Source code for chaosmagpy.config_utils

Parameters and options in ChaosMagPy are stored in a dictionary and can be
modified as desired. The following list gives an overview of the possible
keywords. The keywords can be accessed after importing chaosmagpy through:

>>> import chaosmagpy as cp
>>> cp.basicConfig['params.r_surf']  # get Earth's mean radius in km


 ======================  =============  =======================================
 Value                   Type           Description
 ======================  =============  =======================================
 'params.r_surf'         `float`        Reference radius in kilometers
                                        (defaults to Earth's surface radius of
                                        6371.2 km).
 'params.r_cmb'          `float`        Core-mantle boundary radius in
                                        kilometers (defaults to 3485.0 km).
 'params.dipole'         `list`,        Coefficients of the dipole (used for
                         `ndarray`,     GSM/SM coordinate transformations) in
                         `shape (3,)`   units of nanotesla.
 'params.ellipsoid'      `list`,        Equatorial (index 0) and polar radius
                         `ndarray`      (index 1) of the spheroid describing
                         `shape (2,)`   Earth (WGS84) in units of kilometers.
 'params.CHAOS_version'  `str`          Current version of the CHAOS model,
                                        e.g. ``'7.1'``.
 'params.cdf_to_mjd'     `int`          Number of days on Jan 01, 2000 since
                                        Jan 01, 0000 (CDF start epoch)
 ======================  =============  =======================================


 ==========================  ===========  =====================================
 Value                       Type         Description
 ==========================  ===========  =====================================
 'files.RC_index'            `h5-file`,   RC-index file (used for external
                             `txt-file`   field computation). See also
 'files.GSM_spectrum'        `npz-file`   GSM transformation coefficients. See
                                          also :func:`coordinate_utils.\\
 'files.SM_spectrum'         `npz-file`   SM transformation coefficients. See
                                          also :func:`coordinate_utils.\\
 'files.Earth_conductivity'  `txt-file`   Conductivity model of a layered Earth
                                          (used for induced fields).
 ==========================  ===========  =====================================


 ==========================  ===========  =====================================
 Value                       Type         Description
 ==========================  ===========  =====================================
 'plots.figure_width'        `float`      Plot width in inches (defaults to 6.3
                                          or equiv. 16cm)
 ==========================  ===========  =====================================

.. autosummary::
    :toctree: classes
    :template: myclass.rst



import os
import re
import json
import numpy as np
import warnings
from contextlib import contextmanager

ROOT = os.path.abspath(os.path.dirname(__file__))
LIB = os.path.join(ROOT, 'lib')

# copied/inspired by matplotlib.rcsetup
def check_path_exists(s):
    """Check that path to file exists."""
    if s is None or s == 'None':
        return None
    if os.path.exists(s):
        return s
        raise FileNotFoundError(f'{s} does not exist.')

def check_float(s):
    """Convert to float."""
        return float(s)
    except ValueError:
        raise ValueError(f'Could not convert {s} to float.')

def check_int(s):
    """Convert to integer."""
        return int(s)
    except ValueError:
        raise ValueError(f'Could not convert {s} to integer.')

def check_string(s):
    """Convert to string."""
        return str(s)
    except ValueError:
        raise ValueError(f'Could not convert {s} to string.')

def check_vector(s, len=None):
    """Check that input is vector of required length."""
        s = np.array(s)
        assert s.ndim == 1
        if len is not None:
            if s.size != len:
                raise ValueError(f'Wrong length: {s.size} != {len}.')
        return s
    except Exception as err:
        raise ValueError(f'Not a valid vector. {err}')

def check_version_string(s):
    """Check correct format of version string."""

    s = check_string(s)

    match ='\d+\.\d+', s)
    if match:
        return s
        raise ValueError(f'Not supported version format "{s}".'
                         'Must be of the form "x.x" with x an integer.')

    'params.r_surf': [6371.2, check_float],
    'params.r_cmb': [3485.0, check_float],
    'params.dipole': [np.array([-29442.0, -1501.0, 4797.1]),
                      lambda x: check_vector(x, len=3)],
    'params.ellipsoid': [np.array([6378.137, 6356.752]),
                         lambda x: check_vector(x, len=2)],
    'params.CHAOS_version': ['7.11', check_version_string],
    'params.cdf_to_mjd': [730485, check_int],

    # location of coefficient files
    'file.RC_index': [os.path.join(LIB, 'RC_index.h5'),
    'file.GSM_spectrum': [os.path.join(LIB, 'frequency_spectrum_gsm.npz'),
    'file.SM_spectrum': [os.path.join(LIB, 'frequency_spectrum_sm.npz'),
    'file.Earth_conductivity': [os.path.join(LIB, 'Earth_conductivity.dat'),

    # plot related configuration
    'plots.figure_width': [6.3, check_float],

[docs]class BasicConfig(dict): """Class for creating CHAOS configuration dictionary.""" defaults = DEFAULTS def __init__(self, *args, **kwargs): super().update(*args, **kwargs) def __setitem__(self, key, value): """Set and check value before updating dictionary.""" try: try: cval = self.defaults[key][1](value) except ValueError as err: raise ValueError(f'Key "{key}": {err}') super().__setitem__(key, cval) except KeyError: raise KeyError(f'"{key}" is not a valid parameter.') def __str__(self): return '\n'.join(map('{0[0]}: {0[1]}'.format, sorted(self.items())))
[docs] def reset(self, key): """ Load default values. Parameters ---------- key : str Single keyword that is reset to the default. """ self.__setitem__(key, self.defaults[key][0])
[docs] def fullreset(self): """ Load all default values. """ super().update({key: val for key, (val, _) in self.defaults.items()})
[docs] def load(self, filepath): """ Load configuration dictionary from file. Parameters ---------- filepath : str Filepath and name to json-formatted configuration txt-file. """ with open(filepath, 'r') as f: kwargs = json.load(f) if len(kwargs) == 0: warnings.warn( 'Configuration dictionary loaded from file is empty.') for key, value in kwargs.items(): # check format and set key value pairs self.__setitem__(key, value)
[docs] def save(self, filepath): """ Save configuration dictionary to a file. Parameters ---------- filepath : str Filepath and name of the textfile that will be saved with the configuration values. """ def default(obj): if isinstance(obj, np.ndarray): return obj.tolist() with open(filepath, 'w') as f: json.dump(self, f, default=default, indent=4, sort_keys=True) print(f'Saved configuration textfile to {filepath}.')
[docs] @contextmanager def context(self, key, value): """ Use context manager to temporarily change setting. Parameters ---------- key : str BasicConfig configuration key. value Value compatible with ``key``. Examples -------- Temporarily change the radius of Earth's surface for a computation and then change it back to the original value. .. code-block:: python from chaosmagpy import basicConfig print('Before: ', basicConfig['params.r_surf']) # change Earth's radius to 10 km with basicConfig.context('params.r_surf', 10): # do something at r_surf = 10 km ... print('Inside: ', basicConfig['params.r_surf']) print('After: ', basicConfig['params.r_surf']) """ old_value = self.__getitem__(key) self.__setitem__(key, value) yield self.__setitem__(key, old_value)
# load defaults basicConfig = BasicConfig({key: val for key, (val, _) in DEFAULTS.items()}) if __name__ == '__main__': # ensure default passes tests for key, (value, test) in DEFAULTS.items(): if not np.all(test(value) == value): print(f"{key}: {test(value)} != {value}")