Files
FastGPT/packages/service/core/dataset/image/controller.ts
Archer c30f069f2f V4.9.11 feature (#4969)
* Feat: Images dataset collection (#4941)

* New pic (#4858)

* 更新数据集相关类型,添加图像文件ID和预览URL支持;优化数据集导入功能,新增图像数据集处理组件;修复部分国际化文本;更新文件上传逻辑以支持新功能。

* 与原先代码的差别

* 新增 V4.9.10 更新说明,支持 PG 设置`systemEnv.hnswMaxScanTuples`参数,优化 LLM stream 调用超时,修复全文检索多知识库排序问题。同时更新数据集索引,移除 datasetId 字段以简化查询。

* 更换成fileId_image逻辑,并增加训练队列匹配的逻辑

* 新增图片集合判断逻辑,优化预览URL生成流程,确保仅在数据集为图片集合时生成预览URL,并添加相关日志输出以便调试。

* Refactor Docker Compose configuration to comment out exposed ports for production environments, update image versions for pgvector, fastgpt, and mcp_server, and enhance Redis service with a health check. Additionally, standardize dataset collection labels in constants and improve internationalization strings across multiple languages.

* Enhance TrainingStates component by adding internationalization support for the imageParse training mode and update defaultCounts to include imageParse mode in trainingDetail API.

* Enhance dataset import context by adding additional steps for image dataset import process and improve internationalization strings for modal buttons in the useEditTitle hook.

* Update DatasetImportContext to conditionally render MyStep component based on data source type, improving the import process for non-image datasets.

* Refactor image dataset handling by improving internationalization strings, enhancing error messages, and streamlining the preview URL generation process.

* 图片上传到新建的 dataset_collection_images 表,逻辑跟随更改

* 修改了除了controller的其他部分问题

* 把图片数据集的逻辑整合到controller里面

* 补充i18n

* 补充i18n

* resolve评论:主要是上传逻辑的更改和组件复用

* 图片名称的图标显示

* 修改编译报错的命名问题

* 删除不需要的collectionid部分

* 多余文件的处理和改动一个删除按钮

* 除了loading和统一的imageId,其他都resolve掉的

* 处理图标报错

* 复用了MyPhotoView并采用全部替换的方式将imageFileId变成imageId

* 去除不必要文件修改

* 报错和字段修改

* 增加上传成功后删除临时文件的逻辑以及回退一些修改

* 删除path字段,将图片保存到gridfs内,并修改增删等操作的代码

* 修正编译错误

---------

Co-authored-by: archer <545436317@qq.com>

* perf: image dataset

* feat: insert image

* perf: image icon

* fix: training state

---------

Co-authored-by: Zhuangzai fa <143257420+ctrlz526@users.noreply.github.com>

* fix: ts (#4948)

* Thirddatasetmd (#4942)

* add thirddataset.md

* fix thirddataset.md

* fix

* delete wrong png

---------

Co-authored-by: dreamer6680 <146868355@qq.com>

* perf: api dataset code

* perf: log

* add secondary.tsx (#4946)

* add secondary.tsx

* fix

---------

Co-authored-by: dreamer6680 <146868355@qq.com>

* perf: multiple menu

* perf: i18n

* feat: parse queue (#4960)

* feat: parse queue

* feat: sync parse queue

* fix thirddataset.md (#4962)

* fix thirddataset-4.png (#4963)

* feat: Dataset template import (#4934)

* 模版导入部分除了文档还没写

* 修复模版导入的 build 错误

* Document production

* compress pictures

* Change some constants to variables

---------

Co-authored-by: Archer <545436317@qq.com>

* perf: template import

* doc

* llm pargraph

* bocha tool

* fix: del collection

---------

Co-authored-by: Zhuangzai fa <143257420+ctrlz526@users.noreply.github.com>
Co-authored-by: dreamer6680 <1468683855@qq.com>
Co-authored-by: dreamer6680 <146868355@qq.com>
2025-06-06 14:48:44 +08:00

167 lines
4.4 KiB
TypeScript

import { addMinutes } from 'date-fns';
import { bucketName, MongoDatasetImageSchema } from './schema';
import { connectionMongo, Types } from '../../../common/mongo';
import fs from 'fs';
import type { FileType } from '../../../common/file/multer';
import fsp from 'fs/promises';
import { computeGridFsChunSize } from '../../../common/file/gridfs/utils';
import { setCron } from '../../../common/system/cron';
import { checkTimerLock } from '../../../common/system/timerLock/utils';
import { TimerIdEnum } from '../../../common/system/timerLock/constants';
import { addLog } from '../../../common/system/log';
const getGridBucket = () => {
return new connectionMongo.mongo.GridFSBucket(connectionMongo.connection.db!, {
bucketName: bucketName
});
};
export const createDatasetImage = async ({
teamId,
datasetId,
file,
expiredTime = addMinutes(new Date(), 30)
}: {
teamId: string;
datasetId: string;
file: FileType;
expiredTime?: Date;
}): Promise<{ imageId: string; previewUrl: string }> => {
const path = file.path;
const gridBucket = getGridBucket();
const metadata = {
teamId: String(teamId),
datasetId: String(datasetId),
expiredTime
};
const stats = await fsp.stat(path);
if (!stats.isFile()) return Promise.reject(`${path} is not a file`);
const readStream = fs.createReadStream(path, {
highWaterMark: 256 * 1024
});
const chunkSizeBytes = computeGridFsChunSize(stats.size);
const stream = gridBucket.openUploadStream(file.originalname, {
metadata,
contentType: file.mimetype,
chunkSizeBytes
});
// save to gridfs
await new Promise((resolve, reject) => {
readStream
.pipe(stream as any)
.on('finish', resolve)
.on('error', reject);
});
return {
imageId: String(stream.id),
previewUrl: ''
};
};
export const getDatasetImageReadData = async (imageId: string) => {
// Get file metadata to get contentType
const fileInfo = await MongoDatasetImageSchema.findOne({
_id: new Types.ObjectId(imageId)
}).lean();
if (!fileInfo) {
return Promise.reject('Image not found');
}
const gridBucket = getGridBucket();
return {
stream: gridBucket.openDownloadStream(new Types.ObjectId(imageId)),
fileInfo
};
};
export const getDatasetImageBase64 = async (imageId: string) => {
// Get file metadata to get contentType
const fileInfo = await MongoDatasetImageSchema.findOne({
_id: new Types.ObjectId(imageId)
}).lean();
if (!fileInfo) {
return Promise.reject('Image not found');
}
// Get image stream from GridFS
const { stream } = await getDatasetImageReadData(imageId);
// Convert stream to buffer
const chunks: Buffer[] = [];
return new Promise<string>((resolve, reject) => {
stream.on('data', (chunk: Buffer) => {
chunks.push(chunk);
});
stream.on('end', () => {
// Combine all chunks into a single buffer
const buffer = Buffer.concat(chunks);
// Convert buffer to base64 string
const base64 = buffer.toString('base64');
const dataUrl = `data:${fileInfo.contentType || 'image/jpeg'};base64,${base64}`;
resolve(dataUrl);
});
stream.on('error', reject);
});
};
export const deleteDatasetImage = async (imageId: string) => {
const gridBucket = getGridBucket();
try {
await gridBucket.delete(new Types.ObjectId(imageId));
} catch (error: any) {
const msg = error?.message;
if (msg.includes('File not found')) {
addLog.warn('Delete dataset image error', error);
return;
} else {
return Promise.reject(error);
}
}
};
export const clearExpiredDatasetImageCron = async () => {
const gridBucket = getGridBucket();
const clearExpiredDatasetImages = async () => {
addLog.debug('Clear expired dataset image start');
const data = await MongoDatasetImageSchema.find(
{
'metadata.expiredTime': { $lt: new Date() }
},
'_id'
).lean();
for (const item of data) {
try {
await gridBucket.delete(item._id);
} catch (error) {
addLog.error('Delete expired dataset image error', error);
}
}
addLog.debug('Clear expired dataset image end');
};
setCron('*/10 * * * *', async () => {
if (
await checkTimerLock({
timerId: TimerIdEnum.clearExpiredDatasetImage,
lockMinuted: 9
})
) {
try {
await clearExpiredDatasetImages();
} catch (error) {
addLog.error('clearExpiredDatasetImageCron error', error);
}
}
});
};