# coding=utf-8
import numpy as np
from bscearth.utils.log import Log

from earthdiagnostics import cdftools
from earthdiagnostics.constants import Basins
from earthdiagnostics.diagnostic import Diagnostic
from earthdiagnostics.utils import Utils, TempFile
from earthdiagnostics.modelingrealm import ModelingRealms


class Moc(Diagnostic):
    """
    Compute the MOC for oceanic basins

    :original author: Virginie Guemas <virginie.guemas@bsc.es>
    :contributor: Javier Vegas-Regidor<javier.vegas@bsc.es>

    :created: March 2012
    :last modified: June 2016

    :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
    """

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

    def __init__(self, data_manager, startdate, member, chunk):
        Diagnostic.__init__(self, data_manager)
        self.startdate = startdate
        self.member = member
        self.chunk = chunk
        self.required_vars = ['vo']
        self.generated_vars = ['vsftmyz']

    def __str__(self):
        return 'MOC Startdate: {0} Member: {1} Chunk: {2}'.format(self.startdate, self.member, self.chunk)

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

    @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: None
        :type options: list[str]
        :return:
        """
        if len(options) > 1:
            raise Exception('The MOC diagnostic has no options')
        job_list = list()
        for startdate, member, chunk in diags.config.experiment.get_chunk_list():
            job_list.append(Moc(diags.data_manager, startdate, member, chunk))
        return job_list

    def compute(self):
        """
        Runs the diagnostic
        """
        temp = TempFile.get()

        input_file = self.data_manager.get_file(ModelingRealms.ocean, 'vo', self.startdate, self.member, self.chunk)

        Log.debug('Computing MOC')
        cdftools.run('cdfmoc', input=input_file, output=temp)
        Utils.nco.ncks(input=input_file, output=temp, options=('-A -v lev',))
        Utils.convert2netcdf4(temp)

        Log.debug('Reformatting variables')
        handler = Utils.openCdf(temp)

        basins_list = [Basins().Global.name]
        if 'zomsfatl' in handler.variables:
            basins_list += [Basins().Atlantic.name, Basins().Pacific.name, Basins().IndoPacific.name,
                            Basins().Indian.name]

        handler.createDimension('basin', len(basins_list))
        handler.createVariable('basin', str, 'basin')
        handler.variables['basin'][:] = np.array(basins_list, dtype=object)
        example = handler.variables['zomsfglo']
        # noinspection PyProtectedMember
        moc = handler.createVariable('vsftmyz', example.datatype,
                                     ('time', 'lev', 'i', 'j', 'basin'),
                                     fill_value=example._FillValue)

        moc.units = Utils.convert_to_ASCII_if_possible(example.units)
        moc.add_offset = example.add_offset
        moc.scale_factor = example.scale_factor

        moc[:, :, :, :, 0] = handler.variables['zomsfglo'][:]

        if 'zomsfatl' in handler.variables:
            moc[:, :, :, :, 1] = handler.variables['zomsfatl'][:]
            moc[:, :, :, :, 2] = handler.variables['zomsfpac'][:]
            moc[:, :, :, :, 3] = handler.variables['zomsfinp'][:]
            moc[:, :, :, :, 4] = handler.variables['zomsfind'][:]

        handler.close()

        Utils.nco.ncks(input=temp, output=temp,
                       options=('-O -x -v zomsfglo,zomsfatl,zomsfpac,zomsfinp,zomsfind,zomsfinp0',))
        Utils.setminmax(temp, 'vsftmyz')

        self.send_file(temp, ModelingRealms.ocean, 'vsftmyz', self.startdate, self.member, self.chunk)