fix: validate number input in renderQuotaNumberWithDigit and improve data handling in Detail page

- Added input validation to ensure that the `num` parameter in `renderQuotaNumberWithDigit` is a valid number, returning 0 for invalid inputs.
- Updated the `Detail` component to use `datum['rawQuota']` instead of `datum['Usage']` for rendering quota values, ensuring more accurate data representation.
- Enhanced data aggregation logic to handle cases where quota values may be missing or invalid, improving overall data integrity in charts and tables.
- Removed unnecessary time granularity calculations and streamlined the data processing for better performance.
This commit is contained in:
CalciumIon
2024-12-25 23:16:35 +08:00
parent 4fc1fe318e
commit bfba4866a5
3 changed files with 87 additions and 61 deletions

View File

@@ -59,6 +59,9 @@ export function renderNumber(num) {
}
export function renderQuotaNumberWithDigit(num, digits = 2) {
if (typeof num !== 'number' || isNaN(num)) {
return 0;
}
let displayInCurrency = localStorage.getItem('display_in_currency');
num = num.toFixed(digits);
if (displayInCurrency) {

View File

@@ -180,6 +180,9 @@ export function timestamp2string1(timestamp, dataExportDefaultTime = 'hour') {
let month = (date.getMonth() + 1).toString();
let day = date.getDate().toString();
let hour = date.getHours().toString();
if (day === '24') {
console.log("timestamp", timestamp);
}
if (month.length === 1) {
month = '0' + month;
}

View File

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