public void MahrExportTest(string measure, string standard, string max, string min, string expected)
{
//assign
var fpath = @"D:\2.txt";
var data = new List<MeasureExportModel>();
var model = new MeasureExportModel()
{
MeasureName = DateTime.Now.ToString(@"mmss"),
MeasureValue = measure,
Max = max,
Min = min,
Standard = standard,
Deviation = "",
Symbol = "",
};
var model2 = new MeasureExportModel()
{
//"15.029", "15.000", "15.100", "14.900
MeasureName = DateTime.Now.ToString(@"mmss") + "-1",
MeasureValue = "15.029",
Max = "15.1",
Min = "14.9",
Standard = "15",
Deviation = "",
Symbol = "",
};
data.Add(model);
data.Add(model2);
//act
ExportHelper.MahrExport(data, fpath);
//assert
Assert.True(1 == 1);
}
/// <summary>
/// 計算 Mahr 評估值
/// </summary>
/// <param name="data"></param>
/// <returns></returns>
public static string GetEvaluation(MeasureExportModel data)
{
var evaluation = "";
char space = ' ';
double min, max, measure, standard;
if (Double.TryParse(data.Standard, out standard)
&& Double.TryParse(data.MeasureValue, out measure)
&& Double.TryParse(data.Min, out min)
&& Double.TryParse(data.Max, out max))
{
var deviation = measure - standard;
var isGreater = (deviation) > 0;
var symbol = (isGreater) ? "+" : "-";
var diffPercent = (isGreater) ? deviation / (max - standard) : deviation / (standard - min);
var count = 0;
var absDiffPercent = Math.Abs(diffPercent);
if (absDiffPercent <= 0.25) count = 1;
else if (absDiffPercent > 0.25 && absDiffPercent <= 0.5) count = 2;
else if (absDiffPercent > 0.5 && absDiffPercent <= 0.75) count = 3;
else count = 4;
for (var i = 0; i < count; i++)
evaluation += symbol;
}
return evaluation.PadLeft(11, space);
}
public void GetEvaluationTest(string measure, string standard, string max, string min, string expected)
{
//assign
var model = new MeasureExportModel()
{
MeasureName = DateTime.Now.ToString(@"mmss"),
MeasureValue = measure,
Max = max,
Min = min,
Standard = standard,
Deviation = "",
Symbol = "",
};
//act
var evaluation = ExportHelper.GetEvaluation(model);
//assert
Assert.True(evaluation == expected);
}
