"""
Implements rainflow cycle counting algorythm for fatigue analysis
according to section 5.4.4 in ASTM E1049-85 (2011).
"""
from __future__ import division
from collections import deque, defaultdict
import math

try:
    from importlib import metadata as _importlib_metadata
except ImportError:
    import importlib_metadata as _importlib_metadata

# __version__ = _importlib_metadata.version("rainflow")


def _get_round_function(ndigits=None):
    if ndigits is None:
        def func(x):
            return x
    else:
        def func(x):
            return round(x, ndigits)
    return func


def reversals(series):
    """Iterate reversal points in the series.
    A reversal point is a point in the series at which the first derivative
    changes sign. Reversal is undefined at the first (last) point because the
    derivative before (after) this point is undefined. The first and the last
    points are treated as reversals.
    Parameters
    ----------
    series : iterable sequence of numbers
    Yields
    ------
    Reversal points as tuples (index, value).
    """
    series = iter(series)

    x_last, x = next(series, None), next(series, None)
    if x_last is None or x is None:
        return

    d_last = (x - x_last)

    yield 0, x_last
    index = None
    for index, x_next in enumerate(series, start=1):
        if x_next == x:
            continue
        d_next = x_next - x
        if d_last * d_next < 0:
            yield index, x
        x_last, x = x, x_next
        d_last = d_next

    if index is not None:
        yield index + 1, x_next


def extract_cycles(series):
    """Iterate cycles in the series.
    Parameters
    ----------
    series : iterable sequence of numbers
    Yields
    ------
    cycle : tuple
        Each tuple contains (range, mean, count, start index, end index).
        Count equals to 1.0 for full cycles and 0.5 for half cycles.
    """
    points = deque()

    def format_output(point1, point2, count):
        i1, x1 = point1
        i2, x2 = point2
        rng = abs(x1 - x2)
        mean = 0.5 * (x1 + x2)
        return rng, mean, count, i1, i2

    for point in reversals(series):
        points.append(point)

        while len(points) >= 3:
            # Form ranges X and Y from the three most recent points
            x1, x2, x3 = points[-3][1], points[-2][1], points[-1][1]
            X = abs(x3 - x2)
            Y = abs(x2 - x1)

            if X < Y:
                # Read the next point
                break
            elif len(points) == 3:
                # Y contains the starting point
                # Count Y as one-half cycle and discard the first point
                yield format_output(points[0], points[1], 0.5)
                points.popleft()
            else:
                # Count Y as one cycle and discard the peak and the valley of Y
                yield format_output(points[-3], points[-2], 1.0)
                last = points.pop()
                points.pop()
                points.pop()
                points.append(last)
    else:
        # Count the remaining ranges as one-half cycles
        while len(points) > 1:
            yield format_output(points[0], points[1], 0.5)
            points.popleft()


def count_cycles(series, ndigits=None, nbins=None, binsize=None):
    """Count cycles in the series.
    Parameters
    ----------
    series : iterable sequence of numbers
    ndigits : int, optional
        Round cycle magnitudes to the given number of digits before counting.
        Use a negative value to round to tens, hundreds, etc.
    nbins : int, optional
        Specifies the number of cycle-counting bins.
    binsize : int, optional
        Specifies the width of each cycle-counting bin
    Arguments ndigits, nbins and binsize are mutually exclusive.
    Returns
    -------
    A sorted list containing pairs of range and cycle count.
    The counts may not be whole numbers because the rainflow counting
    algorithm may produce half-cycles. If binning is used then ranges
    correspond to the right (high) edge of a bin.
    """
    if sum(value is not None for value in (ndigits, nbins, binsize)) > 1:
        raise ValueError(
            "Arguments ndigits, nbins and binsize are mutually exclusive"
        )

    counts = defaultdict(float)
    cycles = (
        (rng, count)
        for rng, mean, count, i_start, i_end in extract_cycles(series)
    )

    if nbins is not None:
        binsize = (max(series) - min(series)) / nbins

    if binsize is not None:
        nmax = 0
        for rng, count in cycles:
            quotient = rng / binsize
            n = int(math.ceil(quotient))  # using int for Python 2 compatibility

            if nbins and n > nbins:
                # Due to floating point accuracy we may get n > nbins,
                # in which case we move rng to the preceeding bin.
                if (quotient % 1) > 1e-6:
                    raise Exception("Unexpected error")
                n = n - 1

            counts[n * binsize] += count
            nmax = max(n, nmax)

        for i in range(1, nmax):
            counts.setdefault(i * binsize, 0.0)

    elif ndigits is not None:
        round_ = _get_round_function(ndigits)
        for rng, count in cycles:
            counts[round_(rng)] += count

    else:
        for rng, count in cycles:
            counts[rng] += count

    return sorted(counts.items())