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mean_climate_metrics_driver.py
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mean_climate_metrics_driver.py
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#!/usr/bin/env python
import logging
import json
from pcmdi_metrics.driver.outputmetrics import OutputMetrics
from pcmdi_metrics.driver.observation import Observation
from pcmdi_metrics.driver.model import Model
import pcmdi_metrics.driver.dataset
import pcmdi_metrics.driver.pmp_parser
from pcmdi_metrics import LOG_LEVEL
import ast
class PMPDriver(object):
def __init__(self, parameter):
plog = logging.getLogger("pcmdi_metrics")
plog.setLevel(LOG_LEVEL)
# create file handler which logs messages
formatter = logging.Formatter('%%(levelname)s::%%(asctime)s::%%(name)s::%s:: %%(message)s' %
(parameter.case_id), datefmt="%Y-%m-%d %H:%M")
for h in plog.handlers:
h.setFormatter(formatter)
fh = logging.FileHandler(
'pcmdi_metrics_driver.%s.log' % (parameter.case_id))
fh.setLevel(LOG_LEVEL)
formatter = logging.Formatter(
'%(levelname)s::%(asctime)s:: %(message)s', datefmt="%Y-%m-%d %H:%M")
fh.setFormatter(formatter)
plog.addHandler(fh)
self.parameter = parameter
self.obs_dict = {}
self.regions_dict = {}
self.var = ''
self.output_metric = None
self.region = ''
self.sftlf = pcmdi_metrics.driver.dataset.DataSet.create_sftlf(
self.parameter)
self.default_regions = []
self.regions_specs = {}
def __call__(self):
self.run_diags()
def run_diags(self):
''' Runs the diagnostics. What did you think it did? '''
self.obs_dict = self.load_obs_dict()
self.regions_dict = self.create_regions_dict()
for self.var_name_long in self.parameter.vars:
self.var = self.var_name_long.split('_')[0]
if self.var not in self.obs_dict:
logging.getLogger("pcmdi_metrics").error(
'Variable %s not in obs_dict' % self.var)
continue
for region in self.regions_dict[self.var]:
logging.getLogger("pcmdi_metrics").info("REGION: {}".format(region))
self.region = self.create_region(region)
self.run_reference_and_test_comparison()
def load_obs_dict(self):
''' Loads obs_info_dictionary.json and appends
custom_observations from the parameter file if needed. '''
obs_file_name = 'obs_info_dictionary.json'
obs_json_file = pcmdi_metrics.driver.dataset.DataSet.load_path_as_file_obj(
obs_file_name)
obs_dict = json.loads(obs_json_file.read())
obs_json_file.close()
if hasattr(self.parameter, 'custom_observations'):
# Can't use load_path_as_file_obj() b/c might not be in /share/
cust_obs_json_file = open(self.parameter.custom_observations)
obs_dict.update(json.load(cust_obs_json_file))
cust_obs_json_file.close()
return obs_dict
def create_regions_dict(self):
''' Creates a dict from self.default_regions. '''
self.load_default_regions_and_regions_specs()
regions_dict = {}
for var_name_long in self.parameter.vars:
var = var_name_long.split('_')[0]
regions = self.parameter.regions
region = regions.get(var, self.default_regions)
if not isinstance(region, (list, tuple)):
region = [region]
if None in region:
region.remove(None)
for r in self.default_regions:
region.insert(0, r)
regions_dict[var] = region
return regions_dict
def load_default_regions_and_regions_specs(self):
''' Gets the default_regions dict and regions_specs dict
from default_regions.py and stores them as attributes. '''
default_regions_file = \
pcmdi_metrics.driver.dataset.DataSet.load_path_as_file_obj(
'default_regions.py')
exec(compile(open(default_regions_file.name).read(),
default_regions_file.name, 'exec'))
default_regions_file.close()
try:
self.default_regions = locals()['default_regions']
self.regions_specs = locals()['regions_specs']
except KeyError:
logging.getLogger("pcmdi_metrics").error(
'Failed to open default_regions.py')
region_values = self.parameter.regions_values
region_values.update(getattr(self.parameter, "regions_values", {}))
# Now need to edit regions_specs
for region in region_values:
insert_dict = {'value': region_values[region]}
if region in self.regions_specs:
self.regions_specs[region].update(insert_dict)
else:
self.regions_specs[region] = insert_dict
self.regions_specs.update(getattr(self.parameter,
"regions_specs", {}))
def create_region(self, region):
''' From the argument region, it gets that region from self.regions_specs
(which itself is loaded from default_regions.py) '''
if isinstance(region, str):
region_name = region
region = self.regions_specs.get(
region_name,
self.regions_specs.get(region_name.lower()))
region['id'] = region_name
elif region is None:
# It's okay if region == None
pass
else:
raise Exception('Unknown region: %s' % region)
return region
def run_reference_and_test_comparison(self):
''' Does the (obs or model) vs (obs or model) comparison. '''
reference_data_set = self.parameter.reference_data_set
test_data_set = self.parameter.test_data_set
reference_data_set_is_obs = self.is_data_set_obs(reference_data_set)
test_data_set_is_obs = self.is_data_set_obs(test_data_set)
# If either the reference or test are obs, the data sets
# themselves need to be modified.
if reference_data_set_is_obs:
reference_data_set = Observation.setup_obs_list_from_parameter(
reference_data_set, self.obs_dict, self.var)
if test_data_set_is_obs:
test_data_set = Observation.setup_obs_list_from_parameter(
test_data_set, self.obs_dict, self.var)
if len(reference_data_set) == 0: # We did not find any ref!!!
raise RuntimeError("No reference dataset found!")
# self.reference/self.test are either an obs or model
for reference in reference_data_set:
try:
ref = self.determine_obs_or_model(reference_data_set_is_obs,
reference, self.parameter.reference_data_path)
# TODO Make this a custom exception. This exception is for
# when a model doesn't have sftlf for a given region
except RuntimeError:
continue
for test in test_data_set:
logging.getLogger("pcmdi_metrics").info("TEST DATA IS: {}".format(test))
self.output_metric = OutputMetrics(self.parameter, self.var_name_long,
self.obs_dict, sftlf=self.sftlf)
self.output_metric.add_region(self.region)
try:
tst = self.determine_obs_or_model(test_data_set_is_obs,
test, self.parameter.test_data_path)
self.output_metric.obs_or_model = tst.obs_or_model
# TODO Make this a custom exception. This exception is for
# when a model doesn't have sftlf for a given region
except RuntimeError:
continue
except Exception as err:
logging.getLogger("pcmdi_metrics").info("Unexpected error:".format(err))
break
try:
self.output_metric.calculate_and_output_metrics(ref, tst)
except RuntimeError:
continue
except Exception as err:
logging.getLogger("pcmdi_metrics").info("Unexpected error in calculate output metrics:".format(err))
break
def is_data_set_obs(self, data_set):
''' Is data_set (which is either a test or reference) an obs? '''
if 'all' in data_set:
return True
data_set_is_obs = True
# If an element of data_set is not in the obs_dict, then
# data_set is a model.
for obs in data_set:
if obs not in self.obs_dict[self.var]:
data_set_is_obs = False
break
return data_set_is_obs
def determine_obs_or_model(self, is_obs, ref_or_test, data_path):
''' Actually create Observation or Module object
based on if ref_or_test is an obs or model. '''
if is_obs:
logging.getLogger("pcmdi_metrics").info(
'%s is an obs' % ref_or_test)
return Observation(self.parameter, self.var_name_long, self.region,
ref_or_test, self.obs_dict, data_path, self.sftlf)
else:
logging.getLogger("pcmdi_metrics").info(
'%s is a model' % ref_or_test)
return Model(self.parameter, self.var_name_long, self.region,
ref_or_test, self.obs_dict, data_path, self.sftlf)
def create_mean_climate_parser():
parser = pcmdi_metrics.driver.pmp_parser.PMPMetricsParser()
parser.add_argument(
'--case_id',
dest='case_id',
help='Defines a subdirectory to the metrics output, so multiple' +
'cases can be compared',
required=False)
parser.add_argument(
'-v', '--vars',
type=str,
nargs='+',
dest='vars',
help='Variables to use',
required=False)
parser.add_argument(
'--regions',
type=ast.literal_eval,
dest='regions',
help='Regions on which to run the metrics',
required=False)
parser.add_argument(
'--regions_values',
type=ast.literal_eval,
dest='regions_values',
help='Users can customize regions values names',
required=False)
parser.add_argument(
'-r', '--reference_data_set',
type=str,
nargs='+',
dest='reference_data_set',
help='List of observations or models that are used as a ' +
'reference against the test_data_set',
required=False)
parser.add_argument(
'--reference_data_path',
dest='reference_data_path',
help='Path for the reference climitologies',
required=False)
parser.add_argument(
'-t', '--test_data_set',
type=str,
nargs='+',
dest='test_data_set',
help='List of observations or models to test ' +
'against the reference_data_set',
required=False)
parser.add_argument(
'--test_data_path',
dest='test_data_path',
help='Path for the test climitologies',
required=False)
parser.add_argument(
'--target_grid',
dest='target_grid',
help='Options are "2.5x2.5" or an actual cdms2 grid object',
required=False)
parser.add_argument(
'--regrid_tool',
dest='regrid_tool',
help='Options are "regrid2" or "esmf"',
required=False)
parser.add_argument(
'--regrid_method',
dest='regrid_method',
help='Options are "linear" or "conservative", ' +
'only if regrid_tool is "esmf"',
required=False)
parser.add_argument(
'--regrid_tool_ocn',
dest='regrid_tool_ocn',
help='Options are "regrid2" or "esmf"',
required=False)
parser.add_argument(
'--regrid_method_ocn',
dest='regrid_method_ocn',
help='Options are "linear" or "conservative", ' +
'only if regrid_tool is "esmf"',
required=False)
parser.add_argument(
'--period',
dest='period',
help='A simulation parameter',
required=False)
parser.add_argument(
'--realization',
dest='realization',
help='A simulation parameter',
required=False)
parser.add_argument(
'--simulation_description_mapping',
type=ast.literal_eval,
dest='simulation_description_mapping',
help='List of observations or models to test ' +
'against the reference_data_set',
default={},
required=False)
parser.add_argument(
'--ext',
dest='ext',
help='Extension for the output files?',
required=False)
parser.add_argument(
'--dry_run',
# If input is 'True' or 'true', return True. Otherwise False.
type=lambda x: x.lower() == 'true',
dest='dry_run',
help='True if output is to be created, False otherwise',
required=False)
parser.add_argument(
'--filename_template',
dest='filename_template',
help='Template for climatology files',
required=False)
parser.add_argument(
'--sftlf_filename_template',
dest='sftlf_filename_template',
help='Filename template for landsea masks ("sftlf")',
required=False)
parser.add_argument(
'--custom_observations',
dest='custom_observations',
help='Path to an alternative, custom observation file',
required=False)
parser.add_argument(
'--metrics_output_path',
dest='metrics_output_path',
help='Directory of where to put the results',
required=False)
parser.add_argument(
'--filename_output_template',
dest='filename_output_template',
help='Filename for the interpolated test climatologies',
required=False)
parser.add_argument(
'--save_test_clims',
# If input is 'True' or 'true', return True. Otherwise False.
type=lambda x: x.lower() == 'true',
dest='save_test_clims',
help='True if to save interpolated test climatologies,' +
' otherwise False',
required=False)
parser.add_argument(
'--test_clims_interpolated_output',
dest='test_clims_interpolated_output',
help='Directory of where to put the interpolated ' +
'test climatologies',
required=False)
parser.add_argument(
'--output_json_template',
help='Filename template for results json files',
required=False)
parser.add_argument(
'--user_notes',
dest='user_notes',
help='Provide a short description to help identify this run of the PMP mean climate.',
required=False)
return parser