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convert.go
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convert.go
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package telegraf
import (
"fmt"
"sort"
"time"
"github.com/grafana/grafana-plugin-sdk-go/data"
"github.com/grafana/grafana-plugin-sdk-go/data/converters"
influx "github.com/influxdata/line-protocol"
"github.com/grafana/grafana/pkg/infra/log"
"github.com/grafana/grafana/pkg/services/live/telemetry"
)
var (
logger = log.New("live.telemetry.telegraf")
)
var _ telemetry.Converter = (*Converter)(nil)
// Converter converts Telegraf metrics to Grafana frames.
type Converter struct {
parser *influx.Parser
useLabelsColumn bool
useFloat64Numbers bool
}
// ConverterOption ...
type ConverterOption func(*Converter)
// WithUseLabelsColumn ...
func WithUseLabelsColumn(enabled bool) ConverterOption {
return func(h *Converter) {
h.useLabelsColumn = enabled
}
}
// WithFloat64Numbers will convert all numbers met to float64 type.
func WithFloat64Numbers(enabled bool) ConverterOption {
return func(h *Converter) {
h.useFloat64Numbers = enabled
}
}
// NewConverter creates new Converter from Influx/Telegraf format to Grafana Data Frames.
// This converter generates one frame for each input metric name and time combination.
func NewConverter(opts ...ConverterOption) *Converter {
c := &Converter{
parser: influx.NewParser(influx.NewMetricHandler()),
}
for _, opt := range opts {
opt(c)
}
return c
}
// Each unique metric frame identified by name and time.
func getFrameKey(m influx.Metric) string {
return m.Name() + "_" + m.Time().String()
}
// Convert metrics.
func (c *Converter) Convert(body []byte) ([]telemetry.FrameWrapper, error) {
metrics, err := c.parser.Parse(body)
if err != nil {
return nil, fmt.Errorf("error parsing metrics: %w", err)
}
if !c.useLabelsColumn {
return c.convertWideFields(metrics)
}
return c.convertWithLabelsColumn(metrics)
}
func (c *Converter) convertWideFields(metrics []influx.Metric) ([]telemetry.FrameWrapper, error) {
// maintain the order of frames as they appear in input.
var frameKeyOrder []string
metricFrames := make(map[string]*metricFrame)
for _, m := range metrics {
frameKey := getFrameKey(m)
frame, ok := metricFrames[frameKey]
if ok {
// Existing frame.
err := frame.extend(m)
if err != nil {
return nil, err
}
} else {
frameKeyOrder = append(frameKeyOrder, frameKey)
frame = newMetricFrame(m, c.useFloat64Numbers)
err := frame.extend(m)
if err != nil {
return nil, err
}
metricFrames[frameKey] = frame
}
}
frameWrappers := make([]telemetry.FrameWrapper, 0, len(metricFrames))
for _, key := range frameKeyOrder {
frameWrappers = append(frameWrappers, metricFrames[key])
}
return frameWrappers, nil
}
func (c *Converter) convertWithLabelsColumn(metrics []influx.Metric) ([]telemetry.FrameWrapper, error) {
// maintain the order of frames as they appear in input.
var frameKeyOrder []string
metricFrames := make(map[string]*metricFrame)
for _, m := range metrics {
frameKey := m.Name()
frame, ok := metricFrames[frameKey]
if ok {
// Existing frame.
err := frame.append(m)
if err != nil {
return nil, err
}
} else {
frameKeyOrder = append(frameKeyOrder, frameKey)
frame = newMetricFrameLabelsColumn(m, c.useFloat64Numbers)
err := frame.append(m)
if err != nil {
return nil, err
}
metricFrames[frameKey] = frame
}
}
frameWrappers := make([]telemetry.FrameWrapper, 0, len(metricFrames))
for _, key := range frameKeyOrder {
frame := metricFrames[key]
// For all fields except labels and time fill columns with nulls in
// case of unequal length.
for i := 2; i < len(frame.fields); i++ {
if frame.fields[i].Len() < frame.fields[0].Len() {
numNulls := frame.fields[0].Len() - frame.fields[i].Len()
for j := 0; j < numNulls; j++ {
frame.fields[i].Append(nil)
}
}
}
frameWrappers = append(frameWrappers, frame)
}
return frameWrappers, nil
}
type metricFrame struct {
useFloatNumbers bool
key string
fields []*data.Field
fieldCache map[string]int
}
// newMetricFrame will return a new frame with length 1.
func newMetricFrame(m influx.Metric, useFloatNumbers bool) *metricFrame {
s := &metricFrame{
useFloatNumbers: useFloatNumbers,
key: m.Name(),
fields: make([]*data.Field, 1),
}
s.fields[0] = data.NewField("time", nil, []time.Time{m.Time()})
return s
}
// newMetricFrame will return a new frame with length 1.
func newMetricFrameLabelsColumn(m influx.Metric, useFloatNumbers bool) *metricFrame {
s := &metricFrame{
useFloatNumbers: useFloatNumbers,
key: m.Name(),
fields: make([]*data.Field, 2),
fieldCache: map[string]int{},
}
s.fields[0] = data.NewField("labels", nil, []string{})
s.fields[1] = data.NewField("time", nil, []time.Time{})
return s
}
// Key returns a key which describes Frame metrics.
func (s *metricFrame) Key() string {
return s.key
}
// Frame transforms metricFrame to Grafana data.Frame.
func (s *metricFrame) Frame() *data.Frame {
return data.NewFrame(s.key, s.fields...)
}
// extend existing metricFrame fields.
func (s *metricFrame) extend(m influx.Metric) error {
fields := m.FieldList()
sort.Slice(fields, func(i, j int) bool {
return fields[i].Key < fields[j].Key
})
labels := tagsToLabels(m.TagList())
for _, f := range fields {
ft, v, err := s.getFieldTypeAndValue(f)
if err != nil {
return err
}
field := data.NewFieldFromFieldType(ft, 1)
field.Name = f.Key
field.Labels = labels
field.Set(0, v)
s.fields = append(s.fields, field)
}
return nil
}
func tagsToLabels(tags []*influx.Tag) data.Labels {
labels := data.Labels{}
for i := 0; i < len(tags); i += 1 {
labels[tags[i].Key] = tags[i].Value
}
return labels
}
// append to existing metricFrame fields.
func (s *metricFrame) append(m influx.Metric) error {
s.fields[0].Append(tagsToLabels(m.TagList()).String()) // TODO, use labels.String()
s.fields[1].Append(m.Time())
fields := m.FieldList()
sort.Slice(fields, func(i, j int) bool {
return fields[i].Key < fields[j].Key
})
for _, f := range fields {
ft, v, err := s.getFieldTypeAndValue(f)
if err != nil {
return err
}
if index, ok := s.fieldCache[f.Key]; ok {
field := s.fields[index]
if ft != field.Type() {
logger.Warn("error appending values", "type", field.Type(), "expect", ft, "value", v, "key", f.Key, "line", m)
if field.Type() == data.FieldTypeNullableString && v != nil {
str := fmt.Sprintf("%v", f.Value)
v = &str
} else {
v = nil
}
}
// If field does not have a desired length till this moment
// we fill it with nulls up to the currently processed index.
if field.Len() < s.fields[0].Len()-1 {
numNulls := s.fields[0].Len() - 1 - field.Len()
for i := 0; i < numNulls; i++ {
field.Append(nil)
}
}
field.Append(v)
} else {
field := data.NewFieldFromFieldType(ft, 0)
field.Name = f.Key
// If field appeared at the moment when we already filled some columns
// we fill it with nulls up to the currently processed index.
if field.Len() < s.fields[0].Len()-1 {
numNulls := s.fields[0].Len() - 1 - field.Len()
for i := 0; i < numNulls; i++ {
field.Append(nil)
}
}
field.Append(v)
s.fields = append(s.fields, field)
s.fieldCache[f.Key] = len(s.fields) - 1
}
}
return nil
}
// float64FieldTypeFor converts all numbers to float64.
// The precision can be lost during big int64 or uint64 conversion to float64.
func float64FieldTypeFor(t interface{}) data.FieldType {
switch t.(type) {
case int8:
return data.FieldTypeFloat64
case int16:
return data.FieldTypeFloat64
case int32:
return data.FieldTypeFloat64
case int64:
return data.FieldTypeFloat64
case uint8:
return data.FieldTypeFloat64
case uint16:
return data.FieldTypeFloat64
case uint32:
return data.FieldTypeFloat64
case uint64:
return data.FieldTypeFloat64
case float32:
return data.FieldTypeFloat64
case float64:
return data.FieldTypeFloat64
case bool:
return data.FieldTypeBool
case string:
return data.FieldTypeString
case time.Time:
return data.FieldTypeTime
}
return data.FieldTypeUnknown
}
func (s *metricFrame) getFieldTypeAndValue(f *influx.Field) (data.FieldType, interface{}, error) {
var ft data.FieldType
if s.useFloatNumbers {
ft = float64FieldTypeFor(f.Value)
} else {
ft = data.FieldTypeFor(f.Value)
}
if ft == data.FieldTypeUnknown {
return ft, nil, fmt.Errorf("unknown type: %t", f.Value)
}
// Make all fields nullable.
ft = ft.NullableType()
convert, ok := getConvertFunc(ft)
if !ok {
return ft, nil, fmt.Errorf("no converter %s=%v (%T) %s", f.Key, f.Value, f.Value, ft.ItemTypeString())
}
v, err := convert(f.Value)
if err != nil {
return ft, nil, fmt.Errorf("value convert error: %v", err)
}
if ft == data.FieldTypeNullableString {
// We observed commercial Telegraf extensions that send NaN values as strings.
// Native Telegraf influx serializer drops fields with NaN values. While this
// fixes an observed scenario we still need to think on a more generic approach
// how to handle occasionally missing fields (maybe on a UI, maybe on a backend side).
if stringVal, ok := v.(*string); ok && stringVal != nil && *stringVal == "NaN" {
return data.FieldTypeNullableFloat64, nil, nil
}
}
return ft, v, nil
}
func getConvertFunc(ft data.FieldType) (func(v interface{}) (interface{}, error), bool) {
var convert func(v interface{}) (interface{}, error)
switch ft {
case data.FieldTypeNullableString:
convert = converters.AnyToNullableString.Converter
case data.FieldTypeNullableFloat64:
convert = converters.JSONValueToNullableFloat64.Converter
case data.FieldTypeNullableBool:
convert = converters.BoolToNullableBool.Converter
case data.FieldTypeNullableInt64:
convert = converters.JSONValueToNullableInt64.Converter
default:
return nil, false
}
return convert, true
}