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# 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)