Reputation: 3534
I'm still a little new to this, so I might not know all the conventional terms for things:
Is it possible to preserve Python tuples when encoding with JSON? Right now json.loads(json.dumps(tuple))
gives me a list back. I don't want to convert my tuples to lists, but I want to use JSON. So, are there options?
The reason why: I'm creating an app that uses multi-dimensional arrays, not always the same shape. I've got some class methods that use recursion to probe the arrays and cast the endpoints as a string or int. I recently realized that (based on how my recursion works) I can use tuples to prevent deeper recursive searching of arrays (Python rawks). This could come in handy in situations where I know I for sure I won't need to be probing any deeper into my data structures.
Upvotes: 68
Views: 82179
Reputation: 4174
How about this example:
import json
def serialize(obj):
if isinstance(obj, tuple):
return {'__tuple__': True, 'items': list(obj)}
elif isinstance(obj, list):
return [serialize(item) for item in obj]
elif isinstance(obj, dict):
return {key: serialize(value) for key, value in obj.items()}
else:
return obj
def deserialize(obj):
if isinstance(obj, list):
return [deserialize(item) for item in obj]
elif isinstance(obj, dict):
if '__tuple__' in obj:
return tuple(obj['items'])
else:
return {key: deserialize(value) for key, value in obj.items()}
else:
return obj
original_dict = {'tuple_key': [(1, 2, 3), 4], 'nested': {'key': (5, 6, 7)}}
json_data = json.dumps(serialize(original_dict))
decoded_dict = deserialize(json.loads(json_data))
# Print the results
Original Dictionary: {'tuple_key': [(1, 2, 3), 4], 'nested': {'key': (5, 6, 7)}}
Serialized JSON Data: {"tuple_key": {"__tuple__": true, "items": [1, 2, 3]}, "nested": {"key": {"__tuple__": true, "items": [5, 6, 7]}}}
Decoded Dictionary: {'tuple_key': [(1, 2, 3), 4], 'nested': {'key': (5, 6, 7)}}
Upvotes: 1
Reputation: 155004
Nope, it's not possible. There is no concept of a tuple in the JSON format (see here for a concise breakdown of what types exist in JSON). Python's json
module converts Python tuples to JSON lists because that's the closest thing in JSON to a tuple.
You haven't given much detail of your use case here, but if you need to store string representations of data structures that include tuples, a few possibilities immediately come to mind, which may or may not be appropriate depending upon your situation:
pickle.loads
isn't safe to use on user-provided input).repr
and ast.literal_eval
instead of json.dumps
and json.loads
. repr
will give you output reasonably similar in appearance to json.dumps
, but repr
will not convert tuples to lists. ast.literal_eval
is a less powerful, more secure version of eval
which will only decode strings, numbers, tuples, lists, dicts, booleans, and None
.Option 3 is probably the easiest and simplest solution for you.
Upvotes: 31
Reputation: 56
Pavel Anossov answered the question well. To encode objects such as tuples the code works. Having tuples as Python dict keys is also useful, and the code above does not handle tuples as dict keys. To manage tuples as keys, a boolean flag signifying if tuple is a dict key can be used and tuple gets wrapped in a layer of json.dumps(...) output; during decode, json gets taken care of by recursion.
Solution can allow to pass data structures of tuple vs value that enables easier hashing. Python def __hash__(self):
frequently returns the hash of tuple of items in an object, and sometimes it is useful to have simpler data structures not wrapped in classes.
__tuple__
can be obfuscated so that in case someone encodes a string __tuple__
as part of dict key it can pass through encoder / decoder.Code below is what I came up with to take care of encoding tuples in Python dict keys. A couple of basic tests are included as part of __main__
to demonstrate the solution. Readability of encoding output is forgone to increase the number of cases that pass through the solution.
# Pavel Anossov's solution hinted this:
import json
tuple_signifier = '__tuple__s_i_g_n_i_f_i_e_r__'
class StreamTuple(dict):
def __hash__(self):
return hash(str(self))
class MultiDimensionalArrayEncoder(json.JSONEncoder):
def encode(self, obj):
def hint_tuples(item, dict_key=False):
global tuple_signifier
ret_val = None
if isinstance(item, tuple):
if dict_key:
ret_val = json.dumps(dict(
[(
tuple_signifier,
json.dumps(hint_tuples(list(item))),
),],
))
else:
ret_val = dict(
[(
tuple_signifier,
json.dumps(hint_tuples(list(item))),
),],
)
elif isinstance(item, list):
ret_val = [hint_tuples(e) for e in item]
elif isinstance(item, dict):
ret_val = dict([
(hint_tuples(key, dict_key=True), hint_tuples(value))
for key, value in item.items()
])
else:
ret_val = item
return ret_val
return super(MultiDimensionalArrayEncoder, self).\
encode(hint_tuples(obj))
def hinted_tuple_hook(obj):
global tuple_signifier
ret_val = {}
if tuple_signifier in obj:
ret_val = tuple(json.loads(obj[tuple_signifier], object_hook=hinted_tuple_hook,))
else:
for k, v in obj.items():
inner_k = k
inner_v = v
if isinstance(k, str) and tuple_signifier in k:
inner_k = json.loads(k, object_hook=hinted_tuple_hook,)
if isinstance(v, str) and tuple_signifier in v:
inner_v = json.loads(v, object_hook=hinted_tuple_hook,)
ret_val[inner_k] = inner_v
return ret_val
#
# Some tests that show how to use the above hinted tuple hook to encode
# / decode Python tuples.
#
if __name__ == '__main__':
enc = MultiDimensionalArrayEncoder()
test_input_1 = (2,)
test_input_2 = {(2,): 'a'}
test_input_3 = {'a': {(2,): {1:'a'}}}
print('test_input_1 encoded:', enc.encode(test_input_1), test_input_1)
print('test_input_1 decoded:',
json.loads(enc.encode(test_input_1),
object_hook=hinted_tuple_hook,)
)
#"""
print('test_input_2 encoded:', enc.encode(test_input_2))
print('test_input_2 decoded:',
json.loads(enc.encode(test_input_2),
object_hook=hinted_tuple_hook,)
)
print('\n' * 3)
print('test_input_3 encoded:', enc.encode(test_input_3))
print('test_input_3 decoded:',
json.loads(enc.encode(test_input_3),
object_hook=hinted_tuple_hook,)
)
print('\n' * 3)
test_input_4 = {'a': 'b'}
print('test_input_4 encoded:', enc.encode(test_input_4))
print('test_input_4 decoded:',
json.loads(enc.encode(test_input_4),
object_hook=hinted_tuple_hook,)
)
#"""
Upvotes: 1
Reputation: 89
The principal difference between python lists and tuples is mutability, which is irrelevant to JSON representations, as long as you're not contemplating modifying the internal members of the JSON list while it's in text form. You can just turn the lists you get back into tuples. If you're not using any custom object decoders, the only structured datatypes you have to consider are JSON objects and arrays, which come out as python dicts and lists.
def tuplify(listything):
if isinstance(listything, list): return tuple(map(tuplify, listything))
if isinstance(listything, dict): return {k:tuplify(v) for k,v in listything.items()}
return listything
If you are specializing the decoding, or want some JSON arrays to be python lists and others to be python tuples, you'll need to wrap data items in a dict or tuple that annotates type information. This in itself is a better way to influence an algorithm's control flow than branching based on whether something is a list or tuple (or some other iterable type).
Upvotes: 6
Reputation: 62948
You can write a highly-specialzed encoder and a decoder hook:
import json
class MultiDimensionalArrayEncoder(json.JSONEncoder):
def encode(self, obj):
def hint_tuples(item):
if isinstance(item, tuple):
return {'__tuple__': True, 'items': item}
if isinstance(item, list):
return [hint_tuples(e) for e in item]
if isinstance(item, dict):
return {key: hint_tuples(value) for key, value in item.items()}
else:
return item
return super(MultiDimensionalArrayEncoder, self).encode(hint_tuples(obj))
def hinted_tuple_hook(obj):
if '__tuple__' in obj:
return tuple(obj['items'])
else:
return obj
enc = MultiDimensionalArrayEncoder()
jsonstring = enc.encode([1, 2, (3, 4), [5, 6, (7, 8)]])
print jsonstring
# [1, 2, {"items": [3, 4], "__tuple__": true}, [5, 6, {"items": [7, 8], "__tuple__": true}]]
print json.loads(jsonstring, object_hook=hinted_tuple_hook)
# [1, 2, (3, 4), [5, 6, (7, 8)]]
Upvotes: 47
Reputation: 3249
It is with simplejson
import simplejson
def _to_json(python_object) :
if isinstance(python_object, tuple) :
python_object = {'__class__': 'tuple',
'__value__': list(python_object)}
else :
raise TypeError(repr(python_object) + ' is not JSON serializable')
return python_object
def _from_json(json_object):
if json_object['__class__'] == 'tuple':
return tuple(json_object['__value__'])
return json_object
jsn = simplejson.dumps((1,2,3),
default=_to_json,
tuple_as_array=False)
tpl = simplejson.loads(jsn, object_hook=_from_json)
Upvotes: 4