yapic.json 1.8.10

Fastest JSON encode / decode library.

yapic.json is an extreamly fast json encoder / decoder package for python. Encoding and decoding output fully compatible with python.json package.

Features

• Extreamly fast (see benchmark results in ‘/benchmark’ directory)

• Fully compatible output with Python json package

• Builtin object serialization method __json__ (see below)

• Strict JSON (RFC 4627) expected: Infinity, NaN (JavaScript compatible infinity and not a number symbols)

• UTF-8 encoding & decoding support

• Accurate float encoding & decoding

• date / datetime / time encondig & decoding support (can encode subclasses)

• uuid.UUID encoding support

• ItemsView encoding support

  from collections.abc import ItemsView
  
  class MyDictGenerator(ItemsView):
     def __iter__(self):
        yield ("some_key", "some_value")
        yield ("meaning_of_life", 42)
  
  json.dumps(MyDictGenerator()) == '{"some_key":"some_value","meaning_of_life":42}'

Requirements

• Only works with Python 3.5 or greater

• c++ 11 comaptible compiler. (only if u want to build from source)

  Wheels provided for windows x86/x64 and linux x86/x64 and osx x64

• On Windows you maybe need to install Microsoft Visual C++ Redistributable

Windows

Usage

Very similar that python.json, let’s see some example

Json data to python

from yapic import json

>>> json.loads('"Hello World"')
"Hello World"

Python object to json data

from yapic import json

>>> json.dumps("Hello World")
'"Hello World"'

class Point:
   def __json__(self):
      return {"x":1, "y":2}

>>> json.dumps(Point())
'{"x":1,"y":2}'

Functions

• loads (s: bytes, str, *, object_hook: Callable[[dict], Any]]=None, parse_float: Callable[[str], Any]]=None, parse_date: bool=True)

  object_hook example:

  >>> from yapic import json
  >>> def hook(dict_):
  ...     if "__complex__" in dict_:
  ...         return complex(dict_["real"], dict_["imag"])
  ...
  >>> json.loads('{"__complex__":true, "real":1, "imag":2}',
  >>>     object_hook=hook)
  (1+2j)

  parse_float example:

  >>> from yapic import json
  >>> from decimal import Decimal
  >>> json.loads("1.2", parse_float=Decimal)
  Decimal('1.2')

• dumps (obj: Any, *, default: Callable[[Any], JSONT]=None, tojson: str="__json__", ensure_ascii: bool=True, encode_datetime: bool=True) -> str

  default example:

  >>> from yapic import json
  >>> def default_func(o):
  ...     if isinstance(o, complex):
  ...         return {"__complex__": True, "real": 1, "imag": 2}
  ...
  >>> json.dumps(1 + 2j, default=default_func)
  '{"__complex__":true,"real":1,"imag":2}'

  tojson example:

  >>> from yapic import json
  >>> class Point(object):
  ...     def __init__(self, x, y):
  ...         self.x = x
  ...         self.y = y
  ...     def __json__(self):
  ...         return {"x": self.x, "y": self.y}
  ...
  >>> json.dumps(Point(10, 20))
  '{"x":10,"y":20}'

• dumpb (obj: Any, *, default: Callable[[Any], JSONT]=None, tojson: str="__json__", ensure_ascii: bool=True, encode_datetime: bool=True) -> bytes

  Same as dumps, but this function is return bytes insted of str

Exceptions

import json as py_json

class JsonError(ValueError):
   """Base exception for all json errors"""

class JsonEncodeError(JsonError):
   """Exception for encoding errors"""

class JsonDecodeError(JsonError, py_json.JSONDecodeError):
   """Exception for decoding errors

   Can match python builtin ``json.JSONDecodeError``.
   """

# alias for easier switch from std json lib
JSONDecodeError = JsonDecodeError

Json to Python translations

Json	Python
“string”	str
42	int
4.2, 4e2	float (unless you specify parse_float)
Infinity	float(“inf”)
NaN	float(“NaN”)
true	True
false	False
null	None
2000-01-01 12:34:56	datetime without timezone
2000-01-01 12:34:56Z	datetime with utc timezone
2000-01-01 12:34:56+0300	datetime with custom timezone
2000-01-01	date
10:12:34	time without timezone
10:12:34+0300	time with custom timezone
{…}	dict (unless you specify object_hook)
[…]	list

Python to Json translations

Python	Json
str	“…”
int(42)	42
float(4.2), Decimal(4.2)	4.2
float(“inf”), Decimal(“inf”)	Infinity
float(“nan”), Decimal(“nan”)	NaN
True	true
False	false
None	null
datetime	“2000-01-01 12:34:56”, “2000-01-01T12:34:56+0300”
date	“2000-01-01”
time	“12:34:56”, “12:34:56+0300”
UUID	“aba04c17-6ea3-48c1-8dcd-74f0a9b79bee”
Enum	encoding Enum.value attribute
dict, ItemsView	{…}
list, tuple, set, iterable	[…]