public async Task Measure()
{
AnomalyAnalysis analysis = new AnomalyAnalysis(new ApiClientFactory(wrapper.Client, wrapper.Client.BaseAddress));
byte[] data = await File.ReadAllBytesAsync(Path.Combine(TestContext.CurrentContext.TestDirectory, "Data", "Research.pdf")).ConfigureAwait(false);
AnomalyResult result = await analysis.RemoveAnomaly(
new FileRequest
{
FileData = new FileData
{
Data = data,
Name = "Market.pdf",
},
Header =
new RequestHeader
{
Domain = "Market",
AnomalyFilters = new[] { FilterTypes.Svm }
}
},
CancellationToken.None).ConfigureAwait(false);
Assert.AreEqual(-0.49, Math.Round(result.Sentiment.Value, 2));
Assert.AreEqual(13617, result.Document.TotalWords);
Assert.AreEqual(614, result.Document.Sentences.Count);
}
void GetSensorData()
{
ServicePointManager.ServerCertificateValidationCallback = delegate(object s, X509Certificate certificate, X509Chain chain, SslPolicyErrors sslPolicyErrors) {
return(true);
};
// valid commands: "realtime:$data-group" and "analytics:null"
String[] commandParts = BarCommand.Split(new String[] { ":" }, StringSplitOptions.None);
String mainCmd = commandParts[0];
String parameter = commandParts[1];
if (mainCmd.Equals("realtime"))
{
httpClient.GetString(
new Uri("https://bigdot.herokuapp.com/graph-data/bar/groups/" + parameter),
delegate(CI.HttpClient.HttpResponseMessage <string> res) {
if (barChart != null)
{
barChart.DataSource.ClearCategories();
barChart.DataSource.ClearGroups();
barChart.DataSource.AddGroup("BarGraphGroup");
if (parameter != "miscellaneous")
{
barChart.DataSource.AddCategory("x", catMats[0]);
barChart.DataSource.AddCategory("y", catMats[1]);
barChart.DataSource.AddCategory("z", catMats[2]);
barChart.DataSource.AddCategory("w", catMats[0]);
}
else
{
barChart.DataSource.AddCategory("temperature", catMats[0]);
barChart.DataSource.AddCategory("humidity", catMats[1]);
barChart.DataSource.AddCategory("pressure", catMats[2]);
}
}
switch (parameter)
{
case "accelerometer":
case "gyroscope":
case "magnetometer":
XYZSensorData XYZData = JsonConvert.DeserializeObject <XYZSensorData>(res.Data);
if (barChart != null)
{
barChart.DataSource.SetValue("x", "BarGraphGroup", XYZData.x);
barChart.DataSource.SetValue("y", "BarGraphGroup", XYZData.y);
barChart.DataSource.SetValue("z", "BarGraphGroup", XYZData.z);
barChart.DataSource.SetValue("w", "BarGraphGroup", 1);
}
break;
case "miscellaneous":
MiscSensorData miscData = JsonConvert.DeserializeObject <MiscSensorData>(res.Data);
if (barChart != null)
{
//kPa,%,C
barChart.DataSource.SetValue("temperature", "BarGraphGroup", miscData.temperature);
barChart.DataSource.SetValue("humidity", "BarGraphGroup", miscData.humidity);
barChart.DataSource.SetValue("pressure", "BarGraphGroup", miscData.pressure / 10);
}
break;
}
}
);
}
else
{
httpClient.GetString(
new Uri("https://bigdot.herokuapp.com/graph-data/bar/analysis"),
delegate(CI.HttpClient.HttpResponseMessage <string> res) {
if (barChart != null)
{
barChart.DataSource.ClearCategories();
barChart.DataSource.ClearGroups();
barChart.DataSource.AddGroup("BarGraphGroup");
if (res.Data.Contains("anomaly_score"))
{
AnomalyAnalysis analysis = JsonConvert.DeserializeObject <AnomalyAnalysis>(res.Data);
barChart.DataSource.AddCategory("temperature", catMats[0]);
barChart.DataSource.AddCategory("humidity", catMats[1]);
barChart.DataSource.AddCategory("pressure", catMats[2]);
barChart.DataSource.AddCategory("anomaly score", catMats[0]);
barChart.DataSource.SetValue("temperature", "BarGraphGroup", analysis.temperature);
barChart.DataSource.SetValue("humidity", "BarGraphGroup", analysis.humidity);
barChart.DataSource.SetValue("pressure", "BarGraphGroup", analysis.pressure / 10);
barChart.DataSource.SetValue("anomaly score", "BarGraphGroup", analysis.pressure / 10);
}
else
{
StatsAnalysis analysis = JsonConvert.DeserializeObject <StatsAnalysis>(res.Data);
barChart.DataSource.AddCategory("value", catMats[0]);
barChart.DataSource.AddCategory("count", catMats[1]);
barChart.DataSource.AddCategory("minimum", catMats[2]);
barChart.DataSource.AddCategory("maximum", catMats[0]);
barChart.DataSource.AddCategory("average", catMats[1]);
barChart.DataSource.AddCategory("sample_standard_dev", catMats[2]);
barChart.DataSource.SetValue("value", "BarGraphGroup", analysis.value);
barChart.DataSource.SetValue("count", "BarGraphGroup", analysis.count);
barChart.DataSource.SetValue("minimum", "BarGraphGroup", analysis.minimum);
barChart.DataSource.SetValue("maximum", "BarGraphGroup", analysis.maximum);
barChart.DataSource.SetValue("average", "BarGraphGroup", analysis.average);
barChart.DataSource.SetValue("sample_standard_dev", "BarGraphGroup", analysis.sample_standard_dev);
}
}
}
);
}
if (barChart != null)
{
barChart.DataSource.AutomaticMaxValue = true;
}
}
