# coding=utf-8
from earthdiagnostics.diagnostic import Diagnostic, DiagnosticOption, DiagnosticDomainOption, \
    DiagnosticVariableListOption, DiagnosticIntOption
from earthdiagnostics.modelingrealm import ModelingRealm
from earthdiagnostics.utils import Utils, TempFile
from earthdiagnostics.box import Box


class SelectLevels(Diagnostic):
    """
    Convert i j files to lon lat when there is no interpolation required,
    i.e. lon is constant over i and lat is constat over j

    :original author: Javier Vegas-Regidor<javier.vegas@bsc.es>

    :created: April 2017

    :param data_manager: data management object
    :type data_manager: DataManager
    :param startdate: startdate
    :type startdate: str
    :param member: member number
    :type member: int
    :param chunk: chunk's number
    :type chunk: int
    :param variable: variable's name
    :type variable: str
    :param domain: variable's domain
    :type domain: ModelingRealm
    """

    alias = 'selev'
    "Diagnostic alias for the configuration file"

    def __init__(self, data_manager, startdate, member, chunk, domain, variable, grid, first_level, last_level):
        Diagnostic.__init__(self, data_manager)
        self.startdate = startdate
        self.member = member
        self.chunk = chunk
        self.variable = variable
        self.domain = domain
        self.grid = grid
        self.box = Box(False)
        self.box.min_depth = first_level
        self.box.max_depth = last_level

    def __str__(self):
        return 'Select levels Startdate: {0} Member: {1} Chunk: {2} ' \
               'Variable: {3}:{4} Levels: {6}-{7} Grid: {5}'.format(self.startdate, self.member, self.chunk, self.domain, self.variable,
                                                    self.grid, self.box.min_depth, self.box.max_depth)

    def __eq__(self, other):
        return self.startdate == other.startdate and self.member == other.member and self.chunk == other.chunk and \
            self.domain == other.domain and self.variable == other.variable and self.grid == self.grid

    @classmethod
    def generate_jobs(cls, diags, options):
        """
            Creates a job for each chunk to compute the diagnostic

            :param diags: Diagnostics manager class
            :type diags: Diags
            :param options: domain,variables,grid
            :type options: list[str]
            :return:
            """
        options_available = (DiagnosticDomainOption('domain'),
                             DiagnosticVariableListOption('variables'),
                             DiagnosticIntOption('first_level'),
                             DiagnosticIntOption('last_level'),
                             DiagnosticOption('grid', ''))
        options = cls.process_options(options, options_available)
        job_list = list()
        variables = options['variables']
        for var in variables:
            for startdate, member, chunk in diags.config.experiment.get_chunk_list():

                job_list.append(SelectLevels(diags.data_manager, startdate, member, chunk,
                                             options['domain'], var, options['grid'],
                                             options['first_level'],options['last_level']))
        return job_list

    def compute(self):
        """
        Runs the diagnostic
        """
        variable_file = self.data_manager.get_file(self.domain, self.variable, self.startdate, self.member, self.chunk,
                                                   grid=self.grid)

        Utils.nco.ncks(input=variable_file, output=variable_file, options='-O -d lev,{0.min_depth},{0.max_depth}'.format(self.box))
        self.send_file(variable_file, self.domain, self.variable, self.startdate, self.member, self.chunk,
                       grid=self.grid)

    def _create_var(self, var_name, var_values, source, destiny):
        old_var = source.variables[var_name]
        new_var = destiny.createVariable(var_name, old_var.dtype, dimensions=(var_name, ))
        new_var[:] = var_values
        Utils.copy_attributes(new_var, old_var)

        vertices_name = '{0}_vertices'.format(var_name)

        if vertices_name in source.variables:
            var_vertices = source.variables[vertices_name]
            if var_name == 'lon':
                vertices_values = var_vertices[0:1, ...]
            else:
                vertices_values = var_vertices[:, 0:1, :]
            new_lat_vertices = destiny.createVariable(vertices_name, var_vertices.dtype, dimensions=(var_name, 'vertices'))
            new_lat_vertices[:] = vertices_values
            Utils.copy_attributes(new_lat_vertices, var_vertices)