4.6.2-alpha (#517)

This commit is contained in:
Archer
2023-11-25 21:58:00 +08:00
committed by GitHub
parent 9cb4280a16
commit 3acbf1ab17
39 changed files with 617 additions and 183 deletions

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@@ -93,7 +93,7 @@ function App({ Component, pageProps }: AppProps) {
return (
<>
<Head>
<title>{feConfigs?.systemTitle || process.env.SYSTEM_NAME || 'GPT'}</title>
<title>{feConfigs?.systemTitle || process.env.SYSTEM_NAME || ''}</title>
<meta
name="description"
content="FastGPT 是一个大模型应用编排系统,提供开箱即用的数据处理、模型调用等能力,可以快速的构建知识库并通过 Flow 可视化进行工作流编排,实现复杂的知识库场景!"

View File

@@ -295,7 +295,7 @@ async function initPgData() {
]);
} catch (error) {
console.log(error);
console.log('column exits');
console.log('column exists');
}
const { rows } = await PgClient.query<{ user_id: string }>(`

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@@ -2,18 +2,9 @@ import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@fastgpt/service/common/response';
import { connectToDatabase } from '@/service/mongo';
import { delay } from '@/utils/tools';
import { PgClient } from '@fastgpt/service/common/pg';
import {
DatasetDataIndexTypeEnum,
PgDatasetTableName
} from '@fastgpt/global/core/dataset/constant';
import { authCert } from '@fastgpt/service/support/permission/auth/common';
import { MongoDatasetData } from '@fastgpt/service/core/dataset/data/schema';
import { getUserDefaultTeam } from '@fastgpt/service/support/user/team/controller';
import { MongoDataset } from '@fastgpt/service/core/dataset/schema';
import { defaultQAModels } from '@fastgpt/global/core/ai/model';
import { MongoApp } from '@fastgpt/service/core/app/schema';
import { jiebaSplit } from '@/service/core/dataset/utils';
let success = 0;
/* pg 中的数据搬到 mongo dataset.datas 中,并做映射 */
@@ -22,6 +13,12 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
const { limit = 50 } = req.body as { limit: number };
await authCert({ req, authRoot: true });
await connectToDatabase();
success = 0;
console.log(
'total',
await MongoDatasetData.countDocuments({ fullTextToken: { $exists: false } })
);
await initFullTextToken(limit);
@@ -37,4 +34,31 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
});
}
}
export async function initFullTextToken(limit = 50) {}
export async function initFullTextToken(limit = 50): Promise<any> {
try {
const dataList = await MongoDatasetData.find({ fullTextToken: { $exists: false } }, '_id q a')
.limit(limit)
.lean();
if (dataList.length === 0) return;
const result = await Promise.allSettled(
dataList.map((item) => {
const text = item.q + (item.a || '');
const tokens = jiebaSplit({ text });
return MongoDatasetData.findByIdAndUpdate(item._id, {
$set: {
fullTextToken: tokens
}
});
})
);
success += result.filter((item) => item.status === 'fulfilled').length;
console.log(`success: ${success}`);
return initFullTextToken(limit);
} catch (error) {
await delay(1000);
return initFullTextToken(limit);
}
}

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@@ -6,6 +6,7 @@ import type { CreateAppParams } from '@fastgpt/global/core/app/api.d';
import { AppTypeEnum } from '@fastgpt/global/core/app/constants';
import { MongoApp } from '@fastgpt/service/core/app/schema';
import { authUserNotVisitor } from '@fastgpt/service/support/permission/auth/user';
import { SimpleModeTemplate_FastGPT_Universal } from '@/global/core/app/constants';
export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
try {
@@ -39,7 +40,8 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
teamId,
tmbId,
modules,
type
type,
simpleTemplateId: SimpleModeTemplate_FastGPT_Universal.id
});
jsonRes(res, {

View File

@@ -41,7 +41,7 @@ function simpleChatTemplate({
{
moduleId: 'userChatInput',
name: '用户问题(对话入口)',
logo: '/imgs/module/userChatInput.png',
avatar: '/imgs/module/userChatInput.png',
flowType: 'questionInput',
position: {
x: 464.32198615344566,
@@ -73,7 +73,7 @@ function simpleChatTemplate({
{
moduleId: 'history',
name: '聊天记录',
logo: '/imgs/module/history.png',
avatar: '/imgs/module/history.png',
flowType: 'historyNode',
position: {
x: 452.5466249541586,
@@ -114,7 +114,7 @@ function simpleChatTemplate({
{
moduleId: 'chatModule',
name: 'AI 对话',
logo: '/imgs/module/AI.png',
avatar: '/imgs/module/AI.png',
flowType: 'chatNode',
showStatus: true,
position: {
@@ -284,7 +284,7 @@ function datasetTemplate({
{
moduleId: 'userChatInput',
name: '用户问题(对话入口)',
logo: '/imgs/module/userChatInput.png',
avatar: '/imgs/module/userChatInput.png',
flowType: 'questionInput',
position: {
x: 464.32198615344566,
@@ -320,7 +320,7 @@ function datasetTemplate({
{
moduleId: 'history',
name: '聊天记录',
logo: '/imgs/module/history.png',
avatar: '/imgs/module/history.png',
flowType: 'historyNode',
position: {
x: 452.5466249541586,
@@ -361,7 +361,7 @@ function datasetTemplate({
{
moduleId: 'datasetSearch',
name: '知识库搜索',
logo: '/imgs/module/db.png',
avatar: '/imgs/module/db.png',
flowType: 'datasetSearchNode',
showStatus: true,
position: {
@@ -454,7 +454,7 @@ function datasetTemplate({
{
moduleId: 'chatModule',
name: 'AI 对话',
logo: '/imgs/module/AI.png',
avatar: '/imgs/module/AI.png',
flowType: 'chatNode',
showStatus: true,
position: {

View File

@@ -15,6 +15,7 @@ import { getCollectionWithDataset } from '@fastgpt/service/core/dataset/controll
import { authTeamBalance } from '@/service/support/permission/auth/bill';
import { pushGenerateVectorBill } from '@/service/support/wallet/bill/push';
import { InsertOneDatasetDataProps } from '@/global/core/dataset/api';
import { simpleText } from '@fastgpt/global/common/string/tools';
export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
try {
@@ -46,8 +47,12 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
] = await Promise.all([getCollectionWithDataset(collectionId), authTeamBalance(teamId)]);
// format data
const formatQ = q.replace(/\\n/g, '\n').trim().replace(/'/g, '"');
const formatA = a?.replace(/\\n/g, '\n').trim().replace(/'/g, '"') || '';
const formatQ = simpleText(q);
const formatA = simpleText(a);
const formatIndexes = indexes?.map((item) => ({
...item,
text: simpleText(item.text)
}));
// token check
const token = countPromptTokens(formatQ, 'system');
@@ -72,7 +77,7 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
q: formatQ,
a: formatA,
model: vectorModelData.model,
indexes
indexes: formatIndexes
});
pushGenerateVectorBill({

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@@ -13,6 +13,7 @@ import { PushDatasetDataChunkProps } from '@fastgpt/global/core/dataset/api';
import { getQAModel, getVectorModel } from '@/service/core/ai/model';
import { authDatasetCollection } from '@fastgpt/service/support/permission/auth/dataset';
import { getCollectionWithDataset } from '@fastgpt/service/core/dataset/controller';
import { simpleText } from '@fastgpt/global/common/string/tools';
export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
try {
@@ -72,6 +73,21 @@ export async function pushDataToDatasetCollection({
collectionId
});
// format q and a, remove empty char
data.forEach((item) => {
item.q = simpleText(item.q);
item.a = simpleText(item.a);
item.indexes = item.indexes
?.map((index) => {
return {
...index,
text: simpleText(index.text)
};
})
.filter(Boolean);
});
// filter repeat or equal content
const set = new Set();
const filterResult: Record<string, PushDatasetDataChunkProps[]> = {

View File

@@ -1,9 +1,8 @@
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@fastgpt/service/common/response';
import { withNextCors } from '@fastgpt/service/common/middle/cors';
import type { SearchTestProps } from '@/global/core/api/datasetReq.d';
import type { SearchTestProps, SearchTestResponse } from '@/global/core/dataset/api.d';
import { connectToDatabase } from '@/service/mongo';
import type { SearchDataResponseItemType } from '@fastgpt/global/core/dataset/type';
import { authDataset } from '@fastgpt/service/support/permission/auth/dataset';
import { authTeamBalance } from '@/service/support/permission/auth/bill';
import { pushGenerateVectorBill } from '@/service/support/wallet/bill/push';
@@ -22,6 +21,8 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
throw new Error('缺少参数');
}
const start = Date.now();
// auth dataset role
const { dataset, teamId, tmbId, apikey } = await authDataset({
req,
@@ -61,8 +62,11 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
});
}
jsonRes<SearchDataResponseItemType[]>(res, {
data: searchRes
jsonRes<SearchTestResponse>(res, {
data: {
list: searchRes,
duration: `${((Date.now() - start) / 1000).toFixed(3)}s`
}
});
} catch (err) {
jsonRes(res, {

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@@ -1,17 +1,16 @@
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@fastgpt/service/common/response';
import { connectToDatabase } from '@/service/mongo';
import { MongoPlugin } from '@fastgpt/service/core/plugin/schema';
import { authPluginCrud } from '@fastgpt/service/support/permission/auth/plugin';
export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
try {
const { id } = req.query as { id: string };
await connectToDatabase();
await authPluginCrud({ req, authToken: true, id, per: 'r' });
const { plugin } = await authPluginCrud({ req, authToken: true, id, per: 'r' });
jsonRes(res, {
data: await MongoPlugin.findOne({ id })
data: plugin
});
} catch (err) {
jsonRes(res, {

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@@ -230,16 +230,13 @@ const Info = (
placeholder={'标签,使用空格分割。'}
maxLength={30}
onChange={(e) => {
setValue(
'tags',
e.target.value.split(' ').filter((item) => item)
);
setValue('tags', e.target.value.split(' ').filter(Boolean));
setRefresh(!refresh);
}}
/>
<Flex w={'100%'} pl={['90px', '160px']} mt={2}>
{getValues('tags')
.filter((item) => item)
.filter(Boolean)
.map((item, i) => (
<Tag mr={2} mb={2} key={i} whiteSpace={'nowrap'}>
{item}

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@@ -16,6 +16,7 @@ import { QuestionOutlineIcon } from '@chakra-ui/icons';
import { SearchDataResponseItemType } from '@fastgpt/global/core/dataset/type';
import { useTranslation } from 'next-i18next';
import { feConfigs } from '@/web/common/system/staticData';
import { SearchTestResponse } from '../../../../global/core/dataset/api';
const nanoid = customAlphabet('abcdefghijklmnopqrstuvwxyz1234567890', 12);
const Test = ({ datasetId }: { datasetId: string }) => {
@@ -37,20 +38,21 @@ const Test = ({ datasetId }: { datasetId: string }) => {
);
const { mutate, isLoading } = useRequest({
mutationFn: () => postSearchText({ datasetId, text: inputText.trim(), rerank, limit: 20 }),
onSuccess(res: SearchDataResponseItemType[]) {
if (!res || res.length === 0) {
mutationFn: () => postSearchText({ datasetId, text: inputText.trim(), rerank, limit: 30 }),
onSuccess(res: SearchTestResponse) {
if (!res || res.list.length === 0) {
return toast({
status: 'warning',
title: t('dataset.test.noResult')
});
}
const testItem = {
const testItem: SearchTestStoreItemType = {
id: nanoid(),
datasetId,
text: inputText.trim(),
time: new Date(),
results: res
results: res.list,
duration: res.duration
};
pushDatasetTestItem(testItem);
setDatasetTestItem(testItem);
@@ -176,7 +178,7 @@ const Test = ({ datasetId }: { datasetId: string }) => {
<>
<Flex alignItems={'center'}>
<Box fontSize={'3xl'} color={'myGray.600'}>
{t('core.dataset.test.Test Result')}
</Box>
<MyTooltip
label={
@@ -185,12 +187,13 @@ const Test = ({ datasetId }: { datasetId: string }) => {
forceShow
>
<QuestionOutlineIcon
ml={2}
mx={2}
color={'myGray.600'}
cursor={'pointer'}
fontSize={'lg'}
/>
</MyTooltip>
<Box>({datasetTestItem.duration})</Box>
</Flex>
<Grid
mt={1}

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@@ -178,7 +178,7 @@ const CreateModal = ({ onClose, parentId }: { onClose: () => void; parentId?: st
<Flex mt={2} flexWrap={'wrap'}>
{getValues('tags')
.split(' ')
.filter((item) => item)
.filter(Boolean)
.map((item, i) => (
<Tag mr={2} mb={2} key={i} whiteSpace={'nowrap'}>
{item}

View File

@@ -390,13 +390,11 @@ const Kb = () => {
</Flex>
<Box flex={'1 0 0'} overflow={'hidden'} pt={2}>
<Flex>
{dataset.tags
.filter((item) => item)
.map((tag, i) => (
<Tag key={i} mr={2} mb={2}>
{tag}
</Tag>
))}
{dataset.tags.filter(Boolean).map((tag, i) => (
<Tag key={i} mr={2} mb={2}>
{tag}
</Tag>
))}
</Flex>
</Box>
<Flex alignItems={'center'} fontSize={'sm'}>

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@@ -34,7 +34,7 @@ const PreviewPlugin = ({
item: {
moduleId: 'plugin',
flowType: FlowNodeTypeEnum.pluginModule,
logo: plugin.avatar,
avatar: plugin.avatar,
name: plugin.name,
intro: plugin.intro,
...formatPluginToPreviewModule(plugin._id, modules)

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@@ -48,27 +48,32 @@ const Render = ({ pluginId }: Props) => {
return copyTemplates;
}, [nodes]);
const { data } = useQuery(['getOnePlugin', pluginId], () => getOnePlugin(pluginId), {
onError: (error) => {
toast({
status: 'warning',
title: getErrText(error, t('plugin.Load Plugin Failed'))
});
router.replace('/plugin/list');
const { data: pluginDetail } = useQuery(
['getOnePlugin', pluginId],
() => getOnePlugin(pluginId),
{
onError: (error) => {
toast({
status: 'warning',
title: getErrText(error, t('plugin.Load Plugin Failed'))
});
router.replace('/plugin/list');
}
}
});
);
console.log(pluginDetail);
useQuery(['getPlugTemplates'], () => loadPluginTemplates());
const filterPlugins = useMemo(() => {
return pluginModuleTemplates.filter((item) => item.id !== pluginId);
}, [pluginId, pluginModuleTemplates]);
return data ? (
return pluginDetail ? (
<Flow
systemTemplates={filterTemplates}
pluginTemplates={filterPlugins}
modules={data?.modules || []}
Header={<Header plugin={data} onClose={() => router.back()} />}
modules={pluginDetail?.modules || []}
Header={<Header plugin={pluginDetail} onClose={() => router.back()} />}
/>
) : (
<Loading />

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@@ -24,17 +24,81 @@ import MyModal from '@/components/MyModal';
import { useTranslation } from 'next-i18next';
import { useConfirm } from '@/web/common/hooks/useConfirm';
import MyIcon from '@/components/Icon';
import { CreateOnePluginParams } from '@fastgpt/global/core/plugin/controller';
export type FormType = {
export type FormType = CreateOnePluginParams & {
id?: string;
avatar: string;
name: string;
intro: string;
};
export const defaultForm = {
export const defaultForm: FormType = {
avatar: '/icon/logo.svg',
name: '',
intro: ''
intro: '',
modules: [
{
moduleId: 'w90mfp',
name: '定义插件输入',
avatar: '/imgs/module/input.png',
flowType: 'pluginInput',
showStatus: false,
position: {
x: 616.4226348688949,
y: -165.05298493910115
},
inputs: [
{
key: 'question',
valueType: 'string',
type: 'target',
label: '用户问题',
required: true,
edit: true,
connected: false
}
],
outputs: [
{
key: 'question',
valueType: 'string',
label: '用户问题',
type: 'source',
edit: true,
targets: []
}
]
},
{
moduleId: 'tze1ju',
name: '定义插件输出',
avatar: '/imgs/module/output.png',
flowType: 'pluginOutput',
showStatus: false,
position: {
x: 1607.7142331269126,
y: -151.8669210746189
},
inputs: [
{
key: 'answer',
type: 'target',
valueType: 'string',
label: '答案',
required: true,
edit: true,
connected: true
}
],
outputs: [
{
key: 'answer',
valueType: 'string',
label: '答案',
type: 'source',
edit: true,
targets: []
}
]
}
]
};
const CreateModal = ({