Nested Dicts
Python multiple-default dicts, list-keyed dicts, dotted-key dicts and Arrays of Tables classes.
pip install nested-dicts
Examples
DefaultsDictABC
Implement the choose_factory method on a subclass
to select a factory. The returned factory is itself
called with the key value (unlike collections.defaultdict.__missing__)
The following 4 examples all define a dictionary subclass d for which
d == {'k': {'sub_dict_key': 'v'}} is True.
NestedDefaultsDict
>>> d = NestedDefaultsDict()
>>> d['k']['sub_dict_key'] = 'v'
ListKeyedDict
>>> d = ListKeyedDict.from_nested_dict({'k': {'sub_dict_key': 'v'}})
>>> d[['k', 'sub_dict_key']]
'v'
ListKeyedNestedDefaultsDict
>>> d = ListKeyedNestedDefaultsDict()
>>> d[['k', 'sub_dict_key']] = 'v'
DottedKeyedNestedDefaultsDict
>>> d = DottedKeyedNestedDefaultsDict()
>>> d['k.sub_dict_key'] = 'v'
TOMLTable
>>> from nested_dicts import TOMLTable
>>> t = TOMLTable()
>>> t['table-1'].update(
... key1 = "some string",
... key2 = 123)
>>> t['table-2'].update(
... key1 = "another string",
... key2 = 456)
>>> t
{'table-1': {'key1': 'some string', 'key2': 123}, 'table-2': {'key1': 'another string', 'key2': 456}}
Values in TOMLTable()s indexed with lists behave like Arrays of Tables, even when only read
>>> from nested_dicts import TOMLTable
>>> t = TOMLTable()
>>> t[['products']].update(
name = "Hammer",
sku = 738594937
)
>>> t[['products']] # empty table within the array
{}
>>> t[['products']].update(
name = "Nail",
sku = 284758393,
color = "gray"
)
>>> t
{'products': [{'name': 'Hammer', 'sku': 738594937}, {}, {'name': 'Nail', 'sku': 284758393, 'color': 'gray'}]}
