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This commit is contained in:
John Cardinal
2020-05-26 23:45:32 +00:00
parent 49307ce5e4
commit e76bc3fb9e
1 changed files with 86 additions and 86 deletions
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172
server/AyaNova/Controllers/ServerMetricsController.cs
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@@ -31,7 +31,7 @@ namespace AyaNova.Api.Controllers
private readonly AyContext ct;
private readonly ILogger<LogFilesController> log;
private readonly ApiServerState serverState;
private const int MAX_RECORDS_BEFORE_DOWNSAMPLING = 400;
/// <summary>
/// ctor
@@ -52,11 +52,12 @@ namespace AyaNova.Api.Controllers
/// <summary>
/// Get all server metrics for time period specified
/// </summary>
/// <param name="hours">Required value, timespan of hours worth of records to return from current moment backwards</param>
/// <param name="maxRecords">Optional maximum records to return. If there are more records for the time period selected than this value the result will be downsampled using Largest-Triangle-Three-Buckets algorithm</param>
/// <param name="tsStart">Start timestamp UTC</param>
/// <param name="tsEnd">End timestamp UTC</param>
/// <param name="maxRecords">Optional maximum records to return. If there are more records for the time period selected than this value the result will be downsampled. There is a 400 record maximum fixed default</param>
/// <returns>Snapshot of metrics</returns>
[HttpGet]
public async Task<IActionResult> GetMetrics([FromQuery] int? hours, [FromQuery] int? maxRecords)
public async Task<IActionResult> GetMetrics([FromQuery] DateTime tsStart, [FromQuery] DateTime tsEnd, [FromQuery] int? maxRecords)
{
if (serverState.IsClosed)
return StatusCode(503, new ApiErrorResponse(serverState.ApiErrorCode, null, serverState.Reason));
@@ -66,98 +67,97 @@ namespace AyaNova.Api.Controllers
return StatusCode(403, new ApiNotAuthorizedResponse());
}
//use specified values or just return all
maxRecords ??= int.MaxValue;
List<MetricMM> MinuteMetrics = new List<MetricMM>();
//Query the data and downsample if required
maxRecords ??= MAX_RECORDS_BEFORE_DOWNSAMPLING;
if (hours != null)
{
DateTime maxDate = DateTime.UtcNow.Subtract(new TimeSpan((int)hours, 0, 0, 0));
MinuteMetrics = await ct.MetricMM.AsNoTracking().Where(z => z.t > maxDate).OrderBy(z => z.t).ToListAsync();
}
else
{
MinuteMetrics = await ct.MetricMM.AsNoTracking().OrderBy(z => z.t).ToListAsync();
}
List<MetricMM> MinuteMetrics = new List<MetricMM>();
MinuteMetrics = await ct.MetricMM.AsNoTracking().Where(z => z.t >= tsStart && z.t <= tsEnd).OrderBy(z => z.t).ToListAsync();
var ret = new
{
MetricMM = new
{
labels = MinuteMetrics.Select(z => z.t).ToArray(),
cpu = MinuteMetrics.Select(z => z.CPU).ToArray(),
gen0 = MinuteMetrics.Select(z => z.Gen0).ToArray(),
gen1 = MinuteMetrics.Select(z => z.Gen1).ToArray(),
gen2 = MinuteMetrics.Select(z => z.Gen2).ToArray(),
allocated = MinuteMetrics.Select(z => z.Allocated).ToArray(),
workingSet = MinuteMetrics.Select(z => z.WorkingSet).ToArray(),
privateBytes = MinuteMetrics.Select(z => z.PrivateBytes).ToArray()
}
};
//Log
await EventLogProcessor.LogEventToDatabaseAsync(new Event(UserIdFromContext.Id(HttpContext.Items), 0, AyaType.Metrics, AyaEvent.Retrieved), ct);
return Ok(ApiOkResponse.Response(ret));
//Downsample? This should work for longer time period metrics because the minute ones are the greatest quantity
if (maxRecords < MinuteMetrics.Count)
{
//yes, so need to return individual labels and downsampled data as they wont' sync anymore
var dsCPU = MinuteMetrics.Select(z => new Tuple<double, double>(new DateTimeOffset(z.t).ToUnixTimeSeconds(), z.CPU)).ToList();
dsCPU = Util.DataUtil.LargestTriangleThreeBuckets(dsCPU, (int)maxRecords) as List<Tuple<double, double>>;
var dsAllocated = MinuteMetrics.Select(z => new Tuple<double, double>(new DateTimeOffset(z.t).ToUnixTimeSeconds(), z.Allocated)).ToList();
dsAllocated = Util.DataUtil.LargestTriangleThreeBuckets(dsAllocated, (int)maxRecords) as List<Tuple<double, double>>;
var dsWorkingSet = MinuteMetrics.Select(z => new Tuple<double, double>(new DateTimeOffset(z.t).ToUnixTimeSeconds(), z.WorkingSet)).ToList();
dsWorkingSet = Util.DataUtil.LargestTriangleThreeBuckets(dsWorkingSet, (int)maxRecords) as List<Tuple<double, double>>;
var dsPrivateBytes = MinuteMetrics.Select(z => new Tuple<double, double>(new DateTimeOffset(z.t).ToUnixTimeSeconds(), z.PrivateBytes)).ToList();
dsPrivateBytes = Util.DataUtil.LargestTriangleThreeBuckets(dsPrivateBytes, (int)maxRecords) as List<Tuple<double, double>>;
var dsGen0 = MinuteMetrics.Select(z => new Tuple<double, double>(new DateTimeOffset(z.t).ToUnixTimeSeconds(), z.Gen0)).ToList();
dsGen0 = Util.DataUtil.LargestTriangleThreeBuckets(dsGen0, (int)maxRecords) as List<Tuple<double, double>>;
var dsGen1 = MinuteMetrics.Select(z => new Tuple<double, double>(new DateTimeOffset(z.t).ToUnixTimeSeconds(), z.Gen1)).ToList();
dsGen1 = Util.DataUtil.LargestTriangleThreeBuckets(dsGen1, (int)maxRecords) as List<Tuple<double, double>>;
var dsGen2 = MinuteMetrics.Select(z => new Tuple<double, double>(new DateTimeOffset(z.t).ToUnixTimeSeconds(), z.Gen2)).ToList();
dsGen2 = Util.DataUtil.LargestTriangleThreeBuckets(dsGen2, (int)maxRecords) as List<Tuple<double, double>>;
var ret = new
{
DownSampled = true,
MetricMM = new
{
cpuLabels = dsCPU.Select(z => DateTimeOffset.FromUnixTimeSeconds((long)z.Item1)).ToArray(),
cpu = dsCPU.Select(z => z.Item2).ToArray(),
get0Labels = dsGen0.Select(z => DateTimeOffset.FromUnixTimeSeconds((long)z.Item1)).ToArray(),
gen0 = dsGen0.Select(z => (int)z.Item2).ToArray(),
get1Labels = dsGen1.Select(z => DateTimeOffset.FromUnixTimeSeconds((long)z.Item1)).ToArray(),
gen1 = dsGen1.Select(z => (int)z.Item2).ToArray(),
get2Labels = dsGen2.Select(z => DateTimeOffset.FromUnixTimeSeconds((long)z.Item1)).ToArray(),
gen2 = dsGen2.Select(z => (int)z.Item2).ToArray(),
allocatedLabels = dsAllocated.Select(z => DateTimeOffset.FromUnixTimeSeconds((long)z.Item1)).ToArray(),
allocated = dsAllocated.Select(z => (long)z.Item2).ToArray(),
workingSetLabels = dsWorkingSet.Select(z => DateTimeOffset.FromUnixTimeSeconds((long)z.Item1)).ToArray(),
workingSet = dsWorkingSet.Select(z => (long)z.Item2).ToArray(),
privateBytesLabels = dsPrivateBytes.Select(z => DateTimeOffset.FromUnixTimeSeconds((long)z.Item1)).ToArray(),
privateBytes = dsPrivateBytes.Select(z => (long)z.Item2).ToArray()
}
};
return Ok(ApiOkResponse.Response(ret));
}
else
{
var ret = new
{
DownSampled = false,
MetricMM = new
{
labels = MinuteMetrics.Select(z => z.t).ToArray(),
cpu = MinuteMetrics.Select(z => z.CPU).ToArray(),
gen0 = MinuteMetrics.Select(z => z.Gen0).ToArray(),
gen1 = MinuteMetrics.Select(z => z.Gen1).ToArray(),
gen2 = MinuteMetrics.Select(z => z.Gen2).ToArray(),
allocated = MinuteMetrics.Select(z => z.Allocated).ToArray(),
workingSet = MinuteMetrics.Select(z => z.WorkingSet).ToArray(),
privateBytes = MinuteMetrics.Select(z => z.PrivateBytes).ToArray()
}
};
return Ok(ApiOkResponse.Response(ret));
}
}
//------------
/*
{
"chartData": {
"labels": [
"sunday",
"monday",
"tuesday",
"wednesday",
"thursday",
"friday",
"saturday"
],
"thisWeek": [
20000,
14000,
12000,
15000,
18000,
19000,
22000
],
"lastWeek": [
19000,
10000,
14000,
14000,
15000,
22000,
24000
]
}
}
*/
// //split out into seperate arrays
// //10 digits is epoch seconds
// //List<Tuple<double, double>> cpu=new List<Tuple<double, double>>();
// var cpu = MinuteMetrics.Select(z => new Tuple<double, double>(new DateTimeOffset(z.t).ToUnixTimeSeconds(), z.CPU)).ToList();
// bool DownSampled=false;
// if (maxRecords < MinuteMetrics.Count)
// {
// cpu = Util.DataUtil.LargestTriangleThreeBuckets(cpu, (int)maxRecords) as List<Tuple<double, double>>;
// //downsample it here
// ;//https://github.com/sveinn-steinarsson/flot-downsample/
// DownSampled=true;
// }
// //convert to efficient array of double pairs
// // var v = cpu.Select(z => new double[] { z.Item1, z.Item2 }).ToArray();
// var v = cpu.Select(z => new MetricItem { x= DateTimeOffset.FromUnixTimeSeconds((long)z.Item1), y=z.Item2 }).ToArray();
}
}