/* © Copyright IBM Corporation 2018 Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ // Package metrics contains code to provide metrics for the queue manager package metrics import ( "strings" "time" "github.com/ibm-messaging/mq-container/internal/logger" "github.com/ibm-messaging/mq-golang/mqmetric" ) const ( qmgrLabelValue = mqmetric.QMgrMapKey requestTimeout = 10 ) var ( requestChannel = make(chan bool) responseChannel = make(chan map[string]*metricData) ) type metricData struct { name string description string objectType bool values map[string]float64 } // processMetrics processes publications of metric data and handles describe/collect requests func processMetrics(log *logger.Logger) { // Initialise metrics metrics := initialiseMetrics() for { // Process publications of metric data mqmetric.ProcessPublications() // Handle describe/collect requests select { case collect := <-requestChannel: if collect { updateMetrics(metrics) } responseChannel <- metrics case <-time.After(requestTimeout * time.Second): log.Debugf("Metrics: No requests received within timeout period (%d seconds)", requestTimeout) } } } // initialiseMetrics sets initial details for all available metrics func initialiseMetrics() map[string]*metricData { metrics := make(map[string]*metricData) for _, metricClass := range mqmetric.Metrics.Classes { for _, metricType := range metricClass.Types { if !strings.Contains(metricType.ObjectTopic, "%s") { for _, metricElement := range metricType.Elements { metric := metricData{ name: metricElement.MetricName, description: metricElement.Description, } key := makeKey(metricElement) metrics[key] = &metric } } } } return metrics } // updateMetrics updates values for all available metrics func updateMetrics(metrics map[string]*metricData) { for _, metricClass := range mqmetric.Metrics.Classes { for _, metricType := range metricClass.Types { if !strings.Contains(metricType.ObjectTopic, "%s") { for _, metricElement := range metricType.Elements { // Clear existing metric values metric := metrics[makeKey(metricElement)] metric.values = make(map[string]float64) // Update metric with cached values of publication data for label, value := range metricElement.Values { normalisedValue := mqmetric.Normalise(metricElement, label, value) metric.values[label] = normalisedValue } // Reset cached values of publication data for this metric metricElement.Values = make(map[string]int64) } } } } } // makeKey builds a unique key for each metric func makeKey(metricElement *mqmetric.MonElement) string { return metricElement.Parent.Parent.Name + "/" + metricElement.Parent.Name + "/" + metricElement.MetricName }