Files
new-api/web/src/hooks/dashboard/useDashboardCharts.jsx
T

629 lines
15 KiB
React
Vendored
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
/*
Copyright (C) 2025 QuantumNous
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
For commercial licensing, please contact support@quantumnous.com
*/
import { useState, useCallback, useEffect } from 'react';
import { initVChartSemiTheme } from '@visactor/vchart-semi-theme';
import {
modelColorMap,
renderNumber,
renderQuota,
modelToColor,
getQuotaWithUnit,
} from '../../helpers';
import {
processRawData,
calculateTrendData,
aggregateDataByTimeAndModel,
generateChartTimePoints,
updateChartSpec,
updateMapValue,
initializeMaps,
processUserData,
} from '../../helpers/dashboard';
const USER_COLORS = [
'#3b82f6', '#ef4444', '#10b981', '#f59e0b', '#8b5cf6',
'#ec4899', '#06b6d4', '#f97316', '#6366f1', '#14b8a6',
];
export const useDashboardCharts = (
dataExportDefaultTime,
setTrendData,
setConsumeQuota,
setTimes,
setConsumeTokens,
setPieData,
setLineData,
setModelColors,
t,
) => {
// ========== 图表规格状态 ==========
const [spec_pie, setSpecPie] = useState({
type: 'pie',
data: [
{
id: 'id0',
values: [{ type: 'null', value: '0' }],
},
],
outerRadius: 0.8,
innerRadius: 0.5,
padAngle: 0.6,
valueField: 'value',
categoryField: 'type',
pie: {
style: {
cornerRadius: 10,
},
state: {
hover: {
outerRadius: 0.85,
stroke: '#000',
lineWidth: 1,
},
selected: {
outerRadius: 0.85,
stroke: '#000',
lineWidth: 1,
},
},
},
title: {
visible: true,
text: t('模型调用次数占比'),
subtext: `${t('总计')}${renderNumber(0)}`,
},
legends: {
visible: true,
orient: 'left',
},
label: {
visible: true,
},
tooltip: {
mark: {
content: [
{
key: (datum) => datum['type'],
value: (datum) => renderNumber(datum['value']),
},
],
},
},
color: {
specified: modelColorMap,
},
});
const [spec_line, setSpecLine] = useState({
type: 'bar',
data: [
{
id: 'barData',
values: [],
},
],
xField: 'Time',
yField: 'Usage',
seriesField: 'Model',
stack: true,
legends: {
visible: true,
selectMode: 'single',
},
title: {
visible: true,
text: t('模型消耗分布'),
subtext: `${t('总计')}${renderQuota(0, 2)}`,
},
bar: {
state: {
hover: {
stroke: '#000',
lineWidth: 1,
},
},
},
tooltip: {
mark: {
content: [
{
key: (datum) => datum['Model'],
value: (datum) => renderQuota(datum['rawQuota'] || 0, 4),
},
],
},
dimension: {
content: [
{
key: (datum) => datum['Model'],
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++) {
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: renderQuota(sum, 4),
});
return array;
},
},
},
color: {
specified: modelColorMap,
},
});
const [spec_model_line, setSpecModelLine] = useState({
type: 'line',
data: [
{
id: 'lineData',
values: [],
},
],
xField: 'Time',
yField: 'Count',
seriesField: 'Model',
legends: {
visible: true,
selectMode: 'single',
},
title: {
visible: true,
text: t('调用趋势'),
subtext: '',
},
tooltip: {
mark: {
content: [
{
key: (datum) => datum['Model'],
value: (datum) => renderNumber(datum['Count']),
},
],
},
dimension: {
content: [
{
key: (datum) => datum['Model'],
value: (datum) => datum['Count'] || 0,
},
],
updateContent: (array) => {
array.sort((a, b) => b.value - a.value);
let sum = 0;
for (let i = 0; i < array.length; i++) {
let value = parseFloat(array[i].value);
if (isNaN(value)) value = 0;
sum += value;
array[i].value = renderNumber(value);
}
array.unshift({
key: t('总计'),
value: renderNumber(sum),
});
return array;
},
},
},
color: {
specified: modelColorMap,
},
});
const [spec_rank_bar, setSpecRankBar] = useState({
type: 'bar',
data: [
{
id: 'rankData',
values: [],
},
],
xField: 'Model',
yField: 'Count',
seriesField: 'Model',
legends: {
visible: true,
selectMode: 'single',
},
title: {
visible: true,
text: t('模型调用次数排行'),
subtext: '',
},
bar: {
state: {
hover: {
stroke: '#000',
lineWidth: 1,
},
},
},
tooltip: {
mark: {
content: [
{
key: (datum) => datum['Model'],
value: (datum) => renderNumber(datum['Count']),
},
],
},
},
color: {
specified: modelColorMap,
},
});
// ========== Admin: 用户消耗排行 ==========
const [spec_user_rank, setSpecUserRank] = useState({
type: 'bar',
data: [{ id: 'userRankData', values: [] }],
xField: 'rawQuota',
yField: 'User',
seriesField: 'User',
direction: 'horizontal',
legends: { visible: false },
title: {
visible: true,
text: t('用户消耗排行'),
subtext: '',
},
bar: {
state: { hover: { stroke: '#000', lineWidth: 1 } },
},
label: {
visible: true,
position: 'outside',
formatMethod: (value, datum) => renderQuota(datum['rawQuota'] || 0, 2),
},
axes: [{
orient: 'left',
type: 'band',
label: { visible: true },
}, {
orient: 'bottom',
type: 'linear',
visible: false,
}],
tooltip: {
mark: {
content: [{
key: (datum) => datum['User'],
value: (datum) => renderQuota(datum['rawQuota'] || 0, 4),
}],
},
},
color: { type: 'ordinal', range: USER_COLORS },
});
// ========== Admin: 用户消耗趋势 ==========
const [spec_user_trend, setSpecUserTrend] = useState({
type: 'area',
data: [{ id: 'userTrendData', values: [] }],
xField: 'Time',
yField: 'rawQuota',
seriesField: 'User',
stack: false,
legends: { visible: true, selectMode: 'single' },
title: {
visible: true,
text: t('用户消耗趋势'),
subtext: '',
},
axes: [{
orient: 'left',
label: {
formatMethod: (value) => renderQuota(value, 2),
},
}],
area: { style: { fillOpacity: 0.15 } },
line: { style: { lineWidth: 2 } },
point: { visible: false },
tooltip: {
mark: {
content: [{
key: (datum) => datum['User'],
value: (datum) => renderQuota(datum['rawQuota'] || 0, 4),
}],
},
dimension: {
content: [{
key: (datum) => datum['User'],
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++) {
let value = parseFloat(array[i].value);
if (isNaN(value)) value = 0;
sum += value;
array[i].value = renderQuota(value, 4);
}
array.unshift({
key: t('总计'),
value: renderQuota(sum, 4),
});
return array;
},
},
},
color: { type: 'ordinal', range: USER_COLORS },
});
// ========== 数据处理函数 ==========
const generateModelColors = useCallback((uniqueModels, modelColors) => {
const newModelColors = {};
Array.from(uniqueModels).forEach((modelName) => {
newModelColors[modelName] =
modelColorMap[modelName] ||
modelColors[modelName] ||
modelToColor(modelName);
});
return newModelColors;
}, []);
const updateChartData = useCallback(
(data) => {
const processedData = processRawData(
data,
dataExportDefaultTime,
initializeMaps,
updateMapValue,
);
const {
totalQuota,
totalTimes,
totalTokens,
uniqueModels,
timePoints,
timeQuotaMap,
timeTokensMap,
timeCountMap,
} = processedData;
const trendDataResult = calculateTrendData(
timePoints,
timeQuotaMap,
timeTokensMap,
timeCountMap,
dataExportDefaultTime,
);
setTrendData(trendDataResult);
const newModelColors = generateModelColors(uniqueModels, {});
setModelColors(newModelColors);
const aggregatedData = aggregateDataByTimeAndModel(
data,
dataExportDefaultTime,
);
const modelTotals = new Map();
for (let [_, value] of aggregatedData) {
updateMapValue(modelTotals, value.model, value.count);
}
const newPieData = Array.from(modelTotals)
.map(([model, count]) => ({
type: model,
value: count,
}))
.sort((a, b) => b.value - a.value);
const chartTimePoints = generateChartTimePoints(
aggregatedData,
data,
dataExportDefaultTime,
);
let newLineData = [];
chartTimePoints.forEach((time) => {
let timeData = Array.from(uniqueModels).map((model) => {
const key = `${time}-${model}`;
const aggregated = aggregatedData.get(key);
return {
Time: time,
Model: model,
rawQuota: aggregated?.quota || 0,
Usage: aggregated?.quota
? getQuotaWithUnit(aggregated.quota, 4)
: 0,
};
});
const timeSum = timeData.reduce((sum, item) => sum + item.rawQuota, 0);
timeData.sort((a, b) => b.rawQuota - a.rawQuota);
timeData = timeData.map((item) => ({ ...item, TimeSum: timeSum }));
newLineData.push(...timeData);
});
newLineData.sort((a, b) => a.Time.localeCompare(b.Time));
updateChartSpec(
setSpecPie,
newPieData,
`${t('总计')}${renderNumber(totalTimes)}`,
newModelColors,
'id0',
);
updateChartSpec(
setSpecLine,
newLineData,
`${t('总计')}${renderQuota(totalQuota, 2)}`,
newModelColors,
'barData',
);
// ===== 模型调用次数折线图 =====
let modelLineData = [];
chartTimePoints.forEach((time) => {
const timeData = Array.from(uniqueModels).map((model) => {
const key = `${time}-${model}`;
const aggregated = aggregatedData.get(key);
return {
Time: time,
Model: model,
Count: aggregated?.count || 0,
};
});
modelLineData.push(...timeData);
});
modelLineData.sort((a, b) => a.Time.localeCompare(b.Time));
// ===== 模型调用次数排行柱状图 =====
const MAX_RANK_MODELS = 20;
const allRankData = Array.from(modelTotals)
.map(([model, count]) => ({
Model: model,
Count: count,
}))
.sort((a, b) => b.Count - a.Count);
let rankData;
if (allRankData.length > MAX_RANK_MODELS) {
const topModels = allRankData.slice(0, MAX_RANK_MODELS);
const otherCount = allRankData
.slice(MAX_RANK_MODELS)
.reduce((sum, item) => sum + item.Count, 0);
rankData = [...topModels, { Model: t('其他'), Count: otherCount }];
} else {
rankData = allRankData;
}
updateChartSpec(
setSpecModelLine,
modelLineData,
`${t('总计')}${renderNumber(totalTimes)}`,
newModelColors,
'lineData',
);
updateChartSpec(
setSpecRankBar,
rankData,
`${t('总计')}${renderNumber(totalTimes)}`,
newModelColors,
'rankData',
);
setPieData(newPieData);
setLineData(newLineData);
setConsumeQuota(totalQuota);
setTimes(totalTimes);
setConsumeTokens(totalTokens);
},
[
dataExportDefaultTime,
setTrendData,
generateModelColors,
setModelColors,
setPieData,
setLineData,
setConsumeQuota,
setTimes,
setConsumeTokens,
t,
],
);
// ========== 用户维度图表数据处理 ==========
const updateUserChartData = useCallback(
(data) => {
const { rankingData, trendData: userTrend } = processUserData(
data,
dataExportDefaultTime,
10,
);
const userRankValues = rankingData.map((item) => ({
User: item.User,
rawQuota: item.Quota,
Quota: getQuotaWithUnit(item.Quota, 4),
})).sort((a, b) => b.rawQuota - a.rawQuota);
const totalUserQuota = rankingData.reduce((s, i) => s + i.Quota, 0);
setSpecUserRank((prev) => ({
...prev,
data: [{ id: 'userRankData', values: userRankValues }],
title: {
...prev.title,
subtext: `${t('总计')}${renderQuota(totalUserQuota, 2)}`,
},
}));
const userTrendValues = userTrend.map((item) => ({
Time: item.Time,
User: item.User,
rawQuota: item.Quota,
Usage: item.Quota ? getQuotaWithUnit(item.Quota, 4) : 0,
}));
setSpecUserTrend((prev) => ({
...prev,
data: [{ id: 'userTrendData', values: userTrendValues }],
title: {
...prev.title,
subtext: `${t('总计')}${renderQuota(totalUserQuota, 2)}`,
},
}));
},
[dataExportDefaultTime, t],
);
// ========== 初始化图表主题 ==========
useEffect(() => {
initVChartSemiTheme({
isWatchingThemeSwitch: true,
});
}, []);
return {
spec_pie,
spec_line,
spec_model_line,
spec_rank_bar,
spec_user_rank,
spec_user_trend,
updateChartData,
updateUserChartData,
generateModelColors,
};
};