Files
FastGPT/packages/service/core/app/controller.ts
Archer e25d7efb5b feature: V4.11.1 (#5350)
* perf: system toolset & mcp (#5200)

* feat: support system toolset

* fix: type

* fix: system tool config

* chore: mcptool config migrate

* refactor: mcp toolset

* fix: fe type error

* fix: type error

* fix: show version

* chore: support extract tool's secretInputConfig out of inputs

* chore: compatible with old version mcp

* chore: adjust

* deps: update dependency @fastgpt-skd/plugin

* fix: version

* fix: some bug (#5316)

* chore: compatible with old version mcp

* fix: version

* fix: compatible bug

* fix: mcp object params

* fix: type error

* chore: update test cases

* chore: remove log

* fix: toolset node name

* optimize app logs sort (#5310)

* log keys config modal

* multiple select

* api

* fontsize

* code

* chatid

* fix build

* fix

* fix component

* change name

* log keys config

* fix

* delete unused

* fix

* perf: log code

* perf: send auth code modal enter press

* fix log (#5328)

* perf: mcp toolset comment

* perf: log ui

* remove log (#5347)

* doc

* fix: action

* remove log

* fix: Table Optimization (#5319)

* feat: table test: 1

* feat: table test: 2

* feat: table test: 3

* feat: table test: 4

* feat: table test : 5 把maxSize改回chunkSize

* feat: table test : 6 都删了,只看maxSize

* feat: table test : 7 恢复初始,接下来删除标签功能

* feat: table test : 8 删除标签功能

* feat: table test : 9 删除标签功能成功

* feat: table test : 10 继续调试,修改trainingStates

* feat: table test : 11 修改第一步

* feat: table test : 12 修改第二步

* feat: table test : 13 修改了HtmlTable2Md

* feat: table test : 14 修改表头分块规则

* feat: table test : 15 前面表格分的太细了

* feat: table test : 16 改着改着表头又不加了

* feat: table test : 17 用CUSTOM_SPLIT_SIGN不行,重新改

* feat: table test : 18 表头仍然还会多加,但现在分块搞的合理了终于

* feat: table test : 19 还是需要搞好表头问题,先保存一下调试情况

* feat: table test : 20 调试结束,看一下replace有没有问题,没问题就pr

* feat: table test : 21 先把注释删了

* feat: table test : 21 注释replace都改了,下面切main分支看看情况

* feat: table test : 22 修改旧文件

* feat: table test : 23 修改测试文件

* feat: table test : 24 xlsx表格处理

* feat: table test : 25 刚才没保存先com了

* feat: table test : 26 fix

* feat: table test : 27 先com一版调试

* feat: table test : 28 试试放format2csv里

* feat: table test : 29 xlsx解决

* feat: table test : 30 tablesplit解决

* feat: table test : 31

* feat: table test : 32

* perf: table split

* perf: mcp old version compatibility (#5342)

* fix: system-tool secret inputs

* fix: rewrite runtime node i18n for system tool

* perf: mcp old version compatibility

* fix: splitPluginId

* fix: old mcp toolId

* fix: filter secret key

* feat: support system toolset activation

* chore: remove log

* perf: mcp update

* perf: rewrite toolset

* fix:delete variable id (#5335)

* perf: variable update

* fix: multiple select ui

* perf: model config move to plugin

* fix: var conflit

* perf: variable checker

* Avoid empty number

* update doc time

* fix: test

* fix: mcp object

* update count app

* update count app

---------

Co-authored-by: Finley Ge <32237950+FinleyGe@users.noreply.github.com>
Co-authored-by: heheer <heheer@sealos.io>
Co-authored-by: heheer <zhiyu44@qq.com>
Co-authored-by: colnii <1286949794@qq.com>
Co-authored-by: dreamer6680 <1468683855@qq.com>
2025-08-01 16:08:20 +08:00

224 lines
6.1 KiB
TypeScript

import { type AppSchema } from '@fastgpt/global/core/app/type';
import { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
import { AppTypeEnum } from '@fastgpt/global/core/app/constants';
import { MongoApp } from './schema';
import type { StoreNodeItemType } from '@fastgpt/global/core/workflow/type/node';
import { encryptSecretValue, storeSecretValue } from '../../common/secret/utils';
import { SystemToolInputTypeEnum } from '@fastgpt/global/core/app/systemTool/constants';
import { type ClientSession } from '../../common/mongo';
import { MongoEvaluation } from './evaluation/evalSchema';
import { removeEvaluationJob } from './evaluation/mq';
import { deleteChatFiles } from '../chat/controller';
import { MongoChatItem } from '../chat/chatItemSchema';
import { MongoChat } from '../chat/chatSchema';
import { MongoOutLink } from '../../support/outLink/schema';
import { MongoOpenApi } from '../../support/openapi/schema';
import { MongoAppVersion } from './version/schema';
import { MongoChatInputGuide } from '../chat/inputGuide/schema';
import { MongoResourcePermission } from '../../support/permission/schema';
import { PerResourceTypeEnum } from '@fastgpt/global/support/permission/constant';
import { removeImageByPath } from '../../common/file/image/controller';
import { mongoSessionRun } from '../../common/mongo/sessionRun';
import { MongoAppLogKeys } from './logs/logkeysSchema';
export const beforeUpdateAppFormat = ({ nodes }: { nodes?: StoreNodeItemType[] }) => {
if (!nodes) return;
nodes.forEach((node) => {
// Format header secret
node.inputs.forEach((input) => {
if (input.key === NodeInputKeyEnum.headerSecret && typeof input.value === 'object') {
input.value = storeSecretValue(input.value);
}
if (input.key === NodeInputKeyEnum.systemInputConfig && typeof input.value === 'object') {
input.inputList?.forEach((inputItem) => {
if (
inputItem.inputType === 'secret' &&
input.value?.type === SystemToolInputTypeEnum.manual &&
input.value?.value
) {
input.value.value[inputItem.key] = encryptSecretValue(input.value.value[inputItem.key]);
}
});
}
});
// Format dataset search
if (node.flowNodeType === FlowNodeTypeEnum.datasetSearchNode) {
node.inputs.forEach((input) => {
if (input.key === NodeInputKeyEnum.datasetSelectList) {
const val = input.value as undefined | { datasetId: string }[] | { datasetId: string };
if (!val) {
input.value = [];
} else if (Array.isArray(val)) {
// Not rewrite reference value
if (val.length === 2 && val.every((item) => typeof item === 'string')) {
return;
}
input.value = val
.map((dataset: { datasetId: string }) => ({
datasetId: dataset.datasetId
}))
.filter((item) => !!item.datasetId);
} else if (typeof val === 'object' && val !== null) {
input.value = [
{
datasetId: val.datasetId
}
];
}
}
});
}
});
};
/* Get apps */
export async function findAppAndAllChildren({
teamId,
appId,
fields
}: {
teamId: string;
appId: string;
fields?: string;
}): Promise<AppSchema[]> {
const find = async (id: string) => {
const children = await MongoApp.find(
{
teamId,
parentId: id
},
fields
).lean();
let apps = children;
for (const child of children) {
const grandChildrenIds = await find(child._id);
apps = apps.concat(grandChildrenIds);
}
return apps;
};
const [app, childDatasets] = await Promise.all([MongoApp.findById(appId, fields), find(appId)]);
if (!app) {
return Promise.reject('Dataset not found');
}
return [app, ...childDatasets];
}
export const getAppBasicInfoByIds = async ({ teamId, ids }: { teamId: string; ids: string[] }) => {
const apps = await MongoApp.find(
{
teamId,
_id: { $in: ids }
},
'_id name avatar'
).lean();
return apps.map((item) => ({
id: item._id,
name: item.name,
avatar: item.avatar
}));
};
export const onDelOneApp = async ({
teamId,
appId,
session
}: {
teamId: string;
appId: string;
session?: ClientSession;
}) => {
const apps = await findAppAndAllChildren({
teamId,
appId,
fields: '_id avatar'
});
const deletedAppIds = apps
.filter((app) => app.type !== AppTypeEnum.folder)
.map((app) => String(app._id));
// Remove eval job
const evalJobs = await MongoEvaluation.find(
{
appId: { $in: apps.map((app) => app._id) }
},
'_id'
).lean();
await Promise.all(evalJobs.map((evalJob) => removeEvaluationJob(evalJob._id)));
const del = async (session: ClientSession) => {
for await (const app of apps) {
const appId = app._id;
// Chats
await deleteChatFiles({ appId });
await MongoChatItem.deleteMany(
{
appId
},
{ session }
);
await MongoChat.deleteMany(
{
appId
},
{ session }
);
// 删除分享链接
await MongoOutLink.deleteMany({
appId
}).session(session);
// Openapi
await MongoOpenApi.deleteMany({
appId
}).session(session);
// delete version
await MongoAppVersion.deleteMany({
appId
}).session(session);
await MongoChatInputGuide.deleteMany({
appId
}).session(session);
await MongoResourcePermission.deleteMany({
resourceType: PerResourceTypeEnum.app,
teamId,
resourceId: appId
}).session(session);
await MongoAppLogKeys.deleteMany({
appId
}).session(session);
// delete app
await MongoApp.deleteOne(
{
_id: appId
},
{ session }
);
await removeImageByPath(app.avatar, session);
}
};
if (session) {
await del(session);
return deletedAppIds;
}
await mongoSessionRun(del);
return deletedAppIds;
};