feat(处理器): 增强变量处理链并实现批量更新
- 新增 UpdateDbVariableProcessor 处理器,通过队列和定时器实现数据库的批量更新,以降低负载。 - 重构 ValueConvertProcessor 处理器,使其能够解析 ConversionFormula 公式,计算出最终的 DisplayValue。 - 扩展 IVariableRepository 仓储接口,添加 UpdateBatchAsync 方法,并使用SqlSugar实现高效的批量更新。 - 优化 VariableContext 模型,将 NewValue 类型统一为 string,简化了数据流并提升了类型安全。
This commit is contained in:
@@ -7,10 +7,10 @@ namespace DMS.Application.Models
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{
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public VariableDto Data { get; set; }
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public object NewValue { get; set; }
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public string NewValue { get; set; }
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public bool IsHandled { get; set; }
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public VariableContext(VariableDto data, object newValue=null)
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public VariableContext(VariableDto data, string newValue="")
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{
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Data = data;
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IsHandled = false; // 默认未处理
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@@ -7,9 +7,7 @@ namespace DMS.Application.Services.Processors;
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public class CheckValueChangedProcessor : IVariableProcessor
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{
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public CheckValueChangedProcessor()
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{
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}
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public Task ProcessAsync(VariableContext context)
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{
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// Variable newVariable = context.Data;
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@@ -1,29 +1,103 @@
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using System.Threading.Tasks;
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using System.Collections.Concurrent;
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using AutoMapper;
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using DMS.Application.DTOs;
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using DMS.Application.Interfaces;
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using DMS.Application.Models;
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using DMS.Core.Interfaces;
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using DMS.Core.Models;
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using Microsoft.Extensions.Logging;
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namespace DMS.Application.Services.Processors;
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public class UpdateDbVariableProcessor : IVariableProcessor
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/// <summary>
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/// 负责将变量的当前值批量更新到数据库。
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/// </summary>
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public class UpdateDbVariableProcessor : IVariableProcessor, IDisposable
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{
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private readonly ILogger<UpdateDbVariableProcessor> _logger;
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private const int BATCH_SIZE = 50; // 批量更新的阈值
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private const int TIMER_INTERVAL_MS = 30 * 1000; // 30秒
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public UpdateDbVariableProcessor(ILogger<UpdateDbVariableProcessor> logger)
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private readonly ConcurrentQueue<VariableDto> _queue = new();
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private readonly Timer _timer;
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private readonly IRepositoryManager _repositoryManager;
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private readonly ILogger<UpdateDbVariableProcessor> _logger;
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private readonly IMapper _mapper;
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public UpdateDbVariableProcessor(IRepositoryManager repositoryManager, ILogger<UpdateDbVariableProcessor> logger, IMapper mapper)
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{
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_repositoryManager = repositoryManager;
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_logger = logger;
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_mapper = mapper;
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_timer = new Timer(async _ => await FlushQueueToDatabase(), null, Timeout.Infinite, Timeout.Infinite);
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_timer.Change(TIMER_INTERVAL_MS, TIMER_INTERVAL_MS); // 启动定时器
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_logger.LogInformation("UpdateDbVariableProcessor 初始化,批量大小 {BatchSize},定时器间隔 {TimerInterval}ms", BATCH_SIZE, TIMER_INTERVAL_MS);
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}
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public async Task ProcessAsync(VariableContext context)
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{
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// 检查新值是否有效,以及是否与旧值不同
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if (context.NewValue == null || Equals(context.Data.DataValue, context.NewValue?.ToString()))
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{
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return; // 值未变或新值无效,跳过
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}
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// 用新值更新上下文中的数据,确保处理链的后续环节能看到最新值
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context.Data.DataValue = context.NewValue?.ToString();
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_queue.Enqueue(context.Data);
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if (_queue.Count >= BATCH_SIZE)
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{
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_logger.LogInformation("达到批量大小 ({BatchSize}),正在刷新队列到数据库", BATCH_SIZE);
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await FlushQueueToDatabase();
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}
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}
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private async Task FlushQueueToDatabase()
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{
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// 停止定时器,防止在写入过程中再次触发
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_timer.Change(Timeout.Infinite, Timeout.Infinite);
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var itemsToProcess = new List<VariableDto>();
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while (_queue.TryDequeue(out var item))
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{
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itemsToProcess.Add(item);
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}
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if (itemsToProcess.Any())
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{
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// 去重:对于同一个变量,我们只关心其在本次批次中的最后一次更新值
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var uniqueItems = itemsToProcess
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.GroupBy(v => v.Id)
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.Select(g => g.Last())
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.ToList();
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try
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{
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// **依赖于仓储层实现真正的批量更新**
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var variableModels = _mapper.Map<IEnumerable<Variable>>(uniqueItems);
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await _repositoryManager.Variables.UpdateBatchAsync(variableModels);
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_logger.LogInformation("成功批量更新 {Count} 条变量记录到数据库", uniqueItems.Count);
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}
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catch (Exception ex)
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{
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_logger.LogError(ex, $"更新数据库变量 {context.Data.Name} 失败: {ex.Message}");
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_logger.LogError(ex, "批量更新 {Count} 条变量记录时发生错误: {ErrorMessage}", uniqueItems.Count, ex.Message);
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// 错误处理策略:可以考虑将未成功的项重新入队,或记录到死信队列
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}
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}
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// 重新启动定时器
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_timer.Change(TIMER_INTERVAL_MS, TIMER_INTERVAL_MS);
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}
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public void Dispose()
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{
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_logger.LogInformation("正在释放 UpdateDbVariableProcessor,刷新队列中剩余的 {Count} 个项目", _queue.Count);
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_timer?.Dispose();
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// 在 Dispose 时,尝试将剩余数据写入数据库
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FlushQueueToDatabase().Wait();
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_logger.LogInformation("UpdateDbVariableProcessor 已释放");
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}
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}
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@@ -1,4 +1,5 @@
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using System.Globalization;
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using System.Data;
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using System.Globalization;
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using DMS.Application.DTOs;
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using DMS.Application.Interfaces;
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using DMS.Application.Models;
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@@ -14,123 +15,147 @@ public class ValueConvertProcessor : IVariableProcessor
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{
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_logger = logger;
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}
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public async Task ProcessAsync(VariableContext context)
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public Task ProcessAsync(VariableContext context)
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{
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var oldValue = context.Data.DataValue;
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// 步骤 1: 将原始值转换为 DataValue 和 NumericValue
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ConvertS7ValueToStringAndNumeric(context.Data, context.NewValue);
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// 步骤 2: 根据公式计算 DisplayValue
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CalculateDisplayValue(context.Data);
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context.Data.UpdatedAt = DateTime.Now;
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// 如何值没有变化则中断处理
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// 如果值没有变化则中断处理链
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if (context.Data.DataValue == oldValue)
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{
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context.IsHandled = true;
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}
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return Task.CompletedTask;
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}
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/// <summary>
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/// 根据转换公式计算用于UI显示的DisplayValue
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/// </summary>
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/// <param name="variable">需要处理的变量DTO</param>
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private void CalculateDisplayValue(VariableDto variable)
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{
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// 默认情况下,显示值等于原始数据值
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variable.DisplayValue = variable.DataValue;
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// 如果没有转换公式,则直接返回
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if (string.IsNullOrWhiteSpace(variable.ConversionFormula))
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{
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return;
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}
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try
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{
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// 将公式中的 'x' 替换为实际的数值
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// 使用 InvariantCulture 确保小数点是 '.'
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string expression = variable.ConversionFormula.ToLowerInvariant()
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.Replace("x", variable.NumericValue.ToString(CultureInfo.InvariantCulture));
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// 使用 DataTable.Compute 来安全地计算表达式
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var result = new DataTable().Compute(expression, null);
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// 将计算结果格式化后赋给 DisplayValue
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if (result is double || result is decimal || result is float)
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{
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variable.DisplayValue = string.Format("{0:F2}", result); // 默认格式化为两位小数,可根据需要调整
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}
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else
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{
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variable.DisplayValue = result.ToString();
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}
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}
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catch (Exception ex)
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{
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_logger.LogError(ex, $"为变量 {variable.Name} (ID: {variable.Id}) 计算DisplayValue时出错。公式: '{variable.ConversionFormula}'");
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// 如果计算出错,DisplayValue 将保持为原始的 DataValue,保证程序健壮性
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}
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}
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/// <summary>
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/// 将从 S7 读取的对象值转换为字符串表示和数值表示
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/// </summary>
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/// <param name="variable">关联的变量 DTO</param>
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/// <param name="value">从 S7 读取的原始对象值</param>
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/// <returns>(字符串表示, 数值表示)</returns>
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private void ConvertS7ValueToStringAndNumeric(VariableDto variable, object value)
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{
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if (value == null)
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return;
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// 首先根据 value 的实际运行时类型进行匹配和转换
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string directConversion = null;
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double numericValue = 0.0;
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bool numericParsed = false;
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switch (value)
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{
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case double d:
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directConversion = d.ToString("G17", CultureInfo.InvariantCulture);
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numericValue = d;
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numericParsed = true;
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break;
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case float f:
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directConversion = f.ToString("G9", CultureInfo.InvariantCulture);
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numericValue = f;
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numericParsed = true;
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break;
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case int i:
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directConversion = i.ToString(CultureInfo.InvariantCulture);
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numericValue = i;
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numericParsed = true;
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break;
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case uint ui:
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directConversion = ui.ToString(CultureInfo.InvariantCulture);
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numericValue = ui;
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numericParsed = true;
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break;
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case short s:
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directConversion = s.ToString(CultureInfo.InvariantCulture);
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numericValue = s;
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numericParsed = true;
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break;
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case ushort us:
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directConversion = us.ToString(CultureInfo.InvariantCulture);
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numericValue = us;
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numericParsed = true;
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break;
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case byte b:
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directConversion = b.ToString(CultureInfo.InvariantCulture);
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numericValue = b;
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numericParsed = true;
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break;
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case sbyte sb:
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directConversion = sb.ToString(CultureInfo.InvariantCulture);
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numericValue = sb;
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numericParsed = true;
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break;
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case long l:
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directConversion = l.ToString(CultureInfo.InvariantCulture);
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numericValue = l;
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numericParsed = true;
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break;
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case ulong ul:
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directConversion = ul.ToString(CultureInfo.InvariantCulture);
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numericValue = ul;
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numericParsed = true;
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break;
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case bool boolValue:
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directConversion = boolValue.ToString().ToLowerInvariant();
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numericValue = boolValue ? 1.0 : 0.0;
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numericParsed = true;
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break;
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case string str:
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directConversion = str;
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// 尝试从字符串解析数值
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if (double.TryParse(str, NumberStyles.Float, CultureInfo.InvariantCulture, out var parsedFromStr))
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{
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numericValue = parsedFromStr;
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numericParsed = true;
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}
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break;
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default:
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// 对于未预期的类型,记录日志
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_logger.LogWarning($"变量 {variable.Name} 读取到未预期的数据类型: {value.GetType().Name}, 值: {value}");
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directConversion = value.ToString() ?? string.Empty;
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// 尝试从 ToString() 结果解析数值
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if (double.TryParse(directConversion, NumberStyles.Float, CultureInfo.InvariantCulture, out var parsedFromObj))
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{
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numericValue = parsedFromObj;
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numericParsed = true;
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}
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break;
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}
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// 如果直接转换成功,直接返回
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// 如果直接转换未能解析数值,并且变量有明确的 DataType,可以尝试更精细的解析
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// (这部分逻辑在上面的 switch 中已经处理了大部分情况,这里作为后备)
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// 在这个实现中,我们主要依赖于 value 的实际类型进行转换,因为这通常更可靠。
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// 如果需要,可以根据 variable.DataType 添加额外的解析逻辑。
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// 返回最终结果
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variable.DataValue = directConversion ?? value.ToString() ?? string.Empty;
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variable.NumericValue = numericValue;
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}
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}
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@@ -25,5 +25,12 @@ namespace DMS.Core.Interfaces.Repositories
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/// <param name="opcUaNodeIds">OPC UA NodeId列表。</param>
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/// <returns>找到的变量实体列表。</returns>
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Task<List<Variable>> GetByOpcUaNodeIdsAsync(List<string> opcUaNodeIds);
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/// <summary>
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/// 异步批量更新变量。
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/// </summary>
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/// <param name="variables">要更新的变量实体集合。</param>
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/// <returns>受影响的行数。</returns>
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Task<int> UpdateBatchAsync(IEnumerable<Variable> variables);
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}
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}
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@@ -170,4 +170,20 @@ public class VariableRepository : BaseRepository<DbVariable>, IVariableRepositor
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.ToListAsync();
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return _mapper.Map<List<Variable>>(dbVariables);
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}
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/// <summary>
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/// 异步批量更新变量。
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/// </summary>
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/// <param name="variables">要更新的变量实体集合。</param>
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/// <returns>受影响的行数。</returns>
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public async Task<int> UpdateBatchAsync(IEnumerable<Variable> variables)
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{
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var stopwatch = new Stopwatch();
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stopwatch.Start();
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var dbVariables = _mapper.Map<List<DbVariable>>(variables);
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var result = await _dbContext.GetInstance().Updateable(dbVariables).ExecuteCommandAsync();
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stopwatch.Stop();
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_logger.LogInformation($"Batch update {typeof(DbVariable)}, Count={dbVariables.Count}, 耗时:{stopwatch.ElapsedMilliseconds}ms");
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return result;
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}
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}
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@@ -561,7 +561,7 @@ namespace DMS.Infrastructure.Services.OpcUa
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variable.Name, variable.Id, opcUaNode.NodeId, context.Device.Name);
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// 推送到数据处理队列
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await _dataProcessingService.EnqueueAsync(new VariableContext(variable, opcUaNode.Value));
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await _dataProcessingService.EnqueueAsync(new VariableContext(variable, opcUaNode.Value?.ToString()));
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_logger.LogDebug("HandleDataChanged: 变量 {VariableName} 的值已推送到数据处理队列", variable.Name);
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break;
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@@ -242,9 +242,8 @@ public class OptimizedS7BackgroundService : BackgroundService
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{
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if (readResults.TryGetValue(variable.S7Address, out var value))
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{
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// 将更新后的数据推入处理队列。
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await _dataProcessingService.EnqueueAsync(new VariableContext(variable, value));
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await _dataProcessingService.EnqueueAsync(new VariableContext(variable, value?.ToString()));
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}
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// else
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// {
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Block a user