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@@ -143,8 +143,7 @@ const Detail = (props) => {
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content: [
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{
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key: (datum) => datum['Model'],
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value: (datum) =>
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renderQuotaNumberWithDigit(parseFloat(datum['Usage']), 4),
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value: (datum) => renderQuotaNumberWithDigit(datum['rawQuota'] || 0, 4),
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},
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],
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},
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@@ -152,22 +151,28 @@ const Detail = (props) => {
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content: [
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{
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key: (datum) => datum['Model'],
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value: (datum) => datum['Usage'],
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value: (datum) => datum['rawQuota'] || 0,
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},
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],
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updateContent: (array) => {
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array.sort((a, b) => b.value - a.value);
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let sum = 0;
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for (let i = 0; i < array.length; i++) {
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sum += parseFloat(array[i].value);
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array[i].value = renderQuotaNumberWithDigit(
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parseFloat(array[i].value),
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4,
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);
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if (array[i].key == "其他") {
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continue;
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}
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let value = parseFloat(array[i].value);
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if (isNaN(value)) {
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value = 0;
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}
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if (array[i].datum && array[i].datum.TimeSum) {
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sum = array[i].datum.TimeSum;
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}
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array[i].value = renderQuota(value, 4);
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}
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array.unshift({
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key: t('总计'),
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value: renderQuotaNumberWithDigit(sum, 4),
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value: renderQuota(sum, 4),
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});
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return array;
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},
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@@ -212,19 +217,8 @@ const Detail = (props) => {
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created_at: now.getTime() / 1000,
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});
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}
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// 根据dataExportDefaultTime重制时间粒度
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let timeGranularity = 3600;
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if (dataExportDefaultTime === 'day') {
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timeGranularity = 86400;
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} else if (dataExportDefaultTime === 'week') {
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timeGranularity = 604800;
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}
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// sort created_at
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data.sort((a, b) => a.created_at - b.created_at);
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data.forEach((item) => {
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item['created_at'] =
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Math.floor(item['created_at'] / timeGranularity) * timeGranularity;
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});
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updateChartData(data);
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} else {
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showError(message);
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@@ -250,14 +244,14 @@ const Detail = (props) => {
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let uniqueModels = new Set();
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let totalTokens = 0;
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// 收集所有唯一的模型名称和时间点
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let uniqueTimes = new Set();
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// 收集所有唯一的模型名称
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data.forEach(item => {
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uniqueModels.add(item.model_name);
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uniqueTimes.add(timestamp2string1(item.created_at, dataExportDefaultTime));
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totalTokens += item.token_used;
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totalQuota += item.quota;
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totalTimes += item.count;
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});
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// 处理颜色映射
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const newModelColors = {};
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Array.from(uniqueModels).forEach((modelName) => {
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@@ -267,56 +261,82 @@ const Detail = (props) => {
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});
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setModelColors(newModelColors);
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// 处理饼图数据
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for (let item of data) {
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totalQuota += item.quota;
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totalTimes += item.count;
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let pieItem = newPieData.find((it) => it.type === item.model_name);
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if (pieItem) {
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pieItem.value += item.count;
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} else {
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newPieData.push({
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type: item.model_name,
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value: item.count,
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// 按时间和模型聚合数据
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let aggregatedData = new Map();
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data.forEach(item => {
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const timeKey = timestamp2string1(item.created_at, dataExportDefaultTime);
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const modelKey = item.model_name;
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const key = `${timeKey}-${modelKey}`;
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if (!aggregatedData.has(key)) {
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aggregatedData.set(key, {
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time: timeKey,
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model: modelKey,
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quota: 0,
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count: 0
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});
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}
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const existing = aggregatedData.get(key);
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existing.quota += item.quota;
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existing.count += item.count;
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});
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// 处理饼图数据
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let modelTotals = new Map();
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for (let [_, value] of aggregatedData) {
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if (!modelTotals.has(value.model)) {
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modelTotals.set(value.model, 0);
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}
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modelTotals.set(value.model, modelTotals.get(value.model) + value.count);
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}
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// 处理柱状图数据
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let timePoints = Array.from(uniqueTimes);
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newPieData = Array.from(modelTotals).map(([model, count]) => ({
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type: model,
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value: count
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}));
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// 生成时间点序列
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let timePoints = Array.from(new Set([...aggregatedData.values()].map(d => d.time)));
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if (timePoints.length < 7) {
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// 根据时间粒度生成合适的时间点
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const generateTimePoints = () => {
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let lastTime = Math.max(...data.map(item => item.created_at));
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let points = [];
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let interval = dataExportDefaultTime === 'hour' ? 3600
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const lastTime = Math.max(...data.map(item => item.created_at));
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const interval = dataExportDefaultTime === 'hour' ? 3600
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: dataExportDefaultTime === 'day' ? 86400
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: 604800;
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for (let i = 0; i < 7; i++) {
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points.push(timestamp2string1(lastTime - (i * interval), dataExportDefaultTime));
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}
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return points.reverse();
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};
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timePoints = generateTimePoints();
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timePoints = Array.from({length: 7}, (_, i) =>
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timestamp2string1(lastTime - (6-i) * interval, dataExportDefaultTime)
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);
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}
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// 为每个时间点和模型生成数据
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// 生成柱状图数据
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timePoints.forEach(time => {
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Array.from(uniqueModels).forEach(model => {
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let existingData = data.find(item =>
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timestamp2string1(item.created_at, dataExportDefaultTime) === time &&
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item.model_name === model
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);
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newLineData.push({
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// 为每个时间点收集所有模型的数据
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let timeData = Array.from(uniqueModels).map(model => {
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const key = `${time}-${model}`;
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const aggregated = aggregatedData.get(key);
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return {
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Time: time,
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Model: model,
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Usage: existingData ? parseFloat(getQuotaWithUnit(existingData.quota)) : 0
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});
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rawQuota: aggregated?.quota || 0,
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Usage: aggregated?.quota ? getQuotaWithUnit(aggregated.quota, 4) : 0
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};
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});
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// 计算该时间点的总计
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const timeSum = timeData.reduce((sum, item) => sum + item.rawQuota, 0);
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// 按照 rawQuota 从大到小排序
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timeData.sort((a, b) => b.rawQuota - a.rawQuota);
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// 为每个数据点添加该时间的总计
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timeData = timeData.map(item => ({
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...item,
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TimeSum: timeSum
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}));
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// 将排序后的数据添加到 newLineData
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newLineData.push(...timeData);
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});
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// 排序
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