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/*
* SPDX-FileCopyrightText: syuilo and misskey-project
* SPDX-License-Identifier: AGPL-3.0-only
*/
import * as fs from 'node:fs';
import { fileURLToPath } from 'node:url';
import { dirname } from 'node:path';
import { Injectable } from '@nestjs/common';
import * as nsfw from 'nsfwjs';
import si from 'systeminformation';
import { Mutex } from 'async-mutex';
import { bindThis } from '@/decorators.js';
const _filename = fileURLToPath(import.meta.url);
const _dirname = dirname(_filename);
const REQUIRED_CPU_FLAGS = ['avx2', 'fma'];
let isSupportedCpu: undefined | boolean = undefined;
@Injectable()
export class AiService {
private model: nsfw.NSFWJS;
private modelLoadMutex: Mutex = new Mutex();
constructor(
) {
}
@bindThis
public async detectSensitive(path: string): Promise<nsfw.predictionType[] | null> {
try {
if (isSupportedCpu === undefined) {
const cpuFlags = await this.getCpuFlags();
isSupportedCpu = REQUIRED_CPU_FLAGS.every(required => cpuFlags.includes(required));
}
if (!isSupportedCpu) {
console.error('This CPU cannot use TensorFlow.');
return null;
}
const tf = await import('@tensorflow/tfjs-node');
if (this.model == null) {
await this.modelLoadMutex.runExclusive(async () => {
if (this.model == null) {
this.model = await nsfw.load(`file://${_dirname}/../../nsfw-model/`, { size: 299 });
}
});
}
const buffer = await fs.promises.readFile(path);
const image = await tf.node.decodeImage(buffer, 3) as any;
try {
const predictions = await this.model.classify(image);
return predictions;
} finally {
image.dispose();
}
} catch (err) {
console.error(err);
return null;
}
}
@bindThis
private async getCpuFlags(): Promise<string[]> {
const str = await si.cpuFlags();
return str.split(/\s+/);
}
}
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