# -*- coding: utf-8 -*-
from numpy import isnan
from pandas import DataFrame, Series
from pandas_ta._typing import DictLike, Int
from pandas_ta.volatility import atr
from pandas_ta.utils import (
    v_drift,
    v_mamode,
    v_offset,
    v_pos_default,
    v_series,
    v_talib
)



def rwi(
    high: Series, low: Series, close: Series,
    length: Int = None, mamode: str = None, talib: bool = None,
    drift: Int = None, offset: Int = None, **kwargs: DictLike
) -> DataFrame:
    """Random Walk Index

    This indicator attempts to identify the difference between a trend and
    a random walk.

    Sources:
        * [technicalindicators](https://www.technicalindicators.net/indicators-technical-analysis/168-rwi-random-walk-index)

    Parameters:
        high (Series): ```high``` Series
        low (Series): ```low``` Series
        close (Series): ```close``` Series
        length (int): The period. Default: ```14```
        mamode (str): See ```help(ta.ma)```. Default: ```"rma"```
        talib (bool): If installed, use TA Lib. Default: ```True```
        drift (int): Difference amount. Default: ```1```
        offset (int): Post shift. Default: ```0```

    Other Parameters:
        fillna (value): ```pd.DataFrame.fillna(value)```

    Returns:
        (DataFrame): 2 columns
    """
    # Validate
    length = v_pos_default(length, 14)
    _length = length + 1
    high = v_series(high, _length)
    low = v_series(low, _length)
    close = v_series(close, _length)

    if high is None or low is None or close is None:
        return

    mamode = v_mamode(mamode, "rma")
    mode_tal = v_talib(talib)
    drift = v_drift(drift)
    offset = v_offset(offset)

    # Calculate
    atr_ = atr(
        high=high, low=low, close=close,
        length=length, mamode=mamode, talib=mode_tal
    )
    if all(isnan(atr_)):
        return  # Emergency Break

    denom = atr_ * (length ** 0.5)
    rwi_high = (high - low.shift(length)) / denom
    rwi_low = (high.shift(length) - low) / denom

    # Offset
    if offset != 0:
        rwi_high = rwi_high.shift(offset)
        rwi_low = rwi_low.shift(offset)

    # Fill
    if "fillna" in kwargs:
        rwi_high.fillna(kwargs["fillna"], inplace=True)
        rwi_low.fillna(kwargs["fillna"], inplace=True)

    # Name and Category
    rwi_high.name = f"RWIh_{length}"
    rwi_low.name = f"RWIl_{length}"
    rwi_high.category = rwi_low.category = "trend"

    # Prepare DataFrame to return
    data = {rwi_high.name: rwi_high, rwi_low.name: rwi_low}
    df = DataFrame(data, index=close.index)
    df.name = f"RWI_{length}"
    df.category = "trend"

    return df