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https://github.com/labring/FastGPT.git
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V4.14.4 features (#6036)
* feat: add query optimize and bill (#6021) * add query optimize and bill * perf: query extension * fix: embe model * remove log * remove log * fix: test --------- Co-authored-by: xxyyh <2289112474@qq> Co-authored-by: archer <545436317@qq.com> * feat: notice (#6013) * feat: record user's language * feat: notice points/dataset indexes; support count limit; update docker-compose.yml * fix: ts error * feat: send auth code i18n * chore: dataset notice limit * chore: adjust * fix: ts * fix: countLimit race condition; i18n en-prefix locale fallback to en --------- Co-authored-by: archer <545436317@qq.com> * perf: comment * perf: send inform code * fix: type error (#6029) * feat: add ip region for chat logs (#6010) * feat: add ip region for chat logs * refactor: use Geolite2.mmdb * fix: export chat logs * fix: return location directly * test: add unit test * perf: log show ip data * adjust commercial plans (#6008) * plan frontend * plan limit * coupon * discount coupon * fix * type * fix audit * type * plan name * legacy plan * track * feat: add discount coupon * fix * fix discount coupon * openapi * type * type * env * api type * fix * fix: simple agent plugin input & agent dashboard card (#6034) * refactor: remove gridfs (#6031) * fix: replace gridfs multer operations with s3 compatible ops * wip: s3 features * refactor: remove gridfs * fix * perf: mock test * doc * doc * doc * fix: test * fix: s3 * fix: mock s3 * remove invalid config * fix: init query extension * initv4144 (#6037) * chore: initv4144 * fix * version * fix: new plans (#6039) * fix: new plans * qr modal tip * fix: buffer raw text filename (#6040) * fix: initv4144 (#6041) * fix: pay refresh (#6042) * fix: migration shell * rename collection * clear timerlock * clear timerlock * perf: faq * perf: bill schema * fix: openapi * doc * fix: share var render * feat: delete dataset queue * plan usage display (#6043) * plan usage display * text * fix * fix: ts * perf: remove invalid code * perf: init shell * doc * perf: rename field * perf: avatar presign * init * custom plan text (#6045) * fix plans * fix * fixed * computed --------- Co-authored-by: archer <545436317@qq.com> * init shell * plan text & price page back button (#6046) * init * index * delete dataset * delete dataset * perf: delete dataset * init --------- Co-authored-by: YeYuheng <57035043+YYH211@users.noreply.github.com> Co-authored-by: xxyyh <2289112474@qq> Co-authored-by: Finley Ge <32237950+FinleyGe@users.noreply.github.com> Co-authored-by: Roy <whoeverimf5@gmail.com> Co-authored-by: heheer <heheer@sealos.io>
This commit is contained in:
@@ -1,17 +1,6 @@
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import { addMinutes } from 'date-fns';
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import { bucketName, MongoDatasetImageSchema } from './schema';
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import { connectionMongo, Types } from '../../../common/mongo';
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import fs from 'fs';
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import type { FileType } from '../../../common/file/multer';
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import fsp from 'fs/promises';
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import { computeGridFsChunSize } from '../../../common/file/gridfs/utils';
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import { setCron } from '../../../common/system/cron';
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import { checkTimerLock } from '../../../common/system/timerLock/utils';
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import { TimerIdEnum } from '../../../common/system/timerLock/constants';
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import { addLog } from '../../../common/system/log';
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import { UserError } from '@fastgpt/global/common/error/utils';
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import { getS3DatasetSource, S3DatasetSource } from '../../../common/s3/sources/dataset';
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import { isS3ObjectKey } from '../../../common/s3/utils';
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const getGridBucket = () => {
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return new connectionMongo.mongo.GridFSBucket(connectionMongo.connection.db!, {
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@@ -19,53 +8,6 @@ const getGridBucket = () => {
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});
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};
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export const createDatasetImage = async ({
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teamId,
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datasetId,
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file,
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expiredTime = addMinutes(new Date(), 30)
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}: {
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teamId: string;
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datasetId: string;
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file: FileType;
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expiredTime?: Date;
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}): Promise<{ imageId: string; previewUrl: string }> => {
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const path = file.path;
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const gridBucket = getGridBucket();
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const metadata = {
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teamId: String(teamId),
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datasetId: String(datasetId),
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expiredTime
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};
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const stats = await fsp.stat(path);
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if (!stats.isFile()) return Promise.reject(`${path} is not a file`);
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const readStream = fs.createReadStream(path, {
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highWaterMark: 256 * 1024
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});
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const chunkSizeBytes = computeGridFsChunSize(stats.size);
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const stream = gridBucket.openUploadStream(file.originalname, {
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metadata,
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contentType: file.mimetype,
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chunkSizeBytes
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});
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// save to gridfs
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await new Promise((resolve, reject) => {
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readStream
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.pipe(stream as any)
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.on('finish', resolve)
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.on('error', reject);
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});
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return {
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imageId: String(stream.id),
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previewUrl: ''
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};
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};
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export const getDatasetImageReadData = async (imageId: string) => {
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// Get file metadata to get contentType
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const fileInfo = await MongoDatasetImageSchema.findOne({
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@@ -81,93 +23,3 @@ export const getDatasetImageReadData = async (imageId: string) => {
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fileInfo
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};
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};
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export const getDatasetImageBase64 = async (imageId: string) => {
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// Get file metadata to get contentType
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const fileInfo = await MongoDatasetImageSchema.findOne({
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_id: new Types.ObjectId(imageId)
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}).lean();
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if (!fileInfo) {
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return Promise.reject(new UserError('Image not found'));
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}
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// Get image stream from GridFS
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const { stream } = await getDatasetImageReadData(imageId);
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// Convert stream to buffer
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const chunks: Buffer[] = [];
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return new Promise<string>((resolve, reject) => {
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stream.on('data', (chunk: Buffer) => {
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chunks.push(chunk);
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});
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stream.on('end', () => {
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// Combine all chunks into a single buffer
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const buffer = Buffer.concat(chunks);
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// Convert buffer to base64 string
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const base64 = buffer.toString('base64');
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const dataUrl = `data:${fileInfo.contentType || 'image/jpeg'};base64,${base64}`;
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resolve(dataUrl);
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});
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stream.on('error', reject);
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});
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};
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export const deleteDatasetImage = async (imageId: string) => {
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const gridBucket = getGridBucket();
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try {
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if (isS3ObjectKey(imageId, 'dataset')) {
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await getS3DatasetSource().deleteDatasetFileByKey(imageId);
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} else {
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await gridBucket.delete(new Types.ObjectId(imageId));
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}
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} catch (error: any) {
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const msg = error?.message;
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if (msg.includes('File not found')) {
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addLog.warn('Delete dataset image error', error);
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return;
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} else {
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return Promise.reject(error);
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}
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}
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};
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export const clearExpiredDatasetImageCron = async () => {
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const gridBucket = getGridBucket();
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const clearExpiredDatasetImages = async () => {
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addLog.debug('Clear expired dataset image start');
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const data = await MongoDatasetImageSchema.find(
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{
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'metadata.expiredTime': { $lt: new Date() }
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},
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'_id'
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).lean();
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for (const item of data) {
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try {
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await gridBucket.delete(new Types.ObjectId(item._id));
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} catch (error) {
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addLog.error('Delete expired dataset image error', error);
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}
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}
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addLog.debug('Clear expired dataset image end');
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};
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setCron('*/10 * * * *', async () => {
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if (
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await checkTimerLock({
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timerId: TimerIdEnum.clearExpiredDatasetImage,
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lockMinuted: 9
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})
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) {
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try {
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await clearExpiredDatasetImages();
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} catch (error) {
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addLog.error('clearExpiredDatasetImageCron error', error);
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}
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}
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});
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};
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