#TODO:
# -Implement Clebsch-Gordan symmetries
# -Improve simplification method
# -Implement new simpifications
"""Clebsch-Gordon Coefficients."""

from __future__ import print_function, division

from sympy import (Add, expand, Eq, Expr, Mul, Piecewise, Pow, sqrt, Sum,
                   symbols, sympify, Wild)
from sympy.printing.pretty.stringpict import prettyForm, stringPict

from sympy.functions.special.tensor_functions import KroneckerDelta
from sympy.physics.wigner import clebsch_gordan, wigner_3j, wigner_6j, wigner_9j

__all__ = [
    'CG',
    'Wigner3j',
    'Wigner6j',
    'Wigner9j',
    'cg_simp'
]

#-----------------------------------------------------------------------------
# CG Coefficients
#-----------------------------------------------------------------------------


class Wigner3j(Expr):
    """Class for the Wigner-3j symbols

    Wigner 3j-symbols are coefficients determined by the coupling of
    two angular momenta. When created, they are expressed as symbolic
    quantities that, for numerical parameters, can be evaluated using the
    ``.doit()`` method [1]_.

    Parameters
    ==========

    j1, m1, j2, m2, j3, m3 : Number, Symbol
        Terms determining the angular momentum of coupled angular momentum
        systems.

    Examples
    ========

    Declare a Wigner-3j coefficient and calcualte its value

        >>> from sympy.physics.quantum.cg import Wigner3j
        >>> w3j = Wigner3j(6,0,4,0,2,0)
        >>> w3j
        Wigner3j(6, 0, 4, 0, 2, 0)
        >>> w3j.doit()
        sqrt(715)/143

    See Also
    ========

    CG: Clebsch-Gordan coefficients

    References
    ==========

    .. [1] Varshalovich, D A, Quantum Theory of Angular Momentum. 1988.
    """

    is_commutative = True

    def __new__(cls, j1, m1, j2, m2, j3, m3):
        args = map(sympify, (j1, m1, j2, m2, j3, m3))
        return Expr.__new__(cls, *args)

    @property
    def j1(self):
        return self.args[0]

    @property
    def m1(self):
        return self.args[1]

    @property
    def j2(self):
        return self.args[2]

    @property
    def m2(self):
        return self.args[3]

    @property
    def j3(self):
        return self.args[4]

    @property
    def m3(self):
        return self.args[5]

    @property
    def is_symbolic(self):
        return not all([arg.is_number for arg in self.args])

    # This is modified from the _print_Matrix method
    def _pretty(self, printer, *args):
        m = ((printer._print(self.j1), printer._print(self.m1)),
            (printer._print(self.j2), printer._print(self.m2)),
            (printer._print(self.j3), printer._print(self.m3)))
        hsep = 2
        vsep = 1
        maxw = [-1] * 3
        for j in range(3):
            maxw[j] = max([ m[j][i].width() for i in range(2) ])
        D = None
        for i in range(2):
            D_row = None
            for j in range(3):
                s = m[j][i]
                wdelta = maxw[j] - s.width()
                wleft = wdelta //2
                wright = wdelta - wleft

                s = prettyForm(*s.right(' '*wright))
                s = prettyForm(*s.left(' '*wleft))

                if D_row is None:
                    D_row = s
                    continue
                D_row = prettyForm(*D_row.right(' '*hsep))
                D_row = prettyForm(*D_row.right(s))
            if D is None:
                D = D_row
                continue
            for _ in range(vsep):
                D = prettyForm(*D.below(' '))
            D = prettyForm(*D.below(D_row))
        D = prettyForm(*D.parens())
        return D

    def _latex(self, printer, *args):
        label = map(printer._print, (self.j1, self.j2, self.j3,
                    self.m1, self.m2, self.m3))
        return r'\left(\begin{array}{ccc} %s & %s & %s \\ %s & %s & %s \end{array}\right)' % \
            tuple(label)

    def doit(self, **hints):
        if self.is_symbolic:
            raise ValueError("Coefficients must be numerical")
        return wigner_3j(self.j1, self.j2, self.j3, self.m1, self.m2, self.m3)


class CG(Wigner3j):
    """Class for Clebsch-Gordan coefficient

    Clebsch-Gordan coefficients describe the angular momentum coupling between
    two systems. The coefficients give the expansion of a coupled total angular
    momentum state and an uncoupled tensor product state. The Clebsch-Gordan
    coefficients are defined as [1]_:

    .. math ::
        C^{j_1,m_1}_{j_2,m_2,j_3,m_3} = \langle j_1,m_1;j_2,m_2 | j_3,m_3\\rangle

    Parameters
    ==========

    j1, m1, j2, m2, j3, m3 : Number, Symbol
        Terms determining the angular momentum of coupled angular momentum
        systems.

    Examples
    ========

    Define a Clebsch-Gordan coefficient and evaluate its value

        >>> from sympy.physics.quantum.cg import CG
        >>> from sympy import S
        >>> cg = CG(S(3)/2, S(3)/2, S(1)/2, -S(1)/2, 1, 1)
        >>> cg
        CG(3/2, 3/2, 1/2, -1/2, 1, 1)
        >>> cg.doit()
        sqrt(3)/2

    See Also
    ========

    Wigner3j: Wigner-3j symbols

    References
    ==========

    .. [1] Varshalovich, D A, Quantum Theory of Angular Momentum. 1988.
    """

    def doit(self, **hints):
        if self.is_symbolic:
            raise ValueError("Coefficients must be numerical")
        return clebsch_gordan(self.j1, self.j2, self.j3, self.m1, self.m2, self.m3)

    def _pretty(self, printer, *args):
        bot = printer._print_seq(
            (self.j1, self.m1, self.j2, self.m2), delimiter=',')
        top = printer._print_seq((self.j3, self.m3), delimiter=',')

        pad = max(top.width(), bot.width())
        bot = prettyForm(*bot.left(' '))
        top = prettyForm(*top.left(' '))

        if not pad == bot.width():
            bot = prettyForm(*bot.right(' ' * (pad - bot.width())))
        if not pad == top.width():
            top = prettyForm(*top.right(' ' * (pad - top.width())))
        s = stringPict('C' + ' '*pad)
        s = prettyForm(*s.below(bot))
        s = prettyForm(*s.above(top))
        return s

    def _latex(self, printer, *args):
        label = map(printer._print, (self.j3, self.m3, self.j1,
                    self.m1, self.j2, self.m2))
        return r'C^{%s,%s}_{%s,%s,%s,%s}' % tuple(label)


class Wigner6j(Expr):
    """Class for the Wigner-6j symbols

    See Also
    ========

    Wigner3j: Wigner-3j symbols

    """
    def __new__(cls, j1, j2, j12, j3, j, j23):
        args = map(sympify, (j1, j2, j12, j3, j, j23))
        return Expr.__new__(cls, *args)

    @property
    def j1(self):
        return self.args[0]

    @property
    def j2(self):
        return self.args[1]

    @property
    def j12(self):
        return self.args[2]

    @property
    def j3(self):
        return self.args[3]

    @property
    def j(self):
        return self.args[4]

    @property
    def j23(self):
        return self.args[5]

    @property
    def is_symbolic(self):
        return not all([arg.is_number for arg in self.args])

    # This is modified from the _print_Matrix method
    def _pretty(self, printer, *args):
        m = ((printer._print(self.j1), printer._print(self.j3)),
            (printer._print(self.j2), printer._print(self.j)),
            (printer._print(self.j12), printer._print(self.j23)))
        hsep = 2
        vsep = 1
        maxw = [-1] * 3
        for j in range(3):
            maxw[j] = max([ m[j][i].width() for i in range(2) ])
        D = None
        for i in range(2):
            D_row = None
            for j in range(3):
                s = m[j][i]
                wdelta = maxw[j] - s.width()
                wleft = wdelta //2
                wright = wdelta - wleft

                s = prettyForm(*s.right(' '*wright))
                s = prettyForm(*s.left(' '*wleft))

                if D_row is None:
                    D_row = s
                    continue
                D_row = prettyForm(*D_row.right(' '*hsep))
                D_row = prettyForm(*D_row.right(s))
            if D is None:
                D = D_row
                continue
            for _ in range(vsep):
                D = prettyForm(*D.below(' '))
            D = prettyForm(*D.below(D_row))
        D = prettyForm(*D.parens(left='{', right='}'))
        return D

    def _latex(self, printer, *args):
        label = map(printer._print, (self.j1, self.j2, self.j12,
                    self.j3, self.j, self.j23))
        return r'\left\{\begin{array}{ccc} %s & %s & %s \\ %s & %s & %s \end{array}\right\}' % \
            tuple(label)

    def doit(self, **hints):
        if self.is_symbolic:
            raise ValueError("Coefficients must be numerical")
        return wigner_6j(self.j1, self.j2, self.j12, self.j3, self.j, self.j3)


class Wigner9j(Expr):
    """Class for the Wigner-9j symbols

    See Also
    ========

    Wigner3j: Wigner-3j symbols

    """
    def __new__(cls, j1, j2, j12, j3, j4, j34, j13, j24, j):
        args = map(sympify, (j1, j2, j12, j3, j4, j34, j13, j24, j))
        return Expr.__new__(cls, *args)

    @property
    def j1(self):
        return self.args[0]

    @property
    def j2(self):
        return self.args[1]

    @property
    def j12(self):
        return self.args[2]

    @property
    def j3(self):
        return self.args[3]

    @property
    def j4(self):
        return self.args[4]

    @property
    def j34(self):
        return self.args[5]

    @property
    def j13(self):
        return self.args[6]

    @property
    def j24(self):
        return self.args[7]

    @property
    def j(self):
        return self.args[8]

    @property
    def is_symbolic(self):
        return not all([arg.is_number for arg in self.args])

    # This is modified from the _print_Matrix method
    def _pretty(self, printer, *args):
        m = (
            (printer._print(
                self.j1), printer._print(self.j3), printer._print(self.j13)),
            (printer._print(
                self.j2), printer._print(self.j4), printer._print(self.j24)),
            (printer._print(self.j12), printer._print(self.j34), printer._print(self.j)))
        hsep = 2
        vsep = 1
        maxw = [-1] * 3
        for j in range(3):
            maxw[j] = max([ m[j][i].width() for i in range(3) ])
        D = None
        for i in range(3):
            D_row = None
            for j in range(3):
                s = m[j][i]
                wdelta = maxw[j] - s.width()
                wleft = wdelta //2
                wright = wdelta - wleft

                s = prettyForm(*s.right(' '*wright))
                s = prettyForm(*s.left(' '*wleft))

                if D_row is None:
                    D_row = s
                    continue
                D_row = prettyForm(*D_row.right(' '*hsep))
                D_row = prettyForm(*D_row.right(s))
            if D is None:
                D = D_row
                continue
            for _ in range(vsep):
                D = prettyForm(*D.below(' '))
            D = prettyForm(*D.below(D_row))
        D = prettyForm(*D.parens(left='{', right='}'))
        return D

    def _latex(self, printer, *args):
        label = map(printer._print, (self.j1, self.j2, self.j12, self.j3,
                self.j4, self.j34, self.j13, self.j24, self.j))
        return r'\left\{\begin{array}{ccc} %s & %s & %s \\ %s & %s & %s \\ %s & %s & %s \end{array}\right\}' % \
            tuple(label)

    def doit(self, **hints):
        if self.is_symbolic:
            raise ValueError("Coefficients must be numerical")
        return wigner_9j(self.j1, self.j2, self.j12, self.j3, self.j4, self.j34, self.j13, self.j24, self.j)


def cg_simp(e):
    """Simplify and combine CG coefficients

    This function uses various symmetry and properties of sums and
    products of Clebsch-Gordan coefficients to simplify statements
    involving these terms [1]_.

    Examples
    ========

    Simplify the sum over CG(a,alpha,0,0,a,alpha) for all alpha to
    2*a+1

        >>> from sympy.physics.quantum.cg import CG, cg_simp
        >>> a = CG(1,1,0,0,1,1)
        >>> b = CG(1,0,0,0,1,0)
        >>> c = CG(1,-1,0,0,1,-1)
        >>> cg_simp(a+b+c)
        3

    See Also
    ========

    CG: Clebsh-Gordan coefficients

    References
    ==========

    .. [1] Varshalovich, D A, Quantum Theory of Angular Momentum. 1988.
    """
    if isinstance(e, Add):
        return _cg_simp_add(e)
    elif isinstance(e, Sum):
        return _cg_simp_sum(e)
    elif isinstance(e, Mul):
        return Mul(*[cg_simp(arg) for arg in e.args])
    elif isinstance(e, Pow):
        return Pow(cg_simp(e.base), e.exp)
    else:
        return e


def _cg_simp_add(e):
    #TODO: Improve simplification method
    """Takes a sum of terms involving Clebsch-Gordan coefficients and
    simplifies the terms.

    First, we create two lists, cg_part, which is all the terms involving CG
    coefficients, and other_part, which is all other terms. The cg_part list
    is then passed to the simplification methods, which return the new cg_part
    and any additional terms that are added to other_part
    """
    cg_part = []
    other_part = []

    e = expand(e)
    for arg in e.args:
        if arg.has(CG):
            if isinstance(arg, Sum):
                other_part.append(_cg_simp_sum(arg))
            elif isinstance(arg, Mul):
                terms = 1
                for term in arg.args:
                    if isinstance(term, Sum):
                        terms *= _cg_simp_sum(term)
                    else:
                        terms *= term
                if terms.has(CG):
                    cg_part.append(terms)
                else:
                    other_part.append(terms)
            else:
                cg_part.append(arg)
        else:
            other_part.append(arg)

    cg_part, other = _check_varsh_871_1(cg_part)
    other_part.append(other)
    cg_part, other = _check_varsh_871_2(cg_part)
    other_part.append(other)
    cg_part, other = _check_varsh_872_9(cg_part)
    other_part.append(other)
    return Add(*cg_part) + Add(*other_part)


def _check_varsh_871_1(term_list):
    # Sum( CG(a,alpha,b,0,a,alpha), (alpha, -a, a)) == KroneckerDelta(b,0)
    a, alpha, b, lt = map(Wild, ('a', 'alpha', 'b', 'lt'))
    expr = lt*CG(a, alpha, b, 0, a, alpha)
    simp = (2*a + 1)*KroneckerDelta(b, 0)
    sign = lt/abs(lt)
    build_expr = 2*a + 1
    index_expr = a + alpha
    return _check_cg_simp(expr, simp, sign, lt, term_list, (a, alpha, b, lt), (a, b), build_expr, index_expr)


def _check_varsh_871_2(term_list):
    # Sum((-1)**(a-alpha)*CG(a,alpha,a,-alpha,c,0),(alpha,-a,a))
    a, alpha, c, lt = map(Wild, ('a', 'alpha', 'c', 'lt'))
    expr = lt*CG(a, alpha, a, -alpha, c, 0)
    simp = sqrt(2*a + 1)*KroneckerDelta(c, 0)
    sign = (-1)**(a - alpha)*lt/abs(lt)
    build_expr = 2*a + 1
    index_expr = a + alpha
    return _check_cg_simp(expr, simp, sign, lt, term_list, (a, alpha, c, lt), (a, c), build_expr, index_expr)


def _check_varsh_872_9(term_list):
    # Sum( CG(a,alpha,b,beta,c,gamma)*CG(a,alpha',b,beta',c,gamma), (gamma, -c, c), (c, abs(a-b), a+b))
    a, alpha, alphap, b, beta, betap, c, gamma, lt = map(Wild, (
        'a', 'alpha', 'alphap', 'b', 'beta', 'betap', 'c', 'gamma', 'lt'))
    # Case alpha==alphap, beta==betap

    # For numerical alpha,beta
    expr = lt*CG(a, alpha, b, beta, c, gamma)**2
    simp = 1
    sign = lt/abs(lt)
    x = abs(a - b)
    y = abs(alpha + beta)
    build_expr = a + b + 1 - Piecewise((x, x > y), (0, Eq(x, y)), (y, y > x))
    index_expr = a + b - c
    term_list, other1 = _check_cg_simp(expr, simp, sign, lt, term_list, (a, alpha, b, beta, c, gamma, lt), (a, alpha, b, beta), build_expr, index_expr)

    # For symbolic alpha,beta
    x = abs(a - b)
    y = a + b
    build_expr = (y + 1 - x)*(x + y + 1)
    index_expr = (c - x)*(x + c) + c + gamma
    term_list, other2 = _check_cg_simp(expr, simp, sign, lt, term_list, (a, alpha, b, beta, c, gamma, lt), (a, alpha, b, beta), build_expr, index_expr)

    # Case alpha!=alphap or beta!=betap
    # Note: this only works with leading term of 1, pattern matching is unable to match when there is a Wild leading term
    # For numerical alpha,alphap,beta,betap
    expr = CG(a, alpha, b, beta, c, gamma)*CG(a, alphap, b, betap, c, gamma)
    simp = KroneckerDelta(alpha, alphap)*KroneckerDelta(beta, betap)
    sign = sympify(1)
    x = abs(a - b)
    y = abs(alpha + beta)
    build_expr = a + b + 1 - Piecewise((x, x > y), (0, Eq(x, y)), (y, y > x))
    index_expr = a + b - c
    term_list, other3 = _check_cg_simp(expr, simp, sign, sympify(1), term_list, (a, alpha, alphap, b, beta, betap, c, gamma), (a, alpha, alphap, b, beta, betap), build_expr, index_expr)

    # For symbolic alpha,alphap,beta,betap
    x = abs(a - b)
    y = a + b
    build_expr = (y + 1 - x)*(x + y + 1)
    index_expr = (c - x)*(x + c) + c + gamma
    term_list, other4 = _check_cg_simp(expr, simp, sign, sympify(1), term_list, (a, alpha, alphap, b, beta, betap, c, gamma), (a, alpha, alphap, b, beta, betap), build_expr, index_expr)

    return term_list, other1 + other2 + other4


def _check_cg_simp(expr, simp, sign, lt, term_list, variables, dep_variables, build_index_expr, index_expr):
    """ Checks for simplifications that can be made, returning a tuple of the
    simplified list of terms and any terms generated by simplification.

    Parameters
    ==========

    expr: expression
        The expression with Wild terms that will be matched to the terms in
        the sum

    simp: expression
        The expression with Wild terms that is substituted in place of the CG
        terms in the case of simplification

    sign: expression
        The expression with Wild terms denoting the sign that is on expr that
        must match

    lt: expression
        The expression with Wild terms that gives the leading term of the
        matched expr

    term_list: list
        A list of all of the terms is the sum to be simplified

    variables: list
        A list of all the variables that appears in expr

    dep_variables: list
        A list of the variables that must match for all the terms in the sum,
        i.e. the dependant variables

    build_index_expr: expression
        Expression with Wild terms giving the number of elements in cg_index

    index_expr: expression
        Expression with Wild terms giving the index terms have when storing
        them to cg_index

    """
    other_part = 0
    i = 0
    while i < len(term_list):
        sub_1 = _check_cg(term_list[i], expr, len(variables))
        if sub_1 is None:
            i += 1
            continue
        if not sympify(build_index_expr.subs(sub_1)).is_number:
            i += 1
            continue
        sub_dep = [(x, sub_1[x]) for x in dep_variables]
        cg_index = [None] * build_index_expr.subs(sub_1)
        for j in range(i, len(term_list)):
            sub_2 = _check_cg(term_list[j], expr.subs(sub_dep), len(variables) - len(dep_variables), sign=(sign.subs(sub_1), sign.subs(sub_dep)))
            if sub_2 is None:
                continue
            if not sympify(index_expr.subs(sub_dep).subs(sub_2)).is_number:
                continue
            cg_index[index_expr.subs(sub_dep).subs(sub_2)] = j, expr.subs(lt, 1).subs(sub_dep).subs(sub_2), lt.subs(sub_2), sign.subs(sub_dep).subs(sub_2)
        if all(i is not None for i in cg_index):
            min_lt = min(*[ abs(term[2]) for term in cg_index ])
            indicies = [ term[0] for term in cg_index]
            indicies.sort()
            indicies.reverse()
            [ term_list.pop(i) for i in indicies ]
            for term in cg_index:
                if abs(term[2]) > min_lt:
                    term_list.append( (term[2] - min_lt*term[3]) * term[1] )
            other_part += min_lt * (sign*simp).subs(sub_1)
        else:
            i += 1
    return term_list, other_part


def _check_cg(cg_term, expr, length, sign=None):
    """Checks whether a term matches the given expression"""
    # TODO: Check for symmetries
    matches = cg_term.match(expr)
    if matches is None:
        return
    if sign is not None:
        if not isinstance(sign, tuple):
            raise TypeError('sign must be a tuple')
        if not sign[0] == (sign[1]).subs(matches):
            return
    if len(matches) == length:
        return matches


def _cg_simp_sum(e):
    e = _check_varsh_sum_871_1(e)
    e = _check_varsh_sum_871_2(e)
    e = _check_varsh_sum_872_4(e)
    return e


def _check_varsh_sum_871_1(e):
    a = Wild('a')
    alpha = symbols('alpha')
    b = Wild('b')
    match = e.match(Sum(CG(a, alpha, b, 0, a, alpha), (alpha, -a, a)))
    if match is not None and len(match) == 2:
        return ((2*a + 1)*KroneckerDelta(b, 0)).subs(match)
    return e


def _check_varsh_sum_871_2(e):
    a = Wild('a')
    alpha = symbols('alpha')
    c = Wild('c')
    match = e.match(
        Sum((-1)**(a - alpha)*CG(a, alpha, a, -alpha, c, 0), (alpha, -a, a)))
    if match is not None and len(match) == 2:
        return (sqrt(2*a + 1)*KroneckerDelta(c, 0)).subs(match)
    return e


def _check_varsh_sum_872_4(e):
    a = Wild('a')
    alpha = Wild('alpha')
    b = Wild('b')
    beta = Wild('beta')
    c = Wild('c')
    cp = Wild('cp')
    gamma = Wild('gamma')
    gammap = Wild('gammap')
    match1 = e.match(Sum(CG(a, alpha, b, beta, c, gamma)*CG(
        a, alpha, b, beta, cp, gammap), (alpha, -a, a), (beta, -b, b)))
    if match1 is not None and len(match1) == 8:
        return (KroneckerDelta(c, cp)*KroneckerDelta(gamma, gammap)).subs(match1)
    match2 = e.match(Sum(
        CG(a, alpha, b, beta, c, gamma)**2, (alpha, -a, a), (beta, -b, b)))
    if match2 is not None and len(match2) == 6:
        return 1
    return e


def _cg_list(term):
    if isinstance(term, CG):
        return (term,), 1, 1
    cg = []
    coeff = 1
    if not (isinstance(term, Mul) or isinstance(term, Pow)):
        raise NotImplementedError('term must be CG, Add, Mul or Pow')
    if isinstance(term, Pow) and sympify(term.exp).is_number:
        if sympify(term.exp).is_number:
            [ cg.append(term.base) for _ in range(term.exp) ]
        else:
            return (term,), 1, 1
    if isinstance(term, Mul):
        for arg in term.args:
            if isinstance(arg, CG):
                cg.append(arg)
            else:
                coeff *= arg
        return cg, coeff, coeff/abs(coeff)
