# -*- coding: utf-8 -*-

# Copyright 1996-2015 PSERC. All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.

# Copyright (c) 2016-2019 by University of Kassel and Fraunhofer Institute for Energy Economics
# and Energy System Technology (IEE), Kassel. All rights reserved.


import numpy as np
from numba import jit
from scipy.sparse import csr_matrix, coo_matrix

from pandapower.pypower.idx_brch import F_BUS, T_BUS
from pandapower.pypower.idx_bus import GS, BS
from pandapower.pypower.makeYbus import branch_vectors


@jit(nopython=True, cache=True)
def gen_Ybus(Yf_x, Yt_x, Ysh, col_Y, f, t, f_sort, t_sort, nb, nl, r_nl):  # pragma: no cover
    """
    Fast calculation of Ybus
    """

    r_nb = range(nb)

    # allocate data of Ybus in CSR format
    # Note: More space is allocated than needed with empty.
    #       The matrix size will be reduced afterwards
    alloc_size = nl * 2 + nb
    Yx = np.empty(alloc_size, dtype=np.complex128)  # data
    Yp = np.zeros(nb + 1, dtype=np.int64)  # row pointer
    Yj = np.empty(alloc_size, dtype=np.int64)  # colum indices

    # index iterators
    # a = iterator of f, b = iterator of t, curRow = current Row
    a, b, curRow = 0, 0, 0
    # number of nonzeros (total), number of nonzeros per row
    nnz, nnz_row = 0, 0
    # flag checks if diagonal entry was added
    YshAdded = False

    for curRow in r_nb:
        nnz_row = 0
        # iterate rows of Ybus

        # add entries from Yf
        while a < nl and f[f_sort[a]] == curRow:
            # Entries from f_sort[a] in current row of Ybus
            for col in (r_nl[f_sort[a]], r_nl[f_sort[a]] + nl):
                # 'Has entry at column in Yf: %i ' % col
                if col_Y[col] == curRow and not YshAdded:
                    # add Ysh and Yf_x (diagonal element). If not already added
                    curVal = Yf_x[col] + Ysh[curRow]
                    YshAdded = True
                else:
                    # add only Yf_x
                    curVal = Yf_x[col]

                for k in range(Yp[curRow], Yp[curRow] + nnz_row):
                    if col_Y[col] == Yj[k]:
                        # if entry at column already exists add value
                        Yx[k] += curVal
                        break
                else:
                    # new entry in Ybus
                    Yx[nnz] = curVal
                    Yj[nnz] = col_Y[col]
                    nnz += 1
                    nnz_row += 1
            a += 1

        # add entries from Yt
        while b < nl and t[t_sort[b]] == curRow:
            # Entries from t_sort[b] in current row of Ybus
            for col in (r_nl[t_sort[b]], r_nl[t_sort[b]] + nl):
                # 'Has entry at column in Yt: %i ' % col
                if col_Y[col] == curRow and not YshAdded:
                    # add Ysh and Yf_x (diagonal element). If not already added
                    curVal = Yt_x[col] + Ysh[curRow]
                    YshAdded = True
                else:
                    # add only Yt_x
                    curVal = Yt_x[col]

                for k in range(Yp[curRow], Yp[curRow] + nnz_row):
                    if col_Y[col] == Yj[k]:
                        # if entry at column already exists add value
                        Yx[k] += curVal
                        break
                else:
                    # new entry in Ybus
                    Yx[nnz] = curVal
                    Yj[nnz] = col_Y[col]
                    nnz += 1
                    nnz_row += 1
            b += 1

        if not YshAdded:
            # check if diagonal entry was added. If not -> add if not zero
            if Ysh[curRow]:
                Yx[nnz] = Ysh[curRow]
                Yj[nnz] = curRow
                nnz += 1
                nnz_row += 1

        YshAdded = False
        # add number of nonzeros in row to row pointer
        Yp[curRow + 1] = nnz_row + Yp[curRow]
        curRow += 1

    return Yx, Yj, Yp, nnz


def makeYbus(baseMVA, bus, branch):
    """Builds the bus admittance matrix and branch admittance matrices.

    Returns the full bus admittance matrix (i.e. for all buses) and the
    matrices C{Yf} and C{Yt} which, when multiplied by a complex voltage
    vector, yield the vector currents injected into each line from the
    "from" and "to" buses respectively of each line. Does appropriate
    conversions to p.u.

    @see: L{makeSbus}

    @author: Ray Zimmerman (PSERC Cornell)
    @author: Richard Lincoln

    modified by Florian Schaefer (to use numba) (florian.schaefer@uni-kassel.de)
    """
    ## constants
    nb = bus.shape[0]  ## number of buses
    nl = branch.shape[0]  ## number of lines

    ## for each branch, compute the elements of the branch admittance matrix where
    ##
    ##      | If |   | Yff  Yft |   | Vf |
    ##      |    | = |          | * |    |
    ##      | It |   | Ytf  Ytt |   | Vt |
    ##
    Ytt, Yff, Yft, Ytf = branch_vectors(branch, nl)

    ## compute shunt admittance
    ## if Psh is the real power consumed by the shunt at V = 1.0 p.u.
    ## and Qsh is the reactive power injected by the shunt at V = 1.0 p.u.
    ## then Psh - j Qsh = V * conj(Ysh * V) = conj(Ysh) = Gs - j Bs,
    ## i.e. Ysh = Psh + j Qsh, so ...
    ## vector of shunt admittances
    Ysh = (bus[:, GS] + 1j * bus[:, BS]) / baseMVA

    ## build connection matrices
    f = np.real(branch[:, F_BUS]).astype(int)  ## list of "from" buses
    t = np.real(branch[:, T_BUS]).astype(int)  ## list of "to" buses

    ## build Yf and Yt such that Yf * V is the vector of complex branch currents injected
    ## at each branch's "from" bus, and Yt is the same for the "to" bus end
    i = np.hstack([np.arange(nl), np.arange(nl)])  ## double set of row indices

    Yf_x = np.hstack([Yff, Yft])
    Yt_x = np.hstack([Ytf, Ytt])
    col_Y = np.hstack([f, t])

    Yf = coo_matrix((Yf_x, (i, col_Y)), (nl, nb)).tocsr()
    Yt = coo_matrix((Yt_x, (i, col_Y)), (nl, nb)).tocsr()
    Yx, Yj, Yp, nnz = gen_Ybus(Yf_x, Yt_x, Ysh, col_Y, f, t, np.argsort(f), np.argsort(t), nb, nl,
                               np.arange(nl, dtype=np.int64))
    Ybus = csr_matrix((np.resize(Yx, nnz), np.resize(Yj, nnz), Yp))
    return Ybus, Yf, Yt
