Files
FastGPT/packages/service/common/file/gridfs/controller.ts
2024-06-07 12:54:30 +08:00

195 lines
4.6 KiB
TypeScript

import { Types, connectionMongo } from '../../mongo';
import { BucketNameEnum } from '@fastgpt/global/common/file/constants';
import fsp from 'fs/promises';
import fs from 'fs';
import { DatasetFileSchema } from '@fastgpt/global/core/dataset/type';
import { MongoFileSchema } from './schema';
import { detectFileEncoding } from '@fastgpt/global/common/file/tools';
import { CommonErrEnum } from '@fastgpt/global/common/error/code/common';
import { MongoRawTextBuffer } from '../../buffer/rawText/schema';
import { readRawContentByFileBuffer } from '../read/utils';
import { gridFsStream2Buffer } from './utils';
export function getGFSCollection(bucket: `${BucketNameEnum}`) {
MongoFileSchema;
return connectionMongo.connection.db.collection(`${bucket}.files`);
}
export function getGridBucket(bucket: `${BucketNameEnum}`) {
return new connectionMongo.mongo.GridFSBucket(connectionMongo.connection.db, {
bucketName: bucket
});
}
/* crud file */
export async function uploadFile({
bucketName,
teamId,
tmbId,
path,
filename,
contentType,
metadata = {}
}: {
bucketName: `${BucketNameEnum}`;
teamId: string;
tmbId: string;
path: string;
filename: string;
contentType?: string;
metadata?: Record<string, any>;
}) {
if (!path) return Promise.reject(`filePath is empty`);
if (!filename) return Promise.reject(`filename is empty`);
const stats = await fsp.stat(path);
if (!stats.isFile()) return Promise.reject(`${path} is not a file`);
metadata.teamId = teamId;
metadata.tmbId = tmbId;
// create a gridfs bucket
const bucket = getGridBucket(bucketName);
const stream = bucket.openUploadStream(filename, {
metadata,
contentType
});
// save to gridfs
await new Promise((resolve, reject) => {
fs.createReadStream(path)
.pipe(stream as any)
.on('finish', resolve)
.on('error', reject);
});
return String(stream.id);
}
export async function getFileById({
bucketName,
fileId
}: {
bucketName: `${BucketNameEnum}`;
fileId: string;
}) {
const db = getGFSCollection(bucketName);
const file = await db.findOne<DatasetFileSchema>({
_id: new Types.ObjectId(fileId)
});
// if (!file) {
// return Promise.reject('File not found');
// }
return file || undefined;
}
export async function delFileByFileIdList({
bucketName,
fileIdList,
retry = 3
}: {
bucketName: `${BucketNameEnum}`;
fileIdList: string[];
retry?: number;
}): Promise<any> {
try {
const bucket = getGridBucket(bucketName);
await Promise.all(fileIdList.map((id) => bucket.delete(new Types.ObjectId(id))));
} catch (error) {
if (retry > 0) {
return delFileByFileIdList({ bucketName, fileIdList, retry: retry - 1 });
}
}
}
export async function getDownloadStream({
bucketName,
fileId
}: {
bucketName: `${BucketNameEnum}`;
fileId: string;
}) {
const bucket = getGridBucket(bucketName);
const encodeStream = bucket.openDownloadStream(new Types.ObjectId(fileId), { end: 100 });
const rawStream = bucket.openDownloadStream(new Types.ObjectId(fileId));
/* get encoding */
const buffer = await gridFsStream2Buffer(encodeStream);
const encoding = detectFileEncoding(buffer);
return {
fileStream: rawStream,
encoding
// encoding: 'utf-8'
};
}
export const readFileContentFromMongo = async ({
teamId,
bucketName,
fileId,
isQAImport = false
}: {
teamId: string;
bucketName: `${BucketNameEnum}`;
fileId: string;
isQAImport?: boolean;
}): Promise<{
rawText: string;
filename: string;
}> => {
// read buffer
const fileBuffer = await MongoRawTextBuffer.findOne({ sourceId: fileId }).lean();
if (fileBuffer) {
return {
rawText: fileBuffer.rawText,
filename: fileBuffer.metadata?.filename || ''
};
}
const start = Date.now();
const [file, { encoding, fileStream }] = await Promise.all([
getFileById({ bucketName, fileId }),
getDownloadStream({ bucketName, fileId })
]);
// console.log('get file stream', Date.now() - start);
if (!file) {
return Promise.reject(CommonErrEnum.fileNotFound);
}
const extension = file?.filename?.split('.')?.pop()?.toLowerCase() || '';
const fileBuffers = await gridFsStream2Buffer(fileStream);
// console.log('get file buffer', Date.now() - start);
const { rawText } = await readRawContentByFileBuffer({
extension,
isQAImport,
teamId,
buffer: fileBuffers,
encoding,
metadata: {
relatedId: fileId
}
});
if (rawText.trim()) {
MongoRawTextBuffer.create({
sourceId: fileId,
rawText,
metadata: {
filename: file.filename
}
});
}
return {
rawText,
filename: file.filename
};
};