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Téma musí začínat písmenem nebo číslem, může obsahovat pomlčky („-“) a může být dlouhé až 35 znaků.
113 řádky
4.3 KiB
113 řádky
4.3 KiB
using System;
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using System.Collections.Generic;
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using System.Reflection;
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using System.IO;
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using System.Text;
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using UnityEditor;
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using UnityEngine;
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using UnityEngine.UI;
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public class CSVOptionTool
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{
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//csv文件写入
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public static void WriteCsv(string[] strs, string path)
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{
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if (!File.Exists(path))
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{
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File.Create(path).Dispose();
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}
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using (StreamWriter stream = new StreamWriter(path, false, Encoding.UTF8))
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{
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for (int i = 0; i < strs.Length; i++)
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{
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if (strs[i] != null)
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stream.WriteLine(strs[i]);
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}
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}
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}
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/// <summary>
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/// 读取CSV文件
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/// 结果保存到字典集合，以ID作为Key值，对应每一行的数据，每一行的数据也用字典集合保存。
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/// </summary>
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/// <param name="filePath"></param>
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/// <returns></returns>
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public static Dictionary<string, Dictionary<string, string>> LoadCsvFile(string filePath)
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{
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Dictionary<string, Dictionary<string, string>> result = new Dictionary<string, Dictionary<string, string>>();
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string[] fileData = File.ReadAllLines(filePath);
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/* CSV文件的第一行为Key字段，第二行开始是数据。第一个字段一定是ID。 */
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string[] keys = fileData[0].Split(',');
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for (int i = 1; i < fileData.Length; i++)
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{
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string[] line = fileData[i].Split(',');
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/* 以ID为key值，创建一个新的集合，用于保存当前行的数据 */
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string ID = line[0];
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result[ID] = new Dictionary<string, string>();
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for (int j = 0; j < line.Length; j++)
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{
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/* 每一行的数据存储规则：Key字段-Value值 */
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result[ID][keys[j]] = line[j];
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}
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}
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return result;
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}
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/// <summary>
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/// 读取CSV文件数据（利用反射）
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/// </summary>
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/// <typeparam name="CsvData">CSV数据对象的类型</typeparam>
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/// <param name="csvFilePath">CSV文件路径</param>
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/// <param name="csvDatas">用于缓存数据的字典</param>
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/// <returns>CSV文件所有行内容的数据对象</returns>
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public static Dictionary<int, SaveWaitQueueCsvData> LoadCsvData<SaveWaitQueueCsvData>(string csvFilePath)
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{
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Dictionary<int, SaveWaitQueueCsvData> dic = new Dictionary<int, SaveWaitQueueCsvData>();
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/* 从CSV文件读取数据 */
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Dictionary<string, Dictionary<string, string>> result = LoadCsvFile(csvFilePath);
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/* 遍历每一行数据 */
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foreach (string ID in result.Keys)
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{
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/* CSV的一行数据 */
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Dictionary<string, string> datas = result[ID];
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/* 读取Csv数据对象的属性 */
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PropertyInfo[] props = typeof(SaveWaitQueueCsvData).GetProperties();
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/* 使用反射，将CSV文件的数据赋值给CSV数据对象的相应字段，要求CSV文件的字段名和CSV数据对象的字段名完全相同 */
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SaveWaitQueueCsvData obj = Activator.CreateInstance<SaveWaitQueueCsvData>();
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foreach (PropertyInfo pi in props)
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{
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pi.SetValue(obj, Convert.ChangeType(datas[pi.Name], pi.PropertyType), null);
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}
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/* 按ID-数据的形式存储 */
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dic[Convert.ToInt32(ID)] = obj;
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}
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return dic;
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}
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}
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/// <summary>
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/// 对待检测的特效列表临时保存
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/// </summary>
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public class SaveWaitQueueCsvData:CSVOptionTool
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{
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public int ID { get; set; }
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public string Name { get; set; }
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}
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/// <summary>
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/// 检测结果保存
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/// </summary>
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public class SaveResultCsvData:CSVOptionTool
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{
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public string Name { get; set; }//特效名
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public float PictureMemory { get; set; }//贴图所占用的内存
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public long PictureNum { get; set; }//贴图数量
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public long GrainCompNum { get; set; }//所有粒子系统组件数量
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public int DrawCallNum { get; set; }//DrawCall
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public long GrainNum { get; set; }//粒子数量
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public string ExtraDes { get; set; }//额外描述
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// public float PixelNum1 { get; set; }//特效原填充像素点
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// public float PixelNum2 { get; set; }//特效实际填充像素点
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// public float PixelOverdraw { get; set; }//平均每像素overdraw率
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}
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