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Code Issues Packages Projects Releases Wiki Activity

4.7-alpha2 (#1027)

Browse Source 
* feat: stop toolCall and rename some field. (#46)

* perf: node delete tip;pay tip

* fix: toolCall cannot save child answer

* feat: stop tool

* fix: team modal

* fix feckbackMoal  auth bug (#47)

* 简单的支持提示词运行tool。优化workflow模板 (#49)

* remove templates

* fix: request body undefined

* feat: prompt tool run

* feat: workflow tamplates modal

* perf: plugin start

* 4.7 (#50)

* fix docker-compose download url (#994)

original code is a bad url with '404 NOT FOUND' return.
fix docker-compose download url, add 'v' before docker-compose version

* Update ai_settings.md (#1000)

* Update configuration.md

* Update configuration.md

* Fix history in classifyQuestion and extract modules (#1012)

* Fix history in classifyQuestion and extract modules

* Add chatValue2RuntimePrompt import and update text formatting

* flow controller to packages

* fix: rerank select

* modal ui

* perf: modal code path

* point not sufficient

* feat: http url support variable

* fix http key

* perf: prompt

* perf: ai setting modal

* simple edit ui

---------

Co-authored-by: entorick <entorick11@qq.com>
Co-authored-by: liujianglc <liujianglc@163.com>
Co-authored-by: Fengrui Liu <liufengrui.work@bytedance.com>

* fix team share redirect to login (#51)

* feat: support openapi import plugins (#48)

* feat: support openapi import plugins

* feat: import from url

* fix: add body params parse

* fix build

* fix

* fix

* fix

* tool box ui (#52)

* fix: training queue

* feat: simple edit tool select

* perf: simple edit dataset prompt

* fix: chatbox tool ux

* feat: quote prompt module

* perf: plugin tools sign

* perf: model avatar

* tool selector ui

* feat: max histories

* perf: http plugin import (#53)

* perf: plugin http import

* chatBox ui

* perf: name

* fix: Node template card (#54)

* fix: ts

* setting modal

* package

* package

* feat: add plugins search (#57)

* feat: add plugins search

* perf: change http plugin header input

* Yjl (#56)

* perf: prompt tool call

* perf: chat box ux

* doc

* doc

* price tip

* perf: tool selector

* ui'

* fix: vector queue

* fix: empty tool and empty response

* fix: empty msg

* perf: pg index

* perf: ui tip

* doc

* tool tip

---------

Co-authored-by: yst <77910600+yu-and-liu@users.noreply.github.com>
Co-authored-by: entorick <entorick11@qq.com>
Co-authored-by: liujianglc <liujianglc@163.com>
Co-authored-by: Fengrui Liu <liufengrui.work@bytedance.com>
Co-authored-by: heheer <71265218+newfish-cmyk@users.noreply.github.com>
This commit is contained in:
Archer
2024-03-21 13:32:31 +08:00
committed by GitHub
parent 6d4b331db9
commit 9d27de154b
322 changed files with 9282 additions and 6498 deletions
Download Patch File Download Diff File Expand all files Collapse all files

63
projects/app/src/web/common/api/fetch.ts
View File

@@ -10,6 +10,8 @@ import {
EventStreamContentType,
fetchEventSource
} from '@fortaine/fetch-event-source';
import { TeamErrEnum } from '@fastgpt/global/common/error/code/team';
import { useSystemStore } from '../system/useSystemStore';
type StreamFetchProps = {
url?: string;
@@ -34,13 +36,22 @@ export const streamFetch = ({
// response data
let responseText = '';
let remainTextList: { event: `${SseResponseEventEnum}`; text: string }[] = [];
let errMsg = '';
let responseQueue: (
| { event: SseResponseEventEnum.fastAnswer | SseResponseEventEnum.answer; text: string }
| {
event:
| SseResponseEventEnum.toolCall
| SseResponseEventEnum.toolParams
| SseResponseEventEnum.toolResponse;
[key: string]: any;
}
)[] = [];
let errMsg: string | undefined;
let responseData: ChatHistoryItemResType[] = [];
let finished = false;
const finish = () => {
if (errMsg) {
if (errMsg !== undefined) {
return failedFinish();
}
return resolve({
@@ -51,39 +62,41 @@ export const streamFetch = ({
const failedFinish = (err?: any) => {
finished = true;
reject({
message: getErrText(err, errMsg || '响应过程出现异常~'),
message: getErrText(err, errMsg ?? '响应过程出现异常~'),
responseText
});
};
const isAnswerEvent = (event: `${SseResponseEventEnum}`) =>
event === SseResponseEventEnum.answer || event === SseResponseEventEnum.fastAnswer;
// animate response to make it looks smooth
function animateResponseText() {
// abort message
if (abortCtrl.signal.aborted) {
remainTextList.forEach((item) => {
responseQueue.forEach((item) => {
onMessage(item);
if (item.event === SseResponseEventEnum.answer) {
if (isAnswerEvent(item.event)) {
responseText += item.text;
}
});
return finish();
}
if (remainTextList.length > 0) {
const fetchCount = Math.max(1, Math.round(remainTextList.length / 60));
if (responseQueue.length > 0) {
const fetchCount = Math.max(1, Math.round(responseQueue.length / 10));
for (let i = 0; i < fetchCount; i++) {
const item = remainTextList[i];
const item = responseQueue[i];
onMessage(item);
if (item.event === SseResponseEventEnum.answer) {
if (isAnswerEvent(item.event)) {
responseText += item.text;
}
}
remainTextList = remainTextList.slice(fetchCount);
responseQueue = responseQueue.slice(fetchCount);
}
if (finished && remainTextList.length === 0) {
if (finished && responseQueue.length === 0) {
return finish();
}
@@ -153,28 +166,23 @@ export const streamFetch = ({
return {};
}
})();
if (event === SseResponseEventEnum.answer) {
const text: string = parseJson?.choices?.[0]?.delta?.content || '';
for (const item of text) {
remainTextList.push({
event,
text: item
});
}
} else if (event === SseResponseEventEnum.fastAnswer) {
const text: string = parseJson?.choices?.[0]?.delta?.content || '';
remainTextList.push({
// console.log(parseJson, event);
if (event === SseResponseEventEnum.answer || event === SseResponseEventEnum.fastAnswer) {
const text = parseJson.choices?.[0]?.delta?.content || '';
responseQueue.push({
event,
text
});
} else if (
event === SseResponseEventEnum.flowNodeStatus ||
event === SseResponseEventEnum.toolCall ||
event === SseResponseEventEnum.toolParams ||
event === SseResponseEventEnum.toolResponse
) {
responseQueue.push({
event,
...parseJson
});
} else if (event === SseResponseEventEnum.flowNodeStatus) {
onMessage({
event,
...parseJson
@@ -182,6 +190,9 @@ export const streamFetch = ({
} else if (event === SseResponseEventEnum.flowResponses && Array.isArray(parseJson)) {
responseData = parseJson;
} else if (event === SseResponseEventEnum.error) {
if (parseJson.statusText === TeamErrEnum.aiPointsNotEnough) {
useSystemStore.getState().setIsNotSufficientModal(true);
}
errMsg = getErrText(parseJson, '流响应错误');
}
},

10
projects/app/src/web/common/api/request.ts
View File

@@ -6,6 +6,8 @@ import axios, {
} from 'axios';
import { clearToken, getToken } from '@/web/support/user/auth';
import { TOKEN_ERROR_CODE } from '@fastgpt/global/common/error/errorCode';
import { TeamErrEnum } from '@fastgpt/global/common/error/code/team';
import { useSystemStore } from '../system/useSystemStore';
interface ConfigType {
headers?: { [key: string]: string };
@@ -100,7 +102,9 @@ function responseError(err: any) {
if (err?.code in TOKEN_ERROR_CODE) {
clearToken();
if (window.location.pathname !== '/chat/share') {
if (
!(window.location.pathname === '/chat/share' || window.location.pathname === '/chat/team')
) {
window.location.replace(
`/login?lastRoute=${encodeURIComponent(location.pathname + location.search)}`
);
@@ -108,6 +112,10 @@ function responseError(err: any) {
return Promise.reject({ message: '无权操作' });
}
if (err?.statusText === TeamErrEnum.aiPointsNotEnough) {
useSystemStore.getState().setIsNotSufficientModal(true);
return Promise.reject(err);
}
if (err?.response?.data) {
return Promise.reject(err?.response?.data);
}

2
projects/app/src/web/common/hooks/useConfirm.tsx
View File

@@ -1,7 +1,7 @@
import React, { useCallback, useEffect, useMemo, useRef, useState } from 'react';
import { useDisclosure, Button, ModalBody, ModalFooter } from '@chakra-ui/react';
import { useTranslation } from 'next-i18next';
import MyModal from '@/components/MyModal';
import MyModal from '@fastgpt/web/components/common/MyModal';
export const useConfirm = (props?: {
title?: string;

2
projects/app/src/web/common/hooks/useEditTitle.tsx
View File

@@ -1,6 +1,6 @@
import React, { useCallback, useRef } from 'react';
import { ModalFooter, ModalBody, Input, useDisclosure, Button, Box } from '@chakra-ui/react';
import MyModal from '@/components/MyModal';
import MyModal from '@fastgpt/web/components/common/MyModal';
import { useToast } from '@fastgpt/web/hooks/useToast';
import { useTranslation } from 'next-i18next';

15
projects/app/src/web/common/hooks/useRequest.tsx
View File

@@ -24,11 +24,16 @@ export const useRequest = ({ successToast, errorToast, onSuccess, onError, ...pr
},
onError(err: any, variables: void, context: unknown) {
onError?.(err, variables, context);
errorToast &&
toast({
title: t(getErrText(err, errorToast)),
status: 'error'
});
if (errorToast !== undefined) {
const errText = t(getErrText(err, errorToast || ''));
if (errText) {
toast({
title: errText,
status: 'error'
});
}
}
}
});

15
projects/app/src/web/common/system/useSystemStore.ts
View File

@@ -13,7 +13,6 @@ import type {
import { InitDateResponse } from '@/global/common/api/systemRes';
import { FastGPTFeConfigsType } from '@fastgpt/global/common/system/types';
import { SubPlanType } from '@fastgpt/global/support/wallet/sub/type';
import { AppSimpleEditConfigTemplateType } from '@fastgpt/global/core/app/type';
type LoginStoreType = { provider: `${OAuthEnum}`; lastRoute: string; state: string };
@@ -33,6 +32,9 @@ type State = {
gitStar: number;
loadGitStar: () => Promise<void>;
isNotSufficientModal: boolean;
setIsNotSufficientModal: (val: boolean) => void;
feConfigs: FastGPTFeConfigsType;
subPlans?: SubPlanType;
systemVersion: string;
@@ -42,7 +44,6 @@ type State = {
audioSpeechModelList: AudioSpeechModelType[];
reRankModelList: ReRankModelItemType[];
whisperModel?: WhisperModelType;
simpleModeTemplates: AppSimpleEditConfigTemplateType[];
initStaticData: (e: InitDateResponse) => void;
};
@@ -101,6 +102,13 @@ export const useSystemStore = create<State>()(
} catch (error) {}
},
isNotSufficientModal: false,
setIsNotSufficientModal(val: boolean) {
set((state) => {
state.isNotSufficientModal = val;
});
},
feConfigs: {},
subPlans: undefined,
systemVersion: '0.0.0',
@@ -110,7 +118,6 @@ export const useSystemStore = create<State>()(
audioSpeechModelList: [],
reRankModelList: [],
whisperModel: undefined,
simpleModeTemplates: [],
initStaticData(res) {
set((state) => {
state.feConfigs = res.feConfigs || {};
@@ -123,8 +130,6 @@ export const useSystemStore = create<State>()(
state.audioSpeechModelList = res.audioSpeechModels ?? state.audioSpeechModelList;
state.reRankModelList = res.reRankModels ?? state.reRankModelList;
state.whisperModel = res.whisperModel;
state.simpleModeTemplates = res.simpleModeTemplates;
});
}
})),

900
projects/app/src/web/core/app/templates.ts
View File

@@ -10,8 +10,8 @@ export const appTemplates: (AppItemType & {
{
id: 'simpleChat',
avatar: '/imgs/module/AI.png',
name: 'core.app.template.Simple chat',
intro: 'core.app.template.Simple chat desc',
name: '简易模板',
intro: '一个极其简单的 AI 应用，你可以绑定知识库或工具。',
type: AppTypeEnum.simple,
modules: [
{
@@ -290,457 +290,11 @@ export const appTemplates: (AppItemType & {
}
]
},
{
id: 'simpleDatasetChat',
avatar: '/imgs/module/db.png',
name: 'core.app.template.Dataset and guide',
intro: 'core.app.template.Dataset and guide desc',
type: AppTypeEnum.simple,
modules: [
{
moduleId: 'userGuide',
name: 'core.module.template.User guide',
flowType: 'userGuide',
position: {
x: 447.98520778293346,
y: 721.4016845336229
},
inputs: [
{
key: 'welcomeText',
type: 'hidden',
valueType: 'string',
label: 'core.app.Welcome Text',
showTargetInApp: false,
showTargetInPlugin: false,
value: '你好，我是知识库助手，请不要忘记选择知识库噢~\n[你是谁]\n[如何使用]',
connected: false
},
{
key: 'variables',
type: 'hidden',
valueType: 'any',
label: 'core.module.Variable',
value: [],
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
},
{
key: 'questionGuide',
valueType: 'boolean',
type: 'switch',
label: '',
showTargetInApp: false,
showTargetInPlugin: false,
value: false,
connected: false
},
{
key: 'tts',
type: 'hidden',
valueType: 'any',
label: '',
showTargetInApp: false,
showTargetInPlugin: false,
value: {
type: 'web'
},
connected: false
}
],
outputs: []
},
{
moduleId: 'userChatInput',
name: 'core.module.template.Chat entrance',
flowType: 'questionInput',
position: {
x: 324.81436595478294,
y: 1527.0012457753612
},
inputs: [
{
key: 'userChatInput',
type: 'systemInput',
valueType: 'string',
label: 'core.module.input.label.user question',
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
}
],
outputs: [
{
key: 'userChatInput',
label: 'core.module.input.label.user question',
type: 'source',
valueType: 'string',
targets: [
{
moduleId: 'datasetSearch',
key: 'userChatInput'
}
]
}
]
},
{
moduleId: 'datasetSearch',
name: 'core.module.template.Dataset search',
flowType: 'datasetSearchNode',
showStatus: true,
position: {
x: 1351.5043753345153,
y: 947.0780385418003
},
inputs: [
{
key: 'switch',
type: 'target',
label: 'core.module.input.label.switch',
description: 'core.module.input.description.Trigger',
valueType: 'any',
showTargetInApp: true,
showTargetInPlugin: true,
connected: false
},
{
key: 'datasets',
type: 'selectDataset',
label: 'core.module.input.label.Select dataset',
value: [],
valueType: 'selectDataset',
list: [],
required: true,
showTargetInApp: false,
showTargetInPlugin: true,
connected: false
},
{
key: 'similarity',
type: 'selectDatasetParamsModal',
label: '',
value: 0.4,
valueType: 'number',
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
},
{
key: 'limit',
type: 'hidden',
label: '',
value: 1500,
valueType: 'number',
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
},
{
key: 'searchMode',
type: 'hidden',
label: '',
valueType: 'string',
showTargetInApp: false,
showTargetInPlugin: false,
value: 'embedding',
connected: false
},
{
key: 'usingReRank',
type: 'hidden',
label: '',
valueType: 'boolean',
showTargetInApp: false,
showTargetInPlugin: false,
value: false,
connected: false
},
{
key: 'datasetSearchUsingExtensionQuery',
type: 'hidden',
label: '',
valueType: 'boolean',
showTargetInApp: false,
showTargetInPlugin: false,
value: true,
connected: false
},
{
key: 'datasetSearchExtensionModel',
type: 'hidden',
label: '',
valueType: 'string',
showTargetInApp: false,
showTargetInPlugin: false,
value: 'gpt-3.5-turbo',
connected: false
},
{
key: 'datasetSearchExtensionBg',
type: 'hidden',
label: '',
valueType: 'string',
showTargetInApp: false,
showTargetInPlugin: false,
value: '',
connected: false
},
{
key: 'userChatInput',
type: 'custom',
label: '',
required: true,
valueType: 'string',
showTargetInApp: true,
showTargetInPlugin: true,
connected: true
}
],
outputs: [
{
key: 'isEmpty',
label: 'core.module.output.label.Search result empty',
type: 'source',
valueType: 'boolean',
targets: []
},
{
key: 'unEmpty',
label: 'core.module.output.label.Search result not empty',
type: 'source',
valueType: 'boolean',
targets: []
},
{
key: 'quoteQA',
label: 'core.module.Dataset quote.label',
type: 'source',
valueType: 'datasetQuote',
targets: [
{
moduleId: 'chatModule',
key: 'quoteQA'
}
]
},
{
key: 'finish',
label: 'core.module.output.label.running done',
description: 'core.module.output.description.running done',
valueType: 'boolean',
type: 'source',
targets: []
},
{
key: 'userChatInput',
label: 'core.module.input.label.user question',
type: 'hidden',
valueType: 'string',
targets: [
{
moduleId: 'chatModule',
key: 'userChatInput'
}
]
}
]
},
{
moduleId: 'chatModule',
name: 'AI 对话',
flowType: 'chatNode',
showStatus: true,
position: {
x: 2022.7264786978908,
y: 1006.3102431257475
},
inputs: [
{
key: 'switch',
type: 'target',
label: 'core.module.input.label.switch',
description: 'core.module.input.description.Trigger',
valueType: 'any',
showTargetInApp: true,
showTargetInPlugin: true,
connected: false
},
{
key: 'model',
type: 'selectLLMModel',
label: 'core.module.input.label.aiModel',
required: true,
valueType: 'string',
showTargetInApp: false,
showTargetInPlugin: false,
value: 'gpt-3.5-turbo',
connected: false
},
{
key: 'temperature',
type: 'hidden',
label: '',
value: 0,
valueType: 'number',
min: 0,
max: 10,
step: 1,
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
},
{
key: 'maxToken',
type: 'hidden',
label: '',
value: 2000,
valueType: 'number',
min: 100,
max: 4000,
step: 50,
showTargetInApp: false,
showTargetInPlugin: false,
markList: [
{
label: '100',
value: 100
},
{
label: '4000',
value: 4000
}
],
connected: false
},
{
key: 'isResponseAnswerText',
type: 'hidden',
label: '',
value: true,
valueType: 'boolean',
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
},
{
key: 'quoteTemplate',
type: 'hidden',
label: '',
valueType: 'string',
showTargetInApp: false,
showTargetInPlugin: false,
value: '',
connected: false
},
{
key: 'quotePrompt',
type: 'hidden',
label: '',
valueType: 'string',
showTargetInApp: false,
showTargetInPlugin: false,
value: '',
connected: false
},
{
key: 'aiSettings',
type: 'aiSettings',
label: '',
valueType: 'any',
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
},
{
key: 'systemPrompt',
type: 'textarea',
label: 'core.ai.Prompt',
max: 300,
valueType: 'string',
description: 'core.app.tip.chatNodeSystemPromptTip',
placeholder: 'core.app.tip.chatNodeSystemPromptTip',
showTargetInApp: true,
showTargetInPlugin: true,
value: '',
connected: false
},
{
key: 'history',
type: 'numberInput',
label: 'core.module.input.label.chat history',
required: true,
min: 0,
max: 30,
valueType: 'chatHistory',
value: 6,
showTargetInApp: true,
showTargetInPlugin: true,
connected: false
},
{
key: 'userChatInput',
type: 'custom',
label: '',
required: true,
valueType: 'string',
showTargetInApp: true,
showTargetInPlugin: true,
connected: true
},
{
key: 'quoteQA',
type: 'target',
label: '知识库引用',
description: 'core.module.Dataset quote.Input description',
valueType: 'datasetQuote',
showTargetInApp: true,
showTargetInPlugin: true,
connected: true
}
],
outputs: [
{
key: 'answerText',
label: 'core.module.output.label.Ai response content',
description: 'core.module.output.description.Ai response content',
valueType: 'string',
type: 'source',
targets: []
},
{
key: 'finish',
label: 'core.module.output.label.running done',
description: 'core.module.output.description.running done',
valueType: 'boolean',
type: 'source',
targets: []
},
{
key: 'history',
label: 'core.module.output.label.New context',
description: 'core.module.output.description.New context',
valueType: 'chatHistory',
type: 'source',
targets: []
},
{
key: 'userChatInput',
label: 'core.module.input.label.user question',
type: 'hidden',
valueType: 'string',
targets: []
}
]
}
]
},
{
id: 'chatGuide',
avatar: '/imgs/module/userGuide.png',
name: 'core.app.template.Guide and variables',
intro: 'core.app.template.Guide and variables desc',
name: '对话引导 + 变量',
intro: '可以在对话开始发送一段提示，或者让用户填写一些内容，作为本次对话的变量',
type: AppTypeEnum.simple,
modules: [
{
@@ -1052,11 +606,444 @@ export const appTemplates: (AppItemType & {
}
]
},
{
id: 'simpleDatasetChat',
avatar: '/imgs/module/db.png',
name: '知识库+对话引导',
intro: '每次提问时进行一次知识库搜索，将搜索结果注入 LLM 模型进行参考回答',
type: AppTypeEnum.advanced,
modules: [
{
moduleId: 'userGuide',
name: 'core.module.template.User guide',
intro: 'core.app.tip.userGuideTip',
avatar: '/imgs/module/userGuide.png',
flowType: 'userGuide',
position: {
x: 447.98520778293346,
y: 721.4016845336229
},
inputs: [
{
key: 'welcomeText',
type: 'hidden',
valueType: 'string',
label: 'core.app.Welcome Text',
showTargetInApp: false,
showTargetInPlugin: false,
value: '你好，我是知识库助手，请不要忘记选择知识库噢~\n[你是谁]\n[如何使用]',
connected: false
},
{
key: 'variables',
type: 'hidden',
valueType: 'any',
label: 'core.module.Variable',
value: [],
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
},
{
key: 'questionGuide',
valueType: 'boolean',
type: 'switch',
label: '',
showTargetInApp: false,
showTargetInPlugin: false,
value: false,
connected: false
},
{
key: 'tts',
type: 'hidden',
valueType: 'any',
label: '',
showTargetInApp: false,
showTargetInPlugin: false,
value: {
type: 'web'
},
connected: false
}
],
outputs: []
},
{
moduleId: 'userChatInput',
name: 'core.module.template.Chat entrance',
intro: '当用户发送一个内容后，流程将会从这个模块开始执行。',
avatar: '/imgs/module/userChatInput.svg',
flowType: 'questionInput',
position: {
x: 324.81436595478294,
y: 1527.0012457753612
},
inputs: [
{
key: 'userChatInput',
type: 'systemInput',
valueType: 'string',
label: 'core.module.input.label.user question',
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
}
],
outputs: [
{
key: 'userChatInput',
label: 'core.module.input.label.user question',
type: 'source',
valueType: 'string',
targets: [
{
moduleId: '0voh5n',
key: 'userChatInput'
}
]
}
]
},
{
moduleId: '63toub',
name: 'AI 对话',
intro: 'AI 大模型对话',
avatar: '/imgs/module/AI.png',
flowType: 'chatNode',
showStatus: true,
position: {
x: 1962.4010270586014,
y: 1026.9105717680477
},
inputs: [
{
key: 'switch',
type: 'target',
label: 'core.module.input.label.switch',
description: 'core.module.input.description.Trigger',
valueType: 'any',
showTargetInApp: true,
showTargetInPlugin: true,
connected: false
},
{
key: 'model',
type: 'settingLLMModel',
label: 'core.module.input.label.aiModel',
required: true,
valueType: 'string',
showTargetInApp: false,
showTargetInPlugin: false,
value: 'gpt-3.5-turbo',
connected: false
},
{
key: 'temperature',
type: 'hidden',
label: '',
value: 0,
valueType: 'number',
min: 0,
max: 10,
step: 1,
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
},
{
key: 'maxToken',
type: 'hidden',
label: '',
value: 2000,
valueType: 'number',
min: 100,
max: 4000,
step: 50,
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
},
{
key: 'isResponseAnswerText',
type: 'hidden',
label: '',
value: true,
valueType: 'boolean',
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
},
{
key: 'quoteTemplate',
type: 'hidden',
label: '',
valueType: 'string',
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
},
{
key: 'quotePrompt',
type: 'hidden',
label: '',
valueType: 'string',
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
},
{
key: 'systemPrompt',
type: 'textarea',
max: 3000,
valueType: 'string',
label: 'core.ai.Prompt',
description: 'core.app.tip.chatNodeSystemPromptTip',
placeholder: 'core.app.tip.chatNodeSystemPromptTip',
showTargetInApp: true,
showTargetInPlugin: true,
connected: false
},
{
key: 'history',
type: 'numberInput',
label: 'core.module.input.label.chat history',
required: true,
min: 0,
max: 30,
valueType: 'chatHistory',
value: 6,
showTargetInApp: true,
showTargetInPlugin: true,
connected: false
},
{
key: 'userChatInput',
type: 'custom',
label: '',
required: true,
valueType: 'string',
showTargetInApp: true,
showTargetInPlugin: true,
toolDescription: '用户问题',
connected: true
},
{
key: 'quoteQA',
type: 'settingDatasetQuotePrompt',
label: '知识库引用',
description: 'core.module.Dataset quote.Input description',
valueType: 'datasetQuote',
showTargetInApp: true,
showTargetInPlugin: true,
connected: true
}
],
outputs: [
{
key: 'userChatInput',
label: 'core.module.input.label.user question',
type: 'hidden',
valueType: 'string',
targets: []
},
{
key: 'history',
label: 'core.module.output.label.New context',
description: 'core.module.output.description.New context',
valueType: 'chatHistory',
type: 'source',
targets: []
},
{
key: 'answerText',
label: 'core.module.output.label.Ai response content',
description: 'core.module.output.description.Ai response content',
valueType: 'string',
type: 'source',
targets: []
},
{
key: 'finish',
label: 'core.module.output.label.running done',
description: 'core.module.output.description.running done',
valueType: 'boolean',
type: 'source',
targets: []
}
]
},
{
moduleId: '0voh5n',
name: '知识库搜索',
intro: '调用知识库搜索能力，查找“有可能”与问题相关的内容',
avatar: '/imgs/module/db.png',
flowType: 'datasetSearchNode',
showStatus: true,
position: {
x: 1098.245668870126,
y: 1166.7285333032098
},
inputs: [
{
key: 'switch',
type: 'target',
label: 'core.module.input.label.switch',
description: 'core.module.input.description.Trigger',
valueType: 'any',
showTargetInApp: true,
showTargetInPlugin: true,
connected: false
},
{
key: 'datasets',
type: 'selectDataset',
label: 'core.module.input.label.Select dataset',
value: [],
valueType: 'selectDataset',
list: [],
required: true,
showTargetInApp: false,
showTargetInPlugin: true,
connected: false
},
{
key: 'similarity',
type: 'selectDatasetParamsModal',
label: '',
value: 0.4,
valueType: 'number',
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
},
{
key: 'limit',
type: 'hidden',
label: '',
value: 1500,
valueType: 'number',
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
},
{
key: 'searchMode',
type: 'hidden',
label: '',
valueType: 'string',
showTargetInApp: false,
showTargetInPlugin: false,
value: 'embedding',
connected: false
},
{
key: 'usingReRank',
type: 'hidden',
label: '',
valueType: 'boolean',
showTargetInApp: false,
showTargetInPlugin: false,
value: false,
connected: false
},
{
key: 'datasetSearchUsingExtensionQuery',
type: 'hidden',
label: '',
valueType: 'boolean',
showTargetInApp: false,
showTargetInPlugin: false,
value: true,
connected: false
},
{
key: 'datasetSearchExtensionModel',
type: 'hidden',
label: '',
valueType: 'string',
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
},
{
key: 'datasetSearchExtensionBg',
type: 'hidden',
label: '',
valueType: 'string',
showTargetInApp: false,
showTargetInPlugin: false,
value: '',
connected: false
},
{
key: 'userChatInput',
type: 'custom',
label: '',
required: true,
valueType: 'string',
showTargetInApp: true,
showTargetInPlugin: true,
toolDescription: '需要检索的内容',
connected: true
}
],
outputs: [
{
key: 'userChatInput',
label: 'core.module.input.label.user question',
type: 'hidden',
valueType: 'string',
targets: [
{
moduleId: '63toub',
key: 'userChatInput'
}
]
},
{
key: 'isEmpty',
label: 'core.module.output.label.Search result empty',
type: 'source',
valueType: 'boolean',
targets: []
},
{
key: 'unEmpty',
label: 'core.module.output.label.Search result not empty',
type: 'source',
valueType: 'boolean',
targets: []
},
{
key: 'quoteQA',
label: 'core.module.Dataset quote.label',
type: 'source',
valueType: 'datasetQuote',
targets: [
{
moduleId: '63toub',
key: 'quoteQA'
}
]
},
{
key: 'finish',
label: 'core.module.output.label.running done',
description: 'core.module.output.description.running done',
valueType: 'boolean',
type: 'source',
targets: []
}
]
}
]
},
{
id: 'CQ',
avatar: '/imgs/module/cq.png',
name: 'core.app.template.Classify and dataset',
intro: 'core.app.template.Classify and dataset desc',
name: '问题分类 + 知识库',
intro: '先对用户的问题进行分类，再根据不同类型问题，执行不同的操作',
type: AppTypeEnum.advanced,
modules: [
{
@@ -1408,15 +1395,6 @@ export const appTemplates: (AppItemType & {
showTargetInPlugin: false,
connected: false
},
{
key: 'aiSettings',
type: 'aiSettings',
label: '',
valueType: 'any',
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
},
{
key: 'systemPrompt',
type: 'textarea',

579
projects/app/src/web/core/app/utils.ts
View File

@@ -1,13 +1,13 @@
import { AppSimpleEditFormType } from '@fastgpt/global/core/app/type';
import { ModuleItemType } from '@fastgpt/global/core/module/type';
import { POST } from '@/web/common/api/request';
import { FlowNodeInputTypeEnum, FlowNodeTypeEnum } from '@fastgpt/global/core/module/node/constant';
import { ModuleInputKeyEnum } from '@fastgpt/global/core/module/constants';
import type { FormatForm2ModulesProps } from '@fastgpt/global/core/app/api.d';
import { useSystemStore } from '@/web/common/system/useSystemStore';
import { ModuleIOValueTypeEnum, ModuleInputKeyEnum } from '@fastgpt/global/core/module/constants';
import { UserInputModule } from '@fastgpt/global/core/module/template/system/userInput';
import { ToolModule } from '@fastgpt/global/core/module/template/system/tools';
import { DatasetSearchModule } from '@fastgpt/global/core/module/template/system/datasetSearch';
import { getNanoid } from '@fastgpt/global/common/string/tools';
export async function postForm2Modules(data: AppSimpleEditFormType) {
const llmModelList = useSystemStore.getState().llmModelList;
function userGuideTemplate(formData: AppSimpleEditFormType): ModuleItemType[] {
return [
{
@@ -48,16 +48,569 @@ export async function postForm2Modules(data: AppSimpleEditFormType) {
}
];
}
const maxToken =
llmModelList.find((item) => item.model === data.aiSettings.model)?.maxResponse || 4000;
function simpleChatTemplate(formData: AppSimpleEditFormType): ModuleItemType[] {
return [
{
moduleId: 'userChatInput',
name: 'core.module.template.Chat entrance',
avatar: '/imgs/module/userChatInput.png',
flowType: 'questionInput',
position: {
x: 464.32198615344566,
y: 1602.2698463081606
},
inputs: [
{
key: 'userChatInput',
type: 'systemInput',
valueType: 'string',
label: 'core.module.input.label.user question',
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
}
],
outputs: [
{
key: 'userChatInput',
label: 'core.module.input.label.user question',
type: 'source',
valueType: 'string',
targets: [
{
moduleId: 'chatModule',
key: 'userChatInput'
}
]
}
]
},
{
moduleId: 'chatModule',
name: 'AI 对话',
avatar: '/imgs/module/AI.png',
flowType: 'chatNode',
showStatus: true,
position: {
x: 981.9682828103937,
y: 890.014595014464
},
inputs: [
{
key: 'switch',
type: 'target',
label: 'core.module.input.label.switch',
valueType: 'any',
showTargetInApp: true,
showTargetInPlugin: true,
connected: false
},
{
key: 'model',
type: 'selectLLMModel',
label: 'core.module.input.label.aiModel',
required: true,
valueType: 'string',
showTargetInApp: false,
showTargetInPlugin: false,
value: formData.aiSettings.model,
connected: false
},
{
key: 'temperature',
type: 'hidden',
label: '温度',
value: formData.aiSettings.temperature,
valueType: 'number',
min: 0,
max: 10,
step: 1,
markList: [
{
label: '严谨',
value: 0
},
{
label: '发散',
value: 10
}
],
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
},
{
key: 'maxToken',
type: 'hidden',
label: '回复上限',
value: formData.aiSettings.maxToken,
valueType: 'number',
min: 100,
max: 4000,
step: 50,
markList: [
{
label: '100',
value: 100
},
{
label: '4000',
value: 4000
}
],
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
},
{
key: 'isResponseAnswerText',
type: 'hidden',
label: '返回AI内容',
value: true,
valueType: 'boolean',
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
},
{
key: 'quoteTemplate',
type: 'hidden',
label: '引用内容模板',
valueType: 'string',
showTargetInApp: false,
showTargetInPlugin: false,
value: '',
connected: false
},
{
key: 'quotePrompt',
type: 'hidden',
label: '引用内容提示词',
valueType: 'string',
showTargetInApp: false,
showTargetInPlugin: false,
value: '',
connected: false
},
{
key: 'aiSettings',
type: 'aiSettings',
label: '',
valueType: 'any',
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
},
{
key: 'systemPrompt',
type: 'textarea',
label: 'core.ai.Prompt',
max: 300,
valueType: 'string',
description:
'模型固定的引导词，通过调整该内容，可以引导模型聊天方向。该内容会被固定在上下文的开头。可使用变量，例如 {{language}}',
placeholder:
'模型固定的引导词，通过调整该内容，可以引导模型聊天方向。该内容会被固定在上下文的开头。可使用变量，例如 {{language}}',
showTargetInApp: true,
showTargetInPlugin: true,
value: formData.aiSettings.systemPrompt,
connected: false
},
{
key: 'history',
type: 'numberInput',
label: 'core.module.input.label.chat history',
required: true,
min: 0,
max: 30,
valueType: 'chatHistory',
value: formData.aiSettings.maxHistories,
showTargetInApp: true,
showTargetInPlugin: true,
connected: false
},
{
key: 'quoteQA',
type: 'target',
label: '引用内容',
description: "对象数组格式，结构：\n [{q:'问题',a:'回答'}]",
valueType: 'datasetQuote',
showTargetInApp: true,
showTargetInPlugin: true,
connected: false
},
{
key: 'userChatInput',
type: 'target',
label: 'core.module.input.label.user question',
required: true,
valueType: 'string',
showTargetInApp: true,
showTargetInPlugin: true,
connected: true
}
],
outputs: [
{
key: 'answerText',
label: 'AI回复',
description: '将在 stream 回复完毕后触发',
valueType: 'string',
type: 'source',
targets: []
},
{
key: 'finish',
label: 'core.module.output.label.running done',
description: 'core.module.output.description.running done',
valueType: 'boolean',
type: 'source',
targets: []
},
{
key: 'history',
label: '新的上下文',
description: '将本次回复内容拼接上历史记录，作为新的上下文返回',
valueType: 'chatHistory',
type: 'source',
targets: []
}
]
}
];
}
function toolTemplates(formData: AppSimpleEditFormType): ModuleItemType[] {
let tools: ModuleItemType[] =
formData.dataset.datasets.length > 0
? [
{
moduleId: getNanoid(6),
name: DatasetSearchModule.name,
intro: DatasetSearchModule.intro,
avatar: DatasetSearchModule.avatar,
flowType: DatasetSearchModule.flowType,
showStatus: DatasetSearchModule.showStatus,
position: {
x: 1000,
y: 2143
},
inputs: [
{
key: 'switch',
type: 'target',
label: 'core.module.input.label.switch',
description: 'core.module.input.description.Trigger',
valueType: 'any',
showTargetInApp: true,
showTargetInPlugin: true,
connected: false
},
{
key: 'datasets',
type: 'selectDataset',
label: '关联的知识库',
value: formData.dataset.datasets,
valueType: 'selectDataset',
required: true,
showTargetInApp: false,
showTargetInPlugin: true,
connected: false
},
{
key: 'similarity',
type: 'selectDatasetParamsModal',
label: '',
value: formData.dataset.similarity,
valueType: 'number',
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
},
{
key: 'limit',
type: 'hidden',
label: '',
value: formData.dataset.limit,
valueType: 'number',
showTargetInApp: false,
showTargetInPlugin: false,
connected: false
},
{
key: 'searchMode',
type: 'hidden',
label: '',
valueType: 'string',
showTargetInApp: false,
showTargetInPlugin: false,
value: formData.dataset.searchMode,
connected: false
},
{
key: 'usingReRank',
type: 'hidden',
label: '',
valueType: 'boolean',
showTargetInApp: false,
showTargetInPlugin: false,
value: formData.dataset.usingReRank,
connected: false
},
{
key: 'datasetSearchUsingExtensionQuery',
type: 'hidden',
label: '',
valueType: 'boolean',
showTargetInApp: false,
showTargetInPlugin: false,
value: formData.dataset.datasetSearchUsingExtensionQuery,
connected: false
},
{
key: 'datasetSearchExtensionModel',
type: 'hidden',
label: '',
valueType: 'string',
showTargetInApp: false,
showTargetInPlugin: false,
connected: false,
value: formData.dataset.datasetSearchExtensionModel
},
{
key: 'datasetSearchExtensionBg',
type: 'hidden',
label: '',
valueType: 'string',
showTargetInApp: false,
showTargetInPlugin: false,
value: formData.dataset.datasetSearchExtensionBg,
connected: false
},
{
key: 'userChatInput',
type: 'custom',
label: '',
required: true,
valueType: 'string',
showTargetInApp: true,
showTargetInPlugin: true,
toolDescription: '需要检索的内容',
connected: false
}
],
outputs: [
{
key: 'userChatInput',
label: 'core.module.input.label.user question',
type: 'hidden',
valueType: 'string',
targets: []
},
{
key: 'isEmpty',
label: 'core.module.output.label.Search result empty',
type: 'source',
valueType: 'boolean',
targets: []
},
{
key: 'unEmpty',
label: 'core.module.output.label.Search result not empty',
type: 'source',
valueType: 'boolean',
targets: []
},
{
key: 'quoteQA',
label: 'core.module.Dataset quote.label',
type: 'source',
valueType: 'datasetQuote',
targets: []
},
{
key: 'finish',
label: 'core.module.output.label.running done',
description: 'core.module.output.description.running done',
valueType: 'boolean',
type: 'source',
targets: []
}
]
}
]
: [];
const props: FormatForm2ModulesProps = {
formData: data,
chatModelMaxToken: maxToken,
llmModelList
};
tools = tools.concat(
formData.selectedTools.map((tool, i) => ({
moduleId: getNanoid(6),
name: tool.name,
intro: tool.intro,
avatar: tool.avatar,
flowType: tool.flowType,
showStatus: tool.showStatus,
position: {
x: 1000 + (300 * i + 1),
y: 2143
},
inputs: tool.inputs,
outputs: tool.outputs
}))
);
const modules: ModuleItemType[] = [
{
moduleId: 'userChatInput',
name: UserInputModule.name,
intro: UserInputModule.intro,
avatar: UserInputModule.avatar,
flowType: UserInputModule.flowType,
position: {
x: 324.81436595478294,
y: 1527.0012457753612
},
inputs: UserInputModule.inputs,
outputs: [
{
...UserInputModule.outputs[0],
targets: [
{
moduleId: 'yt7o6j',
key: 'userChatInput'
}
]
}
]
},
{
moduleId: 'yt7o6j',
name: ToolModule.name,
intro: ToolModule.intro,
avatar: ToolModule.avatar,
flowType: ToolModule.flowType,
showStatus: ToolModule.showStatus,
position: {
x: 890.8756545707358,
y: 1078.2777133587558
},
inputs: [
{
key: 'switch',
type: 'target',
label: 'core.module.input.label.switch',
description: 'core.module.input.description.Trigger',
valueType: 'any',
showTargetInApp: true,
showTargetInPlugin: true,
connected: false
},
{
key: 'model',
type: 'selectLLMModel',
label: 'core.module.input.label.aiModel',
required: true,
valueType: 'string',
showTargetInApp: false,
showTargetInPlugin: false,
llmModelType: 'toolCall',
value: formData.aiSettings.model,
connected: false
},
{
key: ModuleInputKeyEnum.aiChatTemperature,
type: FlowNodeInputTypeEnum.hidden, // Set in the pop-up window
label: '',
value: formData.aiSettings.temperature,
valueType: ModuleIOValueTypeEnum.number,
min: 0,
max: 10,
step: 1,
showTargetInApp: false,
showTargetInPlugin: false
},
{
key: ModuleInputKeyEnum.aiChatMaxToken,
type: FlowNodeInputTypeEnum.hidden, // Set in the pop-up window
label: '',
value: formData.aiSettings.maxToken,
valueType: ModuleIOValueTypeEnum.number,
min: 100,
max: 4000,
step: 50,
showTargetInApp: false,
showTargetInPlugin: false
},
{
key: 'systemPrompt',
type: 'textarea',
max: 3000,
valueType: 'string',
label: 'core.ai.Prompt',
description: 'core.app.tip.chatNodeSystemPromptTip',
placeholder: 'core.app.tip.chatNodeSystemPromptTip',
showTargetInApp: true,
showTargetInPlugin: true,
connected: false,
value: formData.aiSettings.systemPrompt
},
{
key: 'history',
type: 'numberInput',
label: 'core.module.input.label.chat history',
required: true,
min: 0,
max: 30,
valueType: 'chatHistory',
value: formData.aiSettings.maxHistories,
showTargetInApp: true,
showTargetInPlugin: true,
connected: false
},
{
key: 'userChatInput',
type: 'custom',
label: '',
required: true,
valueType: 'string',
showTargetInApp: true,
showTargetInPlugin: true,
connected: true
}
],
outputs: [
{
key: 'userChatInput',
label: 'core.module.input.label.user question',
type: 'hidden',
valueType: 'string',
targets: []
},
{
key: 'selectedTools',
valueType: 'tools',
type: 'hidden',
targets: tools.map((tool) => ({
moduleId: tool.moduleId,
key: 'selectedTools'
}))
},
{
key: 'finish',
label: 'core.module.output.label.running done',
description: 'core.module.output.description.running done',
valueType: 'boolean',
type: 'source',
targets: []
}
]
},
...tools
];
const modules = await POST<ModuleItemType[]>(`/core/app/form2Modules/fastgpt-universal`, props);
return modules;
}
const modules =
data.dataset.datasets.length > 0 || data.selectedTools.length > 0
? toolTemplates(data)
: simpleChatTemplate(data);
return [...userGuideTemplate(data), ...modules];
}

2
projects/app/src/web/core/dataset/components/SelectCollections.tsx
View File

@@ -1,5 +1,5 @@
import MyIcon from '@fastgpt/web/components/common/Icon';
import MyModal from '@/components/MyModal';
import MyModal from '@fastgpt/web/components/common/MyModal';
import ParentPaths from '@/components/common/ParentPaths';
import { useRequest } from '@/web/common/hooks/useRequest';
import { getDatasetCollectionPathById, getDatasetCollections } from '@/web/core/dataset/api';

27
projects/app/src/web/core/plugin/api.ts
View File

@@ -1,5 +1,7 @@
import { GET, POST, DELETE, PUT } from '@/web/common/api/request';
import { FlowModuleTemplateType } from '@fastgpt/global/core/module/type';
import { FlowNodeTemplateType } from '@fastgpt/global/core/module/type';
import { ParentTreePathItemType } from '@fastgpt/global/common/parentFolder/type';
import { PluginTypeEnum } from '@fastgpt/global/core/plugin/constants';
import {
CreateOnePluginParams,
PluginListItemType,
@@ -10,9 +12,24 @@ import { PluginItemSchema } from '@fastgpt/global/core/plugin/type';
export const postCreatePlugin = (data: CreateOnePluginParams) =>
POST<string>('/core/plugin/create', data);
export const putUpdatePlugin = (data: UpdatePluginParams) => PUT('/core/plugin/update', data);
export const getUserPlugins = () => GET<PluginListItemType[]>('/core/plugin/list');
export const getPlugTemplates = () => GET<FlowModuleTemplateType[]>('/core/plugin/templates');
export const getPluginPaths = (parentId?: string) =>
GET<ParentTreePathItemType[]>('/core/plugin/paths', { parentId });
// http plugin
export const getApiSchemaByUrl = (url: string) =>
POST<Object>('/core/plugin/httpPlugin/getApiSchemaByUrl', { url });
/* work flow */
export const getPlugTemplates = () => GET<FlowNodeTemplateType[]>('/core/plugin/templates');
export const getUserPlugins = (data: { parentId?: string; type?: `${PluginTypeEnum}` }) =>
GET<PluginListItemType[]>('/core/plugin/list', data);
export const getTeamPlugTemplates = (data: { parentId?: string | null; searchKey?: string }) =>
GET<FlowNodeTemplateType[]>('/core/plugin/pluginTemplate/getTeamPluginTemplates', data);
export const getSystemPlugTemplates = () =>
GET<FlowNodeTemplateType[]>('/core/plugin/pluginTemplate/getSystemPluginTemplates');
export const getPreviewPluginModule = (id: string) =>
GET<FlowModuleTemplateType>('/core/plugin/getPreviewModule', { id });
GET<FlowNodeTemplateType>('/core/plugin/getPreviewModule', { id });
export const getOnePlugin = (id: string) => GET<PluginItemSchema>('/core/plugin/detail', { id });
export const delOnePlugin = (id: string) => DELETE('/core/plugin/delete', { id });
export const delOnePlugin = (pluginId: string) => DELETE('/core/plugin/delete', { pluginId });

28
projects/app/src/web/core/plugin/store/plugin.ts
View File

@@ -1,28 +0,0 @@
import { create } from 'zustand';
import { devtools } from 'zustand/middleware';
import { immer } from 'zustand/middleware/immer';
import { getPlugTemplates } from '../api';
import { FlowModuleTemplateType } from '@fastgpt/global/core/module/type';
type State = {
pluginModuleTemplates: FlowModuleTemplateType[];
loadPluginTemplates: (init?: boolean) => Promise<FlowModuleTemplateType[]>;
};
export const usePluginStore = create<State>()(
devtools(
immer((set, get) => ({
pluginModuleTemplates: [],
async loadPluginTemplates(init) {
if (!init && get().pluginModuleTemplates.length > 0) {
return get().pluginModuleTemplates;
}
const templates = await getPlugTemplates();
set((state) => {
state.pluginModuleTemplates = templates;
});
return templates;
}
}))
)
);

0
projects/app/src/web/core/modules/constants/dataType.ts → projects/app/src/web/core/workflow/constants/dataType.ts
View File

64
projects/app/src/web/core/workflow/store/workflow.ts Normal file
View File

@@ -0,0 +1,64 @@
import { create } from 'zustand';
import { devtools, persist } from 'zustand/middleware';
import { immer } from 'zustand/middleware/immer';
import { FlowNodeTemplateType } from '@fastgpt/global/core/module/type';
import { getTeamPlugTemplates, getSystemPlugTemplates } from '../../plugin/api';
type State = {
basicNodeTemplates: FlowNodeTemplateType[];
setBasicNodeTemplates: (basicNodeTemplates: FlowNodeTemplateType[]) => void;
systemNodeTemplates: FlowNodeTemplateType[];
loadSystemNodeTemplates: (init?: boolean) => Promise<FlowNodeTemplateType[]>;
teamPluginNodeTemplates: FlowNodeTemplateType[];
loadTeamPluginNodeTemplates: (e?: {
parentId?: string | null;
searchKey?: string;
init?: boolean;
}) => Promise<FlowNodeTemplateType[]>;
};
export const useWorkflowStore = create<State>()(
devtools(
persist(
immer((set, get) => ({
basicNodeTemplates: [],
setBasicNodeTemplates: (basicNodeTemplates) => {
set((state) => {
state.basicNodeTemplates = basicNodeTemplates;
});
},
systemNodeTemplates: [],
async loadSystemNodeTemplates(init) {
if (!init && get().systemNodeTemplates.length > 0) {
return get().systemNodeTemplates;
}
const templates = await getSystemPlugTemplates();
set((state) => {
state.systemNodeTemplates = templates;
});
return templates;
},
teamPluginNodeTemplates: [],
async loadTeamPluginNodeTemplates(e) {
const { parentId = null, searchKey, init } = e || {};
if (!init && get().teamPluginNodeTemplates.length > 0) {
return get().teamPluginNodeTemplates;
}
const templates = await getTeamPlugTemplates({
parentId: parentId || null,
searchKey: searchKey
});
set((state) => {
state.teamPluginNodeTemplates = templates;
});
return templates;
}
})),
{
name: 'datasetStore',
partialize: (state) => ({})
}
)
)
);

12
projects/app/src/web/styles/reset.scss
View File

@@ -46,16 +46,12 @@ svg {
div {
&::-webkit-scrollbar-thumb {
background: transparent !important;
background: rgba(189, 193, 197, 0.7) !important;
transition: background 1s;
}
&:hover {
&::-webkit-scrollbar-thumb {
background: rgba(189, 193, 197, 0.7) !important;
}
&::-webkit-scrollbar-thumb:hover {
background: rgba(189, 193, 197, 1) !important;
}
&::-webkit-scrollbar-thumb:hover {
background: rgba(189, 193, 197, 1) !important;
}
}