upd: rip out AiService
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ShittyKopper
parent
08de1f7baa
commit
2eda00d9b9
14 changed files with 80 additions and 816 deletions
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@ -5,19 +5,13 @@
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import * as fs from 'node:fs';
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import * as crypto from 'node:crypto';
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import { join } from 'node:path';
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import * as stream from 'node:stream/promises';
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import { Injectable } from '@nestjs/common';
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import { FSWatcher } from 'chokidar';
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import * as fileType from 'file-type';
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import FFmpeg from 'fluent-ffmpeg';
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import isSvg from 'is-svg';
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import probeImageSize from 'probe-image-size';
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import { type predictionType } from 'nsfwjs';
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import sharp from 'sharp';
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import { encode } from 'blurhash';
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import { createTempDir } from '@/misc/create-temp.js';
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import { AiService } from '@/core/AiService.js';
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import { bindThis } from '@/decorators.js';
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export type FileInfo = {
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@ -49,7 +43,6 @@ const TYPE_SVG = {
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@Injectable()
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export class FileInfoService {
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constructor(
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private aiService: AiService,
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) {
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}
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@ -57,7 +50,8 @@ export class FileInfoService {
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* Get file information
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*/
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@bindThis
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public async getFileInfo(path: string, opts: {
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// eslint-disable-next-line @typescript-eslint/no-unused-vars
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public async getFileInfo(path: string, _opts: {
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skipSensitiveDetection: boolean;
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sensitiveThreshold?: number;
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sensitiveThresholdForPorn?: number;
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@ -128,22 +122,8 @@ export class FileInfoService {
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});
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}
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let sensitive = false;
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let porn = false;
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if (!opts.skipSensitiveDetection) {
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await this.detectSensitivity(
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path,
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type.mime,
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opts.sensitiveThreshold ?? 0.5,
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opts.sensitiveThresholdForPorn ?? 0.75,
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opts.enableSensitiveMediaDetectionForVideos ?? false,
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).then(value => {
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[sensitive, porn] = value;
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}, error => {
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warnings.push(`detectSensitivity failed: ${error}`);
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});
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}
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const sensitive = false;
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const porn = false;
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return {
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size,
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@ -159,150 +139,6 @@ export class FileInfoService {
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};
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}
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@bindThis
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private async detectSensitivity(source: string, mime: string, sensitiveThreshold: number, sensitiveThresholdForPorn: number, analyzeVideo: boolean): Promise<[sensitive: boolean, porn: boolean]> {
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let sensitive = false;
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let porn = false;
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function judgePrediction(result: readonly predictionType[]): [sensitive: boolean, porn: boolean] {
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let sensitive = false;
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let porn = false;
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if ((result.find(x => x.className === 'Sexy')?.probability ?? 0) > sensitiveThreshold) sensitive = true;
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if ((result.find(x => x.className === 'Hentai')?.probability ?? 0) > sensitiveThreshold) sensitive = true;
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if ((result.find(x => x.className === 'Porn')?.probability ?? 0) > sensitiveThreshold) sensitive = true;
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if ((result.find(x => x.className === 'Porn')?.probability ?? 0) > sensitiveThresholdForPorn) porn = true;
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return [sensitive, porn];
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}
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if ([
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'image/jpeg',
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'image/png',
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'image/webp',
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].includes(mime)) {
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const result = await this.aiService.detectSensitive(source);
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if (result) {
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[sensitive, porn] = judgePrediction(result);
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}
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} else if (analyzeVideo && (mime === 'image/apng' || mime.startsWith('video/'))) {
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const [outDir, disposeOutDir] = await createTempDir();
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try {
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const command = FFmpeg()
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.input(source)
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.inputOptions([
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'-skip_frame', 'nokey', // 可能ならキーフレームのみを取得してほしいとする（そうなるとは限らない）
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'-lowres', '3', // 元の画質でデコードする必要はないので 1/8 画質でデコードしてもよいとする（そうなるとは限らない）
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])
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.noAudio()
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.videoFilters([
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{
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filter: 'select', // フレームのフィルタリング
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options: {
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e: 'eq(pict_type,PICT_TYPE_I)', // I-Frame のみをフィルタする（VP9 とかはデコードしてみないとわからないっぽい）
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},
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},
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{
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filter: 'blackframe', // 暗いフレームの検出
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options: {
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amount: '0', // 暗さに関わらず全てのフレームで測定値を取る
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},
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},
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{
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filter: 'metadata',
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options: {
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mode: 'select', // フレーム選択モード
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key: 'lavfi.blackframe.pblack', // フレームにおける暗部の百分率（前のフィルタからのメタデータを参照する）
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value: '50',
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function: 'less', // 50% 未満のフレームを選択する（50% 以上暗部があるフレームだと誤検知を招くかもしれないので）
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},
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},
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{
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filter: 'scale',
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options: {
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w: 299,
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h: 299,
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},
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},
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])
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.format('image2')
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.output(join(outDir, '%d.png'))
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.outputOptions(['-vsync', '0']); // 可変フレームレートにすることで穴埋めをさせない
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const results: ReturnType<typeof judgePrediction>[] = [];
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let frameIndex = 0;
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let targetIndex = 0;
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let nextIndex = 1;
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for await (const path of this.asyncIterateFrames(outDir, command)) {
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try {
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const index = frameIndex++;
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if (index !== targetIndex) {
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continue;
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}
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targetIndex = nextIndex;
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nextIndex += index; // fibonacci sequence によってフレーム数制限を掛ける
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const result = await this.aiService.detectSensitive(path);
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if (result) {
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results.push(judgePrediction(result));
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}
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} finally {
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fs.promises.unlink(path);
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}
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}
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sensitive = results.filter(x => x[0]).length >= Math.ceil(results.length * sensitiveThreshold);
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porn = results.filter(x => x[1]).length >= Math.ceil(results.length * sensitiveThresholdForPorn);
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} finally {
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disposeOutDir();
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}
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}
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return [sensitive, porn];
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}
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private async *asyncIterateFrames(cwd: string, command: FFmpeg.FfmpegCommand): AsyncGenerator<string, void> {
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const watcher = new FSWatcher({
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cwd,
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disableGlobbing: true,
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});
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let finished = false;
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command.once('end', () => {
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finished = true;
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watcher.close();
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});
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command.run();
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for (let i = 1; true; i++) { // eslint-disable-line @typescript-eslint/no-unnecessary-condition
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const current = `${i}.png`;
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const next = `${i + 1}.png`;
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const framePath = join(cwd, current);
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if (await this.exists(join(cwd, next))) {
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yield framePath;
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} else if (!finished) { // eslint-disable-line @typescript-eslint/no-unnecessary-condition
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watcher.add(next);
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await new Promise<void>((resolve, reject) => {
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watcher.on('add', function onAdd(path) {
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if (path === next) { // 次フレームの書き出しが始まっているなら、現在フレームの書き出しは終わっている
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watcher.unwatch(current);
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watcher.off('add', onAdd);
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resolve();
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}
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});
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command.once('end', resolve); // 全てのフレームを処理し終わったなら、最終フレームである現在フレームの書き出しは終わっている
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command.once('error', reject);
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});
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yield framePath;
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} else if (await this.exists(framePath)) {
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yield framePath;
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} else {
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return;
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}
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}
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}
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@bindThis
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private exists(path: string): Promise<boolean> {
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return fs.promises.access(path).then(() => true, () => false);
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}
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@bindThis
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public fixMime(mime: string | fileType.MimeType): string {
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// see https://github.com/misskey-dev/misskey/pull/10686
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