358 lines
15 KiB
C#
358 lines
15 KiB
C#
using Sunny.UI.Win32;
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using System;
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using System.Collections.Generic;
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using System.Data;
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using System.IO;
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using System.Linq;
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using System.Runtime.InteropServices;
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using System.Text;
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using System.Threading.Tasks;
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using System.Windows.Forms;
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using Excel = Microsoft.Office.Interop.Excel;
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using System.Windows.Forms.DataVisualization;
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using System.Windows.Forms.DataVisualization.Charting;
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using System.Drawing.Imaging;
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using System.Drawing;
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using DocumentFormat.OpenXml.EMMA;
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namespace SLC1_N
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{
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class Chart
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{
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// 生成泄漏量趋势图
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public static void Create_TrendChart(int CH, string filepath, int maxProducts = 10)
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{
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try
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{
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string datatime = DateTime.Now.ToString("yyyyMMdd");
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//string filepath = GetExcelFilePath(CH, datatime);
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if (!File.Exists(filepath))
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{
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mxlLog.Instance.Error($"Excel文件不存在，无法生成图表");
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return;
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}
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// 读取Excel数据
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var Exceldata = ReadExcelData(filepath, maxProducts);
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if (Exceldata.Rows.Count == 0)
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{
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mxlLog.Instance.Error($"没有足够的数据生成趋势图");
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return;
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}
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// 提取泄漏量数据
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List<double> leakValues_list = new List<double>();
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List<string> productLabels = new List<string>();
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List<string> code_list = new List<string>();
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List<string> results_list = new List<string>();
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for (int i = 0; i < Exceldata.Rows.Count; i++)
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{
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string leakStr = Exceldata.Rows[i]["微漏泄漏量"].ToString();
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Console.WriteLine($"Chart:{i}: {leakStr}");
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// 移除单位，只保留数值
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leakStr = leakStr.Replace("KPa", "")
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.Replace("Pa/s", "")
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.Replace("mbar/s", "")
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.Replace("Pa", "")
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.Replace("s", "").Trim();
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Console.WriteLine($"Chart2:{i}: {leakStr}");
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if (double.TryParse(leakStr, out double leakage))
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{
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leakValues_list.Add(leakage);
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productLabels.Add($"产品{i + 1}");
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code_list.Add(Exceldata.Rows[i]["条形码"].ToString());
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results_list.Add(Exceldata.Rows[i]["测试结果"].ToString());
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}
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}
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if (leakValues_list.Count == 0)
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{
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mxlLog.Instance.Error($"没有有效的泄漏量数据");
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return;
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}
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// 创建图表图像
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int width = 1000;
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int height = 600;
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using (Bitmap bitmap = new Bitmap(width, height))
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using (Graphics graphics = Graphics.FromImage(bitmap))
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{
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graphics.Clear(Color.White);
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graphics.SmoothingMode = System.Drawing.Drawing2D.SmoothingMode.AntiAlias; // 抗锯齿
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// 设置边距
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int margin = 50;
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int chartWidth = width - 2 * margin;
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int chartHeight = height - 2 * margin;
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// 计算Y轴数据范围（最大值加10%，最小值减10%，但不小于0）
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double maxValue = leakValues_list.Max() * 1.1;
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double minValue = Math.Max(0, leakValues_list.Min() * 0.9);
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// 绘制标题
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using (Font titleFont = new Font("Arial", 16, FontStyle.Bold))
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using (Brush titleBrush = new SolidBrush(Color.Black))
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{
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graphics.DrawString($"通道{CH} - 最近{maxProducts}个产品泄漏量趋势",
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titleFont, titleBrush,
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new PointF(width / 2 - 150, 10)); // 居中
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}
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// 绘制坐标轴（Y轴坐标是向下的，原点（50，550））
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using (Pen axisPen = new Pen(Color.Black, 2))
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{
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// X轴
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graphics.DrawLine(axisPen, margin, height - margin, width - margin, height - margin);
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// Y轴
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graphics.DrawLine(axisPen, margin, margin, margin, height - margin);
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}
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// 绘制Y轴刻度
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using (Font scaleFont = new Font("Arial", 8))
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using (Brush scaleBrush = new SolidBrush(Color.Black))
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{
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for (int i = 0; i <= 5; i++) // 在 Y 轴上绘制 5 个等分刻度。
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{
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double value = minValue + (maxValue - minValue) * i / 5;
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int y = height - margin - (int)(chartHeight * i / 5);
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graphics.DrawString(value.ToString("F2"), scaleFont, scaleBrush,
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margin - 45, y - 10); // 刻度标签坐标
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}
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}
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// 绘制数据点
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using (Pen dataPen = new Pen(Color.Blue, 2)) // 连线
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using (Brush pointBrush = new SolidBrush(Color.Red)) // 坐标点
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using (Font labelFont = new Font("Arial", 8))
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using (Brush labelBrush = new SolidBrush(Color.DarkBlue)) // 数据点数值标签
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{
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for (int i = 0; i < leakValues_list.Count; i++)
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{
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double leakvalue = leakValues_list[i];
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int x = margin + (int)(chartWidth * i / (leakValues_list.Count - 1));
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int y = height - margin - (int)(chartHeight * (leakvalue - minValue) / (maxValue - minValue));
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// 绘制数据点连接线
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if (i > 0)
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{
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double prevValue = leakValues_list[i - 1]; // 前一个数据值
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int prevX = margin + (int)(chartWidth * (i - 1) / (leakValues_list.Count - 1));
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int prevY = height - margin - (int)(chartHeight * (prevValue - minValue) / (maxValue - minValue));
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graphics.DrawLine(dataPen, prevX, prevY, x, y); // 连接前一个点和当前点
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}
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// 绘制数据点
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graphics.FillEllipse(pointBrush, x - 4, y - 4, 8, 8);
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// 绘制数值标签
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string label = leakvalue.ToString("F2");
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graphics.DrawString(label, labelFont, labelBrush, x - 15, y - 20);
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// 绘制X轴标签
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graphics.DrawString(productLabels[i], labelFont, labelBrush,
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x - 10, height - margin + 10);
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}
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}
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// 绘制图例
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using (Font legendFont = new Font("Arial", 10))
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using (Brush legendBrush = new SolidBrush(Color.Black))
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{
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graphics.DrawString("泄漏量趋势", legendFont, legendBrush, width - 150, margin);
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graphics.DrawLine(new Pen(Color.Blue, 2), width - 170, margin + 10, width - 140, margin + 10);
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graphics.FillEllipse(Brushes.Red, width - 145, margin + 6, 8, 8);
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}
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// 保存图表
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string chartDir = Path.Combine(Path.GetDirectoryName(filepath), "Charts");
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if (!Directory.Exists(chartDir))
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Directory.CreateDirectory(chartDir);
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string chartPath = Path.Combine(chartDir, $"CH{CH}_LeakageTrend_{datatime}.png");
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bitmap.Save(chartPath, ImageFormat.Png);
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//MessageBox.Show($"图表已保存至: {chartPath}");
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}
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}
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catch (Exception ex)
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{
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mxlLog.Instance.Error($"图表生成错误: {ex.Message}", ex);
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}
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}
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// 生成结果统计图
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public static void Create_PieChart(int CH, string filepath)
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{
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try
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{
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string datatime = DateTime.Now.ToString("yyyyMMdd");
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//string filepath = GetExcelFilePath(CH, datatime);
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if (!File.Exists(filepath))
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return;
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var data = ReadExcelData(filepath, 1000);
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int okCount = 0;
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int ngCount = 0;
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foreach (DataRow row in data.Rows)
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{
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string result = row["测试结果"].ToString();
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if (result.Equals("OK", StringComparison.OrdinalIgnoreCase))
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okCount++;
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else if (result.Equals("NG", StringComparison.OrdinalIgnoreCase))
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ngCount++;
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}
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int total = okCount + ngCount;
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if (total == 0)
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return;
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// 创建统计图
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int width = 600;
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int height = 400;
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using (Bitmap bitmap = new Bitmap(width, height))
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using (Graphics graphics = Graphics.FromImage(bitmap))
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{
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graphics.Clear(Color.White);
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graphics.SmoothingMode = System.Drawing.Drawing2D.SmoothingMode.AntiAlias;
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// 绘制标题
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using (Font titleFont = new Font("Arial", 16, FontStyle.Bold))
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{
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graphics.DrawString($"通道{CH} - 测试结果统计", titleFont, Brushes.Black, 150, 10);
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graphics.DrawString($"总计: {total} 个产品", titleFont, Brushes.Black, 200, 40);
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}
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// 绘制饼图
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int centerX = width / 2;
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int centerY = height / 2 + 20;
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int radius = 120;
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if (okCount > 0)
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{
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float okAngle = 360f * okCount / total;
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graphics.FillPie(Brushes.Green, centerX - radius, centerY - radius,
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radius * 2, radius * 2, 0, okAngle);
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}
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if (ngCount > 0)
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{
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float ngAngle = 360f * ngCount / total;
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graphics.FillPie(Brushes.Red, centerX - radius, centerY - radius,
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radius * 2, radius * 2, 360f * okCount / total, ngAngle);
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}
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// 绘制图例
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using (Font legendFont = new Font("Arial", 12))
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{
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graphics.FillRectangle(Brushes.Green, 100, height - 80, 20, 20);
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graphics.DrawString($"OK: {okCount} ({okCount * 100f / total:F1}%)",
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legendFont, Brushes.Black, 130, height - 80);
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graphics.FillRectangle(Brushes.Red, 300, height - 80, 20, 20);
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graphics.DrawString($"NG: {ngCount} ({ngCount * 100f / total:F1}%)",
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legendFont, Brushes.Black, 330, height - 80);
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}
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// 保存图表
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string chartDir = Path.Combine(Path.GetDirectoryName(filepath), "Charts");
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if (!Directory.Exists(chartDir))
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Directory.CreateDirectory(chartDir);
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string chartPath = Path.Combine(chartDir, $"CH{CH}_ResultStat_{datatime}.png");
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bitmap.Save(chartPath, ImageFormat.Png);
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}
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}
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catch (Exception ex)
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{
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mxlLog.Instance.Error($"生成统计图错误: {ex.Message}", ex);
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}
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}
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// 读取Excel数据
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private static DataTable ReadExcelData(string filePath, int maxRows = 10)
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{
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DataTable dt = new DataTable();
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Excel.Application xapp = null;
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Excel.Workbook xbook = null;
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try
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{
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xapp = new Excel.Application();
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xapp.Visible = false;
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xapp.DisplayAlerts = false;
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xbook = xapp.Workbooks.Open(filePath);
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Excel.Worksheet xsheet = (Excel.Worksheet)xbook.Sheets[1];
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// 获取最后一行
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int lastRow = xsheet.Cells.Find("*", System.Reflection.Missing.Value,
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System.Reflection.Missing.Value,
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System.Reflection.Missing.Value,
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Excel.XlSearchOrder.xlByRows,
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Excel.XlSearchDirection.xlPrevious,
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false, System.Reflection.Missing.Value,
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System.Reflection.Missing.Value).Row;
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// 读取表头创建列
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for (int col = 1; col <= 15; col++)
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{
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string header = (xsheet.Cells[1, col] as Excel.Range)?.Value2?.ToString() ?? $"Column{col}";
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dt.Columns.Add(header);
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}
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// 读取数据（从最后maxRows行开始）
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int startRow = Math.Max(2, lastRow - maxRows + 1);
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for (int row = startRow; row <= lastRow; row++)
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{
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DataRow dr = dt.NewRow();
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for (int col = 1; col <= 15; col++)
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{
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var cellValue = (xsheet.Cells[row, col] as Excel.Range)?.Value2;
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dr[col - 1] = cellValue?.ToString() ?? "";
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}
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dt.Rows.Add(dr);
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}
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}
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catch (Exception ex)
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{
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mxlLog.Instance.Error($"读取Excel数据错误", ex);
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}
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finally
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{
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if (xbook != null)
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{
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xbook.Close(false);
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System.Runtime.InteropServices.Marshal.ReleaseComObject(xbook);
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}
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if (xapp != null)
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{
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xapp.Quit();
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System.Runtime.InteropServices.Marshal.ReleaseComObject(xapp);
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}
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GC.Collect();
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GC.WaitForPendingFinalizers();
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}
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return dt;
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}
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// 获取Excel文件路径
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private static string GetExcelFilePath(int CH, string date)
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{
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string basePath = Environment.GetFolderPath(Environment.SpecialFolder.Desktop);
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string chPath = CH == 1 ? "CH1" : "CH2";
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return Path.Combine(basePath, chPath, $"{CH}_{date}.xls");
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}
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}
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}
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