mirror of
https://github.com/QuantumNous/new-api.git
synced 2026-04-15 17:47:27 +00:00
Compare commits
2 Commits
| Author | SHA1 | Date | |
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93cda60d44 | ||
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2ec5eafbce |
@@ -97,6 +97,7 @@ func FetchUpstreamModels(c *gin.Context) {
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})
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return
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}
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channel, err := model.GetChannelById(id, true)
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if err != nil {
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c.JSON(http.StatusOK, gin.H{
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@@ -105,34 +106,35 @@ func FetchUpstreamModels(c *gin.Context) {
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})
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return
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}
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if channel.Type != common.ChannelTypeOpenAI {
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c.JSON(http.StatusOK, gin.H{
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"success": false,
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"message": "仅支持 OpenAI 类型渠道",
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})
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return
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//if channel.Type != common.ChannelTypeOpenAI {
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// c.JSON(http.StatusOK, gin.H{
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// "success": false,
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// "message": "仅支持 OpenAI 类型渠道",
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// })
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// return
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//}
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baseURL := common.ChannelBaseURLs[channel.Type]
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if channel.GetBaseURL() == "" {
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channel.BaseURL = &baseURL
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}
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url := fmt.Sprintf("%s/v1/models", *channel.BaseURL)
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url := fmt.Sprintf("%s/v1/models", baseURL)
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body, err := GetResponseBody("GET", url, channel, GetAuthHeader(channel.Key))
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if err != nil {
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c.JSON(http.StatusOK, gin.H{
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"success": false,
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"message": err.Error(),
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})
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return
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}
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result := OpenAIModelsResponse{}
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err = json.Unmarshal(body, &result)
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if err != nil {
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var result OpenAIModelsResponse
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if err = json.Unmarshal(body, &result); err != nil {
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c.JSON(http.StatusOK, gin.H{
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"success": false,
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"message": err.Error(),
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})
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}
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if !result.Success {
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c.JSON(http.StatusOK, gin.H{
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"success": false,
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"message": "上游返回错误",
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"message": fmt.Sprintf("解析响应失败: %s", err.Error()),
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})
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return
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}
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var ids []string
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@@ -492,3 +494,79 @@ func UpdateChannel(c *gin.Context) {
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})
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return
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}
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func FetchModels(c *gin.Context) {
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var req struct {
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BaseURL string `json:"base_url"`
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Key string `json:"key"`
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}
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if err := c.ShouldBindJSON(&req); err != nil {
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c.JSON(http.StatusBadRequest, gin.H{
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"success": false,
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"message": "Invalid request",
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})
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return
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}
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baseURL := req.BaseURL
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if baseURL == "" {
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baseURL = "https://api.openai.com"
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}
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client := &http.Client{}
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url := fmt.Sprintf("%s/v1/models", baseURL)
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request, err := http.NewRequest("GET", url, nil)
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if err != nil {
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c.JSON(http.StatusInternalServerError, gin.H{
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"success": false,
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"message": err.Error(),
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})
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return
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}
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request.Header.Set("Authorization", "Bearer "+req.Key)
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response, err := client.Do(request)
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if err != nil {
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c.JSON(http.StatusInternalServerError, gin.H{
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"success": false,
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"message": err.Error(),
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})
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return
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}
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//check status code
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if response.StatusCode != http.StatusOK {
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c.JSON(http.StatusInternalServerError, gin.H{
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"success": false,
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"message": "Failed to fetch models",
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})
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return
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}
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defer response.Body.Close()
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var result struct {
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Data []struct {
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ID string `json:"id"`
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} `json:"data"`
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}
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if err := json.NewDecoder(response.Body).Decode(&result); err != nil {
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c.JSON(http.StatusInternalServerError, gin.H{
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"success": false,
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"message": err.Error(),
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})
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return
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}
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var models []string
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for _, model := range result.Data {
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models = append(models, model.ID)
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}
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c.JSON(http.StatusOK, gin.H{
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"success": true,
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"data": models,
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})
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}
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@@ -98,6 +98,7 @@ func SetApiRouter(router *gin.Engine) {
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channelRoute.POST("/batch", controller.DeleteChannelBatch)
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channelRoute.POST("/fix", controller.FixChannelsAbilities)
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channelRoute.GET("/fetch_models/:id", controller.FetchUpstreamModels)
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channelRoute.POST("/fetch_models", controller.FetchModels)
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}
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tokenRoute := apiRouter.Group("/token")
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@@ -1,4 +1,4 @@
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import React, { useEffect, useState } from 'react';
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import React, { useContext, useEffect, useState } from 'react';
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import { useTranslation } from 'react-i18next';
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import {
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API,
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@@ -33,6 +33,7 @@ import {
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} from '../helpers/render';
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import Paragraph from '@douyinfe/semi-ui/lib/es/typography/paragraph';
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import { getLogOther } from '../helpers/other.js';
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import { StyleContext } from '../context/Style/index.js';
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const { Header } = Layout;
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@@ -406,6 +407,7 @@ const LogsTable = () => {
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},
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];
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const [styleState, styleDispatch] = useContext(StyleContext);
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const [logs, setLogs] = useState([]);
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const [expandData, setExpandData] = useState({});
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const [showStat, setShowStat] = useState(false);
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@@ -443,12 +445,17 @@ const LogsTable = () => {
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});
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const handleInputChange = (value, name) => {
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// console.log('name:', name, 'value:', value);
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setInputs((inputs) => ({ ...inputs, [name]: value }));
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if (value && (name === 'start_timestamp' || name === 'end_timestamp')) {
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// 确保日期值是有效的
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const dateValue = typeof value === 'string' ? value : timestamp2string(value);
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setInputs(inputs => ({ ...inputs, [name]: dateValue }));
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} else {
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setInputs(inputs => ({ ...inputs, [name]: value }));
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}
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};
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const getLogSelfStat = async () => {
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let localStartTimestamp = Date.parse(start_timestamp) / 1000;
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let localStartTimestamp = Date.parse(3) / 1000;
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let localEndTimestamp = Date.parse(end_timestamp) / 1000;
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let url = `/api/log/self/stat?type=${logType}&token_name=${token_name}&model_name=${model_name}&start_timestamp=${localStartTimestamp}&end_timestamp=${localEndTimestamp}&group=${group}`;
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url = encodeURI(url);
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@@ -694,19 +701,47 @@ const LogsTable = () => {
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<Form layout='horizontal' style={{ marginTop: 10 }}>
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<>
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<Form.Section>
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<div style={{ display: 'flex', marginBottom: 10 }}>
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<Form.DatePicker
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field="range_timestamp"
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label={t('时间范围')}
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initValue={[start_timestamp, end_timestamp]}
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value={[start_timestamp, end_timestamp]}
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type="dateTimeRange"
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name="range_timestamp"
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onChange={(value) => {
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handleInputChange(value[0], 'start_timestamp');
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handleInputChange(value[1], 'end_timestamp');
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}}
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/>
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<div style={{ marginBottom: 10 }}>
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{
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styleState.isMobile ? (
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<div>
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<Form.DatePicker
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field='start_timestamp'
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label={t('起始时间')}
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style={{ width: 272 }}
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initValue={start_timestamp}
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type='dateTime'
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onChange={(value) => {
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console.log(value);
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handleInputChange(value, 'start_timestamp')
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}}
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/>
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<Form.DatePicker
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field='end_timestamp'
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fluid
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label={t('结束时间')}
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style={{ width: 272 }}
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initValue={end_timestamp}
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type='dateTime'
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onChange={(value) => handleInputChange(value, 'end_timestamp')}
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/>
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</div>
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) : (
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<Form.DatePicker
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field="range_timestamp"
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label={t('时间范围')}
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initValue={[start_timestamp, end_timestamp]}
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type="dateTimeRange"
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name="range_timestamp"
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onChange={(value) => {
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if (Array.isArray(value) && value.length === 2) {
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handleInputChange(value[0], 'start_timestamp');
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handleInputChange(value[1], 'end_timestamp');
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}
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}}
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/>
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)
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}
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</div>
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</Form.Section>
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<Form.Input
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@@ -1234,5 +1234,6 @@
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"应用更改": "Apply changes",
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"更多": "Expand more",
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"个模型": "models",
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"可用模型": "Available models"
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"可用模型": "Available models",
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"时间范围": "Time range"
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}
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@@ -193,14 +193,16 @@ const EditChannel = (props) => {
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const fetchUpstreamModelList = async (name) => {
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if (inputs['type'] !== 1) {
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showError(t('仅支持 OpenAI 接口格式'));
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return;
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}
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// if (inputs['type'] !== 1) {
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// showError(t('仅支持 OpenAI 接口格式'));
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// return;
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// }
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setLoading(true);
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const models = inputs['models'] || [];
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let err = false;
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if (isEdit) {
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// 如果是编辑模式,使用已有的channel id获取模型列表
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const res = await API.get('/api/channel/fetch_models/' + channelId);
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if (res.data && res.data?.success) {
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models.push(...res.data.data);
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@@ -208,30 +210,29 @@ const EditChannel = (props) => {
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err = true;
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}
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} else {
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// 如果是新建模式,通过后端代理获取模型列表
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if (!inputs?.['key']) {
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showError(t('请填写密钥'));
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err = true;
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} else {
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try {
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const host = new URL((inputs['base_url'] || 'https://api.openai.com'));
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const url = `https://${host.hostname}/v1/models`;
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const key = inputs['key'];
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const res = await axios.get(url, {
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headers: {
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'Authorization': `Bearer ${key}`
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}
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const res = await API.post('/api/channel/fetch_models', {
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base_url: inputs['base_url'],
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key: inputs['key']
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});
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if (res.data) {
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models.push(...res.data.data.map((model) => model.id));
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if (res.data && res.data.success) {
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models.push(...res.data.data);
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} else {
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err = true;
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}
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} catch (error) {
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console.error('Error fetching models:', error);
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err = true;
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}
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}
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}
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if (!err) {
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handleInputChange(name, Array.from(new Set(models)));
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showSuccess(t('获取模型列表成功'));
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@@ -638,7 +639,7 @@ const EditChannel = (props) => {
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{inputs.type === 21 && (
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<>
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<div style={{ marginTop: 10 }}>
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<Typography.Text strong>知识库 ID:</Typography.Text>
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<Typography.Text strong><EFBFBD><EFBFBD>识库 ID:</Typography.Text>
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</div>
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<Input
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label="知识库 ID"
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