/
time_series_set.go
266 lines (243 loc) · 6.86 KB
/
time_series_set.go
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package timeseries
import (
"encoding/json"
"errors"
"fmt"
"os"
"sort"
"strings"
"time"
"github.com/grokify/mogo/sort/sortutil"
"github.com/grokify/mogo/time/month"
"github.com/grokify/mogo/time/timeutil"
"github.com/grokify/mogo/time/year"
"github.com/grokify/mogo/type/stringsutil"
)
// TimeSeriesSet is a data structure to manage a set of similar `TimeSeries`.
// It is necessary for all `TimeSeries` to have the same value of `IsFloat`.
type TimeSeriesSet struct {
Name string
Series map[string]TimeSeries
Times []time.Time
Order []string
ActualTargetPairs []ActualTargetPair
IsFloat bool
Interval timeutil.Interval
}
// ActualTargetPair provides metadata on associating two series names that
// represent actual and target data. This can be used to product additional
// data in charts and tables.
type ActualTargetPair struct {
ActualSeriesName string
TargetSeriesName string
}
// NewTimeSeriesSet returns an initialized `TimeSeriesSet`.
func NewTimeSeriesSet(name string) TimeSeriesSet {
return TimeSeriesSet{
Name: name,
Series: map[string]TimeSeries{},
Times: []time.Time{},
Order: []string{}}
}
// ReadFileTimeSeriesSet reads a time series set file in JSON.
func ReadFileTimeSeriesSet(filename string) (TimeSeriesSet, error) {
data, err := os.ReadFile(filename)
if err != nil {
return TimeSeriesSet{}, err
}
var tset TimeSeriesSet
return tset, json.Unmarshal(data, &tset)
}
// AddInt64 adds an `int64` value, converting it to a `float64` if necssary based on
// set definition.
func (set *TimeSeriesSet) AddInt64(seriesName string, dt time.Time, value int64) {
item := TimeItem{
SeriesSetName: set.Name,
SeriesName: seriesName,
Time: dt,
IsFloat: set.IsFloat}
if set.IsFloat {
item.ValueFloat = float64(value)
} else {
item.Value = value
}
set.AddItems(item)
}
// AddFloat64 adds an `int64` value, converting it to a `int64` if necssary based on
// set definition.
func (set *TimeSeriesSet) AddFloat64(seriesName string, dt time.Time, value float64) {
item := TimeItem{
SeriesSetName: set.Name,
SeriesName: seriesName,
Time: dt,
IsFloat: set.IsFloat}
if set.IsFloat {
item.ValueFloat = value
} else {
item.Value = int64(value)
}
set.AddItems(item)
}
func (set *TimeSeriesSet) AddItems(items ...TimeItem) {
for _, item := range items {
if _, ok := set.Series[item.SeriesName]; !ok {
set.Series[item.SeriesName] =
TimeSeries{
SeriesSetName: set.Name,
SeriesName: item.SeriesName,
ItemMap: map[string]TimeItem{},
IsFloat: item.IsFloat,
Interval: set.Interval}
}
ts := set.Series[item.SeriesName]
ts.AddItems(item)
set.Series[item.SeriesName] = ts
set.Times = append(set.Times, item.Time)
}
}
func (set *TimeSeriesSet) AddSeries(timeSeries ...TimeSeries) error {
for _, ts := range timeSeries {
ts.SeriesName = strings.TrimSpace(ts.SeriesName)
if len(ts.SeriesName) == 0 {
return errors.New("E_TImeSeriesSet.AddTimeSeries_NO_DataSeries.SeriesName")
}
for _, item := range ts.ItemMap {
if len(item.SeriesName) == 0 || item.SeriesName != ts.SeriesName {
item.SeriesName = ts.SeriesName
}
set.AddItems(item)
}
}
return nil
}
func (set *TimeSeriesSet) Inflate() {
set.Times = set.TimeSlice(true)
if len(set.Order) > 0 {
set.Order = stringsutil.SliceCondenseSpace(set.Order, true, false)
} else {
order := []string{}
for name := range set.Series {
order = append(order, name)
}
sort.Strings(order)
set.Order = order
}
}
func (set *TimeSeriesSet) SeriesNames() []string {
seriesNames := []string{}
for seriesName := range set.Series {
seriesNames = append(seriesNames, seriesName)
}
sort.Strings(seriesNames)
return seriesNames
}
func (set *TimeSeriesSet) GetSeriesByIndex(index int) (TimeSeries, error) {
if len(set.Order) == 0 && len(set.Series) > 0 {
set.Inflate()
}
if index < len(set.Order) {
name := set.Order[index]
if ds, ok := set.Series[name]; ok {
return ds, nil
}
}
return TimeSeries{}, fmt.Errorf("E_CANNOT_FIND_INDEX_[%d]_SET_COUNT_[%d]", index, len(set.Order))
}
func (set *TimeSeriesSet) Item(seriesName, rfc3339 string) (TimeItem, error) {
di := TimeItem{}
dss, ok := set.Series[seriesName]
if !ok {
return di, fmt.Errorf("SeriesName not found [%s]", seriesName)
}
item, ok := dss.ItemMap[rfc3339]
if !ok {
return di, fmt.Errorf("SeriesName found [%s] Time not found [%s]", seriesName, rfc3339)
}
return item, nil
}
func (set *TimeSeriesSet) TimeSlice(sortAsc bool) timeutil.Times {
times := []time.Time{}
for _, ts := range set.Series {
for _, item := range ts.ItemMap {
tm := timeutil.NewTimeMore(item.Time, 0)
if set.Interval == timeutil.IntervalYear && !tm.IsYearStart() {
panic("timeitem for TimeSeriesSet year is not a year start")
} else if set.Interval == timeutil.IntervalMonth && !tm.IsMonthStart() {
panic("timeitem for TimeSeriesSet month is not a month start")
}
times = append(times, item.Time)
}
}
times = timeutil.Sort(timeutil.Distinct(times))
switch set.Interval {
case timeutil.IntervalMonth:
return month.TimesMonthStarts(times...)
case timeutil.IntervalYear:
return year.TimesYearStarts(times...)
}
return times
}
func (set *TimeSeriesSet) TimeStrings() []string {
times := []string{}
for _, ds := range set.Series {
for rfc3339 := range ds.ItemMap {
times = append(times, rfc3339)
}
}
return stringsutil.SliceCondenseSpace(times, true, true)
}
func (set *TimeSeriesSet) MinMaxTimes() (time.Time, time.Time) {
values := timeutil.Times{}
for _, ds := range set.Series {
min, max := ds.MinMaxTimes()
values = append(values, min, max)
}
sort.Sort(values)
return values[0], values[len(values)-1]
}
func (set *TimeSeriesSet) MinMaxValues() (int64, int64) {
values := []int64{} // sortutil.Int64Slice{}
for _, ds := range set.Series {
min, max := ds.MinMaxValues()
values = append(values, min, max)
}
sortutil.Slice(values)
return values[0], values[len(values)-1]
}
func (set *TimeSeriesSet) MinMaxValuesFloat64() (float64, float64) {
values := sort.Float64Slice{}
for _, ds := range set.Series {
min, max := ds.MinMaxValuesFloat64()
values = append(values, min, max)
}
sort.Sort(values)
return values[0], values[len(values)-1]
}
type RowInt64 struct {
Name string
DisplayName string
HavePlusOne bool
ValuePlusOne int64
Values []int64
}
func (row *RowInt64) Flatten(conv func(v int64) string) []string {
strs := []string{row.Name}
for _, v := range row.Values {
strs = append(strs, conv(v))
}
return strs
}
type RowFloat64 struct {
Name string
Values []float64
}
func (row *RowFloat64) Flatten(conv func(v float64) string, preCount int, preVal string) []string {
strs := []string{row.Name}
for i := 0; i < preCount; i++ {
strs = append(strs, preVal)
}
for _, v := range row.Values {
strs = append(strs, conv(v))
}
return strs
}