# coding=utf-8
from earthdiagnostics import cdftools
from earthdiagnostics.box import Box
from earthdiagnostics.constants import Basins
from earthdiagnostics.diagnostic import Diagnostic, DiagnosticOption, DiagnosticIntOption, DiagnosticDomainOption, \
    DiagnosticBoolOption, DiagnosticBasinOption, DiagnosticVariableOption
from earthdiagnostics.utils import Utils, TempFile
from earthdiagnostics.modelingrealm import ModelingRealms


class RegionMean(Diagnostic):
    """
    Chooses vertical level in ocean, or vertically averages between
    2 or more  ocean levels

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

    :created: January 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 to average
    :type variable: str
    :param box: box used to restrict the vertical mean
    :type box: Box
    """

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

    def __init__(self, data_manager, startdate, member, chunk, domain, variable, grid, box, save3d, basin):
        Diagnostic.__init__(self, data_manager)
        self.startdate = startdate
        self.member = member
        self.chunk = chunk
        self.domain = domain
        self.variable = variable
        self.grid = grid.upper()
        self.box = box
        self.save3d = save3d
        self.basin = basin
        self.required_vars = [variable]
        self.generated_vars = [variable + 'vmean']

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

    def __str__(self):
        return 'Vertical mean Startdate: {0} Member: {1} Chunk: {2} Variable: {3} ' \
               'Box: {4}'.format(self.startdate, self.member, self.chunk, self.variable, self.box)

    @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: variable, minimum depth (level), maximum depth (level)
        :type options: list[str]
        :return:
        """
        options_available = (DiagnosticDomainOption('domain'),
                             DiagnosticVariableOption('variable'),
                             DiagnosticOption('grid'),
                             DiagnosticBasinOption('basin', Basins.Global),
                             DiagnosticBoolOption('save3D', False),
                             DiagnosticIntOption('min_depth', 0),
                             DiagnosticIntOption('max_depth', 0))
        options = cls.process_options(options, options_available)

        box = Box()
        box.min_depth = options['min_depth']
        box.max_depth = options['max_depth']

        job_list = list()
        for startdate, member, chunk in diags.config.experiment.get_chunk_list():
            job_list.append(RegionMean(diags.data_manager, startdate, member, chunk,
                                       options['domain'], options['variable'], options['grid'], box, options['save3D'],
                                       options['basin']))
        return job_list

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

        cdfmean_options = [self.variable, self.grid, 0, 0, 0, 0, self.box.min_depth, self.box.max_depth]
        if self.basin != Basins.Global:
            cdfmean_options.append('-M')
            cdfmean_options.append('mask_regions.3d.nc')
            cdfmean_options.append(self.basin.shortname)

        cdftools.run('cdfmean', input=variable_file, output=temp, options=cdfmean_options)
        Utils.setminmax(temp, 'mean_{0}'.format(self.variable))

        if self.box.min_depth == 0:
            # For cdftools, this is all levels
            box_save = None
        else:
            box_save = self.box

        self.send_file(temp, ModelingRealms.ocean, self.variable + 'mean', self.startdate, self.member, self.chunk,
                       box=box_save, rename_var='mean_{0}'.format(self.variable), region=self.basin)
        if self.save3d:
            Utils.setminmax(temp, 'mean_3D{0}'.format(self.variable))
            self.send_file(temp, ModelingRealms.ocean, self.variable + '3dmean', self.startdate, self.member,
                           self.chunk, box=box_save, rename_var='mean_3D{0}'.format(self.variable), region=self.basin)