package indicator

import (
	"time"

	"github.com/c9s/bbgo/pkg/datatype/floats"
	"github.com/c9s/bbgo/pkg/types"
)

const MaxNumOfRMA = 1000
const MaxNumOfRMATruncateSize = 500

// Running Moving Average
// Refer: https://github.com/twopirllc/pandas-ta/blob/main/pandas_ta/overlap/rma.py#L5
// Refer: https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.ewm.html#pandas-dataframe-ewm
//
// The Running Moving Average (RMA) is a technical analysis indicator that is used to smooth price data and reduce the lag associated
// with traditional moving averages. It is calculated by taking the weighted moving average of the input data, with the weighting factors
// determined by the length of the moving average. The resulting average is then plotted on the price chart as a line, which can be used to
// make predictions about future price movements. The RMA is typically more responsive to changes in the underlying data than a simple
// moving average, but may be less reliable in trending markets. It is often used in conjunction with other technical analysis indicators
// to confirm signals or provide additional information about the security's price.

//go:generate callbackgen -type RMA
type RMA struct {
	types.SeriesBase
	types.IntervalWindow

	Values  floats.Slice
	EndTime time.Time

	counter int
	Adjust  bool
	tmp     float64
	sum     float64

	updateCallbacks []func(value float64)
}

func (inc *RMA) Clone() types.UpdatableSeriesExtend {
	out := &RMA{
		IntervalWindow: inc.IntervalWindow,
		Values:         inc.Values[:],
		counter:        inc.counter,
		Adjust:         inc.Adjust,
		tmp:            inc.tmp,
		sum:            inc.sum,
		EndTime:        inc.EndTime,
	}
	out.SeriesBase.Series = out
	return out
}

func (inc *RMA) Update(x float64) {
	lambda := 1 / float64(inc.Window)
	if inc.counter == 0 {
		inc.SeriesBase.Series = inc
		inc.sum = 1
		inc.tmp = x
	} else {
		if inc.Adjust {
			inc.sum = inc.sum*(1-lambda) + 1
			inc.tmp = inc.tmp + (x-inc.tmp)/inc.sum
		} else {
			inc.tmp = inc.tmp*(1-lambda) + x*lambda
		}
	}
	inc.counter++

	if inc.counter < inc.Window {
		inc.Values.Push(0)
		return
	}

	inc.Values.Push(inc.tmp)
	if len(inc.Values) > MaxNumOfRMA {
		inc.Values = inc.Values[MaxNumOfRMATruncateSize-1:]
	}
}

func (inc *RMA) Last(i int) float64 {
	return inc.Values.Last(i)
}

func (inc *RMA) Index(i int) float64 {
	return inc.Last(i)
}

func (inc *RMA) Length() int {
	return len(inc.Values)
}

var _ types.SeriesExtend = &RMA{}

func (inc *RMA) PushK(k types.KLine) {
	inc.Update(k.Close.Float64())
	inc.EndTime = k.EndTime.Time()
}

func (inc *RMA) CalculateAndUpdate(kLines []types.KLine) {
	last := kLines[len(kLines)-1]

	if len(inc.Values) == 0 {
		for _, k := range kLines {
			if inc.EndTime != zeroTime && !k.EndTime.After(inc.EndTime) {
				continue
			}

			inc.PushK(k)
		}
	} else {
		inc.PushK(last)
	}

	inc.EmitUpdate(inc.Last(0))
}

func (inc *RMA) handleKLineWindowUpdate(interval types.Interval, window types.KLineWindow) {
	if inc.Interval != interval {
		return
	}

	inc.CalculateAndUpdate(window)
}

func (inc *RMA) Bind(updater KLineWindowUpdater) {
	updater.OnKLineWindowUpdate(inc.handleKLineWindowUpdate)
}