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Custom datatypes (like datetime) serialization to/from JSON.

Project description

Serialization of Python types to JSON done right.

Examples

Let’s start with datetime.

>>> from jsonplus import json_loads, json_dumps, json_prettydump

>>> from datetime import datetime
>>> json_dumps({
...     "x": [4,3],
...     "t": datetime.now()
... })
'{"x":[4,3],"t":{"__class__":"datetime","__value__":"2013-09-06T23:38:55.819791"}}'

>>> json_loads(_)
{u'x': [4, 3], u't': datetime.datetime(2013, 9, 6, 23, 38, 55, 819791)}

Continue with other datetime.* types, like timedelta, date, and time.

>>> from datetime import timedelta, date, time
>>> print json_prettydump({"dt": timedelta(0, 1234567, 123), "d": date.today(), "t": datetime.now().time()})
{
    "d": {
        "__class__": "date",
        "__value__": "2013-09-22"
    },
    "dt": {
        "__class__": "timedelta",
        "__value__": {
            "days": 14,
            "microseconds": 123,
            "seconds": 24967
        }
    },
    "t": {
        "__class__": "time",
        "__value__": "23:33:16.335360"
    }
}

Also, set and complex:

>>> json_dumps([set(range(3)), 1+2j])
'[{"__class__":"set","__value__":[0,1,2]},{"__class__":"complex","__value__":{"real":1.0,"imag":2.0}}]'

>>> json_loads(_)
[set([0, 1, 2]), (1+2j)]

Alternatively, just treat it as a friendly drop-in replacement for json/simplejson.

>>> import jsonplus as json
>>> x = json.loads('{"a":1,"b":2}')
>>> y = json.dumps(x, indent=4)
>>> z = json.pretty(x)

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