public void LoadDataAsync(DateTime startUtc, TimeSpan timeSpan, double requestedDensity, Action <IEnumerable <SummaryData> > callback)
{
var worker = new System.ComponentModel.BackgroundWorker();
worker.DoWork += (s, e) =>
{
lock (this.padlock)
{
SummaryData initialPoint;
var data = this.allKnownSummaryData.Value.Where(p => p.TimestampUtc >= startUtc).ToList();
if (data.Count == 0)
{
initialPoint = new SummaryData()
{
TimestampUtc = startUtc.AddSeconds(-1) + timeSpan,
TotalKiloHashesAverage5Sec = 1.0 / 10000
};
data.Add(initialPoint);
}
else
{
this.EnsureFixedDensity(data, startUtc, timeSpan, requestedDensity);
}
this.PrefixPadData(data, startUtc, timeSpan.TotalMilliseconds / Math.Max(requestedDensity, 100));
callback(data.OrderBy(p => p.TimestampUtc).ToList());
}
};
worker.RunWorkerAsync();
}
private void PerformSummaryNotification(string json)
{
SummaryData data;
if (string.IsNullOrEmpty(json))
{
data = new SummaryData()
{
TimestampUtc = DateTime.UtcNow,
TotalHardwareErrors = 0,
TotalKiloHashesAverage5Sec = 1 / 10000,
TotalStale = 0
};
}
else
{
var d = JsonConvert.DeserializeObject <dynamic>(json);
JArray summary = d.SUMMARY;
data = new SummaryData()
{
TimestampUtc = DateTime.UtcNow,
TotalHardwareErrors = summary.Select(s => (int)s["Hardware Errors"]).Sum(),
TotalKiloHashesAverage5Sec = Math.Max(summary.Select(s => (double)s["MHS 5s"]).Sum() * 1000, 1 / 10000),
TotalStale = summary.Select(s => (int)s["Stale"]).Sum()
};
}
this.Summary(this, new SummaryEventArgs()
{
Summary = data
});
}
public void Add(SummaryData summaryData)
{
this.allKnownSummaryData.Value.Add(summaryData);
this.unsavedData = true;
}
private void PerformSummaryNotification(string json)
{
SummaryData data;
if (string.IsNullOrEmpty(json))
{
data = new SummaryData()
{
TimestampUtc = DateTime.UtcNow,
TotalHardwareErrors = 0,
TotalKiloHashesAverage5Sec = 1 /10000,
TotalStale = 0
};
}
else
{
var d = JsonConvert.DeserializeObject<dynamic>(json);
JArray summary = d.SUMMARY;
data = new SummaryData()
{
TimestampUtc = DateTime.UtcNow,
TotalHardwareErrors = summary.Select(s => (int)s["Hardware Errors"]).Sum(),
TotalKiloHashesAverage5Sec = Math.Max(summary.Select(s => (double)s["MHS 5s"]).Sum() * 1000, 1 / 10000),
TotalStale = summary.Select(s => (int)s["Stale"]).Sum()
};
}
this.Summary(this, new SummaryEventArgs() { Summary = data });
}
private void UpdateSummaryData(SummaryData summaryData)
{
TrimToGraphRange(this.DataPointsHashRate, this.SelectedGraphTimeSpan.Span);
// add the data point to our series if it will actually result in an additional pixel, this prevents the graph from getting overloaded with too many
// data points even if the UI stays open for long periods of time (for example, a new point every 10 seconds at 7d time range - that would result
// in a very high density that would impact performance while not actually showing any additional detail on the screen)
var dataPoint = new DataPoint() { TimeLocal = summaryData.TimestampUtc.ToLocalTime(), Value = summaryData.TotalKiloHashesAverage5Sec };
var minimumGap = TimeSpan.FromMilliseconds(this.SelectedGraphTimeSpan.Span.TotalMilliseconds / Math.Max(this.GraphWidth, InitialWindowWidth));
if (this.DataPointsHashRate.Count == 0 || (dataPoint.TimeLocal - this.DataPointsHashRate.Last().TimeLocal) >= minimumGap)
{
PerformFlatLineFix(this.DataPointsHashRate, dataPoint);
this.DataPointsHashRate.Add(dataPoint);
}
// inform the data manager about the new point (regardless of display density logic)
if (this.summaryDataManager != null)
{
this.summaryDataManager.Add(summaryData);
}
this.ApplicationTitle = string.Format("Mining Controller ({0:0.#} KH/s)", summaryData.TotalKiloHashesAverage5Sec);
}
