mirror of
https://github.com/labring/FastGPT.git
synced 2025-07-22 20:37:48 +00:00

* Dashboard submenu (#4545) * add app submenu (#4452) * add app submenu * fix * width & i18n * optimize submenu code (#4515) * optimize submenu code * fix * fix * fix * fix ts * perf: dashboard sub menu * doc --------- Co-authored-by: heheer <heheer@sealos.io> * feat: value format test * doc * Mcp export (#4555) * feat: mcp server * feat: mcp server * feat: mcp server build * update doc * perf: path selector (#4556) * perf: path selector * fix: docker file path * perf: add image endpoint to dataset search (#4557) * perf: add image endpoint to dataset search * fix: mcp_server url * human in loop (#4558) * Support interactive nodes for loops, and enhance the function of merging nested and loop node history messages. (#4552) * feat: add LoopInteractive definition * feat: Support LoopInteractive type and update related logic * fix: Refactor loop handling logic and improve output value initialization * feat: Add mergeSignId to dispatchLoop and dispatchRunAppNode responses * feat: Enhance mergeChatResponseData to recursively merge plugin details and improve response handling * refactor: Remove redundant comments in mergeChatResponseData for clarity * perf: loop interactive * perf: human in loop --------- Co-authored-by: Theresa <63280168+sd0ric4@users.noreply.github.com> * mcp server ui * integrate mcp (#4549) * integrate mcp * delete unused code * fix ts * bug fix * fix * support whole mcp tools * add try catch * fix * fix * fix ts * fix test * fix ts * fix: interactive in v1 completions * doc * fix: router path * fix mcp integrate (#4563) * fix mcp integrate * fix ui * fix: mcp ux * feat: mcp call title * remove repeat loading * fix mcp tools avatar (#4564) * fix * fix avatar * fix update version * update doc * fix: value format * close server and remove cache * perf: avatar --------- Co-authored-by: heheer <heheer@sealos.io> Co-authored-by: Theresa <63280168+sd0ric4@users.noreply.github.com>
105 lines
2.5 KiB
TypeScript
105 lines
2.5 KiB
TypeScript
import { 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 { getLLMModel } from '../ai/model';
|
|
import { MongoApp } from './schema';
|
|
|
|
export const beforeUpdateAppFormat = <T extends AppSchema['modules'] | undefined>({
|
|
nodes,
|
|
isPlugin
|
|
}: {
|
|
nodes: T;
|
|
isPlugin: boolean;
|
|
}) => {
|
|
if (nodes) {
|
|
// Check dataset maxTokens
|
|
if (isPlugin) {
|
|
let maxTokens = 16000;
|
|
|
|
nodes.forEach((item) => {
|
|
if (
|
|
item.flowNodeType === FlowNodeTypeEnum.chatNode ||
|
|
item.flowNodeType === FlowNodeTypeEnum.tools
|
|
) {
|
|
const model =
|
|
item.inputs.find((item) => item.key === NodeInputKeyEnum.aiModel)?.value || '';
|
|
const chatModel = getLLMModel(model);
|
|
const quoteMaxToken = chatModel.quoteMaxToken || 16000;
|
|
|
|
maxTokens = Math.max(maxTokens, quoteMaxToken);
|
|
}
|
|
});
|
|
|
|
nodes.forEach((item) => {
|
|
if (item.flowNodeType === FlowNodeTypeEnum.datasetSearchNode) {
|
|
item.inputs.forEach((input) => {
|
|
if (input.key === NodeInputKeyEnum.datasetMaxTokens) {
|
|
const val = input.value as number;
|
|
if (val > maxTokens) {
|
|
input.value = maxTokens;
|
|
}
|
|
}
|
|
});
|
|
}
|
|
});
|
|
}
|
|
}
|
|
|
|
return {
|
|
nodes
|
|
};
|
|
};
|
|
|
|
/* 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
|
|
}));
|
|
};
|