @param {number|null} forcedSize - if null, auto-detect
|
| 134 |
+
* @returns {string[][]|null}
|
| 135 |
+
*/
|
| 136 |
+
async function extractGrid(imagePath, forcedSize = null) {
|
| 137 |
+
let worker = null;
|
| 138 |
+
try {
|
| 139 |
+
const THRESHOLDS = [70, 100, 130, 160, 190, 210];
|
| 140 |
+
const allSymbols = []; // { char, x, y }
|
| 141 |
+
|
| 142 |
+
worker = await createWorker('eng');
|
| 143 |
+
await worker.setParameters({
|
| 144 |
+
tessedit_char_whitelist: 'ABCDEFGHIJKLMNOPQRSTUVWXYZ',
|
| 145 |
+
tessedit_pageseg_mode: '6', // Assume uniform block of text
|
| 146 |
+
});
|
| 147 |
+
|
| 148 |
+
for (const th of THRESHOLDS) {
|
| 149 |
+
let buf;
|
| 150 |
+
try {
|
| 151 |
+
buf = await sharp(imagePath)
|
| 152 |
+
.grayscale()
|
| 153 |
+
.normalize()
|
| 154 |
+
.sharpen({ sigma: 1.5 })
|
| 155 |
+
.threshold(th)
|
| 156 |
+
.toBuffer();
|
| 157 |
+
} catch (e) {
|
| 158 |
+
console.warn(`Sharp preprocessing failed at threshold ${th}:`, e.message);
|
| 159 |
+
continue;
|
| 160 |
+
}
|
| 161 |
+
|
| 162 |
+
let res;
|
| 163 |
+
try {
|
| 164 |
+
res = await worker.recognize(buf);
|
| 165 |
+
} catch (e) {
|
| 166 |
+
console.warn(`Tesseract failed at threshold ${th}:`, e.message);
|
| 167 |
+
continue;
|
| 168 |
+
}
|
| 169 |
+
|
| 170 |
+
if (!res.data.symbols) continue;
|
| 171 |
+
|
| 172 |
+
for (const s of res.data.symbols) {
|
| 173 |
+
const raw = (s.text || '').replace(/[^A-Za-z0-9|]/g, '').toUpperCase();
|
| 174 |
+
if (!raw || raw.length !== 1) continue;
|
| 175 |
+
const ch = canonicalise(raw);
|
| 176 |
+
if (!/^[A-Z]$/.test(ch)) continue;
|
| 177 |
+
|
| 178 |
+
const midX = (s.bbox.x0 + s.bbox.x1) / 2;
|
| 179 |
+
const midY = (s.bbox.y0 + s.bbox.y1) / 2;
|
| 180 |
+
allSymbols.push({ char: ch, x: midX, y: midY });
|
| 181 |
+
}
|
| 182 |
+
}
|
| 183 |
+
|
| 184 |
+
await worker.terminate();
|
| 185 |
+
worker = null;
|
| 186 |
+
|
| 187 |
+
if (allSymbols.length === 0) {
|
| 188 |
+
console.warn('No symbols detected from OCR.');
|
| 189 |
+
return null;
|
| 190 |
+
}
|
| 191 |
+
|
| 192 |
+
console.log(`Total symbol observations (all passes): ${allSymbols.length}`);
|
| 193 |
+
|
| 194 |
+
// ββ Detect or use forced grid size ββ
|
| 195 |
+
const xs = allSymbols.map(s => s.x);
|
| 196 |
+
const ys = allSymbols.map(s => s.y);
|
| 197 |
+
|
| 198 |
+
const gridSize = forcedSize !== null ? forcedSize : detectGridSize(xs);
|
| 199 |
+
console.log(`Using grid size: ${gridSize}Γ${gridSize}`);
|
| 200 |
+
|
| 201 |
+
// ββ Cluster columns and rows ββ
|
| 202 |
+
const colCentroids = findCentroids(xs, gridSize);
|
| 203 |
+
const rowCentroids = findCentroids(ys, gridSize);
|
| 204 |
+
|
| 205 |
+
// ββ Vote per cell ββ
|
| 206 |
+
// cellVotes[r][c] = { char: count }
|
| 207 |
+
const cellVotes = Array.from({ length: gridSize }, () =>
|
| 208 |
+
Array.from({ length: gridSize }, () => ({}))
|
| 209 |
+
);
|
| 210 |
+
|
| 211 |
+
const colSpan = colCentroids.length > 1
|
| 212 |
+
? (colCentroids[colCentroids.length - 1] - colCentroids[0]) / (gridSize - 1)
|
| 213 |
+
: 50;
|
| 214 |
+
const rowSpan = rowCentroids.length > 1
|
| 215 |
+
? (rowCentroids[rowCentroids.length - 1] - rowCentroids[0]) / (gridSize - 1)
|
| 216 |
+
: 50;
|
| 217 |
+
const colTol = colSpan * 0.5;
|
| 218 |
+
const rowTol = rowSpan * 0.5;
|
| 219 |
+
|
| 220 |
+
for (const s of allSymbols) {
|
| 221 |
+
// Assign to nearest column centroid within tolerance
|
| 222 |
+
let bestC = -1, bestCDist = Infinity;
|
| 223 |
+
for (let i = 0; i < colCentroids.length; i++) {
|
| 224 |
+
const d = Math.abs(s.x - colCentroids[i]);
|
| 225 |
+
if (d < bestCDist) { bestCDist = d; bestC = i; }
|
| 226 |
+
}
|
| 227 |
+
if (bestCDist > colTol * 2) continue; // too far from any centroid β noise
|
| 228 |
+
|
| 229 |
+
let bestR = -1, bestRDist = Infinity;
|
| 230 |
+
for (let i = 0; i < rowCentroids.length; i++) {
|
| 231 |
+
const d = Math.abs(s.y - rowCentroids[i]);
|
| 232 |
+
if (d < bestRDist) { bestRDist = d; bestR = i; }
|
| 233 |
+
}
|
| 234 |
+
if (bestRDist > rowTol * 2) continue;
|
| 235 |
+
|
| 236 |
+
cellVotes[bestR][bestC][s.char] = (cellVotes[bestR][bestC][s.char] || 0) + 1;
|
| 237 |
+
}
|
| 238 |
+
|
| 239 |
+
// ββ Build final grid ββ
|
| 240 |
+
const grid = Array.from({ length: gridSize }, (_, r) =>
|
| 241 |
+
Array.from({ length: gridSize }, (_, c) => {
|
| 242 |
+
const votes = cellVotes[r][c];
|
| 243 |
+
let best = '?', maxV = 0;
|
| 244 |
+
for (const [ch, v] of Object.entries(votes)) {
|
| 245 |
+
if (v > maxV) { maxV = v; best = ch; }
|
| 246 |
}
|
| 247 |
+
return best;
|
| 248 |
+
})
|
| 249 |
+
);
|
| 250 |
+
|
| 251 |
+
// Log the extracted grid for debugging
|
| 252 |
+
console.log('Extracted grid:');
|
| 253 |
+
for (const row of grid) {
|
| 254 |
+
console.log(row.join(' '));
|
| 255 |
+
}
|
| 256 |
|
| 257 |
+
return grid;
|
| 258 |
+
} catch (err) {
|
| 259 |
+
console.error('OCR Error:', err);
|
| 260 |
+
if (worker) {
|
| 261 |
+
try { await worker.terminate(); } catch (_) {}
|
|
|
|
| 262 |
}
|
| 263 |
+
return null;
|
| 264 |
+
}
|
| 265 |
}
|
| 266 |
|
| 267 |
module.exports = { extractGrid };
|
package-lock.json
CHANGED
|
@@ -1,22 +1,30 @@
|
|
| 1 |
{
|
| 2 |
"name": "wordgridsolver",
|
| 3 |
-
"version": "
|
| 4 |
"lockfileVersion": 3,
|
| 5 |
"requires": true,
|
| 6 |
"packages": {
|
| 7 |
"": {
|
| 8 |
"name": "wordgridsolver",
|
| 9 |
-
"version": "
|
| 10 |
"dependencies": {
|
| 11 |
"axios": "^1.6.0",
|
|
|
|
| 12 |
"check-word": "^1.1.0",
|
| 13 |
"dotenv": "^17.4.2",
|
| 14 |
"express": "^5.2.1",
|
|
|
|
| 15 |
"sharp": "^0.34.5",
|
| 16 |
-
"
|
| 17 |
"tesseract.js": "^5.0.0"
|
| 18 |
}
|
| 19 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 20 |
"node_modules/@emnapi/runtime": {
|
| 21 |
"version": "1.9.2",
|
| 22 |
"resolved": "https://registry.npmjs.org/@emnapi/runtime/-/runtime-1.9.2.tgz",
|
|
@@ -492,24 +500,6 @@
|
|
| 492 |
"url": "https://opencollective.com/libvips"
|
| 493 |
}
|
| 494 |
},
|
| 495 |
-
"node_modules/@telegraf/types": {
|
| 496 |
-
"version": "7.1.0",
|
| 497 |
-
"resolved": "https://registry.npmjs.org/@telegraf/types/-/types-7.1.0.tgz",
|
| 498 |
-
"integrity": "sha512-kGevOIbpMcIlCDeorKGpwZmdH7kHbqlk/Yj6dEpJMKEQw5lk0KVQY0OLXaCswy8GqlIVLd5625OB+rAntP9xVw==",
|
| 499 |
-
"license": "MIT"
|
| 500 |
-
},
|
| 501 |
-
"node_modules/abort-controller": {
|
| 502 |
-
"version": "3.0.0",
|
| 503 |
-
"resolved": "https://registry.npmjs.org/abort-controller/-/abort-controller-3.0.0.tgz",
|
| 504 |
-
"integrity": "sha512-h8lQ8tacZYnR3vNQTgibj+tODHI5/+l06Au2Pcriv/Gmet0eaj4TwWH41sO9wnHDiQsEj19q0drzdWdeAHtweg==",
|
| 505 |
-
"license": "MIT",
|
| 506 |
-
"dependencies": {
|
| 507 |
-
"event-target-shim": "^5.0.0"
|
| 508 |
-
},
|
| 509 |
-
"engines": {
|
| 510 |
-
"node": ">=6.5"
|
| 511 |
-
}
|
| 512 |
-
},
|
| 513 |
"node_modules/accepts": {
|
| 514 |
"version": "2.0.0",
|
| 515 |
"resolved": "https://registry.npmjs.org/accepts/-/accepts-2.0.0.tgz",
|
|
@@ -548,6 +538,42 @@
|
|
| 548 |
"url": "https://opencollective.com/express"
|
| 549 |
}
|
| 550 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 551 |
"node_modules/asynckit": {
|
| 552 |
"version": "0.4.0",
|
| 553 |
"resolved": "https://registry.npmjs.org/asynckit/-/asynckit-0.4.0.tgz",
|
|
@@ -565,6 +591,51 @@
|
|
| 565 |
"proxy-from-env": "^2.1.0"
|
| 566 |
}
|
| 567 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 568 |
"node_modules/bmp-js": {
|
| 569 |
"version": "0.1.0",
|
| 570 |
"resolved": "https://registry.npmjs.org/bmp-js/-/bmp-js-0.1.0.tgz",
|
|
@@ -595,27 +666,42 @@
|
|
| 595 |
"url": "https://opencollective.com/express"
|
| 596 |
}
|
| 597 |
},
|
| 598 |
-
"node_modules/buffer
|
| 599 |
-
"version": "
|
| 600 |
-
"resolved": "https://registry.npmjs.org/buffer
|
| 601 |
-
"integrity": "sha512-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 602 |
"license": "MIT",
|
| 603 |
"dependencies": {
|
| 604 |
-
"
|
| 605 |
-
"
|
| 606 |
}
|
| 607 |
},
|
| 608 |
-
"node_modules/
|
| 609 |
-
"version": "
|
| 610 |
-
"resolved": "https://registry.npmjs.org/
|
| 611 |
-
"integrity": "sha512-
|
| 612 |
-
"
|
| 613 |
-
|
| 614 |
-
|
| 615 |
-
|
| 616 |
-
|
| 617 |
-
"
|
| 618 |
-
|
|
|
|
| 619 |
},
|
| 620 |
"node_modules/bytes": {
|
| 621 |
"version": "3.1.2",
|
|
@@ -655,12 +741,55 @@
|
|
| 655 |
"url": "https://github.com/sponsors/ljharb"
|
| 656 |
}
|
| 657 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 658 |
"node_modules/check-word": {
|
| 659 |
"version": "1.1.0",
|
| 660 |
"resolved": "https://registry.npmjs.org/check-word/-/check-word-1.1.0.tgz",
|
| 661 |
"integrity": "sha512-lkPjTvHn+3gPQ+sA2Z3QrV9fNqX2NXpvxQIxiG7pQaPQ8NhPR4dUmpHLRlCbqrP5Wo0oAzVVh7MKhwGECcvhyQ==",
|
| 662 |
"license": "GPL 2.0"
|
| 663 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 664 |
"node_modules/combined-stream": {
|
| 665 |
"version": "1.0.8",
|
| 666 |
"resolved": "https://registry.npmjs.org/combined-stream/-/combined-stream-1.0.8.tgz",
|
|
@@ -713,6 +842,27 @@
|
|
| 713 |
"node": ">=6.6.0"
|
| 714 |
}
|
| 715 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 716 |
"node_modules/debug": {
|
| 717 |
"version": "4.4.3",
|
| 718 |
"resolved": "https://registry.npmjs.org/debug/-/debug-4.4.3.tgz",
|
|
@@ -757,6 +907,61 @@
|
|
| 757 |
"node": ">=8"
|
| 758 |
}
|
| 759 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 760 |
"node_modules/dotenv": {
|
| 761 |
"version": "17.4.2",
|
| 762 |
"resolved": "https://registry.npmjs.org/dotenv/-/dotenv-17.4.2.tgz",
|
|
@@ -798,6 +1003,15 @@
|
|
| 798 |
"node": ">= 0.8"
|
| 799 |
}
|
| 800 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 801 |
"node_modules/es-define-property": {
|
| 802 |
"version": "1.0.1",
|
| 803 |
"resolved": "https://registry.npmjs.org/es-define-property/-/es-define-property-1.0.1.tgz",
|
|
@@ -843,12 +1057,76 @@
|
|
| 843 |
"node": ">= 0.4"
|
| 844 |
}
|
| 845 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
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|
|
|
|
|
|
|
|
| 846 |
"node_modules/escape-html": {
|
| 847 |
"version": "1.0.3",
|
| 848 |
"resolved": "https://registry.npmjs.org/escape-html/-/escape-html-1.0.3.tgz",
|
| 849 |
"integrity": "sha512-NiSupZ4OeuGwr68lGIeym/ksIZMJodUGOSCZ/FSnTxcrekbvqrgdUxlJOMpijaKZVjAJrWrGs/6Jy8OMuyj9ow==",
|
| 850 |
"license": "MIT"
|
| 851 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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| 852 |
"node_modules/etag": {
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| 853 |
"version": "1.8.1",
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| 854 |
"resolved": "https://registry.npmjs.org/etag/-/etag-1.8.1.tgz",
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| 859 |
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| 860 |
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"license": "MIT",
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@@ -935,6 +1223,28 @@
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"resolved": "https://registry.npmjs.org/finalhandler/-/finalhandler-2.1.1.tgz",
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@@ -1068,6 +1378,24 @@
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"url": "https://github.com/sponsors/ljharb"
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"version": "1.1.0",
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"resolved": "https://registry.npmjs.org/has-symbols/-/has-symbols-1.1.0.tgz",
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| 1110 |
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| 1111 |
"version": "2.0.1",
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| 1112 |
"resolved": "https://registry.npmjs.org/http-errors/-/http-errors-2.0.1.tgz",
|
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@@ -1149,12 +1496,86 @@
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| 1149 |
"integrity": "sha512-yjD9nARJ/jb1g+CvD0tlhUHOrJ9Sy0P8T9MF3YaLlHnSRpwPfpTX0XIvpmw3gAJUmEu3FiICLBDPXVwyEvrleg==",
|
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"license": "Apache-2.0"
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| 1152 |
"node_modules/inherits": {
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| 1153 |
"version": "2.0.4",
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| 1154 |
"resolved": "https://registry.npmjs.org/inherits/-/inherits-2.0.4.tgz",
|
| 1155 |
"integrity": "sha512-k/vGaX4/Yla3WzyMCvTQOXYeIHvqOKtnqBduzTHpzpQZzAskKMhZ2K+EnBiSM9zGSoIFeMpXKxa4dYeZIQqewQ==",
|
| 1156 |
"license": "ISC"
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| 1158 |
"node_modules/ipaddr.js": {
|
| 1159 |
"version": "1.9.1",
|
| 1160 |
"resolved": "https://registry.npmjs.org/ipaddr.js/-/ipaddr.js-1.9.1.tgz",
|
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@@ -1170,18 +1591,42 @@
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| 1170 |
"integrity": "sha512-FO/Rhvz5tuw4MCWkpMzHFKWD2LsfHzIb7i6MdPYZ/KW7AlxawyLkqdy+jPZP1WubqEADE3O4FUENlJHDfQASRg==",
|
| 1171 |
"license": "MIT"
|
| 1172 |
},
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"node_modules/is-promise": {
|
| 1174 |
"version": "4.0.0",
|
| 1175 |
"resolved": "https://registry.npmjs.org/is-promise/-/is-promise-4.0.0.tgz",
|
| 1176 |
"integrity": "sha512-hvpoI6korhJMnej285dSg6nu1+e6uxs7zG3BYAm5byqDsgJNWwxzM6z6iZiAgQR4TJ30JmBTOwqZUw3WlyH3AQ==",
|
| 1177 |
"license": "MIT"
|
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| 1179 |
"node_modules/is-url": {
|
| 1180 |
"version": "1.2.4",
|
| 1181 |
"resolved": "https://registry.npmjs.org/is-url/-/is-url-1.2.4.tgz",
|
| 1182 |
"integrity": "sha512-ITvGim8FhRiYe4IQ5uHSkj7pVaPDrCTkNd3yq3cV7iZAcJdHTUMPMEHcqSOy9xZ9qFenQCvi+2wjH9a1nXqHww==",
|
| 1183 |
"license": "MIT"
|
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"node_modules/math-intrinsics": {
|
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"version": "1.1.0",
|
| 1187 |
"resolved": "https://registry.npmjs.org/math-intrinsics/-/math-intrinsics-1.1.0.tgz",
|
|
@@ -1212,6 +1657,18 @@
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| 1212 |
"url": "https://github.com/sponsors/sindresorhus"
|
| 1213 |
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|
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"version": "1.52.0",
|
| 1217 |
"resolved": "https://registry.npmjs.org/mime-db/-/mime-db-1.52.0.tgz",
|
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@@ -1233,21 +1690,18 @@
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| 1233 |
"node": ">= 0.6"
|
| 1234 |
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|
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|
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"node_modules/mri": {
|
| 1237 |
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"version": "1.2.0",
|
| 1238 |
-
"resolved": "https://registry.npmjs.org/mri/-/mri-1.2.0.tgz",
|
| 1239 |
-
"integrity": "sha512-tzzskb3bG8LvYGFF/mDTpq3jpI6Q9wc3LEmBaghu+DdCssd1FakN7Bc0hVNmEyGq1bq3RgfkCb3cmQLpNPOroA==",
|
| 1240 |
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"license": "MIT",
|
| 1241 |
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"engines": {
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|
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|
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| 1245 |
"node_modules/ms": {
|
| 1246 |
"version": "2.1.3",
|
| 1247 |
"resolved": "https://registry.npmjs.org/ms/-/ms-2.1.3.tgz",
|
| 1248 |
"integrity": "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA==",
|
| 1249 |
"license": "MIT"
|
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| 1251 |
"node_modules/negotiator": {
|
| 1252 |
"version": "1.0.0",
|
| 1253 |
"resolved": "https://registry.npmjs.org/negotiator/-/negotiator-1.0.0.tgz",
|
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@@ -1257,6 +1711,12 @@
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"node": ">= 0.6"
|
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|
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| 1261 |
"version": "2.7.0",
|
| 1262 |
"resolved": "https://registry.npmjs.org/node-fetch/-/node-fetch-2.7.0.tgz",
|
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@@ -1277,6 +1737,47 @@
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| 1280 |
"node_modules/object-inspect": {
|
| 1281 |
"version": "1.13.4",
|
| 1282 |
"resolved": "https://registry.npmjs.org/object-inspect/-/object-inspect-1.13.4.tgz",
|
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@@ -1310,6 +1811,15 @@
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"wrappy": "1"
|
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| 1313 |
"node_modules/opencollective-postinstall": {
|
| 1314 |
"version": "2.0.3",
|
| 1315 |
"resolved": "https://registry.npmjs.org/opencollective-postinstall/-/opencollective-postinstall-2.0.3.tgz",
|
|
@@ -1319,14 +1829,11 @@
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| 1319 |
"opencollective-postinstall": "index.js"
|
| 1320 |
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|
| 1321 |
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|
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|
| 1323 |
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"version": "
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"resolved": "https://registry.npmjs.org/
|
| 1325 |
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"integrity": "sha512-+/
|
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"license": "MIT"
|
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"engines": {
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"node": ">=10"
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|
| 1330 |
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"node_modules/parseurl": {
|
| 1332 |
"version": "1.3.3",
|
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@@ -1337,6 +1844,12 @@
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"node": ">= 0.8"
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"node_modules/path-to-regexp": {
|
| 1341 |
"version": "8.4.2",
|
| 1342 |
"resolved": "https://registry.npmjs.org/path-to-regexp/-/path-to-regexp-8.4.2.tgz",
|
|
@@ -1408,12 +1921,42 @@
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"node": ">= 0.10"
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| 1409 |
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| 1411 |
"node_modules/regenerator-runtime": {
|
| 1412 |
"version": "0.13.11",
|
| 1413 |
"resolved": "https://registry.npmjs.org/regenerator-runtime/-/regenerator-runtime-0.13.11.tgz",
|
| 1414 |
"integrity": "sha512-kY1AZVr2Ra+t+piVaJ4gxaFaReZVH40AKNo7UCX6W+dEwBo/2oZJzqfuN1qLq1oL45o56cPaTXELwrTh8Fpggg==",
|
| 1415 |
"license": "MIT"
|
| 1416 |
},
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"node_modules/router": {
|
| 1418 |
"version": "2.2.0",
|
| 1419 |
"resolved": "https://registry.npmjs.org/router/-/router-2.2.0.tgz",
|
|
@@ -1430,30 +1973,26 @@
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| 1430 |
"node": ">= 18"
|
| 1431 |
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|
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|
| 1434 |
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"version": "
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| 1435 |
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"resolved": "https://registry.npmjs.org/
|
| 1436 |
-
"integrity": "sha512-
|
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"license": "MIT",
|
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"dependencies": {
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"node_modules/safer-buffer": {
|
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"version": "2.1.2",
|
| 1444 |
"resolved": "https://registry.npmjs.org/safer-buffer/-/safer-buffer-2.1.2.tgz",
|
| 1445 |
"integrity": "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg==",
|
| 1446 |
"license": "MIT"
|
| 1447 |
},
|
| 1448 |
-
"node_modules/sandwich-stream": {
|
| 1449 |
-
"version": "2.0.2",
|
| 1450 |
-
"resolved": "https://registry.npmjs.org/sandwich-stream/-/sandwich-stream-2.0.2.tgz",
|
| 1451 |
-
"integrity": "sha512-jLYV0DORrzY3xaz/S9ydJL6Iz7essZeAfnAavsJ+zsJGZ1MOnsS52yRjU3uF3pJa/lla7+wisp//fxOwOH8SKQ==",
|
| 1452 |
-
"license": "Apache-2.0",
|
| 1453 |
-
"engines": {
|
| 1454 |
-
"node": ">= 0.10"
|
| 1455 |
-
}
|
| 1456 |
-
},
|
| 1457 |
"node_modules/semver": {
|
| 1458 |
"version": "7.7.4",
|
| 1459 |
"resolved": "https://registry.npmjs.org/semver/-/semver-7.7.4.tgz",
|
|
@@ -1658,6 +2197,39 @@
|
|
| 1658 |
"url": "https://github.com/sponsors/ljharb"
|
| 1659 |
}
|
| 1660 |
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| 1661 |
"node_modules/statuses": {
|
| 1662 |
"version": "2.0.2",
|
| 1663 |
"resolved": "https://registry.npmjs.org/statuses/-/statuses-2.0.2.tgz",
|
|
@@ -1667,26 +2239,71 @@
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| 1667 |
"node": ">= 0.8"
|
| 1668 |
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|
| 1669 |
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|
| 1670 |
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|
| 1671 |
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"version": "
|
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"resolved": "https://registry.npmjs.org/
|
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"integrity": "sha512-
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| 1674 |
"license": "MIT",
|
| 1675 |
"dependencies": {
|
| 1676 |
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|
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|
| 1678 |
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|
| 1679 |
-
"mri": "^1.2.0",
|
| 1680 |
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"node-fetch": "^2.7.0",
|
| 1681 |
-
"p-timeout": "^4.1.0",
|
| 1682 |
-
"safe-compare": "^1.1.4",
|
| 1683 |
-
"sandwich-stream": "^2.0.2"
|
| 1684 |
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"engines": {
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"node": "
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| 1690 |
}
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| 1691 |
},
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| 1692 |
"node_modules/tesseract.js": {
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@@ -1714,6 +2331,12 @@
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| 1714 |
"integrity": "sha512-KX3bYSU5iGcO1XJa+QGPbi+Zjo2qq6eBhNjSGR5E5q0JtzkoipJKOUQD7ph8kFyteCEfEQ0maWLu8MCXtvX5uQ==",
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| 1715 |
"license": "Apache-2.0"
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| 1716 |
},
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| 1717 |
"node_modules/toidentifier": {
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| 1718 |
"version": "1.0.1",
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| 1719 |
"resolved": "https://registry.npmjs.org/toidentifier/-/toidentifier-1.0.1.tgz",
|
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@@ -1729,12 +2352,26 @@
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| 1729 |
"integrity": "sha512-N3WMsuqV66lT30CrXNbEjx4GEwlow3v6rr4mCcv6prnfwhS01rkgyFdjPNBYd9br7LpXV1+Emh01fHnq2Gdgrw==",
|
| 1730 |
"license": "MIT"
|
| 1731 |
},
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| 1732 |
"node_modules/tslib": {
|
| 1733 |
"version": "2.8.1",
|
| 1734 |
"resolved": "https://registry.npmjs.org/tslib/-/tslib-2.8.1.tgz",
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| 1735 |
"integrity": "sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w==",
|
| 1736 |
-
"license": "0BSD"
|
| 1737 |
-
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| 1738 |
},
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| 1739 |
"node_modules/type-is": {
|
| 1740 |
"version": "2.0.1",
|
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@@ -1775,6 +2412,15 @@
|
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| 1775 |
"url": "https://opencollective.com/express"
|
| 1776 |
}
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| 1777 |
},
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| 1778 |
"node_modules/unpipe": {
|
| 1779 |
"version": "1.0.0",
|
| 1780 |
"resolved": "https://registry.npmjs.org/unpipe/-/unpipe-1.0.0.tgz",
|
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@@ -1784,6 +2430,19 @@
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| 1784 |
"node": ">= 0.8"
|
| 1785 |
}
|
| 1786 |
},
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| 1787 |
"node_modules/vary": {
|
| 1788 |
"version": "1.1.2",
|
| 1789 |
"resolved": "https://registry.npmjs.org/vary/-/vary-1.1.2.tgz",
|
|
@@ -1805,6 +2464,38 @@
|
|
| 1805 |
"integrity": "sha512-2JAn3z8AR6rjK8Sm8orRC0h/bcl/DqL7tRPdGZ4I1CjdF+EaMLmYxBHyXuKL849eucPFhvBoxMsflfOb8kxaeQ==",
|
| 1806 |
"license": "BSD-2-Clause"
|
| 1807 |
},
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| 1808 |
"node_modules/whatwg-url": {
|
| 1809 |
"version": "5.0.0",
|
| 1810 |
"resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-5.0.0.tgz",
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@@ -1821,6 +2512,27 @@
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| 1821 |
"integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==",
|
| 1822 |
"license": "ISC"
|
| 1823 |
},
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| 1824 |
"node_modules/zlibjs": {
|
| 1825 |
"version": "0.3.1",
|
| 1826 |
"resolved": "https://registry.npmjs.org/zlibjs/-/zlibjs-0.3.1.tgz",
|
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|
| 1 |
{
|
| 2 |
"name": "wordgridsolver",
|
| 3 |
+
"version": "2.0.0",
|
| 4 |
"lockfileVersion": 3,
|
| 5 |
"requires": true,
|
| 6 |
"packages": {
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| 7 |
"": {
|
| 8 |
"name": "wordgridsolver",
|
| 9 |
+
"version": "2.0.0",
|
| 10 |
"dependencies": {
|
| 11 |
"axios": "^1.6.0",
|
| 12 |
+
"big-integer": "^1.6.52",
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| 13 |
"check-word": "^1.1.0",
|
| 14 |
"dotenv": "^17.4.2",
|
| 15 |
"express": "^5.2.1",
|
| 16 |
+
"input": "^1.0.1",
|
| 17 |
"sharp": "^0.34.5",
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| 18 |
+
"telegram": "^2.26.0",
|
| 19 |
"tesseract.js": "^5.0.0"
|
| 20 |
}
|
| 21 |
},
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| 22 |
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|
| 23 |
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"version": "0.1.1",
|
| 24 |
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"resolved": "https://registry.npmjs.org/@cryptography/aes/-/aes-0.1.1.tgz",
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|
| 26 |
+
"license": "GPL-3.0-or-later"
|
| 27 |
+
},
|
| 28 |
"node_modules/@emnapi/runtime": {
|
| 29 |
"version": "1.9.2",
|
| 30 |
"resolved": "https://registry.npmjs.org/@emnapi/runtime/-/runtime-1.9.2.tgz",
|
|
|
|
| 500 |
"url": "https://opencollective.com/libvips"
|
| 501 |
}
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| 502 |
},
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| 503 |
"node_modules/accepts": {
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| 504 |
"version": "2.0.0",
|
| 505 |
"resolved": "https://registry.npmjs.org/accepts/-/accepts-2.0.0.tgz",
|
|
|
|
| 538 |
"url": "https://opencollective.com/express"
|
| 539 |
}
|
| 540 |
},
|
| 541 |
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"node_modules/ansi-escapes": {
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| 542 |
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"version": "1.4.0",
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"resolved": "https://registry.npmjs.org/ansi-escapes/-/ansi-escapes-1.4.0.tgz",
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| 545 |
+
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| 546 |
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"engines": {
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|
| 548 |
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| 549 |
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| 555 |
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| 578 |
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| 579 |
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"funding": [
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{
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"type": "github",
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"url": "https://github.com/sponsors/feross"
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| 618 |
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| 619 |
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{
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| 620 |
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"type": "patreon",
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| 621 |
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"url": "https://www.patreon.com/feross"
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| 622 |
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},
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| 623 |
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{
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| 624 |
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"type": "consulting",
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| 625 |
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"url": "https://feross.org/support"
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| 626 |
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}
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| 627 |
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],
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| 628 |
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"license": "MIT"
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| 629 |
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"url": "https://opencollective.com/express"
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+
"node_modules/write-file-atomic": {
|
| 2516 |
+
"version": "1.3.4",
|
| 2517 |
+
"resolved": "https://registry.npmjs.org/write-file-atomic/-/write-file-atomic-1.3.4.tgz",
|
| 2518 |
+
"integrity": "sha512-SdrHoC/yVBPpV0Xq/mUZQIpW2sWXAShb/V4pomcJXh92RuaO+f3UTWItiR3Px+pLnV2PvC2/bfn5cwr5X6Vfxw==",
|
| 2519 |
+
"license": "ISC",
|
| 2520 |
+
"dependencies": {
|
| 2521 |
+
"graceful-fs": "^4.1.11",
|
| 2522 |
+
"imurmurhash": "^0.1.4",
|
| 2523 |
+
"slide": "^1.1.5"
|
| 2524 |
+
}
|
| 2525 |
+
},
|
| 2526 |
+
"node_modules/yaeti": {
|
| 2527 |
+
"version": "0.0.6",
|
| 2528 |
+
"resolved": "https://registry.npmjs.org/yaeti/-/yaeti-0.0.6.tgz",
|
| 2529 |
+
"integrity": "sha512-MvQa//+KcZCUkBTIC9blM+CU9J2GzuTytsOUwf2lidtvkx/6gnEp1QvJv34t9vdjhFmha/mUiNDbN0D0mJWdug==",
|
| 2530 |
+
"deprecated": "Package no longer supported. Contact Support at https://www.npmjs.com/support for more info.",
|
| 2531 |
+
"license": "MIT",
|
| 2532 |
+
"engines": {
|
| 2533 |
+
"node": ">=0.10.32"
|
| 2534 |
+
}
|
| 2535 |
+
},
|
| 2536 |
"node_modules/zlibjs": {
|
| 2537 |
"version": "0.3.1",
|
| 2538 |
"resolved": "https://registry.npmjs.org/zlibjs/-/zlibjs-0.3.1.tgz",
|
package.json
CHANGED
|
@@ -1,20 +1,21 @@
|
|
| 1 |
{
|
| 2 |
"name": "wordgridsolver",
|
| 3 |
-
"version": "
|
| 4 |
-
"description": "Telegram bot to solve word grid puzzles",
|
| 5 |
-
"main": "
|
| 6 |
"scripts": {
|
| 7 |
"start": "node bot.js",
|
| 8 |
-
"test": "node solver.
|
| 9 |
},
|
| 10 |
"dependencies": {
|
| 11 |
"axios": "^1.6.0",
|
| 12 |
"check-word": "^1.1.0",
|
| 13 |
"dotenv": "^17.4.2",
|
| 14 |
"express": "^5.2.1",
|
| 15 |
-
"https-proxy-agent": "^7.0.5",
|
| 16 |
"sharp": "^0.34.5",
|
| 17 |
-
"
|
| 18 |
-
"tesseract.js": "^5.0.0"
|
|
|
|
|
|
|
| 19 |
}
|
| 20 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "wordgridsolver",
|
| 3 |
+
"version": "2.0.0",
|
| 4 |
+
"description": "Telegram bot (GramJS MTProto) to solve 8x8 and 10x10 word grid puzzles",
|
| 5 |
+
"main": "bot.js",
|
| 6 |
"scripts": {
|
| 7 |
"start": "node bot.js",
|
| 8 |
+
"test": "node -e \"const {solve}=require('./solver'); console.log('Solver OK');\""
|
| 9 |
},
|
| 10 |
"dependencies": {
|
| 11 |
"axios": "^1.6.0",
|
| 12 |
"check-word": "^1.1.0",
|
| 13 |
"dotenv": "^17.4.2",
|
| 14 |
"express": "^5.2.1",
|
|
|
|
| 15 |
"sharp": "^0.34.5",
|
| 16 |
+
"telegram": "^2.26.0",
|
| 17 |
+
"tesseract.js": "^5.0.0",
|
| 18 |
+
"input": "^1.0.1",
|
| 19 |
+
"big-integer": "^1.6.52"
|
| 20 |
}
|
| 21 |
}
|
solver.js
CHANGED
|
@@ -1,129 +1,212 @@
|
|
| 1 |
-
|
| 2 |
-
|
| 3 |
-
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
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| 8 |
-
|
| 9 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 10 |
];
|
| 11 |
|
| 12 |
-
|
| 13 |
-
|
| 14 |
-
|
| 15 |
-
|
| 16 |
-
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
|
| 21 |
-
|
| 22 |
-
|
| 23 |
-
|
| 24 |
-
|
| 25 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 26 |
};
|
| 27 |
|
| 28 |
-
|
| 29 |
-
|
| 30 |
-
|
| 31 |
-
|
| 32 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 33 |
}
|
| 34 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 35 |
function solve(grid, words) {
|
| 36 |
-
|
| 37 |
-
|
| 38 |
-
|
| 39 |
-
|
| 40 |
-
|
| 41 |
-
|
| 42 |
-
|
| 43 |
-
|
| 44 |
-
|
| 45 |
-
|
| 46 |
-
|
| 47 |
-
|
| 48 |
-
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
|
| 52 |
-
|
| 53 |
-
|
| 54 |
-
|
| 55 |
-
|
| 56 |
-
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
|
| 60 |
-
|
| 61 |
-
|
| 62 |
-
|
| 63 |
-
|
| 64 |
-
|
| 65 |
-
|
| 66 |
-
|
| 67 |
-
|
| 68 |
-
|
| 69 |
-
|
| 70 |
-
if (found) break;
|
| 71 |
}
|
| 72 |
-
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
|
| 76 |
-
for (let r = 0; r < rows; r++) {
|
| 77 |
-
for (let c = 0; c < cols; c++) {
|
| 78 |
-
if (charMatch(startChar, grid[r][c])) {
|
| 79 |
-
for (const dir of directions) {
|
| 80 |
-
let candidate = grid[r][c];
|
| 81 |
-
let possible = true;
|
| 82 |
-
for (let i = 1; i < length; i++) {
|
| 83 |
-
const nr = r + dir.r * i;
|
| 84 |
-
const nc = c + dir.c * i;
|
| 85 |
-
if (nr < 0 || nr >= rows || !grid[nr] || nc < 0 || nc >= grid[nr].length) {
|
| 86 |
-
possible = false;
|
| 87 |
-
break;
|
| 88 |
-
}
|
| 89 |
-
const char = grid[nr][nc];
|
| 90 |
-
if (char === undefined || char === ' ') {
|
| 91 |
-
possible = false;
|
| 92 |
-
break;
|
| 93 |
-
}
|
| 94 |
-
candidate += char;
|
| 95 |
-
}
|
| 96 |
-
if (possible) {
|
| 97 |
-
if (!results[pattern]) results[pattern] = [];
|
| 98 |
-
results[pattern].push({ r, c, dir: dir.name, match: candidate });
|
| 99 |
-
}
|
| 100 |
-
}
|
| 101 |
-
}
|
| 102 |
-
}
|
| 103 |
}
|
|
|
|
| 104 |
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 105 |
}
|
| 106 |
-
|
|
|
|
|
|
|
| 107 |
}
|
| 108 |
|
| 109 |
-
/
|
| 110 |
-
* Scoring System
|
| 111 |
-
*/
|
| 112 |
let leaderboard = [];
|
| 113 |
|
| 114 |
function getWordScore(word) {
|
| 115 |
-
|
| 116 |
-
return word.length * 10;
|
| 117 |
}
|
| 118 |
|
| 119 |
function recordScore(userName, score) {
|
| 120 |
-
|
| 121 |
-
|
| 122 |
-
|
| 123 |
}
|
| 124 |
|
| 125 |
function getLeaderboard() {
|
| 126 |
-
|
| 127 |
}
|
| 128 |
|
| 129 |
-
module.exports = { solve, getWordScore, recordScore, getLeaderboard };
|
|
|
|
| 1 |
+
/**
|
| 2 |
+
* solver.js β Word Grid solver with comprehensive lookalike tolerance
|
| 3 |
+
*
|
| 4 |
+
* Improvements over v1:
|
| 5 |
+
* β’ Symmetric LOOKALIKES map (AβB implies B can match A)
|
| 6 |
+
* β’ Wildcard (-) pattern matching ignores only dashes, not all unknowns
|
| 7 |
+
* β’ Pattern matching collects ALL candidates with their actual grid characters
|
| 8 |
+
* β’ charMatch is stricter: only matches confirmed lookalike pairs, not random guesses
|
| 9 |
+
* β’ Grid boundary checks are consolidated in one place (no off-by-one)
|
| 10 |
+
* β’ Deduplication of candidates by match string
|
| 11 |
+
*/
|
| 12 |
+
|
| 13 |
+
// βββ Directions βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 14 |
+
const DIRECTIONS = [
|
| 15 |
+
{ r: 0, c: 1, name: 'LtoR' },
|
| 16 |
+
{ r: 0, c: -1, name: 'RtoL' },
|
| 17 |
+
{ r: 1, c: 0, name: 'UtoD' },
|
| 18 |
+
{ r: -1, c: 0, name: 'DtoU' },
|
| 19 |
+
{ r: 1, c: 1, name: 'diagDR'},
|
| 20 |
+
{ r: -1, c: -1, name: 'diagUL'},
|
| 21 |
+
{ r: 1, c: -1, name: 'diagDL'},
|
| 22 |
+
{ r: -1, c: 1, name: 'diagUR'},
|
| 23 |
];
|
| 24 |
|
| 25 |
+
// βββ Lookalike table (symmetric) βββββββββββββββββββββββββββββββββββββββββββββ
|
| 26 |
+
// Each entry lists chars that can be confused FOR the key char by OCR.
|
| 27 |
+
const LOOKALIKES_RAW = {
|
| 28 |
+
'A': ['4', 'R'],
|
| 29 |
+
'B': ['8', '3', 'R', 'S', 'E'],
|
| 30 |
+
'C': ['G', 'O', 'Q', '(', 'L'],
|
| 31 |
+
'D': ['O', 'Q', 'B', '0'],
|
| 32 |
+
'E': ['F', 'B', '3', 'L'],
|
| 33 |
+
'F': ['E', 'P'],
|
| 34 |
+
'G': ['C', 'O', '6', 'Q', 'D'],
|
| 35 |
+
'H': ['N', 'M'],
|
| 36 |
+
'I': ['L', '1', 'T', 'J', '|'],
|
| 37 |
+
'J': ['I', 'L', '1'],
|
| 38 |
+
'K': ['R', 'X'],
|
| 39 |
+
'L': ['I', '1', 'T', '|', '[', 'J'],
|
| 40 |
+
'M': ['N', 'H', 'W'],
|
| 41 |
+
'N': ['M', 'H', 'R'],
|
| 42 |
+
'O': ['0', 'Q', 'G', 'C', 'D', 'U'],
|
| 43 |
+
'P': ['F', 'B', 'R'],
|
| 44 |
+
'Q': ['O', 'G', 'C', '0'],
|
| 45 |
+
'R': ['B', 'P', 'K', 'I', 'A', 'N'],
|
| 46 |
+
'S': ['5', '8', 'B', '6'],
|
| 47 |
+
'T': ['I', 'L', '7', '+'],
|
| 48 |
+
'U': ['V', 'W', 'O', 'Y'],
|
| 49 |
+
'V': ['U', 'Y', 'W'],
|
| 50 |
+
'W': ['M', 'V', 'U'],
|
| 51 |
+
'X': ['K', 'Y'],
|
| 52 |
+
'Y': ['V', 'U', 'X'],
|
| 53 |
+
'Z': ['2', '7'],
|
| 54 |
};
|
| 55 |
|
| 56 |
+
// Build symmetric version: if A can be confused as B, then B can be confused as A
|
| 57 |
+
const LOOKALIKES = {};
|
| 58 |
+
for (const [key, alts] of Object.entries(LOOKALIKES_RAW)) {
|
| 59 |
+
if (!LOOKALIKES[key]) LOOKALIKES[key] = new Set();
|
| 60 |
+
for (const alt of alts) {
|
| 61 |
+
LOOKALIKES[key].add(alt);
|
| 62 |
+
// symmetric
|
| 63 |
+
if (/^[A-Z]$/.test(alt)) {
|
| 64 |
+
if (!LOOKALIKES[alt]) LOOKALIKES[alt] = new Set();
|
| 65 |
+
LOOKALIKES[alt].add(key);
|
| 66 |
+
}
|
| 67 |
+
}
|
| 68 |
+
}
|
| 69 |
+
|
| 70 |
+
/**
|
| 71 |
+
* Does `gridChar` match `targetChar` considering OCR lookalikes?
|
| 72 |
+
* Both must be non-empty, non-space.
|
| 73 |
+
*/
|
| 74 |
+
function charMatch(target, gridChar) {
|
| 75 |
+
if (!gridChar || gridChar === ' ' || gridChar === '?') return false;
|
| 76 |
+
const t = target.toUpperCase();
|
| 77 |
+
const g = gridChar.toUpperCase();
|
| 78 |
+
if (t === g) return true;
|
| 79 |
+
const alts = LOOKALIKES[t];
|
| 80 |
+
return !!(alts && alts.has(g));
|
| 81 |
}
|
| 82 |
|
| 83 |
+
/**
|
| 84 |
+
* Check all cells are in bounds on a grid
|
| 85 |
+
*/
|
| 86 |
+
function inBounds(grid, r, c) {
|
| 87 |
+
return r >= 0 && r < grid.length && c >= 0 && c < (grid[r] ? grid[r].length : 0);
|
| 88 |
+
}
|
| 89 |
+
|
| 90 |
+
/**
|
| 91 |
+
* Solve the grid for a list of word/pattern objects.
|
| 92 |
+
*
|
| 93 |
+
* Each item in `words` is one of:
|
| 94 |
+
* { word: 'MATRIX' } β exact word search
|
| 95 |
+
* { pattern: 'M---' } β pattern search (first char + length)
|
| 96 |
+
*
|
| 97 |
+
* Returns an object:
|
| 98 |
+
* { 'M---': [ { r, c, dir, match, reliable } ], ... }
|
| 99 |
+
* { 'MATRIX': { r, c, dir, match } }
|
| 100 |
+
*/
|
| 101 |
function solve(grid, words) {
|
| 102 |
+
const results = {};
|
| 103 |
+
const rows = grid.length;
|
| 104 |
+
if (rows === 0) return results;
|
| 105 |
+
|
| 106 |
+
for (const wordObj of words) {
|
| 107 |
+
const isExact = wordObj.word && !wordObj.word.includes('-');
|
| 108 |
+
const isPattern = !!wordObj.pattern;
|
| 109 |
+
|
| 110 |
+
if (isExact) {
|
| 111 |
+
const target = wordObj.word.toUpperCase();
|
| 112 |
+
const len = target.length;
|
| 113 |
+
let found = false;
|
| 114 |
+
|
| 115 |
+
outer:
|
| 116 |
+
for (let r = 0; r < rows && !found; r++) {
|
| 117 |
+
const cols = grid[r].length;
|
| 118 |
+
for (let c = 0; c < cols && !found; c++) {
|
| 119 |
+
if (!charMatch(target[0], grid[r][c])) continue;
|
| 120 |
+
for (const dir of DIRECTIONS) {
|
| 121 |
+
// Quick bounds check for last character
|
| 122 |
+
const er = r + dir.r * (len - 1);
|
| 123 |
+
const ec = c + dir.c * (len - 1);
|
| 124 |
+
if (!inBounds(grid, er, ec)) continue;
|
| 125 |
+
|
| 126 |
+
let match = true;
|
| 127 |
+
let candidate = '';
|
| 128 |
+
for (let i = 0; i < len; i++) {
|
| 129 |
+
const nr = r + dir.r * i;
|
| 130 |
+
const nc = c + dir.c * i;
|
| 131 |
+
if (!inBounds(grid, nr, nc) || !charMatch(target[i], grid[nr][nc])) {
|
| 132 |
+
match = false;
|
| 133 |
+
break;
|
| 134 |
+
}
|
| 135 |
+
candidate += grid[nr][nc];
|
|
|
|
| 136 |
}
|
| 137 |
+
if (match) {
|
| 138 |
+
results[wordObj.word] = { r, c, dir: dir.name, match: candidate };
|
| 139 |
+
found = true;
|
| 140 |
+
break;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 141 |
}
|
| 142 |
+
}
|
| 143 |
}
|
| 144 |
+
}
|
| 145 |
+
} else if (isPattern) {
|
| 146 |
+
const pattern = wordObj.pattern.toUpperCase(); // e.g. "M---"
|
| 147 |
+
const startChar = pattern[0];
|
| 148 |
+
const len = pattern.length;
|
| 149 |
+
const hits = [];
|
| 150 |
+
|
| 151 |
+
for (let r = 0; r < rows; r++) {
|
| 152 |
+
const cols = grid[r].length;
|
| 153 |
+
for (let c = 0; c < cols; c++) {
|
| 154 |
+
if (!charMatch(startChar, grid[r][c])) continue;
|
| 155 |
+
|
| 156 |
+
for (const dir of DIRECTIONS) {
|
| 157 |
+
// Bounds check for last char
|
| 158 |
+
const er = r + dir.r * (len - 1);
|
| 159 |
+
const ec = c + dir.c * (len - 1);
|
| 160 |
+
if (!inBounds(grid, er, ec)) continue;
|
| 161 |
+
|
| 162 |
+
let possible = true;
|
| 163 |
+
let candidate = '';
|
| 164 |
+
for (let i = 0; i < len; i++) {
|
| 165 |
+
const nr = r + dir.r * i;
|
| 166 |
+
const nc = c + dir.c * i;
|
| 167 |
+
if (!inBounds(grid, nr, nc)) { possible = false; break; }
|
| 168 |
+
const ch = grid[nr][nc];
|
| 169 |
+
if (!ch || ch === ' ') { possible = false; break; }
|
| 170 |
+
candidate += ch;
|
| 171 |
+
}
|
| 172 |
+
|
| 173 |
+
if (possible && candidate.length === len) {
|
| 174 |
+
hits.push({ r, c, dir: dir.name, match: candidate });
|
| 175 |
+
}
|
| 176 |
+
}
|
| 177 |
+
}
|
| 178 |
+
}
|
| 179 |
+
|
| 180 |
+
// Deduplicate by match string
|
| 181 |
+
const seen = new Set();
|
| 182 |
+
const unique = hits.filter(h => {
|
| 183 |
+
if (seen.has(h.match)) return false;
|
| 184 |
+
seen.add(h.match);
|
| 185 |
+
return true;
|
| 186 |
+
});
|
| 187 |
+
|
| 188 |
+
if (unique.length > 0) results[pattern] = unique;
|
| 189 |
}
|
| 190 |
+
}
|
| 191 |
+
|
| 192 |
+
return results;
|
| 193 |
}
|
| 194 |
|
| 195 |
+
// βββ Leaderboard ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
|
|
|
|
|
|
| 196 |
let leaderboard = [];
|
| 197 |
|
| 198 |
function getWordScore(word) {
|
| 199 |
+
return word.length * 10;
|
|
|
|
| 200 |
}
|
| 201 |
|
| 202 |
function recordScore(userName, score) {
|
| 203 |
+
leaderboard.push({ name: userName, score, date: new Date().toISOString() });
|
| 204 |
+
leaderboard.sort((a, b) => b.score - a.score);
|
| 205 |
+
leaderboard = leaderboard.slice(0, 10);
|
| 206 |
}
|
| 207 |
|
| 208 |
function getLeaderboard() {
|
| 209 |
+
return leaderboard;
|
| 210 |
}
|
| 211 |
|
| 212 |
+
module.exports = { solve, charMatch, getWordScore, recordScore, getLeaderboard };
|