feat(dashboard): add admin user analytics and fix chart labels
- Add GET /api/data/users endpoint for user-grouped quota data (admin only) - Add user consumption ranking (horizontal bar, top 10) and user consumption trend (area chart) tabs visible only to admin users - Fix mislabeled "消耗趋势" tab to "调用趋势" (shows call counts, not quota) - Add processUserData helper for user ranking and trend data extraction - Add i18n keys for new tabs across all 7 locales
This commit is contained in:
@@ -27,6 +27,21 @@ func GetAllQuotaDates(c *gin.Context) {
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return
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}
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func GetQuotaDatesByUser(c *gin.Context) {
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startTimestamp, _ := strconv.ParseInt(c.Query("start_timestamp"), 10, 64)
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endTimestamp, _ := strconv.ParseInt(c.Query("end_timestamp"), 10, 64)
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dates, err := model.GetQuotaDataGroupByUser(startTimestamp, endTimestamp)
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if err != nil {
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common.ApiError(c, err)
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return
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}
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c.JSON(http.StatusOK, gin.H{
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"success": true,
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"message": "",
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"data": dates,
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})
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}
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func GetUserQuotaDates(c *gin.Context) {
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userId := c.GetInt("id")
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startTimestamp, _ := strconv.ParseInt(c.Query("start_timestamp"), 10, 64)
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@@ -115,6 +115,16 @@ func GetQuotaDataByUserId(userId int, startTime int64, endTime int64) (quotaData
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return quotaDatas, err
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}
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func GetQuotaDataGroupByUser(startTime int64, endTime int64) (quotaData []*QuotaData, err error) {
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var quotaDatas []*QuotaData
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err = DB.Table("quota_data").
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Select("username, created_at, sum(count) as count, sum(quota) as quota, sum(token_used) as token_used").
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Where("created_at >= ? and created_at <= ?", startTime, endTime).
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Group("username, created_at").
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Find("aDatas).Error
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return quotaDatas, err
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}
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func GetAllQuotaDates(startTime int64, endTime int64, username string) (quotaData []*QuotaData, err error) {
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if username != "" {
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return GetQuotaDataByUsername(username, startTime, endTime)
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@@ -293,6 +293,7 @@ func SetApiRouter(router *gin.Engine) {
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dataRoute := apiRouter.Group("/data")
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dataRoute.GET("/", middleware.AdminAuth(), controller.GetAllQuotaDates)
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dataRoute.GET("/users", middleware.AdminAuth(), controller.GetQuotaDatesByUser)
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dataRoute.GET("/self", middleware.UserAuth(), controller.GetUserQuotaDates)
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logRoute.Use(middleware.CORS(), middleware.CriticalRateLimit())
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@@ -29,6 +29,9 @@ const ChartsPanel = ({
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spec_model_line,
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spec_pie,
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spec_rank_bar,
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spec_user_rank,
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spec_user_trend,
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isAdminUser,
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CARD_PROPS,
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CHART_CONFIG,
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FLEX_CENTER_GAP2,
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@@ -51,9 +54,15 @@ const ChartsPanel = ({
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onChange={setActiveChartTab}
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>
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<TabPane tab={<span>{t('消耗分布')}</span>} itemKey='1' />
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<TabPane tab={<span>{t('消耗趋势')}</span>} itemKey='2' />
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<TabPane tab={<span>{t('调用趋势')}</span>} itemKey='2' />
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<TabPane tab={<span>{t('调用次数分布')}</span>} itemKey='3' />
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<TabPane tab={<span>{t('调用次数排行')}</span>} itemKey='4' />
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{isAdminUser && (
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<TabPane tab={<span>{t('用户消耗排行')}</span>} itemKey='5' />
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)}
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{isAdminUser && (
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<TabPane tab={<span>{t('用户消耗趋势')}</span>} itemKey='6' />
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)}
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</Tabs>
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</div>
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}
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@@ -72,6 +81,12 @@ const ChartsPanel = ({
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{activeChartTab === '4' && (
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<VChart spec={spec_rank_bar} option={CHART_CONFIG} />
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)}
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{activeChartTab === '5' && isAdminUser && (
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<VChart spec={spec_user_rank} option={CHART_CONFIG} />
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)}
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{activeChartTab === '6' && isAdminUser && (
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<VChart spec={spec_user_trend} option={CHART_CONFIG} />
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)}
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</div>
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</Card>
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);
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@@ -86,12 +86,22 @@ const Dashboard = () => {
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);
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// ========== 数据处理 ==========
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const loadUserData = async () => {
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if (dashboardData.isAdminUser) {
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const userData = await dashboardData.loadUserQuotaData();
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if (userData && userData.length > 0) {
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dashboardCharts.updateUserChartData(userData);
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}
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}
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};
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const initChart = async () => {
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await dashboardData.loadQuotaData().then((data) => {
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if (data && data.length > 0) {
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dashboardCharts.updateChartData(data);
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}
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});
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await loadUserData();
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await dashboardData.loadUptimeData();
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};
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@@ -100,10 +110,12 @@ const Dashboard = () => {
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if (data && data.length > 0) {
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dashboardCharts.updateChartData(data);
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}
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await loadUserData();
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};
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const handleSearchConfirm = async () => {
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await dashboardData.handleSearchConfirm(dashboardCharts.updateChartData);
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await loadUserData();
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};
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// ========== 数据准备 ==========
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@@ -182,6 +194,9 @@ const Dashboard = () => {
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spec_model_line={dashboardCharts.spec_model_line}
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spec_pie={dashboardCharts.spec_pie}
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spec_rank_bar={dashboardCharts.spec_rank_bar}
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spec_user_rank={dashboardCharts.spec_user_rank}
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spec_user_trend={dashboardCharts.spec_user_trend}
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isAdminUser={dashboardData.isAdminUser}
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CARD_PROPS={CARD_PROPS}
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CHART_CONFIG={CHART_CONFIG}
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FLEX_CENTER_GAP2={FLEX_CENTER_GAP2}
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Vendored
+55
@@ -387,3 +387,58 @@ export const generateChartTimePoints = (
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return chartTimePoints;
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};
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// ========== 用户维度数据处理 ==========
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export const processUserData = (data, dataExportDefaultTime, limit = 10) => {
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const userQuotaTotal = new Map();
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data.forEach((item) => {
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const prev = userQuotaTotal.get(item.username) || 0;
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userQuotaTotal.set(item.username, prev + item.quota);
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});
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const sorted = Array.from(userQuotaTotal.entries()).sort(
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(a, b) => b[1] - a[1],
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);
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const topUsers = sorted.slice(0, limit).map(([u]) => u);
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const topUserSet = new Set(topUsers);
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const rankingData = sorted.slice(0, limit).map(([username, quota]) => ({
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User: username,
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Quota: quota,
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}));
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const showYear = isDataCrossYear(data.map((item) => item.created_at));
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const timeUserMap = new Map();
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const allTimePoints = new Set();
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data.forEach((item) => {
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const timeKey = timestamp2string1(
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item.created_at,
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dataExportDefaultTime,
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showYear,
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);
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allTimePoints.add(timeKey);
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const user = topUserSet.has(item.username) ? item.username : null;
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if (!user) return;
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const key = `${timeKey}-${user}`;
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const prev = timeUserMap.get(key) || { quota: 0 };
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timeUserMap.set(key, { quota: prev.quota + item.quota });
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});
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const sortedTimePoints = Array.from(allTimePoints).sort();
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const trendData = [];
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sortedTimePoints.forEach((time) => {
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topUsers.forEach((user) => {
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const key = `${time}-${user}`;
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const val = timeUserMap.get(key);
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trendData.push({
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Time: time,
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User: user,
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Quota: val?.quota || 0,
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});
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});
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});
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return { rankingData, trendData, topUsers };
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};
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+125
-6
@@ -34,8 +34,14 @@ import {
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updateChartSpec,
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updateMapValue,
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initializeMaps,
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processUserData,
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} from '../../helpers/dashboard';
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const USER_COLORS = [
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'#3b82f6', '#ef4444', '#10b981', '#f59e0b', '#8b5cf6',
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'#ec4899', '#06b6d4', '#f97316', '#6366f1', '#14b8a6',
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];
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export const useDashboardCharts = (
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dataExportDefaultTime,
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setTrendData,
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@@ -179,7 +185,6 @@ export const useDashboardCharts = (
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},
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});
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// 模型消耗趋势折线图
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const [spec_model_line, setSpecModelLine] = useState({
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type: 'line',
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data: [
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@@ -197,7 +202,7 @@ export const useDashboardCharts = (
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},
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title: {
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visible: true,
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text: t('模型消耗趋势'),
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text: t('调用趋势'),
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subtext: '',
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},
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tooltip: {
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@@ -215,7 +220,6 @@ export const useDashboardCharts = (
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},
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});
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// 模型调用次数排行柱状图
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const [spec_rank_bar, setSpecRankBar] = useState({
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type: 'bar',
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data: [
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@@ -259,6 +263,76 @@ export const useDashboardCharts = (
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},
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});
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// ========== Admin: 用户消耗排行 ==========
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const [spec_user_rank, setSpecUserRank] = useState({
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type: 'bar',
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data: [{ id: 'userRankData', values: [] }],
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xField: 'rawQuota',
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yField: 'User',
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seriesField: 'User',
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direction: 'horizontal',
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legends: { visible: false },
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title: {
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visible: true,
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text: t('用户消耗排行'),
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subtext: '',
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},
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bar: {
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state: { hover: { stroke: '#000', lineWidth: 1 } },
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},
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label: {
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visible: true,
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position: 'outside',
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formatMethod: (value, datum) => renderQuota(datum['rawQuota'] || 0, 2),
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},
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axes: [{
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orient: 'left',
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type: 'band',
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label: { visible: true },
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}, {
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orient: 'bottom',
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type: 'linear',
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visible: false,
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}],
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tooltip: {
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mark: {
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content: [{
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key: (datum) => datum['User'],
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value: (datum) => renderQuota(datum['rawQuota'] || 0, 4),
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}],
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},
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},
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color: { type: 'ordinal', range: USER_COLORS },
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});
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// ========== Admin: 用户消耗趋势 ==========
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const [spec_user_trend, setSpecUserTrend] = useState({
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type: 'area',
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data: [{ id: 'userTrendData', values: [] }],
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xField: 'Time',
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yField: 'rawQuota',
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seriesField: 'User',
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stack: false,
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legends: { visible: true, selectMode: 'single' },
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title: {
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visible: true,
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text: t('用户消耗趋势'),
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subtext: '',
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},
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area: { style: { fillOpacity: 0.15 } },
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line: { style: { lineWidth: 2 } },
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point: { visible: false },
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tooltip: {
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mark: {
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content: [{
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key: (datum) => datum['User'],
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value: (datum) => renderQuota(datum['rawQuota'] || 0, 4),
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}],
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},
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},
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color: { type: 'ordinal', range: USER_COLORS },
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});
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// ========== 数据处理函数 ==========
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const generateModelColors = useCallback((uniqueModels, modelColors) => {
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const newModelColors = {};
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@@ -426,6 +500,51 @@ export const useDashboardCharts = (
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],
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);
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// ========== 用户维度图表数据处理 ==========
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const updateUserChartData = useCallback(
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(data) => {
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const { rankingData, trendData: userTrend } = processUserData(
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data,
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dataExportDefaultTime,
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10,
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);
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const userRankValues = rankingData.map((item) => ({
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User: item.User,
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rawQuota: item.Quota,
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Quota: getQuotaWithUnit(item.Quota, 4),
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})).sort((a, b) => a.rawQuota - b.rawQuota);
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const totalUserQuota = rankingData.reduce((s, i) => s + i.Quota, 0);
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setSpecUserRank((prev) => ({
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...prev,
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data: [{ id: 'userRankData', values: userRankValues }],
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title: {
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...prev.title,
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subtext: `${t('总计')}:${renderQuota(totalUserQuota, 2)}`,
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},
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}));
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const userTrendValues = userTrend.map((item) => ({
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Time: item.Time,
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User: item.User,
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rawQuota: item.Quota,
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Usage: item.Quota ? getQuotaWithUnit(item.Quota, 4) : 0,
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}));
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setSpecUserTrend((prev) => ({
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...prev,
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data: [{ id: 'userTrendData', values: userTrendValues }],
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title: {
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...prev.title,
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subtext: `${t('总计')}:${renderQuota(totalUserQuota, 2)}`,
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},
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}));
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},
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[dataExportDefaultTime, t],
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);
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// ========== 初始化图表主题 ==========
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useEffect(() => {
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initVChartSemiTheme({
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@@ -434,14 +553,14 @@ export const useDashboardCharts = (
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}, []);
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return {
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// 图表规格
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spec_pie,
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spec_line,
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spec_model_line,
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spec_rank_bar,
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// 函数
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spec_user_rank,
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spec_user_trend,
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updateChartData,
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updateUserChartData,
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generateModelColors,
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};
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};
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+22
@@ -213,6 +213,27 @@ export const useDashboardData = (userState, userDispatch, statusState) => {
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}
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}, [activeUptimeTab]);
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const loadUserQuotaData = useCallback(async () => {
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if (!isAdminUser) return [];
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try {
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const { start_timestamp, end_timestamp } = inputs;
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const localStartTimestamp = Date.parse(start_timestamp) / 1000;
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const localEndTimestamp = Date.parse(end_timestamp) / 1000;
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const url = `/api/data/users?start_timestamp=${localStartTimestamp}&end_timestamp=${localEndTimestamp}`;
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const res = await API.get(url);
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const { success, message, data } = res.data;
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if (success) {
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return data || [];
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} else {
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showError(message);
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return [];
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}
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} catch (err) {
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console.error(err);
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return [];
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}
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}, [inputs, isAdminUser]);
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const getUserData = useCallback(async () => {
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let res = await API.get(`/api/user/self`);
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const { success, message, data } = res.data;
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@@ -311,6 +332,7 @@ export const useDashboardData = (userState, userDispatch, statusState) => {
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showSearchModal,
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handleCloseModal,
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loadQuotaData,
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loadUserQuotaData,
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loadUptimeData,
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getUserData,
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refresh,
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Vendored
+4
@@ -3066,6 +3066,10 @@
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"调用次数": "Call Count",
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"调用次数分布": "Models call distribution",
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"调用次数排行": "Models call ranking",
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"调用趋势": "Call trend",
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"模型排行": "Model ranking",
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"用户消耗排行": "User consumption ranking",
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"用户消耗趋势": "User consumption trend",
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"调试信息": "Debug information",
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"谨慎": "Cautious",
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"豆包": "Doubao",
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Vendored
+4
@@ -3039,6 +3039,10 @@
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"调用次数": "Nombre d'appels",
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"调用次数分布": "Distribution des appels de modèles",
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"调用次数排行": "Classement des appels de modèles",
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"调用趋势": "Tendance des appels",
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"模型排行": "Classement des modèles",
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"用户消耗排行": "Classement de consommation des utilisateurs",
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"用户消耗趋势": "Tendance de consommation des utilisateurs",
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"调试信息": "Informations de débogage",
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"谨慎": "Prudent",
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"豆包": "Doubao",
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Vendored
+4
@@ -3020,6 +3020,10 @@
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"调用次数": "呼び出し回数",
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"调用次数分布": "呼び出し回数分布",
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"调用次数排行": "呼び出し回数ランキング",
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"调用趋势": "呼び出し推移",
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"模型排行": "モデルランキング",
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"用户消耗排行": "ユーザー消費ランキング",
|
||||
"用户消耗趋势": "ユーザー消費推移",
|
||||
"调试信息": "デバッグ情報",
|
||||
"谨慎": "注意",
|
||||
"豆包": "豆包",
|
||||
|
||||
Vendored
+4
@@ -3053,6 +3053,10 @@
|
||||
"调用次数": "Количество вызовов",
|
||||
"调用次数分布": "Распределение количества вызовов",
|
||||
"调用次数排行": "Рейтинг количества вызовов",
|
||||
"调用趋势": "Тенденция вызовов",
|
||||
"模型排行": "Рейтинг моделей",
|
||||
"用户消耗排行": "Рейтинг потребления пользователей",
|
||||
"用户消耗趋势": "Тенденция потребления пользователей",
|
||||
"调试信息": "Отладочная информация",
|
||||
"谨慎": "Осторожно",
|
||||
"豆包": "Doubao",
|
||||
|
||||
Vendored
+4
@@ -3472,6 +3472,10 @@
|
||||
"调用次数": "Số lần gọi",
|
||||
"调用次数分布": "Phân phối số lần gọi",
|
||||
"调用次数排行": "Xếp hạng số lần gọi",
|
||||
"调用趋势": "Xu hướng cuộc gọi",
|
||||
"模型排行": "Xếp hạng mô hình",
|
||||
"用户消耗排行": "Xếp hạng tiêu thụ người dùng",
|
||||
"用户消耗趋势": "Xu hướng tiêu thụ người dùng",
|
||||
"调试信息": "Thông tin gỡ lỗi",
|
||||
"谨慎": "Thận trọng",
|
||||
"豆包": "Doubao",
|
||||
|
||||
Vendored
+4
@@ -2314,6 +2314,10 @@
|
||||
"调用次数": "调用次数",
|
||||
"调用次数分布": "调用次数分布",
|
||||
"调用次数排行": "调用次数排行",
|
||||
"调用趋势": "调用趋势",
|
||||
"模型排行": "模型排行",
|
||||
"用户消耗排行": "用户消耗排行",
|
||||
"用户消耗趋势": "用户消耗趋势",
|
||||
"调试信息": "调试信息",
|
||||
"谨慎": "谨慎",
|
||||
"警告": "警告",
|
||||
|
||||
Vendored
+4
@@ -2719,6 +2719,10 @@
|
||||
"调用次数": "調用次數",
|
||||
"调用次数分布": "調用次數分佈",
|
||||
"调用次数排行": "調用次數排行",
|
||||
"调用趋势": "調用趨勢",
|
||||
"模型排行": "模型排行",
|
||||
"用户消耗排行": "用戶消耗排行",
|
||||
"用户消耗趋势": "用戶消耗趨勢",
|
||||
"调试信息": "除錯訊息",
|
||||
"谨慎": "謹慎",
|
||||
"豆包": "豆包",
|
||||
|
||||
Reference in New Issue
Block a user