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batch.go
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batch.go
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package models
import (
"encoding/json"
"fmt"
"sort"
"time"
"github.com/influxdb/influxdb/client"
"github.com/influxdb/influxdb/models"
)
// A point in batch, similar to Point but most information is
// found on the containing Batch.
//
// Tags on a BatchPoint are a superset of the tags on the Batch
// All points in a batch should have the same tag and field keys.
type BatchPoint struct {
Time time.Time `json:"time"`
Fields Fields `json:"fields"`
Tags Tags `json:"tags"`
}
func BatchPointFromPoint(p Point) BatchPoint {
return BatchPoint{
Time: p.Time,
Fields: p.Fields,
Tags: p.Tags,
}
}
type Batch struct {
Name string `json:"name,omitempty"`
Group GroupID `json:"-"`
TMax time.Time `json:"-"`
Tags map[string]string `json:"tags,omitempty"`
Points []BatchPoint `json:"points,omitempty"`
}
func (b Batch) PointName() string {
return b.Name
}
func (b Batch) PointGroup() GroupID {
return b.Group
}
func (b Batch) PointTime() time.Time {
return b.TMax
}
func (b Batch) PointFields() Fields {
if len(b.Points) > 0 {
return b.Points[0].Fields
}
return nil
}
func (b Batch) PointTags() Tags {
return b.Tags
}
func (b Batch) PointDimensions() []string {
return nil
}
func BatchToRow(b Batch) (row *models.Row) {
row = &models.Row{
Name: b.Name,
Tags: b.Tags,
}
if len(b.Points) == 0 {
return
}
row.Columns = []string{"time"}
p := b.Points[0]
for f := range p.Fields {
row.Columns = append(row.Columns, f)
}
// Append tags that are not on the batch
for t := range p.Tags {
if _, ok := b.Tags[t]; !ok {
row.Columns = append(row.Columns, t)
}
}
// Sort all columns but leave time as first
sort.Strings(row.Columns[1:])
row.Values = make([][]interface{}, len(b.Points))
for i, p := range b.Points {
row.Values[i] = make([]interface{}, len(row.Columns))
row.Values[i][0] = p.Time
for j, c := range row.Columns[1:] {
if v, ok := p.Fields[c]; ok {
row.Values[i][j+1] = v
} else if v, ok := p.Tags[c]; ok {
row.Values[i][j+1] = v
}
}
}
return
}
func ResultToBatches(res client.Result) ([]Batch, error) {
if res.Err != nil {
return nil, res.Err
}
batches := make([]Batch, len(res.Series))
for i, series := range res.Series {
groupID := TagsToGroupID(
SortedKeys(series.Tags),
series.Tags,
)
b := Batch{
Name: series.Name,
Group: groupID,
Tags: series.Tags,
}
b.Points = make([]BatchPoint, 0, len(series.Values))
for _, v := range series.Values {
var skip bool
fields := make(Fields)
var t time.Time
for i, c := range series.Columns {
if c == "time" {
tStr, ok := v[i].(string)
if !ok {
return nil, fmt.Errorf("unexpected time value: %v", v[i])
}
var err error
t, err = time.Parse(time.RFC3339Nano, tStr)
if err != nil {
t, err = time.Parse(time.RFC3339, tStr)
if err != nil {
return nil, fmt.Errorf("unexpected time format: %v", err)
}
}
} else {
value := v[i]
if n, ok := value.(json.Number); ok {
f, err := n.Float64()
if err == nil {
value = f
}
}
if value == nil {
skip = true
break
}
fields[c] = value
}
}
if !skip {
if t.After(b.TMax) {
b.TMax = t
}
b.Points = append(
b.Points,
BatchPoint{Time: t, Fields: fields, Tags: b.Tags},
)
}
}
batches[i] = b
}
return batches, nil
}