mirror of
https://github.com/misskey-dev/misskey.git
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* enhance(backend): bundle backend using rolldown
* fix
* fix [ci skip]
* remove unused build script
* fix
* enhance: 起動からlistenまでかかる時間を減らす (MisskeyIO#1410)
* ✌️
* fix
* update rolldown
* fix(backend): extract static error classes to avoid rolldown design:paramtypes omission
* update rolldown
* Revert "fix(backend): extract static error classes to avoid rolldown design:paramtypes omission"
This reverts commit e2243c9dc3.
* fix
* perf: avoid generating sourcemap in production
* fix
* fix
* fix
* fix paths
* fix
* fix
* fix
* fix
* fix
* enhance: バックエンドの開発サーバー制御をrolldown側で行うように
* remove nodemon
* Update Changelog
* tweak config
* fix
* fix
* fix
* clean up
---------
Co-authored-by: あわわわとーにゅ <17376330+u1-liquid@users.noreply.github.com>
Co-authored-by: bab <mashirohira@gmail.com>
95 lines
2.5 KiB
TypeScript
95 lines
2.5 KiB
TypeScript
/*
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* SPDX-FileCopyrightText: syuilo and misskey-project
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* SPDX-License-Identifier: AGPL-3.0-only
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*/
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import * as fs from 'node:fs';
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import { pathToFileURL } from 'node:url';
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import { resolve } from 'node:path';
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import { Injectable, Inject } from '@nestjs/common';
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import { Mutex } from 'async-mutex';
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import fetch from 'node-fetch';
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import { DI } from '@/di-symbols.js';
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import { bindThis } from '@/decorators.js';
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import type { Config } from '@/config.js';
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import type { NSFWJS, PredictionType } from 'nsfwjs/core';
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const REQUIRED_CPU_FLAGS_X64 = ['avx2', 'fma'];
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let isSupportedCpu: undefined | boolean = undefined;
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@Injectable()
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export class AiService {
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private readonly modelDir: string;
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private model: NSFWJS;
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private modelLoadMutex: Mutex = new Mutex();
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constructor(
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@Inject(DI.config)
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private config: Config,
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) {
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const md = resolve(this.config.rootDir, 'packages/backend/nsfw-model');
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this.modelDir = md.endsWith('/') ? md : md + '/';
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}
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@bindThis
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public async detectSensitive(source: string | Buffer): Promise<PredictionType[] | null> {
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try {
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if (isSupportedCpu === undefined) {
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isSupportedCpu = await this.computeIsSupportedCpu();
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}
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if (!isSupportedCpu) {
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console.error('This CPU cannot use TensorFlow.');
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return null;
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}
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const tf = await import('@tensorflow/tfjs-node');
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tf.env().global.fetch = fetch;
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if (this.model == null) {
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const nsfw = await import('nsfwjs/core');
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await this.modelLoadMutex.runExclusive(async () => {
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if (this.model == null) {
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this.model = await nsfw.load(pathToFileURL(this.modelDir).toString(), { size: 299 });
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}
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});
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}
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const buffer = source instanceof Buffer ? source : await fs.promises.readFile(source);
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const image = await tf.node.decodeImage(buffer, 3) as any;
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try {
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const predictions = await this.model.classify(image);
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return predictions;
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} finally {
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image.dispose();
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}
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} catch (err) {
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console.error(err);
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return null;
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}
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}
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private async computeIsSupportedCpu(): Promise<boolean> {
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switch (process.arch) {
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case 'x64': {
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const cpuFlags = await this.getCpuFlags();
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return REQUIRED_CPU_FLAGS_X64.every(required => cpuFlags.includes(required));
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}
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case 'arm64': {
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// As far as I know, no required CPU flags for ARM64.
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return true;
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}
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default: {
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return false;
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}
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}
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}
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@bindThis
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private async getCpuFlags(): Promise<string[]> {
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const si = await import('systeminformation');
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const str = await si.cpuFlags();
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return str.split(/\s+/);
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}
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}
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