/*
 * @Author: your name
 * @Date: 2025-04-25 16:19:33
 * @LastEditTime: 2025-07-08 14:40:29
 * @LastEditors: bogon
 * @Description: In User Settings Edit
 * @FilePath: /downLoadServer/src/server/utils/chartsCom/TwoDMarkersChart.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";

export const generateTwoDMarkersChart = 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_scatter_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",
      // 根据系统改路径
      executablePath: `${process.env.CHROME_PATH}`, // 根据系统改路径

      args: ["--no-sandbox", "--disable-setuid-sandbox"],
    });

    try {
      const page = await browser.newPage();

      // 准备图表数据
      const chartDataset = data.data[0];
      const uniqueTimeLabels =
        chartDataset.colorbar &&
        chartDataset.colorbar.length === chartDataset.xData.length
          ? [...new Set(chartDataset.colorbar)]
          : [...new Set(chartDataset.yData)];

      const ticktext = uniqueTimeLabels.map((label) => label);
      const tickvals = uniqueTimeLabels.map((_, index) => index + 1);
      const timeMapping = uniqueTimeLabels.reduce((acc, curr, index) => {
        acc[curr] = index + 1;
        return acc;
      }, {});

      // 获取 colorbar 的最小值和最大值来计算比例值
      const minValue = Math.min(...new Set(uniqueTimeLabels));
      const maxValue = Math.max(...new Set(uniqueTimeLabels));
      const colorStops = [
        colorSchemes[0].colors[0],
        colorSchemes[0].colors[4],
        colorSchemes[0].colors[8],
        colorSchemes[0].colors[12],
      ];
      // 计算渐变比例
      const colors = colorStops.map((color, index) => {
        const proportion = index / (colorStops.length - 1); // 计算比例值 (0, 1/3, 2/3, 1)
        return [proportion, color]; // 创建比例-颜色映射
      });
      // 确保 colors 至少有 2 种颜色，否则使用默认颜色
      if (colors.length < 2) {
        colors.push([1, colorStops[colorStops.length - 1] || "#1B2973"]);
      }

      // 计算颜色值映射
      let colorValues =
        chartDataset.colorbar &&
        chartDataset.colorbar.length === chartDataset.xData.length
          ? chartDataset.colorbar.map((date) => timeMapping[date])
          : chartDataset.yData.map((date) => timeMapping[date]);

      // 绘制 2D 散点图
      const trace = {
        x: chartDataset.xData,
        y: chartDataset.yData,
        mode: "markers",
        type: "scattergl", // 使用 scattergl 提高性能
        text: chartDataset.engineName, // 提示文本
        marker: {
          color: colorValues,
          colorscale: [
            [0, "#F9FDD2"],
            [0.15, "#E9F6BD"],
            [0.3, "#C2E3B9"],
            [0.45, "#8AC8BE"],
            [0.6, "#5CA8BF"],
            [0.75, "#407DB3"],
            [0.9, "#2E4C9A"],
            [1, "#1B2973"],
          ],
          size: new Array(chartDataset.xData.length).fill(6), // 点的大小
        },
      };

      // 图表布局
      const layout = {
        title: {
          text: chartDataset.title,
          font: {
            size: 16,
            weight: "bold",
          },
        },
        xaxis: {
          title: {
            text: data.xaixs,
          },
          gridcolor: "rgb(255,255,255)",
          tickcolor: "rgb(255,255,255)",
          backgroundcolor: "#e5ecf6",
          showbackground: true,
        },
        yaxis: {
          title: {
            text: data.yaixs,
          },
          gridcolor: "rgb(255,255,255)",
          tickcolor: "rgb(255,255,255)",
          backgroundcolor: "#e5ecf6",
          showbackground: true,
        },
        // showlegend: true,
        plot_bgcolor: "#e5ecf6",
        gridcolor: "#fff",
      };

      // 准备 HTML 内容
      const htmlContent = `
        <!DOCTYPE html>
        <html>
        <head>
          <meta charset="UTF-8">
          <title>2D 散点图</title>
          <script>${plotlyContent}</script>
        </head>
        <body>
          <div id="chart" style="width: 100%; height: 600px"></div>
          <script>
            const traces = [${JSON.stringify(trace)}];
            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>
      `;

      // 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 150 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2D散点图失败:", error);
      throw error;
    } finally {
      await browser.close();
    }
  } catch (error) {
    console.error("生成2D散点图失败:", error);
    throw error;
  }
};