parse_cloud_file.py

from . import input_parameters_format_specification as inp_spec
from . import myloadmat_to_obj as mlm


class cloud_descr_from_file:
    def __init__(self, cloudfilename, default_param_obj):

        if cloudfilename is None:
            print('Copying cloud parameters from main input')

            if default_param_obj.cloud_name is not None:
                cloud_name = default_param_obj.cloud_name
                cloud_output_name = default_param_obj.filen_main_outp.split('.mat')[0]
                cloud_output_name += '_' + cloud_name + '.mat'
            else:
                cloud_name = 'default'
                cloud_output_name = default_param_obj.filen_main_outp

            config_dict = {}
            inp_spec.copy_to_config_dict(config_dict, 'additional_cloud_parameters', default_param_obj)

        else:
            print(('Parsing cloud file: %s' % cloudfilename))

            # Parse cloud input file
            cloud_params = inp_spec.import_module_from_file('additional_cloud_parameters', cloudfilename)

            # Verify validity of provided module w.r.t. parameters_dict
            inp_spec.assert_module_has_parameters(cloud_params, 'additional_cloud_parameters')

            # Create config_dict with cloud parameters (unspecified parameters are set to values in default object)
            config_dict = {}
            inp_spec.update_config_dict(config_dict, cloud_params, 'additional_cloud_parameters', default_obj=default_param_obj)

            # Make names for cloud and cloud output
            cloud_name = cloudfilename.split('/')[-1].split('.cloud')[0]

            cloud_output_name = default_param_obj.filen_main_outp.split('.mat')[0]
            cloud_output_name += '_' + cloud_name + '.mat'

        config_dict['filen_main_outp'] = cloud_output_name
        config_dict['cloud_name'] = cloud_name

        cc = mlm.obj_from_dict(config_dict)

        self.cc = cc