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using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using Tango.DispenserAnalyzer.UI.Analysis;
using Tango.DispenserAnalyzer.UI.Models;
using MathNet.Numerics.LinearAlgebra;
using System.Linq.Expressions;
using System.Diagnostics;
namespace Tango.DispenserAnalyzer.UI.Analyzers
{
[Analyzer("flow")]
public class FlowAnalyser : IAnalyzer
{
public Task<List<IAnalyzerResult>> Process(List<DispenserSample> csvRows)
{
return Task.Factory.StartNew<List<IAnalyzerResult>>(() =>
{
List<IAnalyzerResult> results = new List<IAnalyzerResult>();
List<DispenserSample> commands = csvRows.Where(x => x.Command != null && x.Command.ToLower().Contains("label")).ToList<DispenserSample>();
var pairs = commands.Select((x, i) => new { Index = i, Value = x }).GroupBy(x => x.Index / 2).Select(x => x.Select(v => v.Value).ToList()).ToList();
MovingAverageFilter filter = new MovingAverageFilter();
for (int index = 0; index < pairs.Count(); index++)
{
var pair = pairs[index];
if (pair.Count != 2)
continue;
List<DispenserSample> rangeTestValues = csvRows.Where(x => x.Index > pair[0].Index && x.Index < pair[1].Index).ToList();
if (index % 2 == 1)//testing Flow-error
{
List<DispenserSample> filteredValues = rangeTestValues.Skip(5000).ToList();
// Move Average data
List<Task> tasks = new List<Task>();
int calc_count = (int)filteredValues.Count() / 4;
int start_index = 0;
while (start_index < filteredValues.Count())
{
int calc_amount = (start_index + calc_count) >= (filteredValues.Count() - 4) ? filteredValues.Count() - start_index : calc_count;
var sliceToCalcMoveAverage = new List<DispenserSample>();
sliceToCalcMoveAverage.AddRange(filteredValues.Skip(start_index).Take(calc_amount).ToList());
tasks.Add(Task.Run(() =>
{
filter.Filtering(sliceToCalcMoveAverage);
}));
start_index += calc_amount;
}
Task.WaitAll(tasks.ToArray());
//calculate difference Max Min values for each 250 values
int periodCalcMaxMin = 470;
List<double> differenceMaxMin = new List<double>();
for (int i = 0; i < (filteredValues.Count - periodCalcMaxMin); i+= 200)
{
var rangeItems =(filteredValues.Skip(i).Take(periodCalcMaxMin).ToList());
differenceMaxMin.Add(rangeItems.Max(t => t.Pressure) - rangeItems.Min(t => t.Pressure));
}
//var rangeItems = filteredValues.Select((x, i) => new { x, i }).GroupBy(p => (p.i / 250)).Select(x => x.Select(v => v.x).ToList());
//var differenceMaxMin = rangeItems.Select(x => x.Max(t => t.Pressure) - x.Min(t => t.Pressure)).ToList();
FlowAnalyzerResult result = new FlowAnalyzerResult();
result.AverageValue = filteredValues.Average(t => t.Pressure);
result.SetLocalErrors(differenceMaxMin);
results.Add(result);
}
else//testing PBU
{
PrimingAnalyzerResult result = new PrimingAnalyzerResult();
int avgMinIndex = rangeTestValues.Select(x => x.Index).Min();
int avgMaxIndex = rangeTestValues.Select(x => x.Index).Max();
double totalsec = TimeSpan.FromMilliseconds((avgMaxIndex - avgMinIndex) * 100).TotalSeconds;
result.Time = totalsec.ToString() + " sec";
result.Result = (totalsec <= 11 && totalsec >= 8) ? AnalyzerResultValue.Passed : AnalyzerResultValue.Failed;
results.Add(result);
}
}
return results;
});
}
public class FlowAnalyzerResult : AnalyzerResultBase
{
[Description("Average Value")]
public double AverageValue { get; set; }
[Description("Errors under 15")]
public string LocalErrorsUnder15 { get; set; }
[Description("Errors greater than or equal to 15 and less than 20")]
public string LocalErrorsUnder20 { get; set; }
[Description("Errors greater than or equal to 20 and less than 25")]
public string LocalErrorsUnder25 { get; set; }
[Description("Errors greater than or equal to 25 and less than 30")]
public string LocalErrorsUnder30 { get; set; }
public FlowAnalyzerResult()
{
// AverageValue = MaxValue = MinValue = TotalValue = FilterAverageValue = FilterMaxValue = FilterMinValue = FilterTotalValue = 0.0;
AverageValue = 0.0;
Result = AnalyzerResultValue.Undetermined;
}
public void SetLocalErrors(List<double> differenceMaxMin)
{
LocalErrorsUnder15 = BuildErrorLog(differenceMaxMin.Where(x => x < 15).ToList());
LocalErrorsUnder20 = BuildErrorLog(differenceMaxMin.Where(x => x < 20 && x >= 15).ToList());
int count = differenceMaxMin.Where(x => x < 25 && x >= 20).Count();
Result = (count <= 10) ? AnalyzerResultValue.Passed : AnalyzerResultValue.Failed;
LocalErrorsUnder25 = BuildErrorLog(differenceMaxMin.Where(x => x < 25 && x >= 20).ToList());
LocalErrorsUnder30 = BuildErrorLog(differenceMaxMin.Where(x => x < 30 && x >= 25).ToList());
}
private string BuildErrorLog(List<double> range_values)
{
int count = range_values.Count();
string logerrors = (count > 10 ? "multiple" : count.ToString());
if(count > 10 && AverageValue > 0)
{
double persentageOfError = (range_values.Max()) / AverageValue * 100;
logerrors = $"multiple{Environment.NewLine} Percentage of errors {persentageOfError.ToString("F2")}";
}
return logerrors;
}
}
public class MovingAverageFilter
{
public MovingAverageFilter()
{
}
public void Filtering(List<DispenserSample> source)
{
int periodAverage = 5;
for (int i = 0; i < (source.Count - 5); i++)
{
source[i].Pressure = source.Skip(i).Take(periodAverage).Average(x => x.Pressure);
}
}
}
}
}
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