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from earthdiagnostics import cdftools
from earthdiagnostics.box import Box
from earthdiagnostics.diagnostic import Diagnostic
from earthdiagnostics.utils import Utils, TempFile
class VerticalMeanMeters(Diagnostic):
"""
Averages vertically any given variable
:original author: Virginie Guemas <virginie.guemas@bsc.es>
:contributor: Javier Vegas-Regidor<javier.vegas@bsc.es>
:created: February 2012
:last modified: June 2016
"""
def __init__(self, data_manager, startdate, member, chunk, variable, box):
Diagnostic.__init__(self, data_manager)
self.startdate = startdate
self.member = member
self.chunk = chunk
self.variable = variable
self.box = box
self.required_vars = [variable]
self.generated_vars = [variable + 'vmean']
def __str__(self):
return 'Vertical mean meters 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 (meters), maximum depth (meters)
:type options: List[str]
:return:
"""
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num_options = len(options) - 1
if num_options < 1:
raise Exception('You must specify the variable to average vertically')
if num_options > 3:
raise Exception('You must specify between one and three parameters for the vertical mean')
variable = options[1]
box = Box(True)
if num_options >= 2:
box.min_depth = float(options[2])
if num_options >= 2:
box.max_depth = float(options[3])
job_list = list()
for startdate in diags.startdates:
for member in diags.members:
for chunk in range(1, diags.chunks + 1):
job_list.append(VerticalMeanMeters(diags.data_manager, startdate, member, chunk,
variable, box))
return job_list
def compute(self):
temp = TempFile.get()
variable_file = self.data_manager.get_file('ocean', self.variable, self.startdate, self.member, self.chunk)
handler = Utils.openCdf(variable_file)
if self.box.min_depth is None:
lev_min = handler.variables['lev'][0]
else:
lev_min = self.box.min_depth
if self.box.max_depth is None:
lev_max = handler.variables['lev'][-1]
else:
lev_max = self.box.max_depth
handler.close()
cdftools.run('cdfvertmean', input=variable_file, output=temp, options=[self.variable, 'T', lev_min, lev_max,
'-debug'])
Utils.setminmax(temp, '{0}_vert_mean'.format(self.variable))
self.data_manager.send_file(temp, 'ocean', self.variable + 'vmean', self.startdate, self.member, self.chunk,
box=self.box, rename_var='{0}_vert_mean'.format(self.variable))