GoogleCloudMonitoring: Refactor metricType input (#59369)

* GoogleCloudMonitoring: Refactor metricType input

* Remove preprocessor in favor of secondary inputs (#59384)
This commit is contained in:
Andres Martinez Gotor
2022-11-29 12:39:45 +01:00
committed by GitHub
parent 5011b259c7
commit 6127409ab3
3 changed files with 138 additions and 58 deletions
+90 -38
View File
@@ -206,6 +206,46 @@ func newInstanceSettings(httpClientProvider httpclient.Provider) datasource.Inst
}
}
func migrateMetricTypeFilter(metricTypeFilter string, prevFilters interface{}) []string {
metricTypeFilterArray := []string{"metric.type", "=", metricTypeFilter}
if prevFilters != nil {
filtersIface := prevFilters.([]interface{})
filters := []string{}
for _, f := range filtersIface {
filters = append(filters, f.(string))
}
metricTypeFilterArray = append([]string{"AND"}, metricTypeFilterArray...)
return append(filters, metricTypeFilterArray...)
}
return metricTypeFilterArray
}
func migratePreprocessor(tsl *timeSeriesList, preprocessor string) {
// In case a preprocessor is defined, the preprocessor becomes the primary aggregation
// and the aggregation that is specified in the UI becomes the secondary aggregation
// Rules are specified in this issue: https://github.com/grafana/grafana/issues/30866
t := toPreprocessorType(preprocessor)
if t != PreprocessorTypeNone {
// Move aggregation to secondaryAggregation
tsl.SecondaryAlignmentPeriod = tsl.AlignmentPeriod
tsl.SecondaryCrossSeriesReducer = tsl.CrossSeriesReducer
tsl.SecondaryPerSeriesAligner = tsl.PerSeriesAligner
tsl.SecondaryGroupBys = tsl.GroupBys
// Set a default cross series reducer if grouped
if len(tsl.GroupBys) == 0 {
tsl.CrossSeriesReducer = crossSeriesReducerDefault
}
// Set aligner based on preprocessor type
aligner := "ALIGN_RATE"
if t == PreprocessorTypeDelta {
aligner = "ALIGN_DELTA"
}
tsl.PerSeriesAligner = aligner
}
}
func migrateRequest(req *backend.QueryDataRequest) error {
for i, q := range req.Queries {
var rawQuery map[string]interface{}
@@ -228,6 +268,13 @@ func migrateRequest(req *backend.QueryDataRequest) error {
if rawQuery["aliasBy"] != nil {
gq.AliasBy = rawQuery["aliasBy"].(string)
}
if rawQuery["metricType"] != nil {
// metricType should be a filter
gq.TimeSeriesList.Filters = migrateMetricTypeFilter(rawQuery["metricType"].(string), rawQuery["filters"])
}
if rawQuery["preprocessor"] != nil {
migratePreprocessor(gq.TimeSeriesList, rawQuery["preprocessor"].(string))
}
b, err := json.Marshal(gq)
if err != nil {
@@ -255,7 +302,23 @@ func migrateRequest(req *backend.QueryDataRequest) error {
GraphPeriod: toString(metricQuery["graphPeriod"]),
}
} else {
rawQuery["timeSeriesList"] = metricQuery
tslb, err := json.Marshal(metricQuery)
if err != nil {
return err
}
tsl := &timeSeriesList{}
err = json.Unmarshal(tslb, tsl)
if err != nil {
return err
}
if metricQuery["metricType"] != nil {
// metricType should be a filter
tsl.Filters = migrateMetricTypeFilter(metricQuery["metricType"].(string), metricQuery["filters"])
}
if rawQuery["preprocessor"] != nil {
migratePreprocessor(tsl, rawQuery["preprocessor"].(string))
}
rawQuery["timeSeriesList"] = tsl
}
if metricQuery["aliasBy"] != nil {
rawQuery["aliasBy"] = metricQuery["aliasBy"]
@@ -273,18 +336,18 @@ func migrateRequest(req *backend.QueryDataRequest) error {
// SloQuery was merged into timeSeriesList
if rawQuery["sloQuery"] != nil {
if rawQuery["timeSeriesList"] == nil {
rawQuery["timeSeriesList"] = map[string]interface{}{}
rawQuery["timeSeriesList"] = &timeSeriesList{}
}
tsl := rawQuery["timeSeriesList"].(map[string]interface{})
tsl := rawQuery["timeSeriesList"].(*timeSeriesList)
sloq := rawQuery["sloQuery"].(map[string]interface{})
if sloq["projectName"] != nil {
tsl["projectName"] = sloq["projectName"]
tsl.ProjectName = sloq["projectName"].(string)
}
if sloq["alignmentPeriod"] != nil {
tsl["alignmentPeriod"] = sloq["alignmentPeriod"]
tsl.AlignmentPeriod = sloq["alignmentPeriod"].(string)
}
if sloq["perSeriesAligner"] != nil {
tsl["perSeriesAligner"] = sloq["perSeriesAligner"]
tsl.PerSeriesAligner = sloq["perSeriesAligner"].(string)
}
rawQuery["timeSeriesList"] = tsl
b, err := json.Marshal(rawQuery)
@@ -399,7 +462,7 @@ func (s *Service) buildQueryExecutors(logger log.Logger, req *backend.QueryDataR
q.TimeSeriesList.View = "FULL"
}
cmtsf.parameters = q.TimeSeriesList
params.Add("filter", buildFilterString(q.TimeSeriesList.MetricType, q.TimeSeriesList.Filters))
params.Add("filter", buildFilterString(q.TimeSeriesList.Filters))
params.Add("view", q.TimeSeriesList.View)
setMetricAggParams(&params, q.TimeSeriesList, durationSeconds, query.Interval.Milliseconds())
queryInterface = cmtsf
@@ -452,7 +515,7 @@ func interpolateFilterWildcards(value string) string {
return value
}
func buildFilterString(metricType string, filterParts []string) string {
func buildFilterString(filterParts []string) string {
filterString := ""
for i, part := range filterParts {
mod := i % 4
@@ -475,7 +538,7 @@ func buildFilterString(metricType string, filterParts []string) string {
}
}
return strings.Trim(fmt.Sprintf(`metric.type="%s" %s`, metricType, filterString), " ")
return strings.Trim(filterString, " ")
}
func buildSLOFilterExpression(projectName string, q *sloQuery) string {
@@ -498,41 +561,30 @@ func setMetricAggParams(params *url.Values, query *timeSeriesList, durationSecon
}
alignmentPeriod := calculateAlignmentPeriod(query.AlignmentPeriod, intervalMs, durationSeconds)
// In case a preprocessor is defined, the preprocessor becomes the primary aggregation
// and the aggregation that is specified in the UI becomes the secondary aggregation
// Rules are specified in this issue: https://github.com/grafana/grafana/issues/30866
t := toPreprocessorType(query.Preprocessor)
if t != PreprocessorTypeNone {
params.Add("secondaryAggregation.alignmentPeriod", alignmentPeriod)
params.Add("secondaryAggregation.crossSeriesReducer", query.CrossSeriesReducer)
params.Add("secondaryAggregation.perSeriesAligner", query.PerSeriesAligner)
primaryCrossSeriesReducer := crossSeriesReducerDefault
if len(query.GroupBys) > 0 {
primaryCrossSeriesReducer = query.CrossSeriesReducer
}
params.Add("aggregation.crossSeriesReducer", primaryCrossSeriesReducer)
aligner := "ALIGN_RATE"
if t == PreprocessorTypeDelta {
aligner = "ALIGN_DELTA"
}
params.Add("aggregation.perSeriesAligner", aligner)
for _, groupBy := range query.GroupBys {
params.Add("secondaryAggregation.groupByFields", groupBy)
}
} else {
params.Add("aggregation.alignmentPeriod", alignmentPeriod)
if query.CrossSeriesReducer != "" {
params.Add("aggregation.crossSeriesReducer", query.CrossSeriesReducer)
}
if query.PerSeriesAligner != "" {
params.Add("aggregation.perSeriesAligner", query.PerSeriesAligner)
}
params.Add("aggregation.alignmentPeriod", alignmentPeriod)
for _, groupBy := range query.GroupBys {
params.Add("aggregation.groupByFields", groupBy)
}
if query.SecondaryAlignmentPeriod != "" {
secondaryAlignmentPeriod := calculateAlignmentPeriod(query.AlignmentPeriod, intervalMs, durationSeconds)
params.Add("secondaryAggregation.alignmentPeriod", secondaryAlignmentPeriod)
}
if query.SecondaryCrossSeriesReducer != "" {
params.Add("secondaryAggregation.crossSeriesReducer", query.SecondaryCrossSeriesReducer)
}
if query.SecondaryPerSeriesAligner != "" {
params.Add("secondaryAggregation.perSeriesAligner", query.SecondaryPerSeriesAligner)
}
for _, groupBy := range query.SecondaryGroupBys {
params.Add("secondaryAggregation.groupByFields", groupBy)
}
}
func setSloAggParams(params *url.Values, query *sloQuery, alignmentPeriod string, durationSeconds int, intervalMs int64) {