public async Task GetValuesOfDimensionWithAnomaliesWithOptionalDimensionFilter()
{
const string dimensionName = "city";
MetricsAdvisorClient client = GetMetricsAdvisorClient();
var options = new GetValuesOfDimensionWithAnomaliesOptions(SamplingStartTime, SamplingEndTime)
{
DimensionToFilter = new DimensionKey()
};
options.DimensionToFilter.AddDimensionColumn("category", "Handmade");
var valueCount = 0;
await foreach (string value in client.GetValuesOfDimensionWithAnomaliesAsync(DetectionConfigurationId, dimensionName, options))
{
Assert.That(value, Is.Not.Null.And.Not.Empty);
if (++valueCount >= MaximumSamplesCount)
{
break;
}
}
Assert.That(valueCount, Is.GreaterThan(0));
}
public async Task GetValuesOfDimensionWithAnomaliesAsync()
{
string endpoint = MetricsAdvisorUri;
string subscriptionKey = MetricsAdvisorSubscriptionKey;
string apiKey = MetricsAdvisorApiKey;
var credential = new MetricsAdvisorKeyCredential(subscriptionKey, apiKey);
var client = new MetricsAdvisorClient(new Uri(endpoint), credential);
string detectionConfigurationId = DetectionConfigurationId;
string dimensionName = "city";
var startTime = DateTimeOffset.Parse("2020-01-01T00:00:00Z");
var endTime = DateTimeOffset.UtcNow;
var options = new GetValuesOfDimensionWithAnomaliesOptions(startTime, endTime)
{
TopCount = 10
};
Console.WriteLine($"The dimension '{dimensionName}' assumed the following values on anomalous data points (limited to 10):");
int dimensionValueCount = 0;
await foreach (string dimensionValue in client.GetValuesOfDimensionWithAnomaliesAsync(detectionConfigurationId, dimensionName, options))
{
Console.WriteLine($" {dimensionValue}");
// Print at most 10 values.
if (++dimensionValueCount >= 10)
{
break;
}
}
}
public async Task GetValuesOfDimensionWithAnomaliesWithMinimumSetup(bool useTokenCredential)
{
const string dimensionName = "city";
MetricsAdvisorClient client = GetMetricsAdvisorClient(useTokenCredential);
var options = new GetValuesOfDimensionWithAnomaliesOptions(SamplingStartTime, SamplingEndTime);
var valueCount = 0;
await foreach (string value in client.GetValuesOfDimensionWithAnomaliesAsync(DetectionConfigurationId, dimensionName, options))
{
Assert.That(value, Is.Not.Null.And.Not.Empty);
if (++valueCount >= MaximumSamplesCount)
{
break;
}
}
Assert.That(valueCount, Is.GreaterThan(0));
}