Accessing python dict using nested key lookup string
Recursion still works.
def walk_into( dict, key ):
head, _, tail = key.partition('.')
if tail:
return walk_into( dict[head], tail )
return dict, key
d, k = walk_into( my_dict, "root.secondary.user2" )
d[k]
can be used for getting or putting a new value.
You can have that. You can subclass dict, add the key lookup (and even retain the name dict) by using code similar to the one below. The {...}
form however will still use the builtin dict class (now called orig_dict), so you have to enclose it, like so: Dict({...})
. This implementation recursively converts dictionaries to the new form, so you don't have to use the method above for any dictionary entries that are plain dictionaries themselves.
orig_dict = dict
class Dict(orig_dict):
def __init__(self, *args, **kwargs):
super(Dict, self).__init__(*args, **kwargs)
for k, v in self.iteritems():
if type(v) == orig_dict and not isinstance(v, Dict):
super(Dict, self).__setitem__(k, Dict(v))
def __getattribute__(self, k):
try: return super(Dict, self).__getattribute__(k)
except: return self.__getitem__(k)
def __setattr__(self, k, v):
if self.has_key(k): self.__setitem__(k, v)
else: return super(Dict, self).__setattr__(k, v)
def __delattr__(self, k):
try: self.__delitem__(k)
except: super(Dict, self).__delattr__(k)
def __setitem__(self, k, v):
toconvert = type(v) == orig_dict and not isinstance(v, Dict)
super(Dict, self).__setitem__(k, Dict(v) if toconvert else v)
# dict = Dict <-- you can even do this but I advise against it
# testing:
b = Dict(a=1, b=Dict(c=2, d=3))
c = Dict({'a': 1, 'b': {'c': 2, 'd': 3}})
d = Dict(a=1, b={'c': 2, 'd': {'e': 3, 'f': {'g': 4}}})
b.a = b.b
b.b = 1
d.b.d.f.g = 40
del d.b.d.e
d.b.c += d.b.d.f.g
c.b.c += c.a
del c.a
print b
print c
print d
There's nothing in the standard library for this purpose, but it is rather easy to code this yourself:
>>> key = "root.secondary.user2"
>>> reduce(dict.get, key.split("."), my_dict)
{'age': 25, 'name': 'fred'}
This exploits the fact that the look-up for the key k
in the dictionary d
can be written as dict.get(d, k)
. Applying this iteratively using reduce()
leads to the desired result.
Edit: For completeness three functions to get, set or delete dictionary keys using this method:
def get_key(my_dict, key):
return reduce(dict.get, key.split("."), my_dict)
def set_key(my_dict, key, value):
key = key.split(".")
my_dict = reduce(dict.get, key[:-1], my_dict)
my_dict[key[-1]] = value
def del_key(my_dict, key):
key = key.split(".")
my_dict = reduce(dict.get, key[:-1], my_dict)
del my_dict[key[-1]]