Commit b1aafde7 by Archer Committed by GitHub

4.8.1 test-fix (#1561)

parent 87e4afe8
......@@ -25,6 +25,8 @@ weight: 350
curl --location --request GET 'http://localhost:3000/api/core/chat/inputGuide/query?appId=663c75302caf8315b1c00194&searchKey=你'
```
其中 `appId` 为应用ID,`searchKey` 为搜索关键字,最多是50个字符。
**响应**
```json
......@@ -43,6 +45,8 @@ curl --location --request GET 'http://localhost:3000/api/core/chat/inputGuide/qu
}
```
data是一个数组,包含了搜索到的问题,最多只需要返回5个问题。
**参数说明:**
......
......@@ -118,6 +118,7 @@ export enum NodeOutputKeyEnum {
answerText = 'answerText', // module answer. the value will be show and save to history
success = 'success',
failed = 'failed',
error = 'error',
text = 'system_text',
addOutputParam = 'system_addOutputParam',
......
......@@ -89,6 +89,7 @@ export const AiChatModule: FlowNodeTemplateType = {
{
id: NodeOutputKeyEnum.history,
key: NodeOutputKeyEnum.history,
required: true,
label: 'core.module.output.label.New context',
description: 'core.module.output.description.New context',
valueType: WorkflowIOValueTypeEnum.chatHistory,
......@@ -97,6 +98,7 @@ export const AiChatModule: FlowNodeTemplateType = {
{
id: NodeOutputKeyEnum.answerText,
key: NodeOutputKeyEnum.answerText,
required: true,
label: 'core.module.output.label.Ai response content',
description: 'core.module.output.description.Ai response content',
valueType: WorkflowIOValueTypeEnum.string,
......
......@@ -24,6 +24,7 @@ export const AssignedAnswerModule: FlowNodeTemplateType = {
key: NodeInputKeyEnum.answerText,
renderTypeList: [FlowNodeInputTypeEnum.textarea, FlowNodeInputTypeEnum.reference],
valueType: WorkflowIOValueTypeEnum.any,
required: true,
label: 'core.module.input.label.Response content',
description: 'core.module.input.description.Response content',
placeholder: 'core.module.input.description.Response content'
......
......@@ -68,6 +68,7 @@ export const ClassifyQuestionModule: FlowNodeTemplateType = {
{
id: NodeOutputKeyEnum.cqResult,
key: NodeOutputKeyEnum.cqResult,
required: true,
label: '分类结果',
valueType: WorkflowIOValueTypeEnum.string,
type: FlowNodeOutputTypeEnum.static
......
......@@ -60,25 +60,20 @@ export const ContextExtractModule: FlowNodeTemplateType = {
}
],
outputs: [
// {
// id: NodeOutputKeyEnum.success,
// key: NodeOutputKeyEnum.success,
// label: '字段完全提取',
// valueType: WorkflowIOValueTypeEnum.boolean,
// type: FlowNodeOutputTypeEnum.source
// },
// {
// id: NodeOutputKeyEnum.failed,
// key: NodeOutputKeyEnum.failed,
// label: '提取字段缺失',
// description: '存在一个或多个字段未提取成功。尽管使用了默认值也算缺失。',
// valueType: WorkflowIOValueTypeEnum.boolean,
// type: FlowNodeOutputTypeEnum.source
// },
{
id: NodeOutputKeyEnum.success,
key: NodeOutputKeyEnum.success,
label: '字段完全提取',
required: true,
description: '提取字段全部填充时返回 true (模型提取或使用默认值均属于成功)',
valueType: WorkflowIOValueTypeEnum.boolean,
type: FlowNodeOutputTypeEnum.static
},
{
id: NodeOutputKeyEnum.contextExtractFields,
key: NodeOutputKeyEnum.contextExtractFields,
label: '完整提取结果',
required: true,
description: '一个 JSON 字符串,例如:{"name:":"YY","Time":"2023/7/2 18:00"}',
valueType: WorkflowIOValueTypeEnum.string,
type: FlowNodeOutputTypeEnum.static
......
......@@ -82,9 +82,18 @@ export const HttpModule468: FlowNodeTemplateType = {
outputs: [
Output_Template_AddOutput,
{
id: NodeOutputKeyEnum.error,
key: NodeOutputKeyEnum.error,
label: '请求错误',
description: 'HTTP请求错误信息,成功时返回空',
valueType: WorkflowIOValueTypeEnum.object,
type: FlowNodeOutputTypeEnum.static
},
{
id: NodeOutputKeyEnum.httpRawResponse,
key: NodeOutputKeyEnum.httpRawResponse,
label: '原始响应',
required: true,
description: 'HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。',
valueType: WorkflowIOValueTypeEnum.any,
type: FlowNodeOutputTypeEnum.static
......
......@@ -43,6 +43,7 @@ export const RunAppModule: FlowNodeTemplateType = {
label: '新的上下文',
description: '将该应用回复内容拼接到历史记录中,作为新的上下文返回',
valueType: WorkflowIOValueTypeEnum.chatHistory,
required: true,
type: FlowNodeOutputTypeEnum.static
},
{
......
export const chatNodeSystemPromptTip = 'core.app.tip.chatNodeSystemPromptTip';
export const welcomeTextTip = 'core.app.tip.welcomeTextTip';
export const variableTip = 'core.app.tip.variableTip';
......@@ -175,7 +175,7 @@ export const pluginData2FlowNodeIO = (
};
export const formatEditorVariablePickerIcon = (
variables: { key: string; label: string; type?: `${VariableInputEnum}` }[]
variables: { key: string; label: string; type?: `${VariableInputEnum}`; required?: boolean }[]
): EditorVariablePickerType[] => {
return variables.map((item) => ({
...item,
......
......@@ -39,6 +39,10 @@ export async function connectMongo({
global.mongodb?.disconnect();
global.mongodb = undefined;
});
mongoose.connection.on('disconnected', () => {
console.log('mongo disconnected');
global.mongodb = undefined;
});
console.log('mongo connected');
......
......@@ -32,3 +32,5 @@ export const systemStartCb = () => {
// process.exit(1); // 退出进程
});
};
export const surrenderProcess = () => new Promise((resolve) => setImmediate(resolve));
......@@ -132,17 +132,19 @@ export const embeddingRecall = async (
): Promise<{
results: EmbeddingRecallItemType[];
}> => {
const { datasetIds, vectors, limit, retry = 2 } = props;
const { teamId, datasetIds, vectors, limit, retry = 2 } = props;
try {
const results: any = await PgClient.query(
`BEGIN;
`
BEGIN;
SET LOCAL hnsw.ef_search = ${global.systemEnv?.pgHNSWEfSearch || 100};
select id, collection_id, vector <#> '[${vectors[0]}]' AS score
from ${PgDatasetTableName}
where dataset_id IN (${datasetIds.map((id) => `'${String(id)}'`).join(',')})
where team_id='${teamId}'
AND dataset_id IN (${datasetIds.map((id) => `'${String(id)}'`).join(',')})
order by score limit ${limit};
COMMIT;`
COMMIT;`
);
const rows = results?.[2]?.rows as PgSearchRawType[];
......
......@@ -35,8 +35,7 @@ type Props = ModuleDispatchProps<{
[NodeInputKeyEnum.aiModel]: string;
}>;
type Response = DispatchNodeResultType<{
[NodeOutputKeyEnum.success]?: boolean;
[NodeOutputKeyEnum.failed]?: boolean;
[NodeOutputKeyEnum.success]: boolean;
[NodeOutputKeyEnum.contextExtractFields]: string;
}>;
......@@ -119,9 +118,7 @@ export async function dispatchContentExtract(props: Props): Promise<Response> {
});
return {
// [DispatchNodeResponseKeyEnum.skipHandleId]: success
// ? [getHandleId(nodeId, 'source', NodeOutputKeyEnum.failed)]
// : [getHandleId(nodeId, 'source', NodeOutputKeyEnum.success)],
[NodeOutputKeyEnum.success]: success,
[NodeOutputKeyEnum.contextExtractFields]: JSON.stringify(arg),
...arg,
[DispatchNodeResponseKeyEnum.nodeResponse]: {
......
import { NextApiResponse } from 'next';
import { NodeInputKeyEnum, WorkflowIOValueTypeEnum } from '@fastgpt/global/core/workflow/constants';
import { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
import { DispatchNodeResponseKeyEnum } from '@fastgpt/global/core/workflow/runtime/constants';
import { NodeOutputKeyEnum } from '@fastgpt/global/core/workflow/constants';
import type { ChatDispatchProps } from '@fastgpt/global/core/workflow/type/index.d';
......@@ -45,6 +45,7 @@ import { getReferenceVariableValue } from '@fastgpt/global/core/workflow/runtime
import { dispatchSystemConfig } from './init/systemConfig';
import { dispatchUpdateVariable } from './tools/runUpdateVar';
import { addLog } from '../../../common/system/log';
import { surrenderProcess } from '../../../common/system/tools';
const callbackMap: Record<FlowNodeTypeEnum, Function> = {
[FlowNodeTypeEnum.workflowStart]: dispatchWorkflowStart,
......@@ -206,25 +207,34 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
}
function checkNodeCanRun(nodes: RuntimeNodeItemType[] = []): Promise<any> {
return Promise.all(
nodes.map((node) => {
nodes.map(async (node) => {
const status = checkNodeRunStatus({
node,
runtimeEdges
});
if (res?.closed || props.maxRunTimes <= 0) return;
props.maxRunTimes--;
console.log(props.maxRunTimes, user._id);
await surrenderProcess();
if (status === 'run') {
addLog.info(`[dispatchWorkFlow] nodeRunWithActive: ${node.name}`);
return nodeRunWithActive(node);
}
if (status === 'skip') {
addLog.info(`[dispatchWorkFlow] nodeRunWithActive: ${node.name}`);
addLog.info(`[dispatchWorkFlow] nodeRunWithSkip: ${node.name}`);
return nodeRunWithSkip(node);
}
return [];
return;
})
).then((result) => {
const flat = result.flat();
const flat = result.flat().filter(Boolean) as unknown as {
node: RuntimeNodeItemType;
result: Record<string, any>;
}[];
if (flat.length === 0) return;
// Update the node output at the end of the run and get the next nodes
......@@ -267,7 +277,6 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
return params;
}
async function nodeRunWithActive(node: RuntimeNodeItemType) {
if (res?.closed || props.maxRunTimes <= 0) return [];
// push run status messages
if (res && stream && detail && node.showStatus) {
responseStatus({
......@@ -277,8 +286,6 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
});
}
props.maxRunTimes--;
// get node running params
const params = getNodeRunParams(node);
......
......@@ -33,7 +33,7 @@ type HttpRequestProps = ModuleDispatchProps<{
[key: string]: any;
}>;
type HttpResponse = DispatchNodeResultType<{
[NodeOutputKeyEnum.failed]?: boolean;
[NodeOutputKeyEnum.error]?: object;
[key: string]: any;
}>;
......@@ -159,20 +159,16 @@ export const dispatchHttp468Request = async (props: HttpRequestProps): Promise<H
} catch (error) {
addLog.error('Http request error', error);
if (isToolCall) {
return {
[NodeOutputKeyEnum.failed]: true,
[DispatchNodeResponseKeyEnum.nodeResponse]: {
totalPoints: 0,
params: Object.keys(params).length > 0 ? params : undefined,
body: Object.keys(requestBody).length > 0 ? requestBody : undefined,
headers: Object.keys(headers).length > 0 ? headers : undefined,
httpResult: { error: formatHttpError(error) }
},
[NodeOutputKeyEnum.httpRawResponse]: getErrText(error)
};
}
return Promise.reject(error);
return {
[NodeOutputKeyEnum.error]: formatHttpError(error),
[DispatchNodeResponseKeyEnum.nodeResponse]: {
params: Object.keys(params).length > 0 ? params : undefined,
body: Object.keys(requestBody).length > 0 ? requestBody : undefined,
headers: Object.keys(headers).length > 0 ? headers : undefined,
httpResult: { error: formatHttpError(error) }
},
[NodeOutputKeyEnum.httpRawResponse]: getErrText(error)
};
}
};
......
......@@ -170,10 +170,7 @@ export async function parseHeaderCert({
/* set cookie */
export const setCookie = (res: NextApiResponse, token: string) => {
res.setHeader(
'Set-Cookie',
`token=${token}; Path=/; HttpOnly; Max-Age=604800; Samesite=Strict; Secure;`
);
res.setHeader('Set-Cookie', `token=${token}; Path=/; HttpOnly; Max-Age=604800; Samesite=Strict;`);
};
/* clear cookie */
export const clearCookie = (res: NextApiResponse) => {
......
......@@ -67,7 +67,12 @@ const MyRightDrawer = ({
<DrawerCloseButton position={'relative'} fontSize={'sm'} top={0} right={0} />
</Flex>
<DrawerBody overflow={'hidden'} px={props?.px}>
<DrawerBody
overflowY={props?.overflowY || 'auto'}
display={'flex'}
flexDirection={'column'}
px={props?.px ?? 4}
>
{children}
<Loading loading={isLoading} fixed={false} />
</DrawerBody>
......
......@@ -98,6 +98,7 @@ const MySelect = (
</MenuButton>
<MenuList
className={props.className}
minW={(() => {
const w = ref.current?.clientWidth;
if (w) {
......
......@@ -3,12 +3,12 @@ import MyTooltip from '.';
import { IconProps, QuestionOutlineIcon } from '@chakra-ui/icons';
type Props = IconProps & {
label?: string;
label?: string | React.ReactNode;
};
const QuestionTip = ({ label, ...props }: Props) => {
const QuestionTip = ({ label, maxW, ...props }: Props) => {
return (
<MyTooltip label={label}>
<MyTooltip label={label} maxW={maxW}>
<QuestionOutlineIcon {...props} />
</MyTooltip>
);
......
......@@ -3,6 +3,7 @@ import { WorkflowIOValueTypeEnum } from '@fastgpt/global/core/workflow/constants
export type EditorVariablePickerType = {
key: string;
label: string;
required?: boolean;
icon?: string;
valueType?: WorkflowIOValueTypeEnum;
};
import { useBoolean } from 'ahooks';
export const useRefresh = () => {
const [_, { toggle }] = useBoolean();
return {
refresh: toggle
};
};
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<filter id="filter1_dd_4847_12631" x="229.236" y="230.542" width="182.527" height="34.5273" filterUnits="userSpaceOnUse" color-interpolation-filters="sRGB">
<feFlood flood-opacity="0" result="BackgroundImageFix"/>
<feColorMatrix in="SourceAlpha" type="matrix" values="0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 127 0" result="hardAlpha"/>
<feOffset/>
<feGaussianBlur stdDeviation="0.288183"/>
<feComposite in2="hardAlpha" operator="out"/>
<feColorMatrix type="matrix" values="0 0 0 0 0.0745098 0 0 0 0 0.2 0 0 0 0 0.419608 0 0 0 0.08 0"/>
<feBlend mode="normal" in2="BackgroundImageFix" result="effect1_dropShadow_4847_12631"/>
<feColorMatrix in="SourceAlpha" type="matrix" values="0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 127 0" result="hardAlpha"/>
<feOffset dy="2.30546"/>
<feGaussianBlur stdDeviation="2.88183"/>
<feColorMatrix type="matrix" values="0 0 0 0 0.0745098 0 0 0 0 0.2 0 0 0 0 0.419608 0 0 0 0.08 0"/>
<feBlend mode="normal" in2="effect1_dropShadow_4847_12631" result="effect2_dropShadow_4847_12631"/>
<feBlend mode="normal" in="SourceGraphic" in2="effect2_dropShadow_4847_12631" result="shape"/>
</filter>
<linearGradient id="paint0_linear_4847_12631" x1="244.473" y1="43.4865" x2="244.473" y2="55.9996" gradientUnits="userSpaceOnUse">
<stop stop-color="#326DFF"/>
<stop offset="1" stop-color="#8EAEFF"/>
</linearGradient>
<linearGradient id="paint1_linear_4847_12631" x1="244.473" y1="43.4865" x2="244.473" y2="55.9996" gradientUnits="userSpaceOnUse">
<stop stop-color="#326DFF"/>
<stop offset="1" stop-color="#8EAEFF"/>
</linearGradient>
<linearGradient id="paint2_linear_4847_12631" x1="244.473" y1="43.4865" x2="244.473" y2="55.9996" gradientUnits="userSpaceOnUse">
<stop stop-color="#326DFF"/>
<stop offset="1" stop-color="#8EAEFF"/>
</linearGradient>
<linearGradient id="paint3_linear_4847_12631" x1="244.473" y1="43.4865" x2="244.473" y2="55.9996" gradientUnits="userSpaceOnUse">
<stop stop-color="#326DFF"/>
<stop offset="1" stop-color="#8EAEFF"/>
</linearGradient>
<linearGradient id="paint4_linear_4847_12631" x1="244.473" y1="43.4865" x2="244.473" y2="55.9996" gradientUnits="userSpaceOnUse">
<stop stop-color="#326DFF"/>
<stop offset="1" stop-color="#8EAEFF"/>
</linearGradient>
<linearGradient id="paint5_linear_4847_12631" x1="244.473" y1="43.4865" x2="244.473" y2="55.9996" gradientUnits="userSpaceOnUse">
<stop stop-color="#326DFF"/>
<stop offset="1" stop-color="#8EAEFF"/>
</linearGradient>
<linearGradient id="paint6_linear_4847_12631" x1="244.473" y1="43.4865" x2="244.473" y2="55.9996" gradientUnits="userSpaceOnUse">
<stop stop-color="#326DFF"/>
<stop offset="1" stop-color="#8EAEFF"/>
</linearGradient>
<clipPath id="clip0_4847_12631">
<rect x="1" y="1" width="420" height="269.5" rx="7.875" fill="white"/>
</clipPath>
<clipPath id="clip1_4847_12631">
<path d="M69 26H410C413.866 26 417 29.134 417 33V259C417 262.866 413.866 266 410 266H69V26Z" fill="white"/>
</clipPath>
<clipPath id="clip2_4847_12631">
<rect width="11.2528" height="11.2528" fill="white" transform="translate(88 130.047)"/>
</clipPath>
</defs>
</svg>
......@@ -30,7 +30,7 @@ export default function InputGuideBox({
return await queryChatInputGuideList(
{
appId,
searchKey: text
searchKey: text.slice(0, 50)
},
chatInputGuide.customUrl ? chatInputGuide.customUrl : undefined
);
......
......@@ -9,6 +9,7 @@ import { VariableInputEnum } from '@fastgpt/global/core/workflow/constants';
import MySelect from '@fastgpt/web/components/common/MySelect';
import MyIcon from '@fastgpt/web/components/common/Icon';
import { ChatBoxInputFormType } from '../type.d';
import { useRefresh } from '@fastgpt/web/hooks/useRefresh';
const VariableInput = ({
appAvatar,
......@@ -25,6 +26,7 @@ const VariableInput = ({
const { register, setValue, handleSubmit: handleSubmitChat, watch } = chatForm;
const variables = watch('variables');
const chatStarted = watch('chatStarted');
const { refresh } = useRefresh();
return (
<Box py={3}>
......@@ -86,6 +88,7 @@ const VariableInput = ({
})}
value={variables[item.key]}
onchange={(e) => {
refresh();
setValue(`variables.${item.key}`, e);
}}
/>
......
......@@ -21,7 +21,6 @@ import { getErrText } from '@fastgpt/global/common/error/utils';
import { Box, Flex, Checkbox } from '@chakra-ui/react';
import { EventNameEnum, eventBus } from '@/web/common/utils/eventbus';
import { chats2GPTMessages } from '@fastgpt/global/core/chat/adapt';
import { StoreNodeItemType } from '@fastgpt/global/core/workflow/type/index.d';
import { VariableInputEnum } from '@fastgpt/global/core/workflow/constants';
import { DispatchNodeResponseKeyEnum } from '@fastgpt/global/core/workflow/runtime/constants';
import { useForm } from 'react-hook-form';
......
......@@ -37,6 +37,7 @@ import { useRequest2 } from '@fastgpt/web/hooks/useRequest';
import { useRequest } from 'ahooks';
import HighlightText from '@fastgpt/web/components/common/String/HighlightText';
import { defaultChatInputGuideConfig } from '@fastgpt/global/core/app/constants';
import ChatFunctionTip from './Tip';
const csvTemplate = `"第一列内容"
"只会将第一列内容导入,其余列会被忽略"
......@@ -86,7 +87,7 @@ const InputGuideConfig = ({
<MyIcon name={'core/app/inputGuides'} mr={2} w={'20px'} />
<HStack>
<Box>{chatT('Input guide')}</Box>
<QuestionTip label={chatT('Input guide tip')} />
<ChatFunctionTip type={'inputGuide'} />
</HStack>
<Box flex={1} />
<MyTooltip label={chatT('Config input guide')}>
......
import MyIcon from '@fastgpt/web/components/common/Icon';
import MyTooltip from '@/components/MyTooltip';
import { QuestionOutlineIcon } from '@chakra-ui/icons';
import { Box, Flex, Switch, type SwitchProps } from '@chakra-ui/react';
import React from 'react';
import { useTranslation } from 'next-i18next';
import ChatFunctionTip from './Tip';
// question generator switch
const QGSwitch = (props: SwitchProps) => {
......@@ -12,9 +11,7 @@ const QGSwitch = (props: SwitchProps) => {
<Flex alignItems={'center'}>
<MyIcon name={'core/chat/QGFill'} mr={2} w={'20px'} />
<Box fontWeight={'medium'}>{t('core.app.Question Guide')}</Box>
<MyTooltip label={t('core.app.Question Guide Tip')} forceShow>
<QuestionOutlineIcon display={['none', 'inline']} ml={1} />
</MyTooltip>
<ChatFunctionTip type={'nextQuestion'} />
<Box flex={1} />
<Switch {...props} />
</Flex>
......
......@@ -8,7 +8,6 @@ import { AppScheduledTriggerConfigType } from '@fastgpt/global/core/app/type';
import MyModal from '@fastgpt/web/components/common/MyModal';
import dynamic from 'next/dynamic';
import type { MultipleSelectProps } from '@fastgpt/web/components/common/MySelect/type.d';
import { useForm } from 'react-hook-form';
import { cronParser2Fields } from '@fastgpt/global/common/string/time';
import TimezoneSelect from '@fastgpt/web/components/common/MySelect/TimezoneSelect';
......
import MyIcon from '@fastgpt/web/components/common/Icon';
import MyTooltip from '@/components/MyTooltip';
import { QuestionOutlineIcon } from '@chakra-ui/icons';
import { Box, Button, Flex, ModalBody, useDisclosure, Image } from '@chakra-ui/react';
import React, { useCallback, useMemo } from 'react';
import { useTranslation } from 'next-i18next';
......@@ -12,6 +11,7 @@ import MyModal from '@fastgpt/web/components/common/MyModal';
import MySlider from '@/components/Slider';
import MySelect from '@fastgpt/web/components/common/MySelect';
import { defaultTTSConfig } from '@fastgpt/global/core/app/constants';
import ChatFunctionTip from './Tip';
const TTSSelect = ({
value = defaultTTSConfig,
......@@ -82,9 +82,7 @@ const TTSSelect = ({
<Flex alignItems={'center'}>
<MyIcon name={'core/app/simpleMode/tts'} mr={2} w={'20px'} />
<Box fontWeight={'medium'}>{t('core.app.TTS')}</Box>
<MyTooltip label={t('core.app.TTS Tip')} forceShow>
<QuestionOutlineIcon display={['none', 'inline']} ml={1} />
</MyTooltip>
<ChatFunctionTip type={'tts'} />
<Box flex={1} />
<MyTooltip label={t('core.app.Select TTS')}>
<Button
......
import { useI18n } from '@/web/context/I18n';
import { Box, Flex, Image } from '@chakra-ui/react';
import QuestionTip from '@fastgpt/web/components/common/MyTooltip/QuestionTip';
import { useTranslation } from 'next-i18next';
import React, { useRef } from 'react';
enum FnTypeEnum {
inputGuide = 'inputGuide',
nextQuestion = 'nextQuestion',
tts = 'tts',
variable = 'variable',
welcome = 'welcome'
}
const ChatFunctionTip = ({ type }: { type: `${FnTypeEnum}` }) => {
const { t } = useTranslation();
const { chatT } = useI18n();
const map = useRef({
[FnTypeEnum.inputGuide]: {
icon: '/imgs/app/inputGuide-icon.svg',
title: chatT('Input guide'),
desc: chatT('Input guide tip'),
imgUrl: '/imgs/app/inputGuide.svg'
},
[FnTypeEnum.nextQuestion]: {
icon: '/imgs/app/nextQuestion-icon.svg',
title: t('core.app.Question Guide'),
desc: t('core.app.Question Guide Tip'),
imgUrl: '/imgs/app/nextQuestion.svg'
},
[FnTypeEnum.tts]: {
icon: '/imgs/app/tts-icon.svg',
title: t('core.app.TTS'),
desc: t('core.app.TTS Tip'),
imgUrl: '/imgs/app/tts.svg'
},
[FnTypeEnum.variable]: {
icon: '/imgs/app/variable-icon.svg',
title: t('core.module.Variable'),
desc: t('core.app.tip.variableTip'),
imgUrl: '/imgs/app/variable.svg'
},
[FnTypeEnum.welcome]: {
icon: '/imgs/app/welcome-icon.svg',
title: t('core.app.Welcome Text'),
desc: t('core.app.tip.welcomeTextTip'),
imgUrl: '/imgs/app/welcome.svg'
}
});
const data = map.current[type];
return (
<QuestionTip
maxW={'420px'}
ml={1}
label={
<Box>
<Flex>
<Image src={data.icon} w={'36px'} alt={''} />
<Box ml={3}>
<Box fontWeight="bold">{data.title}</Box>
<Box fontSize={'xs'} color={'myGray.500'}>
{data.desc}
</Box>
</Box>
</Flex>
<Image src={data.imgUrl} w={'100%'} minH={['auto', '200px']} mt={2} alt={''} />
</Box>
}
/>
);
};
export default ChatFunctionTip;
......@@ -32,11 +32,11 @@ import { customAlphabet } from 'nanoid';
const nanoid = customAlphabet('abcdefghijklmnopqrstuvwxyz1234567890', 6);
import MyModal from '@fastgpt/web/components/common/MyModal';
import MyTooltip from '@/components/MyTooltip';
import { variableTip } from '@fastgpt/global/core/workflow/template/tip';
import { useTranslation } from 'next-i18next';
import { useToast } from '@fastgpt/web/hooks/useToast';
import MyRadio from '@/components/common/MyRadio';
import { formatEditorVariablePickerIcon } from '@fastgpt/global/core/workflow/utils';
import ChatFunctionTip from './Tip';
const VariableEdit = ({
variables = [],
......@@ -96,12 +96,11 @@ const VariableEdit = ({
<Box>
<Flex alignItems={'center'}>
<MyIcon name={'core/app/simpleMode/variable'} w={'20px'} />
<Box ml={2} flex={1} fontWeight={'medium'}>
<Box ml={2} fontWeight={'medium'}>
{t('core.module.Variable')}
<MyTooltip label={t(variableTip)} forceShow>
<QuestionOutlineIcon display={['none', 'inline']} ml={1} />
</MyTooltip>
</Box>
<ChatFunctionTip type={'variable'} />
<Box flex={1} />
<Button
variant={'transparentBase'}
leftIcon={<SmallAddIcon />}
......
import { Box, Flex, TextareaProps } from '@chakra-ui/react';
import React from 'react';
import MyIcon from '@fastgpt/web/components/common/Icon';
import ChatFunctionTip from './Tip';
import MyTextarea from '@/components/common/Textarea/MyTextarea';
import { useTranslation } from 'next-i18next';
const WelcomeTextConfig = (props: TextareaProps) => {
const { t } = useTranslation();
return (
<>
<Flex alignItems={'center'}>
<MyIcon name={'core/app/simpleMode/chat'} w={'20px'} />
<Box ml={2}>{t('core.app.Welcome Text')}</Box>
<ChatFunctionTip type={'welcome'} />
</Flex>
<MyTextarea
mt={2}
bg={'myWhite.400'}
rows={6}
fontSize={'sm'}
placeholder={t('core.app.tip.welcomeTextTip')}
{...props}
/>
</>
);
};
export default WelcomeTextConfig;
......@@ -19,26 +19,26 @@ const scoreTheme: Record<
color: string;
bg: string;
borderColor: string;
colorSchema: string;
colorScheme: string;
}
> = {
'0': {
color: '#6F5DD7',
bg: '#F0EEFF',
borderColor: '#D3CAFF',
colorSchema: 'purple'
colorScheme: 'purple'
},
'1': {
color: '#9E53C1',
bg: '#FAF1FF',
borderColor: '#ECF',
colorSchema: 'pink'
colorScheme: 'pink'
},
'2': {
color: '#0884DD',
bg: '#F0FBFF',
borderColor: '#BCE7FF',
colorSchema: 'blue'
colorScheme: 'blue'
}
};
......@@ -184,7 +184,7 @@ const QuoteItem = ({
size="sm"
borderRadius={'20px'}
{...(scoreTheme[i] && {
colorScheme: scoreTheme[i].colorSchema
colorScheme: scoreTheme[i].colorScheme
})}
bg="#E8EBF0"
/>
......
......@@ -165,84 +165,82 @@ export const useDebug = () => {
maxW={['90vw', '35vw']}
px={0}
>
<Flex flexDirection={'column'} h={'100%'} overflowY={'auto'}>
<Box flex={'1 0 0'} overflow={'auto'} px={6}>
{renderInputs.map((input) => {
const required = input.required || false;
console.log(input.valueType);
const RenderInput = (() => {
if (input.valueType === WorkflowIOValueTypeEnum.string) {
return (
<Textarea
<Box flex={'1 0 0'} overflow={'auto'} px={6}>
{renderInputs.map((input) => {
const required = input.required || false;
console.log(input.valueType);
const RenderInput = (() => {
if (input.valueType === WorkflowIOValueTypeEnum.string) {
return (
<Textarea
{...register(input.key, {
required
})}
placeholder={t(input.placeholder || '')}
bg={'myGray.50'}
/>
);
}
if (input.valueType === WorkflowIOValueTypeEnum.number) {
return (
<NumberInput step={input.step} min={input.min} max={input.max} bg={'myGray.50'}>
<NumberInputField
{...register(input.key, {
required
required: input.required,
min: input.min,
max: input.max,
valueAsNumber: true
})}
placeholder={t(input.placeholder || '')}
bg={'myGray.50'}
/>
);
}
if (input.valueType === WorkflowIOValueTypeEnum.number) {
return (
<NumberInput step={input.step} min={input.min} max={input.max} bg={'myGray.50'}>
<NumberInputField
{...register(input.key, {
required: input.required,
min: input.min,
max: input.max,
valueAsNumber: true
})}
/>
<NumberInputStepper>
<NumberIncrementStepper />
<NumberDecrementStepper />
</NumberInputStepper>
</NumberInput>
);
}
if (input.valueType === WorkflowIOValueTypeEnum.boolean) {
return (
<Box>
<Switch size={'lg'} {...register(input.key)} />
</Box>
);
}
if (typeof input.value === 'string') {
return (
<JsonEditor
bg={'myGray.50'}
placeholder={t(input.placeholder || '')}
resize
value={getValues(input.key)}
onChange={(e) => {
setValue(input.key, e);
}}
/>
);
}
})();
return !!RenderInput ? (
<Box key={input.key} _notLast={{ mb: 4 }} px={1}>
<Flex alignItems={'center'} mb={1}>
<Box position={'relative'}>
{required && (
<Box position={'absolute'} right={-2} top={'-1px'} color={'red.600'}>
*
</Box>
)}
{t(input.debugLabel || input.label)}
</Box>
{input.description && <QuestionTip ml={2} label={input.description} />}
</Flex>
{RenderInput}
</Box>
) : null;
})}
</Box>
<Flex py={2} justifyContent={'flex-end'}>
<Button onClick={handleSubmit(onclickRun)}>运行</Button>
</Flex>
<NumberInputStepper>
<NumberIncrementStepper />
<NumberDecrementStepper />
</NumberInputStepper>
</NumberInput>
);
}
if (input.valueType === WorkflowIOValueTypeEnum.boolean) {
return (
<Box>
<Switch size={'lg'} {...register(input.key)} />
</Box>
);
}
if (typeof input.value === 'string') {
return (
<JsonEditor
bg={'myGray.50'}
placeholder={t(input.placeholder || '')}
resize
value={getValues(input.key)}
onChange={(e) => {
setValue(input.key, e);
}}
/>
);
}
})();
return !!RenderInput ? (
<Box key={input.key} _notLast={{ mb: 4 }} px={1}>
<Flex alignItems={'center'} mb={1}>
<Box position={'relative'}>
{required && (
<Box position={'absolute'} right={-2} top={'-1px'} color={'red.600'}>
*
</Box>
)}
{t(input.debugLabel || input.label)}
</Box>
{input.description && <QuestionTip ml={2} label={input.description} />}
</Flex>
{RenderInput}
</Box>
) : null;
})}
</Box>
<Flex py={2} justifyContent={'flex-end'} px={6}>
<Button onClick={handleSubmit(onclickRun)}>运行</Button>
</Flex>
</MyRightDrawer>
);
......
......@@ -280,7 +280,7 @@ export function RenderHttpProps({
);
return [...moduleVariables, ...globalVariables];
}, [inputs, nodeList, t]);
}, [appDetail.chatConfig, inputs, nodeList, t]);
const variableText = useMemo(() => {
return variables
......
......@@ -28,7 +28,7 @@ import MyInput from '@/components/MyInput';
import { getElseIFLabel, getHandleId } from '@fastgpt/global/core/workflow/utils';
import { SourceHandle } from '../render/Handle';
import { Position, useReactFlow } from 'reactflow';
import { getReferenceDataValueType } from '@/web/core/workflow/utils';
import { getRefData } from '@/web/core/workflow/utils';
import DragIcon from '@fastgpt/web/components/common/DndDrag/DragIcon';
import { AppContext } from '@/web/core/app/context/appContext';
......@@ -346,8 +346,8 @@ const ConditionSelect = ({
const appDetail = useContextSelector(AppContext, (v) => v.appDetail);
// get condition type
const valueType = useMemo(() => {
return getReferenceDataValueType({
const { valueType, required } = useMemo(() => {
return getRefData({
variable,
nodeList,
chatConfig: appDetail.chatConfig,
......@@ -376,11 +376,22 @@ const ConditionSelect = ({
return [];
}, [valueType]);
const filterQuiredConditionList = useMemo(() => {
if (required) {
return conditionList.filter(
(item) =>
item.value !== VariableConditionEnum.isEmpty &&
item.value !== VariableConditionEnum.isNotEmpty
);
}
return conditionList;
}, [conditionList, required]);
return (
<MySelect
className="nowheel"
w={'100%'}
list={conditionList}
list={filterQuiredConditionList}
value={condition}
onchange={onSelect}
placeholder="选择条件"
......
import React, { Dispatch, useMemo, useTransition } from 'react';
import { NodeProps } from 'reactflow';
import { Box, Flex, Textarea, useTheme } from '@chakra-ui/react';
import { QuestionOutlineIcon } from '@chakra-ui/icons';
import { Box, useTheme } from '@chakra-ui/react';
import { FlowNodeItemType } from '@fastgpt/global/core/workflow/type/index.d';
import { welcomeTextTip } from '@fastgpt/global/core/workflow/template/tip';
import QGSwitch from '@/components/core/app/QGSwitch';
import TTSSelect from '@/components/core/app/TTSSelect';
import WhisperConfig from '@/components/core/app/WhisperConfig';
import InputGuideConfig from '@/components/core/chat/appConfig/InputGuideConfig';
import InputGuideConfig from '@/components/core/app/InputGuideConfig';
import { getAppChatConfig } from '@fastgpt/global/core/workflow/utils';
import { useTranslation } from 'next-i18next';
import { TTSTypeEnum } from '@/web/core/app/constants';
import MyIcon from '@fastgpt/web/components/common/Icon';
import MyTooltip from '@/components/MyTooltip';
import NodeCard from './render/NodeCard';
import ScheduledTriggerConfig from '@/components/core/app/ScheduledTriggerConfig';
import { useContextSelector } from 'use-context-selector';
......@@ -22,6 +18,7 @@ import { AppChatConfigType, AppDetailType, VariableItemType } from '@fastgpt/glo
import { useMemoizedFn } from 'ahooks';
import VariableEdit from '@/components/core/app/VariableEdit';
import { AppContext } from '@/web/core/app/context/appContext';
import WelcomeTextConfig from '@/components/core/app/WelcomeTextConfig';
type ComponentProps = {
chatConfig: AppChatConfigType;
......@@ -94,22 +91,10 @@ function WelcomeText({ chatConfig: { welcomeText }, setAppDetail }: ComponentPro
const [, startTst] = useTransition();
return (
<>
<Flex mb={1} alignItems={'center'}>
<MyIcon name={'core/modules/welcomeText'} mr={2} w={'14px'} color={'#E74694'} />
<Box fontWeight={'medium'}>{t('core.app.Welcome Text')}</Box>
<MyTooltip label={t(welcomeTextTip)} forceShow>
<QuestionOutlineIcon display={['none', 'inline']} ml={1} />
</MyTooltip>
</Flex>
<Textarea
className="nodrag"
rows={6}
fontSize={'12px'}
<Box className="nodrag">
<WelcomeTextConfig
resize={'both'}
defaultValue={welcomeText}
bg={'myWhite.500'}
placeholder={t(welcomeTextTip)}
onChange={(e) => {
startTst(() => {
setAppDetail((state) => ({
......@@ -122,7 +107,7 @@ function WelcomeText({ chatConfig: { welcomeText }, setAppDetail }: ComponentPro
});
}}
/>
</>
</Box>
);
}
......
......@@ -30,7 +30,7 @@ import { SmallAddIcon } from '@chakra-ui/icons';
import MyTooltip from '@fastgpt/web/components/common/MyTooltip';
import { ReferenceValueProps } from '@fastgpt/global/core/workflow/type/io';
import { ReferSelector, useReference } from './render/RenderInput/templates/Reference';
import { getReferenceDataValueType } from '@/web/core/workflow/utils';
import { getRefData } from '@/web/core/workflow/utils';
import { isReferenceValue } from '@fastgpt/global/core/workflow/utils';
import { AppContext } from '@/web/core/app/context/appContext';
......@@ -84,7 +84,7 @@ const NodeVariableUpdate = ({ data, selected }: NodeProps<FlowNodeItemType>) =>
return (
<>
{updateList.map((updateItem, index) => {
const valueType = getReferenceDataValueType({
const { valueType } = getRefData({
variable: updateItem.variable,
nodeList,
chatConfig: appDetail.chatConfig,
......
......@@ -32,6 +32,7 @@ const NodeStart = ({ data, selected }: NodeProps<FlowNodeItemType>) => {
id: item.key,
type: FlowNodeOutputTypeEnum.static,
key: item.key,
required: item.required,
valueType: item.valueType || WorkflowIOValueTypeEnum.any,
label: item.label
}));
......
......@@ -171,6 +171,11 @@ const RenderOutput = ({
{renderOutputs.map((output) => {
return output.label ? (
<Box key={output.key} _notLast={{ mb: 5 }} position={'relative'}>
{output.required && (
<Box position={'absolute'} left={'-6px'} top={-1} color={'red.600'}>
*
</Box>
)}
<OutputLabel nodeId={nodeId} output={output} />
</Box>
) : null;
......
......@@ -47,6 +47,7 @@ async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
const { teamId, tmbId, dataset } = await authDataset({
req,
authToken: true,
authApiKey: true,
per: 'w',
datasetId: data.datasetId
......
......@@ -163,8 +163,7 @@ async function handler(req: NextApiRequest, res: NextApiResponse) {
return authHeaderRequest({
req,
appId,
chatId,
detail
chatId
});
})();
......@@ -292,17 +291,19 @@ async function handler(req: NextApiRequest, res: NextApiResponse) {
data: '[DONE]'
});
if (responseDetail && detail) {
if (detail) {
responseWrite({
res,
event: SseResponseEventEnum.updateVariables,
data: JSON.stringify(newVariables)
});
responseWrite({
res,
event: SseResponseEventEnum.flowResponses,
data: JSON.stringify(feResponseData)
});
if (responseDetail) {
responseWrite({
res,
event: SseResponseEventEnum.flowResponses,
data: JSON.stringify(feResponseData)
});
}
}
res.end();
......@@ -443,13 +444,11 @@ const authTeamSpaceChat = async ({
const authHeaderRequest = async ({
req,
appId,
chatId,
detail
chatId
}: {
req: NextApiRequest;
appId?: string;
chatId?: string;
detail?: boolean;
}): Promise<AuthResponseType> => {
const {
appId: apiKeyAppId,
......@@ -517,7 +516,7 @@ const authHeaderRequest = async ({
tmbId,
user,
app,
responseDetail: detail,
responseDetail: true,
apikey,
authType,
canWrite
......
......@@ -4,7 +4,6 @@ import { AddIcon, QuestionOutlineIcon, SmallAddIcon } from '@chakra-ui/icons';
import { useFieldArray, UseFormReturn } from 'react-hook-form';
import { useSystemStore } from '@/web/common/system/useSystemStore';
import type { AppSimpleEditFormType } from '@fastgpt/global/core/app/type.d';
import { welcomeTextTip } from '@fastgpt/global/core/workflow/template/tip';
import { useRequest } from '@fastgpt/web/hooks/useRequest';
import { useConfirm } from '@fastgpt/web/hooks/useConfirm';
import { useRouter } from 'next/router';
......@@ -42,14 +41,16 @@ const ToolSelectModal = dynamic(() => import('./ToolSelectModal'), { ssr: false
const TTSSelect = dynamic(() => import('@/components/core/app/TTSSelect'), { ssr: false });
const QGSwitch = dynamic(() => import('@/components/core/app/QGSwitch'), { ssr: false });
const WhisperConfig = dynamic(() => import('@/components/core/app/WhisperConfig'), { ssr: false });
const InputGuideConfig = dynamic(
() => import('@/components/core/chat/appConfig/InputGuideConfig'),
{ ssr: false }
);
const InputGuideConfig = dynamic(() => import('@/components/core/app/InputGuideConfig'), {
ssr: false
});
const ScheduledTriggerConfig = dynamic(
() => import('@/components/core/app/ScheduledTriggerConfig'),
{ ssr: false }
);
const WelcomeTextConfig = dynamic(() => import('@/components/core/app/WelcomeTextConfig'), {
ssr: false
});
const BoxStyles: BoxProps = {
px: 5,
......@@ -409,18 +410,7 @@ const EditForm = ({
{/* welcome */}
<Box {...BoxStyles}>
<Flex alignItems={'center'}>
<MyIcon name={'core/app/simpleMode/chat'} w={'20px'} />
<Box mx={2}>{t('core.app.Welcome Text')}</Box>
<MyTooltip label={t(welcomeTextTip)} forceShow>
<QuestionOutlineIcon />
</MyTooltip>
</Flex>
<MyTextarea
mt={2}
bg={'myWhite.400'}
rows={5}
placeholder={t(welcomeTextTip)}
<WelcomeTextConfig
defaultValue={getValues('chatConfig.welcomeText')}
onBlur={(e) => {
setValue('chatConfig.welcomeText', e.target.value || '');
......
......@@ -83,28 +83,26 @@ const PreviewChunks = ({
isLoading={isLoading}
maxW={['90vw', '40vw']}
>
<Flex flexDirection={'column'} height={'100%'} overflowY={'auto'}>
{data.map((item, index) => (
<Box
key={index}
whiteSpace={'pre-wrap'}
fontSize={'sm'}
p={4}
bg={index % 2 === 0 ? 'white' : 'myWhite.600'}
mb={3}
borderRadius={'md'}
borderWidth={'1px'}
borderColor={'borderColor.low'}
boxShadow={'2'}
_notLast={{
mb: 2
}}
>
<Box color={'myGray.900'}>{item.q}</Box>
<Box color={'myGray.500'}>{item.a}</Box>
</Box>
))}
</Flex>
{data.map((item, index) => (
<Box
key={index}
whiteSpace={'pre-wrap'}
fontSize={'sm'}
p={4}
bg={index % 2 === 0 ? 'white' : 'myWhite.600'}
mb={3}
borderRadius={'md'}
borderWidth={'1px'}
borderColor={'borderColor.low'}
boxShadow={'2'}
_notLast={{
mb: 2
}}
>
<Box color={'myGray.900'}>{item.q}</Box>
<Box color={'myGray.500'}>{item.a}</Box>
</Box>
))}
</MyRightDrawer>
);
};
......
......@@ -33,8 +33,8 @@ import ParentPaths from '@/components/common/ParentPaths';
import DatasetTypeTag from '@/components/core/dataset/DatasetTypeTag';
import { useToast } from '@fastgpt/web/hooks/useToast';
import { getErrText } from '@fastgpt/global/common/error/utils';
import { xmlDownloadFetch } from '@/web/common/api/xmlFetch';
import { useDatasetStore } from '@/web/core/dataset/store/dataset';
import { downloadFetch } from '@/web/common/system/utils';
const CreateModal = dynamic(() => import('./component/CreateModal'), { ssr: false });
const MoveModal = dynamic(() => import('./component/MoveModal'), { ssr: false });
......@@ -93,7 +93,7 @@ const Dataset = () => {
setLoading(true);
await checkTeamExportDatasetLimit(dataset._id);
await xmlDownloadFetch({
await downloadFetch({
url: `/api/core/dataset/exportAll?datasetId=${dataset._id}`,
filename: `${dataset.name}.csv`
});
......
......@@ -51,18 +51,14 @@ const Render = ({ pluginId }: Props) => {
});
useEffect(() => {
if (isV2Workflow) {
initData(JSON.parse(workflowStringData));
}
}, [initData, isV2Workflow, workflowStringData]);
useEffect(() => {
if (!isV2Workflow && pluginDetail) {
openConfirm(() => {
initData(JSON.parse(JSON.stringify(v1Workflow2V2((pluginDetail.modules || []) as any))));
})();
} else {
initData(JSON.parse(workflowStringData));
}
}, [initData, isV2Workflow, openConfirm, pluginDetail]);
}, [pluginDetail]);
useBeforeunload({
tip: t('core.common.tip.leave page')
......
......@@ -2,7 +2,6 @@ import { SseResponseEventEnum } from '@fastgpt/global/core/workflow/runtime/cons
import { getErrText } from '@fastgpt/global/common/error/utils';
import type { ChatHistoryItemResType } from '@fastgpt/global/core/chat/type.d';
import type { StartChatFnProps } from '@/components/ChatBox/type.d';
import { getToken } from '@/web/support/user/auth';
import { DispatchNodeResponseKeyEnum } from '@fastgpt/global/core/workflow/runtime/constants';
import dayjs from 'dayjs';
import {
......@@ -117,8 +116,7 @@ export const streamFetch = ({
const requestData = {
method: 'POST',
headers: {
'Content-Type': 'application/json',
token: getToken()
'Content-Type': 'application/json'
},
signal: abortCtrl.signal,
body: JSON.stringify({
......
......@@ -4,7 +4,7 @@ import axios, {
AxiosResponse,
AxiosProgressEvent
} from 'axios';
import { clearToken, getToken } from '@/web/support/user/auth';
import { clearToken } 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';
......@@ -15,6 +15,7 @@ interface ConfigType {
onUploadProgress?: (progressEvent: AxiosProgressEvent) => void;
cancelToken?: AbortController;
maxQuantity?: number;
withCredentials?: boolean;
}
interface ResponseDataType {
code: number;
......@@ -61,7 +62,6 @@ function requestFinish({ url }: { url: string }) {
*/
function startInterceptors(config: InternalAxiosRequestConfig): InternalAxiosRequestConfig {
if (config.headers) {
config.headers.token = getToken();
}
return config;
......@@ -138,7 +138,7 @@ instance.interceptors.response.use(responseSuccess, (err) => Promise.reject(err)
function request(
url: string,
data: any,
{ cancelToken, maxQuantity, ...config }: ConfigType,
{ cancelToken, maxQuantity, withCredentials, ...config }: ConfigType,
method: Method
): any {
/* 去空 */
......@@ -158,6 +158,7 @@ function request(
data: ['POST', 'PUT'].includes(method) ? data : null,
params: !['POST', 'PUT'].includes(method) ? data : null,
signal: cancelToken?.signal,
withCredentials,
...config // 用户自定义配置,可以覆盖前面的配置
})
.then((res) => checkRes(res.data))
......
import { getToken } from '@/web/support/user/auth';
import { hasHttps } from '@fastgpt/web/common/system/utils';
export const xmlDownloadFetch = async ({ url, filename }: { url: string; filename: string }) => {
if (hasHttps()) {
const a = document.createElement('a');
a.href = url;
a.download = filename;
document.body.appendChild(a);
a.click();
document.body.removeChild(a);
} else {
const response = await fetch(url, {
headers: {
token: `${getToken()}`
}
});
if (!response.ok) throw new Error('Network response was not ok.');
const blob = await response.blob();
const downloadUrl = window.URL.createObjectURL(blob);
const a = document.createElement('a');
a.style.display = 'none'; // 隐藏<a>元素
a.href = downloadUrl;
a.download = filename;
document.body.appendChild(a);
a.click(); // 模拟用户点击
document.body.removeChild(a);
window.URL.revokeObjectURL(downloadUrl); // 清理生成的URL
}
};
export const downloadFetch = async ({ url, filename }: { url: string; filename: string }) => {
const a = document.createElement('a');
a.href = url;
a.download = filename;
document.body.appendChild(a);
a.click();
document.body.removeChild(a);
};
......@@ -5,7 +5,6 @@ import type { AppTTSConfigType } from '@fastgpt/global/core/app/type.d';
import { TTSTypeEnum } from '@/web/core/app/constants';
import { useTranslation } from 'next-i18next';
import type { OutLinkChatAuthProps } from '@fastgpt/global/support/permission/chat.d';
import { getToken } from '@/web/support/user/auth';
import { useMount } from 'ahooks';
const contentType = 'audio/mpeg';
......@@ -41,8 +40,7 @@ export const useAudioPlay = (props?: OutLinkChatAuthProps & { ttsConfig?: AppTTS
const response = await fetch('/api/core/chat/item/getSpeech', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
token: getToken()
'Content-Type': 'application/json'
},
signal: audioController.current.signal,
body: JSON.stringify({
......
......@@ -701,6 +701,7 @@ export const getSystemVariables = (t: TFunction): EditorVariablePickerType[] =>
{
key: 'appId',
label: t('core.module.http.AppId'),
required: true,
valueType: WorkflowIOValueTypeEnum.string
},
{
......@@ -716,11 +717,13 @@ export const getSystemVariables = (t: TFunction): EditorVariablePickerType[] =>
{
key: 'histories',
label: t('core.module.http.Histories'),
required: true,
valueType: WorkflowIOValueTypeEnum.chatHistory
},
{
key: 'cTime',
label: t('core.module.http.Current time'),
required: true,
valueType: WorkflowIOValueTypeEnum.string
}
];
......
......@@ -26,10 +26,11 @@ export const getCountChatInputGuideTotal = (data: countChatInputGuideTotalQuery)
export const getChatInputGuideList = (data: ChatInputGuideProps) =>
GET<ChatInputGuideResponse>(`/core/chat/inputGuide/list`, data);
export const queryChatInputGuideList = (
data: QueryChatInputGuideProps,
url = `/core/chat/inputGuide/query`
) => GET<QueryChatInputGuideResponse>(url, data);
export const queryChatInputGuideList = (data: QueryChatInputGuideProps, url?: string) => {
return GET<QueryChatInputGuideResponse>(url ?? `/core/chat/inputGuide/query`, data, {
withCredentials: !url
});
};
export const postChatInputGuides = (data: createInputGuideBody) =>
POST<createInputGuideResponse>(`/core/chat/inputGuide/create`, data);
......
......@@ -428,7 +428,7 @@ export const v1Workflow2V2 = (
pluginId,
pluginType: node.pluginType,
parentId: node.parentId,
version: 'v2.0',
version: '481',
inputs,
outputs
......
......@@ -157,7 +157,7 @@ export const computedNodeInputReference = ({
return sourceNodes;
};
export const getReferenceDataValueType = ({
export const getRefData = ({
variable,
nodeList,
chatConfig,
......@@ -168,16 +168,34 @@ export const getReferenceDataValueType = ({
chatConfig: AppChatConfigType;
t: TFunction;
}) => {
if (!variable) return WorkflowIOValueTypeEnum.any;
if (!variable)
return {
valueType: WorkflowIOValueTypeEnum.any,
required: false
};
const node = nodeList.find((node) => node.nodeId === variable[0]);
const systemVariables = getWorkflowGlobalVariables({ nodes: nodeList, chatConfig, t });
if (!node) return systemVariables.find((item) => item.key === variable?.[1])?.valueType;
if (!node) {
const globalVariable = systemVariables.find((item) => item.key === variable?.[1]);
return {
valueType: globalVariable?.valueType || WorkflowIOValueTypeEnum.any,
required: !!globalVariable?.required
};
}
const output = node.outputs.find((item) => item.id === variable[1]);
if (!output) return WorkflowIOValueTypeEnum.any;
return output.valueType;
if (!output)
return {
valueType: WorkflowIOValueTypeEnum.any,
required: false
};
return {
valueType: output.valueType,
required: !!output.required
};
};
/* Connection rules */
......
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