mirror of
https://github.com/labring/FastGPT.git
synced 2025-10-17 00:14:51 +00:00

* add logs chart (#5352) * charts * chart data * log chart * delete * rename api * fix * move api * fix * fix * pro config * fix * feat: Repository interaction (#5356) * feat: 1好像功能没问题了,明天再测 * feat: 2 解决了昨天遗留的bug,但全选按钮又bug了 * feat: 3 第三版,解决了全选功能bug * feat: 4 第四版,下面改小细节 * feat: 5 我勒个痘 * feat: 6 * feat: 6 pr * feat: 7 * feat: 8 * feat: 9 * feat: 10 * feat: 11 * feat: 12 * perf: checkbox ui * refactor: tweak login loyout (#5357) Co-authored-by: Archer <545436317@qq.com> * login ui * app chat log chart pro display (#5392) * app chat log chart pro display * add canopen props * perf: pro tag tip * perf: pro tag tip * feat: openrouter provider (#5406) * perf: login ui * feat: openrouter provider * provider * perf: custom error throw * perf: emb batch (#5407) * perf: emb batch * perf: vector retry * doc * doc (#5411) * doc * fix: team folder will add to workflow * fix: generateToc shell * Tool price (#5376) * resolve conflicts for cherry-pick * fix i18n * Enhance system plugin template data structure and update ToolSelectModal to include CostTooltip component * refactor: update systemKeyCost type to support array of objects in plugin and workflow types * refactor: simplify systemKeyCost type across plugin and workflow types to a single number * refactor: streamline systemKeyCost handling in plugin and workflow components * fix * fix * perf: toolset price config;fix: workflow array selector ui (#5419) * fix: workflow array selector ui * update default model tip * perf: toolset price config * doc * fix: test * Refactor/chat (#5418) * refactor: add homepage configuration; add home chat page; add side bar animated collapse and layout * fix: fix lint rules * chore: improve logics and code * chore: more clearer logics * chore: adjust api --------- Co-authored-by: Archer <545436317@qq.com> * perf: chat setting code * del history * logo image * perf: home chat ui * feat: enhance chat response handling with external links and user info (#5427) * feat: enhance chat response handling with external links and user info * fix * cite code * perf: toolset add in workflow * fix: test * fix: search paraentId * Fix/chat (#5434) * wip: rebase了upstream * wip: adapt mobile UI * fix: fix chat page logic and UI * fix: fix UI and improve some logics * fix: model selector missing logo; vision model to retrieve file * perf: role selector * fix: chat ui * optimize export app chat log (#5436) * doc * chore: move components to proper directory; fix the api to get app list (#5437) * chore: improve team app panel display form (#5438) * feat: add home chat log tab * chore: improve team app panel display form * chore: improve log panel * fix: spec * doc * fix: log permission * fix: dataset schema required * add loading status * remove ui weight * manage log * fix: log detail per * doc * fix: log menu * rename permission * bg color * fix: app log per * fix: log key selector * fix: log * doc --------- Co-authored-by: heheer <zhiyu44@qq.com> Co-authored-by: colnii <1286949794@qq.com> Co-authored-by: 伍闲犬 <76519998+xqvvu@users.noreply.github.com> Co-authored-by: Ctrlz <143257420+ctrlz526@users.noreply.github.com> Co-authored-by: 伍闲犬 <whoeverimf5@gmail.com> Co-authored-by: heheer <heheer@sealos.io>
167 lines
4.5 KiB
TypeScript
167 lines
4.5 KiB
TypeScript
import { type DatasetSchemaType } from '@fastgpt/global/core/dataset/type';
|
|
import { MongoDatasetCollection } from './collection/schema';
|
|
import { MongoDataset } from './schema';
|
|
import { delCollectionRelatedSource } from './collection/controller';
|
|
import { type ClientSession } from '../../common/mongo';
|
|
import { MongoDatasetTraining } from './training/schema';
|
|
import { MongoDatasetData } from './data/schema';
|
|
import { deleteDatasetDataVector } from '../../common/vectorDB/controller';
|
|
import { MongoDatasetDataText } from './data/dataTextSchema';
|
|
import { DatasetErrEnum } from '@fastgpt/global/common/error/code/dataset';
|
|
import { retryFn } from '@fastgpt/global/common/system/utils';
|
|
import { clearDatasetImages } from './image/utils';
|
|
import { MongoDatasetCollectionTags } from './tag/schema';
|
|
import { removeDatasetSyncJobScheduler } from './datasetSync';
|
|
import { mongoSessionRun } from '../../common/mongo/sessionRun';
|
|
import { removeImageByPath } from '../../common/file/image/controller';
|
|
import { UserError } from '@fastgpt/global/common/error/utils';
|
|
|
|
/* ============= 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).lean(),
|
|
find(datasetId)
|
|
]);
|
|
|
|
if (!dataset) {
|
|
return Promise.reject(new UserError('Dataset not found'));
|
|
}
|
|
|
|
return [dataset, ...childDatasets];
|
|
}
|
|
|
|
export async function getCollectionWithDataset(collectionId: string) {
|
|
const data = await MongoDatasetCollection.findById(collectionId)
|
|
.populate<{ dataset: DatasetSchemaType }>('dataset')
|
|
.lean();
|
|
if (!data) {
|
|
return Promise.reject(DatasetErrEnum.unExistCollection);
|
|
}
|
|
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(new UserError('TeamId is required'));
|
|
}
|
|
|
|
const datasetIds = datasets.map((item) => item._id);
|
|
|
|
// Get _id, teamId, fileId, metadata.relatedImgId for all collections
|
|
const collections = await MongoDatasetCollection.find(
|
|
{
|
|
teamId,
|
|
datasetId: { $in: datasetIds }
|
|
},
|
|
'_id teamId datasetId fileId metadata'
|
|
).lean();
|
|
|
|
await retryFn(async () => {
|
|
await Promise.all([
|
|
// delete training data
|
|
MongoDatasetTraining.deleteMany({
|
|
teamId,
|
|
datasetId: { $in: datasetIds }
|
|
}),
|
|
//Delete dataset_data_texts
|
|
MongoDatasetDataText.deleteMany({
|
|
teamId,
|
|
datasetId: { $in: datasetIds }
|
|
}),
|
|
//delete dataset_datas
|
|
MongoDatasetData.deleteMany({ teamId, datasetId: { $in: datasetIds } }),
|
|
// Delete collection image and file
|
|
delCollectionRelatedSource({ collections }),
|
|
// Delete dataset Image
|
|
clearDatasetImages(datasetIds),
|
|
// Delete vector data
|
|
deleteDatasetDataVector({ teamId, datasetIds })
|
|
]);
|
|
});
|
|
|
|
// delete collections
|
|
await MongoDatasetCollection.deleteMany({
|
|
teamId,
|
|
datasetId: { $in: datasetIds }
|
|
}).session(session);
|
|
}
|
|
|
|
export const deleteDatasets = async ({
|
|
teamId,
|
|
datasets
|
|
}: {
|
|
teamId: string;
|
|
datasets: DatasetSchemaType[];
|
|
}) => {
|
|
const datasetIds = datasets.map((d) => d._id);
|
|
|
|
// delete collection.tags
|
|
await MongoDatasetCollectionTags.deleteMany({
|
|
teamId,
|
|
datasetId: { $in: datasetIds }
|
|
});
|
|
|
|
// Remove cron job
|
|
await Promise.all(
|
|
datasets.map((dataset) => {
|
|
return removeDatasetSyncJobScheduler(dataset._id);
|
|
})
|
|
);
|
|
|
|
// delete all dataset.data and pg data
|
|
await mongoSessionRun(async (session) => {
|
|
// delete dataset data
|
|
await delDatasetRelevantData({ datasets, session });
|
|
|
|
// delete dataset
|
|
await MongoDataset.deleteMany(
|
|
{
|
|
_id: { $in: datasetIds }
|
|
},
|
|
{ session }
|
|
);
|
|
|
|
for await (const dataset of datasets) {
|
|
await removeImageByPath(dataset.avatar, session);
|
|
}
|
|
});
|
|
};
|