#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)


import backtrader as bt
from backtrader.utils.py3 import MAXINT


from . import MovingAverageBase, MovAv


class ZeroLagIndicator(MovingAverageBase):
    '''By John Ehlers and Ric Way

    The zero-lag indicator (ZLIndicator) is a variation of the EMA
    which modifies the EMA by trying to minimize the error (distance price -
    error correction) and thus reduce the lag

    Formula:
      - EMA(data, period)

      - For each iteration calculate a best-error-correction of the ema (see
        the paper and/or the code) iterating over ``-bestgain`` ->
        ``+bestgain`` for the error correction factor (both incl.)

      - The default moving average is EMA, but can be changed with the
        parameter ``_movav``

        .. note:: the passed moving average must calculate alpha (and 1 -
                  alpha) and make them available as attributes ``alpha`` and
                  ``alpha1`` in the instance

    See also:
      - http://www.mesasoftware.com/papers/ZeroLag.pdf

    '''
    alias = ('ZLIndicator', 'ZLInd', 'EC', 'ErrorCorrecting',)
    lines = ('ec',)
    params = (
        ('gainlimit', 50),
        ('_movav', MovAv.EMA),
    )

    def _plotlabel(self):
        plabels = [self.p.period, self.p.gainlimit]
        plabels += [self.p._movav] * self.p.notdefault('_movav')
        return plabels

    def __init__(self):
        self.ema = MovAv.EMA(period=self.p.period)
        self.limits = [-self.p.gainlimit, self.p.gainlimit + 1]

        # To make mixins work - super at the end for cooperative inheritance
        super(ZeroLagIndicator, self).__init__()

    def next(self):
        leasterror = MAXINT  # 1000000 in original code
        bestec = ema = self.ema[0]  # seed value 1st time for ec
        price = self.data[0]
        ec1 = self.lines.ec[-1]
        alpha, alpha1 = self.ema.alpha, self.ema.alpha1

        for value1 in range(*self.limits):
            gain = value1 / 10
            ec = alpha * (ema + gain * (price - ec1)) + alpha1 * ec1
            error = abs(price - ec)
            if error < leasterror:
                leasterror = error
                bestec = ec

        self.lines.ec[0] = bestec