I\'m searching for an elegant way to get data using attribute access on a dict with some nested dicts and lists (i.e. javascript-style object syntax).
For example:>
I know there's already a lot of answers here already and I'm late to the party but this method will recursively and 'in place' convert a dictionary to an object-like structure... Works in 3.x.x
def dictToObject(d):
for k,v in d.items():
if isinstance(v, dict):
d[k] = dictToObject(v)
return namedtuple('object', d.keys())(*d.values())
# Dictionary created from JSON file
d = {
'primaryKey': 'id',
'metadata':
{
'rows': 0,
'lastID': 0
},
'columns':
{
'col2': {
'dataType': 'string',
'name': 'addressLine1'
},
'col1': {
'datatype': 'string',
'name': 'postcode'
},
'col3': {
'dataType': 'string',
'name': 'addressLine2'
},
'col0': {
'datatype': 'integer',
'name': 'id'
},
'col4': {
'dataType': 'string',
'name': 'contactNumber'
}
},
'secondaryKeys': {}
}
d1 = dictToObject(d)
d1.columns.col1 # == object(datatype='string', name='postcode')
d1.metadata.rows # == 0