382 lines
11 KiB
TypeScript
382 lines
11 KiB
TypeScript
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';
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import * as util from 'node:util';
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import { Inject, Injectable } from '@nestjs/common';
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import { FSWatcher } from 'chokidar';
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import { fileTypeFromFile } 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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const pipeline = util.promisify(stream.pipeline);
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export type FileInfo = {
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size: number;
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md5: string;
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type: {
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mime: string;
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ext: string | null;
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};
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width?: number;
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height?: number;
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orientation?: number;
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blurhash?: string;
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sensitive: boolean;
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porn: boolean;
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warnings: string[];
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};
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const TYPE_OCTET_STREAM = {
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mime: 'application/octet-stream',
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ext: null,
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};
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const TYPE_SVG = {
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mime: 'image/svg+xml',
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ext: 'svg',
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};
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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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/**
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* Get file information
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*/
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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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enableSensitiveMediaDetectionForVideos?: boolean;
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}): Promise<FileInfo> {
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const warnings = [] as string[];
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const size = await this.getFileSize(path);
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const md5 = await this.calcHash(path);
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let type = await this.detectType(path);
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// image dimensions
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let width: number | undefined;
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let height: number | undefined;
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let orientation: number | undefined;
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if (['image/jpeg', 'image/gif', 'image/png', 'image/apng', 'image/webp', 'image/bmp', 'image/tiff', 'image/svg+xml', 'image/vnd.adobe.photoshop'].includes(type.mime)) {
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const imageSize = await this.detectImageSize(path).catch(e => {
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warnings.push(`detectImageSize failed: ${e}`);
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return undefined;
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});
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// うまく判定できない画像は octet-stream にする
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if (!imageSize) {
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warnings.push('cannot detect image dimensions');
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type = TYPE_OCTET_STREAM;
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} else if (imageSize.wUnits === 'px') {
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width = imageSize.width;
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height = imageSize.height;
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orientation = imageSize.orientation;
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// 制限を超えている画像は octet-stream にする
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if (imageSize.width > 16383 || imageSize.height > 16383) {
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warnings.push('image dimensions exceeds limits');
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type = TYPE_OCTET_STREAM;
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}
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} else {
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warnings.push(`unsupported unit type: ${imageSize.wUnits}`);
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}
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}
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let blurhash: string | undefined;
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if (['image/jpeg', 'image/gif', 'image/png', 'image/apng', 'image/webp', 'image/svg+xml'].includes(type.mime)) {
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blurhash = await this.getBlurhash(path).catch(e => {
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warnings.push(`getBlurhash failed: ${e}`);
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return undefined;
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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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return {
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size,
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md5,
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type,
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width,
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height,
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orientation,
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blurhash,
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sensitive,
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porn,
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warnings,
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};
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}
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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 (['image/jpeg', 'image/png', 'image/webp'].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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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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/**
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* Detect MIME Type and extension
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*/
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public async detectType(path: string): Promise<{
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mime: string;
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ext: string | null;
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}> {
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// Check 0 byte
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const fileSize = await this.getFileSize(path);
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if (fileSize === 0) {
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return TYPE_OCTET_STREAM;
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}
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const type = await fileTypeFromFile(path);
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if (type) {
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// XMLはSVGかもしれない
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if (type.mime === 'application/xml' && await this.checkSvg(path)) {
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return TYPE_SVG;
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}
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return {
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mime: type.mime,
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ext: type.ext,
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};
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}
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// 種類が不明でもSVGかもしれない
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if (await this.checkSvg(path)) {
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return TYPE_SVG;
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}
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// それでも種類が不明なら application/octet-stream にする
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return TYPE_OCTET_STREAM;
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}
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/**
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* Check the file is SVG or not
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*/
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public async checkSvg(path: string) {
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try {
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const size = await this.getFileSize(path);
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if (size > 1 * 1024 * 1024) return false;
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return isSvg(fs.readFileSync(path));
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} catch {
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return false;
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}
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}
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/**
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* Get file size
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*/
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public async getFileSize(path: string): Promise<number> {
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const getStat = util.promisify(fs.stat);
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return (await getStat(path)).size;
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}
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/**
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* Calculate MD5 hash
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*/
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private async calcHash(path: string): Promise<string> {
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const hash = crypto.createHash('md5').setEncoding('hex');
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await pipeline(fs.createReadStream(path), hash);
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return hash.read();
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}
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/**
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* Detect dimensions of image
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*/
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private async detectImageSize(path: string): Promise<{
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width: number;
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height: number;
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wUnits: string;
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hUnits: string;
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orientation?: number;
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}> {
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const readable = fs.createReadStream(path);
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const imageSize = await probeImageSize(readable);
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readable.destroy();
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return imageSize;
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}
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/**
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* Calculate average color of image
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*/
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private getBlurhash(path: string): Promise<string> {
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return new Promise((resolve, reject) => {
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sharp(path)
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.raw()
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.ensureAlpha()
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.resize(64, 64, { fit: 'inside' })
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.toBuffer((err, buffer, { width, height }) => {
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if (err) return reject(err);
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let hash;
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try {
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hash = encode(new Uint8ClampedArray(buffer), width, height, 7, 7);
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} catch (e) {
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return reject(e);
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}
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resolve(hash);
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});
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});
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}
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}
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