private static IEnumerable <Interfaces.TimeseriesData> Deserialize(
InfluxDBResult result)
{
if (result == null || result.Series == null)
{
return(null);
}
var r = new List <Interfaces.TimeseriesData>();
foreach (var serie in result.Series)
{
var tagColumn = Array.FindIndex(serie.Columns, c => c == "Tag");
var sourceColumn = Array.FindIndex(serie.Columns, c => c == "Source");
var timeColumn = Array.FindIndex(serie.Columns, c => c == "time");
var valueColumn = Array.FindIndex(serie.Columns, c => c == "Value");
r.AddRange(serie.Values.GroupBy(v => new
{
Source = sourceColumn > 0 ? v.ElementAt(sourceColumn).ToString() : null,
Tag = tagColumn > 0 ? v.ElementAt(tagColumn).ToString() : null
})
.Select(g => new Interfaces.TimeseriesData
{
Tag = g.Key.Tag,
Source = g.Key.Source,
DataPoints = new List <DataPoint>(g.Select(p => new DataPoint
{
Timestamp = ToDateTime(p.ElementAt(timeColumn)),
Value = valueColumn > 0 ? p.ElementAt(valueColumn) : null
}))
}));
}
return(r);
}
private IEnumerable <TimeseriesData> AggregationDeserialize(InfluxDBResult result)
{
if (result == null || result.Series == null)
{
return(null);
}
var r = new List <TimeseriesData>();
foreach (var serie in result.Series)
{
r.Add(new TimeseriesData
{
Tag = serie.Tags["Tag"],
Source = serie.Tags["Source"],
DataPoints = serie.Values
.Select(v =>
{
var point = new DataPoint
{
Value = new ExpandoObject()
};
dynamic ex = new ExpandoObject();
for (var i = 0; i < serie.Columns.Length; i++)
{
if (serie.Columns[i] == "time")
{
point.Timestamp = (DateTime)v[i];
(ex as IDictionary <string, Object>).Add("Timestamp", v[i]);
}
else
{
(point.Value as IDictionary <string, Object>).Add(serie.Columns[i], v[i]);
(ex as IDictionary <string, Object>).Add(serie.Columns[i], v[i]);
}
}
return(point);
}).ToList()
});
}
return(r);
}
