/// <summary>
/// Initializes a new instance of the PSMetricValue class.
/// </summary>
/// <param name="metricValue">The input MetricValue object</param>
public PSMetricValue(MetricValue metricValue)
{
this.Average = metricValue.Average;
this.Count = metricValue.Count;
this.Last = metricValue.Last;
this.Maximum = metricValue.Maximum;
this.Minimum = metricValue.Minimum;
this.Properties = new PSDictionaryElement(metricValue.Properties);
this.Timestamp = metricValue.Timestamp;
this.Total = metricValue.Total;
}
private static MetricValue GetConvertedMetric(MetricValueBlob m)
{
// If count is not supplied, we assume 1, so the total / average relation works.
var metricValue = new MetricValue
{
Count = m.count == 0 ? 1 : m.count,
Maximum = m.maximum,
Minimum = m.minimum,
Timestamp = m.time,
};
// In case the RP doesn't populate average, we calculate average from total / count.
if (m.average == 0 && m.total != 0)
{
metricValue.Average = m.total / metricValue.Count;
}
else
{
metricValue.Average = m.average;
}
// In case the RP doesn't populate total, we calculate total from the average * count.
if (m.total == 0 && m.average != 0)
{
metricValue.Total = m.average * metricValue.Count;
}
else
{
metricValue.Total = m.total;
}
return metricValue;
}
private static void Aggregate(MetricValue lastSeen, MetricValueBlob m)
{
// If count is not supplied, we assume 1, so the total / average relation works.
lastSeen.Count += m.count == 0 ? 1 : m.count;
// In case the RP doesn't populate total, we calculate total from the average * count.
if (m.total == 0 && m.average != 0)
{
lastSeen.Total += m.average * lastSeen.Count;
}
else
{
lastSeen.Total += m.total;
}
if (m.maximum > lastSeen.Maximum)
{
lastSeen.Maximum = m.maximum;
}
if (m.minimum < lastSeen.Minimum)
{
lastSeen.Minimum = m.minimum;
}
}
public async Task<HttpResponseMessage> MetricThreshold(string triggerState,
[Metadata("Resource Id", "Provide a resource Id that you want metrics from.")] string resource,
[Metadata("Metric name", "Which metric you want to trigger on.")] string metricName,
[Metadata("Threshold", "The threshold for the metric.")] double threshold,
[Metadata("Duration (minutes)", "Optional. The number of minutes of metric data you want. Default is 15 minutes.", VisibilityType.Advanced)] double minutes = 15,
[Metadata("Time aggregation", "Optional. How data is combined over the time window. Default is average.", VisibilityType.Advanced)] TimeAggregationType timeAggregation = TimeAggregationType.Average,
[Metadata("Operator", "Optional. The operation to use when comparing the metrics with the threshold. Default is greater than.", VisibilityType.Advanced)] ComparisonOperationType operation = ComparisonOperationType.GreaterThan
)
{
var data = await GetMetricData(resource, metricName, DateTime.UtcNow.AddMinutes(-1 * minutes), DateTime.UtcNow).ConfigureAwait(continueOnCapturedContext: false);
var outValue = new Microsoft.Azure.Insights.Models.MetricValue()
{
Average = data.Select(x => x.Average).Average(),
Maximum = data.Select(x => x.Maximum).Max(),
Minimum = data.Select(x => x.Minimum).Min(),
Count = data.Select(x => x.Count).Sum(),
Total = data.Select(x => x.Total).Sum(),
Timestamp = data.Select(x => x.Timestamp).Max()
};
var outAggregation = 0.0;
switch (timeAggregation)
{
case TimeAggregationType.Count:
outAggregation = Convert.ToDouble(outValue.Count);
break;
case TimeAggregationType.Maximum:
outAggregation = Convert.ToDouble(outValue.Maximum);
break;
case TimeAggregationType.Minimum:
outAggregation = Convert.ToDouble(outValue.Minimum);
break;
case TimeAggregationType.Total:
outAggregation = Convert.ToDouble(outValue.Total);
break;
default:
outAggregation = Convert.ToDouble(outValue.Average);
break;
}
var thresholdPassed = false;
switch (operation)
{
case ComparisonOperationType.Equals:
thresholdPassed = (outAggregation == threshold);
break;
case ComparisonOperationType.GreaterThanOrEqual:
thresholdPassed = (outAggregation >= threshold);
break;
case ComparisonOperationType.LessThan:
thresholdPassed = (outAggregation < threshold);
break;
case ComparisonOperationType.LessThanOrEqual:
thresholdPassed = (outAggregation <= threshold);
break;
case ComparisonOperationType.NotEquals:
thresholdPassed = (outAggregation != threshold);
break;
default:
thresholdPassed = (outAggregation > threshold);
break;
}
if (thresholdPassed && (triggerState == null || triggerState.Equals("")))
{
// If there are other events to process tell the engine to get an new event every second
return Request.EventTriggered(outValue,
triggerState: "LastEvent/" + outValue.Timestamp.ToString("o"),
pollAgain: null);
}
// Let the Logic App know we don't have any data for it
return Request.EventWaitPoll(retryDelay: null, triggerState: thresholdPassed ? triggerState : "");
}
private static void Aggregate(MetricValue lastSeen, MetricValueBlob m)
{
lastSeen.Average += m.total;
lastSeen.Total += m.total;
lastSeen.Count += m.count;
if (m.maximum > lastSeen.Maximum)
{
lastSeen.Maximum = m.maximum;
}
if (m.minimum < lastSeen.Minimum)
{
lastSeen.Minimum = m.minimum;
}
}
private void AreEqual(MetricValue exp, MetricValue act)
{
if (exp != null)
{
Assert.Equal(exp.Average, act.Average);
Assert.Equal(exp.Count, act.Count);
Assert.Equal(exp.Last, act.Last);
Assert.Equal(exp.Maximum, act.Maximum);
Assert.Equal(exp.Minimum, act.Minimum);
Assert.Equal(exp.Timestamp.ToUniversalTime(), act.Timestamp.ToUniversalTime());
Assert.Equal(exp.Total, act.Total);
AreEqual(exp.Properties, act.Properties);
}
}
