/*
 * @Author: your name
 * @Date: 2025-04-14 17:49:33
 * @LastEditTime: 2025-05-21 15:11:06
 * @LastEditors: bogon
 * @Description: In User Settings Edit
 * @FilePath: /performance-test/downLoadServer/src/server/utils/chartsCom/Time3DChart.js
 */
import puppeteer from "puppeteer";
import fs from "fs-extra";
import path from "path";
import FormData from "form-data";
import { colorSchemes } from "../colors.js";
import axios from "axios";
// 格式化日期为 YY-MM 格式
const formatDate = (dateString) => {
  const date = new Date(dateString);
  const year = date.getFullYear(); // 获取年份后两位
  const month = ("0" + (date.getMonth() + 1)).slice(-2); // 获取月份并确保两位数
  return `${year}-${month}`;
};
export const generateTime3DChart = async (data, bucketName, objectName) => {
  try {
    // 创建临时目录
    const tempDir = path.join(process.cwd(), "images");
    await fs.ensureDir(tempDir);
    const tempFilePath = path.join(
      tempDir,
      `temp_heatmap_chart_${Date.now()}.jpeg`
    );

    // 获取 plotly.js 的绝对路径
    const plotlyPath = path.join(
      process.cwd(),
      "src",
      "public",
      "js",
      "plotly-3.0.1.min.js"
    );
    const plotlyContent = await fs.readFile(plotlyPath, "utf-8");
    // 创建浏览器实例
    const browser = await puppeteer.launch({
      headless: "new",
      args: [
        "--no-sandbox",
        "--disable-setuid-sandbox",
        "--window-size=1920,1080",
      ],
    });

    try {
      const page = await browser.newPage();
      // 准备图表数据
      const uniqueMonths = Array.from(
        new Set(data.data[0].yData.map((date) => formatDate(date)))
      );
      // 设置每个月份对应的颜色
      const monthColors = colorSchemes[0].colors;
      const traces = uniqueMonths.map((month, monthIndex) => {
        const monthData = data.data[0].yData
          .map((date, index) => (formatDate(date) === month ? index : -1))
          .filter((index) => index !== -1);

        return {
          x: monthData.map((index) => data.data[0].xData[index]), // 发电机转速
          y: monthData.map((index) => data.data[0].yData[index]), // 时间
          z: monthData.map((index) => data.data[0].zData[index]), // 有功功率
          mode: "markers", // 根据需要设置模式
          type: "scatter3d",
          marker: {
            size: 1, // 使用动态点大小
            color: monthColors[monthIndex], // 使用配色方案
            colorscale: "YlGnBu",
          },
          name: ` ${month}`,
        };
      });
      // 准备布局配置
      const layout = {
        title: {
          text: data.data[0].title,
          font: {
            size: 16,
            weight: "bold",
          },
        },
        scene: {
          xaxis: {
            gridcolor: "#fff",
            backgroundcolor: "#e0e7f1",
            showbackground: true,
            linecolor: "black",
            ticks: "outside",
            ticklen: 10,
            tickcolor: "black",
            zeroline: false,
            tickangle: -10,
            title: {
              text: data.xaixs,
              standoff: 100,
            },
          },
          yaxis: {
            type: "category", // 让 Y 轴按类别均匀分布
            categoryorder: "category ascending", // 按类别字母顺序排列
            type: "date",
            tickformat: "%Y-%m",
            dtick: "M3",
            gridcolor: "#fff",
            tickcolor: "#e5ecf6",
            backgroundcolor: "#e0e7f1",
            showbackground: true,
            linecolor: "black",
            ticks: "outside",
            tickcolor: "black",
            zeroline: false,
            tickangle: 25,
            title: {
              text: data.yaixs,
            },
          },
          zaxis: {
            gridcolor: "#fff",
            tickcolor: "#fff",
            backgroundcolor: "#e0e7f1",
            showbackground: true,
            linecolor: "black",
            ticks: "outside",
            tickcolor: "black",
            zeroline: false,
            tickangle: -90,
            title: {
              text: data.zaixs,
            },
          },
          plot_bgcolor: "#e5ecf6",
          gridcolor: "#fff",
          bgcolor: "#e5ecf6", // 设置背景颜色
          aspectmode: "manual",
          aspectratio: {
            x: 2.0000000000000018,
            y: 1.5454545454545465,
            z: 0.9090909090909098,
          },
          camera: {
            up: {
              x: 0.19380723218588866,
              y: 0.2540224158731985,
              z: 0.9475818534492884,
            },
            center: {
              x: -0.052807476121180814,
              y: 0.02451796399554085,
              z: -0.022911006648570736,
            },
            eye: {
              x: -2.126389777109588,
              y: -2.5514260394238466,
              z: 1.091739681861482,
            },
            projection: {
              type: "orthographic",
            },
          },
        },
        margin: { t: 50, b: 50, l: 50, r: 50 },
        staticPlot: false,
        showlegend: true,
        legend: {
          marker: {
            size: 10, // 图例中点的大小
          },
        },
      };

      // 准备 HTML 内容
      const htmlContent = `
        <!DOCTYPE html>
        <html>
        <head>
          <meta charset="UTF-8">
          <title>3D图</title>
          <script>${plotlyContent}</script>
        </head>
        <body>
          <div id="chart" style="width: 100%; height: 500px"></div>
          <script>
            const traces = ${JSON.stringify(traces)};
            const layout = ${JSON.stringify(layout)};
            Plotly.newPlot('chart', traces, layout, { responsive: true }).then(() => {
              window.chartRendered = true; // 确保在图表渲染完成后设置
              console.log("图表渲染完成");
            }).catch((error) => {
              console.error("图表渲染错误:", error); // 捕获渲染错误
            });
          </script>
        </body>
        </html>
        `;
      // ... existing code ...
      // 设置页面内容
      await page.setContent(htmlContent, {
        waitUntil: "networkidle0",
      });

      // 等待图表渲染完成，延长超时时间
      await page.waitForFunction(() => window.chartRendered === true, {
        timeout: 150000, // 延长到 120 秒
      });

      // 截图并保存到临时文件
      const chartElement = await page.$("#chart");
      await chartElement.screenshot({
        path: tempFilePath,
        type: "jpeg",
      });

      // 上传图片到服务器
      const formData = new FormData();
      formData.append("file", fs.createReadStream(tempFilePath));
      // return formData;
      // 发送上传请求
      const response = await axios.post(
        `${process.env.API_BASE_URL}/examples/upload`,
        { filePath: tempFilePath, bucketName, objectName }
      );
      return response?.data?.url;
    } catch (error) {
      console.error("生成3D图失败:", error);
      throw error;
    } finally {
      await browser.close();
    }
  } catch (error) {
    console.error("生成3D图失败:", error);
    throw error;
  }
};