"""

@author: Franco Peschiera

"""

import re
from . import constants as const

CORE_FILE_ROW_MODE = "ROWS"
CORE_FILE_COL_MODE = "COLUMNS"
CORE_FILE_RHS_MODE = "RHS"
CORE_FILE_BOUNDS_MODE = "BOUNDS"

CORE_FILE_BOUNDS_MODE_NAME_GIVEN = "BOUNDS_NAME"
CORE_FILE_BOUNDS_MODE_NO_NAME = "BOUNDS_NO_NAME"
CORE_FILE_RHS_MODE_NAME_GIVEN = "RHS_NAME"
CORE_FILE_RHS_MODE_NO_NAME = "RHS_NO_NAME"

ROW_MODE_OBJ = "N"

BOUNDS_EQUIV = dict(LO="lowBound", UP="upBound")

ROW_EQUIV = {v: k for k, v in const.LpConstraintTypeToMps.items()}
COL_EQUIV = {1: "Integer", 0: "Continuous"}
ROW_DEFAULT = dict(pi=None, constant=0)
COL_DEFAULT = dict(lowBound=0, upBound=None, varValue=None, dj=None)


def readMPS(path, sense, dropConsNames=False):
    """
    adapted from Julian Märte (https://github.com/pchtsp/pysmps)
    returns a dictionary with the contents of the model.
    This dictionary can be used to generate an LpProblem

    :param path: path of mps file
    :param sense: 1 for minimize, -1 for maximize
    :param dropConsNames: if True, do not store the names of constraints
    :return: a dictionary with all the problem data
    """

    mode = ""
    parameters = dict(name="", sense=sense, status=0, sol_status=0)
    variable_info = {}
    constraints = {}
    objective = dict(name="", coefficients=[])
    sos1 = []
    sos2 = []
    # TODO: maybe take out rhs_names and bnd_names? not sure if they're useful
    rhs_names = []
    bnd_names = []
    integral_marker = False

    with open(path) as reader:
        for line in reader:
            line = re.split(" |\t", line)
            line = [x.strip() for x in line]
            line = list(filter(None, line))

            if line[0] == "ENDATA":
                break
            if line[0] == "*":
                continue
            if line[0] == "NAME":
                if len(line) > 1:
                    parameters["name"] = line[1]
                else:
                    parameters["name"] = ""
                continue

            # here we get the mode
            if line[0] in [CORE_FILE_ROW_MODE, CORE_FILE_COL_MODE]:
                mode = line[0]
            elif line[0] == CORE_FILE_RHS_MODE and len(line) <= 2:
                if len(line) > 1:
                    rhs_names.append(line[1])
                    mode = CORE_FILE_RHS_MODE_NAME_GIVEN
                else:
                    mode = CORE_FILE_RHS_MODE_NO_NAME
            elif line[0] == CORE_FILE_BOUNDS_MODE and len(line) <= 2:
                if len(line) > 1:
                    bnd_names.append(line[1])
                    mode = CORE_FILE_BOUNDS_MODE_NAME_GIVEN
                else:
                    mode = CORE_FILE_BOUNDS_MODE_NO_NAME

            # here we query the mode variable
            elif mode == CORE_FILE_ROW_MODE:
                row_type = line[0]
                row_name = line[1]
                if row_type == ROW_MODE_OBJ:
                    objective["name"] = row_name
                else:
                    constraints[row_name] = dict(
                        sense=ROW_EQUIV[row_type],
                        name=row_name,
                        coefficients=[],
                        **ROW_DEFAULT,
                    )
            elif mode == CORE_FILE_COL_MODE:
                var_name = line[0]
                if len(line) > 1 and line[1] == "'MARKER'":
                    if line[2] == "'INTORG'":
                        integral_marker = True
                    elif line[2] == "'INTEND'":
                        integral_marker = False
                    continue
                if var_name not in variable_info:
                    variable_info[var_name] = dict(
                        cat=COL_EQUIV[integral_marker], name=var_name, **COL_DEFAULT
                    )
                j = 1
                while j < len(line) - 1:
                    if line[j] == objective["name"]:
                        # we store the variable objective coefficient
                        objective["coefficients"].append(
                            dict(name=var_name, value=float(line[j + 1]))
                        )
                    else:
                        # we store the variable coefficient
                        constraints[line[j]]["coefficients"].append(
                            dict(name=var_name, value=float(line[j + 1]))
                        )
                    j = j + 2
            elif mode == CORE_FILE_RHS_MODE_NAME_GIVEN:
                if line[0] != rhs_names[-1]:
                    raise Exception(
                        "Other RHS name was given even though name was set after RHS tag."
                    )
                readMPSSetRhs(line, constraints)
            elif mode == CORE_FILE_RHS_MODE_NO_NAME:
                readMPSSetRhs(line, constraints)
                if line[0] not in rhs_names:
                    rhs_names.append(line[0])
            elif mode == CORE_FILE_BOUNDS_MODE_NAME_GIVEN:
                if line[1] != bnd_names[-1]:
                    raise Exception(
                        "Other BOUNDS name was given even though name was set after BOUNDS tag."
                    )
                readMPSSetBounds(line, variable_info)
            elif mode == CORE_FILE_BOUNDS_MODE_NO_NAME:
                readMPSSetBounds(line, variable_info)
                if line[1] not in bnd_names:
                    bnd_names.append(line[1])
    constraints = list(constraints.values())
    if dropConsNames:
        for c in constraints:
            c["name"] = None
        objective["name"] = None
    variable_info = list(variable_info.values())
    return dict(
        parameters=parameters,
        objective=objective,
        variables=variable_info,
        constraints=constraints,
        sos1=sos1,
        sos2=sos2,
    )


def readMPSSetBounds(line, variable_dict):
    bound = line[0]
    var_name = line[2]

    def set_one_bound(bound_type, value):
        variable_dict[var_name][BOUNDS_EQUIV[bound_type]] = value

    def set_both_bounds(value_low, value_up):
        set_one_bound("LO", value_low)
        set_one_bound("UP", value_up)

    if bound == "FR":
        set_both_bounds(None, None)
        return
    elif bound == "BV":
        set_both_bounds(0, 1)
        return
    value = float(line[3])
    if bound in ["LO", "UP"]:
        set_one_bound(bound, value)
    elif bound == "FX":
        set_both_bounds(value, value)
    return


def readMPSSetRhs(line, constraintsDict):
    constraintsDict[line[1]]["constant"] = -float(line[2])
    if len(line) == 5:  # read fields 5, 6
        constraintsDict[line[3]]["constant"] = -float(line[4])
    return


def writeMPS(
    LpProblem, filename, mpsSense=0, rename=0, mip=1, with_objsense: bool = False
):
    wasNone, dummyVar = LpProblem.fixObjective()
    if mpsSense == 0:
        mpsSense = LpProblem.sense
    cobj = LpProblem.objective
    if mpsSense != LpProblem.sense:
        n = cobj.name
        cobj = -cobj
        cobj.name = n
    if rename:
        constrNames, varNames, cobj.name = LpProblem.normalisedNames()
        # No need to call self.variables() again, we have just filled self._variables:
        vs = LpProblem._variables
    else:
        vs = LpProblem.variables()
        varNames = {v.name: v.name for v in vs}
        constrNames = {c: c for c in LpProblem.constraints}
    model_name = LpProblem.name
    if rename:
        model_name = "MODEL"
    objName = cobj.name
    if not objName:
        objName = "OBJ"

    # constraints
    row_lines = [
        " " + const.LpConstraintTypeToMps[c.sense] + "  " + constrNames[k] + "\n"
        for k, c in LpProblem.constraints.items()
    ]
    # Creation of a dict of dict:
    # coefs[variable_name][constraint_name] = coefficient
    coefs = {varNames[v.name]: {} for v in vs}
    for k, c in LpProblem.constraints.items():
        k = constrNames[k]
        for v, value in c.items():
            coefs[varNames[v.name]][k] = value

    # matrix
    columns_lines = []
    for v in vs:
        name = varNames[v.name]
        columns_lines.extend(
            writeMPSColumnLines(coefs[name], v, mip, name, cobj, objName)
        )

    # right hand side
    rhs_lines = [
        "    RHS       %-8s  % .12e\n"
        % (constrNames[k], -c.constant if c.constant != 0 else 0)
        for k, c in LpProblem.constraints.items()
    ]
    # bounds
    bound_lines = []
    for v in vs:
        bound_lines.extend(writeMPSBoundLines(varNames[v.name], v, mip))

    with open(filename, "w") as f:
        if with_objsense:
            f.write("OBJSENSE\n")
            f.write(f" {const.LpSensesMPS[mpsSense]}\n")
        else:
            f.write(f"*SENSE:{const.LpSenses[mpsSense]}\n")
        f.write(f"NAME          {model_name}\n")
        f.write("ROWS\n")
        f.write(f" N  {objName}\n")
        f.write("".join(row_lines))
        f.write("COLUMNS\n")
        f.write("".join(columns_lines))
        f.write("RHS\n")
        f.write("".join(rhs_lines))
        f.write("BOUNDS\n")
        f.write("".join(bound_lines))
        f.write("ENDATA\n")
    LpProblem.restoreObjective(wasNone, dummyVar)
    # returns the variables, in writing order
    if rename == 0:
        return vs
    else:
        return vs, varNames, constrNames, cobj.name


def writeMPSColumnLines(cv, variable, mip, name, cobj, objName):
    columns_lines = []
    if mip and variable.cat == const.LpInteger:
        columns_lines.append("    MARK      'MARKER'                 'INTORG'\n")
    # Most of the work is done here
    _tmp = ["    %-8s  %-8s  % .12e\n" % (name, k, v) for k, v in cv.items()]
    columns_lines.extend(_tmp)

    # objective function
    if variable in cobj:
        columns_lines.append(
            "    %-8s  %-8s  % .12e\n" % (name, objName, cobj[variable])
        )
    if mip and variable.cat == const.LpInteger:
        columns_lines.append("    MARK      'MARKER'                 'INTEND'\n")
    return columns_lines


def writeMPSBoundLines(name, variable, mip):
    if variable.lowBound is not None and variable.lowBound == variable.upBound:
        return [" FX BND       %-8s  % .12e\n" % (name, variable.lowBound)]
    elif (
        variable.lowBound == 0
        and variable.upBound == 1
        and mip
        and variable.cat == const.LpInteger
    ):
        return [" BV BND       %-8s\n" % name]
    bound_lines = []
    if variable.lowBound is not None:
        # In MPS files, variables with no bounds (i.e. >= 0)
        # are assumed BV by COIN and CPLEX.
        # So we explicitly write a 0 lower bound in this case.
        if variable.lowBound != 0 or (
            mip and variable.cat == const.LpInteger and variable.upBound is None
        ):
            bound_lines.append(
                " LO BND       %-8s  % .12e\n" % (name, variable.lowBound)
            )
    else:
        if variable.upBound is not None:
            bound_lines.append(" MI BND       %-8s\n" % name)
        else:
            bound_lines.append(" FR BND       %-8s\n" % name)
    if variable.upBound is not None:
        bound_lines.append(" UP BND       %-8s  % .12e\n" % (name, variable.upBound))
    return bound_lines


def writeLP(LpProblem, filename, writeSOS=1, mip=1, max_length=100):
    f = open(filename, "w")
    f.write("\\* " + LpProblem.name + " *\\\n")
    if LpProblem.sense == 1:
        f.write("Minimize\n")
    else:
        f.write("Maximize\n")
    wasNone, objectiveDummyVar = LpProblem.fixObjective()
    objName = LpProblem.objective.name
    if not objName:
        objName = "OBJ"
    f.write(LpProblem.objective.asCplexLpAffineExpression(objName, constant=0))
    f.write("Subject To\n")
    ks = list(LpProblem.constraints.keys())
    ks.sort()
    dummyWritten = False
    for k in ks:
        constraint = LpProblem.constraints[k]
        if not list(constraint.keys()):
            # empty constraint add the dummyVar
            dummyVar = LpProblem.get_dummyVar()
            constraint += dummyVar
            # set this dummyvar to zero so infeasible problems are not made feasible
            if not dummyWritten:
                f.write((dummyVar == 0.0).asCplexLpConstraint("_dummy"))
                dummyWritten = True
        f.write(constraint.asCplexLpConstraint(k))
    # check if any names are longer than 100 characters
    LpProblem.checkLengthVars(max_length)
    vs = LpProblem.variables()
    # check for repeated names
    LpProblem.checkDuplicateVars()
    # Bounds on non-"positive" variables
    # Note: XPRESS and CPLEX do not interpret integer variables without
    # explicit bounds
    if mip:
        vg = [
            v
            for v in vs
            if not (v.isPositive() and v.cat == const.LpContinuous) and not v.isBinary()
        ]
    else:
        vg = [v for v in vs if not v.isPositive()]
    if vg:
        f.write("Bounds\n")
        for v in vg:
            f.write(f" {v.asCplexLpVariable()}\n")
    # Integer non-binary variables
    if mip:
        vg = [v for v in vs if v.cat == const.LpInteger and not v.isBinary()]
        if vg:
            f.write("Generals\n")
            for v in vg:
                f.write(f"{v.name}\n")
        # Binary variables
        vg = [v for v in vs if v.isBinary()]
        if vg:
            f.write("Binaries\n")
            for v in vg:
                f.write(f"{v.name}\n")
    # Special Ordered Sets
    if writeSOS and (LpProblem.sos1 or LpProblem.sos2):
        f.write("SOS\n")
        if LpProblem.sos1:
            for sos in LpProblem.sos1.values():
                f.write("S1:: \n")
                for v, val in sos.items():
                    f.write(f" {v.name}: {val:.12g}\n")
        if LpProblem.sos2:
            for sos in LpProblem.sos2.values():
                f.write("S2:: \n")
                for v, val in sos.items():
                    f.write(f" {v.name}: {val:.12g}\n")
    f.write("End\n")
    f.close()
    LpProblem.restoreObjective(wasNone, objectiveDummyVar)
    return vs