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https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web.git
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替换使用echarts显示图表
This commit is contained in:
sijinhui
parent
d5e05adbe4
commit
1227fb1882
@ -1,6 +1,6 @@
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// "use client";
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import { Grid, Col, Card, Text, AreaChart, Metric } from "@tremor/react";
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import UsageAnalysis from "./usage-analysis";
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// import UsageAnalysis from "./usage-analysis";
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import UsageByModel from "./usage-by-model";
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export default function AdminPage() {
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@ -8,7 +8,8 @@ export default function AdminPage() {
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<>
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<Grid numItems={1} numItemsSm={2} numItemsLg={3} className="gap-2">
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<Col numColSpan={1} numColSpanLg={1}>
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<UsageAnalysis />
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{/*<UsageAnalysis />*/}
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{/*<Card></Card>*/}
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</Col>
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<Col numColSpan={1} numColSpanLg={2}>
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<UsageByModel />
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@ -54,105 +54,7 @@ export default async function UsageAnalysis() {
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// @ts-ignore
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const log_data = HandleLogData(todayLog);
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// console.log("======", log_data);
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// const data = [
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// {
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// name: "Twitter",
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// value: 456,
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// href: "https://twitter.com/tremorlabs",
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// icon: function TwitterIcon() {
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// return (
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// <svg
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// xmlns="http://www.w3.org/2000/svg"
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// className="mr-2.5 fill-blue-500"
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// viewBox="0 0 24 24"
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// width="20"
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// height="20"
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// >
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// <path fill="none" d="M0 0h24v24H0z" />
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// <path d="M22.162 5.656a8.384 8.384 0 0 1-2.402.658A4.196 4.196 0 0 0 21.6 4c-.82.488-1.719.83-2.656 1.015a4.182 4.182 0 0 0-7.126 3.814 11.874 11.874 0 0 1-8.62-4.37 4.168 4.168 0 0 0-.566 2.103c0 1.45.738 2.731 1.86 3.481a4.168 4.168 0 0 1-1.894-.523v.052a4.185 4.185 0 0 0 3.355 4.101 4.21 4.21 0 0 1-1.89.072A4.185 4.185 0 0 0 7.97 16.65a8.394 8.394 0 0 1-6.191 1.732 11.83 11.83 0 0 0 6.41 1.88c7.693 0 11.9-6.373 11.9-11.9 0-.18-.005-.362-.013-.54a8.496 8.496 0 0 0 2.087-2.165z" />
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// </svg>
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// );
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// },
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// },
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// {
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// name: "Google",
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// value: 351,
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// href: "https://google.com",
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// icon: function GoogleIcon() {
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// return (
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// <svg
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// xmlns="http://www.w3.org/2000/svg"
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// className="mr-2.5 fill-slate-500"
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// viewBox="0 0 24 24"
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// width="20"
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// height="20"
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// >
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// <path fill="none" d="M0 0h24v24H0z" />
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// <path d="M3.064 7.51A9.996 9.996 0 0 1 12 2c2.695 0 4.959.99 6.69 2.605l-2.867 2.868C14.786 6.482 13.468 5.977 12 5.977c-2.605 0-4.81 1.76-5.595 4.123-.2.6-.314 1.24-.314 1.9 0 .66.114 1.3.314 1.9.786 2.364 2.99 4.123 5.595 4.123 1.345 0 2.49-.355 3.386-.955a4.6 4.6 0 0 0 1.996-3.018H12v-3.868h9.418c.118.654.182 1.336.182 2.045 0 3.046-1.09 5.61-2.982 7.35C16.964 21.105 14.7 22 12 22A9.996 9.996 0 0 1 2 12c0-1.614.386-3.14 1.064-4.49z" />
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// </svg>
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// );
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// },
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// },
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// {
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// name: "GitHub",
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// value: 271,
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// href: "https://github.com/tremorlabs/tremor",
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// icon: function GitHubIcon() {
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// return (
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// <svg
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// xmlns="http://www.w3.org/2000/svg"
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// className="mr-2.5 fill-slate-900"
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// viewBox="0 0 24 24"
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// width="20"
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// height="20"
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// >
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// <path fill="none" d="M0 0h24v24H0z" />
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// <path d="M12 2C6.475 2 2 6.475 2 12a9.994 9.994 0 0 0 6.838 9.488c.5.087.687-.213.687-.476 0-.237-.013-1.024-.013-1.862-2.512.463-3.162-.612-3.362-1.175-.113-.288-.6-1.175-1.025-1.413-.35-.187-.85-.65-.013-.662.788-.013 1.35.725 1.538 1.025.9 1.512 2.338 1.087 2.912.825.088-.65.35-1.087.638-1.337-2.225-.25-4.55-1.113-4.55-4.938 0-1.088.387-1.987 1.025-2.688-.1-.25-.45-1.275.1-2.65 0 0 .837-.262 2.75 1.026a9.28 9.28 0 0 1 2.5-.338c.85 0 1.7.112 2.5.337 1.912-1.3 2.75-1.024 2.75-1.024.55 1.375.2 2.4.1 2.65.637.7 1.025 1.587 1.025 2.687 0 3.838-2.337 4.688-4.562 4.938.362.312.675.912.675 1.85 0 1.337-.013 2.412-.013 2.75 0 .262.188.574.688.474A10.016 10.016 0 0 0 22 12c0-5.525-4.475-10-10-10z" />
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// </svg>
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// );
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// },
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// },
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// {
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// name: "Reddit",
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// value: 191,
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// href: "https://reddit.com",
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// icon: function RedditIcon() {
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// return (
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// <svg
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// xmlns="http://www.w3.org/2000/svg"
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// className="mr-2.5 fill-orange-500"
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// viewBox="0 0 24 24"
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// width="20"
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// height="20"
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// >
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// <path fill="none" d="M0 0h24v24H0z" />
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// <path d="M12 22C6.477 22 2 17.523 2 12S6.477 2 12 2s10 4.477 10 10-4.477 10-10 10zm6.67-10a1.46 1.46 0 0 0-2.47-1 7.12 7.12 0 0 0-3.85-1.23L13 6.65l2.14.45a1 1 0 1 0 .13-.61L12.82 6a.31.31 0 0 0-.37.24l-.74 3.47a7.14 7.14 0 0 0-3.9 1.23 1.46 1.46 0 1 0-1.61 2.39 2.87 2.87 0 0 0 0 .44c0 2.24 2.61 4.06 5.83 4.06s5.83-1.82 5.83-4.06a2.87 2.87 0 0 0 0-.44 1.46 1.46 0 0 0 .81-1.33zm-10 1a1 1 0 1 1 2 0 1 1 0 0 1-2 0zm5.81 2.75a3.84 3.84 0 0 1-2.47.77 3.84 3.84 0 0 1-2.47-.77.27.27 0 0 1 .38-.38A3.27 3.27 0 0 0 12 16a3.28 3.28 0 0 0 2.09-.61.28.28 0 1 1 .39.4v-.04zm-.18-1.71a1 1 0 1 1 1-1 1 1 0 0 1-1.01 1.04l.01-.04z" />
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// </svg>
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// );
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// },
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// },
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// {
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// name: "Youtube",
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// value: 91,
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// href: "https://www.youtube.com/@tremorlabs3079",
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// icon: function YouTubeIcon() {
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// return (
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// <svg
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// xmlns="http://www.w3.org/2000/svg"
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// className="mr-2.5 fill-red-500"
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// viewBox="0 0 24 24"
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// width="20"
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// height="20"
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// >
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// <path fill="none" d="M0 0h24v24H0z" />
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// <path d="M21.543 6.498C22 8.28 22 12 22 12s0 3.72-.457 5.502c-.254.985-.997 1.76-1.938 2.022C17.896 20 12 20 12 20s-5.893 0-7.605-.476c-.945-.266-1.687-1.04-1.938-2.022C2 15.72 2 12 2 12s0-3.72.457-5.502c.254-.985.997-1.76 1.938-2.022C6.107 4 12 4 12 4s5.896 0 7.605.476c.945.266 1.687 1.04 1.938 2.022zM10 15.5l6-3.5-6-3.5v7z" />
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// </svg>
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// );
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// },
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// },
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// ];
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// @ts-ignore
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return (
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<Card className="max-w-lg">
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@ -7,17 +7,11 @@ export default function UsageByModelChart({
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}: {
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option: echarts.EChartsOption;
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}) {
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// const EchartsComponent: React.FC = ({ data: any }) => {
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// const [option, setOption] = useState({});
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console.log("======", option);
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useEffect(() => {
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var chartDom = document.getElementById("usage-by-model-chart");
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// if (chartDom) echarts.dispose(chartDom);
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var myChart = echarts.init(chartDom);
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// console.log('=======[option]', option)
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option && myChart.setOption(option);
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}, []); // 空数组作为第二个参数，表示仅在组件挂载和卸载时执行
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}, [option]); // 空数组作为第二个参数，表示仅在组件挂载和卸载时执行
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return (
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<div
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@ -26,5 +20,3 @@ export default function UsageByModelChart({
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></div>
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);
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}
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// export default EchartsComponent;
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@ -1,45 +1,202 @@
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import * as echarts from "echarts";
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import { EChartsOption } from "echarts";
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import dynamic from "next/dynamic";
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import prisma from "@/lib/prisma";
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import { estimateTokenLength } from "@/app/utils/token";
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const UsageByModelChart = dynamic(() => import("./usage-by-model-chart"), {
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ssr: false,
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});
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export default function UsageByModel() {
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function HandleLogData(todayLog: [{ userName: string; logEntry: string }]) {
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const data1 = todayLog.map((log) => {
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return {
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name: log.userName ?? "unknown",
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value: estimateTokenLength(log.logEntry ?? ""),
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};
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});
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type Accumulator = {
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[key: string]: number;
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};
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const data2 = data1.reduce<Accumulator>((acc, item) => {
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if (acc[item.name]) {
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acc[item.name] += item.value;
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} else {
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acc[item.name] = item.value;
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}
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return acc;
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}, {});
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const data3 = Object.entries(data2)
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.map(([name, value]) => ({
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name,
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value,
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}))
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.sort((a, b) => {
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return a.value - b.value;
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});
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const data4 = data3.reduce(
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(acc, cur) => {
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// @ts-ignore
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acc.name.push(cur.name);
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// @ts-ignore
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acc.value.push(cur.value);
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return acc;
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},
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{ name: [], value: [] },
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);
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return data4;
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}
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export default async function UsageByModel() {
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// 今天日期的开始和结束
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const startDate = new Date();
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startDate.setHours(0, 0, 0, 0);
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const endDate = new Date();
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endDate.setHours(23, 59, 59, 999);
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const todayLog = await prisma.logEntry.findMany({
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where: {
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createdAt: {
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gte: startDate, // gte 表示 '大于等于'
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lte: endDate, // lte 表示 '小于等于'
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},
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},
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include: {
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user: true,
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},
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});
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// @ts-ignore
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const log_data = HandleLogData(todayLog);
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// console.log('[log_data]====---==', log_data)
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const usageByModelOption: EChartsOption = {
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title: {
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text: "Referer of a Website",
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subtext: "Fake Data",
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left: "center",
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},
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tooltip: {
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trigger: "item",
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trigger: "axis",
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axisPointer: {
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type: "shadow",
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},
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legend: {
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orient: "vertical",
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left: "left",
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},
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title: {
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show: true,
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text: "token使用分析",
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},
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legend: {},
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grid: {
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left: "3%",
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right: "4%",
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bottom: "3%",
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containLabel: true,
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},
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xAxis: [
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{
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type: "value",
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},
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],
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yAxis: [
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{
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type: "category",
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data: log_data.name,
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},
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],
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series: [
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{
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name: "Access From",
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type: "pie",
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radius: "50%",
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data: [
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{ value: 1048, name: "Search Engine" },
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{ value: 735, name: "Direct" },
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{ value: 580, name: "Email" },
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{ value: 484, name: "Union Ads" },
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{ value: 300, name: "Video Ads" },
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],
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name: "总量",
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type: "bar",
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emphasis: {
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itemStyle: {
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shadowBlur: 10,
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shadowOffsetX: 0,
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shadowColor: "rgba(0, 0, 0, 0.5)",
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focus: "series",
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},
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label: {
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show: true,
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position: "right",
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},
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colorBy: "data",
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// progress: {
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// show: true
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// },
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data: log_data.value,
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},
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// {
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// name: 'Email',
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// type: 'bar',
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// stack: 'Ad',
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// emphasis: {
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// focus: 'series'
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// },
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// data: [120, 132, 101, 134, 90, 230, 210]
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// },
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// {
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// name: 'Union Ads',
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// type: 'bar',
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// stack: 'Ad',
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// emphasis: {
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// focus: 'series'
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// },
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// data: [220, 182, 191, 234, 290, 330, 310]
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// },
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// {
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// name: 'Video Ads',
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// type: 'bar',
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// stack: 'Ad',
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// emphasis: {
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// focus: 'series'
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// },
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// data: [150, 232, 201, 154, 190, 330, 410]
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// },
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// {
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// name: 'Search Engine',
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// type: 'bar',
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// data: [862, 1018, 964, 1026, 1679, 1600, 1570],
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// emphasis: {
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// focus: 'series'
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// },
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// // markLine: {
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// // lineStyle: {
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// // type: 'dashed'
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// // },
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// // data: [[{ type: 'min' }, { type: 'max' }]]
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// // }
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// },
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// {
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// name: 'Baidu',
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// type: 'bar',
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// barWidth: 5,
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// stack: 'Search Engine',
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// emphasis: {
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// focus: 'series'
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// },
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// data: [620, 732, 701, 734, 1090, 1130, 1120]
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// },
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// {
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// name: 'Google',
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// type: 'bar',
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// stack: 'Search Engine',
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// emphasis: {
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// focus: 'series'
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// },
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// data: [120, 132, 101, 134, 290, 230, 220]
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// },
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// {
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// name: 'Bing',
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// type: 'bar',
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// stack: 'Search Engine',
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// emphasis: {
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// focus: 'series'
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// },
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// data: [60, 72, 71, 74, 190, 130, 110]
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// },
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// {
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// name: 'Others',
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// type: 'bar',
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// stack: 'Search Engine',
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// emphasis: {
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// focus: 'series'
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// },
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// data: [62, 82, 91, 84, 109, 110, 120]
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// }
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],
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};
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return (
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