1127 lines
51 KiB
C#
1127 lines
51 KiB
C#
using Confluent.Kafka;
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using DnsClient.Protocol;
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using FreeSql;
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using JiShe.CollectBus.Ammeters;
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using JiShe.CollectBus.Application.Contracts;
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using JiShe.CollectBus.Common.BuildSendDatas;
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using JiShe.CollectBus.Common.Consts;
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using JiShe.CollectBus.Common.DeviceBalanceControl;
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using JiShe.CollectBus.Common.Enums;
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using JiShe.CollectBus.Common.Extensions;
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using JiShe.CollectBus.Common.Helpers;
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using JiShe.CollectBus.Common.Models;
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using JiShe.CollectBus.GatherItem;
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using JiShe.CollectBus.IoTDB.Context;
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using JiShe.CollectBus.IoTDB.Interface;
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using JiShe.CollectBus.IoTDB.Model;
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using JiShe.CollectBus.IoTDB.Options;
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using JiShe.CollectBus.IoTDB.Provider;
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using JiShe.CollectBus.IotSystems.MessageIssueds;
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using JiShe.CollectBus.IotSystems.MeterReadingRecords;
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using JiShe.CollectBus.IotSystems.Watermeter;
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using JiShe.CollectBus.Kafka.Internal;
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using JiShe.CollectBus.Kafka.Producer;
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using JiShe.CollectBus.Protocol.Contracts;
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using JiShe.CollectBus.RedisDataCache;
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using JiShe.CollectBus.Repository.MeterReadingRecord;
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using Mapster;
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using Microsoft.Extensions.Configuration;
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using Microsoft.Extensions.DependencyInjection;
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using Microsoft.Extensions.Logging;
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using Microsoft.Extensions.Options;
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using System;
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using System.Collections.Generic;
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using System.Diagnostics;
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using System.Linq;
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using System.Threading;
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using System.Threading.Tasks;
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using static FreeSql.Internal.GlobalFilter;
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namespace JiShe.CollectBus.ScheduledMeterReading
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{
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/// <summary>
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/// 定时采集服务
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/// </summary>
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public abstract class BasicScheduledMeterReadingService : CollectBusAppService, IScheduledMeterReadingService
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{
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private readonly ILogger<BasicScheduledMeterReadingService> _logger;
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private readonly IIoTDbProvider _dbProvider;
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private readonly IProducerService _producerService;
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private readonly IRedisDataCacheService _redisDataCacheService;
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private readonly KafkaOptionConfig _kafkaOptions;
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private readonly IoTDBRuntimeContext _runtimeContext;
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public BasicScheduledMeterReadingService(
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ILogger<BasicScheduledMeterReadingService> logger,
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IProducerService producerService,
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IRedisDataCacheService redisDataCacheService,
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IIoTDbProvider dbProvider,
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IoTDBRuntimeContext runtimeContext,
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IOptions<KafkaOptionConfig> kafkaOptions)
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{
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_logger = logger;
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_dbProvider = dbProvider;
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_runtimeContext = runtimeContext;
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_producerService = producerService;
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_redisDataCacheService = redisDataCacheService;
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_kafkaOptions = kafkaOptions.Value;
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}
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/// <summary>
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/// 系统类型
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/// </summary>
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public abstract string SystemType { get; }
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/// <summary>
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/// 应用服务器部署标记
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/// </summary>
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public abstract string ServerTagName { get; }
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/// <summary>
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///电表日冻结采集项
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/// </summary>
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protected List<string> DayFreezeCodes = new List<string>() { "0D_3", "0D_4", "0D_161", "0D_162", "0D_163", "0D_164", "0D_165", "0D_166", "0D_167", "0D_168", "0C_149", };
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/// <summary>
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/// 电表月冻结采集项
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/// </summary>
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protected List<string> MonthFreezeCodes = new List<string>() { "0D_177", "0D_178", "0D_179", "0D_180", "0D_181", "0D_182", "0D_183", "0D_184", "0D_193", "0D_195", };
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/// <summary>
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/// 获取采集项列表
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/// </summary>
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/// <returns></returns>
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public virtual Task<List<GatherItemInfo>> GetGatherItemByDataTypes()
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{
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throw new NotImplementedException($"{nameof(GetGatherItemByDataTypes)}请根据不同系统类型进行实现");
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}
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/// <summary>
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/// 构建待处理的下发指令任务处理
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/// </summary>
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/// <returns></returns>
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public virtual async Task CreateToBeIssueTasks()
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{
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var redisCacheKey = $"{RedisConst.CacheBasicDirectoryKey}{SystemType}:{ServerTagName}:TaskInfo:*";
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var taskInfos = await FreeRedisProvider.Instance.KeysAsync(redisCacheKey);
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if (taskInfos == null || taskInfos.Length <= 0)
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{
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_logger.LogWarning($"{nameof(CreateToBeIssueTasks)} 构建待处理的下发指令任务处理时没有缓存数据,-101");
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return;
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}
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var currentTime = DateTime.Now;
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foreach (var item in taskInfos)
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{
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var tasksToBeIssueModel = await FreeRedisProvider.Instance.GetAsync<TasksToBeIssueModel>(item);
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if (tasksToBeIssueModel == null)
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{
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_logger.LogWarning($"{nameof(CreateToBeIssueTasks)} 构建待处理的下发指令任务处理时Key=>{item}没有缓存数据,102");
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continue;
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}
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//item 为 CacheTasksToBeIssuedKey 对应的缓存待下发的指令生产任务数据Redis Key tempArryay[0]=>CollectBus，tempArryay[1]=>SystemTypeConst，tempArryay[2]=>TaskInfo，tempArryay[3]=>表计类别，tempArryay[4]=>采集频率
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var tempArryay = item.Split(":");
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string meteryType = tempArryay[4];//表计类别
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int timeDensity = Convert.ToInt32(tempArryay[5]);//采集频率
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if (timeDensity > 15)
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{
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timeDensity = 15;
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}
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//检查任务时间节点，由于定时任务10秒钟运行一次，需要判定当前时间是否在任务时间节点内，不在则跳过
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if (!IsTaskTime(tasksToBeIssueModel.NextTaskTime, timeDensity))
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{
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_logger.LogInformation($"{nameof(CreateToBeIssueTasks)} 构建待处理的下发指令任务处理时Key=>{item}时间节点不在当前时间范围内,103");
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continue;
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}
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var meterTypes = EnumExtensions.ToEnumDictionary<MeterTypeEnum>();
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if (meteryType == MeterTypeEnum.Ammeter.ToString())
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{
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//List<MeterReadingTelemetryPacketInfo> pushTaskInfos = new();
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_runtimeContext.UseTableSessionPool = true;
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var metadata = await _dbProvider.GetMetadata<MeterReadingTelemetryPacketInfo>();
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_ = CreateMeterPublishTask<AmmeterInfo>(
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timeDensity: timeDensity,
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nextTaskTime: tasksToBeIssueModel.NextTaskTime.CalculateNextCollectionTime(timeDensity),
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meterType: MeterTypeEnum.Ammeter,
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taskCreateAction: (timeDensity, data, groupIndex, timestamps) =>
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{
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var tempTask = AmmerterCreatePublishTaskAction(timeDensity, data, groupIndex, timestamps);
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if (tempTask == null || tempTask.Count <= 0)
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{
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_logger.LogWarning($"{data.Name} 任务数据构建失败：{data.Serialize()}");
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return;
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}
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_dbProvider.BatchInsertAsync(metadata, tempTask);
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});
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}
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else if (meteryType == MeterTypeEnum.WaterMeter.ToString())
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{
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//todo 水表任务创建待处理
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//await WatermeterScheduledMeterReadingIssued(timeDensity, meterInfos);
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_ = CreateMeterPublishTask<WatermeterInfo>(
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timeDensity: timeDensity,
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nextTaskTime: tasksToBeIssueModel.NextTaskTime,
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meterType: MeterTypeEnum.Ammeter,
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taskCreateAction: (timeDensity, data, groupIndex, taskBatch) =>
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{
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//AmmerterCreatePublishTaskAction(timeDensity, data, groupIndex, taskBatch);
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});
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}
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else
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{
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_logger.LogError($"{nameof(CreateToBeIssueTasks)} {timeDensity}分钟采集待下发任务创建失败，没有获取到缓存信息,-106");
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}
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_logger.LogInformation($"{nameof(CreateToBeIssueTasks)} {timeDensity}分钟采集待下发任务创建完成");
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//根据当前的采集频率和类型，重新更新下一个任务点，把任务的创建源固定在当前逻辑，避免任务处理的逻辑异常导致任务创建失败。
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tasksToBeIssueModel.LastTaskTime = tasksToBeIssueModel.NextTaskTime;
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tasksToBeIssueModel.NextTaskTime = tasksToBeIssueModel.NextTaskTime.CalculateNextCollectionTime(timeDensity);
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await FreeRedisProvider.Instance.SetAsync(item, tasksToBeIssueModel);
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}
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}
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#region 电表采集处理
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/// <summary>
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/// 获取电表信息
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/// </summary>
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/// <param name="gatherCode">采集端Code</param>
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/// <returns></returns>
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public virtual Task<List<AmmeterInfo>> GetAmmeterInfoList(string gatherCode = "")
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{
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throw new NotImplementedException($"{nameof(GetAmmeterInfoList)}请根据不同系统类型进行实现");
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}
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/// <summary>
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/// 初始化电表缓存数据
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/// </summary>
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/// <param name="gatherCode">采集端Code</param>
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/// <returns></returns>
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public virtual async Task InitAmmeterCacheData(string gatherCode = "")
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{
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#if DEBUG
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var timeDensity = "15";
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var redisCacheMeterInfoHashKeyTemp = $"{string.Format(RedisConst.CacheMeterInfoHashKey, SystemType, "JiSheCollectBus2", MeterTypeEnum.Ammeter, timeDensity)}";
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var redisCacheMeterInfoSetIndexKeyTemp = $"{string.Format(RedisConst.CacheMeterInfoSetIndexKey, SystemType, "JiSheCollectBus2", MeterTypeEnum.Ammeter, timeDensity)}";
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var redisCacheMeterInfoZSetScoresIndexKeyTemp = $"{string.Format(RedisConst.CacheMeterInfoZSetScoresIndexKey, SystemType, "JiSheCollectBus2", MeterTypeEnum.Ammeter, timeDensity)}";
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List<AmmeterInfo> meterInfos = new List<AmmeterInfo>();
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List<string> focusAddressDataLista = new List<string>();
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var timer1 = Stopwatch.StartNew();
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var allIds = new HashSet<string>();
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decimal? score = null;
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string member = null;
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while (true)
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{
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var page = await _redisDataCacheService.GetAllPagedData<AmmeterInfo>(
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redisCacheMeterInfoHashKeyTemp,
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redisCacheMeterInfoZSetScoresIndexKeyTemp,
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pageSize: 1000,
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lastScore: score,
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lastMember: member);
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meterInfos.AddRange(page.Items);
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focusAddressDataLista.AddRange(page.Items.Select(d => d.FocusAddress));
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foreach (var item in page.Items)
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{
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if (!allIds.Add(item.MemberId))
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{
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_logger.LogError($"{item.MemberId}Duplicate data found!");
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}
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}
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if (!page.HasNext) break;
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score = page.NextScore;
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member = page.NextMember;
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}
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timer1.Stop();
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_logger.LogError($"读取数据总共花费时间{timer1.ElapsedMilliseconds}毫秒");
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//DeviceGroupBalanceControl.InitializeCache(focusAddressDataLista, _kafkaOptions.NumPartitions);
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//return;
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#else
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var meterInfos = await GetAmmeterInfoList(gatherCode);
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#endif
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if (meterInfos == null || meterInfos.Count <= 0)
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{
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throw new NullReferenceException($"{nameof(InitAmmeterCacheData)} 初始化电表缓存数据时，电表数据为空");
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}
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//获取采集项类型数据
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var gatherItemInfos = await GetGatherItemByDataTypes();
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if (gatherItemInfos == null || gatherItemInfos.Count <= 0)
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{
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throw new NullReferenceException($"{nameof(InitAmmeterCacheData)} 初始化电表缓存数据时，采集项类型数据为空");
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}
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var timer = Stopwatch.StartNew();
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List<string> focusAddressDataList = new List<string>();//用于处理Kafka主题分区数据的分发和处理。
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//根据采集频率分组，获得采集频率分组
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var meterInfoGroupByTimeDensity = meterInfos.GroupBy(d => d.TimeDensity);
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if (_kafkaOptions.FirstCollectionTime.HasValue == false)
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{
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_kafkaOptions.FirstCollectionTime = DateTime.Now;
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}
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//先处理采集频率任务缓存
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foreach (var item in meterInfoGroupByTimeDensity)
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{
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TasksToBeIssueModel nextTask = new TasksToBeIssueModel()
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{
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LastTaskTime = null,
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TimeDensity = item.Key,
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NextTaskTime = _kafkaOptions.FirstCollectionTime.Value.CalculateNextCollectionTime(item.Key),//使用首次采集时间作为下一次采集时间
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};
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//todo 首次采集时间节点到目前运行时间中漏采的时间点，可以考虑使用IoTDB的存储，利用时间序列处理。
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var taskRedisCacheKey = string.Format(RedisConst.CacheTasksToBeIssuedKey, SystemType, ServerTagName, MeterTypeEnum.Ammeter, item.Key);
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await FreeRedisProvider.Instance.SetAsync(taskRedisCacheKey, nextTask);
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}
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foreach (var itemTimeDensity in meterInfoGroupByTimeDensity)
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{
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var redisCacheMeterInfoHashKey = $"{string.Format(RedisConst.CacheMeterInfoHashKey, SystemType, ServerTagName, MeterTypeEnum.Ammeter, itemTimeDensity.Key)}";
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var redisCacheMeterInfoSetIndexKey = $"{string.Format(RedisConst.CacheMeterInfoSetIndexKey, SystemType, ServerTagName, MeterTypeEnum.Ammeter, itemTimeDensity.Key)}";
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var redisCacheMeterInfoZSetScoresIndexKey = $"{string.Format(RedisConst.CacheMeterInfoZSetScoresIndexKey, SystemType, ServerTagName, MeterTypeEnum.Ammeter, itemTimeDensity.Key)}";
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List<AmmeterInfo> ammeterInfos = new List<AmmeterInfo>();
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//将表计信息根据集中器分组，获得集中器号
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var meterInfoGroup = itemTimeDensity.GroupBy(x => x.FocusAddress).ToList();
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foreach (var item in meterInfoGroup)
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{
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if (string.IsNullOrWhiteSpace(item.Key))//集中器号为空，跳过
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{
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continue;
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}
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focusAddressDataList.Add(item.Key);
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// var redisCacheKey = $"{string.Format(RedisConst.CacheMeterInfoKey, SystemType, ServerTagName, MeterTypeEnum.Ammeter, itemTimeDensity.Key)}{item.Key}";
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#if DEBUG
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//每次缓存时，删除缓存，避免缓存数据有不准确的问题
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//await FreeRedisProvider.Instance.DelAsync(redisCacheKey);
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#else
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//每次缓存时，删除缓存，避免缓存数据有不准确的问题
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//await FreeRedisProvider.Instance.DelAsync(redisCacheKey);
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#endif
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//Dictionary<string, AmmeterInfo> keyValuePairs = new Dictionary<string, AmmeterInfo>();
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foreach (var ammeter in item)
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{
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//处理ItemCode
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if (string.IsNullOrWhiteSpace(ammeter.ItemCodes) && !string.IsNullOrWhiteSpace(ammeter.DataTypes))
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{
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var itemArr = ammeter.DataTypes.Split(',').ToList();
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#region 拼接采集项
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List<string> itemCodeList = new List<string>();
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foreach (var dataType in itemArr)
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{
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var excludeItemCode = "10_98,10_94";//TODO 排除透明转发:尖峰平谷时段、跳合闸,特殊电表
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var gatherItem = gatherItemInfos.FirstOrDefault(f => f.DataType.Equals(dataType));
|
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if (gatherItem != null)
|
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{
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if (!excludeItemCode.Contains(gatherItem.ItemCode))
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{
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itemCodeList.Add(gatherItem.ItemCode);
|
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}
|
||
}
|
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|
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#region 特殊电表采集项编号处理
|
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if (itemArr.Exists(e => e.Equals("95"))) //德力西DTS
|
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{
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itemCodeList.Add("10_95");
|
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}
|
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if (itemArr.Exists(e => e.Equals("109")))//WAVE_109
|
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{
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itemCodeList.Add("10_109");
|
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}
|
||
#endregion
|
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}
|
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#endregion
|
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|
||
|
||
|
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ammeter.ItemCodes = itemCodeList.Serialize();//转换成JSON字符串
|
||
|
||
if (!string.IsNullOrWhiteSpace(ammeter.ItemCodes))
|
||
{
|
||
ammeter.ItemCodes = ammeter.ItemCodes.Replace("WAVE_109", "10_109");
|
||
}
|
||
}
|
||
|
||
ammeterInfos.Add(ammeter);
|
||
}
|
||
}
|
||
|
||
await _redisDataCacheService.BatchInsertDataAsync<AmmeterInfo>(
|
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redisCacheMeterInfoHashKey,
|
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redisCacheMeterInfoSetIndexKey,
|
||
redisCacheMeterInfoZSetScoresIndexKey, ammeterInfos);
|
||
}
|
||
|
||
//初始化设备组负载控制
|
||
if (focusAddressDataList == null || focusAddressDataList.Count <= 0)
|
||
{
|
||
_logger.LogError($"{nameof(InitAmmeterCacheData)} 初始化设备组负载控制失败，没有找到对应的设备信息");
|
||
|
||
}
|
||
else
|
||
{
|
||
DeviceGroupBalanceControl.InitializeCache(focusAddressDataList, _kafkaOptions.NumPartitions);
|
||
}
|
||
|
||
timer.Stop();
|
||
|
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_logger.LogInformation($"{nameof(InitAmmeterCacheData)} 初始化电表缓存数据完成，耗时{timer.ElapsedMilliseconds}毫秒");
|
||
}
|
||
|
||
/// <summary>
|
||
/// 1分钟采集电表数据，只获取任务数据下发，不构建任务
|
||
/// </summary>
|
||
/// <returns></returns>
|
||
public virtual async Task AmmeterScheduledMeterOneMinuteReading()
|
||
{
|
||
|
||
//获取缓存中的电表信息
|
||
int timeDensity = 5;
|
||
var currentTime = DateTime.Now;
|
||
|
||
// 自动计算最佳并发度
|
||
int recommendedThreads = DeviceGroupBalanceControl.CalculateOptimalThreadCount();
|
||
|
||
var options = new ParallelOptions
|
||
{
|
||
MaxDegreeOfParallelism = recommendedThreads,
|
||
};
|
||
var taskBatch = $"{currentTime:yyyyMMddHHmm00}";
|
||
|
||
//Parallel.For(0, _kafkaOptions.NumPartitions, options, async groupIndex =>
|
||
//{
|
||
// var redisCacheTelemetryPacketInfoHashKey = $"{string.Format(RedisConst.CacheTelemetryPacketInfoHashKey, SystemType, ServerTagName, MeterTypeEnum.Ammeter, timeDensity, groupIndex, taskBatch)}";
|
||
// var redisCacheTelemetryPacketInfoZSetScoresIndexKey = $"{string.Format(RedisConst.CacheTelemetryPacketInfoZSetScoresIndexKey, SystemType, ServerTagName, MeterTypeEnum.Ammeter, timeDensity, groupIndex, taskBatch)}";
|
||
|
||
// _ = CreateMeterKafkaTaskMessage(redisCacheTelemetryPacketInfoHashKey, redisCacheTelemetryPacketInfoZSetScoresIndexKey);
|
||
//});
|
||
|
||
await Task.CompletedTask;
|
||
|
||
}
|
||
|
||
/// <summary>
|
||
/// 5分钟采集电表数据
|
||
/// </summary>
|
||
/// <returns></returns>
|
||
public virtual async Task AmmeterScheduledMeterFiveMinuteReading()
|
||
{
|
||
//获取缓存中的电表信息
|
||
int timeDensity = 5;
|
||
var currentTime = DateTime.Now;
|
||
|
||
// 自动计算最佳并发度
|
||
int recommendedThreads = DeviceGroupBalanceControl.CalculateOptimalThreadCount();
|
||
|
||
var options = new ParallelOptions
|
||
{
|
||
MaxDegreeOfParallelism = recommendedThreads,
|
||
};
|
||
var taskBatch = $"{currentTime:yyyyMMddHHmm00}";
|
||
|
||
//Parallel.For(0, _kafkaOptions.NumPartitions, options, async groupIndex =>
|
||
//{
|
||
// var redisCacheTelemetryPacketInfoHashKey = $"{string.Format(RedisConst.CacheTelemetryPacketInfoHashKey, SystemType, ServerTagName, MeterTypeEnum.Ammeter, timeDensity, groupIndex, taskBatch)}";
|
||
// var redisCacheTelemetryPacketInfoZSetScoresIndexKey = $"{string.Format(RedisConst.CacheTelemetryPacketInfoZSetScoresIndexKey, SystemType, ServerTagName, MeterTypeEnum.Ammeter, timeDensity, groupIndex, taskBatch)}";
|
||
|
||
// _ = CreateMeterKafkaTaskMessage(redisCacheTelemetryPacketInfoHashKey, redisCacheTelemetryPacketInfoZSetScoresIndexKey);
|
||
//});
|
||
}
|
||
|
||
/// <summary>
|
||
/// 15分钟采集电表数据
|
||
/// </summary>
|
||
/// <returns></returns>
|
||
public virtual async Task AmmeterScheduledMeterFifteenMinuteReading()
|
||
{
|
||
//获取缓存中的电表信息
|
||
int timeDensity = 15;
|
||
//var currentTime = DateTime.Now.CalculateNextCollectionTime(timeDensity);
|
||
var currentTime = Convert.ToDateTime("2025-04-21 17:42:00").CalculateNextCollectionTime(timeDensity);
|
||
|
||
var redisCacheKey = string.Format(RedisConst.CacheTasksToBeIssuedKey, SystemType, ServerTagName,MeterTypeEnum.Ammeter,timeDensity);
|
||
var taskInfo = await FreeRedisProvider.Instance.GetAsync<TasksToBeIssueModel>(redisCacheKey);
|
||
|
||
if (taskInfo == null || taskInfo.LastTaskTime.HasValue == false)
|
||
{
|
||
_logger.LogError($"{nameof(AmmeterScheduledMeterFifteenMinuteReading)} {timeDensity}分钟获取任务下发信息失败，请检查Redis中是否有对应的任务下发信息");
|
||
return;
|
||
}
|
||
|
||
// 自动计算最佳并发度
|
||
int recommendedThreads = DeviceGroupBalanceControl.CalculateOptimalThreadCount();
|
||
|
||
var options = new ParallelOptions
|
||
{
|
||
MaxDegreeOfParallelism = recommendedThreads,
|
||
};
|
||
var pendingCopyReadTime = taskInfo.LastTaskTime.Value.GetDateTimeOffset().ToUnixTimeNanoseconds();
|
||
|
||
var conditions = new List<QueryCondition>();
|
||
conditions.Add(new QueryCondition()
|
||
{
|
||
Field = "PendingCopyReadTime",
|
||
Operator = "=",
|
||
IsNumber = true,
|
||
Value = pendingCopyReadTime
|
||
});
|
||
|
||
_ = CreateMeterKafkaTaskMessage<MeterReadingTelemetryPacketInfo>(timeDensity, new IoTDBQueryOptions()
|
||
{
|
||
TableNameOrTreePath = DevicePathBuilder.GetTableName<MeterReadingTelemetryPacketInfo>(),
|
||
PageIndex = 1,
|
||
PageSize = 3000,
|
||
Conditions = conditions,
|
||
});
|
||
}
|
||
|
||
|
||
///// <summary>
|
||
///// 创建电表待发送的任务数据
|
||
///// </summary>
|
||
///// <param name="timeDensity">采集频率</param>
|
||
///// <param name="taskBatch">时间格式的任务批次名称</param>
|
||
///// <returns></returns>
|
||
//private async Task AmmerterCreatePublishTask(int timeDensity, string taskBatch)
|
||
//{
|
||
// var timer = Stopwatch.StartNew();
|
||
|
||
// //获取对应频率中的所有电表信息
|
||
// var redisCacheMeterInfoHashKeyTemp = $"{string.Format(RedisConst.CacheMeterInfoHashKey, SystemType, ServerTagName, MeterTypeEnum.Ammeter, timeDensity)}";
|
||
// var redisCacheMeterInfoSetIndexKeyTemp = $"{string.Format(RedisConst.CacheMeterInfoSetIndexKey, SystemType, ServerTagName, MeterTypeEnum.Ammeter, timeDensity)}";
|
||
// var redisCacheMeterInfoZSetScoresIndexKeyTemp = $"{string.Format(RedisConst.CacheMeterInfoZSetScoresIndexKey, SystemType, ServerTagName, MeterTypeEnum.Ammeter, timeDensity)}";
|
||
|
||
// List<AmmeterInfo> meterInfos = new List<AmmeterInfo>();
|
||
// decimal? cursor = null;
|
||
// string member = null;
|
||
// bool hasNext;
|
||
// do
|
||
// {
|
||
// var page = await _redisDataCacheService.GetAllPagedData<AmmeterInfo>(
|
||
// redisCacheMeterInfoHashKeyTemp,
|
||
// redisCacheMeterInfoZSetScoresIndexKeyTemp,
|
||
// pageSize: 1000,
|
||
// lastScore: cursor,
|
||
// lastMember: member);
|
||
|
||
// meterInfos.AddRange(page.Items);
|
||
// cursor = page.HasNext ? page.NextScore : null;
|
||
// member = page.HasNext ? page.NextMember : null;
|
||
// hasNext = page.HasNext;
|
||
// } while (hasNext);
|
||
|
||
// if (meterInfos == null || meterInfos.Count <= 0)
|
||
// {
|
||
// timer.Stop();
|
||
// _logger.LogError($"{nameof(AmmerterCreatePublishTaskAction)} {timeDensity}分钟采集待下发任务创建失败，没有获取到缓存信息,-105");
|
||
// return;
|
||
// }
|
||
|
||
|
||
// await DeviceGroupBalanceControl.ProcessWithThrottleAsync(
|
||
// items: meterInfos,
|
||
// deviceIdSelector: data => data.FocusAddress,
|
||
// processor: (data, groupIndex) =>
|
||
// {
|
||
// AmmerterCreatePublishTaskAction(timeDensity, data, groupIndex, taskBatch);
|
||
// }
|
||
// );
|
||
|
||
// timer.Stop();
|
||
// _logger.LogInformation($"{nameof(AmmerterCreatePublishTaskAction)} {timeDensity}分钟采集待下发任务创建完成,{timer.ElapsedMilliseconds},总共{meterInfos.Count}表计信息");
|
||
//}
|
||
|
||
|
||
/// <summary>
|
||
/// 创建电表待发送的任务数据
|
||
/// </summary>
|
||
/// <param name="timeDensity">采集频率</param>
|
||
/// <param name="ammeterInfo">电表信息</param>
|
||
/// <param name="groupIndex">集中器所在分组</param>
|
||
/// <param name="timestamps">采集频率对应的时间戳</param>
|
||
/// <returns></returns>
|
||
private List<MeterReadingTelemetryPacketInfo> AmmerterCreatePublishTaskAction(int timeDensity
|
||
, AmmeterInfo ammeterInfo, int groupIndex, DateTime timestamps)
|
||
{
|
||
var currentTime = DateTime.Now;
|
||
|
||
var handlerPacketBuilder = TelemetryPacketBuilder.AFNHandlersDictionary;
|
||
//todo 检查需要待补抄的电表的时间点信息，保存到需要待补抄的缓存中。如果此线程异常，该如何补偿？
|
||
|
||
if (string.IsNullOrWhiteSpace(ammeterInfo.ItemCodes))
|
||
{
|
||
// _logger.LogError($"{nameof(AmmerterCreatePublishTask)} 集中器{ammeterInfo.FocusAddress}的电表{ammeterInfo.Name}数据采集指令生成失败，采集项为空,-101");
|
||
return null;
|
||
}
|
||
|
||
//载波的不处理
|
||
if (ammeterInfo.MeteringPort == (int)MeterLinkProtocolEnum.Carrierwave)
|
||
{
|
||
//_logger.LogError($"{nameof(AmmerterCreatePublishTask)} 集中器{ammeterInfo.FocusAddress}的电表{ammeterInfo.Name}数据采集指令生成失败，载波不处理,-102");
|
||
return null;
|
||
}
|
||
|
||
if (ammeterInfo.State.Equals(2))
|
||
{
|
||
//_logger.LogWarning($"{nameof(AmmerterCreatePublishTask)} {ammeterInfo.Name} 集中器{ammeterInfo.FocusAddress}的电表{ammeterInfo.Name}状态为禁用，不处理");
|
||
return null;
|
||
}
|
||
|
||
////排除1天未在线的集中器生成指令 或 排除集中器配置为自动上报的集中器
|
||
//if (!IsGennerateCmd(ammeter.LastTime, -1))
|
||
//{
|
||
// _logger.LogInformation($"{nameof(CreatePublishTask)} 集中器{ammeter.FocusAddress}的电表{ammeter.Name}，采集时间：{ammeter.LastTime}，已超过1天未在线，不生成指令");
|
||
// continue;
|
||
//}
|
||
|
||
if (string.IsNullOrWhiteSpace(ammeterInfo.AreaCode))
|
||
{
|
||
// _logger.LogError($"{nameof(AmmerterCreatePublishTask)} 表ID:{ammeterInfo.ID},集中器通信区号为空");
|
||
return null;
|
||
}
|
||
if (string.IsNullOrWhiteSpace(ammeterInfo.Address))
|
||
{
|
||
//_logger.LogError($"{nameof(AmmerterCreatePublishTask)} 表ID:{ammeterInfo.ID},集中器通信地址为空");
|
||
return null;
|
||
}
|
||
if (Convert.ToInt32(ammeterInfo.Address) > 65535)
|
||
{
|
||
//_logger.LogError($"{nameof(AmmerterCreatePublishTask)} 表ID:{ammeterInfo.ID},集中器通信地址无效,确保大于65535");
|
||
return null;
|
||
}
|
||
if (ammeterInfo.MeteringCode <= 0 || ammeterInfo.MeteringCode > 33)
|
||
{
|
||
//_logger.LogError($"{nameof(AmmerterCreatePublishTask)} 表ID:{ammeterInfo.ID},非有效测量点号({ammeterInfo.MeteringCode})");
|
||
return null;
|
||
}
|
||
|
||
List<string> tempCodes = ammeterInfo.ItemCodes.Deserialize<List<string>>()!;
|
||
|
||
//TODO:自动上报数据只主动采集1类数据。
|
||
if (ammeterInfo.AutomaticReport.Equals(1))
|
||
{
|
||
var tempSubCodes = new List<string>();
|
||
if (tempCodes.Contains("0C_49"))
|
||
{
|
||
tempSubCodes.Add("0C_49");
|
||
}
|
||
|
||
if (tempSubCodes.Contains("0C_149"))
|
||
{
|
||
tempSubCodes.Add("0C_149");
|
||
}
|
||
|
||
if (ammeterInfo.ItemCodes.Contains("10_97"))
|
||
{
|
||
tempSubCodes.Add("10_97");
|
||
}
|
||
|
||
if (tempSubCodes == null || tempSubCodes.Count <= 0)
|
||
{
|
||
//_logger.LogInformation($"{nameof(AmmerterCreatePublishTask)} 集中器{ammeterInfo.FocusAddress}的电表{ammeterInfo.Name}自动上报数据主动采集1类数据时数据类型为空");
|
||
return null;
|
||
}
|
||
else
|
||
{
|
||
tempCodes = tempSubCodes;
|
||
}
|
||
}
|
||
|
||
List<MeterReadingTelemetryPacketInfo> taskList = new List<MeterReadingTelemetryPacketInfo>();
|
||
|
||
foreach (var tempItem in tempCodes)
|
||
{
|
||
//排除已发送日冻结和月冻结采集项配置
|
||
if (DayFreezeCodes.Contains(tempItem))
|
||
{
|
||
continue;
|
||
}
|
||
|
||
if (MonthFreezeCodes.Contains(tempItem))
|
||
{
|
||
continue;
|
||
}
|
||
|
||
var itemCodeArr = tempItem.Split('_');
|
||
var aFNStr = itemCodeArr[0];
|
||
var aFN = (AFN)aFNStr.HexToDec();
|
||
var fn = int.Parse(itemCodeArr[1]);
|
||
TelemetryPacketResponse builderResponse = null;
|
||
if (ammeterInfo.AutomaticReport.Equals(1) && aFN == AFN.请求实时数据)
|
||
{
|
||
//实时数据
|
||
builderResponse = TelemetryPacketBuilder.AFN0C_Fn_Send(new TelemetryPacketRequest()
|
||
{
|
||
FocusAddress = ammeterInfo.FocusAddress,
|
||
Fn = fn,
|
||
Pn = ammeterInfo.MeteringCode
|
||
});
|
||
}
|
||
else
|
||
{
|
||
string methonCode = $"AFN{aFNStr}_Fn_Send";
|
||
//特殊表暂不处理
|
||
if (handlerPacketBuilder != null && handlerPacketBuilder.TryGetValue(methonCode
|
||
, out var handler))
|
||
{
|
||
builderResponse = handler(new TelemetryPacketRequest()
|
||
{
|
||
FocusAddress = ammeterInfo.FocusAddress,
|
||
Fn = fn,
|
||
Pn = ammeterInfo.MeteringCode
|
||
});
|
||
}
|
||
else
|
||
{
|
||
//_logger.LogWarning($"{nameof(AmmerterCreatePublishTask)} 集中器{ammeterInfo.FocusAddress}的电表{ammeterInfo.Name}采集项{tempItem}无效编码。");
|
||
continue;
|
||
}
|
||
}
|
||
//TODO:特殊表
|
||
|
||
if (builderResponse == null || builderResponse.Data.Length <= 0)
|
||
{
|
||
//_logger.LogWarning($"{nameof(AmmerterCreatePublishTask)} 集中器{ammeterInfo.FocusAddress}的电表{ammeterInfo.Name}采集项{tempItem}未能正确获取报文。");
|
||
continue;
|
||
}
|
||
|
||
|
||
|
||
var meterReadingRecords = new MeterReadingTelemetryPacketInfo()
|
||
{
|
||
SystemName = SystemType,
|
||
ProjectId = $"{ammeterInfo.ProjectID}",
|
||
DeviceType = $"{MeterTypeEnum.Ammeter}",
|
||
DeviceId = $"{ammeterInfo.FocusAddress}",
|
||
Timestamps = DateTimeOffset.Now.ToUnixTimeNanoseconds(),
|
||
DatabaseBusiID = ammeterInfo.DatabaseBusiID,
|
||
PendingCopyReadTime = timestamps,
|
||
CreationTime = currentTime,
|
||
MeterAddress = ammeterInfo.AmmerterAddress,
|
||
AFN = (int)aFN,
|
||
Fn = fn,
|
||
//Seq = builderResponse.Seq,
|
||
MSA = builderResponse.MSA,
|
||
ItemCode = tempItem,
|
||
TaskMark = CommonHelper.GetTaskMark((int)aFN, fn, ammeterInfo.MeteringCode, builderResponse.MSA),
|
||
IsSend = false,
|
||
ManualOrNot = false,
|
||
Pn = ammeterInfo.MeteringCode,
|
||
IssuedMessageId = GuidGenerator.Create().ToString(),
|
||
IssuedMessageHexString = Convert.ToHexString(builderResponse.Data),
|
||
IsReceived = false,
|
||
};
|
||
|
||
taskList.Add(meterReadingRecords);
|
||
}
|
||
|
||
return taskList;
|
||
}
|
||
|
||
#endregion
|
||
|
||
|
||
#region 水表采集处理
|
||
|
||
/// <summary>
|
||
/// 获取水表信息
|
||
/// </summary>
|
||
/// <param name="gatherCode">采集端Code</param>
|
||
/// <returns></returns>
|
||
public virtual Task<List<WatermeterInfo>> GetWatermeterInfoList(string gatherCode = "")
|
||
{
|
||
throw new NotImplementedException($"{nameof(GetWatermeterInfoList)}请根据不同系统类型进行实现");
|
||
}
|
||
|
||
/// <summary>
|
||
/// 初始化水表缓存数据
|
||
/// </summary>
|
||
/// <param name="gatherCode">采集端Code</param>
|
||
/// <returns></returns>
|
||
public virtual async Task InitWatermeterCacheData(string gatherCode = "")
|
||
{
|
||
var meterInfos = await GetWatermeterInfoList(gatherCode);
|
||
if (meterInfos == null || meterInfos.Count <= 0)
|
||
{
|
||
throw new NullReferenceException($"{nameof(InitWatermeterCacheData)} 初始化水表缓存数据时，水表数据为空");
|
||
}
|
||
|
||
//获取采集项类型数据
|
||
var gatherItemInfos = await GetGatherItemByDataTypes();
|
||
if (gatherItemInfos == null || gatherItemInfos.Count <= 0)
|
||
{
|
||
throw new NullReferenceException($"{nameof(InitAmmeterCacheData)} 初始化水表缓存数据时，采集项类型数据为空");
|
||
}
|
||
|
||
//根据采集频率分组，获得采集频率分组
|
||
var meterInfoGroupByTimeDensity = meterInfos.GroupBy(d => d.TimeDensity);
|
||
foreach (var itemTimeDensity in meterInfoGroupByTimeDensity)
|
||
{
|
||
//将表计信息根据集中器分组，获得集中器号
|
||
var meterInfoGroup = itemTimeDensity.GroupBy(x => x.FocusAddress).ToList();
|
||
foreach (var item in meterInfoGroup)
|
||
{
|
||
if (string.IsNullOrWhiteSpace(item.Key))
|
||
{
|
||
continue;
|
||
}
|
||
|
||
var redisCacheKey = $"{string.Format(RedisConst.CacheMeterInfoHashKey, SystemType, ServerTagName, MeterTypeEnum.WaterMeter, itemTimeDensity.Key)}{item.Key}";
|
||
Dictionary<string, WatermeterInfo> keyValuePairs = new Dictionary<string, WatermeterInfo>();
|
||
foreach (var subItem in item)
|
||
{
|
||
|
||
keyValuePairs.TryAdd($"{subItem.MeterId}", subItem);
|
||
}
|
||
await FreeRedisProvider.Instance.HSetAsync(redisCacheKey, keyValuePairs);
|
||
}
|
||
|
||
//在缓存表信息数据的时候，新增下一个时间的自动处理任务，1分钟后执行
|
||
TasksToBeIssueModel nextTask = new TasksToBeIssueModel()
|
||
{
|
||
TimeDensity = itemTimeDensity.Key,
|
||
NextTaskTime = DateTime.Now.AddMinutes(1)
|
||
};
|
||
|
||
var taskRedisCacheKey = string.Format(RedisConst.CacheTasksToBeIssuedKey, SystemType, ServerTagName, MeterTypeEnum.WaterMeter, itemTimeDensity.Key);
|
||
await FreeRedisProvider.Instance.SetAsync(taskRedisCacheKey, nextTask);
|
||
}
|
||
|
||
|
||
_logger.LogInformation($"{nameof(InitAmmeterCacheData)} 初始化水表缓存数据完成");
|
||
}
|
||
|
||
/// <summary>
|
||
/// 水表数据采集
|
||
/// </summary>
|
||
/// <returns></returns>
|
||
public virtual async Task WatermeterScheduledMeterAutoReading()
|
||
{
|
||
//获取缓存中的水表信息
|
||
int timeDensity = 1;
|
||
var redisKeyList = GetTelemetryPacketCacheKeyPrefix(timeDensity, MeterTypeEnum.WaterMeter);
|
||
var oneMinutekeyList = await FreeRedisProvider.Instance.KeysAsync(redisKeyList);
|
||
if (oneMinutekeyList == null || oneMinutekeyList.Length <= 0)
|
||
{
|
||
_logger.LogError($"{nameof(WatermeterScheduledMeterAutoReading)} {timeDensity}分钟采集水表数据处理时没有获取到缓存信息,-101");
|
||
return;
|
||
}
|
||
|
||
//获取下发任务缓存数据
|
||
Dictionary<string, Dictionary<string, MeterReadingRecords>> meterTaskInfos = await GetMeterRedisCacheDictionaryData<MeterReadingRecords>(oneMinutekeyList, SystemType, ServerTagName, timeDensity.ToString(), MeterTypeEnum.WaterMeter);
|
||
if (meterTaskInfos == null || meterTaskInfos.Count <= 0)
|
||
{
|
||
_logger.LogError($"{nameof(WatermeterScheduledMeterAutoReading)} {timeDensity}分钟采集水表数据处理时没有获取到缓存信息,-102");
|
||
return;
|
||
}
|
||
|
||
List<MeterReadingRecords> meterTaskInfosList = new List<MeterReadingRecords>();
|
||
|
||
//将取出的缓存任务数据发送到Kafka消息队列中
|
||
foreach (var focusItem in meterTaskInfos)
|
||
{
|
||
foreach (var ammerterItem in focusItem.Value)
|
||
{
|
||
var tempMsg = new ScheduledMeterReadingIssuedEventMessage()
|
||
{
|
||
MessageHexString = ammerterItem.Value.IssuedMessageHexString,
|
||
MessageId = ammerterItem.Value.IssuedMessageId,
|
||
FocusAddress = ammerterItem.Value.FocusAddress,
|
||
TimeDensity = timeDensity.ToString(),
|
||
};
|
||
|
||
//await _producerBus.PublishAsync(ProtocolConst.WatermeterSubscriberWorkerAutoReadingIssuedEventName, tempMsg);
|
||
|
||
//_ = _producerBus.Publish(tempMsg);
|
||
|
||
|
||
meterTaskInfosList.Add(ammerterItem.Value);
|
||
}
|
||
}
|
||
if (meterTaskInfosList != null && meterTaskInfosList.Count > 0)
|
||
{
|
||
// await _meterReadingRecordRepository.InsertManyAsync(meterTaskInfosList);
|
||
}
|
||
|
||
////删除任务数据
|
||
//await FreeRedisProvider.Instance.DelAsync(oneMinutekeyList);
|
||
|
||
////缓存下一个时间的任务
|
||
//await CacheNextTaskData(timeDensity, MeterTypeEnum.WaterMeter);
|
||
|
||
|
||
_logger.LogInformation($"{nameof(WatermeterScheduledMeterAutoReading)} {timeDensity}分钟采集水表数据处理完成");
|
||
}
|
||
|
||
///// <summary>
|
||
///// 创建水表待发送的任务数据
|
||
///// </summary>
|
||
///// <param name="timeDensity">采集频率</param>
|
||
///// <param name="meterInfo">水表信息</param>
|
||
///// <param name="groupIndex">集中器所在分组</param>
|
||
///// <param name="taskBatch">时间格式的任务批次名称</param>
|
||
///// <returns></returns>
|
||
//private void WatermeterCreatePublishTaskAction(int timeDensity
|
||
// , WatermeterInfo meterInfo, int groupIndex, string taskBatch)
|
||
//{
|
||
// var handlerPacketBuilder = TelemetryPacketBuilder.AFNHandlersDictionary;
|
||
|
||
|
||
// var currentTime = DateTime.Now;
|
||
// var pendingCopyReadTime = currentTime.AddMinutes(timeDensity);
|
||
|
||
// var redisCacheTelemetryPacketInfoHashKey = $"{string.Format(RedisConst.CacheTelemetryPacketInfoHashKey, SystemType, ServerTagName, MeterTypeEnum.Ammeter, timeDensity, groupIndex, taskBatch)}";
|
||
// var redisCacheTelemetryPacketInfoSetIndexKey = $"{string.Format(RedisConst.CacheTelemetryPacketInfoSetIndexKey, SystemType, ServerTagName, MeterTypeEnum.Ammeter, timeDensity, groupIndex, taskBatch)}";
|
||
// var redisCacheTelemetryPacketInfoZSetScoresIndexKey = $"{string.Format(RedisConst.CacheTelemetryPacketInfoZSetScoresIndexKey, SystemType, ServerTagName, MeterTypeEnum.Ammeter, timeDensity, groupIndex, taskBatch)}";
|
||
|
||
|
||
// var taskInfo = new MeterReadingTelemetryPacketInfo()
|
||
// {
|
||
// Seq= null,
|
||
|
||
// };
|
||
// //
|
||
|
||
// Build188SendData.Build188WaterMeterReadingSendDataUnit(meterInfo.Address);
|
||
|
||
// using (var pipe = FreeRedisProvider.Instance.StartPipe())
|
||
// {
|
||
// // 主数据存储Hash
|
||
// pipe.HSet(redisCacheTelemetryPacketInfoHashKey, taskInfo.MemberId, taskInfo.Serialize());
|
||
|
||
// // Set索引缓存
|
||
// pipe.SAdd(redisCacheTelemetryPacketInfoSetIndexKey, taskInfo.MemberId);
|
||
|
||
// // ZSET索引缓存Key
|
||
// pipe.ZAdd(redisCacheTelemetryPacketInfoZSetScoresIndexKey, taskInfo.ScoreValue, taskInfo.MemberId);
|
||
|
||
// pipe.EndPipe();
|
||
// }
|
||
|
||
//}
|
||
|
||
#endregion
|
||
|
||
|
||
#region 公共处理方法
|
||
|
||
/// <summary>
|
||
/// 判断是否需要生成采集指令
|
||
/// </summary>
|
||
/// <param name="nextTaskTime"></param>
|
||
/// <param name="timeDensity"></param>
|
||
/// <returns></returns>
|
||
private bool IsTaskTime(DateTime nextTaskTime, int timeDensity = 0)
|
||
{
|
||
if (DateTime.Now.AddMinutes(timeDensity) >= nextTaskTime)
|
||
{
|
||
return true;
|
||
}
|
||
|
||
return false;
|
||
}
|
||
|
||
/// <summary>
|
||
/// 获取缓存表计下发指令缓存key前缀
|
||
/// </summary>
|
||
/// <param name="timeDensity"></param>
|
||
/// <param name="meterType"></param>
|
||
/// <returns></returns>
|
||
private string GetTelemetryPacketCacheKeyPrefix(int timeDensity, MeterTypeEnum meterType)
|
||
{
|
||
return $"{string.Format(RedisConst.CacheTelemetryPacketInfoHashKey, SystemType, ServerTagName, meterType, timeDensity)}*";
|
||
}
|
||
|
||
|
||
/// <summary>
|
||
/// 创建表的待发送的任务数据
|
||
/// </summary>
|
||
/// <param name="timeDensity">采集频率</param>
|
||
/// <param name="nextTaskTime">采集频率对应的任务时间戳</param>
|
||
/// <param name="meterType">表类型</param>
|
||
/// <param name="taskCreateAction">具体的创建任务的委托</param>
|
||
/// <returns></returns>
|
||
private async Task CreateMeterPublishTask<T>(int timeDensity, DateTime nextTaskTime, MeterTypeEnum meterType, Action<int, T, int, DateTime> taskCreateAction) where T : DeviceCacheBasicModel
|
||
{
|
||
var timer = Stopwatch.StartNew();
|
||
|
||
//获取对应频率中的所有电表信息
|
||
var redisCacheMeterInfoHashKeyTemp = $"{string.Format(RedisConst.CacheMeterInfoHashKey, SystemType, ServerTagName, meterType, timeDensity)}";
|
||
var redisCacheMeterInfoSetIndexKeyTemp = $"{string.Format(RedisConst.CacheMeterInfoSetIndexKey, SystemType, ServerTagName, meterType, timeDensity)}";
|
||
var redisCacheMeterInfoZSetScoresIndexKeyTemp = $"{string.Format(RedisConst.CacheMeterInfoZSetScoresIndexKey, SystemType, ServerTagName, meterType, timeDensity)}";
|
||
|
||
List<T> meterInfos = new List<T>();
|
||
decimal? cursor = null;
|
||
string member = null;
|
||
bool hasNext;
|
||
//do
|
||
//{
|
||
// var page = await _redisDataCacheService.GetAllPagedData<T>(
|
||
// redisCacheMeterInfoHashKeyTemp,
|
||
// redisCacheMeterInfoZSetScoresIndexKeyTemp,
|
||
// pageSize: 1000,
|
||
// lastScore: cursor,
|
||
// lastMember: member);
|
||
|
||
// meterInfos.AddRange(page.Items);
|
||
// cursor = page.HasNext ? page.NextScore : null;
|
||
// member = page.HasNext ? page.NextMember : null;
|
||
// hasNext = page.HasNext;
|
||
//} while (hasNext);
|
||
|
||
|
||
var page = await _redisDataCacheService.GetAllPagedData<T>(
|
||
redisCacheMeterInfoHashKeyTemp,
|
||
redisCacheMeterInfoZSetScoresIndexKeyTemp,
|
||
pageSize: 10,
|
||
lastScore: cursor,
|
||
lastMember: member);
|
||
meterInfos.AddRange(page.Items);
|
||
|
||
if (meterInfos == null || meterInfos.Count <= 0)
|
||
{
|
||
timer.Stop();
|
||
_logger.LogError($"{nameof(CreateMeterPublishTask)} {timeDensity}分钟采集待下发任务创建失败，没有获取到缓存信息,-105");
|
||
return;
|
||
}
|
||
|
||
await DeviceGroupBalanceControl.ProcessWithThrottleAsync(
|
||
items: meterInfos,
|
||
deviceIdSelector: data => data.FocusAddress,
|
||
processor: (data, groupIndex) =>
|
||
{
|
||
taskCreateAction(timeDensity, data, groupIndex, nextTaskTime);
|
||
}
|
||
);
|
||
|
||
timer.Stop();
|
||
_logger.LogInformation($"{nameof(CreateMeterPublishTask)} {meterType} {timeDensity}分钟采集待下发任务创建完成，耗时{timer.ElapsedMilliseconds}毫秒,总共{meterInfos.Count}表计信息");
|
||
}
|
||
|
||
|
||
/// <summary>
|
||
/// 创建Kafka消息
|
||
/// </summary>
|
||
/// <returns></returns>
|
||
private async Task CreateMeterKafkaTaskMessage<T>(int timeDensity, IoTDBQueryOptions options) where T : IoTEntity, new()
|
||
{
|
||
int pageNumber = 0;
|
||
bool hasNext;
|
||
var stopwatch = Stopwatch.StartNew();
|
||
do
|
||
{
|
||
options.PageIndex = pageNumber++;
|
||
|
||
var pageResult = await _dbProvider.QueryAsync<T>(options);
|
||
|
||
hasNext = pageResult.HasNext;
|
||
|
||
await DeviceGroupBalanceControl.ProcessWithThrottleAsync<T>(
|
||
items: pageResult.Items.ToList(),
|
||
deviceIdSelector: data => data.DeviceId,
|
||
processor: (data, groupIndex) =>
|
||
{
|
||
_ = KafkaProducerIssuedMessageAction(ProtocolConst.AmmeterSubscriberWorkerFifteenMinuteIssuedEventName, data, groupIndex);
|
||
}
|
||
);
|
||
|
||
} while (hasNext);
|
||
|
||
stopwatch.Stop();
|
||
_logger.LogError($"{nameof(CreateMeterKafkaTaskMessage)} {options.TableNameOrTreePath} {timeDensity}分钟采集任务推送完成，共消耗{stopwatch.ElapsedMilliseconds}毫秒。");
|
||
}
|
||
|
||
|
||
///// <summary>
|
||
///// 创建Kafka消息
|
||
///// </summary>
|
||
///// <param name="redisCacheTelemetryPacketInfoHashKey"></param>
|
||
///// <param name="redisCacheTelemetryPacketInfoZSetScoresIndexKey"></param>
|
||
///// <returns></returns>
|
||
//private async Task CreateMeterKafkaTaskMessage(
|
||
//string redisCacheTelemetryPacketInfoHashKey,
|
||
//string redisCacheTelemetryPacketInfoZSetScoresIndexKey)
|
||
//{
|
||
// if (string.IsNullOrWhiteSpace(redisCacheTelemetryPacketInfoHashKey) || string.IsNullOrWhiteSpace(redisCacheTelemetryPacketInfoHashKey))
|
||
// {
|
||
// throw new Exception($"{nameof(CreateMeterKafkaTaskMessage)} 创建Kafka消息失败，参数异常,-101");
|
||
// }
|
||
|
||
// decimal? cursor = null;
|
||
// string member = null;
|
||
// bool hasNext;
|
||
// var stopwatch = Stopwatch.StartNew();
|
||
// do
|
||
// {
|
||
// var page = await _redisDataCacheService.GetAllPagedData<MeterReadingTelemetryPacketInfo>(
|
||
// redisCacheTelemetryPacketInfoHashKey,
|
||
// redisCacheTelemetryPacketInfoZSetScoresIndexKey,
|
||
// pageSize: 1000,
|
||
// lastScore: cursor,
|
||
// lastMember: member);
|
||
|
||
// cursor = page.HasNext ? page.NextScore : null;
|
||
// member = page.HasNext ? page.NextMember : null;
|
||
// hasNext = page.HasNext;
|
||
|
||
// await DeviceGroupBalanceControl.ProcessWithThrottleAsync(
|
||
// items: page.Items,
|
||
// deviceIdSelector: data => data.FocusAddress,
|
||
// processor: (data, groupIndex) =>
|
||
// {
|
||
// _ = KafkaProducerIssuedMessageAction(ProtocolConst.AmmeterSubscriberWorkerFifteenMinuteIssuedEventName, data, groupIndex);
|
||
// }
|
||
// );
|
||
|
||
// } while (hasNext);
|
||
|
||
// stopwatch.Stop();
|
||
// _logger.LogError($"{nameof(CreateMeterKafkaTaskMessage)} {redisCacheTelemetryPacketInfoHashKey}采集推送完成，共消耗{stopwatch.ElapsedMilliseconds}毫秒。");
|
||
//}
|
||
|
||
/// <summary>
|
||
/// Kafka 推送消息
|
||
/// </summary>
|
||
/// <param name="topicName">主题名称</param>
|
||
/// <param name="taskRecord">任务记录</param>
|
||
/// <param name="partition">对应分区，也就是集中器号所在的分组序号</param>
|
||
/// <returns></returns>
|
||
private async Task KafkaProducerIssuedMessageAction<T>(string topicName,
|
||
T taskRecord, int partition) where T : class
|
||
{
|
||
if (string.IsNullOrWhiteSpace(topicName) || taskRecord == null)
|
||
{
|
||
throw new Exception($"{nameof(KafkaProducerIssuedMessageAction)} 推送消息失败，参数异常,-101");
|
||
}
|
||
|
||
await _producerService.ProduceAsync<T>(topicName, taskRecord, partition);
|
||
}
|
||
|
||
#endregion
|
||
|
||
}
|
||
}
|