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# Conflicts: # CHANGELOG.md # ladim/__init__.py
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__version__ = '1.3.5' | ||
__version__ = '2.0.0' | ||
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from .main import main, run |
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""" | ||
Functions for parsing configuration parameters. | ||
The module contains functions for parsing input configuration | ||
parameters, appending default values and converting between | ||
different versions of config file formats. | ||
""" | ||
import numpy as np | ||
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def configure(module_conf): | ||
import yaml | ||
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# Handle variations of input config type | ||
if isinstance(module_conf, dict): | ||
config_dict = module_conf | ||
else: | ||
config_dict = yaml.safe_load(module_conf) | ||
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if 'version' not in config_dict: | ||
if 'particle_release' in config_dict: | ||
config_dict['version'] = 1 | ||
else: | ||
config_dict['version'] = 2 | ||
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return _versioned_configure(config_dict) | ||
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def _versioned_configure(config_dict): | ||
if config_dict['version'] == 1: | ||
config_dict = _convert_1_to_2(config_dict) | ||
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return config_dict | ||
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def _convert_1_to_2(c): | ||
# Read timedelta | ||
dt_value, dt_unit = c['numerics']['dt'] | ||
dt_sec = np.timedelta64(dt_value, dt_unit).astype('timedelta64[s]').astype('int64') | ||
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# Read output variables | ||
outvars = dict() | ||
outvar_names = c['output_variables'].get('particle', []) + c['output_variables'].get('instance', []) | ||
for v in outvar_names: | ||
outvars[v] = c['output_variables'][v].copy() | ||
for v in c['output_variables'].get('particle', []): | ||
outvars[v]['kind'] = 'initial' | ||
if 'release_time' in outvars and 'units' in outvars['release_time']: | ||
outvars['release_time']['units'] = 'seconds since 1970-01-01' | ||
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# Read release config | ||
relconf = dict( | ||
file=c['files']['particle_release_file'], | ||
frequency=c['particle_release'].get('release_frequency', [0, 's']), | ||
colnames=c['particle_release']['variables'], | ||
formats={ | ||
c['particle_release'][v]: v | ||
for v in c['particle_release']['variables'] | ||
if v in c['particle_release'].keys() | ||
}, | ||
) | ||
if c['particle_release'].get('release_type', '') != 'continuous': | ||
del relconf['frequency'] | ||
ibmvars = c.get('state', dict()).get('ibm_variables', []) | ||
ibmvars += c.get('ibm', dict()).get('variables', []) | ||
relconf['defaults'] = { | ||
k: np.float64(0) | ||
for k in ibmvars | ||
if k not in relconf['colnames'] | ||
} | ||
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# Read ibm config | ||
ibmconf_legacy = c.get('ibm', dict()).copy() | ||
if 'module' in ibmconf_legacy: | ||
ibmconf_legacy['ibm_module'] = ibmconf_legacy.pop('module') | ||
ibmconf = dict() | ||
if 'ibm_module' in ibmconf_legacy: | ||
ibmconf['module'] = 'ladim.ibms.LegacyIBM' | ||
ibmconf['legacy_module'] = ibmconf_legacy['ibm_module'] | ||
ibmconf['conf'] = dict( | ||
dt=dt_sec, | ||
output_instance=c.get('output_variables', {}).get('instance', []), | ||
nc_attributes={k: v for k, v in outvars.items()} | ||
) | ||
ibmconf['conf']['ibm'] = { | ||
k: v | ||
for k, v in ibmconf_legacy.items() | ||
if k != 'ibm_module' | ||
} | ||
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config_dict = dict( | ||
version=2, | ||
solver=dict( | ||
start=c['time_control']['start_time'], | ||
stop=c['time_control']['stop_time'], | ||
step=dt_sec, | ||
seed=c['numerics'].get('seed', None), | ||
order=['release', 'forcing', 'output', 'tracker', 'ibm', 'state'], | ||
), | ||
grid=dict( | ||
file=c['gridforce']['input_file'], | ||
legacy_module=c['gridforce']['module'] + '.Grid', | ||
start_time=np.datetime64(c['time_control']['start_time'], 's'), | ||
), | ||
forcing=dict( | ||
file=c['gridforce']['input_file'], | ||
legacy_module=c['gridforce']['module'] + '.Forcing', | ||
start_time=np.datetime64(c['time_control']['start_time'], 's'), | ||
stop_time=np.datetime64(c['time_control']['stop_time'], 's'), | ||
dt=dt_sec, | ||
ibm_forcing=c['gridforce'].get('ibm_forcing', []), | ||
), | ||
release=relconf, | ||
output=dict( | ||
file=c['files']['output_file'], | ||
frequency=c['output_variables']['outper'], | ||
variables=outvars, | ||
), | ||
tracker=dict( | ||
method=c['numerics']['advection'], | ||
diffusion=c['numerics']['diffusion'], | ||
), | ||
ibm=ibmconf, | ||
) | ||
return config_dict |
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