public async Task DataStream_Postgres_StreamQuery_Test()
{
var stream = GetValidStream();
var connector = new PostgresqlConnector(_logger);
AssertSuccessful(await connector.InitAsync(stream));
var deviceId = "DEV001";
for (var idx = 0; idx < 20; ++idx)
{
AssertSuccessful(await AddRecord(connector, stream, deviceId, idx + 300, idx + 200));
}
var filteredItems = new Dictionary <string, object>()
{
};
var query = "select time_bucket('1.5 minutes', timeStamp) as period, avg(int1)";
var result = await connector.GetTimeSeriesAnalyticsAsync(query, filteredItems, new Core.Models.UIMetaData.ListRequest()
{
PageSize = 50
});
Assert.IsTrue(result.Successful);
}
public async Task DataStream_Postgres_Stream_Request_Test()
{
var stream = GetValidStream();
var connector = new PostgresqlConnector(_logger);
AssertSuccessful(await connector.InitAsync(stream));
var deviceId = "DEV001";
var recordCount = 20;
for (var idx = 0; idx < 20; ++idx)
{
var dateStamp = DateTime.Now.AddSeconds((idx - recordCount) * 20);
AssertSuccessful(await AddRecord(connector, stream, deviceId, idx + 300, idx + 200, dateStamp.ToJSONString()));
}
var request = new TimeSeriesAnalyticsRequest()
{
Window = Windows.Minutes,
WindowSize = 1,
};
request.Fields.Add(new TimeSeriesAnalyticsRequestField()
{
Name = "int1", Operation = Operations.Average
});
var results = await connector.GetTimeSeriesAnalyticsAsync(request, new Core.Models.UIMetaData.ListRequest()
{
PageSize = 50
});
foreach (var result in results.Model)
{
Console.WriteLine(result);
}
}
