broke scrutiny_repository.go into multiple files for easier exploration & maintenance.
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@@ -13,7 +13,6 @@ import (
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"github.com/sirupsen/logrus"
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"gorm.io/driver/sqlite"
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"gorm.io/gorm"
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"strings"
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"time"
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)
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@@ -452,70 +451,3 @@ func (sr *scrutinyRepository) lookupNestedDurationKeys(durationKey string) []str
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}
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return []string{DURATION_KEY_WEEK}
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}
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func (sr *scrutinyRepository) aggregateTempQuery(durationKey string) string {
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/*
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import "influxdata/influxdb/schema"
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weekData = from(bucket: "metrics")
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|> range(start: -1w, stop: now())
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|> filter(fn: (r) => r["_measurement"] == "temp" )
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|> aggregateWindow(every: 1h, fn: mean, createEmpty: false)
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|> group(columns: ["device_wwn"])
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|> toInt()
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monthData = from(bucket: "metrics_weekly")
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|> range(start: -1mo, stop: now())
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|> filter(fn: (r) => r["_measurement"] == "temp" )
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|> aggregateWindow(every: 1h, fn: mean, createEmpty: false)
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|> group(columns: ["device_wwn"])
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|> toInt()
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union(tables: [weekData, monthData])
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|> group(columns: ["device_wwn"])
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|> sort(columns: ["_time"], desc: false)
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|> schema.fieldsAsCols()
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*/
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partialQueryStr := []string{
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`import "influxdata/influxdb/schema"`,
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}
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nestedDurationKeys := sr.lookupNestedDurationKeys(durationKey)
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subQueryNames := []string{}
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for _, nestedDurationKey := range nestedDurationKeys {
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bucketName := sr.lookupBucketName(nestedDurationKey)
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durationRange := sr.lookupDuration(nestedDurationKey)
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subQueryNames = append(subQueryNames, fmt.Sprintf(`%sData`, nestedDurationKey))
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partialQueryStr = append(partialQueryStr, []string{
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fmt.Sprintf(`%sData = from(bucket: "%s")`, nestedDurationKey, bucketName),
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fmt.Sprintf(`|> range(start: %s, stop: %s)`, durationRange[0], durationRange[1]),
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`|> filter(fn: (r) => r["_measurement"] == "temp" )`,
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`|> aggregateWindow(every: 1h, fn: mean, createEmpty: false)`,
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`|> group(columns: ["device_wwn"])`,
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`|> toInt()`,
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"",
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}...)
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}
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if len(subQueryNames) == 1 {
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//there's only one bucket being queried, no need to union, just aggregate the dataset and return
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partialQueryStr = append(partialQueryStr, []string{
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subQueryNames[0],
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"|> schema.fieldsAsCols()",
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"|> yield()",
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}...)
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} else {
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partialQueryStr = append(partialQueryStr, []string{
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fmt.Sprintf("union(tables: [%s])", strings.Join(subQueryNames, ", ")),
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`|> group(columns: ["device_wwn"])`,
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`|> sort(columns: ["_time"], desc: false)`,
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"|> schema.fieldsAsCols()",
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}...)
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}
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return strings.Join(partialQueryStr, "\n")
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}
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@@ -6,6 +6,7 @@ import (
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"github.com/analogj/scrutiny/webapp/backend/pkg/models/collector"
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"github.com/analogj/scrutiny/webapp/backend/pkg/models/measurements"
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influxdb2 "github.com/influxdata/influxdb-client-go/v2"
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"strings"
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"time"
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)
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@@ -93,3 +94,74 @@ func (sr *scrutinyRepository) GetSmartTemperatureHistory(ctx context.Context, du
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return deviceTempHistory, nil
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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// Helper Methods
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////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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func (sr *scrutinyRepository) aggregateTempQuery(durationKey string) string {
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/*
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import "influxdata/influxdb/schema"
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weekData = from(bucket: "metrics")
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|> range(start: -1w, stop: now())
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|> filter(fn: (r) => r["_measurement"] == "temp" )
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|> aggregateWindow(every: 1h, fn: mean, createEmpty: false)
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|> group(columns: ["device_wwn"])
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|> toInt()
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monthData = from(bucket: "metrics_weekly")
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|> range(start: -1mo, stop: now())
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|> filter(fn: (r) => r["_measurement"] == "temp" )
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|> aggregateWindow(every: 1h, fn: mean, createEmpty: false)
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|> group(columns: ["device_wwn"])
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|> toInt()
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union(tables: [weekData, monthData])
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|> group(columns: ["device_wwn"])
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|> sort(columns: ["_time"], desc: false)
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|> schema.fieldsAsCols()
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*/
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partialQueryStr := []string{
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`import "influxdata/influxdb/schema"`,
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}
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nestedDurationKeys := sr.lookupNestedDurationKeys(durationKey)
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subQueryNames := []string{}
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for _, nestedDurationKey := range nestedDurationKeys {
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bucketName := sr.lookupBucketName(nestedDurationKey)
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durationRange := sr.lookupDuration(nestedDurationKey)
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subQueryNames = append(subQueryNames, fmt.Sprintf(`%sData`, nestedDurationKey))
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partialQueryStr = append(partialQueryStr, []string{
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fmt.Sprintf(`%sData = from(bucket: "%s")`, nestedDurationKey, bucketName),
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fmt.Sprintf(`|> range(start: %s, stop: %s)`, durationRange[0], durationRange[1]),
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`|> filter(fn: (r) => r["_measurement"] == "temp" )`,
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`|> aggregateWindow(every: 1h, fn: mean, createEmpty: false)`,
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`|> group(columns: ["device_wwn"])`,
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`|> toInt()`,
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"",
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}...)
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}
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if len(subQueryNames) == 1 {
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//there's only one bucket being queried, no need to union, just aggregate the dataset and return
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partialQueryStr = append(partialQueryStr, []string{
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subQueryNames[0],
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"|> schema.fieldsAsCols()",
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"|> yield()",
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}...)
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} else {
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partialQueryStr = append(partialQueryStr, []string{
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fmt.Sprintf("union(tables: [%s])", strings.Join(subQueryNames, ", ")),
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`|> group(columns: ["device_wwn"])`,
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`|> sort(columns: ["_time"], desc: false)`,
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"|> schema.fieldsAsCols()",
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}...)
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}
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return strings.Join(partialQueryStr, "\n")
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}
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