/// <summary>
/// Requests data each time the period specified by Interval has elapsed.
/// </summary>
public async override Task RequestData()
{
try {
Google.Apis.Analytics.v3.Data.RealtimeData rt = GetRequest.Execute();
List <Dictionary <string, string> > data = RealtimeData.GetData(rt);
// Gets the date of the latest dataset in order to only add newer data.
List <IInfluxSeries> last = await InfluxClient.QueryMultiSeriesAsync(DatabaseName, "SELECT last(*) FROM " + MeasurementName);
DateTime now = DateTime.UtcNow;
DateTime New = new DateTime(now.Year, now.Month, now.Day, now.Hour, now.Minute, 0);
DateTime?latest = last.FirstOrDefault()?.Entries[0].Time;
List <InfluxDatapoint <InfluxValueField> > list = new List <InfluxDatapoint <InfluxValueField> >();
foreach (Dictionary <string, string> dict in data)
{
if (latest == null)
{
list.Add((InfluxDatapoint <InfluxValueField>) typeof(T).GetMethod("CreateInfluxDatapoint").Invoke(null, new object[] { MeasurementName, dict }));
}
else
{
// Necessary since nanoseconds cannot be set and will cause one date to be greater than the other although all (visible) parameters are equal.
if (New.Subtract(new TimeSpan(0, Convert.ToInt32(dict["rt:minutesAgo"]), 0)) > latest)
{
list.Add((InfluxDatapoint <InfluxValueField>) typeof(T).GetMethod("CreateInfluxDatapoint").Invoke(null, new object[] { MeasurementName, dict }));
}
}
await WriteToDatabase(list);
}
}
catch (Exception ex) {
Console.WriteLine("Error trying to request Google Analytics data: " + ex.Message);
}
}
/// <summary>
/// Extracts the data of a Google Realtime request.
/// </summary>
/// <param name="rt">The RealtimeData response to a realtime request.</param>
/// <returns>A List(Dictionary(string, string)) describing the data at a particular time relative to the time of the request.</returns>
public static List <Dictionary <string, string> > GetData(Google.Apis.Analytics.v3.Data.RealtimeData rt)
{
List <Dictionary <string, string> > data = new List <Dictionary <string, string> >();
if (!(rt.Rows == null))
{
foreach (List <string> r in rt.Rows)
{
data.Add(new Dictionary <string, string>());
for (int i = 0; i < r.Count; i++)
{
data[data.Count - 1].Add(rt.ColumnHeaders[i].Name, r[i]);
}
}
}
return(data);
}
