mirror of
				https://github.com/linux-do/new-api.git
				synced 2025-11-04 21:33:41 +08:00 
			
		
		
		
	feat: 日志优化逻辑,新增请求时间和是否为stream字段
This commit is contained in:
		@@ -12,6 +12,7 @@ import (
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	"one-api/common"
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	"one-api/model"
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	"strings"
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	"time"
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)
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var availableVoices = []string{
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@@ -24,12 +25,12 @@ var availableVoices = []string{
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}
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func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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	tokenId := c.GetInt("token_id")
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	channelType := c.GetInt("channel")
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	channelId := c.GetInt("channel_id")
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	userId := c.GetInt("id")
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	group := c.GetString("group")
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	startTime := time.Now()
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	var audioRequest AudioRequest
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	if !strings.HasPrefix(c.Request.URL.Path, "/v1/audio/transcriptions") {
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@@ -154,6 +155,7 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
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	defer func(ctx context.Context) {
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		go func() {
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			useTimeSeconds := time.Now().Unix() - startTime.Unix()
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			quota := 0
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			var promptTokens = 0
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			if strings.HasPrefix(audioRequest.Model, "tts-1") {
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@@ -178,7 +180,7 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
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			if quota != 0 {
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				tokenName := c.GetString("token_name")
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				logContent := fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f", modelRatio, groupRatio)
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				model.RecordConsumeLog(ctx, userId, channelId, promptTokens, 0, audioRequest.Model, tokenName, quota, logContent, tokenId, userQuota)
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				model.RecordConsumeLog(ctx, userId, channelId, promptTokens, 0, audioRequest.Model, tokenName, quota, logContent, tokenId, userQuota, int(useTimeSeconds), false)
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				model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
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				channelId := c.GetInt("channel_id")
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				model.UpdateChannelUsedQuota(channelId, quota)
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@@ -12,6 +12,7 @@ import (
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	"one-api/common"
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	"one-api/model"
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	"strings"
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	"time"
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)
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func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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@@ -21,6 +22,7 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
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	userId := c.GetInt("id")
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	consumeQuota := c.GetBool("consume_quota")
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	group := c.GetString("group")
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	startTime := time.Now()
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	var imageRequest ImageRequest
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	if consumeQuota {
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@@ -169,6 +171,7 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
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	var textResponse ImageResponse
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	defer func(ctx context.Context) {
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		useTimeSeconds := time.Now().Unix() - startTime.Unix()
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		if consumeQuota {
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			if resp.StatusCode != http.StatusOK {
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				return
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@@ -184,7 +187,7 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
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			if quota != 0 {
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				tokenName := c.GetString("token_name")
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				logContent := fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f", modelRatio, groupRatio)
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				model.RecordConsumeLog(ctx, userId, channelId, 0, 0, imageRequest.Model, tokenName, quota, logContent, tokenId, userQuota)
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				model.RecordConsumeLog(ctx, userId, channelId, 0, 0, imageRequest.Model, tokenName, quota, logContent, tokenId, userQuota, int(useTimeSeconds), false)
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				model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
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				channelId := c.GetInt("channel_id")
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				model.UpdateChannelUsedQuota(channelId, quota)
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@@ -478,7 +478,7 @@ func relayMidjourneySubmit(c *gin.Context, relayMode int) *MidjourneyResponse {
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			if quota != 0 {
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				tokenName := c.GetString("token_name")
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				logContent := fmt.Sprintf("模型固定价格 %.2f,分组倍率 %.2f,操作 %s", modelPrice, groupRatio, midjRequest.Action)
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				model.RecordConsumeLog(ctx, userId, channelId, 0, 0, imageModel, tokenName, quota, logContent, tokenId, userQuota)
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				model.RecordConsumeLog(ctx, userId, channelId, 0, 0, imageModel, tokenName, quota, logContent, tokenId, userQuota, 0, false)
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				model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
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				channelId := c.GetInt("channel_id")
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				model.UpdateChannelUsedQuota(channelId, quota)
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@@ -508,9 +508,9 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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			useTimeSeconds := time.Now().Unix() - startTime.Unix()
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			var logContent string
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			if modelPrice == -1 {
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				logContent = fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f,用时 %d秒", modelRatio, groupRatio, useTimeSeconds)
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				logContent = fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f", modelRatio, groupRatio)
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			} else {
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				logContent = fmt.Sprintf("模型价格 %.2f,分组倍率 %.2f,用时 %d秒", modelPrice, groupRatio, useTimeSeconds)
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				logContent = fmt.Sprintf("模型价格 %.2f,分组倍率 %.2f", modelPrice, groupRatio)
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			}
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			logModel := textRequest.Model
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			if strings.HasPrefix(logModel, "gpt-4-gizmo") {
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@@ -518,7 +518,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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				logContent += fmt.Sprintf(",模型 %s", textRequest.Model)
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			}
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			model.RecordConsumeLog(ctx, userId, channelId, promptTokens, completionTokens, logModel, tokenName, quota, logContent, tokenId, userQuota)
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			model.RecordConsumeLog(ctx, userId, channelId, promptTokens, completionTokens, logModel, tokenName, quota, logContent, tokenId, userQuota, int(useTimeSeconds), isStream)
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			model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
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			model.UpdateChannelUsedQuota(channelId, quota)
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			//if quota != 0 {
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@@ -20,6 +20,8 @@ type Log struct {
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	Quota            int    `json:"quota" gorm:"default:0"`
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	PromptTokens     int    `json:"prompt_tokens" gorm:"default:0"`
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	CompletionTokens int    `json:"completion_tokens" gorm:"default:0"`
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	UseTime          int    `json:"use_time" gorm:"bigint;default:0"`
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	IsStream         bool   `json:"is_stream" gorm:"default:false"`
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	ChannelId        int    `json:"channel" gorm:"index"`
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	TokenId          int    `json:"token_id" gorm:"default:0;index"`
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}
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@@ -55,7 +57,7 @@ func RecordLog(userId int, logType int, content string) {
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	}
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}
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func RecordConsumeLog(ctx context.Context, userId int, channelId int, promptTokens int, completionTokens int, modelName string, tokenName string, quota int, content string, tokenId int, userQuota int) {
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func RecordConsumeLog(ctx context.Context, userId int, channelId int, promptTokens int, completionTokens int, modelName string, tokenName string, quota int, content string, tokenId int, userQuota int, useTimeSeconds int, isStream bool) {
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	common.LogInfo(ctx, fmt.Sprintf("record consume log: userId=%d, 用户调用前余额=%d, channelId=%d, promptTokens=%d, completionTokens=%d, modelName=%s, tokenName=%s, quota=%d, content=%s", userId, userQuota, channelId, promptTokens, completionTokens, modelName, tokenName, quota, content))
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	if !common.LogConsumeEnabled {
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		return
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@@ -74,6 +76,8 @@ func RecordConsumeLog(ctx context.Context, userId int, channelId int, promptToke
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		Quota:            quota,
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		ChannelId:        channelId,
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		TokenId:          tokenId,
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		UseTime:          useTimeSeconds,
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		IsStream:         isStream,
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	}
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	err := DB.Create(log).Error
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	if err != nil {
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@@ -54,5 +54,5 @@
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    "singleQuote": true,
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    "jsxSingleQuote": true
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  },
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  "proxy": "https://nekoapi.com"
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  "proxy": "http://localhost:3000"
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}
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@@ -2,7 +2,7 @@ import React, {useEffect, useState} from 'react';
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import {Label} from 'semantic-ui-react';
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import {API, copy, isAdmin, showError, showSuccess, timestamp2string} from '../helpers';
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import {Table, Avatar, Tag, Form, Button, Layout, Select, Popover, Modal, Spin} from '@douyinfe/semi-ui';
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import {Table, Avatar, Tag, Form, Button, Layout, Select, Popover, Modal, Spin, Space} from '@douyinfe/semi-ui';
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import {ITEMS_PER_PAGE} from '../constants';
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import {renderNumber, renderQuota, stringToColor} from '../helpers/render';
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import {
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@@ -56,6 +56,25 @@ function renderType(type) {
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    }
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}
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function renderIsStream(bool) {
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    if (bool) {
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        return <Tag color='blue' size='large'>流</Tag>;
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    } else {
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        return <Tag color='purple' size='large'>非流</Tag>;
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    }
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}
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function renderUseTime(type) {
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    const time = parseInt(type);
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    if (time < 101) {
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        return <Tag color='green' size='large'> {time} s </Tag>;
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    } else if (time < 300) {
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        return <Tag color='orange' size='large'> {time} s </Tag>;
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    } else {
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        return <Tag color='red' size='large'> {time} s </Tag>;
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    }
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}
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const LogsTable = () => {
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    const columns = [
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        {
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@@ -142,6 +161,20 @@ const LogsTable = () => {
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                );
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            },
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        },
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        {
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            title: '用时',
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            dataIndex: 'use_time',
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            render: (text, record, index) => {
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                return (
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                    <div>
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                        <Space>
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                            {renderUseTime(text)}
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                            {renderIsStream(record.is_stream)}
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                        </Space>
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                    </div>
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                );
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            },
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        },
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        {
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            title: '提示',
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            dataIndex: 'prompt_tokens',
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@@ -1,5 +1,4 @@
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import React from 'react';
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import { Header, Segment } from 'semantic-ui-react';
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import LogsTable from '../../components/LogsTable';
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const Token = () => (
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