# -*- coding: utf-8 -*-
from .sma import sma
from ..utils import get_offset, verify_series

def vwma(close, volume, length=None, offset=None, **kwargs):
    """Indicator: Volume Weighted Moving Average (VWMA)"""
    # Validate Arguments
    close = verify_series(close)
    volume = verify_series(volume)
    length = int(length) if length and length > 0 else 10
    offset = get_offset(offset)

    # Calculate Result
    pv = close * volume
    vwma = sma(close=pv, length=length) / sma(close=volume, length=length)

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

    # Name & Category
    vwma.name = f"VWMA_{length}"
    vwma.category = 'overlap'

    return vwma



vwma.__doc__ = \
"""Volume Weighted Moving Average (VWMA)

Volume Weighted Moving Average.

Sources:
    https://www.motivewave.com/studies/volume_weighted_moving_average.htm

Calculation:
    Default Inputs:
        length=10
    SMA = Simple Moving Average
    pv = close * volume
    VWMA = SMA(pv, length) / SMA(volume, length)

Args:
    close (pd.Series): Series of 'close's
    volume (pd.Series): Series of 'volume's
    length (int): It's period.  Default: 10
    offset (int): How many periods to offset the result.  Default: 0

Kwargs:
    fillna (value, optional): pd.DataFrame.fillna(value)
    fill_method (value, optional): Type of fill method

Returns:
    pd.Series: New feature generated.
"""