Files
FastGPT/packages/global/core/app/utils.ts
Archer 0720bbe4da V4.9.7 feature (#4669)
* update doc

* feat: Add coupon redemption feature for team subscriptions (#4595)

* feat: Add coupon redemption feature for team subscriptions

- Introduced `TeamCouponSub` and `TeamCouponSchema` types
- Added `redeemCoupon` API endpoint
- Updated UI to include a modal for coupon redemption
- Added new icon and translations for "Redeem coupon"

* perf: remove field teamId

* perf: use dynamic import

* refactor: move to page component

* perf: coupon code

* perf: mcp server

* perf: test

* auto layout (#4634)

* fix 4.9.6 (#4631)

* fix debug quote list

* delete next text node match

* fix extract default boolean value

* export latest 100 chat items

* fix quote item ui

* doc

* fix doc

* feat: auto layout

* perf: auto layout

* fix: auto layout null

* add start node

---------

Co-authored-by: heheer <heheer@sealos.io>

* fix: share link (#4644)

* Add workflow run duration;Get audio duration (#4645)

* add duration

* get audio duration

* Custom config path (#4649)

* feat: 通过环境变量DATA_PATH获取配置文件目录 (#4622)

通过环境变量DATA_PATH获取配置文件目录,以应对不同的部署方式的多样化需求

* feat: custom configjson path

* doc

---------

Co-authored-by: John Chen <sss1991@163.com>

* 程序api调用场景下,如果大量调用带有图片或视频,产生的聊天记录会导致后台mongo数据库异常。这个修改给api客户端一个禁止生成聊天记录的选项,避免这个后果。 (#3964)

* update special chatId

* perf: vector db rename

* update operationLog (#4647)

* update operationLog

* combine operationLogMap

* solve operationI18nLogMap bug

* remoce log

* feat: Rerank usage (#4654)

* refresh concat when update (#4655)

* fix: refresh code

* perf: timer lock

* Fix operationLog (#4657)

* perf: http streamable mcp

* add alipay (#4630)

* perf: subplan ui

* perf: pay code

* hiden bank tip

* Fix: pay error (#4665)

* fix quote number (#4666)

* remove log

---------

Co-authored-by: a.e. <49438478+I-Info@users.noreply.github.com>
Co-authored-by: heheer <heheer@sealos.io>
Co-authored-by: John Chen <sss1991@163.com>
Co-authored-by: gaord <bengao168@msn.com>
Co-authored-by: gggaaallleee <91131304+gggaaallleee@users.noreply.github.com>
2025-04-26 16:17:21 +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: true,
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;
}
};