Files
FastGPT/packages/service/core/dataset/controller.ts
Archer 064c64e74c V4.6.9-first commit (#899)
* perf: insert mongo dataset data session

* perf: dataset data index

* remove delay

* rename bill schema

* rename bill record

* perf: bill table

* perf: prompt

* perf: sub plan

* change the usage count

* feat: usage bill

* publish usages

* doc

* 新增团队聊天功能 (#20)

* perf: doc

* feat 添加标签部分

feat 信息团队标签配置

feat 新增团队同步管理

feat team分享页面

feat 完成team分享页面

feat 实现模糊搜索

style 格式化

fix 修复迷糊匹配

style 样式修改

fix 团队标签功能修复

* fix 修复鉴权功能

* merge 合并代码

* fix 修复引用错误

* fix 修复pr问题

* fix 修复ts格式问题

---------

Co-authored-by: archer <545436317@qq.com>
Co-authored-by: liuxingwan <liuxingwan.lxw@alibaba-inc.com>

* update extra plan

* fix: ts

* format

* perf: bill field

* feat: standard plan

* fix: ts

* feat 个人账号页面修改 (#22)

* feat 添加标签部分

feat 信息团队标签配置

feat 新增团队同步管理

feat team分享页面

feat 完成team分享页面

feat 实现模糊搜索

style 格式化

fix 修复迷糊匹配

style 样式修改

fix 团队标签功能修复

* fix 修复鉴权功能

* merge 合并代码

* fix 修复引用错误

* fix 修复pr问题

* fix 修复ts格式问题

* feat 修改个人账号页

---------

Co-authored-by: liuxingwan <liuxingwan.lxw@alibaba-inc.com>

* sub plan page (#23)

* fix chunk index; error page text

* feat: dataset process Integral prediction

* feat: stand plan field

* feat: sub plan limit

* perf: index

* query extension

* perf: share link push app name

* perf: plan point unit

* perf: get sub plan

* perf: account page

* feat 新增套餐详情弹窗代码 (#24)

* merge 合并代码

* fix 新增套餐详情弹框

* fix 修复pr问题

* feat: change http node input to prompt editor (#21)

* feat: change http node input to prompt editor

* fix

* split PromptEditor to HttpInput

* Team plans (#25)

* perf: pay check

* perf: team plan test

* plan limit check

* replace sensitive text

* perf: fix some null

* collection null check

* perf: plans modal

* perf: http module

* pacakge (#26)

* individuation page and pay modal amount (#27)

* feat: individuation page

* team chat config

* pay modal

* plan count and replace invalid chars (#29)

* fix: user oneapi

* fix: training queue

* fix: qa queue

* perf: remove space chars

* replace invalid chars

* change httpinput dropdown menu (#28)

* perf: http

* reseet free plan

* perf: plan code to packages

* remove llm config to package

* perf: code

* perf: faq

* fix: get team plan

---------

Co-authored-by: yst <77910600+yu-and-liu@users.noreply.github.com>
Co-authored-by: liuxingwan <liuxingwan.lxw@alibaba-inc.com>
Co-authored-by: heheer <71265218+newfish-cmyk@users.noreply.github.com>
2024-02-28 13:19:15 +08:00

87 lines
2.1 KiB
TypeScript

import { CollectionWithDatasetType, DatasetSchemaType } from '@fastgpt/global/core/dataset/type';
import { MongoDatasetCollection } from './collection/schema';
import { MongoDataset } from './schema';
import { delCollectionAndRelatedSources } from './collection/controller';
import { ClientSession } from '../../common/mongo';
/* ============= dataset ========== */
/* find all datasetId by top datasetId */
export async function findDatasetAndAllChildren({
teamId,
datasetId,
fields
}: {
teamId: string;
datasetId: string;
fields?: string;
}): Promise<DatasetSchemaType[]> {
const find = async (id: string) => {
const children = await MongoDataset.find(
{
teamId,
parentId: id
},
fields
).lean();
let datasets = children;
for (const child of children) {
const grandChildrenIds = await find(child._id);
datasets = datasets.concat(grandChildrenIds);
}
return datasets;
};
const [dataset, childDatasets] = await Promise.all([
MongoDataset.findById(datasetId),
find(datasetId)
]);
if (!dataset) {
return Promise.reject('Dataset not found');
}
return [dataset, ...childDatasets];
}
export async function getCollectionWithDataset(collectionId: string) {
const data = (await MongoDatasetCollection.findById(collectionId)
.populate('datasetId')
.lean()) as CollectionWithDatasetType;
if (!data) {
return Promise.reject('Collection is not exist');
}
return data;
}
/* delete all data by datasetIds */
export async function delDatasetRelevantData({
datasets,
session
}: {
datasets: DatasetSchemaType[];
session: ClientSession;
}) {
if (!datasets.length) return;
const teamId = datasets[0].teamId;
if (!teamId) {
return Promise.reject('teamId is required');
}
const datasetIds = datasets.map((item) => String(item._id));
// Get _id, teamId, fileId, metadata.relatedImgId for all collections
const collections = await MongoDatasetCollection.find(
{
teamId,
datasetId: { $in: datasetIds }
},
'_id teamId fileId metadata'
).lean();
await delCollectionAndRelatedSources({ collections, session });
}