4.8.23 dev (#3917)

* fix: icon refresh

* fix: aiproxy http request

* fix: collection list count

* fix: collection list count

* fix: tts selector name

* update action
This commit is contained in:
Archer
2025-02-27 22:15:48 +08:00
committed by GitHub
parent 1121ea33bd
commit fc9e614f88
7 changed files with 19 additions and 23 deletions

View File

@@ -42,7 +42,7 @@ const TTSSelect = ({
label: (
<HStack>
<Avatar borderRadius={'0'} w={'1.25rem'} src={providerData.avatar} />
<Box>{t(providerData.name)}</Box>
<Box>{t(model.name as any)}</Box>
</HStack>
),
value: model.model,

View File

@@ -1,6 +1,7 @@
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@fastgpt/service/common/response';
import { request } from 'https';
import { request as httpsRequest } from 'https';
import { request as httpRequest } from 'http';
import { authSystemAdmin } from '@fastgpt/service/support/permission/user/auth';
const baseUrl = process.env.AIPROXY_API_ENDPOINT;
@@ -30,7 +31,10 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
delete req.headers?.host;
delete req.headers?.origin;
const requestResult = request({
// Select request function based on protocol
const requestFn = parsedUrl.protocol === 'https:' ? httpsRequest : httpRequest;
const requestResult = requestFn({
protocol: parsedUrl.protocol,
hostname: parsedUrl.hostname,
port: parsedUrl.port,

View File

@@ -14,6 +14,7 @@ import { PaginationResponse } from '@fastgpt/web/common/fetch/type';
import { parsePaginationRequest } from '@fastgpt/service/common/api/pagination';
import { DatasetCollectionSchemaType } from '@fastgpt/global/core/dataset/type';
import { MongoDatasetData } from '@fastgpt/service/core/dataset/data/schema';
import { MongoDatasetTraining } from '@fastgpt/service/core/dataset/training/schema';
async function handler(
req: NextApiRequest
@@ -115,7 +116,7 @@ async function handler(
{ _id: string; count: number }[],
{ _id: string; count: number }[]
] = await Promise.all([
MongoDatasetCollection.aggregate(
MongoDatasetTraining.aggregate(
[
{
$match: {