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首页数据太多，太卡，redis缓存一下

This commit is contained in:
yanghongwei 2024-06-14 22:33:39 +08:00
parent 846c921a65
commit ecf20b76bf
5 changed files with 111 additions and 51 deletions
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14
langguanApi.xml
View File

@ -34,6 +34,11 @@
缓存ARI数据
</summary>
</member>
<member name="F:langguanApi.Common.Redis.RedisKeylist.Trend">
<summary>
首页趋势数据
</summary>
</member>
<member name="F:langguanApi.Common.Redis.RedisKeylist.CleanData">
<summary>
缓存清洁数据
@ -99,7 +104,7 @@
</member>
<member name="M:langguanApi.Controllers.AlertController.export(System.Nullable{System.DateTime},System.Nullable{System.DateTime})">
<summary>
export data
export data 默认最近7天数据
</summary>
<param name="start"></param>
<param name="end"></param>
@ -1861,6 +1866,13 @@
<param name="input"></param>
<returns></returns>
</member>
<member name="M:langguanApi.Service.Hj212Service.GetIndexData(System.Int32)">
<summary>
首页数据
</summary>
<param name="day"></param>
<returns></returns>
</member>
<member name="M:langguanApi.Service.Hj212Service.Add(langguanApi.Model.HJ212,System.String)">
<summary>
新加数据

4
langguanApi/Common/Redis/RedisKeylist.cs
View File

@ -12,6 +12,10 @@
/// </summary>
public static string AriQuality = "arqulaty";
/// <summary>
/// 首页趋势数据
/// </summary>
public static string Trend = "tred";
/// <summary>
/// 缓存清洁数据
/// </summary>
public static string CleanData = "cleandata";

41
langguanApi/Service/Hj212Service.cs
View File

@ -1,6 +1,7 @@
using langguanApi.Extensions.AutoDI;
using langguanApi.Model;
using langguanApi.Model.Dto;
using System.Diagnostics;
using System.Linq.Expressions;
namespace langguanApi.Service
@ -14,6 +15,46 @@ namespace langguanApi.Service
_deviceSerive = deviceSerive;
}
/// <summary>
/// 首页数据
/// </summary>
/// <param name="day"></param>
/// <returns></returns>
public async Task<object> GetIndexData(int day = 7)
{
Stopwatch sw = new Stopwatch();
sw.Start();
Expression<Func<Model.HJ212, bool>> exp = filter => filter.CreateDateTime >= DateTime.Now.AddDays(-day);
var result = (await base.GetListWithExp(exp)).ToList();
var temp = result.Select(s => new
{
s.a34001,
s.a34002,
s.a34004,
date = s.CreateDateTime.AddHours(8).ToString("MM-dd")
}).ToList();
sw.Stop();
Console.WriteLine($"GetIndexData:{sw.ElapsedMilliseconds}ms");
return temp.GroupBy(g => new { g.date })
.Select(s => new
{
s.Key.date,
a34001 = s.Sum(t => t.a34001),
a34002 = s.Sum(t => t.a34002),
a34004 = s.Sum(t => t.a34004)
}).ToList();
//temp.GroupBy(g => new { g.date }).ToList().ForEach(s =>
//{
// var v1 = temp.Where(m => m.date == s.Key.date).Sum(t => t.a34001);
// var v2 = temp.Where(m => m.date == s.Key.date).Sum(t => t.a34002);
// var v3 = temp.Where(m => m.date == s.Key.date).Sum(t => t.a34004);
// list.Add(new columnView() { hour = s.Key.date, type = "a34001", value = v1 });
// list.Add(new columnView() { hour = s.Key.date, type = "a34002", value = Math.Round(v2, 2) });
// list.Add(new columnView() { hour = s.Key.date, type = "a34004", value = Math.Round(v3, 2) });
//});
}
/// <summary>
/// 新加数据
/// </summary>
/// <param name="hJ212"></param>

12
langguanApi/Service/HomeService.cs
View File

@ -61,7 +61,8 @@ namespace langguanApi.Service
// 获取空气质量，缓存2小时，如果不存在，则调用WeatherService获取
Func<Task<object>> getAriQualityFunc = async () => await _weatherService.GetAirQuality();
var ariQuality = await _cacheManager.GetConvertVale(RedisKeylist.AriQuality, getAriQualityFunc, 60 * 120);
Func<Task<object>> getTrendFunc = async () => await _hj212Service.GetIndexData();
var trend = await _cacheManager.GetConvertVale(RedisKeylist.Trend, getTrendFunc, 60 * new Random().Next(70));
//首页清洁运输比例
var cleaData = new
{
@ -76,6 +77,7 @@ namespace langguanApi.Service
}
};
return new ApiResult
{
code = 0,
@ -90,13 +92,15 @@ namespace langguanApi.Service
},
title = _configuration.GetValue<string>("Home:Title"),
},
weather,
devices,
cleanData,
ariQuality,
Realtime = "",
getViewTop = "",
weather,
rate = new { },
trend,
// trend = await _hj212Service.GetIndexData(),
alerts,
getViewTop = "",
detections
}
};

83
langguanApi/Service/WeatherService.cs
View File

@ -98,87 +98,86 @@ namespace langguanApi.Service
{
case "CO":
keyword = "一氧化碳";
standard = "0.5μg/m3";
if (double.Parse(value) >= 0.5)
standard = "4 mg/m3";
if (double.Parse(value) > 4)
{
level = "优";
level = "差";
}
else if (double.Parse(value) >= 0.3)
else if (double.Parse(value) == 4)
{
level = "持平";
}
else
{
level = "差";
level = "优";
}
break;
case "NO2":
keyword = "二氧化氮";
standard = "50μg/m3";
if (double.Parse(value) >= 50)
standard = "40μg/m3";
if (double.Parse(value) >= 40)
{
level = "优";
level = "差";
}
else if (double.Parse(value) >= 150)
{
level = "轻度污染";
}
else
{
level = "中度污染";
}
break;
case "O3":
keyword = "臭氧";
standard = "100μg/m3";
if (double.Parse(value) >= 100)
{
level = "优";
}
else if (double.Parse(value) >= 50)
else if (double.Parse(value) == 150)
{
level = "持平";
}
else
{
level = "优";
}
break;
case "O3":
keyword = "臭氧";
standard = "160μg/L";
if (double.Parse(value) > 160)
{
level = "差";
}
else if (double.Parse(value) == 160)
{
level = "持平";
}
else
{
level = "优";
}
break;
case "PM10":
keyword = "PM10";
standard = "50ug/m3";
if (double.Parse(value) >= 50)
standard = "10mg/m3";
if (double.Parse(value) > 10)
{
level = "优";
level = "差";
}
else if (double.Parse(value) >= 150)
else if (double.Parse(value) == 10)
{
level = "中";
level = "持平";
}
else
{
level = "差";
level = "优";
}
break;
case "PM2_5":
keyword = "PM2.5";
standard = "25ug/m3";
if (double.Parse(value) >= 25)
{
level = "优";
}
else if (double.Parse(value) >= 100)
{
level = "中";
}
else
standard = "8mg/m3";
if (double.Parse(value) > 8)
{
level = "差";
}
else if (double.Parse(value) == 8)
{
level = "持平";
}
else
{
level = "优";
}
break;
case "SO2":
keyword = "二氧化硫";
standard = "15μg/m3";
if (double.Parse(value) >= 15)