2022-10-14 16:08:54 +08:00
using Backend.Models ;
using BackendWorkerService.Services.Implement ;
2023-05-04 16:45:05 +08:00
using Dapper ;
2022-10-14 16:08:54 +08:00
using Microsoft.Extensions.Configuration ;
using Microsoft.Extensions.Logging ;
using Microsoft.Extensions.Options ;
using Newtonsoft.Json ;
using Newtonsoft.Json.Linq ;
2024-02-05 13:24:01 +08:00
using NPOI.SS.Formula.Functions ;
2022-10-14 16:08:54 +08:00
using Quartz ;
using Repository.BackendRepository.Interface ;
using Repository.Helper ;
using System ;
using System.Collections.Generic ;
using System.Diagnostics ;
using System.IO ;
using System.Linq ;
using System.Net ;
using System.Text ;
using System.Threading.Tasks ;
using System.Xml ;
namespace BackendWorkerService.Quartz.Jobs
{
[DisallowConcurrentExecution]
class ArchiveElectricMeterDayJob : IJob
{
private readonly ILogger < ArchiveElectricMeterDayJob > logger ;
private readonly IBackgroundServiceRepository backgroundServiceRepository ;
2023-05-04 16:45:05 +08:00
private readonly IBackgroundServiceMsSqlRepository backgroundServiceMsSqlRepository ;
2022-10-14 16:08:54 +08:00
protected readonly IDatabaseHelper _databaseHelper ;
private readonly ILogger < Task_Detail > loggers ;
public ArchiveElectricMeterDayJob (
ILogger < ArchiveElectricMeterDayJob > logger ,
IBackgroundServiceRepository backgroundServiceRepository ,
2023-05-04 16:45:05 +08:00
IBackgroundServiceMsSqlRepository backgroundServiceMySqlRepository ,
2022-10-14 16:08:54 +08:00
IDatabaseHelper databaseHelper , ILogger < Task_Detail > loggers , IBackendRepository backendRepository )
{
this . logger = logger ;
this . backgroundServiceRepository = backgroundServiceRepository ;
2023-05-04 16:45:05 +08:00
this . backgroundServiceMsSqlRepository = backgroundServiceMySqlRepository ;
2022-10-14 16:08:54 +08:00
this . _databaseHelper = databaseHelper ;
this . loggers = loggers ;
}
public async Task Execute ( IJobExecutionContext context )
{
Task_Detail task_Detail = new Task_Detail ( loggers , backgroundServiceRepository ) ;
2023-07-14 12:22:57 +08:00
string device_number = string . Empty ;
2022-10-14 16:08:54 +08:00
try
{
2024-01-31 14:09:47 +08:00
if ( await task_Detail . GetNeedWorkTask ( "ArchiveElectricMeterDayJob" , "All" ) )
2022-10-14 16:08:54 +08:00
{
await task_Detail . InsertWorkTime ( "ArchiveElectricMeterDayJob" , "All" , "任務開始" ) ;
EDFunction ed = new EDFunction ( ) ;
XmlDocument xmlDocument = new XmlDocument ( ) ;
2023-06-07 12:18:46 +08:00
ServicePointManager . DefaultConnectionLimit = 10 ;
2022-10-14 16:08:54 +08:00
var sqlArchive = $@"SELECT system_value as Value, system_key as Name FROM variable WHERE deleted = 0 AND system_type = 'archiveConfig'" ;
2023-05-29 16:21:41 +08:00
var saveToMSDB = await backgroundServiceRepository . GetOneAsync < string > ( "select system_value from variable where system_type = 'save_to_ms_db' and deleted = 0" ) ;
2022-10-14 16:08:54 +08:00
var variableArchive = await backgroundServiceRepository . GetAllAsync < KeyValue > ( sqlArchive ) ;
var electricMeterGuid = variableArchive . Where ( x = > x . Name = = "ElectricMeterGuid" ) . Select ( x = > x . Value ) . FirstOrDefault ( ) ;
2023-05-10 18:06:02 +08:00
var waterMeterGuid = variableArchive . Where ( x = > x . Name = = "WaterMeterGuid" ) . Select ( x = > x . Value ) . FirstOrDefault ( ) ;
2023-08-10 10:31:44 +08:00
string station = string . Empty ;
string tagQuantity = await backgroundServiceRepository . GetOneAsync < string > ( "select system_value from variable where system_type = 'obixConfig' and system_key = 'tag_quantity' and deleted = 0;" ) ;
2022-10-14 16:08:54 +08:00
2023-06-07 12:18:46 +08:00
#region http variable
HttpWebRequest archiveRequest = null ;
HttpWebResponse archiveResponse = null ;
string archiveResponseContent = null ;
string archiveJson = null ;
JObject archiveJsonResult = new JObject ( ) ;
#endregion
2022-10-14 16:08:54 +08:00
#region 找 出 所 有 電 錶 設 備
2023-05-04 16:45:05 +08:00
var sWhere = "deleted = 0 AND device_name_tag = @sub_system_guid" ;
2022-10-14 16:08:54 +08:00
var electricMeters = await backgroundServiceRepository . GetAllAsync < Device > ( "device" , sWhere , new { sub_system_guid = electricMeterGuid } ) ;
2023-05-10 18:06:02 +08:00
var waterMeters = await backgroundServiceRepository . GetAllAsync < Device > ( "device" , sWhere , new { sub_system_guid = waterMeterGuid } ) ;
2022-10-14 16:08:54 +08:00
#endregion 找 出 所 有 電 錶 設 備
#region 找 出 所 有 電 錶 系 統 的 點 位
2024-01-31 14:09:47 +08:00
var sPointWhere = "is_needArchive = 1 and deleted = 0 AND device_name_tag = @sub_system_guid" ;
2023-05-10 18:06:02 +08:00
var electricPoints = await backgroundServiceRepository . GetAllAsync < Device_item > ( "device_item" , sPointWhere , new { sub_system_guid = electricMeterGuid } ) ;
var waterPoints = await backgroundServiceRepository . GetAllAsync < Device_item > ( "device_item" , sPointWhere , new { sub_system_guid = waterMeterGuid } ) ;
2022-10-14 16:08:54 +08:00
#endregion 找 出 所 有 電 錶 系 統 的 點 位
#region 組 合 出 所 有 電 錶 設 備 點 位
2023-05-10 18:06:02 +08:00
List < DeviceNumberPoint > electricDeviceNumberPoints = new List < DeviceNumberPoint > ( ) ;
2022-10-14 16:08:54 +08:00
foreach ( var electricMeter in electricMeters )
{
2023-05-10 18:06:02 +08:00
foreach ( var point in electricPoints )
2022-10-14 16:08:54 +08:00
{
2023-06-07 16:45:00 +08:00
if ( electricMeter . device_building_tag = = point . device_building_tag )
{
DeviceNumberPoint deviceNumberPoint = new DeviceNumberPoint ( ) ;
deviceNumberPoint . DeviceNumber = electricMeter . Device_number ;
deviceNumberPoint . Point = point . points ;
deviceNumberPoint . FullDeviceNumberPoint = string . Format ( "{0}_{1}" , electricMeter . Device_number , point . points ) ;
2024-01-31 14:09:47 +08:00
deviceNumberPoint . archive_lastDate = electricMeter . archive_lastDate ;
2023-06-07 16:45:00 +08:00
electricDeviceNumberPoints . Add ( deviceNumberPoint ) ;
}
2023-05-10 18:06:02 +08:00
}
}
#endregion 組 合 出 所 有 電 錶 設 備 點 位
#region 組 合 出 所 有 水 錶 設 備 點 位
List < DeviceNumberPoint > waterDeviceNumberPoints = new List < DeviceNumberPoint > ( ) ;
foreach ( var waterMeter in waterMeters )
{
foreach ( var point in waterPoints )
{
2023-06-07 16:45:00 +08:00
if ( waterMeter . device_building_tag = = point . device_building_tag )
{
DeviceNumberPoint deviceNumberPoint = new DeviceNumberPoint ( ) ;
deviceNumberPoint . DeviceNumber = waterMeter . Device_number ;
deviceNumberPoint . Point = point . points ;
deviceNumberPoint . FullDeviceNumberPoint = string . Format ( "{0}_{1}" , waterMeter . Device_number , point . points ) ;
2024-01-31 14:09:47 +08:00
deviceNumberPoint . archive_lastDate = waterMeter . archive_lastDate ;
2023-05-10 18:06:02 +08:00
2023-06-07 16:45:00 +08:00
waterDeviceNumberPoints . Add ( deviceNumberPoint ) ;
}
2022-10-14 16:08:54 +08:00
}
}
#endregion 組 合 出 所 有 電 錶 設 備 點 位
#region 取 得 obix 設 定
var obixApiConfig = new ObixApiConfig ( ) ;
var sqlObix = $@"SELECT system_value as Value, system_key as Name FROM variable WHERE deleted = 0 AND system_type = 'obixConfig'" ;
var variableObix = await backgroundServiceRepository . GetAllAsync < KeyValue > ( sqlObix ) ;
obixApiConfig . ApiBase = variableObix . Where ( x = > x . Name = = "ApiBase" ) . Select ( x = > x . Value ) . FirstOrDefault ( ) ;
obixApiConfig . UserName = ed . AESDecrypt ( variableObix . Where ( x = > x . Name = = "UserName" ) . Select ( x = > x . Value ) . FirstOrDefault ( ) ) ;
obixApiConfig . Password = ed . AESDecrypt ( variableObix . Where ( x = > x . Name = = "Password" ) . Select ( x = > x . Value ) . FirstOrDefault ( ) ) ;
String encoded = System . Convert . ToBase64String ( System . Text . Encoding . GetEncoding ( "ISO-8859-1" ) . GetBytes ( obixApiConfig . UserName + ":" + obixApiConfig . Password ) ) ;
#endregion 取 得 obix 設 定
var now = DateTime . Now ;
#region 天 歸 檔
if ( await task_Detail . GetNeedWorkTask ( "ArchiveElectricMeterDayJob" , "Day" ) )
{
try
{
2024-02-05 13:24:01 +08:00
2023-06-06 16:43:46 +08:00
await task_Detail . InsertWorkTime ( "ArchiveElectricMeterDayJob" , "Day" , "水電表天任務開始" ) ;
2024-02-01 15:06:59 +08:00
var preDay = now . AddDays ( - 1 ) ; //取得前一天
var dbDateName = preDay . Year . ToString ( ) . PadLeft ( 4 , '0' ) + preDay . Month . ToString ( ) . PadLeft ( 2 , '0' ) ;
2024-01-31 14:09:47 +08:00
//var startTimestamp = string.Format("{0}T00:00:00.000+08:00", preDay.ToString("yyyy-MM-dd"));
//var endTimestamp = string.Format("{0}T23:59:59.000+08:00", preDay.ToString("yyyy-MM-dd"));
//var historyQueryFilter = $@"<obj is='obix: HistoryFilter'>
// <abstime name='start' val='{startTimestamp}' />
// <abstime name='end' val='{endTimestamp}' />
// <reltime name='interval' val = 'PT1D' />
// </obj>";
2022-10-14 16:08:54 +08:00
//Stopwatch stopWatch = new Stopwatch();
//stopWatch.Start();
2024-02-01 15:06:59 +08:00
#region 從 前 次 成 功 日 期 到 昨 天 為 止
2022-10-14 16:08:54 +08:00
//抓取每個設備的資料
2023-05-10 18:06:02 +08:00
List < Dictionary < string , object > > electericArchiveDayRawDatas = new List < Dictionary < string , object > > ( ) ;
List < Dictionary < string , object > > waterArchiveDayRawDatas = new List < Dictionary < string , object > > ( ) ;
foreach ( var deviceNumberPoint in electricDeviceNumberPoints )
2022-10-14 16:08:54 +08:00
{
2024-01-31 14:09:47 +08:00
var startDay = deviceNumberPoint . archive_lastDate . ToString ( "yyyy-MM-dd" ) ;
var endDay = System . DateTime . Now . AddDays ( - 1 ) . ToString ( "yyyy-MM-dd" ) ;
foreach ( DateTime day in EachDay ( startDay , endDay ) )
{
2024-02-05 11:10:32 +08:00
var sDay = string . Format ( "{0}T00:00:00.000+08:00" , day . ToString ( "yyyy-MM-dd" ) . Replace ( " " , "T" ) ) ; // 巨蛋用此時間抓到的實際是T00:15:00的資料
//var sDay = string.Format("{0}T23:59:59.000+08:00", day.AddDays(-1).ToString("yyyy-MM-dd").Replace(" ", "T")); // 巨蛋用此時間抓到的實際是T00:00:00的資料
2024-02-01 15:06:59 +08:00
2024-02-05 11:10:32 +08:00
var eDay = string . Format ( "{0}T00:15:00.000+08:00" , day . AddDays ( 1 ) . ToString ( "yyyy-MM-dd" ) . Replace ( " " , "T" ) ) ;
2024-01-31 14:09:47 +08:00
string historyQueryFilter = $ @ "<obj is='obix: HistoryFilter'>
< abstime name = ' start ' val = ' { sDay } ' / >
< abstime name = ' end ' val = ' { eDay } ' / >
< reltime name = ' interval ' val = ' PT2D ' / >
< / obj > ";
device_number = deviceNumberPoint . FullDeviceNumberPoint ;
if ( tagQuantity . Equals ( "5" ) )
station = await backgroundServiceRepository . GetOneAsync < string > ( $ @ "select parent_path from import_niagara_item_history
2023-08-10 10:31:44 +08:00
where device_building_tag = ' { device_number . Split ( "_" ) [ 0 ] } ' and device_floor_tag = ' { device_number . Split ( "_" ) [ 2 ] } '
and device_name_tag = ' { device_number . Split ( "_" ) [ 1 ] } ' and device_point_name = ' { device_number . Split ( "_" ) [ 5 ] } ' ");
2024-01-31 14:09:47 +08:00
else
station = backgroundServiceRepository . GetOneAsync < string > ( $ @ "select parent_path from import_niagara_item_history
2023-08-10 10:31:44 +08:00
where device_building_tag = ' { device_number . Split ( "_" ) [ 1 ] . Replace ( "$3" , "" ) } ' and
device_system_tag = ' { device_number . Split ( "_" ) [ 2 ] } ' and device_name_tag = ' { device_number . Split ( "_" ) [ 3 ] } '
and device_floor_tag = ' { device_number . Split ( "_" ) [ 4 ] } ' and device_master_tag = ' { device_number . Split ( "_" ) [ 5 ] } '
and device_last_name_tag = ' { device_number . Split ( "_" ) [ 6 ] } ' and device_serial_tag = ' { device_number . Split ( "_" ) [ 7 ] } '
and device_point_name = ' { device_number . Split ( "_" ) [ 8 ] } ' ").Result;
2024-01-31 14:09:47 +08:00
archiveRequest = ( HttpWebRequest ) WebRequest . Create ( $"{obixApiConfig.ApiBase}obix/histories/{station}/{deviceNumberPoint.FullDeviceNumberPoint.Replace(" $ 3 ", " ")}/~historyRollup/" ) ;
//HttpWebRequest archiveDayRequest = (HttpWebRequest)WebRequest.Create($"{obixApiConfig.ApiBase}obix/histories/{station}/H_E1_B1F_MVCB_MVCBH_V1/~historyRollup/");
archiveRequest . Method = "POST" ;
archiveRequest . Headers . Add ( "Authorization" , "Basic " + encoded ) ;
archiveRequest . PreAuthenticate = true ;
byte [ ] byteArray = Encoding . UTF8 . GetBytes ( historyQueryFilter ) ;
using ( Stream reqStream = archiveRequest . GetRequestStream ( ) )
{
reqStream . Write ( byteArray , 0 , byteArray . Length ) ;
}
2022-10-14 16:08:54 +08:00
2024-01-31 14:09:47 +08:00
archiveResponse = ( HttpWebResponse ) archiveRequest . GetResponse ( ) ;
archiveResponseContent = new StreamReader ( archiveResponse . GetResponseStream ( ) ) . ReadToEnd ( ) ;
archiveResponse . Dispose ( ) ;
archiveResponse . Close ( ) ;
2023-06-08 09:55:44 +08:00
2024-01-31 14:09:47 +08:00
xmlDocument . LoadXml ( archiveResponseContent ) ;
archiveJson = JsonConvert . SerializeXmlNode ( xmlDocument ) ;
archiveJsonResult = ( JObject ) JsonConvert . DeserializeObject ( archiveJson ) ;
2022-10-14 16:08:54 +08:00
2024-01-31 14:09:47 +08:00
if ( archiveJsonResult . ContainsKey ( "err" ) ) //抓取錯誤
{
//logger.LogError("【ArchiveElectricMeterDayJob】【天歸檔】【取得資料失敗】");
//logger.LogError("【ArchiveElectricMeterDayJob】【天歸檔】【取得資料失敗】[錯誤內容]：
Dictionary < string , object > archiveDayRawData = new Dictionary < string , object > ( ) ;
archiveDayRawData . Add ( "@device_number" , deviceNumberPoint . DeviceNumber ) ;
archiveDayRawData . Add ( "@point" , deviceNumberPoint . Point ) ;
archiveDayRawData . Add ( "@start_timestamp" , sDay . Replace ( "T" , " " ) . Substring ( 0 , 19 ) ) ;
archiveDayRawData . Add ( "@end_timestamp" , eDay . Replace ( "T" , " " ) . Substring ( 0 , 19 ) ) ;
archiveDayRawData . Add ( "@is_complete" , 0 ) ;
archiveDayRawData . Add ( "@repeat_times" , 0 ) ;
archiveDayRawData . Add ( "@fail_reason" , archiveJson ) ;
archiveDayRawData . Add ( "@count_rawdata" , 0 ) ;
archiveDayRawData . Add ( "@min_rawdata" , 0 ) ;
archiveDayRawData . Add ( "@max_rawdata" , 0 ) ;
archiveDayRawData . Add ( "@avg_rawdata" , 0 ) ;
archiveDayRawData . Add ( "@sum_rawdata" , 0 ) ;
archiveDayRawData . Add ( "@updated_at" , DateTime . Now . ToString ( "yyyy-MM-dd HH:mm:ss" ) ) ;
electericArchiveDayRawDatas . Add ( archiveDayRawData ) ;
}
2022-10-14 16:08:54 +08:00
2024-01-31 14:09:47 +08:00
if ( archiveJsonResult . ContainsKey ( "obj" ) ) //表示可以讀取到內容
2022-10-14 16:08:54 +08:00
{
2024-01-31 14:09:47 +08:00
var ArrangeRawDatas = ArrangeRawData ( deviceNumberPoint , archiveJsonResult ) ;
if ( ArrangeRawDatas ! = null & & ArrangeRawDatas . Count ( ) > 0 )
{
electericArchiveDayRawDatas . AddRange ( ArrangeRawDatas ) ;
}
2023-05-10 18:06:02 +08:00
}
}
}
foreach ( var deviceNumberPoint in waterDeviceNumberPoints )
{
2024-01-31 14:09:47 +08:00
var startDay = deviceNumberPoint . archive_lastDate . ToString ( "yyyy-MM-dd" ) ;
2024-02-01 15:06:59 +08:00
var endDay = System . DateTime . Now . AddDays ( - 1 ) . ToString ( "yyyy-MM-dd" ) ;
2024-01-31 14:09:47 +08:00
foreach ( DateTime day in EachDay ( startDay , endDay ) )
{
2024-02-05 11:10:32 +08:00
var sDay = string . Format ( "{0}T00:00:00.000+08:00" , day . ToString ( "yyyy-MM-dd" ) . Replace ( " " , "T" ) ) ; // 巨蛋用此時間抓到的實際是T00:15:00的資料
//var sDay = string.Format("{0}T23:59:59.000+08:00", day.AddDays(-1).ToString("yyyy-MM-dd").Replace(" ", "T")); // 巨蛋用此時間抓到的實際是T00:00:00的資料
2024-02-01 15:06:59 +08:00
2024-02-05 11:10:32 +08:00
var eDay = string . Format ( "{0}T00:15:00.000+08:00" , day . AddDays ( 1 ) . ToString ( "yyyy-MM-dd" ) . Replace ( " " , "T" ) ) ;
2024-01-31 14:09:47 +08:00
string historyQueryFilter = $ @ "<obj is='obix: HistoryFilter'>
< abstime name = ' start ' val = ' { sDay } ' / >
< abstime name = ' end ' val = ' { eDay } ' / >
< reltime name = ' interval ' val = ' PT2D ' / >
< / obj > ";
device_number = deviceNumberPoint . FullDeviceNumberPoint ;
if ( tagQuantity . Equals ( "5" ) )
station = await backgroundServiceRepository . GetOneAsync < string > ( $ @ "select parent_path from import_niagara_item_history
2023-08-10 10:31:44 +08:00
where device_building_tag = ' { device_number . Split ( "_" ) [ 0 ] } ' and device_floor_tag = ' { device_number . Split ( "_" ) [ 2 ] } '
and device_name_tag = ' { device_number . Split ( "_" ) [ 1 ] } ' and device_point_name = ' { device_number . Split ( "_" ) [ 5 ] } ' ");
2024-01-31 14:09:47 +08:00
else
station = backgroundServiceRepository . GetOneAsync < string > ( $ @ "select parent_path from import_niagara_item_history
2023-08-10 10:31:44 +08:00
where device_building_tag = ' { device_number . Split ( "_" ) [ 1 ] . Replace ( "$3" , "" ) } ' and
device_system_tag = ' { device_number . Split ( "_" ) [ 2 ] } ' and device_name_tag = ' { device_number . Split ( "_" ) [ 3 ] } '
and device_floor_tag = ' { device_number . Split ( "_" ) [ 4 ] } ' and device_master_tag = ' { device_number . Split ( "_" ) [ 5 ] } '
and device_last_name_tag = ' { device_number . Split ( "_" ) [ 6 ] } ' and device_serial_tag = ' { device_number . Split ( "_" ) [ 7 ] } '
and device_point_name = ' { device_number . Split ( "_" ) [ 8 ] } ' ").Result;
2024-01-31 14:09:47 +08:00
archiveRequest = ( HttpWebRequest ) WebRequest . Create ( $"{obixApiConfig.ApiBase}obix/histories/{station}/{deviceNumberPoint.FullDeviceNumberPoint.Replace(" $ 3 ", " ")}/~historyRollup/" ) ;
//HttpWebRequest archiveDayRequest = (HttpWebRequest)WebRequest.Create($"{obixApiConfig.ApiBase}obix/histories/{station}/H_E1_B1F_MVCB_MVCBH_V1/~historyRollup/");
archiveRequest . Method = "POST" ;
archiveRequest . Headers . Add ( "Authorization" , "Basic " + encoded ) ;
archiveRequest . PreAuthenticate = true ;
2023-06-08 09:55:44 +08:00
2023-05-10 18:06:02 +08:00
2024-01-31 14:09:47 +08:00
byte [ ] byteArray = Encoding . UTF8 . GetBytes ( historyQueryFilter ) ;
using ( Stream reqStream = archiveRequest . GetRequestStream ( ) )
{
reqStream . Write ( byteArray , 0 , byteArray . Length ) ;
}
2023-05-10 18:06:02 +08:00
2024-01-31 14:09:47 +08:00
archiveResponse = ( HttpWebResponse ) archiveRequest . GetResponse ( ) ;
archiveResponseContent = new StreamReader ( archiveResponse . GetResponseStream ( ) ) . ReadToEnd ( ) ;
archiveResponse . Dispose ( ) ;
archiveResponse . Close ( ) ;
2023-05-10 18:06:02 +08:00
2024-01-31 14:09:47 +08:00
xmlDocument . LoadXml ( archiveResponseContent ) ;
archiveJson = JsonConvert . SerializeXmlNode ( xmlDocument ) ;
archiveJsonResult = ( JObject ) JsonConvert . DeserializeObject ( archiveJson ) ;
2023-05-10 18:06:02 +08:00
2024-01-31 14:09:47 +08:00
if ( archiveJsonResult . ContainsKey ( "err" ) ) //抓取錯誤
{
//logger.LogError("【ArchiveElectricMeterDayJob】【天歸檔】【取得資料失敗】");
//logger.LogError("【ArchiveElectricMeterDayJob】【天歸檔】【取得資料失敗】[錯誤內容]：
Dictionary < string , object > archiveDayRawData = new Dictionary < string , object > ( ) ;
archiveDayRawData . Add ( "@device_number" , deviceNumberPoint . DeviceNumber ) ;
archiveDayRawData . Add ( "@point" , deviceNumberPoint . Point ) ;
archiveDayRawData . Add ( "@start_timestamp" , sDay . Replace ( "T" , " " ) . Substring ( 0 , 19 ) ) ;
archiveDayRawData . Add ( "@end_timestamp" , eDay . Replace ( "T" , " " ) . Substring ( 0 , 19 ) ) ;
archiveDayRawData . Add ( "@is_complete" , 0 ) ;
archiveDayRawData . Add ( "@repeat_times" , 0 ) ;
archiveDayRawData . Add ( "@fail_reason" , archiveJson ) ;
archiveDayRawData . Add ( "@count_rawdata" , 0 ) ;
archiveDayRawData . Add ( "@min_rawdata" , 0 ) ;
archiveDayRawData . Add ( "@max_rawdata" , 0 ) ;
archiveDayRawData . Add ( "@avg_rawdata" , 0 ) ;
archiveDayRawData . Add ( "@sum_rawdata" , 0 ) ;
archiveDayRawData . Add ( "@updated_at" , DateTime . Now . ToString ( "yyyy-MM-dd HH:mm:ss" ) ) ;
waterArchiveDayRawDatas . Add ( archiveDayRawData ) ;
}
2023-05-10 18:06:02 +08:00
2024-01-31 14:09:47 +08:00
if ( archiveJsonResult . ContainsKey ( "obj" ) ) //表示可以讀取到內容
2023-05-10 18:06:02 +08:00
{
2024-01-31 14:09:47 +08:00
var ArrangeRawDatas = ArrangeRawData ( deviceNumberPoint , archiveJsonResult ) ;
if ( ArrangeRawDatas ! = null & & ArrangeRawDatas . Count ( ) > 0 )
{
waterArchiveDayRawDatas . AddRange ( ArrangeRawDatas ) ;
}
2022-10-14 16:08:54 +08:00
}
}
}
2024-02-01 15:06:59 +08:00
#endregion
2022-10-14 16:08:54 +08:00
//stopWatch.Stop();
//logger.LogInformation("【ArchiveElectricMeterDayJob】【天歸檔】【效能檢驗】[取得資料花費時間]{0} 毫秒", stopWatch.ElapsedMilliseconds);
2023-05-10 18:06:02 +08:00
if ( electericArchiveDayRawDatas . Count ( ) > 0 )
2022-10-14 16:08:54 +08:00
{
2024-02-05 11:10:32 +08:00
foreach ( var row in electericArchiveDayRawDatas )
{
row . TryGetValue ( "@start_timestamp" , out var yyyymmData ) ;
dbDateName = System . DateTime . Parse ( yyyymmData . ToString ( ) ) . ToString ( "yyyyMM" ) ;
var sql = $ @ "CREATE TABLE IF NOT EXISTS `archive_electric_water_meter_day_{dbDateName}` (
2023-05-29 16:21:41 +08:00
` device_number ` varchar ( 50 ) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL ,
` point ` varchar ( 20 ) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL ,
` start_timestamp ` datetime ( 6 ) NOT NULL ,
` end_timestamp ` datetime ( 6 ) NULL DEFAULT NULL ,
` count_rawdata ` int ( 11 ) NULL DEFAULT NULL ,
` min_rawdata ` decimal ( 15 , 3 ) NULL DEFAULT NULL ,
` max_rawdata ` decimal ( 15 , 3 ) NULL DEFAULT NULL ,
2024-01-31 14:09:47 +08:00
` sub_result ` decimal ( 15 , 3 ) NULL DEFAULT NULL ,
2023-05-29 16:21:41 +08:00
` avg_rawdata ` decimal ( 15 , 3 ) NULL DEFAULT NULL ,
` sum_rawdata ` decimal ( 15 , 3 ) NULL DEFAULT NULL ,
` is_complete ` tinyint ( 3 ) UNSIGNED NULL DEFAULT NULL COMMENT ' 是 否 完 成 ， 0 : 未 完 成 1 : 完 成 ' ,
` repeat_times ` int ( 11 ) NULL DEFAULT 0 COMMENT ' 重 複 次 數 ' ,
` fail_reason ` varchar ( 4000 ) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT ' 失 敗 原 因 ' ,
` created_at ` timestamp NULL DEFAULT CURRENT_TIMESTAMP ,
` updated_at ` datetime ( 6 ) NULL DEFAULT NULL ,
PRIMARY KEY ( ` device_number ` , ` point ` , ` start_timestamp ` ) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = DYNAMIC ;
SET FOREIGN_KEY_CHECKS = 1 ;
2024-01-31 14:09:47 +08:00
UPDATE archive_electric_water_meter_day_ { dbDateName } SET
2023-05-04 16:45:05 +08:00
count_rawdata = @count_rawdata ,
min_rawdata = @min_rawdata ,
max_rawdata = @max_rawdata ,
2024-01-31 14:09:47 +08:00
sub_result = @max_rawdata - @min_rawdata ,
2023-05-04 16:45:05 +08:00
avg_rawdata = @avg_rawdata ,
sum_rawdata = @sum_rawdata ,
is_complete = @is_complete ,
repeat_times = @repeat_times ,
fail_reason = @fail_reason ,
updated_at = @updated_at
WHERE device_number = @device_number
AND point = @point
AND start_timestamp = @start_timestamp ;
2024-01-31 14:09:47 +08:00
INSERT INTO archive_electric_water_meter_day_ { dbDateName } (
2023-05-04 16:45:05 +08:00
device_number ,
point ,
start_timestamp ,
end_timestamp ,
count_rawdata ,
min_rawdata ,
max_rawdata ,
2024-01-31 14:09:47 +08:00
sub_result ,
2023-05-04 16:45:05 +08:00
avg_rawdata ,
sum_rawdata ,
is_complete ,
repeat_times ,
fail_reason )
SELECT
@device_number ,
@point ,
@start_timestamp ,
@end_timestamp ,
@count_rawdata ,
@min_rawdata ,
@max_rawdata ,
2023-08-09 12:40:25 +08:00
@max_rawdata - @min_rawdata ,
2023-05-04 16:45:05 +08:00
@avg_rawdata ,
@sum_rawdata ,
@is_complete ,
@repeat_times ,
@fail_reason
2024-01-31 14:09:47 +08:00
WHERE ROW_COUNT ( ) = 0 ;
update device set archive_lastDate = @start_timestamp , archive_lastActionDate = @updated_at
where device_number = @device_number ; "; //archive_lastDate 前次完成時間 ，
2023-05-04 16:45:05 +08:00
2024-02-05 11:10:32 +08:00
var mySql = $ @ "BEGIN TRANSACTION;
2024-01-31 14:09:47 +08:00
IF OBJECT_ID ( N ' dbo . archive_electric_water_meter_day_ { dbDateName } ' , N 'U' ) is null
2023-05-29 16:21:41 +08:00
BEGIN
2024-01-31 14:09:47 +08:00
CREATE TABLE [ dbo ] . [ archive_electric_water_meter_day_ { dbDateName } ] (
[device_number] [ varchar ] ( 50 ) NOT NULL ,
[point] [ varchar ] ( 20 ) NOT NULL ,
[start_timestamp] [ datetime ] NOT NULL ,
[end_timestamp] [ datetime ] NULL ,
[count_rawdata] [ int ] NULL ,
[min_rawdata] [ decimal ] ( 15 , 3 ) NULL ,
[max_rawdata] [ decimal ] ( 15 , 3 ) NULL ,
[sub_result] [ decimal ] ( 15 , 3 ) NULL ,
[avg_rawdata] [ decimal ] ( 15 , 3 ) NULL ,
[sum_rawdata] [ decimal ] ( 15 , 3 ) NULL ,
[is_complete] [ tinyint ] NULL ,
[repeat_times] [ int ] NULL ,
[fail_reason] [ nvarchar ] ( max ) NULL ,
[created_at] [ datetime ] NULL ,
[updated_at] [ datetime ] NULL ,
CONSTRAINT [ PK_archive_electric_water_meter_day_ { dbDateName } ] PRIMARY KEY CLUSTERED
2023-05-29 16:21:41 +08:00
(
2024-01-31 14:09:47 +08:00
[device_number] ASC ,
[point] ASC ,
[start_timestamp] ASC
2023-05-29 16:21:41 +08:00
) WITH ( PAD_INDEX = OFF , STATISTICS_NORECOMPUTE = OFF , IGNORE_DUP_KEY = OFF , ALLOW_ROW_LOCKS = ON , ALLOW_PAGE_LOCKS = ON , OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF ) ON [ PRIMARY ]
) ON [ PRIMARY ] TEXTIMAGE_ON [ PRIMARY ]
2024-01-31 14:09:47 +08:00
ALTER TABLE [ dbo ] . [ archive_electric_water_meter_day_ { dbDateName } ] ADD CONSTRAINT [ DF_archive_electric_water_meter_day_ { dbDateName } _repeat_times ] DEFAULT ( ( 0 ) ) FOR [ repeat_times ]
2023-05-29 16:21:41 +08:00
2024-01-31 14:09:47 +08:00
ALTER TABLE [ dbo ] . [ archive_electric_water_meter_day_ { dbDateName } ] ADD CONSTRAINT [ DF_archive_electric_water_meter_day_ { dbDateName } _created_at ] DEFAULT ( getdate ( ) ) FOR [ created_at ]
2023-05-29 16:21:41 +08:00
2024-01-31 14:09:47 +08:00
ALTER TABLE [ dbo ] . [ archive_electric_water_meter_day_ { dbDateName } ] ADD CONSTRAINT [ DF_archive_electric_water_meter_day_ { dbDateName } _updated_at ] DEFAULT ( NULL ) FOR [ updated_at ]
2023-05-29 16:21:41 +08:00
2024-01-31 14:09:47 +08:00
EXEC sys . sp_addextendedproperty @name = N ' MS_Description ' , @value = N ' 是 否 完 成 ， 0 : 未 完 成 1 : 完 成 ' , @level0type = N ' SCHEMA ' , @level0name = N ' dbo ' , @level1type = N ' TABLE ' , @level1name = N ' archive_electric_water_meter_day_ { dbDateName } ' , @level2type = N ' COLUMN ' , @level2name = N ' is_complete '
2023-05-29 16:21:41 +08:00
2024-01-31 14:09:47 +08:00
EXEC sys . sp_addextendedproperty @name = N ' MS_Description ' , @value = N ' 重 複 次 數 ' , @level0type = N ' SCHEMA ' , @level0name = N ' dbo ' , @level1type = N ' TABLE ' , @level1name = N ' archive_electric_water_meter_day_ { dbDateName } ' , @level2type = N ' COLUMN ' , @level2name = N ' repeat_times '
2023-05-29 16:21:41 +08:00
2024-01-31 14:09:47 +08:00
EXEC sys . sp_addextendedproperty @name = N ' MS_Description ' , @value = N ' 失 敗 原 因 ' , @level0type = N ' SCHEMA ' , @level0name = N ' dbo ' , @level1type = N ' TABLE ' , @level1name = N ' archive_electric_water_meter_day_ { dbDateName } ' , @level2type = N ' COLUMN ' , @level2name = N ' fail_reason '
2023-05-29 16:21:41 +08:00
END
2022-10-14 16:08:54 +08:00
2024-01-31 14:09:47 +08:00
UPDATE archive_electric_water_meter_day_ { dbDateName } SET
2022-10-14 16:08:54 +08:00
count_rawdata = @count_rawdata ,
min_rawdata = @min_rawdata ,
max_rawdata = @max_rawdata ,
2024-01-31 14:09:47 +08:00
sub_result = @max_rawdata - @min_rawdata ,
2022-10-14 16:08:54 +08:00
avg_rawdata = @avg_rawdata ,
sum_rawdata = @sum_rawdata ,
is_complete = @is_complete ,
repeat_times = @repeat_times ,
fail_reason = @fail_reason ,
updated_at = @updated_at
WHERE device_number = @device_number
AND point = @point
AND start_timestamp = @start_timestamp ;
IF @ @ROWCOUNT = 0
BEGIN
2024-01-31 14:09:47 +08:00
INSERT INTO archive_electric_water_meter_day_ { dbDateName } (
2022-10-14 16:08:54 +08:00
device_number ,
point ,
start_timestamp ,
end_timestamp ,
count_rawdata ,
min_rawdata ,
max_rawdata ,
2024-01-31 14:09:47 +08:00
sub_result ,
2022-10-14 16:08:54 +08:00
avg_rawdata ,
sum_rawdata ,
is_complete ,
repeat_times ,
fail_reason )
VALUES (
@device_number ,
@point ,
@start_timestamp ,
@end_timestamp ,
@count_rawdata ,
@min_rawdata ,
@max_rawdata ,
2023-08-09 12:40:25 +08:00
@max_rawdata - @min_rawdata ,
2022-10-14 16:08:54 +08:00
@avg_rawdata ,
@sum_rawdata ,
@is_complete ,
@repeat_times ,
@fail_reason )
END
COMMIT TRANSACTION ; ";
2024-02-05 11:10:32 +08:00
await backgroundServiceRepository . ExecuteSql ( sql , row ) ;
if ( ! string . IsNullOrEmpty ( saveToMSDB ) & & saveToMSDB = = "1" )
{
await backgroundServiceMsSqlRepository . ExecuteSql ( mySql , row ) ;
}
2023-05-29 16:21:41 +08:00
}
2023-05-10 18:06:02 +08:00
}
if ( waterArchiveDayRawDatas . Count ( ) > 0 )
{
2024-02-05 11:10:32 +08:00
foreach ( var row in waterArchiveDayRawDatas )
{
row . TryGetValue ( "@start_timestamp" , out var yyyymmData ) ;
dbDateName = System . DateTime . Parse ( yyyymmData . ToString ( ) ) . ToString ( "yyyyMM" ) ;
var sql = $ @ "
2024-01-31 14:09:47 +08:00
CREATE TABLE IF NOT EXISTS ` archive_electric_water_meter_day_ { dbDateName } ` (
2023-05-29 17:10:19 +08:00
` device_number ` varchar ( 50 ) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL ,
` point ` varchar ( 20 ) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL ,
` start_timestamp ` datetime ( 6 ) NOT NULL ,
` end_timestamp ` datetime ( 6 ) NULL DEFAULT NULL ,
` count_rawdata ` int ( 11 ) NULL DEFAULT NULL ,
` min_rawdata ` decimal ( 15 , 3 ) NULL DEFAULT NULL ,
` max_rawdata ` decimal ( 15 , 3 ) NULL DEFAULT NULL ,
2024-01-31 14:09:47 +08:00
` sub_result ` decimal ( 15 , 3 ) NULL DEFAULT NULL ,
2023-05-29 17:10:19 +08:00
` avg_rawdata ` decimal ( 15 , 3 ) NULL DEFAULT NULL ,
` sum_rawdata ` decimal ( 15 , 3 ) NULL DEFAULT NULL ,
` is_complete ` tinyint ( 3 ) UNSIGNED NULL DEFAULT NULL COMMENT ' 是 否 完 成 ， 0 : 未 完 成 1 : 完 成 ' ,
` repeat_times ` int ( 11 ) NULL DEFAULT 0 COMMENT ' 重 複 次 數 ' ,
` fail_reason ` varchar ( 4000 ) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT ' 失 敗 原 因 ' ,
` created_at ` timestamp NULL DEFAULT CURRENT_TIMESTAMP ,
` updated_at ` datetime ( 6 ) NULL DEFAULT NULL ,
PRIMARY KEY ( ` device_number ` , ` point ` , ` start_timestamp ` ) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = DYNAMIC ;
2024-01-31 14:09:47 +08:00
UPDATE archive_electric_water_meter_day_ { dbDateName } SET
2023-05-10 18:06:02 +08:00
count_rawdata = @count_rawdata ,
min_rawdata = @min_rawdata ,
max_rawdata = @max_rawdata ,
2024-01-31 14:09:47 +08:00
sub_result = @max_rawdata - @min_rawdata ,
2023-05-10 18:06:02 +08:00
avg_rawdata = @avg_rawdata ,
sum_rawdata = @sum_rawdata ,
is_complete = @is_complete ,
repeat_times = @repeat_times ,
fail_reason = @fail_reason ,
updated_at = @updated_at
WHERE device_number = @device_number
AND point = @point
AND start_timestamp = @start_timestamp ;
2024-01-31 14:09:47 +08:00
INSERT INTO archive_electric_water_meter_day_ { dbDateName } (
2023-05-10 18:06:02 +08:00
device_number ,
point ,
start_timestamp ,
end_timestamp ,
count_rawdata ,
min_rawdata ,
max_rawdata ,
2024-01-31 14:09:47 +08:00
sub_result ,
2023-05-10 18:06:02 +08:00
avg_rawdata ,
sum_rawdata ,
is_complete ,
repeat_times ,
fail_reason )
SELECT
@device_number ,
@point ,
@start_timestamp ,
@end_timestamp ,
@count_rawdata ,
@min_rawdata ,
@max_rawdata ,
2023-08-09 12:40:25 +08:00
@max_rawdata - @min_rawdata ,
2023-05-10 18:06:02 +08:00
@avg_rawdata ,
@sum_rawdata ,
@is_complete ,
@repeat_times ,
@fail_reason
2024-01-31 14:09:47 +08:00
WHERE ROW_COUNT ( ) = 0 ;
update device set archive_lastDate = @start_timestamp , archive_lastActionDate = @updated_at
where device_number = @device_number ; "; //archive_lastDate 前次完成時間 ，
2023-05-10 18:06:02 +08:00
2024-02-05 11:10:32 +08:00
var mySql = $ @ "BEGIN TRANSACTION;
2024-01-31 14:09:47 +08:00
IF OBJECT_ID ( N ' dbo . archive_electric_water_meter_day_ { dbDateName } ' , N 'U' ) is null
2023-05-29 16:21:41 +08:00
BEGIN
2024-01-31 14:09:47 +08:00
CREATE TABLE [ dbo ] . [ archive_electric_water_meter_day_ { dbDateName } ] (
[device_number] [ varchar ] ( 50 ) NOT NULL ,
[point] [ varchar ] ( 20 ) NOT NULL ,
[start_timestamp] [ datetime ] NOT NULL ,
[end_timestamp] [ datetime ] NULL ,
[count_rawdata] [ int ] NULL ,
[min_rawdata] [ decimal ] ( 15 , 3 ) NULL ,
[max_rawdata] [ decimal ] ( 15 , 3 ) NULL ,
[sub_result] [ decimal ] ( 15 , 3 ) NULL ,
[avg_rawdata] [ decimal ] ( 15 , 3 ) NULL ,
[sum_rawdata] [ decimal ] ( 15 , 3 ) NULL ,
[is_complete] [ tinyint ] NULL ,
[repeat_times] [ int ] NULL ,
[fail_reason] [ nvarchar ] ( max ) NULL ,
[created_at] [ datetime ] NULL ,
[updated_at] [ datetime ] NULL ,
CONSTRAINT [ PK_archive_electric_water_meter_day_ { dbDateName } ] PRIMARY KEY CLUSTERED
2023-05-29 16:21:41 +08:00
(
2024-01-31 14:09:47 +08:00
[device_number] ASC ,
[point] ASC ,
[start_timestamp] ASC
2023-05-29 16:21:41 +08:00
) WITH ( PAD_INDEX = OFF , STATISTICS_NORECOMPUTE = OFF , IGNORE_DUP_KEY = OFF , ALLOW_ROW_LOCKS = ON , ALLOW_PAGE_LOCKS = ON , OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF ) ON [ PRIMARY ]
) ON [ PRIMARY ] TEXTIMAGE_ON [ PRIMARY ]
2024-01-31 14:09:47 +08:00
ALTER TABLE [ dbo ] . [ archive_electric_water_meter_day_ { dbDateName } ] ADD CONSTRAINT [ DF_archive_electric_water_meter_day_ { dbDateName } _repeat_times ] DEFAULT ( ( 0 ) ) FOR [ repeat_times ]
2023-05-29 16:21:41 +08:00
2024-01-31 14:09:47 +08:00
ALTER TABLE [ dbo ] . [ archive_electric_water_meter_day_ { dbDateName } ] ADD CONSTRAINT [ DF_archive_electric_water_meter_day_ { dbDateName } _created_at ] DEFAULT ( getdate ( ) ) FOR [ created_at ]
2023-05-29 16:21:41 +08:00
2024-01-31 14:09:47 +08:00
ALTER TABLE [ dbo ] . [ archive_electric_water_meter_day_ { dbDateName } ] ADD CONSTRAINT [ DF_archive_electric_water_meter_day_ { dbDateName } _updated_at ] DEFAULT ( NULL ) FOR [ updated_at ]
2023-05-29 16:21:41 +08:00
2024-01-31 14:09:47 +08:00
EXEC sys . sp_addextendedproperty @name = N ' MS_Description ' , @value = N ' 是 否 完 成 ， 0 : 未 完 成 1 : 完 成 ' , @level0type = N ' SCHEMA ' , @level0name = N ' dbo ' , @level1type = N ' TABLE ' , @level1name = N ' archive_electric_water_meter_day_ { dbDateName } ' , @level2type = N ' COLUMN ' , @level2name = N ' is_complete '
2023-05-29 16:21:41 +08:00
2024-01-31 14:09:47 +08:00
EXEC sys . sp_addextendedproperty @name = N ' MS_Description ' , @value = N ' 重 複 次 數 ' , @level0type = N ' SCHEMA ' , @level0name = N ' dbo ' , @level1type = N ' TABLE ' , @level1name = N ' archive_electric_water_meter_day_ { dbDateName } ' , @level2type = N ' COLUMN ' , @level2name = N ' repeat_times '
2023-05-29 16:21:41 +08:00
2024-01-31 14:09:47 +08:00
EXEC sys . sp_addextendedproperty @name = N ' MS_Description ' , @value = N ' 失 敗 原 因 ' , @level0type = N ' SCHEMA ' , @level0name = N ' dbo ' , @level1type = N ' TABLE ' , @level1name = N ' archive_electric_water_meter_day_ { dbDateName } ' , @level2type = N ' COLUMN ' , @level2name = N ' fail_reason '
2023-05-29 16:21:41 +08:00
END
2023-05-10 18:06:02 +08:00
2024-01-31 14:09:47 +08:00
UPDATE archive_electric_water_meter_day_ { dbDateName } SET
2023-05-10 18:06:02 +08:00
count_rawdata = @count_rawdata ,
min_rawdata = @min_rawdata ,
max_rawdata = @max_rawdata ,
2024-01-31 14:09:47 +08:00
sub_result = @max_rawdata - @min_rawdata ,
2023-05-10 18:06:02 +08:00
avg_rawdata = @avg_rawdata ,
sum_rawdata = @sum_rawdata ,
is_complete = @is_complete ,
repeat_times = @repeat_times ,
fail_reason = @fail_reason ,
updated_at = @updated_at
WHERE device_number = @device_number
AND point = @point
AND start_timestamp = @start_timestamp ;
IF @ @ROWCOUNT = 0
BEGIN
2024-01-31 14:09:47 +08:00
INSERT INTO archive_electric_water_meter_day_ { dbDateName } (
2023-05-10 18:06:02 +08:00
device_number ,
point ,
start_timestamp ,
end_timestamp ,
count_rawdata ,
min_rawdata ,
max_rawdata ,
2024-01-31 14:09:47 +08:00
sub_result ,
2023-05-10 18:06:02 +08:00
avg_rawdata ,
sum_rawdata ,
is_complete ,
repeat_times ,
fail_reason )
VALUES (
@device_number ,
@point ,
@start_timestamp ,
@end_timestamp ,
@count_rawdata ,
@min_rawdata ,
@max_rawdata ,
2023-08-09 12:40:25 +08:00
@max_rawdata - @min_rawdata ,
2023-05-10 18:06:02 +08:00
@avg_rawdata ,
@sum_rawdata ,
@is_complete ,
@repeat_times ,
@fail_reason )
END
COMMIT TRANSACTION ; ";
2024-02-05 11:10:32 +08:00
await backgroundServiceRepository . ExecuteSql ( sql , row ) ;
if ( ! string . IsNullOrEmpty ( saveToMSDB ) & & saveToMSDB = = "1" )
{
await backgroundServiceMsSqlRepository . ExecuteSql ( mySql , row ) ;
}
2023-05-29 16:21:41 +08:00
}
2022-10-14 16:08:54 +08:00
}
2024-02-05 13:24:01 +08:00
await task_Detail . InsertWorkTime_End ( "ArchiveElectricMeterDayJob" , "Day" , "水電表天任務完成" ) ;
2022-10-14 16:08:54 +08:00
}
catch ( Exception exception )
{
await task_Detail . WorkFail ( "ArchiveElectricMeterDayJob" , "Day" , exception . ToString ( ) ) ;
logger . LogError ( "【ArchiveElectricMeterDayJob】【天歸檔】【任務失敗】" ) ;
logger . LogError ( "【ArchiveElectricMeterDayJob】【天歸檔】【任務失敗】[Exception]： , exception . ToString ( ) ) ;
2023-09-22 18:38:54 +08:00
logger . LogError ( await backgroundServiceMsSqlRepository . GetDbAllString ( ) ) ;
2022-10-14 16:08:54 +08:00
}
2023-06-07 12:18:46 +08:00
finally
{
if ( archiveResponse ! = null )
{
archiveResponse . Dispose ( ) ;
archiveResponse . Close ( ) ;
}
}
2022-10-14 16:08:54 +08:00
}
#endregion 天 歸 檔
#region 週 歸 檔
2024-01-31 14:09:47 +08:00
//if (await task_Detail.GetNeedWorkTask("ArchiveElectricMeterDayJob", "Week"))
//{
// try
// {
// await task_Detail.InsertWorkTime("ArchiveElectricMeterDayJob", "Week", "水電表周任務開始");
// int week = Convert.ToInt32(now.DayOfWeek);
// week = week == 0 ? 7 : week;
// var startTimestamp = string.Format("{0}T00:00:00.000+08:00", now.AddDays(1 - week).ToString("yyyy-MM-dd"));
// var endTimestamp = string.Format("{0}T23:59:59.000+08:00", now.AddDays(7 - week).ToString("yyyy-MM-dd"));
// var historyQueryFilter = $@"<obj is='obix: HistoryFilter'>
// <abstime name='start' val='{startTimestamp}' />
// <abstime name='end' val='{endTimestamp}' />
// <reltime name='interval' val = 'PT7D' />
// </obj>";
// //Stopwatch stopWatch = new Stopwatch();
// //stopWatch.Start();
// //抓取每個設備的資料
// List<Dictionary<string, object>> electricArchiveWeekRawDatas = new List<Dictionary<string, object>>();
// List<Dictionary<string, object>> waterArchiveWeekRawDatas = new List<Dictionary<string, object>>();
// foreach (var deviceNumberPoint in electricDeviceNumberPoints)
// {
// if (tagQuantity.Equals("5"))
// station = await backgroundServiceRepository.GetOneAsync<string>($@"select parent_path from import_niagara_item_history
// where device_building_tag = '{device_number.Split("_")[0]}' and device_floor_tag = '{device_number.Split("_")[2]}'
// and device_name_tag = '{device_number.Split("_")[1]}' and device_point_name = '{device_number.Split("_")[5]}'");
// else
// station = backgroundServiceRepository.GetOneAsync<string>($@"select parent_path from import_niagara_item_history
// where device_building_tag = '{device_number.Split("_")[1].Replace("$3", "")}' and
// device_system_tag = '{device_number.Split("_")[2]}' and device_name_tag = '{device_number.Split("_")[3]}'
// and device_floor_tag = '{device_number.Split("_")[4]}' and device_master_tag = '{device_number.Split("_")[5]}'
// and device_last_name_tag = '{device_number.Split("_")[6]}' and device_serial_tag = '{device_number.Split("_")[7]}'
// and device_point_name = '{device_number.Split("_")[8]}'").Result;
// device_number = deviceNumberPoint.FullDeviceNumberPoint;
// archiveRequest = (HttpWebRequest)WebRequest.Create($"{obixApiConfig.ApiBase}obix/histories/{station}/{deviceNumberPoint.FullDeviceNumberPoint.Replace("$3", "")}/~historyRollup/");
// //HttpWebRequest archiveWeekRequest = (HttpWebRequest)WebRequest.Create($"{obixApiConfig.ApiBase}obix/histories/{station}/H_E1_B1F_MVCB_MVCBH_V1/~historyRollup/");
// archiveRequest.Method = "POST";
// archiveRequest.Headers.Add("Authorization", "Basic " + encoded);
// archiveRequest.PreAuthenticate = true;
// byte[] byteArray = Encoding.UTF8.GetBytes(historyQueryFilter);
// using (Stream reqStream = archiveRequest.GetRequestStream())
// {
// reqStream.Write(byteArray, 0, byteArray.Length);
// }
// archiveResponse = (HttpWebResponse)archiveRequest.GetResponse();
// archiveResponseContent = new StreamReader(archiveResponse.GetResponseStream()).ReadToEnd();
// archiveResponse.Dispose();
// archiveResponse.Close();
// xmlDocument.LoadXml(archiveResponseContent);
// archiveJson = JsonConvert.SerializeXmlNode(xmlDocument);
// archiveJsonResult = (JObject)JsonConvert.DeserializeObject(archiveJson);
// if (archiveJsonResult.ContainsKey("err")) //抓取錯誤
// {
// //logger.LogError("【ArchiveElectricMeterDayJob】【週歸檔】【取得資料失敗】");
// //logger.LogError("【ArchiveElectricMeterDayJob】【週歸檔】【取得資料失敗】[錯誤內容]：
// Dictionary<string, object> archiveWeekRawData = new Dictionary<string, object>();
// archiveWeekRawData.Add("@device_number", deviceNumberPoint.DeviceNumber);
// archiveWeekRawData.Add("@point", deviceNumberPoint.Point);
// archiveWeekRawData.Add("@start_timestamp", startTimestamp.Replace("T", " ").Substring(0, 19));
// archiveWeekRawData.Add("@end_timestamp", endTimestamp.Replace("T", " ").Substring(0, 19));
// archiveWeekRawData.Add("@is_complete", 0);
// archiveWeekRawData.Add("@repeat_times", 0);
// archiveWeekRawData.Add("@fail_reason", archiveJson);
// archiveWeekRawData.Add("@count_rawdata", 0);
// archiveWeekRawData.Add("@min_rawdata", 0);
// archiveWeekRawData.Add("@max_rawdata", 0);
// archiveWeekRawData.Add("@avg_rawdata", 0);
// archiveWeekRawData.Add("@sum_rawdata", 0);
// archiveWeekRawData.Add("@updated_at", DateTime.Now.ToString("yyyy-MM-dd HH:mm:ss"));
// electricArchiveWeekRawDatas.Add(archiveWeekRawData);
// }
// if (archiveJsonResult.ContainsKey("obj")) //表示可以讀取到內容
// {
// var ArrangeRawDatas = ArrangeRawData(deviceNumberPoint, archiveJsonResult);
// if (ArrangeRawDatas != null && ArrangeRawDatas.Count() > 0)
// {
// electricArchiveWeekRawDatas.AddRange(ArrangeRawDatas);
// }
// }
// }
// foreach (var deviceNumberPoint in waterDeviceNumberPoints)
// {
// device_number = deviceNumberPoint.FullDeviceNumberPoint;
// if (tagQuantity.Equals("5"))
// station = await backgroundServiceRepository.GetOneAsync<string>($@"select parent_path from import_niagara_item_history
// where device_building_tag = '{device_number.Split("_")[0]}' and device_floor_tag = '{device_number.Split("_")[2]}'
// and device_name_tag = '{device_number.Split("_")[1]}' and device_point_name = '{device_number.Split("_")[5]}'");
// else
// station = backgroundServiceRepository.GetOneAsync<string>($@"select parent_path from import_niagara_item_history
// where device_building_tag = '{device_number.Split("_")[1].Replace("$3", "")}' and
// device_system_tag = '{device_number.Split("_")[2]}' and device_name_tag = '{device_number.Split("_")[3]}'
// and device_floor_tag = '{device_number.Split("_")[4]}' and device_master_tag = '{device_number.Split("_")[5]}'
// and device_last_name_tag = '{device_number.Split("_")[6]}' and device_serial_tag = '{device_number.Split("_")[7]}'
// and device_point_name = '{device_number.Split("_")[8]}'").Result;
// archiveRequest = (HttpWebRequest)WebRequest.Create($"{obixApiConfig.ApiBase}obix/histories/{station}/{deviceNumberPoint.FullDeviceNumberPoint.Replace("$3", "")}/~historyRollup/");
// //HttpWebRequest archiveWeekRequest = (HttpWebRequest)WebRequest.Create($"{obixApiConfig.ApiBase}obix/histories/{station}/H_E1_B1F_MVCB_MVCBH_V1/~historyRollup/");
// archiveRequest.Method = "POST";
// archiveRequest.Headers.Add("Authorization", "Basic " + encoded);
// archiveRequest.PreAuthenticate = true;
// byte[] byteArray = Encoding.UTF8.GetBytes(historyQueryFilter);
// using (Stream reqStream = archiveRequest.GetRequestStream())
// {
// reqStream.Write(byteArray, 0, byteArray.Length);
// }
// archiveResponse = (HttpWebResponse)archiveRequest.GetResponse();
// archiveResponseContent = new StreamReader(archiveResponse.GetResponseStream()).ReadToEnd();
// archiveResponse.Dispose();
// archiveResponse.Close();
// xmlDocument.LoadXml(archiveResponseContent);
// archiveJson = JsonConvert.SerializeXmlNode(xmlDocument);
// archiveJsonResult = (JObject)JsonConvert.DeserializeObject(archiveJson);
// if (archiveJsonResult.ContainsKey("err")) //抓取錯誤
// {
// //logger.LogError("【ArchiveElectricMeterDayJob】【週歸檔】【取得資料失敗】");
// //logger.LogError("【ArchiveElectricMeterDayJob】【週歸檔】【取得資料失敗】[錯誤內容]：
// Dictionary<string, object> archiveWeekRawData = new Dictionary<string, object>();
// archiveWeekRawData.Add("@device_number", deviceNumberPoint.DeviceNumber);
// archiveWeekRawData.Add("@point", deviceNumberPoint.Point);
// archiveWeekRawData.Add("@start_timestamp", startTimestamp.Replace("T", " ").Substring(0, 19));
// archiveWeekRawData.Add("@end_timestamp", endTimestamp.Replace("T", " ").Substring(0, 19));
// archiveWeekRawData.Add("@is_complete", 0);
// archiveWeekRawData.Add("@repeat_times", 0);
// archiveWeekRawData.Add("@fail_reason", archiveJson);
// archiveWeekRawData.Add("@count_rawdata", 0);
// archiveWeekRawData.Add("@min_rawdata", 0);
// archiveWeekRawData.Add("@max_rawdata", 0);
// archiveWeekRawData.Add("@avg_rawdata", 0);
// archiveWeekRawData.Add("@sum_rawdata", 0);
// archiveWeekRawData.Add("@updated_at", DateTime.Now.ToString("yyyy-MM-dd HH:mm:ss"));
// waterArchiveWeekRawDatas.Add(archiveWeekRawData);
// }
// if (archiveJsonResult.ContainsKey("obj")) //表示可以讀取到內容
// {
// var ArrangeRawDatas = ArrangeRawData(deviceNumberPoint, archiveJsonResult);
// if (ArrangeRawDatas != null && ArrangeRawDatas.Count() > 0)
// {
// waterArchiveWeekRawDatas.AddRange(ArrangeRawDatas);
// }
// }
// }
// //stopWatch.Stop();
// //logger.LogInformation("【ArchiveElectricMeterDayJob】【週歸檔】【效能檢驗】[取得資料花費時間]{0} 毫秒", stopWatch.ElapsedMilliseconds);
// if (electricArchiveWeekRawDatas.Count() > 0)
// {
// var sql = $@"
// UPDATE archive_electric_water_meter_week SET
// count_rawdata = @count_rawdata,
// min_rawdata = @min_rawdata,
// max_rawdata = @max_rawdata,
// sub_result = @max_rawdata - @min_rawdata,
// avg_rawdata = @avg_rawdata,
// sum_rawdata = @sum_rawdata,
// is_complete = @is_complete,
// repeat_times = @repeat_times,
// fail_reason = @fail_reason,
// updated_at = @updated_at
// WHERE device_number = @device_number
// AND point = @point
// AND start_timestamp = @start_timestamp;
// INSERT INTO archive_electric_water_meter_week (
// device_number,
// point,
// start_timestamp,
// end_timestamp,
// count_rawdata,
// min_rawdata,
// max_rawdata,
// sub_result,
// avg_rawdata,
// sum_rawdata,
// is_complete,
// repeat_times,
// fail_reason)
// SELECT
// @device_number,
// @point,
// @start_timestamp,
// @end_timestamp,
// @count_rawdata,
// @min_rawdata,
// @max_rawdata,
// @max_rawdata - @min_rawdata,
// @avg_rawdata,
// @sum_rawdata,
// @is_complete,
// @repeat_times,
// @fail_reason
// WHERE ROW_COUNT() = 0;
// ";
// var mySql = $@"BEGIN TRANSACTION;
// UPDATE archive_electric_water_meter_week SET
// count_rawdata = @count_rawdata,
// min_rawdata = @min_rawdata,
// max_rawdata = @max_rawdata,
// sub_result = @max_rawdata - @min_rawdata,
// avg_rawdata = @avg_rawdata,
// sum_rawdata = @sum_rawdata,
// is_complete = @is_complete,
// repeat_times = @repeat_times,
// fail_reason = @fail_reason,
// updated_at = @updated_at
// WHERE device_number = @device_number
// AND point = @point
// AND start_timestamp = @start_timestamp;
// IF @@ROWCOUNT = 0
// BEGIN
// INSERT INTO archive_electric_water_meter_week (
// device_number,
// point,
// start_timestamp,
// end_timestamp,
// count_rawdata,
// min_rawdata,
// max_rawdata,
// sub_result,
// avg_rawdata,
// sum_rawdata,
// is_complete,
// repeat_times,
// fail_reason)
// VALUES (
// @device_number,
// @point,
// @start_timestamp,
// @end_timestamp,
// @count_rawdata,
// @min_rawdata,
// @max_rawdata,
// @max_rawdata - @min_rawdata,
// @avg_rawdata,
// @sum_rawdata,
// @is_complete,
// @repeat_times,
// @fail_reason)
// END
// COMMIT TRANSACTION;";
// await backgroundServiceRepository.ExecuteSql(sql, electricArchiveWeekRawDatas);
// if (!string.IsNullOrEmpty(saveToMSDB) && saveToMSDB == "1")
// {
// await backgroundServiceMsSqlRepository.ExecuteSql(mySql, electricArchiveWeekRawDatas);
// }
// }
// if (waterArchiveWeekRawDatas.Count() > 0)
// {
// var sql = $@"
// UPDATE archive_electric_water_meter_week SET
// count_rawdata = @count_rawdata,
// min_rawdata = @min_rawdata,
// max_rawdata = @max_rawdata,
// sub_result = @max_rawdata - @min_rawdata,
// avg_rawdata = @avg_rawdata,
// sum_rawdata = @sum_rawdata,
// is_complete = @is_complete,
// repeat_times = @repeat_times,
// fail_reason = @fail_reason,
// updated_at = @updated_at
// WHERE device_number = @device_number
// AND point = @point
// AND start_timestamp = @start_timestamp;
// INSERT INTO archive_electric_water_meter_week (
// device_number,
// point,
// start_timestamp,
// end_timestamp,
// count_rawdata,
// min_rawdata,
// max_rawdata,
// sub_result,
// avg_rawdata,
// sum_rawdata,
// is_complete,
// repeat_times,
// fail_reason)
// SELECT
// @device_number,
// @point,
// @start_timestamp,
// @end_timestamp,
// @count_rawdata,
// @min_rawdata,
// @max_rawdata,
// @max_rawdata - @min_rawdata,
// @avg_rawdata,
// @sum_rawdata,
// @is_complete,
// @repeat_times,
// @fail_reason
// WHERE ROW_COUNT() = 0;
// ";
// var mySql = $@"BEGIN TRANSACTION;
// UPDATE archive_electric_water_meter_week SET
// count_rawdata = @count_rawdata,
// min_rawdata = @min_rawdata,
// max_rawdata = @max_rawdata,
// sub_result = @max_rawdata - @min_rawdata,
// avg_rawdata = @avg_rawdata,
// sum_rawdata = @sum_rawdata,
// is_complete = @is_complete,
// repeat_times = @repeat_times,
// fail_reason = @fail_reason,
// updated_at = @updated_at
// WHERE device_number = @device_number
// AND point = @point
// AND start_timestamp = @start_timestamp;
// IF @@ROWCOUNT = 0
// BEGIN
// INSERT INTO archive_electric_water_meter_week (
// device_number,
// point,
// start_timestamp,
// end_timestamp,
// count_rawdata,
// min_rawdata,
// max_rawdata,
// sub_result,
// avg_rawdata,
// sum_rawdata,
// is_complete,
// repeat_times,
// fail_reason)
// VALUES (
// @device_number,
// @point,
// @start_timestamp,
// @end_timestamp,
// @count_rawdata,
// @min_rawdata,
// @max_rawdata,
// @max_rawdata - @min_rawdata,
// @avg_rawdata,
// @sum_rawdata,
// @is_complete,
// @repeat_times,
// @fail_reason)
// END
// COMMIT TRANSACTION;";
// await backgroundServiceRepository.ExecuteSql(sql, waterArchiveWeekRawDatas);
// if (!string.IsNullOrEmpty(saveToMSDB) && saveToMSDB == "1")
// {
// await backgroundServiceMsSqlRepository.ExecuteSql(mySql, waterArchiveWeekRawDatas);
// }
// }
// await task_Detail.InsertWorkTime_End("ArchiveElectricMeterDayJob", "Week", "任務完成");
// }
// catch (Exception exception)
// {
// await task_Detail.WorkFail("ArchiveElectricMeterDayJob", "Week", exception.ToString());
// logger.LogError("【ArchiveElectricMeterDayJob】【週歸檔】【任務失敗】");
// logger.LogError("【ArchiveElectricMeterDayJob】【週歸檔】【任務失敗】[Exception]：
// }
// finally
// {
// if (archiveResponse != null)
// {
// archiveResponse.Dispose();
// archiveResponse.Close();
// }
// }
//}
2022-10-14 16:08:54 +08:00
#endregion 週 歸 檔
#region 月 歸 檔
if ( await task_Detail . GetNeedWorkTask ( "ArchiveElectricMeterDayJob" , "Month" ) )
{
try
{
2023-06-06 16:43:46 +08:00
await task_Detail . InsertWorkTime ( "ArchiveElectricMeterDayJob" , "Month" , "水電表月任務開始" ) ;
2024-02-01 15:06:59 +08:00
var preDay = now . AddDays ( - 1 ) ; //取得前一天
var dayInMonth = DateTime . DaysInMonth ( preDay . Year , preDay . Month ) ;
2024-02-05 13:24:01 +08:00
var FirstDay = new DateTime ( preDay . Year , preDay . Month , 1 ) ;
2024-02-01 15:06:59 +08:00
//var LastDay = now.AddMonths(1).AddDays(-now.AddMonths(1).Day); // 這是抓到該月最後一天
2024-02-05 13:24:01 +08:00
var LastDay = now ;
2024-01-31 14:09:47 +08:00
2022-10-14 16:08:54 +08:00
2024-02-05 11:10:32 +08:00
//var startTimestamp = string.Format("{0}T23:59:59.000+08:00", FirstDay.AddDays(-1).ToString("yyyy-MM-dd")); // 巨蛋要這樣抓數據才是對的
var startTimestamp = string . Format ( "{0}T00:00:00.000+08:00" , FirstDay . ToString ( "yyyy-MM-dd" ) ) ;
2024-01-31 14:09:47 +08:00
//var endTimestamp = string.Format("{0}T23:59:59.000+08:00", LastDay.ToString("yyyy-MM-dd"));
2024-02-05 11:10:32 +08:00
var endTimestamp = string . Format ( "{0}T00:15:00.000+08:00" , LastDay . ToString ( "yyyy-MM-dd" ) ) ; // 240131 jay for dome
2024-01-31 14:09:47 +08:00
2022-10-14 16:08:54 +08:00
var historyQueryFilter = $ @ "<obj is='obix: HistoryFilter'>
< abstime name = ' start ' val = ' { startTimestamp } ' / >
< abstime name = ' end ' val = ' { endTimestamp } ' / >
2024-02-01 15:06:59 +08:00
< reltime name = ' interval ' val = ' PT { dayInMonth + 1 } D ' / >
2022-10-14 16:08:54 +08:00
< / obj > ";
//Stopwatch stopWatch = new Stopwatch();
//stopWatch.Start();
//抓取每個設備的資料
2023-05-10 18:06:02 +08:00
List < Dictionary < string , object > > electricArchiveMonthRawDatas = new List < Dictionary < string , object > > ( ) ;
List < Dictionary < string , object > > waterArchiveMonthRawDatas = new List < Dictionary < string , object > > ( ) ;
foreach ( var deviceNumberPoint in electricDeviceNumberPoints )
2022-10-14 16:08:54 +08:00
{
2023-07-14 12:22:57 +08:00
device_number = deviceNumberPoint . FullDeviceNumberPoint ;
2023-08-10 10:31:44 +08:00
if ( tagQuantity . Equals ( "5" ) )
station = await backgroundServiceRepository . GetOneAsync < string > ( $ @ "select parent_path from import_niagara_item_history
where device_building_tag = ' { device_number . Split ( "_" ) [ 0 ] } ' and device_floor_tag = ' { device_number . Split ( "_" ) [ 2 ] } '
and device_name_tag = ' { device_number . Split ( "_" ) [ 1 ] } ' and device_point_name = ' { device_number . Split ( "_" ) [ 5 ] } ' ");
else
station = backgroundServiceRepository . GetOneAsync < string > ( $ @ "select parent_path from import_niagara_item_history
where device_building_tag = ' { device_number . Split ( "_" ) [ 1 ] . Replace ( "$3" , "" ) } ' and
device_system_tag = ' { device_number . Split ( "_" ) [ 2 ] } ' and device_name_tag = ' { device_number . Split ( "_" ) [ 3 ] } '
and device_floor_tag = ' { device_number . Split ( "_" ) [ 4 ] } ' and device_master_tag = ' { device_number . Split ( "_" ) [ 5 ] } '
and device_last_name_tag = ' { device_number . Split ( "_" ) [ 6 ] } ' and device_serial_tag = ' { device_number . Split ( "_" ) [ 7 ] } '
and device_point_name = ' { device_number . Split ( "_" ) [ 8 ] } ' ").Result;
2023-07-20 10:54:23 +08:00
archiveRequest = ( HttpWebRequest ) WebRequest . Create ( $"{obixApiConfig.ApiBase}obix/histories/{station}/{deviceNumberPoint.FullDeviceNumberPoint.Replace(" $ 3 ", " ")}/~historyRollup/" ) ;
2023-06-08 09:55:44 +08:00
//HttpWebRequest archiveMonthRequest = (HttpWebRequest)WebRequest.Create($"{obixApiConfig.ApiBase}obix/histories/{station}/H_E1_B1F_MVCB_MVCBH_V1/~historyRollup/");
2023-06-07 12:18:46 +08:00
archiveRequest . Method = "POST" ;
archiveRequest . Headers . Add ( "Authorization" , "Basic " + encoded ) ;
archiveRequest . PreAuthenticate = true ;
2023-06-08 09:55:44 +08:00
2022-10-14 16:08:54 +08:00
byte [ ] byteArray = Encoding . UTF8 . GetBytes ( historyQueryFilter ) ;
2023-06-07 12:18:46 +08:00
using ( Stream reqStream = archiveRequest . GetRequestStream ( ) )
2022-10-14 16:08:54 +08:00
{
reqStream . Write ( byteArray , 0 , byteArray . Length ) ;
}
2023-06-08 09:55:44 +08:00
2023-06-07 12:18:46 +08:00
archiveResponse = ( HttpWebResponse ) archiveRequest . GetResponse ( ) ;
archiveResponseContent = new StreamReader ( archiveResponse . GetResponseStream ( ) ) . ReadToEnd ( ) ;
archiveResponse . Dispose ( ) ;
archiveResponse . Close ( ) ;
2022-10-14 16:08:54 +08:00
2023-06-07 12:18:46 +08:00
xmlDocument . LoadXml ( archiveResponseContent ) ;
archiveJson = JsonConvert . SerializeXmlNode ( xmlDocument ) ;
archiveJsonResult = ( JObject ) JsonConvert . DeserializeObject ( archiveJson ) ;
2022-10-14 16:08:54 +08:00
2023-06-07 12:18:46 +08:00
if ( archiveJsonResult . ContainsKey ( "err" ) ) //抓取錯誤
2022-10-14 16:08:54 +08:00
{
//logger.LogError("【ArchiveElectricMeterDayJob】【月歸檔】【取得資料失敗】");
//logger.LogError("【ArchiveElectricMeterDayJob】【月歸檔】【取得資料失敗】[錯誤內容]：
Dictionary < string , object > archiveMonthRawData = new Dictionary < string , object > ( ) ;
archiveMonthRawData . Add ( "@device_number" , deviceNumberPoint . DeviceNumber ) ;
archiveMonthRawData . Add ( "@point" , deviceNumberPoint . Point ) ;
archiveMonthRawData . Add ( "@start_timestamp" , startTimestamp . Replace ( "T" , " " ) . Substring ( 0 , 19 ) ) ;
archiveMonthRawData . Add ( "@end_timestamp" , endTimestamp . Replace ( "T" , " " ) . Substring ( 0 , 19 ) ) ;
archiveMonthRawData . Add ( "@is_complete" , 0 ) ;
archiveMonthRawData . Add ( "@repeat_times" , 0 ) ;
2023-06-07 12:18:46 +08:00
archiveMonthRawData . Add ( "@fail_reason" , archiveJson ) ;
2022-10-14 16:08:54 +08:00
archiveMonthRawData . Add ( "@count_rawdata" , 0 ) ;
archiveMonthRawData . Add ( "@min_rawdata" , 0 ) ;
archiveMonthRawData . Add ( "@max_rawdata" , 0 ) ;
archiveMonthRawData . Add ( "@avg_rawdata" , 0 ) ;
archiveMonthRawData . Add ( "@sum_rawdata" , 0 ) ;
archiveMonthRawData . Add ( "@updated_at" , DateTime . Now . ToString ( "yyyy-MM-dd HH:mm:ss" ) ) ;
2023-05-10 18:06:02 +08:00
electricArchiveMonthRawDatas . Add ( archiveMonthRawData ) ;
2022-10-14 16:08:54 +08:00
}
2023-06-07 12:18:46 +08:00
if ( archiveJsonResult . ContainsKey ( "obj" ) ) //表示可以讀取到內容
2022-10-14 16:08:54 +08:00
{
2023-06-07 12:18:46 +08:00
var ArrangeRawDatas = ArrangeRawData ( deviceNumberPoint , archiveJsonResult ) ;
2022-10-14 16:08:54 +08:00
if ( ArrangeRawDatas ! = null & & ArrangeRawDatas . Count ( ) > 0 )
{
2023-05-10 18:06:02 +08:00
electricArchiveMonthRawDatas . AddRange ( ArrangeRawDatas ) ;
}
}
}
foreach ( var deviceNumberPoint in waterDeviceNumberPoints )
{
2023-07-14 12:22:57 +08:00
device_number = deviceNumberPoint . FullDeviceNumberPoint ;
2023-08-10 10:31:44 +08:00
if ( tagQuantity . Equals ( "5" ) )
station = await backgroundServiceRepository . GetOneAsync < string > ( $ @ "select parent_path from import_niagara_item_history
where device_building_tag = ' { device_number . Split ( "_" ) [ 0 ] } ' and device_floor_tag = ' { device_number . Split ( "_" ) [ 2 ] } '
and device_name_tag = ' { device_number . Split ( "_" ) [ 1 ] } ' and device_point_name = ' { device_number . Split ( "_" ) [ 5 ] } ' ");
else
station = backgroundServiceRepository . GetOneAsync < string > ( $ @ "select parent_path from import_niagara_item_history
where device_building_tag = ' { device_number . Split ( "_" ) [ 1 ] . Replace ( "$3" , "" ) } ' and
device_system_tag = ' { device_number . Split ( "_" ) [ 2 ] } ' and device_name_tag = ' { device_number . Split ( "_" ) [ 3 ] } '
and device_floor_tag = ' { device_number . Split ( "_" ) [ 4 ] } ' and device_master_tag = ' { device_number . Split ( "_" ) [ 5 ] } '
and device_last_name_tag = ' { device_number . Split ( "_" ) [ 6 ] } ' and device_serial_tag = ' { device_number . Split ( "_" ) [ 7 ] } '
and device_point_name = ' { device_number . Split ( "_" ) [ 8 ] } ' ").Result;
2023-07-20 10:54:23 +08:00
archiveRequest = ( HttpWebRequest ) WebRequest . Create ( $"{obixApiConfig.ApiBase}obix/histories/{station}/{deviceNumberPoint.FullDeviceNumberPoint.Replace(" $ 3 ", " ")}/~historyRollup/" ) ;
2023-06-08 09:55:44 +08:00
//HttpWebRequest archiveMonthRequest = (HttpWebRequest)WebRequest.Create($"{obixApiConfig.ApiBase}obix/histories/{station}/H_E1_B1F_MVCB_MVCBH_V1/~historyRollup/");
2023-06-07 12:18:46 +08:00
archiveRequest . Method = "POST" ;
archiveRequest . Headers . Add ( "Authorization" , "Basic " + encoded ) ;
archiveRequest . PreAuthenticate = true ;
2023-06-08 09:55:44 +08:00
2023-05-10 18:06:02 +08:00
byte [ ] byteArray = Encoding . UTF8 . GetBytes ( historyQueryFilter ) ;
2023-06-07 12:18:46 +08:00
using ( Stream reqStream = archiveRequest . GetRequestStream ( ) )
2023-05-10 18:06:02 +08:00
{
reqStream . Write ( byteArray , 0 , byteArray . Length ) ;
}
2023-06-07 12:18:46 +08:00
archiveResponse = ( HttpWebResponse ) archiveRequest . GetResponse ( ) ;
archiveResponseContent = new StreamReader ( archiveResponse . GetResponseStream ( ) ) . ReadToEnd ( ) ;
archiveResponse . Dispose ( ) ;
archiveResponse . Close ( ) ;
2023-05-10 18:06:02 +08:00
2023-06-07 12:18:46 +08:00
xmlDocument . LoadXml ( archiveResponseContent ) ;
archiveJson = JsonConvert . SerializeXmlNode ( xmlDocument ) ;
archiveJsonResult = ( JObject ) JsonConvert . DeserializeObject ( archiveJson ) ;
2023-05-10 18:06:02 +08:00
2023-06-07 12:18:46 +08:00
if ( archiveJsonResult . ContainsKey ( "err" ) ) //抓取錯誤
2023-05-10 18:06:02 +08:00
{
//logger.LogError("【ArchiveElectricMeterDayJob】【月歸檔】【取得資料失敗】");
//logger.LogError("【ArchiveElectricMeterDayJob】【月歸檔】【取得資料失敗】[錯誤內容]：
Dictionary < string , object > archiveMonthRawData = new Dictionary < string , object > ( ) ;
archiveMonthRawData . Add ( "@device_number" , deviceNumberPoint . DeviceNumber ) ;
archiveMonthRawData . Add ( "@point" , deviceNumberPoint . Point ) ;
archiveMonthRawData . Add ( "@start_timestamp" , startTimestamp . Replace ( "T" , " " ) . Substring ( 0 , 19 ) ) ;
archiveMonthRawData . Add ( "@end_timestamp" , endTimestamp . Replace ( "T" , " " ) . Substring ( 0 , 19 ) ) ;
archiveMonthRawData . Add ( "@is_complete" , 0 ) ;
archiveMonthRawData . Add ( "@repeat_times" , 0 ) ;
2023-06-07 12:18:46 +08:00
archiveMonthRawData . Add ( "@fail_reason" , archiveJson ) ;
2023-05-10 18:06:02 +08:00
archiveMonthRawData . Add ( "@count_rawdata" , 0 ) ;
archiveMonthRawData . Add ( "@min_rawdata" , 0 ) ;
archiveMonthRawData . Add ( "@max_rawdata" , 0 ) ;
archiveMonthRawData . Add ( "@avg_rawdata" , 0 ) ;
archiveMonthRawData . Add ( "@sum_rawdata" , 0 ) ;
archiveMonthRawData . Add ( "@updated_at" , DateTime . Now . ToString ( "yyyy-MM-dd HH:mm:ss" ) ) ;
waterArchiveMonthRawDatas . Add ( archiveMonthRawData ) ;
}
2023-06-07 12:18:46 +08:00
if ( archiveJsonResult . ContainsKey ( "obj" ) ) //表示可以讀取到內容
2023-05-10 18:06:02 +08:00
{
2023-06-07 12:18:46 +08:00
var ArrangeRawDatas = ArrangeRawData ( deviceNumberPoint , archiveJsonResult ) ;
2023-05-10 18:06:02 +08:00
if ( ArrangeRawDatas ! = null & & ArrangeRawDatas . Count ( ) > 0 )
{
waterArchiveMonthRawDatas . AddRange ( ArrangeRawDatas ) ;
2022-10-14 16:08:54 +08:00
}
}
}
//stopWatch.Stop();
//logger.LogInformation("【ArchiveElectricMeterDayJob】【月歸檔效能檢驗】[取得資料花費時間]{0} 毫秒", stopWatch.ElapsedMilliseconds);
2023-05-10 18:06:02 +08:00
if ( electricArchiveMonthRawDatas . Count ( ) > 0 )
2022-10-14 16:08:54 +08:00
{
2023-05-04 16:45:05 +08:00
var sql = $ @ "
2024-02-01 15:06:59 +08:00
CREATE TABLE IF NOT EXISTS ` archive_electric_water_meter_month ` (
` device_number ` varchar ( 50 ) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL ,
` point ` varchar ( 20 ) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL ,
` start_timestamp ` datetime ( 6 ) NOT NULL ,
` end_timestamp ` datetime ( 6 ) NULL DEFAULT NULL ,
` count_rawdata ` int ( 11 ) NULL DEFAULT NULL ,
` min_rawdata ` decimal ( 15 , 3 ) NULL DEFAULT NULL ,
` max_rawdata ` decimal ( 15 , 3 ) NULL DEFAULT NULL ,
` sub_result ` decimal ( 15 , 3 ) NULL DEFAULT NULL ,
` avg_rawdata ` decimal ( 15 , 3 ) NULL DEFAULT NULL ,
` sum_rawdata ` decimal ( 15 , 3 ) NULL DEFAULT NULL ,
` is_complete ` tinyint ( 3 ) UNSIGNED NULL DEFAULT NULL COMMENT ' 是 否 完 成 ， 0 : 未 完 成 1 : 完 成 ' ,
` repeat_times ` int ( 11 ) NULL DEFAULT 0 COMMENT ' 重 複 次 數 ' ,
` fail_reason ` varchar ( 4000 ) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT ' 失 敗 原 因 ' ,
` created_at ` timestamp NULL DEFAULT CURRENT_TIMESTAMP ,
` updated_at ` datetime ( 6 ) NULL DEFAULT NULL ,
PRIMARY KEY ( ` device_number ` , ` point ` , ` start_timestamp ` ) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = DYNAMIC ;
SET FOREIGN_KEY_CHECKS = 1 ;
2024-01-31 14:09:47 +08:00
UPDATE archive_electric_water_meter_month SET
2024-02-01 15:06:59 +08:00
start_timestamp = @start_timestamp ,
end_timestamp = @end_timestamp ,
2023-05-04 16:45:05 +08:00
count_rawdata = @count_rawdata ,
min_rawdata = @min_rawdata ,
max_rawdata = @max_rawdata ,
2024-01-31 14:09:47 +08:00
sub_result = @max_rawdata - @min_rawdata ,
2023-05-04 16:45:05 +08:00
avg_rawdata = @avg_rawdata ,
sum_rawdata = @sum_rawdata ,
is_complete = @is_complete ,
repeat_times = @repeat_times ,
fail_reason = @fail_reason ,
updated_at = @updated_at
WHERE device_number = @device_number
AND point = @point
AND start_timestamp = @start_timestamp ;
2024-01-31 14:09:47 +08:00
INSERT INTO archive_electric_water_meter_month (
2023-05-04 16:45:05 +08:00
device_number ,
point ,
start_timestamp ,
end_timestamp ,
count_rawdata ,
min_rawdata ,
max_rawdata ,
2024-01-31 14:09:47 +08:00
sub_result ,
2023-05-04 16:45:05 +08:00
avg_rawdata ,
sum_rawdata ,
is_complete ,
repeat_times ,
fail_reason )
SELECT
@device_number ,
@point ,
@start_timestamp ,
@end_timestamp ,
@count_rawdata ,
@min_rawdata ,
@max_rawdata ,
2023-08-09 12:40:25 +08:00
@max_rawdata - @min_rawdata ,
2023-05-04 16:45:05 +08:00
@avg_rawdata ,
@sum_rawdata ,
@is_complete ,
@repeat_times ,
@fail_reason
WHERE ROW_COUNT ( ) = 0 ; ";
var mySql = $ @ "BEGIN TRANSACTION;
2024-02-01 15:06:59 +08:00
IF OBJECT_ID ( N ' dbo . archive_electric_water_meter_month ' , N 'U' ) is null
BEGIN
CREATE TABLE [ dbo ] . [ archive_electric_water_meter_month ] (
[device_number] [ varchar ] ( 50 ) NOT NULL ,
[point] [ varchar ] ( 20 ) NOT NULL ,
[start_timestamp] [ datetime ] NOT NULL ,
[end_timestamp] [ datetime ] NULL ,
[count_rawdata] [ int ] NULL ,
[min_rawdata] [ decimal ] ( 15 , 3 ) NULL ,
[max_rawdata] [ decimal ] ( 15 , 3 ) NULL ,
[sub_result] [ decimal ] ( 15 , 3 ) NULL ,
[avg_rawdata] [ decimal ] ( 15 , 3 ) NULL ,
[sum_rawdata] [ decimal ] ( 15 , 3 ) NULL ,
[is_complete] [ tinyint ] NULL ,
[repeat_times] [ int ] NULL ,
[fail_reason] [ nvarchar ] ( max ) NULL ,
[created_at] [ datetime ] NULL ,
[updated_at] [ datetime ] NULL ,
CONSTRAINT [ PK_archive_electric_water_meter_month ] PRIMARY KEY CLUSTERED
(
[device_number] ASC ,
[point] ASC ,
[start_timestamp] ASC
) WITH ( PAD_INDEX = OFF , STATISTICS_NORECOMPUTE = OFF , IGNORE_DUP_KEY = OFF , ALLOW_ROW_LOCKS = ON , ALLOW_PAGE_LOCKS = ON , OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF ) ON [ PRIMARY ]
) ON [ PRIMARY ] TEXTIMAGE_ON [ PRIMARY ]
ALTER TABLE [ dbo ] . [ archive_electric_water_meter_month ] ADD CONSTRAINT [ DF_archive_electric_water_meter_month_repeat_times ] DEFAULT ( ( 0 ) ) FOR [ repeat_times ]
ALTER TABLE [ dbo ] . [ archive_electric_water_meter_month ] ADD CONSTRAINT [ DF_archive_electric_water_meter_month_created_at ] DEFAULT ( getdate ( ) ) FOR [ created_at ]
ALTER TABLE [ dbo ] . [ archive_electric_water_meter_month ] ADD CONSTRAINT [ DF_archive_electric_water_meter_month_updated_at ] DEFAULT ( NULL ) FOR [ updated_at ]
EXEC sys . sp_addextendedproperty @name = N ' MS_Description ' , @value = N ' 是 否 完 成 ， 0 : 未 完 成 1 : 完 成 ' , @level0type = N ' SCHEMA ' , @level0name = N ' dbo ' , @level1type = N ' TABLE ' , @level1name = N ' archive_electric_water_meter_month ' , @level2type = N ' COLUMN ' , @level2name = N ' is_complete '
EXEC sys . sp_addextendedproperty @name = N ' MS_Description ' , @value = N ' 重 複 次 數 ' , @level0type = N ' SCHEMA ' , @level0name = N ' dbo ' , @level1type = N ' TABLE ' , @level1name = N ' archive_electric_water_meter_month ' , @level2type = N ' COLUMN ' , @level2name = N ' repeat_times '
EXEC sys . sp_addextendedproperty @name = N ' MS_Description ' , @value = N ' 失 敗 原 因 ' , @level0type = N ' SCHEMA ' , @level0name = N ' dbo ' , @level1type = N ' TABLE ' , @level1name = N ' archive_electric_water_meter_month ' , @level2type = N ' COLUMN ' , @level2name = N ' fail_reason '
END
2022-10-14 16:08:54 +08:00
2024-01-31 14:09:47 +08:00
UPDATE archive_electric_water_meter_month SET
2024-02-01 15:06:59 +08:00
start_timestamp = @start_timestamp ,
end_timestamp = @end_timestamp ,
2022-10-14 16:08:54 +08:00
count_rawdata = @count_rawdata ,
min_rawdata = @min_rawdata ,
max_rawdata = @max_rawdata ,
2024-01-31 14:09:47 +08:00
sub_result = @max_rawdata - @min_rawdata ,
2022-10-14 16:08:54 +08:00
avg_rawdata = @avg_rawdata ,
sum_rawdata = @sum_rawdata ,
is_complete = @is_complete ,
repeat_times = @repeat_times ,
fail_reason = @fail_reason ,
updated_at = @updated_at
WHERE device_number = @device_number
AND point = @point
AND start_timestamp = @start_timestamp ;
IF @ @ROWCOUNT = 0
BEGIN
2024-01-31 14:09:47 +08:00
INSERT INTO archive_electric_water_meter_month (
2022-10-14 16:08:54 +08:00
device_number ,
point ,
start_timestamp ,
end_timestamp ,
count_rawdata ,
min_rawdata ,
max_rawdata ,
2024-01-31 14:09:47 +08:00
sub_result ,
2022-10-14 16:08:54 +08:00
avg_rawdata ,
sum_rawdata ,
is_complete ,
repeat_times ,
fail_reason )
VALUES (
@device_number ,
@point ,
@start_timestamp ,
@end_timestamp ,
@count_rawdata ,
@min_rawdata ,
@max_rawdata ,
2023-08-09 12:40:25 +08:00
@max_rawdata - @min_rawdata ,
2022-10-14 16:08:54 +08:00
@avg_rawdata ,
@sum_rawdata ,
@is_complete ,
@repeat_times ,
@fail_reason )
END
COMMIT TRANSACTION ; ";
2023-05-10 18:06:02 +08:00
await backgroundServiceRepository . ExecuteSql ( sql , electricArchiveMonthRawDatas ) ;
2023-05-29 16:21:41 +08:00
if ( ! string . IsNullOrEmpty ( saveToMSDB ) & & saveToMSDB = = "1" )
{
await backgroundServiceMsSqlRepository . ExecuteSql ( mySql , electricArchiveMonthRawDatas ) ;
}
2023-05-10 18:06:02 +08:00
}
if ( waterArchiveMonthRawDatas . Count ( ) > 0 )
{
var sql = $ @ "
2024-02-01 15:06:59 +08:00
CREATE TABLE IF NOT EXISTS ` archive_electric_water_meter_month ` (
` device_number ` varchar ( 50 ) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL ,
` point ` varchar ( 20 ) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL ,
` start_timestamp ` datetime ( 6 ) NOT NULL ,
` end_timestamp ` datetime ( 6 ) NULL DEFAULT NULL ,
` count_rawdata ` int ( 11 ) NULL DEFAULT NULL ,
` min_rawdata ` decimal ( 15 , 3 ) NULL DEFAULT NULL ,
` max_rawdata ` decimal ( 15 , 3 ) NULL DEFAULT NULL ,
` sub_result ` decimal ( 15 , 3 ) NULL DEFAULT NULL ,
` avg_rawdata ` decimal ( 15 , 3 ) NULL DEFAULT NULL ,
` sum_rawdata ` decimal ( 15 , 3 ) NULL DEFAULT NULL ,
` is_complete ` tinyint ( 3 ) UNSIGNED NULL DEFAULT NULL COMMENT ' 是 否 完 成 ， 0 : 未 完 成 1 : 完 成 ' ,
` repeat_times ` int ( 11 ) NULL DEFAULT 0 COMMENT ' 重 複 次 數 ' ,
` fail_reason ` varchar ( 4000 ) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT ' 失 敗 原 因 ' ,
` created_at ` timestamp NULL DEFAULT CURRENT_TIMESTAMP ,
` updated_at ` datetime ( 6 ) NULL DEFAULT NULL ,
PRIMARY KEY ( ` device_number ` , ` point ` , ` start_timestamp ` ) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = DYNAMIC ;
SET FOREIGN_KEY_CHECKS = 1 ;
2024-01-31 14:09:47 +08:00
UPDATE archive_electric_water_meter_month SET
2024-02-01 15:06:59 +08:00
start_timestamp = @start_timestamp ,
end_timestamp = @end_timestamp ,
2023-05-10 18:06:02 +08:00
count_rawdata = @count_rawdata ,
min_rawdata = @min_rawdata ,
max_rawdata = @max_rawdata ,
2024-01-31 14:09:47 +08:00
sub_result = @max_rawdata - @min_rawdata ,
2023-05-10 18:06:02 +08:00
avg_rawdata = @avg_rawdata ,
sum_rawdata = @sum_rawdata ,
is_complete = @is_complete ,
repeat_times = @repeat_times ,
fail_reason = @fail_reason ,
updated_at = @updated_at
WHERE device_number = @device_number
AND point = @point
AND start_timestamp = @start_timestamp ;
2024-01-31 14:09:47 +08:00
INSERT INTO archive_electric_water_meter_month (
2023-05-10 18:06:02 +08:00
device_number ,
point ,
start_timestamp ,
end_timestamp ,
count_rawdata ,
min_rawdata ,
max_rawdata ,
2024-01-31 14:09:47 +08:00
sub_result ,
2023-05-10 18:06:02 +08:00
avg_rawdata ,
sum_rawdata ,
is_complete ,
repeat_times ,
fail_reason )
SELECT
@device_number ,
@point ,
@start_timestamp ,
@end_timestamp ,
@count_rawdata ,
@min_rawdata ,
@max_rawdata ,
2023-08-09 12:40:25 +08:00
@max_rawdata - @min_rawdata ,
2023-05-10 18:06:02 +08:00
@avg_rawdata ,
@sum_rawdata ,
@is_complete ,
@repeat_times ,
@fail_reason
WHERE ROW_COUNT ( ) = 0 ; ";
var mySql = $ @ "BEGIN TRANSACTION;
2024-02-01 15:06:59 +08:00
IF OBJECT_ID ( N ' dbo . archive_electric_water_meter_month ' , N 'U' ) is null
BEGIN
CREATE TABLE [ dbo ] . [ archive_electric_water_meter_month ] (
[device_number] [ varchar ] ( 50 ) NOT NULL ,
[point] [ varchar ] ( 20 ) NOT NULL ,
[start_timestamp] [ datetime ] NOT NULL ,
[end_timestamp] [ datetime ] NULL ,
[count_rawdata] [ int ] NULL ,
[min_rawdata] [ decimal ] ( 15 , 3 ) NULL ,
[max_rawdata] [ decimal ] ( 15 , 3 ) NULL ,
[sub_result] [ decimal ] ( 15 , 3 ) NULL ,
[avg_rawdata] [ decimal ] ( 15 , 3 ) NULL ,
[sum_rawdata] [ decimal ] ( 15 , 3 ) NULL ,
[is_complete] [ tinyint ] NULL ,
[repeat_times] [ int ] NULL ,
[fail_reason] [ nvarchar ] ( max ) NULL ,
[created_at] [ datetime ] NULL ,
[updated_at] [ datetime ] NULL ,
CONSTRAINT [ PK_archive_electric_water_meter_month ] PRIMARY KEY CLUSTERED
(
[device_number] ASC ,
[point] ASC ,
[start_timestamp] ASC
) WITH ( PAD_INDEX = OFF , STATISTICS_NORECOMPUTE = OFF , IGNORE_DUP_KEY = OFF , ALLOW_ROW_LOCKS = ON , ALLOW_PAGE_LOCKS = ON , OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF ) ON [ PRIMARY ]
) ON [ PRIMARY ] TEXTIMAGE_ON [ PRIMARY ]
ALTER TABLE [ dbo ] . [ archive_electric_water_meter_month ] ADD CONSTRAINT [ DF_archive_electric_water_meter_month_repeat_times ] DEFAULT ( ( 0 ) ) FOR [ repeat_times ]
ALTER TABLE [ dbo ] . [ archive_electric_water_meter_month ] ADD CONSTRAINT [ DF_archive_electric_water_meter_month_created_at ] DEFAULT ( getdate ( ) ) FOR [ created_at ]
ALTER TABLE [ dbo ] . [ archive_electric_water_meter_month ] ADD CONSTRAINT [ DF_archive_electric_water_meter_month_updated_at ] DEFAULT ( NULL ) FOR [ updated_at ]
EXEC sys . sp_addextendedproperty @name = N ' MS_Description ' , @value = N ' 是 否 完 成 ， 0 : 未 完 成 1 : 完 成 ' , @level0type = N ' SCHEMA ' , @level0name = N ' dbo ' , @level1type = N ' TABLE ' , @level1name = N ' archive_electric_water_meter_month ' , @level2type = N ' COLUMN ' , @level2name = N ' is_complete '
EXEC sys . sp_addextendedproperty @name = N ' MS_Description ' , @value = N ' 重 複 次 數 ' , @level0type = N ' SCHEMA ' , @level0name = N ' dbo ' , @level1type = N ' TABLE ' , @level1name = N ' archive_electric_water_meter_month ' , @level2type = N ' COLUMN ' , @level2name = N ' repeat_times '
EXEC sys . sp_addextendedproperty @name = N ' MS_Description ' , @value = N ' 失 敗 原 因 ' , @level0type = N ' SCHEMA ' , @level0name = N ' dbo ' , @level1type = N ' TABLE ' , @level1name = N ' archive_electric_water_meter_month ' , @level2type = N ' COLUMN ' , @level2name = N ' fail_reason '
END
2023-05-10 18:06:02 +08:00
2024-01-31 14:09:47 +08:00
UPDATE archive_electric_water_meter_month SET
2024-02-01 15:06:59 +08:00
start_timestamp = @start_timestamp ,
end_timestamp = @end_timestamp ,
2023-05-10 18:06:02 +08:00
count_rawdata = @count_rawdata ,
min_rawdata = @min_rawdata ,
max_rawdata = @max_rawdata ,
2024-01-31 14:09:47 +08:00
sub_result = @max_rawdata - @min_rawdata ,
2023-05-10 18:06:02 +08:00
avg_rawdata = @avg_rawdata ,
sum_rawdata = @sum_rawdata ,
is_complete = @is_complete ,
repeat_times = @repeat_times ,
fail_reason = @fail_reason ,
updated_at = @updated_at
WHERE device_number = @device_number
AND point = @point
AND start_timestamp = @start_timestamp ;
IF @ @ROWCOUNT = 0
BEGIN
2024-01-31 14:09:47 +08:00
INSERT INTO archive_electric_water_meter_month (
2023-05-10 18:06:02 +08:00
device_number ,
point ,
start_timestamp ,
end_timestamp ,
count_rawdata ,
min_rawdata ,
max_rawdata ,
2024-01-31 14:09:47 +08:00
sub_result ,
2023-05-10 18:06:02 +08:00
avg_rawdata ,
sum_rawdata ,
is_complete ,
repeat_times ,
fail_reason )
VALUES (
@device_number ,
@point ,
@start_timestamp ,
@end_timestamp ,
@count_rawdata ,
@min_rawdata ,
@max_rawdata ,
2023-08-09 12:40:25 +08:00
@max_rawdata - @min_rawdata ,
2023-05-10 18:06:02 +08:00
@avg_rawdata ,
@sum_rawdata ,
@is_complete ,
@repeat_times ,
@fail_reason )
END
COMMIT TRANSACTION ; ";
await backgroundServiceRepository . ExecuteSql ( sql , waterArchiveMonthRawDatas ) ;
2023-05-29 16:21:41 +08:00
if ( ! string . IsNullOrEmpty ( saveToMSDB ) & & saveToMSDB = = "1" )
{
await backgroundServiceMsSqlRepository . ExecuteSql ( mySql , waterArchiveMonthRawDatas ) ;
}
2022-10-14 16:08:54 +08:00
}
2024-02-05 13:24:01 +08:00
await task_Detail . InsertWorkTime_End ( "ArchiveElectricMeterDayJob" , "Month" , "水電表月任務完成" ) ;
2022-10-14 16:08:54 +08:00
}
catch ( Exception exception )
{
await task_Detail . WorkFail ( "ArchiveElectricMeterDayJob" , "Month" , exception . ToString ( ) ) ;
logger . LogError ( "【ArchiveElectricMeterDayJob】【月歸檔】【任務失敗】" ) ;
logger . LogError ( "【ArchiveElectricMeterDayJob】【月歸檔】【任務失敗】[Exception]： , exception . ToString ( ) ) ;
}
2023-06-07 12:18:46 +08:00
finally
{
if ( archiveResponse ! = null )
{
archiveResponse . Dispose ( ) ;
archiveResponse . Close ( ) ;
}
}
2022-10-14 16:08:54 +08:00
}
#endregion 月 歸 檔
#region 補 償 機 制
2024-01-31 14:09:47 +08:00
////取得連線字串
//if (await task_Detail.GetNeedWorkTask("ArchiveElectricMeterDayJob", "Compensate"))
//{
// try
// {
// await task_Detail.InsertWorkTime("ArchiveElectricMeterDayJob", "Compensate", "補償機制任務開始");
// ProcEletricMeterService procEletricMeterService = new ProcEletricMeterService(backgroundServiceRepository, backgroundServiceMsSqlRepository);
// await procEletricMeterService.ArchiveData();
// await task_Detail.InsertWorkTime_End("ArchiveElectricMeterDayJob", "Compensate", "任務完成");
// }
// catch (Exception ex)
// {
// await task_Detail.WorkFail("ArchiveElectricMeterDayJob", "Compensate", ex.ToString());
// }
//}
2022-10-14 16:08:54 +08:00
#endregion 補 償 機 制
2024-01-31 14:09:47 +08:00
await task_Detail . InsertWorkTime_End ( "ArchiveElectricMeterDayJob" , "All" , "任務完成" ) ;
2022-10-14 16:08:54 +08:00
}
2024-01-31 14:09:47 +08:00
2022-10-14 16:08:54 +08:00
}
catch ( Exception exception )
{
await task_Detail . WorkFail ( "ArchiveElectricMeterDayJob" , "All" , exception . ToString ( ) ) ;
logger . LogError ( "【ArchiveElectricMeterDayJob】【任務失敗】" ) ;
2023-07-14 12:22:57 +08:00
logger . LogError ( "【ArchiveElectricMeterDayJob】【任務失敗】[Exception]： , exception . ToString ( ) , "device_number = " + device_number ) ;
2022-10-14 16:08:54 +08:00
}
}
2024-01-31 14:09:47 +08:00
public IEnumerable < DateTime > EachDay ( string from , string thru )
{
var strtday = DateTime . Parse ( from ) . AddDays ( - 1 ) ; //每次重做 2天
var endday = DateTime . Parse ( thru ) ;
for ( var day = strtday . Date ; day . Date < = endday . Date ; day = day . AddDays ( 1 ) )
yield return day ;
}
2024-02-05 11:10:32 +08:00
public IEnumerable < DateTime > EachMonth ( string from , string thru )
{
var strtday = DateTime . Parse ( from ) ;
var endday = DateTime . Parse ( thru ) ;
for ( var _month = strtday . Date ; _month . Month < = endday . Month ; _month = _month . AddDays ( 1 ) )
yield return _month ;
}
2022-10-14 16:08:54 +08:00
private List < Dictionary < string , object > > ArrangeRawData ( DeviceNumberPoint deviceNumberPoint , JObject jsonResult )
{
List < Dictionary < string , object > > arrangeRawDatas = new List < Dictionary < string , object > > ( ) ;
2023-07-17 15:23:13 +08:00
try
2022-10-14 16:08:54 +08:00
{
2023-07-17 15:23:13 +08:00
var histories = jsonResult [ "obj" ] [ "list" ] ;
var rawdateCount = Convert . ToInt32 ( jsonResult [ "obj" ] [ "int" ] [ "@val" ] . ToString ( ) ) ;
2022-10-14 16:08:54 +08:00
2023-07-17 15:23:13 +08:00
if ( rawdateCount = = 0 )
{
return null ;
}
if ( histories ! = null & & histories . HasValues )
{
if ( rawdateCount > 1 )
{ //多筆資料
foreach ( var history in histories )
{
Dictionary < string , object > arrangeRawData = new Dictionary < string , object > ( ) ;
arrangeRawData . Add ( "@device_number" , deviceNumberPoint . DeviceNumber ) ;
arrangeRawData . Add ( "@point" , deviceNumberPoint . Point ) ;
//時間
if ( history [ "abstime" ] ! = null & & history [ "abstime" ] . HasValues )
{
foreach ( var abstime in history [ "abstime" ] )
{
var name = abstime [ "@name" ] . ToString ( ) ;
switch ( name )
{
case "start" :
var startTimstamp = Convert . ToDateTime ( abstime [ "@val" ] . ToString ( ) ) . ToString ( "yyyy-MM-dd HH:mm:ss" ) ;
arrangeRawData . Add ( "@start_timestamp" , startTimstamp ) ;
break ;
case "end" :
var endTimstamp = Convert . ToDateTime ( abstime [ "@val" ] . ToString ( ) ) . ToString ( "yyyy-MM-dd HH:mm:ss" ) ;
arrangeRawData . Add ( "@end_timestamp" , endTimstamp ) ;
break ;
}
}
}
//區間內資料筆數
if ( history [ "int" ] ! = null & & history [ "int" ] . HasValues )
{
var count = Convert . ToInt32 ( histories [ "obj" ] [ "int" ] [ "@val" ] . ToString ( ) ) ;
arrangeRawData . Add ( "@count_rawdata" , count ) ;
}
//整合數值(最大、最小、平均、總和)
if ( history [ "real" ] ! = null & & history [ "real" ] . HasValues )
{
foreach ( var real in history [ "real" ] )
{
var name = real [ "@name" ] . ToString ( ) ;
switch ( name )
{
case "min" :
var min = Convert . ToDecimal ( real [ "@val" ] . ToString ( ) ) ;
arrangeRawData . Add ( "@min_rawdata" , min ) ;
break ;
case "max" :
var max = Convert . ToDecimal ( real [ "@val" ] . ToString ( ) ) ;
arrangeRawData . Add ( "@max_rawdata" , max ) ;
break ;
case "avg" :
var avg = Convert . ToDecimal ( real [ "@val" ] . ToString ( ) ) ;
arrangeRawData . Add ( "@avg_rawdata" , avg ) ;
break ;
case "sum" :
var sum = Decimal . Parse ( real [ "@val" ] . ToString ( ) , System . Globalization . NumberStyles . Float ) ;
arrangeRawData . Add ( "@sum_rawdata" , sum ) ;
break ;
}
}
}
arrangeRawData . Add ( "@is_complete" , 1 ) ;
arrangeRawData . Add ( "@repeat_times" , 0 ) ;
arrangeRawData . Add ( "@fail_reason" , null ) ;
arrangeRawData . Add ( "@updated_at" , DateTime . Now . ToString ( "yyyy-MM-dd HH:mm:ss" ) ) ;
arrangeRawDatas . Add ( arrangeRawData ) ;
}
}
else
{ //單筆資料
2022-10-14 16:08:54 +08:00
Dictionary < string , object > arrangeRawData = new Dictionary < string , object > ( ) ;
arrangeRawData . Add ( "@device_number" , deviceNumberPoint . DeviceNumber ) ;
arrangeRawData . Add ( "@point" , deviceNumberPoint . Point ) ;
//時間
2023-07-17 15:23:13 +08:00
if ( histories [ "obj" ] [ "abstime" ] ! = null & & histories [ "obj" ] [ "abstime" ] . HasValues )
2022-10-14 16:08:54 +08:00
{
2023-07-17 15:23:13 +08:00
foreach ( var abstime in histories [ "obj" ] [ "abstime" ] )
2022-10-14 16:08:54 +08:00
{
var name = abstime [ "@name" ] . ToString ( ) ;
switch ( name )
{
case "start" :
var startTimstamp = Convert . ToDateTime ( abstime [ "@val" ] . ToString ( ) ) . ToString ( "yyyy-MM-dd HH:mm:ss" ) ;
arrangeRawData . Add ( "@start_timestamp" , startTimstamp ) ;
break ;
case "end" :
var endTimstamp = Convert . ToDateTime ( abstime [ "@val" ] . ToString ( ) ) . ToString ( "yyyy-MM-dd HH:mm:ss" ) ;
arrangeRawData . Add ( "@end_timestamp" , endTimstamp ) ;
break ;
}
}
}
//區間內資料筆數
2023-07-17 15:23:13 +08:00
if ( histories [ "obj" ] [ "int" ] ! = null & & histories [ "obj" ] [ "int" ] . HasValues )
2022-10-14 16:08:54 +08:00
{
var count = Convert . ToInt32 ( histories [ "obj" ] [ "int" ] [ "@val" ] . ToString ( ) ) ;
arrangeRawData . Add ( "@count_rawdata" , count ) ;
}
//整合數值(最大、最小、平均、總和)
2023-07-17 15:23:13 +08:00
if ( histories [ "obj" ] [ "real" ] ! = null & & histories [ "obj" ] [ "real" ] . HasValues )
2022-10-14 16:08:54 +08:00
{
2023-07-17 15:23:13 +08:00
foreach ( var real in histories [ "obj" ] [ "real" ] )
2022-10-14 16:08:54 +08:00
{
var name = real [ "@name" ] . ToString ( ) ;
switch ( name )
{
case "min" :
var min = Convert . ToDecimal ( real [ "@val" ] . ToString ( ) ) ;
arrangeRawData . Add ( "@min_rawdata" , min ) ;
break ;
case "max" :
var max = Convert . ToDecimal ( real [ "@val" ] . ToString ( ) ) ;
arrangeRawData . Add ( "@max_rawdata" , max ) ;
break ;
case "avg" :
var avg = Convert . ToDecimal ( real [ "@val" ] . ToString ( ) ) ;
arrangeRawData . Add ( "@avg_rawdata" , avg ) ;
break ;
case "sum" :
2023-05-15 17:44:14 +08:00
var sum = Decimal . Parse ( real [ "@val" ] . ToString ( ) , System . Globalization . NumberStyles . Float ) ;
2022-10-14 16:08:54 +08:00
arrangeRawData . Add ( "@sum_rawdata" , sum ) ;
break ;
}
}
}
arrangeRawData . Add ( "@is_complete" , 1 ) ;
arrangeRawData . Add ( "@repeat_times" , 0 ) ;
arrangeRawData . Add ( "@fail_reason" , null ) ;
arrangeRawData . Add ( "@updated_at" , DateTime . Now . ToString ( "yyyy-MM-dd HH:mm:ss" ) ) ;
arrangeRawDatas . Add ( arrangeRawData ) ;
}
}
2023-07-17 15:23:13 +08:00
return arrangeRawDatas ;
}
catch ( Exception ex )
{
return arrangeRawDatas ;
2022-10-14 16:08:54 +08:00
}
}
}
}
