# coding: utf-8
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"""Miscellaneous utility functions for the Plot"""

__authors__ = ["T. Vincent"]
__license__ = "MIT"
__date__ = "21/03/2017"


import numpy

from .panzoom import FLOAT32_SAFE_MIN, FLOAT32_MINPOS, FLOAT32_SAFE_MAX
from .panzoom import applyZoomToPlot, applyPan


def clipColormapLogRange(colormap):
    """Clip colormap vmin and vmax to 1, 10 if normalization is 'log' and vmin
    or vmax <1

    :param dict colormap: the colormap for which we want to clip vmin and vmax
    """
    if colormap['normalization'] is 'log':
        if colormap['vmin'] < 1. or colormap['vmax'] < 1.:
            colormap['vmin'], colormap['vmax'] = 1., 10.


def addMarginsToLimits(margins, isXLog, isYLog,
                       xMin, xMax, yMin, yMax, y2Min=None, y2Max=None):
    """Returns updated limits by extending them with margins.

    :param margins: The ratio of the margins to add or None for no margins.
    :type margins: A 4-tuple of floats as
                   (xMinMargin, xMaxMargin, yMinMargin, yMaxMargin)

    :return: The updated limits
    :rtype: tuple of 4 or 6 floats: Either (xMin, xMax, yMin, yMax) or
            (xMin, xMax, yMin, yMax, y2Min, y2Max) if y2Min and y2Max
            are provided.
    """
    if margins is not None:
        xMinMargin, xMaxMargin, yMinMargin, yMaxMargin = margins

        if not isXLog:
            xRange = xMax - xMin
            xMin -= xMinMargin * xRange
            xMax += xMaxMargin * xRange

        elif xMin > 0. and xMax > 0.:  # Log scale
            # Do not apply margins if limits < 0
            xMinLog, xMaxLog = numpy.log10(xMin), numpy.log10(xMax)
            xRangeLog = xMaxLog - xMinLog
            xMin = pow(10., xMinLog - xMinMargin * xRangeLog)
            xMax = pow(10., xMaxLog + xMaxMargin * xRangeLog)

        if not isYLog:
            yRange = yMax - yMin
            yMin -= yMinMargin * yRange
            yMax += yMaxMargin * yRange
        elif yMin > 0. and yMax > 0.:  # Log scale
            # Do not apply margins if limits < 0
            yMinLog, yMaxLog = numpy.log10(yMin), numpy.log10(yMax)
            yRangeLog = yMaxLog - yMinLog
            yMin = pow(10., yMinLog - yMinMargin * yRangeLog)
            yMax = pow(10., yMaxLog + yMaxMargin * yRangeLog)

        if y2Min is not None and y2Max is not None:
            if not isYLog:
                yRange = y2Max - y2Min
                y2Min -= yMinMargin * yRange
                y2Max += yMaxMargin * yRange
            elif y2Min > 0. and y2Max > 0.:  # Log scale
                # Do not apply margins if limits < 0
                yMinLog, yMaxLog = numpy.log10(y2Min), numpy.log10(y2Max)
                yRangeLog = yMaxLog - yMinLog
                y2Min = pow(10., yMinLog - yMinMargin * yRangeLog)
                y2Max = pow(10., yMaxLog + yMaxMargin * yRangeLog)

    if y2Min is None or y2Max is None:
        return xMin, xMax, yMin, yMax
    else:
        return xMin, xMax, yMin, yMax, y2Min, y2Max