Files
FastGPT/packages/global/core/app/utils.ts
Archer db2c0a0bdb V4.8.20 feature (#3686)
* Aiproxy (#3649)

* model config

* feat: model config ui

* perf: rename variable

* feat: custom request url

* perf: model buffer

* perf: init model

* feat: json model config

* auto login

* fix: ts

* update packages

* package

* fix: dockerfile

* feat: usage filter & export & dashbord (#3538)

* feat: usage filter & export & dashbord

* adjust ui

* fix tmb scroll

* fix code & selecte all

* merge

* perf: usages list;perf: move components (#3654)

* perf: usages list

* team sub plan load

* perf: usage dashboard code

* perf: dashboard ui

* perf: move components

* add default model config (#3653)

* 4.8.20 test (#3656)

* provider

* perf: model config

* model perf (#3657)

* fix: model

* dataset quote

* perf: model config

* model tag

* doubao model config

* perf: config model

* feat: model test

* fix: POST 500 error on dingtalk bot (#3655)

* feat: default model (#3662)

* move model config

* feat: default model

* fix: false triggerd org selection (#3661)

* export usage csv i18n (#3660)

* export usage csv i18n

* fix build

* feat: markdown extension (#3663)

* feat: markdown extension

* media cros

* rerank test

* default price

* perf: default model

* fix: cannot custom provider

* fix: default model select

* update bg

* perf: default model selector

* fix: usage export

* i18n

* fix: rerank

* update init extension

* perf: ip limit check

* doubao model order

* web default modle

* perf: tts selector

* perf: tts error

* qrcode package

* reload buffer (#3665)

* reload buffer

* reload buffer

* tts selector

* fix: err tip (#3666)

* fix: err tip

* perf: training queue

* doc

* fix interactive edge (#3659)

* fix interactive edge

* fix

* comment

* add gemini model

* fix: chat model select

* perf: supplement assistant empty response (#3669)

* perf: supplement assistant empty response

* check array

* perf: max_token count;feat: support resoner output;fix: member scroll (#3681)

* perf: supplement assistant empty response

* check array

* perf: max_token count

* feat: support resoner output

* member scroll

* update provider order

* i18n

* fix: stream response (#3682)

* perf: supplement assistant empty response

* check array

* fix: stream response

* fix: model config cannot set to null

* fix: reasoning response (#3684)

* perf: supplement assistant empty response

* check array

* fix: reasoning response

* fix: reasoning response

* doc (#3685)

* perf: supplement assistant empty response

* check array

* doc

* lock

* animation

* update doc

* update compose

* doc

* doc

---------

Co-authored-by: heheer <heheer@sealos.io>
Co-authored-by: a.e. <49438478+I-Info@users.noreply.github.com>
2025-02-05 00:10:47 +08:00

150 lines
4.8 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';
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: 1500,
searchMode: DatasetSearchModeEnum.embedding,
usingReRank: false,
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
);
} 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.usingReRank = !!findInputValueByKey(
node.inputs,
NodeInputKeyEnum.datasetSearchUsingReRank
);
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
) {
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
});
} 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 '';
};