"""This module defines an ASE interface to FHI-aims.

Felix Hanke hanke@liverpool.ac.uk
Jonas Bjork j.bjork@liverpool.ac.uk
Simon P. Rittmeyer simon.rittmeyer@tum.de
"""

import os

import numpy as np
import warnings
import time

from ase.units import Hartree
from ase.io.aims import write_aims, read_aims
from ase.data import atomic_numbers
from ase.calculators.calculator import FileIOCalculator, Parameters, kpts2mp, \
    ReadError, PropertyNotImplementedError
from ase.utils import basestring


float_keys = [
    'charge',
    'charge_mix_param',
    'default_initial_moment',
    'fixed_spin_moment',
    'hartree_convergence_parameter',
    'harmonic_length_scale',
    'ini_linear_mix_param',
    'ini_spin_mix_parma',
    'initial_moment',
    'MD_MB_init',
    'MD_time_step',
    'prec_mix_param',
    'set_vacuum_level',
    'spin_mix_param',
]

exp_keys = [
    'basis_threshold',
    'occupation_thr',
    'sc_accuracy_eev',
    'sc_accuracy_etot',
    'sc_accuracy_forces',
    'sc_accuracy_rho',
    'sc_accuracy_stress',
]

string_keys = [
    'communication_type',
    'density_update_method',
    'KS_method',
    'mixer',
    'output_level',
    'packed_matrix_format',
    'relax_unit_cell',
    'restart',
    'restart_read_only',
    'restart_write_only',
    'spin',
    'total_energy_method',
    'qpe_calc',
    'xc',
    'species_dir',
    'run_command',
]

int_keys = [
    'empty_states',
    'ini_linear_mixing',
    'max_relaxation_steps',
    'max_zeroin',
    'multiplicity',
    'n_max_pulay',
    'sc_iter_limit',
    'walltime',
]

bool_keys = [
    'collect_eigenvectors',
    'compute_forces',
    'compute_kinetic',
    'compute_numerical_stress',
    'compute_analytical_stress',
    'distributed_spline_storage',
    'evaluate_work_function',
    'final_forces_cleaned',
    'hessian_to_restart_geometry',
    'load_balancing',
    'MD_clean_rotations',
    'MD_restart',
    'override_illconditioning',
    'override_relativity',
    'restart_relaxations',
    'squeeze_memory',
    'symmetry_reduced_k_grid',
    'use_density_matrix',
    'use_dipole_correction',
    'use_local_index',
    'use_logsbt',
    'vdw_correction_hirshfeld',
]

list_keys = [
    'init_hess',
    'k_grid',
    'k_offset',
    'MD_run',
    'MD_schedule',
    'MD_segment',
    'mixer_threshold',
    'occupation_type',
    'output',
    'cube',
    'preconditioner',
    'relativistic',
    'relax_geometry',
]


class Aims(FileIOCalculator):
    # was "command" before the refactoring to dynamical commands
    __command_default = 'aims.version.serial.x > aims.out'
    __outfilename_default = 'aims.out'

    implemented_properties = ['energy', 'forces', 'stress', 'dipole', 'magmom']

    def __init__(self, restart=None, ignore_bad_restart_file=False,
                 label=os.curdir, atoms=None, cubes=None, radmul=None,
                 tier=None, aims_command=None,
                 outfilename=None, **kwargs):
        """Construct the FHI-aims calculator.

        The keyword arguments (kwargs) can be one of the ASE standard
        keywords: 'xc', 'kpts' and 'smearing' or any of FHI-aims'
        native keywords.

        .. note:: The behavior of command/run_command has been refactored ase X.X.X
          It is now possible to independently specify the command to call
          FHI-aims and the outputfile into which stdout is directed. In
          general, we replaced

              <run_command> = <aims_command> + " > " + <outfilename

          That is,what used to be, e.g.,

          >>> calc = Aims(run_command = "mpiexec -np 4 aims.x > aims.out")

          can now be achieved with the two arguments

          >>> calc = Aims(aims_command = "mpiexec -np 4 aims.x"
          >>>             outfilename = "aims.out")

          Backward compatibility, however, is provided. Also, the command
          actually used to run FHI-aims is dynamically updated (i.e., the
          "command" member variable). That is, e.g.,

          >>> calc = Aims()
          >>> print(calc.command)
          aims.version.serial.x > aims.out
          >>> calc.outfilename = "systemX.out"
          >>> print(calc.command)
          aims.version.serial.x > systemX.out
          >>> calc.aims_command = "mpiexec -np 4 aims.version.scalapack.mpi.x"
          >>> print(calc.command)
          mpiexec -np 4 aims.version.scalapack.mpi > systemX.out


        Arguments:

        cubes: AimsCube object
            Cube file specification.

        radmul: int
            Set radial multiplier for the basis set of all atomic species.

        tier: int or array of ints
            Set basis set tier for all atomic species.

        aims_command : str
            The full command as executed to run FHI-aims *without* the
            redirection to stdout. For instance "mpiexec -np 4 aims.x". Note
            that this is not the same as "command" or "run_command".
            .. note:: Added in ase X.X.X

        outfilename : str
            The file (incl. path) to which stdout is redirected. Defaults to
            "aims.out"
            .. note:: Added in ase X.X.X

        run_command : str, optional (default=None)
            Same as "command", see FileIOCalculator documentation.
            .. note:: Deprecated in ase X.X.X

        outfilename : str, optional (default=aims.out)
            File into which the stdout of the FHI aims run is piped into. Note
            that this will be only of any effect, if the <run_command> does not
            yet contain a '>' directive.

        kwargs : dict
            Any of the base class arguments.

        """
        # yes, we pop the key and run it through our legacy filters
        command = kwargs.pop('command', None)

        # Check for the "run_command" (deprecated keyword)
        # Consistently, the "command" argument should be used as suggested by the FileIO base class.
        # For legacy reasons, however,  we here also accept "run_command"
        run_command = kwargs.pop('run_command', None)
        if run_command:
            # this warning is debatable... in my eyes it is more consistent to
            # use 'command'
            warnings.warn('Argument "run_command" is deprecated and will be replaced with "command". Alternatively, use "aims_command" and "outfile". See documentation for more details.')
            if command:
                warnings.warn('Caution! Argument "command" overwrites "run_command.')
            else:
                command=run_command

        # this is the fallback to the default value for empty init
        if np.all([i is None for i in (command, aims_command, outfilename)]):
            # we go for the FileIOCalculator default way (env variable) with the former default as fallback
            command = os.environ.get('ASE_AIMS_COMMAND', Aims.__command_default)


        # filter the command and set the member variables "aims_command" and "outfilename"
        self.__init_command(command=command,
                            aims_command=aims_command,
                            outfilename=outfilename)

        FileIOCalculator.__init__(self, restart, ignore_bad_restart_file,
                                  label, atoms,
                                  # well, this is not nice, but cannot work around it...
                                  command=self.command,
                                  **kwargs)

        self.cubes = cubes
        self.radmul = radmul
        self.tier = tier

    # handling the filtering for dynamical commands with properties,
    @property
    def command(self):
        return self.__command
    @command.setter
    def command(self, x):
        self.__update_command(command=x)

    @property
    def aims_command(self):
        return self.__aims_command

    @aims_command.setter
    def aims_command(self, x):
        self.__update_command(aims_command=x)

    @property
    def outfilename(self):
        return self.__outfilename

    @outfilename.setter
    def outfilename(self, x):
        self.__update_command(outfilename=x)

    def __init_command(self, command=None, aims_command=None,
                       outfilename=None):
        """
        Create the private variables for which properties are defines and set
        them accordingly.
        """
        # new class variables due to dynamical command handling
        self.__aims_command = None
        self.__outfilename = None
        self.__command = None

        # filter the command and set the member variables "aims_command" and "outfilename"
        self.__update_command(command=command,
                             aims_command=aims_command,
                             outfilename=outfilename)

    # legacy handling of the (run_)command behavior a.k.a. a universal setter routine
    def __update_command(self, command=None, aims_command=None,
                         outfilename=None):
        """
        Abstracted generic setter routine for a dynamic behavior of "command".

        The command that is actually called on the command line and enters the
        base class, is <command> = <aims_command> > <outfilename>.

        This new scheme has been introduced in order to conveniently change the
        outfile name from the outside while automatically updating the
        <command> member variable.

        Obiously, changing <command> conflicts with changing <aims_command>
        and/or <outfilename>, which thus raises a <ValueError>. This should,
        however, not happen if this routine is not used outside the property
        definitions.

        Parameters
        ----------
        command : str
            The full command as executed to run FHI-aims. This includes
            any potential mpiexec call, as well as the redirection of stdout.
            For instance "mpiexec -np 4 aims.x > aims.out".

        aims_command : str
            The full command as executed to run FHI-aims *without* the
            redirection to stdout. For instance "mpiexec -np 4 aims.x"

        outfilename : str
            The file (incl. path) to which stdout is redirected.
        """
        # disentangle the command if given
        if command:
            if aims_command:
                raise ValueError('Cannot specify "command" and "aims_command" simultaneously.')
            if outfilename:
                raise ValueError('Cannot specify "command" and "outfilename" simultaneously.')

            # check if the redirection of stdout is included
            command_spl = command.split('>')
            if len(command_spl) > 1:
                self.__aims_command = command_spl[0].strip()
                self.__outfilename = command_spl[-1].strip()
            else:
                # this should not happen if used correctly
                # but just to ensure legacy behavior of how "run_command" was handled
                self.__aims_command = command.strip()
                self.__outfilename = Aims.__outfilename_default
        else:
            if aims_command is not None:
                self.__aims_command = aims_command
            elif outfilename is None:
                # nothing to do here, empty call with 3x None
                return
            if outfilename is not None:
                self.__outfilename = outfilename
            else:
                # default to 'aims.out'
                if not self.outfilename:
                    self.__outfilename = Aims.__outfilename_default

        self.__command =  '{0:s} > {1:s}'.format(self.aims_command, self.outfilename)

    def set_atoms(self, atoms):
        self.atoms = atoms

    def set_label(self, label, update_outfilename=False):
        self.label = label
        self.directory = label
        self.prefix = ''
        # change outfile name to "<label.out>"
        if update_outfilename:
            self.outfilename="{}.out".format(os.path.basename(label))
        self.out = os.path.join(label, self.outfilename)

    def check_state(self, atoms):
        system_changes = FileIOCalculator.check_state(self, atoms)
        # Ignore unit cell for molecules:
        if not atoms.pbc.any() and 'cell' in system_changes:
            system_changes.remove('cell')
        return system_changes

    def set(self, **kwargs):
        xc = kwargs.get('xc')
        if xc:
            kwargs['xc'] = {'LDA': 'pw-lda', 'PBE': 'pbe'}.get(xc, xc)

        changed_parameters = FileIOCalculator.set(self, **kwargs)

        if changed_parameters:
            self.reset()
        return changed_parameters

    def write_input(self, atoms, properties=None, system_changes=None,
                    ghosts=None, scaled=False):
        FileIOCalculator.write_input(self, atoms, properties, system_changes)

        have_lattice_vectors = atoms.pbc.any()
        have_k_grid = ('k_grid' in self.parameters or
                       'kpts' in self.parameters)
        if have_lattice_vectors and not have_k_grid:
            raise RuntimeError('Found lattice vectors but no k-grid!')
        if not have_lattice_vectors and have_k_grid:
            raise RuntimeError('Found k-grid but no lattice vectors!')
        write_aims(os.path.join(self.directory, 'geometry.in'), atoms, scaled, ghosts)
        self.write_control(atoms, os.path.join(self.directory, 'control.in'))
        self.write_species(atoms, os.path.join(self.directory, 'control.in'))
        self.parameters.write(os.path.join(self.directory, 'parameters.ase'))

    def prepare_input_files(self):
        """
        Wrapper function to prepare input filesi, e.g., to a run on a remote
        machine
        """
        if self.atoms is None:
            raise ValueError('No atoms object attached')
        self.write_input(self.atoms)

    def write_control(self, atoms, filename):
        lim = '#' + '='*79
        output = open(filename, 'w')
        output.write(lim + '\n')
        for line in ['FHI-aims file: ' + filename,
                     'Created using the Atomic Simulation Environment (ASE)',
                     time.asctime(),
                     '',
                     'List of parameters used to initialize the calculator:',
                     ]:
            output.write('# ' + line + '\n')
        for p,v in self.parameters.iteritems():
            s = '#     {} : {}\n'.format(p, v)
            output.write(s)
        output.write(lim + '\n')


        assert not ('kpts' in self.parameters and 'k_grid' in self.parameters)
        assert not ('smearing' in self.parameters and
                    'occupation_type' in self.parameters)

        for key, value in self.parameters.items():
            if key == 'kpts':
                mp = kpts2mp(atoms, self.parameters.kpts)
                output.write('%-35s%d %d %d\n' % (('k_grid',) + tuple(mp)))
                dk = 0.5 - 0.5 / np.array(mp)
                output.write('%-35s%f %f %f\n' % (('k_offset',) + tuple(dk)))
            elif key == 'species_dir' or key == 'run_command':
                continue
            elif key == 'smearing':
                name = self.parameters.smearing[0].lower()
                if name == 'fermi-dirac':
                    name = 'fermi'
                width = self.parameters.smearing[1]
                output.write('%-35s%s %f' % ('occupation_type', name, width))
                if name == 'methfessel-paxton':
                    order = self.parameters.smearing[2]
                    output.write(' %d' % order)
                output.write('\n' % order)
            elif key == 'output':
                for output_type in value:
                    output.write('%-35s%s\n' % (key, output_type))
            elif key == 'vdw_correction_hirshfeld' and value:
                output.write('%-35s\n' % key)
            elif key in bool_keys:
                output.write('%-35s.%s.\n' % (key, repr(bool(value)).lower()))
            elif isinstance(value, (tuple, list)):
                output.write('%-35s%s\n' %
                             (key, ' '.join(str(x) for x in value)))
            elif isinstance(value, basestring):
                output.write('%-35s%s\n' % (key, value))
            else:
                output.write('%-35s%r\n' % (key, value))
        if self.cubes:
            self.cubes.write(output)
        output.write(lim + '\n\n')
        output.close()

    def read(self, label):
        FileIOCalculator.read(self, label)
        geometry = os.path.join(self.directory, 'geometry.in')
        control = os.path.join(self.directory, 'control.in')

        for filename in [geometry, control, self.out]:
            if not os.path.isfile(filename):
                raise ReadError

        self.atoms = read_aims(geometry)
        self.parameters = Parameters.read(os.path.join(self.directory,
                                                       'parameters.ase'))
        self.read_results()

    def read_results(self):
        converged = self.read_convergence()
        if not converged:
            os.system('tail -20 ' + self.out)
            raise RuntimeError('FHI-aims did not converge!\n' +
                               'The last lines of output are printed above ' +
                               'and should give an indication why.')
        self.read_energy()
        if ('compute_forces' in self.parameters or
            'sc_accuracy_forces' in self.parameters):
            self.read_forces()
        if ('compute_numerical_stress' in self.parameters or
            'compute_analytical_stress' in self.parameters):
            self.read_stress()
        if ('dipole' in self.parameters.get('output', []) and
            not self.atoms.pbc.any()):
            self.read_dipole()

    def write_species(self, atoms, filename='control.in'):
        self.ctrlname = filename
        species_path = self.parameters.get('species_dir')
        if species_path is None:
            species_path = os.environ.get('AIMS_SPECIES_DIR')
        if species_path is None:
            raise RuntimeError(
                'Missing species directory!  Use species_dir ' +
                'parameter or set $AIMS_SPECIES_DIR environment variable.')
        control = open(filename, 'a')
        symbols = atoms.get_chemical_symbols()
        symbols2 = []
        for n, symbol in enumerate(symbols):
            if symbol not in symbols2:
                symbols2.append(symbol)
        if self.tier is not None:
            if isinstance(self.tier, int):
                self.tierlist = np.ones(len(symbols2), 'int') * self.tier
            elif isinstance(self.tier, list):
                assert len(self.tier) == len(symbols2)
                self.tierlist = self.tier

        for i, symbol in enumerate(symbols2):
            fd = os.path.join(species_path, '%02i_%s_default' %
                              (atomic_numbers[symbol], symbol))
            reached_tiers = False
            for line in open(fd, 'r'):
                if self.tier is not None:
                    if 'First tier' in line:
                        reached_tiers = True
                        self.targettier = self.tierlist[i]
                        self.foundtarget = False
                        self.do_uncomment = True
                    if reached_tiers:
                        line = self.format_tiers(line)
                control.write(line)
            if self.tier is not None and not self.foundtarget:
                raise RuntimeError(
                    "Basis tier %i not found for element %s" %
                    (self.targettier, symbol))
        control.close()

        if self.radmul is not None:
            self.set_radial_multiplier()

    def format_tiers(self, line):
        if 'meV' in line:
            assert line[0] == '#'
            if 'tier' in line and 'Further' not in line:
                tier = line.split(" tier")[0]
                tier = tier.split('"')[-1]
                current_tier = self.translate_tier(tier)
                if current_tier == self.targettier:
                    self.foundtarget = True
                elif current_tier > self.targettier:
                    self.do_uncomment = False
            else:
                self.do_uncomment = False
            return line
        elif self.do_uncomment and line[0] == '#':
            return line[1:]
        elif not self.do_uncomment and line[0] != '#':
            return '#' + line
        else:
            return line

    def translate_tier(self, tier):
        if tier.lower() == 'first':
            return 1
        elif tier.lower() == 'second':
            return 2
        elif tier.lower() == 'third':
            return 3
        elif tier.lower() == 'fourth':
            return 4
        else:
            return -1

    def set_radial_multiplier(self):
        assert isinstance(self.radmul, int)
        newctrl = self.ctrlname +'.new'
        fin = open(self.ctrlname, 'r')
        fout = open(newctrl, 'w')
        newline = "    radial_multiplier   %i\n" % self.radmul
        for line in fin:
            if '    radial_multiplier' in line:
                fout.write(newline)
            else:
                fout.write(line)
        fin.close()
        fout.close()
        os.rename(newctrl, self.ctrlname)

    def get_dipole_moment(self, atoms):
        if ('dipole' not in self.parameters.get('output', []) or
            atoms.pbc.any()):
            raise PropertyNotImplementedError
        return FileIOCalculator.get_dipole_moment(self, atoms)

    def get_stress(self, atoms):
        if ('compute_numerical_stress' not in self.parameters and
            'compute_analytical_stress' not in self.parameters):
            raise PropertyNotImplementedError
        return FileIOCalculator.get_stress(self, atoms)

    def get_forces(self, atoms):
        if ('compute_forces' not in self.parameters and
            'sc_accuracy_forces' not in self.parameters):
            raise PropertyNotImplementedError
        return FileIOCalculator.get_forces(self, atoms)

    def read_dipole(self):
        "Method that reads the electric dipole moment from the output file."
        for line in open(self.out, 'r'):
            if line.rfind('Total dipole moment [eAng]') > -1:
                dipolemoment = np.array([float(f)
                                         for f in line.split()[6:9]])
        self.results['dipole'] = dipolemoment

    def read_energy(self):
        for line in open(self.out, 'r'):
            if line.rfind('Total energy corrected') > -1:
                E0 = float(line.split()[5])
            elif line.rfind('Total energy uncorrected') > -1:
                F = float(line.split()[5])
        self.results['free_energy'] = F
        self.results['energy'] = E0

    def read_forces(self):
        """Method that reads forces from the output file.

        If 'all' is switched on, the forces for all ionic steps
        in the output file will be returned, in other case only the
        forces for the last ionic configuration are returned."""
        lines = open(self.out, 'r').readlines()
        forces = np.zeros([len(self.atoms), 3])
        for n, line in enumerate(lines):
            if line.rfind('Total atomic forces') > -1:
                for iatom in range(len(self.atoms)):
                    data = lines[n + iatom + 1].split()
                    for iforce in range(3):
                        forces[iatom, iforce] = float(data[2 + iforce])
        self.results['forces'] = forces

    def read_stress(self):
        lines = open(self.out, 'r').readlines()
        stress = None
        for n, line in enumerate(lines):
            if (line.rfind('|              Analytical stress tensor') > -1 or
                line.rfind('Numerical stress tensor') > -1):
                stress = []
                for i in [n + 5, n + 6, n + 7]:
                    data = lines[i].split()
                    stress += [float(data[2]), float(data[3]), float(data[4])]
        # rearrange in 6-component form and return
        self.results['stress'] = np.array([stress[0], stress[4], stress[8],
                                           stress[5], stress[2], stress[1]])

    def read_convergence(self):
        converged = False
        lines = open(self.out, 'r').readlines()
        for n, line in enumerate(lines):
            if line.rfind('Have a nice day') > -1:
                converged = True
        return converged

    def get_number_of_iterations(self):
        return self.read_number_of_iterations()

    def read_number_of_iterations(self):
        niter = None
        lines = open(self.out, 'r').readlines()
        for n, line in enumerate(lines):
            if line.rfind('| Number of self-consistency cycles') > -1:
                niter = int(line.split(':')[-1].strip())
        return niter

    def get_electronic_temperature(self):
        return self.read_electronic_temperature()

    def read_electronic_temperature(self):
        width = None
        lines = open(self.out, 'r').readlines()
        for n, line in enumerate(lines):
            if line.rfind('Occupation type:') > -1:
                width = float(line.split('=')[-1].strip().split()[0])
        return width

    def get_number_of_electrons(self):
        return self.read_number_of_electrons()

    def read_number_of_electrons(self):
        nelect = None
        lines = open(self.out, 'r').readlines()
        for n, line in enumerate(lines):
            if line.rfind('The structure contains') > -1:
                nelect = float(line.split()[-2].strip())
        return nelect

    def get_number_of_bands(self):
        return self.read_number_of_bands()

    def read_number_of_bands(self):
        nband = None
        lines = open(self.out, 'r').readlines()
        for n, line in enumerate(lines):
            if line.rfind('Number of Kohn-Sham states') > -1:
                nband = int(line.split(':')[-1].strip())
        return nband

    def get_k_point_weights(self):
        return self.read_kpts(mode='k_point_weights')

    def get_bz_k_points(self):
        raise NotImplementedError

    def get_ibz_k_points(self):
        return self.read_kpts(mode='ibz_k_points')

    def get_spin_polarized(self):
        return self.read_number_of_spins()

    def get_number_of_spins(self):
        return 1 + self.get_spin_polarized()

    def get_magnetic_moment(self, atoms=None):
        return self.read_magnetic_moment()

    def read_number_of_spins(self):
        spinpol = None
        lines = open(self.out, 'r').readlines()
        for n, line in enumerate(lines):
            if line.rfind('| Number of spin channels') > -1:
                spinpol = int(line.split(':')[-1].strip()) - 1
        return spinpol

    def read_magnetic_moment(self):
        magmom = None
        if not self.get_spin_polarized():
            magmom = 0.0
        else:  # only for spinpolarized system Magnetisation is printed
            for line in open(self.out, 'r').readlines():
                if line.find('N_up - N_down') != -1:  # last one
                    magmom = float(line.split(':')[-1].strip())
        return magmom

    def get_fermi_level(self):
        return self.read_fermi()

    def get_eigenvalues(self, kpt=0, spin=0):
        return self.read_eigenvalues(kpt, spin, 'eigenvalues')

    def get_occupations(self, kpt=0, spin=0):
        return self.read_eigenvalues(kpt, spin, 'occupations')

    def read_fermi(self):
        E_f = None
        lines = open(self.out, 'r').readlines()
        for n, line in enumerate(lines):
            if line.rfind('| Chemical potential (Fermi level) in eV') > -1:
                E_f = float(line.split(':')[-1].strip())
        return E_f

    def read_kpts(self, mode='ibz_k_points'):
        """ Returns list of kpts weights or kpts coordinates.  """
        values = []
        assert mode in ['ibz_k_points', 'k_point_weights']
        lines = open(self.out, 'r').readlines()
        kpts = None
        kptsstart = None
        for n, line in enumerate(lines):
            if line.rfind('| Number of k-points') > -1:
                kpts = int(line.split(':')[-1].strip())
        for n, line in enumerate(lines):
            if line.rfind('K-points in task') > -1:
                kptsstart = n  # last occurrence of (
        assert not kpts is None
        assert not kptsstart is None
        text = lines[kptsstart + 1:]
        values = []
        for line in text[:kpts]:
            if mode == 'ibz_k_points':
                b = [float(c.strip()) for c in line.split()[4:7]]
            else:
                b = float(line.split()[-1])
            values.append(b)
        if len(values) == 0:
            values = None
        return np.array(values)

    def read_eigenvalues(self, kpt=0, spin=0, mode='eigenvalues'):
        """ Returns list of last eigenvalues, occupations
        for given kpt and spin.  """
        values = []
        assert mode in ['eigenvalues', 'occupations']
        lines = open(self.out, 'r').readlines()
        # number of kpts
        kpts = None
        for n, line in enumerate(lines):
            if line.rfind('| Number of k-points') > -1:
                kpts = int(line.split(':')[-1].strip())
                break
        assert not kpts is None
        assert kpt + 1 <= kpts
        # find last (eigenvalues)
        eigvalstart = None
        for n, line in enumerate(lines):
            # eigenvalues come after Preliminary charge convergence reached
            if line.rfind('Preliminary charge convergence reached') > -1:
                eigvalstart = n
                break
        assert not eigvalstart is None
        lines = lines[eigvalstart:]
        for n, line in enumerate(lines):
            if line.rfind('Writing Kohn-Sham eigenvalues') > -1:
                eigvalstart = n
                break
        assert not eigvalstart is None
        text = lines[eigvalstart + 1:]  # remove first 1 line
        # find the requested k-point
        nbands = self.read_number_of_bands()
        sppol = self.get_spin_polarized()
        beg = ((nbands + 4 + int(sppol) * 1) * kpt * (sppol + 1) +
               3 + sppol * 2 + kpt * sppol)
        if self.get_spin_polarized():
            if spin == 0:
                beg = beg
                end = beg + nbands
            else:
                beg = beg + nbands + 5
                end = beg + nbands
        else:
            end = beg + nbands
        values = []
        for line in text[beg:end]:
            # aims prints stars for large values ...
            line = line.replace('**************', '         10000')
            line = line.replace('***************', '          10000')
            line = line.replace('****************', '           10000')
            b = [float(c.strip()) for c in line.split()[1:]]
            values.append(b)
        if mode == 'eigenvalues':
            values = [Hartree * v[1] for v in values]
        else:
            values = [v[0] for v in values]
        if len(values) == 0:
            values = None
        return np.array(values)


class AimsCube:
    "Object to ensure the output of cube files, can be attached to Aims object"
    def __init__(self, origin=(0, 0, 0),
                 edges=[(0.1, 0.0, 0.0), (0.0, 0.1, 0.0), (0.0, 0.0, 0.1)],
                 points=(50, 50, 50), plots=None):
        """parameters:

        origin, edges, points:
            Same as in the FHI-aims output
        plots:
            what to print, same names as in FHI-aims """

        self.name = 'AimsCube'
        self.origin = origin
        self.edges = edges
        self.points = points
        self.plots = plots

    def ncubes(self):
        """returns the number of cube files to output """
        if self.plots:
            number = len(self.plots)
        else:
            number = 0
        return number

    def set(self, **kwargs):
        """ set any of the parameters ... """
        # NOT IMPLEMENTED AT THE MOMENT!

    def move_to_base_name(self, basename):
        """ when output tracking is on or the base namem is not standard,
        this routine will rename add the base to the cube file output for
        easier tracking """
        for plot in self.plots:
            found = False
            cube = plot.split()
            if (cube[0] == 'total_density' or
                cube[0] == 'spin_density' or
                cube[0] == 'delta_density'):
                found = True
                old_name = cube[0] + '.cube'
                new_name = basename + '.' + old_name
            if cube[0] == 'eigenstate' or cube[0] == 'eigenstate_density':
                found = True
                state = int(cube[1])
                s_state = cube[1]
                for i in [10, 100, 1000, 10000]:
                    if state < i:
                        s_state = '0' + s_state
                old_name = cube[0] + '_' + s_state + '_spin_1.cube'
                new_name = basename + '.' + old_name
            if found:
                os.system('mv ' + old_name + ' ' + new_name)

    def add_plot(self, name):
        """ in case you forgot one ... """
        self.plots += [name]

    def write(self, file):
        """ write the necessary output to the already opened control.in """
        file.write('output cube ' + self.plots[0] + '\n')
        file.write('   cube origin ')
        for ival in self.origin:
            file.write(str(ival) + ' ')
        file.write('\n')
        for i in range(3):
            file.write('   cube edge ' + str(self.points[i]) + ' ')
            for ival in self.edges[i]:
                file.write(str(ival) + ' ')
            file.write('\n')
        if self.ncubes() > 1:
            for i in range(self.ncubes() - 1):
                file.write('output cube ' + self.plots[i + 1] + '\n')
