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feat: Vote annoucements, and storage of topgg votes in db
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,58 +1,17 @@ | ||
| import http from 'http'; | ||
| import { node } from '@tensorflow/tfjs-node'; | ||
| import { load } from 'nsfwjs'; | ||
| import { VoteManager } from '../managers/VoteManager.js'; | ||
| import Logger from '../utils/Logger.js'; | ||
| import { captureException } from '@sentry/node'; | ||
| import express from 'express'; | ||
| import dblRoute from './routes/dbl.js'; | ||
| import nsfwRouter from './routes/nsfw.js'; | ||
|
|
||
| const model = await load(); | ||
| const port = 3000; | ||
| // to start the server | ||
| export const startApi = (data: { voteManager: VoteManager }) => { | ||
| const app = express(); | ||
|
|
||
| export default function start() { | ||
| const server = http.createServer(async (req, res) => { | ||
| if (req.method === 'GET' && req.url?.startsWith('/nsfw')) { | ||
| const url = new URL(req.url, `http://${req.headers.host}`); | ||
| const imageUrl = url.searchParams.get('url'); | ||
| app.use(express.json()); | ||
| app.use(express.urlencoded({ extended: true })); | ||
| app.use(nsfwRouter); | ||
| if (data.voteManager) app.use(dblRoute(data.voteManager)); | ||
|
|
||
| if (!imageUrl || typeof imageUrl !== 'string') { | ||
| res.writeHead(400, { 'Content-Type': 'application/json' }); | ||
| res.end(JSON.stringify({ error: 'Missing url query parameter.' })); | ||
| return; | ||
| } | ||
|
|
||
| const regex = /\bhttps?:\/\/\S+?\.(?:png|jpe?g)(?:\?\S+)?\b/; | ||
| if (!regex.test(imageUrl)) { | ||
| res.writeHead(400, { 'Content-Type': 'application/json' }); | ||
| res.end( | ||
| JSON.stringify({ | ||
| error: 'Invalid url parameter. Must be a valid PNG, JPG, or JPEG image URL.', | ||
| }), | ||
| ); | ||
| return; | ||
| } | ||
|
|
||
| try { | ||
| const imageBuffer = await (await fetch(imageUrl)).arrayBuffer(); | ||
| const imageTensor = (await node.decodeImage(Buffer.from(imageBuffer), 3)) as any; // eslint-disable-line @typescript-eslint/no-explicit-any | ||
| const predictions = await model.classify(imageTensor); | ||
| imageTensor.dispose(); | ||
|
|
||
| res.writeHead(200, { 'Content-Type': 'application/json' }); | ||
| res.end(JSON.stringify(predictions)); | ||
| } | ||
| catch (error) { | ||
| Logger.error(error); | ||
| captureException(error); | ||
| res.writeHead(500, { 'Content-Type': 'text/plain' }); | ||
| res.end('500 Internal Server Error'); | ||
| } | ||
| } | ||
| else { | ||
| res.writeHead(404, { 'Content-Type': 'text/plain' }); | ||
| res.end('Why the hell are we even here? This is a 404.'); | ||
| } | ||
| }); | ||
|
|
||
| server.listen(port, () => { | ||
| Logger.info(`API listening on port http://localhost:${port}.`); | ||
| }); | ||
| } | ||
| app.listen(443, () => Logger.info('API listening on port http://localhost:443.')); | ||
| }; |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,19 @@ | ||
| import { Webhook } from '@top-gg/sdk'; | ||
| import { Router } from 'express'; | ||
| import { VoteManager } from '../../managers/VoteManager.js'; | ||
|
|
||
| // NOTE: testing this against top.gg only works in the production server | ||
| // to test locally use postman or something similar to send a POST request to http://localhost:443/dbl | ||
| const router: Router = Router(); | ||
| const TopggWebhook = new Webhook(process.env.TOPGG_AUTH); | ||
|
|
||
| export default (voteManager: VoteManager) => { | ||
| router.post( | ||
| '/dbl', | ||
| TopggWebhook.listener((vote) => { | ||
| // emit the vote event to use in other files | ||
| voteManager?.emit('vote', vote); | ||
| }), | ||
| ); | ||
| return router; | ||
| }; |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,48 @@ | ||
| import { load } from 'nsfwjs'; | ||
| import { Router } from 'express'; | ||
| import { captureException } from '@sentry/node'; | ||
| import { node } from '@tensorflow/tfjs-node'; | ||
| import Logger from '../../utils/Logger.js'; | ||
|
|
||
| const nsfwModel = await load(); | ||
| const router: Router = Router(); | ||
|
|
||
| router.get('/nsfw', async (req, res) => { | ||
| const url = new URL(req.url, `http://${req.headers.host}`); | ||
| const imageUrl = url.searchParams.get('url'); | ||
|
|
||
| if (!imageUrl || typeof imageUrl !== 'string') { | ||
| res.writeHead(400, { 'Content-Type': 'application/json' }); | ||
| res.end(JSON.stringify({ error: 'Missing url query parameter.' })); | ||
| return; | ||
| } | ||
|
|
||
| const regex = /\bhttps?:\/\/\S+?\.(?:png|jpe?g)(?:\?\S+)?\b/; | ||
| if (!regex.test(imageUrl)) { | ||
| res.writeHead(400, { 'Content-Type': 'application/json' }); | ||
| res.end( | ||
| JSON.stringify({ | ||
| error: 'Invalid url parameter. Must be a valid PNG, JPG, or JPEG image URL.', | ||
| }), | ||
| ); | ||
| return; | ||
| } | ||
|
|
||
| try { | ||
| const imageBuffer = await (await fetch(imageUrl)).arrayBuffer(); | ||
| const imageTensor = (await node.decodeImage(Buffer.from(imageBuffer), 3)) as any; // eslint-disable-line @typescript-eslint/no-explicit-any | ||
| const predictions = await nsfwModel.classify(imageTensor); | ||
| imageTensor.dispose(); | ||
|
|
||
| res.writeHead(200, { 'Content-Type': 'application/json' }); | ||
| res.end(JSON.stringify(predictions)); | ||
| } | ||
| catch (error) { | ||
| Logger.error(error); | ||
| captureException(error); | ||
| res.writeHead(500, { 'Content-Type': 'text/plain' }); | ||
| res.end('500 Internal Server Error'); | ||
| } | ||
| }); | ||
|
|
||
| export default router; |
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