Files
FastGPT/packages/global/core/app/utils.ts
Archer 952412f648 V4.9.6 feature (#4565)
* 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>
2025-04-16 22:18:51 +08:00

206 lines
6.6 KiB
TypeScript

import type { AppChatConfigType, AppSimpleEditFormType } from '../app/type';
import { FlowNodeTypeEnum } from '../workflow/node/constant';
import { NodeInputKeyEnum, FlowNodeTemplateTypeEnum } from '../workflow/constants';
import type { FlowNodeInputItemType } from '../workflow/type/io.d';
import { getAppChatConfig } from '../workflow/utils';
import { StoreNodeItemType } from '../workflow/type/node';
import { DatasetSearchModeEnum } from '../dataset/constants';
import { WorkflowTemplateBasicType } from '../workflow/type';
import { AppTypeEnum } from './constants';
import { AppErrEnum } from '../../common/error/code/app';
import { PluginErrEnum } from '../../common/error/code/plugin';
export const getDefaultAppForm = (): AppSimpleEditFormType => {
return {
aiSettings: {
model: 'gpt-4o-mini',
systemPrompt: '',
temperature: 0,
isResponseAnswerText: true,
maxHistories: 6,
maxToken: 4000,
aiChatReasoning: true
},
dataset: {
datasets: [],
similarity: 0.4,
limit: 3000,
searchMode: DatasetSearchModeEnum.embedding,
usingReRank: false,
rerankModel: '',
rerankWeight: 0.5,
datasetSearchUsingExtensionQuery: true,
datasetSearchExtensionBg: ''
},
selectedTools: [],
chatConfig: {}
};
};
/* format app nodes to edit form */
export const appWorkflow2Form = ({
nodes,
chatConfig
}: {
nodes: StoreNodeItemType[];
chatConfig: AppChatConfigType;
}) => {
const defaultAppForm = getDefaultAppForm();
const findInputValueByKey = (inputs: FlowNodeInputItemType[], key: string) => {
return inputs.find((item) => item.key === key)?.value;
};
nodes.forEach((node) => {
if (
node.flowNodeType === FlowNodeTypeEnum.chatNode ||
node.flowNodeType === FlowNodeTypeEnum.tools
) {
defaultAppForm.aiSettings.model = findInputValueByKey(node.inputs, NodeInputKeyEnum.aiModel);
defaultAppForm.aiSettings.systemPrompt = findInputValueByKey(
node.inputs,
NodeInputKeyEnum.aiSystemPrompt
);
defaultAppForm.aiSettings.temperature = findInputValueByKey(
node.inputs,
NodeInputKeyEnum.aiChatTemperature
);
defaultAppForm.aiSettings.maxToken = findInputValueByKey(
node.inputs,
NodeInputKeyEnum.aiChatMaxToken
);
defaultAppForm.aiSettings.maxHistories = findInputValueByKey(
node.inputs,
NodeInputKeyEnum.history
);
defaultAppForm.aiSettings.aiChatReasoning = findInputValueByKey(
node.inputs,
NodeInputKeyEnum.aiChatReasoning
);
defaultAppForm.aiSettings.aiChatTopP = findInputValueByKey(
node.inputs,
NodeInputKeyEnum.aiChatTopP
);
defaultAppForm.aiSettings.aiChatStopSign = findInputValueByKey(
node.inputs,
NodeInputKeyEnum.aiChatStopSign
);
defaultAppForm.aiSettings.aiChatResponseFormat = findInputValueByKey(
node.inputs,
NodeInputKeyEnum.aiChatResponseFormat
);
defaultAppForm.aiSettings.aiChatJsonSchema = findInputValueByKey(
node.inputs,
NodeInputKeyEnum.aiChatJsonSchema
);
} else if (node.flowNodeType === FlowNodeTypeEnum.datasetSearchNode) {
defaultAppForm.dataset.datasets = findInputValueByKey(
node.inputs,
NodeInputKeyEnum.datasetSelectList
);
defaultAppForm.dataset.similarity = findInputValueByKey(
node.inputs,
NodeInputKeyEnum.datasetSimilarity
);
defaultAppForm.dataset.limit = findInputValueByKey(
node.inputs,
NodeInputKeyEnum.datasetMaxTokens
);
defaultAppForm.dataset.searchMode =
findInputValueByKey(node.inputs, NodeInputKeyEnum.datasetSearchMode) ||
DatasetSearchModeEnum.embedding;
defaultAppForm.dataset.embeddingWeight = findInputValueByKey(
node.inputs,
NodeInputKeyEnum.datasetSearchEmbeddingWeight
);
// Rerank
defaultAppForm.dataset.usingReRank = !!findInputValueByKey(
node.inputs,
NodeInputKeyEnum.datasetSearchUsingReRank
);
defaultAppForm.dataset.rerankModel = findInputValueByKey(
node.inputs,
NodeInputKeyEnum.datasetSearchRerankModel
);
defaultAppForm.dataset.rerankWeight = findInputValueByKey(
node.inputs,
NodeInputKeyEnum.datasetSearchRerankWeight
);
// Query extension
defaultAppForm.dataset.datasetSearchUsingExtensionQuery = findInputValueByKey(
node.inputs,
NodeInputKeyEnum.datasetSearchUsingExtensionQuery
);
defaultAppForm.dataset.datasetSearchExtensionModel = findInputValueByKey(
node.inputs,
NodeInputKeyEnum.datasetSearchExtensionModel
);
defaultAppForm.dataset.datasetSearchExtensionBg = findInputValueByKey(
node.inputs,
NodeInputKeyEnum.datasetSearchExtensionBg
);
} else if (
node.flowNodeType === FlowNodeTypeEnum.pluginModule ||
node.flowNodeType === FlowNodeTypeEnum.appModule ||
node.flowNodeType === FlowNodeTypeEnum.tool ||
node.flowNodeType === FlowNodeTypeEnum.toolSet
) {
if (!node.pluginId) return;
defaultAppForm.selectedTools.push({
id: node.nodeId,
pluginId: node.pluginId,
name: node.name,
avatar: node.avatar,
intro: node.intro || '',
flowNodeType: node.flowNodeType,
showStatus: node.showStatus,
version: node.version,
inputs: node.inputs,
outputs: node.outputs,
templateType: FlowNodeTemplateTypeEnum.other,
pluginData: node.pluginData
});
} else if (node.flowNodeType === FlowNodeTypeEnum.systemConfig) {
defaultAppForm.chatConfig = getAppChatConfig({
chatConfig,
systemConfigNode: node,
isPublicFetch: true
});
}
});
return defaultAppForm;
};
export const getAppType = (config?: WorkflowTemplateBasicType | AppSimpleEditFormType) => {
if (!config) return '';
if ('aiSettings' in config) {
return AppTypeEnum.simple;
}
if (!('nodes' in config)) return '';
if (config.nodes.some((node) => node.flowNodeType === 'workflowStart')) {
return AppTypeEnum.workflow;
}
if (config.nodes.some((node) => node.flowNodeType === 'pluginInput')) {
return AppTypeEnum.plugin;
}
return '';
};
export const checkAppUnExistError = (error?: string) => {
const unExistError: Array<string> = [
AppErrEnum.unAuthApp,
AppErrEnum.unExist,
PluginErrEnum.unAuth,
PluginErrEnum.unExist
];
if (!!error && unExistError.includes(error)) {
return error;
} else {
return undefined;
}
};