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mirror of https://github.com/kokonect-link/cherrypick synced 2024-11-23 14:46:44 +09:00

feat: auto nsfw detection (#8840)

* feat: auto nsfw detection

* ✌️

* Update ja-JP.yml

* Update ja-JP.yml

* ポルノ判定のしきい値を高めに

* エラーハンドリングちゃんとした

* Update ja-JP.yml

* 感度設定を強化

* refactor

* feat: add video support for auto nsfw detection

* rename: image -> media

* .js

* fix: add missing error handling

* fix: use valid pathname instead of using filename due to invalid usage

* perf(nsfw-detection): decode frames

* disable detection of video for some reasons

* perf(nsfw-detection): streamify detection process for video

* disable disallowUploadWhenPredictedAsPorn option

* fix(nsfw-detection): improve reliability

* fix(nsfw-detection): use Math.ceil instead of Math.round

* perf(nsfw-detection): delete tmp frames after used

* fix(nsfw-detection): FSWatcher does not emit ready event

* perf(nsfw-detection): skip black frames

* refactor: strip exists check

* Update package.json

* めっちゃ変えた

* lint

* Update COPYING

* オプションで動画解析できるように

* Update yarn.lock

* Update CHANGELOG.md

Co-authored-by: Acid Chicken (硫酸鶏) <root@acid-chicken.com>
This commit is contained in:
syuilo 2022-07-07 21:06:37 +09:00 committed by GitHub
parent 010db2515c
commit e560601815
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39 changed files with 1275 additions and 78 deletions

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@ -11,6 +11,9 @@ You should also include the user name that made the change.
## 12.x.x (unreleased)
### Known issues
- 現在arm64環境ではインストールに失敗します。これは次のバージョンで修正される予定です。
### Changes
- ハイライトがみつけるに統合されました
- カスタム絵文字ページはインスタンス情報ページに統合されました
@ -18,6 +21,7 @@ You should also include the user name that made the change.
### Improvements
- Server: Allow GET method for some endpoints @syuilo
- Server: Auto NSFW detection @syuilo
- Server: Add rate limit to i/notifications @tamaina
- Client: Improve control panel @syuilo
- Client: Show warning in control panel when there is an unresolved abuse report @syuilo

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@ -1,5 +1,5 @@
Unless otherwise stated this repository is
Copyright © 2014-2020 syuilo and contributers
Copyright © 2014-2022 syuilo and contributers
And is distributed under The GNU Affero General Public License Version 3, you should have received a copy of the license file as LICENSE.
@ -13,3 +13,7 @@ https://github.com/muan/emojilib/blob/master/LICENSE
RsaSignature2017 implementation by Transmute Industries Inc
License: MIT
https://github.com/transmute-industries/RsaSignature2017/blob/master/LICENSE
Machine learning model for sensitive images by Infinite Red, Inc.
License: MIT
https://github.com/infinitered/nsfwjs/blob/master/LICENSE

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@ -877,6 +877,24 @@ type: "タイプ"
speed: "速度"
slow: "遅い"
fast: "速い"
sensitiveMediaDetection: "センシティブなメディアの検出"
localOnly: "ローカルのみ"
remoteOnly: "リモートのみ"
failedToUpload: "アップロード失敗"
cannotUploadBecauseInappropriate: "不適切な内容を含む可能性があると判定されたためアップロードできません。"
cannotUploadBecauseNoFreeSpace: "ドライブの空き容量が無いためアップロードできません。"
beta: "ベータ"
enableAutoSensitive: "自動NSFW判定"
enableAutoSensitiveDescription: "利用可能な場合は、機械学習を利用して自動でメディアにNSFWフラグを設定します。この機能をオフにしても、インスタンスによっては自動で設定されることがあります。"
_sensitiveMediaDetection:
description: "機械学習を使って自動でセンシティブなメディアを検出し、モデレーションに役立てることができます。サーバーの負荷が少し増えます。"
sensitivity: "検出感度"
sensitivityDescription: "感度を低くすると、誤検知(偽陽性)が減ります。感度を高くすると、検知漏れ(偽陰性)が減ります。"
setSensitiveFlagAutomatically: "NSFWフラグを設定する"
setSensitiveFlagAutomaticallyDescription: "この設定をオフにしても内部的に判定結果は保持されます。"
analyzeVideos: "動画の解析を有効化"
analyzeVideosDescription: "静止画に加えて動画も解析するようにします。サーバーの負荷が少し増えます。"
_emailUnavailable:
used: "既に使用されています"

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@ -0,0 +1,23 @@
export class nsfwDetection1655368940105 {
name = 'nsfwDetection1655368940105'
async up(queryRunner) {
await queryRunner.query(`ALTER TABLE "drive_file" ADD "forceIsSensitive" boolean NOT NULL DEFAULT false`);
await queryRunner.query(`ALTER TABLE "drive_file" ADD "predictedIsSensitive" boolean NOT NULL DEFAULT false`);
await queryRunner.query(`COMMENT ON COLUMN "drive_file"."predictedIsSensitive" IS 'Whether the DriveFile is NSFW. (predict)'`);
await queryRunner.query(`CREATE TYPE "public"."meta_sensitiveimagedetection_enum" AS ENUM('none', 'all', 'local', 'remote')`);
await queryRunner.query(`ALTER TABLE "meta" ADD "sensitiveImageDetection" "public"."meta_sensitiveimagedetection_enum" NOT NULL DEFAULT 'none'`);
await queryRunner.query(`ALTER TABLE "meta" ADD "forceIsSensitiveWhenPredicted" boolean NOT NULL DEFAULT true`);
await queryRunner.query(`CREATE INDEX "IDX_fc2d74a6d7d8b11292a851d8f8" ON "drive_file" ("predictedIsSensitive") `);
}
async down(queryRunner) {
await queryRunner.query(`DROP INDEX "public"."IDX_fc2d74a6d7d8b11292a851d8f8"`);
await queryRunner.query(`ALTER TABLE "meta" DROP COLUMN "forceIsSensitiveWhenPredicted"`);
await queryRunner.query(`ALTER TABLE "meta" DROP COLUMN "sensitiveImageDetection"`);
await queryRunner.query(`DROP TYPE "public"."meta_sensitiveimagedetection_enum"`);
await queryRunner.query(`COMMENT ON COLUMN "drive_file"."predictedIsSensitive" IS 'Whether the DriveFile is NSFW. (predict)'`);
await queryRunner.query(`ALTER TABLE "drive_file" DROP COLUMN "predictedIsSensitive"`);
await queryRunner.query(`ALTER TABLE "drive_file" DROP COLUMN "forceIsSensitive"`);
}
}

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@ -0,0 +1,15 @@
export class nsfwDetection21655371960534 {
name = 'nsfwDetection21655371960534'
async up(queryRunner) {
await queryRunner.query(`CREATE TYPE "public"."meta_sensitiveimagedetectionsensitivity_enum" AS ENUM('medium', 'low', 'high')`);
await queryRunner.query(`ALTER TABLE "meta" ADD "sensitiveImageDetectionSensitivity" "public"."meta_sensitiveimagedetectionsensitivity_enum" NOT NULL DEFAULT 'medium'`);
await queryRunner.query(`ALTER TABLE "meta" ADD "disallowUploadWhenPredictedAsPorn" boolean NOT NULL DEFAULT false`);
}
async down(queryRunner) {
await queryRunner.query(`ALTER TABLE "meta" DROP COLUMN "disallowUploadWhenPredictedAsPorn"`);
await queryRunner.query(`ALTER TABLE "meta" DROP COLUMN "sensitiveImageDetectionSensitivity"`);
await queryRunner.query(`DROP TYPE "public"."meta_sensitiveimagedetectionsensitivity_enum"`);
}
}

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@ -0,0 +1,21 @@
export class nsfwDetection31655388169582 {
name = 'nsfwDetection31655388169582'
async up(queryRunner) {
await queryRunner.query(`ALTER TYPE "public"."meta_sensitiveimagedetectionsensitivity_enum" RENAME TO "meta_sensitiveimagedetectionsensitivity_enum_old"`);
await queryRunner.query(`CREATE TYPE "public"."meta_sensitiveimagedetectionsensitivity_enum" AS ENUM('medium', 'low', 'high', 'veryLow', 'veryHigh')`);
await queryRunner.query(`ALTER TABLE "meta" ALTER COLUMN "sensitiveImageDetectionSensitivity" DROP DEFAULT`);
await queryRunner.query(`ALTER TABLE "meta" ALTER COLUMN "sensitiveImageDetectionSensitivity" TYPE "public"."meta_sensitiveimagedetectionsensitivity_enum" USING "sensitiveImageDetectionSensitivity"::"text"::"public"."meta_sensitiveimagedetectionsensitivity_enum"`);
await queryRunner.query(`ALTER TABLE "meta" ALTER COLUMN "sensitiveImageDetectionSensitivity" SET DEFAULT 'medium'`);
await queryRunner.query(`DROP TYPE "public"."meta_sensitiveimagedetectionsensitivity_enum_old"`);
}
async down(queryRunner) {
await queryRunner.query(`CREATE TYPE "public"."meta_sensitiveimagedetectionsensitivity_enum_old" AS ENUM('medium', 'low', 'high')`);
await queryRunner.query(`ALTER TABLE "meta" ALTER COLUMN "sensitiveImageDetectionSensitivity" DROP DEFAULT`);
await queryRunner.query(`ALTER TABLE "meta" ALTER COLUMN "sensitiveImageDetectionSensitivity" TYPE "public"."meta_sensitiveimagedetectionsensitivity_enum_old" USING "sensitiveImageDetectionSensitivity"::"text"::"public"."meta_sensitiveimagedetectionsensitivity_enum_old"`);
await queryRunner.query(`ALTER TABLE "meta" ALTER COLUMN "sensitiveImageDetectionSensitivity" SET DEFAULT 'medium'`);
await queryRunner.query(`DROP TYPE "public"."meta_sensitiveimagedetectionsensitivity_enum"`);
await queryRunner.query(`ALTER TYPE "public"."meta_sensitiveimagedetectionsensitivity_enum_old" RENAME TO "meta_sensitiveimagedetectionsensitivity_enum"`);
}
}

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@ -0,0 +1,25 @@
export class nsfwDetection41655393015659 {
name = 'nsfwDetection41655393015659'
async up(queryRunner) {
await queryRunner.query(`ALTER TABLE "meta" DROP COLUMN "sensitiveImageDetection"`);
await queryRunner.query(`DROP TYPE "public"."meta_sensitiveimagedetection_enum"`);
await queryRunner.query(`ALTER TABLE "meta" DROP COLUMN "sensitiveImageDetectionSensitivity"`);
await queryRunner.query(`DROP TYPE "public"."meta_sensitiveimagedetectionsensitivity_enum"`);
await queryRunner.query(`CREATE TYPE "public"."meta_sensitivemediadetection_enum" AS ENUM('none', 'all', 'local', 'remote')`);
await queryRunner.query(`ALTER TABLE "meta" ADD "sensitiveMediaDetection" "public"."meta_sensitivemediadetection_enum" NOT NULL DEFAULT 'none'`);
await queryRunner.query(`CREATE TYPE "public"."meta_sensitivemediadetectionsensitivity_enum" AS ENUM('medium', 'low', 'high', 'veryLow', 'veryHigh')`);
await queryRunner.query(`ALTER TABLE "meta" ADD "sensitiveMediaDetectionSensitivity" "public"."meta_sensitivemediadetectionsensitivity_enum" NOT NULL DEFAULT 'medium'`);
}
async down(queryRunner) {
await queryRunner.query(`ALTER TABLE "meta" DROP COLUMN "sensitiveMediaDetectionSensitivity"`);
await queryRunner.query(`DROP TYPE "public"."meta_sensitivemediadetectionsensitivity_enum"`);
await queryRunner.query(`ALTER TABLE "meta" DROP COLUMN "sensitiveMediaDetection"`);
await queryRunner.query(`DROP TYPE "public"."meta_sensitivemediadetection_enum"`);
await queryRunner.query(`CREATE TYPE "public"."meta_sensitiveimagedetectionsensitivity_enum" AS ENUM('medium', 'low', 'high', 'veryLow', 'veryHigh')`);
await queryRunner.query(`ALTER TABLE "meta" ADD "sensitiveImageDetectionSensitivity" "public"."meta_sensitiveimagedetectionsensitivity_enum" NOT NULL DEFAULT 'medium'`);
await queryRunner.query(`CREATE TYPE "public"."meta_sensitiveimagedetection_enum" AS ENUM('none', 'all', 'local', 'remote')`);
await queryRunner.query(`ALTER TABLE "meta" ADD "sensitiveImageDetection" "public"."meta_sensitiveimagedetection_enum" NOT NULL DEFAULT 'none'`);
}
}

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@ -0,0 +1,33 @@
export class nsfwDetection51656251734807 {
name = 'nsfwDetection51656251734807'
async up(queryRunner) {
await queryRunner.query(`DROP INDEX "public"."IDX_fc2d74a6d7d8b11292a851d8f8"`);
await queryRunner.query(`ALTER TABLE "drive_file" DROP COLUMN "forceIsSensitive"`);
await queryRunner.query(`ALTER TABLE "drive_file" DROP COLUMN "predictedIsSensitive"`);
await queryRunner.query(`ALTER TABLE "meta" DROP COLUMN "forceIsSensitiveWhenPredicted"`);
await queryRunner.query(`ALTER TABLE "meta" DROP COLUMN "disallowUploadWhenPredictedAsPorn"`);
await queryRunner.query(`ALTER TABLE "drive_file" ADD "maybeSensitive" boolean NOT NULL DEFAULT false`);
await queryRunner.query(`COMMENT ON COLUMN "drive_file"."maybeSensitive" IS 'Whether the DriveFile is NSFW. (predict)'`);
await queryRunner.query(`ALTER TABLE "drive_file" ADD "maybePorn" boolean NOT NULL DEFAULT false`);
await queryRunner.query(`ALTER TABLE "meta" ADD "setSensitiveFlagAutomatically" boolean NOT NULL DEFAULT false`);
await queryRunner.query(`ALTER TABLE "user_profile" ADD "autoSensitive" boolean NOT NULL DEFAULT false`);
await queryRunner.query(`CREATE INDEX "IDX_3b33dff77bb64b23c88151d23e" ON "drive_file" ("maybeSensitive") `);
await queryRunner.query(`CREATE INDEX "IDX_8bdcd3dd2bddb78014999a16ce" ON "drive_file" ("maybePorn") `);
}
async down(queryRunner) {
await queryRunner.query(`DROP INDEX "public"."IDX_8bdcd3dd2bddb78014999a16ce"`);
await queryRunner.query(`DROP INDEX "public"."IDX_3b33dff77bb64b23c88151d23e"`);
await queryRunner.query(`ALTER TABLE "user_profile" DROP COLUMN "autoSensitive"`);
await queryRunner.query(`ALTER TABLE "meta" DROP COLUMN "setSensitiveFlagAutomatically"`);
await queryRunner.query(`ALTER TABLE "drive_file" DROP COLUMN "maybePorn"`);
await queryRunner.query(`COMMENT ON COLUMN "drive_file"."maybeSensitive" IS 'Whether the DriveFile is NSFW. (predict)'`);
await queryRunner.query(`ALTER TABLE "drive_file" DROP COLUMN "maybeSensitive"`);
await queryRunner.query(`ALTER TABLE "meta" ADD "disallowUploadWhenPredictedAsPorn" boolean NOT NULL DEFAULT false`);
await queryRunner.query(`ALTER TABLE "meta" ADD "forceIsSensitiveWhenPredicted" boolean NOT NULL DEFAULT true`);
await queryRunner.query(`ALTER TABLE "drive_file" ADD "predictedIsSensitive" boolean NOT NULL DEFAULT false`);
await queryRunner.query(`ALTER TABLE "drive_file" ADD "forceIsSensitive" boolean NOT NULL DEFAULT false`);
await queryRunner.query(`CREATE INDEX "IDX_fc2d74a6d7d8b11292a851d8f8" ON "drive_file" ("predictedIsSensitive") `);
}
}

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@ -0,0 +1,11 @@
export class nsfwDetection61656408772602 {
name = 'nsfwDetection61656408772602'
async up(queryRunner) {
await queryRunner.query(`ALTER TABLE "meta" ADD "enableSensitiveMediaDetectionForVideos" boolean NOT NULL DEFAULT false`);
}
async down(queryRunner) {
await queryRunner.query(`ALTER TABLE "meta" DROP COLUMN "enableSensitiveMediaDetectionForVideos"`);
}
}

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@ -23,6 +23,7 @@
"@peertube/http-signature": "1.6.0",
"@sinonjs/fake-timers": "9.1.2",
"@syuilo/aiscript": "0.11.1",
"@tensorflow/tfjs-node": "3.18.0",
"abort-controller": "3.0.0",
"ajv": "8.11.0",
"archiver": "5.3.1",
@ -36,6 +37,7 @@
"cbor": "8.1.0",
"chalk": "5.0.1",
"chalk-template": "0.4.0",
"chokidar": "3.3.1",
"cli-highlight": "2.1.11",
"color-convert": "2.0.1",
"content-disposition": "0.5.4",
@ -74,6 +76,7 @@
"nested-property": "4.0.0",
"node-fetch": "3.2.6",
"nodemailer": "6.7.6",
"nsfwjs": "2.4.1",
"os-utils": "0.0.14",
"parse5": "7.0.0",
"pg": "8.7.3",

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@ -1,12 +1,18 @@
import * as fs from 'node:fs';
import * as crypto from 'node:crypto';
import { join } from 'node:path';
import * as stream from 'node:stream';
import * as util from 'node:util';
import { FSWatcher } from 'chokidar';
import { fileTypeFromFile } from 'file-type';
import FFmpeg from 'fluent-ffmpeg';
import isSvg from 'is-svg';
import probeImageSize from 'probe-image-size';
import { type predictionType } from 'nsfwjs';
import sharp from 'sharp';
import { encode } from 'blurhash';
import { detectSensitive } from '@/services/detect-sensitive.js';
import { createTempDir } from './create-temp.js';
const pipeline = util.promisify(stream.pipeline);
@ -21,6 +27,8 @@ export type FileInfo = {
height?: number;
orientation?: number;
blurhash?: string;
sensitive: boolean;
porn: boolean;
warnings: string[];
};
@ -37,7 +45,12 @@ const TYPE_SVG = {
/**
* Get file information
*/
export async function getFileInfo(path: string): Promise<FileInfo> {
export async function getFileInfo(path: string, opts: {
skipSensitiveDetection: boolean;
sensitiveThreshold?: number;
sensitiveThresholdForPorn?: number;
enableSensitiveMediaDetectionForVideos?: boolean;
}): Promise<FileInfo> {
const warnings = [] as string[];
const size = await getFileSize(path);
@ -58,7 +71,7 @@ export async function getFileInfo(path: string): Promise<FileInfo> {
// うまく判定できない画像は octet-stream にする
if (!imageSize) {
warnings.push(`cannot detect image dimensions`);
warnings.push('cannot detect image dimensions');
type = TYPE_OCTET_STREAM;
} else if (imageSize.wUnits === 'px') {
width = imageSize.width;
@ -67,7 +80,7 @@ export async function getFileInfo(path: string): Promise<FileInfo> {
// 制限を超えている画像は octet-stream にする
if (imageSize.width > 16383 || imageSize.height > 16383) {
warnings.push(`image dimensions exceeds limits`);
warnings.push('image dimensions exceeds limits');
type = TYPE_OCTET_STREAM;
}
} else {
@ -84,6 +97,19 @@ export async function getFileInfo(path: string): Promise<FileInfo> {
});
}
let sensitive = false;
let porn = false;
if (!opts.skipSensitiveDetection) {
[sensitive, porn] = await detectSensitivity(
path,
type.mime,
opts.sensitiveThreshold ?? 0.5,
opts.sensitiveThresholdForPorn ?? 0.75,
opts.enableSensitiveMediaDetectionForVideos ?? false,
);
}
return {
size,
md5,
@ -92,10 +118,150 @@ export async function getFileInfo(path: string): Promise<FileInfo> {
height,
orientation,
blurhash,
sensitive,
porn,
warnings,
};
}
async function detectSensitivity(source: string, mime: string, sensitiveThreshold: number, sensitiveThresholdForPorn: number, analyzeVideo: boolean): Promise<[sensitive: boolean, porn: boolean]> {
let sensitive = false;
let porn = false;
function judgePrediction(result: readonly predictionType[]): [sensitive: boolean, porn: boolean] {
let sensitive = false;
let porn = false;
if ((result.find(x => x.className === 'Sexy')?.probability ?? 0) > sensitiveThreshold) sensitive = true;
if ((result.find(x => x.className === 'Hentai')?.probability ?? 0) > sensitiveThreshold) sensitive = true;
if ((result.find(x => x.className === 'Porn')?.probability ?? 0) > sensitiveThreshold) sensitive = true;
if ((result.find(x => x.className === 'Porn')?.probability ?? 0) > sensitiveThresholdForPorn) porn = true;
return [sensitive, porn];
}
if (['image/jpeg', 'image/png', 'image/webp'].includes(mime)) {
const result = await detectSensitive(source);
if (result) {
[sensitive, porn] = judgePrediction(result);
}
} else if (analyzeVideo && (mime === 'image/apng' || mime.startsWith('video/'))) {
const [outDir, disposeOutDir] = await createTempDir();
try {
const command = FFmpeg()
.input(source)
.inputOptions([
'-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)
'-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)
])
.noAudio()
.videoFilters([
{
filter: 'select', // フレームのフィルタリング
options: {
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)
},
},
{
filter: 'blackframe', // 暗いフレームの検出
options: {
amount: '0', // 暗さに関わらず全てのフレームで測定値を取る
},
},
{
filter: 'metadata',
options: {
mode: 'select', // フレーム選択モード
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)
value: '50',
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)
},
},
{
filter: 'scale',
options: {
w: 299,
h: 299,
},
},
])
.format('image2')
.output(join(outDir, '%d.png'))
.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
const results: ReturnType<typeof judgePrediction>[] = [];
let frameIndex = 0;
let targetIndex = 0;
let nextIndex = 1;
for await (const path of asyncIterateFrames(outDir, command)) {
try {
const index = frameIndex++;
if (index !== targetIndex) {
continue;
}
targetIndex = nextIndex;
nextIndex += index; // fibonacci sequence によってフレーム数制限を掛ける
const result = await detectSensitive(path);
if (result) {
results.push(judgePrediction(result));
}
} finally {
fs.promises.unlink(path);
}
}
sensitive = results.filter(x => x[0]).length >= Math.ceil(results.length * sensitiveThreshold);
porn = results.filter(x => x[1]).length >= Math.ceil(results.length * sensitiveThresholdForPorn);
} finally {
disposeOutDir();
}
}
return [sensitive, porn];
}
async function* asyncIterateFrames(cwd: string, command: FFmpeg.FfmpegCommand): AsyncGenerator<string, void> {
const watcher = new FSWatcher({
cwd,
disableGlobbing: true,
});
let finished = false;
command.once('end', () => {
finished = true;
watcher.close();
});
command.run();
for (let i = 1; true; i++) { // eslint-disable-line @typescript-eslint/no-unnecessary-condition
const current = `${i}.png`;
const next = `${i + 1}.png`;
const framePath = join(cwd, current);
if (await exists(join(cwd, next))) {
yield framePath;
} else if (!finished) { // eslint-disable-line @typescript-eslint/no-unnecessary-condition
watcher.add(next);
await new Promise<void>((resolve, reject) => {
watcher.on('add', function onAdd(path) {
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
watcher.unwatch(current);
watcher.off('add', onAdd);
resolve();
}
});
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
command.once('error', reject);
});
yield framePath;
} else if (await exists(framePath)) {
yield framePath;
} else {
return;
}
}
}
function exists(path: string): Promise<boolean> {
return fs.promises.access(path).then(() => true, () => false);
}
/**
* Detect MIME Type and extension
*/

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@ -156,6 +156,19 @@ export class DriveFile {
})
public isSensitive: boolean;
@Index()
@Column('boolean', {
default: false,
comment: 'Whether the DriveFile is NSFW. (predict)',
})
public maybeSensitive: boolean;
@Index()
@Column('boolean', {
default: false,
})
public maybePorn: boolean;
/**
* ()URLへの直リンクか否か
*/

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@ -188,6 +188,28 @@ export class Meta {
})
public recaptchaSecretKey: string | null;
@Column('enum', {
enum: ['none', 'all', 'local', 'remote'],
default: 'none',
})
public sensitiveMediaDetection: 'none' | 'all' | 'local' | 'remote';
@Column('enum', {
enum: ['medium', 'low', 'high', 'veryLow', 'veryHigh'],
default: 'medium',
})
public sensitiveMediaDetectionSensitivity: 'medium' | 'low' | 'high' | 'veryLow' | 'veryHigh';
@Column('boolean', {
default: false,
})
public setSensitiveFlagAutomatically: boolean;
@Column('boolean', {
default: false,
})
public enableSensitiveMediaDetectionForVideos: boolean;
@Column('integer', {
default: 1024,
comment: 'Drive capacity of a local user (MB)',

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@ -152,6 +152,11 @@ export class UserProfile {
})
public alwaysMarkNsfw: boolean;
@Column('boolean', {
default: false,
})
public autoSensitive: boolean;
@Column('boolean', {
default: false,
})

View File

@ -360,6 +360,7 @@ export const UserRepository = db.getRepository(User).extend({
injectFeaturedNote: profile!.injectFeaturedNote,
receiveAnnouncementEmail: profile!.receiveAnnouncementEmail,
alwaysMarkNsfw: profile!.alwaysMarkNsfw,
autoSensitive: profile!.autoSensitive,
carefulBot: profile!.carefulBot,
autoAcceptFollowed: profile!.autoAcceptFollowed,
noCrawle: profile!.noCrawle,

View File

@ -161,19 +161,19 @@ export const packedUserDetailedNotMeOnlySchema = {
type: 'array',
nullable: false, optional: false,
items: {
type: 'object',
nullable: false, optional: false,
properties: {
name: {
type: 'string',
nullable: false, optional: false,
},
value: {
type: 'string',
nullable: false, optional: false,
},
type: 'object',
nullable: false, optional: false,
properties: {
name: {
type: 'string',
nullable: false, optional: false,
},
maxLength: 4,
value: {
type: 'string',
nullable: false, optional: false,
},
},
maxLength: 4,
},
},
followersCount: {
@ -292,6 +292,10 @@ export const packedMeDetailedOnlySchema = {
type: 'boolean',
nullable: true, optional: false,
},
autoSensitive: {
type: 'boolean',
nullable: true, optional: false,
},
carefulBot: {
type: 'boolean',
nullable: true, optional: false,

View File

@ -195,6 +195,22 @@ export const meta = {
type: 'string',
optional: true, nullable: true,
},
sensitiveMediaDetection: {
type: 'string',
optional: true, nullable: false,
},
sensitiveMediaDetectionSensitivity: {
type: 'string',
optional: true, nullable: false,
},
setSensitiveFlagAutomatically: {
type: 'boolean',
optional: true, nullable: false,
},
enableSensitiveMediaDetectionForVideos: {
type: 'boolean',
optional: true, nullable: false,
},
proxyAccountId: {
type: 'string',
optional: true, nullable: true,
@ -370,6 +386,10 @@ export default define(meta, paramDef, async (ps, me) => {
blockedHosts: instance.blockedHosts,
hcaptchaSecretKey: instance.hcaptchaSecretKey,
recaptchaSecretKey: instance.recaptchaSecretKey,
sensitiveMediaDetection: instance.sensitiveMediaDetection,
sensitiveMediaDetectionSensitivity: instance.sensitiveMediaDetectionSensitivity,
setSensitiveFlagAutomatically: instance.setSensitiveFlagAutomatically,
enableSensitiveMediaDetectionForVideos: instance.enableSensitiveMediaDetectionForVideos,
proxyAccountId: instance.proxyAccountId,
twitterConsumerKey: instance.twitterConsumerKey,
twitterConsumerSecret: instance.twitterConsumerSecret,

View File

@ -58,6 +58,7 @@ export default define(meta, paramDef, async (ps, me) => {
autoAcceptFollowed: profile.autoAcceptFollowed,
noCrawle: profile.noCrawle,
alwaysMarkNsfw: profile.alwaysMarkNsfw,
autoSensitive: profile.autoSensitive,
carefulBot: profile.carefulBot,
injectFeaturedNote: profile.injectFeaturedNote,
receiveAnnouncementEmail: profile.receiveAnnouncementEmail,

View File

@ -48,6 +48,10 @@ export const paramDef = {
enableRecaptcha: { type: 'boolean' },
recaptchaSiteKey: { type: 'string', nullable: true },
recaptchaSecretKey: { type: 'string', nullable: true },
sensitiveMediaDetection: { type: 'string', enum: ['none', 'all', 'local', 'remote'] },
sensitiveMediaDetectionSensitivity: { type: 'string', enum: ['medium', 'low', 'high', 'veryLow', 'veryHigh'] },
setSensitiveFlagAutomatically: { type: 'boolean' },
enableSensitiveMediaDetectionForVideos: { type: 'boolean' },
proxyAccountId: { type: 'string', format: 'misskey:id', nullable: true },
maintainerName: { type: 'string', nullable: true },
maintainerEmail: { type: 'string', nullable: true },
@ -213,6 +217,22 @@ export default define(meta, paramDef, async (ps, me) => {
set.recaptchaSecretKey = ps.recaptchaSecretKey;
}
if (ps.sensitiveMediaDetection !== undefined) {
set.sensitiveMediaDetection = ps.sensitiveMediaDetection;
}
if (ps.sensitiveMediaDetectionSensitivity !== undefined) {
set.sensitiveMediaDetectionSensitivity = ps.sensitiveMediaDetectionSensitivity;
}
if (ps.setSensitiveFlagAutomatically !== undefined) {
set.setSensitiveFlagAutomatically = ps.setSensitiveFlagAutomatically;
}
if (ps.enableSensitiveMediaDetectionForVideos !== undefined) {
set.enableSensitiveMediaDetectionForVideos = ps.enableSensitiveMediaDetectionForVideos;
}
if (ps.proxyAccountId !== undefined) {
set.proxyAccountId = ps.proxyAccountId;
}

View File

@ -2,6 +2,7 @@ import ms from 'ms';
import { addFile } from '@/services/drive/add-file.js';
import { DriveFiles } from '@/models/index.js';
import { DB_MAX_IMAGE_COMMENT_LENGTH } from '@/misc/hard-limits.js';
import { IdentifiableError } from '@/misc/identifiable-error.js';
import { fetchMeta } from '@/misc/fetch-meta.js';
import define from '../../../define.js';
import { apiLogger } from '../../../logger.js';
@ -35,6 +36,18 @@ export const meta = {
code: 'INVALID_FILE_NAME',
id: 'f449b209-0c60-4e51-84d5-29486263bfd4',
},
inappropriate: {
message: 'Cannot upload the file because it has been determined that it possibly contains inappropriate content.',
code: 'INAPPROPRIATE',
id: 'bec5bd69-fba3-43c9-b4fb-2894b66ad5d2',
},
noFreeSpace: {
message: 'Cannot upload the file because you have no free space of drive.',
code: 'NO_FREE_SPACE',
id: 'd08dbc37-a6a9-463a-8c47-96c32ab5f064',
},
},
} as const;
@ -87,6 +100,10 @@ export default define(meta, paramDef, async (ps, user, _, file, cleanup, ip, hea
if (e instanceof Error || typeof e === 'string') {
apiLogger.error(e);
}
if (e instanceof IdentifiableError) {
if (e.id === '282f77bf-5816-4f72-9264-aa14d8261a21') throw new ApiError(meta.errors.inappropriate);
if (e.id === 'c6244ed2-a39a-4e1c-bf93-f0fbd7764fa6') throw new ApiError(meta.errors.noFreeSpace);
}
throw new ApiError();
} finally {
cleanup!();

View File

@ -1,8 +1,8 @@
import { publishDriveStream } from '@/services/stream.js';
import define from '../../../define.js';
import { ApiError } from '../../../error.js';
import { DriveFiles, DriveFolders, Users } from '@/models/index.js';
import { DB_MAX_IMAGE_COMMENT_LENGTH } from '@/misc/hard-limits.js';
import define from '../../../define.js';
import { ApiError } from '../../../error.js';
export const meta = {
tags: ['drive'],

View File

@ -3,17 +3,17 @@ import * as mfm from 'mfm-js';
import { publishMainStream, publishUserEvent } from '@/services/stream.js';
import acceptAllFollowRequests from '@/services/following/requests/accept-all.js';
import { publishToFollowers } from '@/services/i/update.js';
import define from '../../define.js';
import { extractCustomEmojisFromMfm } from '@/misc/extract-custom-emojis-from-mfm.js';
import { extractHashtags } from '@/misc/extract-hashtags.js';
import { updateUsertags } from '@/services/update-hashtag.js';
import { ApiError } from '../../error.js';
import { Users, DriveFiles, UserProfiles, Pages } from '@/models/index.js';
import { User } from '@/models/entities/user.js';
import { UserProfile } from '@/models/entities/user-profile.js';
import { notificationTypes } from '@/types.js';
import { normalizeForSearch } from '@/misc/normalize-for-search.js';
import { langmap } from '@/misc/langmap.js';
import { ApiError } from '../../error.js';
import define from '../../define.js';
export const meta = {
tags: ['account'],
@ -57,7 +57,7 @@ export const meta = {
message: 'Invalid Regular Expression.',
code: 'INVALID_REGEXP',
id: '0d786918-10df-41cd-8f33-8dec7d9a89a5',
}
},
},
res: {
@ -77,7 +77,8 @@ export const paramDef = {
lang: { type: 'string', enum: [null, ...Object.keys(langmap)], nullable: true },
avatarId: { type: 'string', format: 'misskey:id', nullable: true },
bannerId: { type: 'string', format: 'misskey:id', nullable: true },
fields: { type: 'array',
fields: {
type: 'array',
minItems: 0,
maxItems: 16,
items: {
@ -102,6 +103,7 @@ export const paramDef = {
injectFeaturedNote: { type: 'boolean' },
receiveAnnouncementEmail: { type: 'boolean' },
alwaysMarkNsfw: { type: 'boolean' },
autoSensitive: { type: 'boolean' },
ffVisibility: { type: 'string', enum: ['public', 'followers', 'private'] },
pinnedPageId: { type: 'array', items: {
type: 'string', format: 'misskey:id',
@ -168,6 +170,7 @@ export default define(meta, paramDef, async (ps, _user, token) => {
if (typeof ps.injectFeaturedNote === 'boolean') profileUpdates.injectFeaturedNote = ps.injectFeaturedNote;
if (typeof ps.receiveAnnouncementEmail === 'boolean') profileUpdates.receiveAnnouncementEmail = ps.receiveAnnouncementEmail;
if (typeof ps.alwaysMarkNsfw === 'boolean') profileUpdates.alwaysMarkNsfw = ps.alwaysMarkNsfw;
if (typeof ps.autoSensitive === 'boolean') profileUpdates.autoSensitive = ps.autoSensitive;
if (ps.emailNotificationTypes !== undefined) profileUpdates.emailNotificationTypes = ps.emailNotificationTypes;
if (ps.avatarId) {

View File

@ -0,0 +1,28 @@
import * as fs from 'node:fs';
import { fileURLToPath } from 'node:url';
import { dirname } from 'node:path';
import * as nsfw from 'nsfwjs';
import * as tf from '@tensorflow/tfjs-node';
const _filename = fileURLToPath(import.meta.url);
const _dirname = dirname(_filename);
let model: nsfw.NSFWJS;
export async function detectSensitive(path: string): Promise<nsfw.predictionType[] | null> {
try {
if (model == null) 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 tf.Tensor3D;
try {
const predictions = await model.classify(image);
return predictions;
} finally {
image.dispose();
}
} catch (err) {
console.error(err);
return null;
}
}

View File

@ -16,6 +16,7 @@ import { driveChart, perUserDriveChart, instanceChart } from '@/services/chart/i
import { genId } from '@/misc/gen-id.js';
import { isDuplicateKeyValueError } from '@/misc/is-duplicate-key-value-error.js';
import { FILE_TYPE_BROWSERSAFE } from '@/const.js';
import { IdentifiableError } from '@/misc/identifiable-error.js';
import { getS3 } from './s3.js';
import { InternalStorage } from './internal-storage.js';
import { IImage, convertSharpToJpeg, convertSharpToWebp, convertSharpToPng } from './image-processor.js';
@ -349,9 +350,31 @@ export async function addFile({
requestIp = null,
requestHeaders = null,
}: AddFileArgs): Promise<DriveFile> {
const info = await getFileInfo(path);
let skipNsfwCheck = false;
const instance = await fetchMeta();
if (user == null) skipNsfwCheck = true;
if (instance.sensitiveMediaDetection === 'none') skipNsfwCheck = true;
if (user && instance.sensitiveMediaDetection === 'local' && Users.isRemoteUser(user)) skipNsfwCheck = true;
if (user && instance.sensitiveMediaDetection === 'remote' && Users.isLocalUser(user)) skipNsfwCheck = true;
const info = await getFileInfo(path, {
skipSensitiveDetection: skipNsfwCheck,
sensitiveThreshold: // 感度が高いほどしきい値は低くすることになる
instance.sensitiveMediaDetectionSensitivity === 'veryHigh' ? 0.1 :
instance.sensitiveMediaDetectionSensitivity === 'high' ? 0.3 :
instance.sensitiveMediaDetectionSensitivity === 'low' ? 0.7 :
instance.sensitiveMediaDetectionSensitivity === 'veryLow' ? 0.9 :
0.5,
sensitiveThresholdForPorn: 0.75,
enableSensitiveMediaDetectionForVideos: instance.enableSensitiveMediaDetectionForVideos,
});
logger.info(`${JSON.stringify(info)}`);
// 現状 false positive が多すぎて実用に耐えない
//if (info.porn && instance.disallowUploadWhenPredictedAsPorn) {
// throw new IdentifiableError('282f77bf-5816-4f72-9264-aa14d8261a21', 'Detected as porn.');
//}
// detect name
const detectedName = name || (info.type.ext ? `untitled.${info.type.ext}` : 'untitled');
@ -387,7 +410,7 @@ export async function addFile({
// If usage limit exceeded
if (usage + info.size > driveCapacity) {
if (Users.isLocalUser(user)) {
throw new Error('no-free-space');
throw new IdentifiableError('c6244ed2-a39a-4e1c-bf93-f0fbd7764fa6', 'No free space.');
} else {
// (アバターまたはバナーを含まず)最も古いファイルを削除する
deleteOldFile(await Users.findOneByOrFail({ id: user.id }) as IRemoteUser);
@ -441,6 +464,8 @@ export async function addFile({
file.isLink = isLink;
file.requestIp = requestIp;
file.requestHeaders = requestHeaders;
file.maybeSensitive = info.sensitive;
file.maybePorn = info.porn;
file.isSensitive = user
? Users.isLocalUser(user) && profile!.alwaysMarkNsfw ? true :
(sensitive !== null && sensitive !== undefined)
@ -448,6 +473,9 @@ export async function addFile({
: false
: false;
if (info.sensitive && profile!.autoSensitive) file.isSensitive = true;
if (info.sensitive && instance.setSensitiveFlagAutomatically) file.isSensitive = true;
if (url !== null) {
file.src = url;

View File

@ -10,9 +10,10 @@ const _dirname = dirname(_filename);
describe('Get file info', () => {
it('Empty file', async (async () => {
const path = `${_dirname}/resources/emptyfile`;
const info = await getFileInfo(path) as any;
const info = await getFileInfo(path, { skipSensitiveDetection: true }) as any;
delete info.warnings;
delete info.blurhash;
delete info.sensitive;
assert.deepStrictEqual(info, {
size: 0,
md5: 'd41d8cd98f00b204e9800998ecf8427e',
@ -28,9 +29,10 @@ describe('Get file info', () => {
it('Generic JPEG', async (async () => {
const path = `${_dirname}/resources/Lenna.jpg`;
const info = await getFileInfo(path) as any;
const info = await getFileInfo(path, { skipSensitiveDetection: true }) as any;
delete info.warnings;
delete info.blurhash;
delete info.sensitive;
assert.deepStrictEqual(info, {
size: 25360,
md5: '091b3f259662aa31e2ffef4519951168',
@ -46,9 +48,10 @@ describe('Get file info', () => {
it('Generic APNG', async (async () => {
const path = `${_dirname}/resources/anime.png`;
const info = await getFileInfo(path) as any;
const info = await getFileInfo(path, { skipSensitiveDetection: true }) as any;
delete info.warnings;
delete info.blurhash;
delete info.sensitive;
assert.deepStrictEqual(info, {
size: 1868,
md5: '08189c607bea3b952704676bb3c979e0',
@ -64,9 +67,10 @@ describe('Get file info', () => {
it('Generic AGIF', async (async () => {
const path = `${_dirname}/resources/anime.gif`;
const info = await getFileInfo(path) as any;
const info = await getFileInfo(path, { skipSensitiveDetection: true }) as any;
delete info.warnings;
delete info.blurhash;
delete info.sensitive;
assert.deepStrictEqual(info, {
size: 2248,
md5: '32c47a11555675d9267aee1a86571e7e',
@ -82,9 +86,10 @@ describe('Get file info', () => {
it('PNG with alpha', async (async () => {
const path = `${_dirname}/resources/with-alpha.png`;
const info = await getFileInfo(path) as any;
const info = await getFileInfo(path, { skipSensitiveDetection: true }) as any;
delete info.warnings;
delete info.blurhash;
delete info.sensitive;
assert.deepStrictEqual(info, {
size: 3772,
md5: 'f73535c3e1e27508885b69b10cf6e991',
@ -100,9 +105,10 @@ describe('Get file info', () => {
it('Generic SVG', async (async () => {
const path = `${_dirname}/resources/image.svg`;
const info = await getFileInfo(path) as any;
const info = await getFileInfo(path, { skipSensitiveDetection: true }) as any;
delete info.warnings;
delete info.blurhash;
delete info.sensitive;
assert.deepStrictEqual(info, {
size: 505,
md5: 'b6f52b4b021e7b92cdd04509c7267965',
@ -119,9 +125,10 @@ describe('Get file info', () => {
it('SVG with XML definition', async (async () => {
// https://github.com/misskey-dev/misskey/issues/4413
const path = `${_dirname}/resources/with-xml-def.svg`;
const info = await getFileInfo(path) as any;
const info = await getFileInfo(path, { skipSensitiveDetection: true }) as any;
delete info.warnings;
delete info.blurhash;
delete info.sensitive;
assert.deepStrictEqual(info, {
size: 544,
md5: '4b7a346cde9ccbeb267e812567e33397',
@ -137,9 +144,10 @@ describe('Get file info', () => {
it('Dimension limit', async (async () => {
const path = `${_dirname}/resources/25000x25000.png`;
const info = await getFileInfo(path) as any;
const info = await getFileInfo(path, { skipSensitiveDetection: true }) as any;
delete info.warnings;
delete info.blurhash;
delete info.sensitive;
assert.deepStrictEqual(info, {
size: 75933,
md5: '268c5dde99e17cf8fe09f1ab3f97df56',
@ -155,9 +163,10 @@ describe('Get file info', () => {
it('Rotate JPEG', async (async () => {
const path = `${_dirname}/resources/rotate.jpg`;
const info = await getFileInfo(path) as any;
const info = await getFileInfo(path, { skipSensitiveDetection: true }) as any;
delete info.warnings;
delete info.blurhash;
delete info.sensitive;
assert.deepStrictEqual(info, {
size: 12624,
md5: '68d5b2d8d1d1acbbce99203e3ec3857e',

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View File

@ -14,6 +14,49 @@
<XBotProtection/>
</FormFolder>
<FormFolder class="_formBlock">
<template #icon><i class="fas fa-eye-slash"></i></template>
<template #label>{{ i18n.ts.sensitiveMediaDetection }}</template>
<template v-if="sensitiveMediaDetection === 'all'" #suffix>{{ i18n.ts.all }}</template>
<template v-else-if="sensitiveMediaDetection === 'local'" #suffix>{{ i18n.ts.localOnly }}</template>
<template v-else-if="sensitiveMediaDetection === 'remote'" #suffix>{{ i18n.ts.remoteOnly }}</template>
<template v-else #suffix>{{ i18n.ts.none }}</template>
<div class="_formRoot">
<span class="_formBlock">{{ i18n.ts._sensitiveMediaDetection.description }}</span>
<FormRadios v-model="sensitiveMediaDetection" class="_formBlock">
<option value="none">{{ i18n.ts.none }}</option>
<option value="all">{{ i18n.ts.all }}</option>
<option value="local">{{ i18n.ts.localOnly }}</option>
<option value="remote">{{ i18n.ts.remoteOnly }}</option>
</FormRadios>
<FormRange v-model="sensitiveMediaDetectionSensitivity" :min="0" :max="4" :step="1" :text-converter="(v) => `${v + 1}`" class="_formBlock">
<template #label>{{ i18n.ts._sensitiveMediaDetection.sensitivity }}</template>
<template #caption>{{ i18n.ts._sensitiveMediaDetection.sensitivityDescription }}</template>
</FormRange>
<FormSwitch v-model="enableSensitiveMediaDetectionForVideos" class="_formBlock">
<template #label>{{ i18n.ts._sensitiveMediaDetection.analyzeVideos }}<span class="_beta">{{ i18n.ts.beta }}</span></template>
<template #caption>{{ i18n.ts._sensitiveMediaDetection.analyzeVideosDescription }}</template>
</FormSwitch>
<FormSwitch v-model="setSensitiveFlagAutomatically" class="_formBlock">
<template #label>{{ i18n.ts._sensitiveMediaDetection.setSensitiveFlagAutomatically }} ({{ i18n.ts.notRecommended }})</template>
<template #caption>{{ i18n.ts._sensitiveMediaDetection.setSensitiveFlagAutomaticallyDescription }}</template>
</FormSwitch>
<!-- 現状 false positive が多すぎて実用に耐えない
<FormSwitch v-model="disallowUploadWhenPredictedAsPorn" class="_formBlock">
<template #label>{{ i18n.ts._sensitiveMediaDetection.disallowUploadWhenPredictedAsPorn }}</template>
</FormSwitch>
-->
<FormButton primary class="_formBlock" @click="save"><i class="fas fa-save"></i> {{ i18n.ts.save }}</FormButton>
</div>
</FormFolder>
<FormFolder class="_formBlock">
<template #label>Log IP address</template>
<template v-if="enableIpLogging" #suffix>Enabled</template>
@ -49,10 +92,11 @@ import { } from 'vue';
import XBotProtection from './bot-protection.vue';
import XHeader from './_header_.vue';
import FormFolder from '@/components/form/folder.vue';
import FormRadios from '@/components/form/radios.vue';
import FormSwitch from '@/components/form/switch.vue';
import FormInfo from '@/components/ui/info.vue';
import FormSuspense from '@/components/form/suspense.vue';
import FormSection from '@/components/form/section.vue';
import FormRange from '@/components/form/range.vue';
import FormInput from '@/components/form/input.vue';
import FormButton from '@/components/ui/button.vue';
import * as os from '@/os';
@ -63,6 +107,10 @@ import { definePageMetadata } from '@/scripts/page-metadata';
let summalyProxy: string = $ref('');
let enableHcaptcha: boolean = $ref(false);
let enableRecaptcha: boolean = $ref(false);
let sensitiveMediaDetection: string = $ref('none');
let sensitiveMediaDetectionSensitivity: number = $ref(0);
let setSensitiveFlagAutomatically: boolean = $ref(false);
let enableSensitiveMediaDetectionForVideos: boolean = $ref(false);
let enableIpLogging: boolean = $ref(false);
async function init() {
@ -70,12 +118,31 @@ async function init() {
summalyProxy = meta.summalyProxy;
enableHcaptcha = meta.enableHcaptcha;
enableRecaptcha = meta.enableRecaptcha;
sensitiveMediaDetection = meta.sensitiveMediaDetection;
sensitiveMediaDetectionSensitivity =
meta.sensitiveMediaDetectionSensitivity === 'veryLow' ? 0 :
meta.sensitiveMediaDetectionSensitivity === 'low' ? 1 :
meta.sensitiveMediaDetectionSensitivity === 'medium' ? 2 :
meta.sensitiveMediaDetectionSensitivity === 'high' ? 3 :
meta.sensitiveMediaDetectionSensitivity === 'veryHigh' ? 4 : 0;
setSensitiveFlagAutomatically = meta.setSensitiveFlagAutomatically;
enableSensitiveMediaDetectionForVideos = meta.enableSensitiveMediaDetectionForVideos;
enableIpLogging = meta.enableIpLogging;
}
function save() {
os.apiWithDialog('admin/update-meta', {
summalyProxy,
sensitiveMediaDetection,
sensitiveMediaDetectionSensitivity:
sensitiveMediaDetectionSensitivity === 0 ? 'veryLow' :
sensitiveMediaDetectionSensitivity === 1 ? 'low' :
sensitiveMediaDetectionSensitivity === 2 ? 'medium' :
sensitiveMediaDetectionSensitivity === 3 ? 'high' :
sensitiveMediaDetectionSensitivity === 4 ? 'veryHigh' :
0,
setSensitiveFlagAutomatically,
enableSensitiveMediaDetectionForVideos,
enableIpLogging,
}).then(() => {
fetchInstance();

View File

@ -28,7 +28,17 @@
<template #suffix>{{ uploadFolder ? uploadFolder.name : '-' }}</template>
<template #suffixIcon><i class="fas fa-folder-open"></i></template>
</FormLink>
<FormSwitch v-model="keepOriginalUploading" class="_formBlock">{{ i18n.ts.keepOriginalUploading }}<template #caption>{{ i18n.ts.keepOriginalUploadingDescription }}</template></FormSwitch>
<FormSwitch v-model="keepOriginalUploading" class="_formBlock">
<template #label>{{ i18n.ts.keepOriginalUploading }}</template>
<template #caption>{{ i18n.ts.keepOriginalUploadingDescription }}</template>
</FormSwitch>
<FormSwitch v-model="alwaysMarkNsfw" class="_formBlock" @update:modelValue="saveProfile()">
<template #label>{{ i18n.ts.alwaysMarkSensitive }}</template>
</FormSwitch>
<FormSwitch v-model="autoSensitive" class="_formBlock" @update:modelValue="saveProfile()">
<template #label>{{ i18n.ts.enableAutoSensitive }}<span class="_beta">{{ i18n.ts.beta }}</span></template>
<template #caption>{{ i18n.ts.enableAutoSensitiveDescription }}</template>
</FormSwitch>
</FormSection>
</div>
</template>
@ -47,11 +57,14 @@ import { defaultStore } from '@/store';
import MkChart from '@/components/chart.vue';
import { i18n } from '@/i18n';
import { definePageMetadata } from '@/scripts/page-metadata';
import { $i } from '@/account';
const fetching = ref(true);
const usage = ref<any>(null);
const capacity = ref<any>(null);
const uploadFolder = ref<any>(null);
let alwaysMarkNsfw = $ref($i.alwaysMarkNsfw);
let autoSensitive = $ref($i.autoSensitive);
const meterStyle = computed(() => {
return {
@ -94,6 +107,13 @@ function chooseUploadFolder() {
});
}
function saveProfile() {
os.api('i/update', {
alwaysMarkNsfw: !!alwaysMarkNsfw,
autoSensitive: !!autoSensitive,
});
}
const headerActions = $computed(() => []);
const headerTabs = $computed(() => []);

View File

@ -56,8 +56,6 @@
<FormSwitch v-model="profile.isCat" class="_formBlock">{{ i18n.ts.flagAsCat }}<template #caption>{{ i18n.ts.flagAsCatDescription }}</template></FormSwitch>
<FormSwitch v-model="profile.showTimelineReplies" class="_formBlock">{{ i18n.ts.flagShowTimelineReplies }}<template #caption>{{ i18n.ts.flagShowTimelineRepliesDescription }} {{ i18n.ts.reflectMayTakeTime }}</template></FormSwitch>
<FormSwitch v-model="profile.isBot" class="_formBlock">{{ i18n.ts.flagAsBot }}<template #caption>{{ i18n.ts.flagAsBotDescription }}</template></FormSwitch>
<FormSwitch v-model="profile.alwaysMarkNsfw" class="_formBlock">{{ i18n.ts.alwaysMarkSensitive }}</FormSwitch>
</div>
</template>
@ -88,7 +86,6 @@ const profile = reactive({
isBot: $i.isBot,
isCat: $i.isCat,
showTimelineReplies: $i.showTimelineReplies,
alwaysMarkNsfw: $i.alwaysMarkNsfw,
});
watch(() => profile, () => {
@ -126,7 +123,6 @@ function save() {
isBot: !!profile.isBot,
isCat: !!profile.isCat,
showTimelineReplies: !!profile.showTimelineReplies,
alwaysMarkNsfw: !!profile.alwaysMarkNsfw,
});
}

View File

@ -1,9 +1,9 @@
import { ref } from 'vue';
import { DriveFile } from 'misskey-js/built/entities';
import * as os from '@/os';
import { stream } from '@/stream';
import { i18n } from '@/i18n';
import { defaultStore } from '@/store';
import { DriveFile } from 'misskey-js/built/entities';
import { uploadFile } from '@/scripts/upload';
function select(src: any, label: string | null, multiple: boolean): Promise<DriveFile | DriveFile[]> {
@ -20,10 +20,7 @@ function select(src: any, label: string | null, multiple: boolean): Promise<Driv
Promise.all(promises).then(driveFiles => {
res(multiple ? driveFiles : driveFiles[0]);
}).catch(err => {
os.alert({
type: 'error',
text: err
});
// アップロードのエラーは uploadFile 内でハンドリングされているためアラートダイアログを出したりはしてはいけない
});
// 一応廃棄
@ -47,7 +44,7 @@ function select(src: any, label: string | null, multiple: boolean): Promise<Driv
os.inputText({
title: i18n.ts.uploadFromUrl,
type: 'url',
placeholder: i18n.ts.uploadFromUrlDescription
placeholder: i18n.ts.uploadFromUrlDescription,
}).then(({ canceled, result: url }) => {
if (canceled) return;
@ -64,35 +61,35 @@ function select(src: any, label: string | null, multiple: boolean): Promise<Driv
os.api('drive/files/upload-from-url', {
url: url,
folderId: defaultStore.state.uploadFolder,
marker
marker,
});
os.alert({
title: i18n.ts.uploadFromUrlRequested,
text: i18n.ts.uploadFromUrlMayTakeTime
text: i18n.ts.uploadFromUrlMayTakeTime,
});
});
};
os.popupMenu([label ? {
text: label,
type: 'label'
type: 'label',
} : undefined, {
type: 'switch',
text: i18n.ts.keepOriginalUploading,
ref: keepOriginal
ref: keepOriginal,
}, {
text: i18n.ts.upload,
icon: 'fas fa-upload',
action: chooseFileFromPc
action: chooseFileFromPc,
}, {
text: i18n.ts.fromDrive,
icon: 'fas fa-cloud',
action: chooseFileFromDrive
action: chooseFileFromDrive,
}, {
text: i18n.ts.fromUrl,
icon: 'fas fa-link',
action: chooseFileFromUrl
action: chooseFileFromUrl,
}], src);
});
}

View File

@ -5,6 +5,7 @@ import { defaultStore } from '@/store';
import { apiUrl } from '@/config';
import { $i } from '@/account';
import { alert } from '@/os';
import { i18n } from '@/i18n';
type Uploading = {
id: string;
@ -80,14 +81,37 @@ export function uploadFile(
xhr.open('POST', apiUrl + '/drive/files/create', true);
xhr.onload = (ev) => {
if (xhr.status !== 200 || ev.target == null || ev.target.response == null) {
// TODO: 消すのではなくて再送できるようにしたい
// TODO: 消すのではなくて(ネットワーク的なエラーなら)再送できるようにしたい
uploads.value = uploads.value.filter(x => x.id !== id);
alert({
type: 'error',
title: 'Failed to upload',
text: `${JSON.stringify(ev.target?.response)}, ${JSON.stringify(xhr.response)}`,
});
if (ev.target?.response) {
const res = JSON.parse(ev.target.response);
if (res.error?.id === 'bec5bd69-fba3-43c9-b4fb-2894b66ad5d2') {
alert({
type: 'error',
title: i18n.ts.failedToUpload,
text: i18n.ts.cannotUploadBecauseInappropriate,
});
} else if (res.error?.id === 'd08dbc37-a6a9-463a-8c47-96c32ab5f064') {
alert({
type: 'error',
title: i18n.ts.failedToUpload,
text: i18n.ts.cannotUploadBecauseNoFreeSpace,
});
} else {
alert({
type: 'error',
title: i18n.ts.failedToUpload,
text: `${res.error?.message}\n${res.error?.code}\n${res.error?.id}`,
});
}
} else {
alert({
type: 'error',
title: 'Failed to upload',
text: `${JSON.stringify(ev.target?.response)}, ${JSON.stringify(xhr.response)}`,
});
}
reject();
return;

View File

@ -399,6 +399,16 @@ hr {
}
}
._beta {
margin-left: 0.7em;
font-size: 65%;
padding: 2px 3px;
color: var(--accent);
border: solid 1px var(--accent);
border-radius: 4px;
vertical-align: top;
}
._table {
> ._row {
display: flex;