Python human readable object serialization [closed]

Answer 1

There is AXON (textual) format that combine the best of JSON, XML and YAML. AXON format is quite readable and relatively compact.

The python (2.7/3.3-3.7) module pyaxon supports load(s)/dump(s) functionality, including iterative loading/dumping. It's sufficiently fast in order to be useful.

Consider simple example:

>>> d = {
     'age': 27, 'name': 'Joe', 
     'numbers': [1, 2, 3, 4, 5], 
     'subdict': {'first': 1, 'second': 2, 'third': 3}
    }
# pretty form
>>> axon.dumps(d, pretty=1)
{ age: 27
  name: "Joe"
  numbers: [1 2 3 4 5]
  subdict: {
    first: 1
    second: 2
    third: 3}}
# compact form
>>> axon.dumps(d)
{age:27 name:"Joe" numbers:[1 2 3 4 5] subdict:{first:1 second:2 third:3}}

It also can handle multiple objects in the message:

>>> msg = axon.dumps([{'a':1, 'b':2, 'c':3}, {'a':2, 'b':3, 'c':4}])
>>> print(msg)
{a:1 b:2 c:3} 
{a:2 b:3 c:4}
{a:3 b:4 c:5}

and then load them iteratively:

for d in axon.iloads(msg):
   print(d)