Decoder class

class rapidjson.Decoder(number_mode=None, datetime_mode=None, uuid_mode=None, parse_mode=None)

Class-based loads()-like functionality.

Parameters

Attributes

datetime_mode
Type

int

The datetime mode, whether and how datetime literals will be recognized.

number_mode
Type

int

The number mode, whether numeric literals will be decoded.

parse_mode
Type

int

The parse mode, whether comments and trailing commas are allowed.

uuid_mode
Type

int

The UUID mode, whether and how UUID literals will be recognized.

Methods

__call__(json, *, chunk_size=65536)
Parameters

  • json – either a str instance, an UTF-8 bytes instance or a file-like stream, containing the JSON to be decoded

  • chunk_size (int) – in case of a stream, it will be read in chunks of this size

Returns

a Python value

>>> decoder = Decoder()
>>> decoder('"€ 0.50"')
'€ 0.50'
>>> decoder(io.StringIO('"€ 0.50"'))
'€ 0.50'
>>> decoder(io.BytesIO(b'"\xe2\x82\xac 0.50"'))
'€ 0.50'
>>> decoder(b'"\xe2\x82\xac 0.50"')
'€ 0.50'
end_array(sequence)
Parameters

sequence – an instance implement the mutable sequence protocol

Returns

a new value

This is called, if implemented, when a JSON array has been completely parsed, and can be used replace it with an arbitrary different value:

>>> class TupleDecoder(Decoder):
...   def end_array(self, a):
...     return tuple(a)
...
>>> td = TupleDecoder()
>>> res = td('[{"one": [1]}, {"two":[2,3]}]')
>>> isinstance(res, tuple)
True
>>> res[0]
{'one': (1,)}
>>> res[1]
{'two': (2, 3)}
end_object(mapping)
Parameters

mapping – an instance representing the JSON object, either one implementing the mapping protocol or a list containing (key, value) tuples

Returns

a new value

This is called, if implemented, when a JSON object has been completely parsed, and can be used to replace it with an arbitrary different value, like what can be done with the object_hook argument of the loads() function:

>>> class Point(object):
...   def __init__(self, x, y):
...     self.x = x
...     self.y = y
...   def __repr__(self):
...     return 'Point(%s, %s)' % (self.x, self.y)
...
>>> class PointDecoder(Decoder):
...   def end_object(self, d):
...     if 'x' in d and 'y' in d:
...       return Point(d['x'], d['y'])
...     else:
...       return d
...
>>> pd = PointDecoder()
>>> pd('{"x":1,"y":2}')
Point(1, 2)

When start_object() returns a list instance, then the mapping argument is actually a list of tuples.

start_object()
Returns

either a list or mapping instance

This method, when implemented, is called whenever a new JSON object is found: it must return either a list or an instance implementing the mapping protocol.

It can be used to select a different implementation than the standard dict used by default:

>>> from collections import OrderedDict
>>> class OrderedDecoder(Decoder):
...   def start_object(self):
...     return OrderedDict()
...
>>> od = OrderedDecoder()
>>> type(od('{"foo": "bar"}'))
<class 'collections.OrderedDict'>

By returning a list you obtain a different handling of JSON objects: instead of translating them into Python maps as soon as they are found, their key-value tuples are accumulated in the given list; when the JSON object has been completely parsed, then the sequence is passed to the method end_object(), if implemented, that will reasonably transmogrify it into some kind of dictionary. When that method is missing, then the list is kept as is, thus representing all objects in the JSON origin as lists of key-value tuples in Python:

>>> class KVPairsDecoder(Decoder):
...   def start_object(self):
...     return []
...
>>> kvpd = KVPairsDecoder()
>>> kvpd('{"one": 1, "two": 2}')
[('one', 1), ('two', 2)]
string(s)
Parameters

s – a str instance

Returns

a new value

This method, when implemented, is called whenever a JSON string has been completely parsed, and can be used to replace it with an arbitrary different value:

>>> class SwapStringCase(Decoder):
...   def string(self, s):
...     return s.swapcase()
...
>>> ssc = SwapStringCase()
>>> ssc('"Hello World!"')
'hELLO wORLD!'

Note that it is called after the recognition of dates and UUIDs, when datetime_mode and/or uuid_mode are specified:

>>> class DDMMYYYY(Decoder):
...   def string(self, s):
...     if len(s) == 8 and s.isdigit():
...       dd = int(s[:2])
...       mm = int(s[2:4])
...       yyyy = int(s[-4:])
...       return (yyyy, mm, dd)
...     return s
...
>>> ddmmyyyy = DDMMYYYY(datetime_mode=DM_ISO8601)
>>> ddmmyyyy('["2017-08-21", "21082017"]')
[datetime.date(2017, 8, 21), (2017, 8, 21)]