from earthdiagnostics.ocean import Salinity, Convection, Circulation, Heat, General from utils import Utils from earthdiagnostics import cdftools, TempFile from autosubmit.date.chunk_date_lib import * from parser import Parser from autosubmit.config.log import Log import shutil import os class Diags: def __init__(self, config_file): Log.debug('Initialising Diags') self._read_config(config_file) Utils.scratch_folder = os.path.join(self.scratch_dir) cdftools.path = self.cdftools_path Log.debug('Diags ready') def run(self): if not os.path.exists(self.scratch_dir): os.makedirs(self.scratch_dir) os.chdir(self.scratch_dir) self._prepare_mesh_files() # Check if cmorized and convert if not # Run diagnostics Log.info('Running diagnostics') for fulldiag in self._get_commands(): diag_options = fulldiag.split(',') diag = diag_options[0] Log.info("Running {0}", diag) Log.debug('Full command: {0}', fulldiag) if diag == 'vertmeansal': depth_min = int(diag_options[1]) depth_max = int(diag_options[2]) depth = '{0}-{1}'.format(depth_min, depth_max) for [input_file, output_file] in self._get_file_names('ocean', 'so', 'someanm{0}'.format(depth)): Salinity.vertical_mean(input_file, output_file, depth_min, depth_max) elif diag == 'convection': for [input_file, output_file] in self._get_file_names('ocean', 'mlotst', 'mlotst'): Convection.main_sites(input_file, self.nemo_version, output_file) elif diag == 'psi': for [input_file, output_file] in self._get_file_names('ocean', 'sobarstf', 'psi'): Circulation.psi(str(input_file), self.nemo_version, str(output_file)) elif diag == 'gyres': for [input_file, output_file] in self._get_file_names('ocean', 'psi', 'msftbarot'): Circulation.gyres(str(input_file), self.nemo_version, str(output_file)) elif diag == 'ohc': basin = diag_options[1] mixed_layer = int(diag_options[2]) if mixed_layer == 1: mxl = '-mlotst' elif mixed_layer == 0: mxl = '' else: mxl = '-nomlotst' depth_min = int(diag_options[3]) depth_max = int(diag_options[4]) depth = '{0}-{1}'.format(depth_min, depth_max) for [input_file, output_file] in self._get_file_names('ocean', 'thetao', 'ohc{0}{1}'.format(depth, mxl)): Heat.total(input_file, output_file, basin, mixed_layer, depth_min, depth_max) elif diag in ['moc', 'msftmyz']: for [input_file, output_file] in self._get_file_names('ocean', 'vo', 'msftmyz'): Circulation.moc(input_file, output_file) elif diag in ['mocmax', 'msftmyzmax']: if len(diag_options) != 5: Log.warning('Moc max requires 4 arguments. Skipping!') continue lat_min = int(diag_options[1]) lat_max = int(diag_options[2]) lat = '{0}-{1}'.format(lat_min, lat_max) depth_min = int(diag_options[3]) depth_max = int(diag_options[4]) depth = '{0}-{1}'.format(depth_min, depth_max) for [input_file, output_file] in self._get_file_names('ocean', 'msftmyz', 'msftmyzmax'): Circulation.max_moc(input_file, lat_min, lat_max, output_file.replace('msftmyzmax', 'msftmyzmax{0}-{1}'.format(lat, depth)), depth_min, depth_max) elif diag in ['mocarea', 'msftmyzarea']: if len(diag_options) != 6: Log.warning('area_moc requires between 5 arguments. Skipping!') continue lat_min = int(diag_options[1]) lat_max = int(diag_options[2]) lat = '{0}-{1}'.format(lat_min, lat_max) depth_min = int(diag_options[3]) depth_max = int(diag_options[4]) depth = '{0}-{1}'.format(depth_min, depth_max) basin = diag_options[5] for [input_file, output_file] in self._get_file_names('ocean', 'msftmyz', 'msftmyz{0}-{1}'.format(lat, depth)): Circulation.area_moc(input_file, lat_min, lat_max, output_file, depth_min, depth_max, basin) elif diag == 'mlotstohc': for [input_file, mlotst_file, output_file] in self._get_file_names('ocean', 'ohc', 'mlotst', 'mlotstohc'): Heat.mixed_layer_content(input_file, mlotst_file, output_file) elif diag == 'mlotstsc': for [input_file, mlotst_file, output_file] in self._get_file_names('ocean', 'so', 'mlotst', 'mlotstsc'): Salinity.mixed_layer_content(input_file, mlotst_file, output_file) elif diag == 'vertmean': variable = diag_options[1] lev_min = int(diag_options[2]) lev_max = int(diag_options[3]) lev = '{0}-{1}'.format(lev_min, lev_max) for [input_file, output_file] in self._get_file_names('ocean', variable, '{0}mean{1}'.format(variable, lev)): General.vertical_mean(input_file, output_file, variable, lev_min, lev_max) elif diag == 'interp3d': variable = diag_options[1] for [input_file, output_file] in self._get_file_names('ocean', variable, '{0}interp'.format(variable)): General.interpolate3d(input_file, output_file, variable, self.nemo_version) else: Log.warning('Diagnostic {0} not available', diag) continue Log.result('Finished {0}', diag) TempFile.clean() def _get_commands(self): Log.debug('Preparing command list') commands = self.diags.split() for alias, added_commands in self._aliases.items(): if alias in commands: Log.debug('Changing alias {0} for {1}', alias, ' '.join(added_commands)) commands.remove(alias) for add_command in added_commands: commands.append(add_command) Log.debug('Command list ready ') return commands def _prepare_mesh_files(self): dic_variables = dict() dic_variables['x'] = 'i' dic_variables['y'] = 'j' dic_variables['z'] = 'lev' dic_variables['nav_lon'] = 'lon' dic_variables['nav_lat'] = 'lat' dic_variables['nav_lev'] = 'lev' dic_variables['time_counter'] = 'time' dic_variables['t'] = 'time' Log.info('Copying mesh files') if not os.path.exists('mesh_hgr.nc'): Log.info('Copying mesh_hgr.nc') shutil.copy(os.path.join(self.con_files, 'mesh_mask_nemo.{0}.nc'.format(self.nemo_version)), 'mesh_hgr.nc') Utils.rename_variables('mesh_hgr.nc', dic_variables, False, True) if not os.path.exists('mesh_zgr.nc'): Log.info('Linking mesh_zgr.nc') os.link('mesh_hgr.nc', 'mesh_zgr.nc') if not os.path.exists('mask.nc'): Log.info('Linking mask.nc') os.link('mesh_hgr.nc', 'mask.nc') if not os.path.exists('new_maskglo.nc'): Log.info('Copying new_maskglo.nc') shutil.copy(os.path.join(self.con_files, 'new_maskglo.{0}.nc'.format(self.nemo_version)), 'new_maskglo.nc') if os.path.exists(os.path.join(self.con_files, 'mask.regions.{0}.nc'.format(self.nemo_version))) and \ not os.path.exists('mask_regions.nc'): Log.info('Copying mask_regions.nc') shutil.copy(os.path.join(self.con_files, 'mask.regions.{0}.nc'.format(self.nemo_version)), 'mask_regions.nc') Utils.rename_variables('mask_regions.nc', dic_variables, False, True) Log.result('Mesh files ready!') def _read_config(self, config_file): self.parser = Parser() self.parser.optionxform = str self.parser.read(config_file) # Read diags config self.scratch_dir = self.parser.get_option('DIAGNOSTICS', 'SCRATCH_DIR') self.data_dir = self.parser.get_option('DIAGNOSTICS', 'DATA_DIR') self.con_files = self.parser.get_option('DIAGNOSTICS', 'CON_FILES') self.diags = self.parser.get_option('DIAGNOSTICS', 'DIAGS').lower() self.frequency = self.parser.get_option('DIAGNOSTICS', 'FREQUENCY') self.cdftools_path = self.parser.get_option('DIAGNOSTICS', 'CDFTOOLS_PATH') # Read experiment config self.institute = self.parser.get_option('EXPERIMENT', 'INSTITUTE') self.expid = self.parser.get_option('EXPERIMENT', 'EXPID') self.members = self.parser.get_option('EXPERIMENT', 'MEMBERS') self.startdates = self.parser.get_option('EXPERIMENT', 'STARTDATES') self.chunk_size = self.parser.get_int_option('EXPERIMENT', 'CHUNK_SIZE') self.chunks = self.parser.get_int_option('EXPERIMENT', 'CHUNKS') self.model = self.parser.get_option('EXPERIMENT', 'MODEL') self.nemo_version = self.parser.get_option('EXPERIMENT', 'NEMO_VERSION') # Read aliases self._aliases = dict() if self.parser.has_section('ALIAS'): for option in self.parser.options('ALIAS'): self._aliases[option.lower()] = self.parser.get_option('ALIAS', option).lower().split() self.scratch_dir = os.path.join(self.scratch_dir, 'diags', self.expid) def _get_file_names(self, domain, *variables): file_names = list() for startdate in self.startdates.split(): start = parse_date(startdate) for member in self.members: member_plus = str(int(member)+1) member_path = os.path.join(self.data_dir, self.expid, startdate, 'fc'+member, 'outputs', 'output', self.institute, self.model, self.model, 'S'+startdate, self.frequency, domain) for chunk in range(1, self.chunks + 1): chunk_start = chunk_start_date(start, chunk, self.chunk_size, 'month', 'standard') chunk_end = chunk_end_date(chunk_start, self.chunk_size, 'month', 'standard') chunk_end = previous_day(chunk_end, 'standard') var_file = list() for var in variables: var_file.append(os.path.join(member_path, var, 'r{0}i1p1'.format(member_plus), '{0}_{1[0]}{2}_{3}_output_r{4}i1p1_' '{5}-{6}.nc'.format(var, domain.upper(), self.frequency, self.model, member_plus, "{0:04}{1:02}".format(chunk_start.year, chunk_start.month), "{0:04}{1:02}".format(chunk_end.year, chunk_end.month)))) file_names.append(var_file) return file_names def main(): TempFile.scratch_folder = '/scratch/Earth/jvegas' Log.set_console_level(Log.DEBUG) diags = Diags('/home/Earth/jvegas/pyCharm/ocean_diagnostics/earthdiagnostics/diags.conf') diags.run() # Utils.clean() if __name__ == "__main__": main()