Skip to main content

json serialize library for Python 2 and 3

Project description

py-json-serialize

Serialize in JSON format

Features:

  • Simple api: @json_serialize, to_json(), from_json();
  • Version support: version-based data migration;

Install

pip install py-json-serialize

Test

in the project's root folder, run pytest:

pytest

Dependencies

None

API

  • class decortator @json_serialize

    • format 1: no parameter
     from py_json_serialize import json_serialize
    
     @json_serialize
     class A(object):pass
    
    • format 2: with parameter

    @json_serialize(clsid = "", [version=0*|n])

    1. clsid: the unique string to identify the class. the class-id will be the name of decorated if not specified.
    2. version: optional parameter to specify the version of serialized data format. the default value is 0 if not specified.
     from py_json_serialize import json_serialize
    
     # old version
     @json_serialize("app-config", version=1)
     class AppConfigV1(object):
         servers = []
    
     # new version
     @json_serialize("app-config", version=2)
     class AppConfigV2(AppConfigV1):
         timeout = 600
    
  • to_json()/from_json()

    The decorated class will have two new functions:

    1. to_json(): convert class instance to json string

      @json_serialize
      class Hello(object):
          def __init__(self, who = "World"):
              self.who = who
      
      a = Hello()
      print(a.to_json())
      

      outputs:

      {
          "_clsid_": "Hello",
          "who": "World"
      }
      
    2. from_json(): reads json string to return an class object.

      It is actually a staticmethod that can be called to return an object of any type deduced from the class-id in the data string. so don't be surprised that you might get an object of different type if the input json data string is serialized from another class.

      So the from_json() is simply a handy helper method to make your code more readable if your app only handles one type of data.

  • function json_decode(jstr: str)-> object: convert json string to python object

    This is a function to decode the serialized json string, its typical usage is as following:

    class Task(object):pass
        @staticmethod
        def from_json(jstr):
            return json_decode(jstr)
    
    @json_serialize
    class CopyFile(Task):pass
    
    @json_serialize
    class UploadFile(Task):pass
    
    task1 = Task.from_json("{ '_clsid_':'CopyFile' }")
    assert isinstance(task1, CopyFile)
    
    task2 = Task.from_json("{ '_clsid_':'UploadFile' }")
    assert isinstance(task2, UploadFile)
    
  • function json_encode : convert python object to json string

    def json_encode(obj, pretty = True, encode_all_fields = False)
    

    When pretty is True, the fields are sorted by their name and the json string is intented properly for human reading, otherwise the json string can save some storage space and more efficient for machine processing.

    If encode_all_fields is true, then all class fields are serialized, otherwise the internal fields (field name starts with '_') are ignored.

Example

Limitation

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

py-json-serialize-0.8.0.tar.gz (5.0 kB view details)

Uploaded Source

File details

Details for the file py-json-serialize-0.8.0.tar.gz.

File metadata

  • Download URL: py-json-serialize-0.8.0.tar.gz
  • Upload date:
  • Size: 5.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for py-json-serialize-0.8.0.tar.gz
Algorithm Hash digest
SHA256 da5b5a055d17748ec3706fe7f09827e144a10afa23799479d122b5e44b8b9dce
MD5 db04b0df165a64624edf774ef486dbe5
BLAKE2b-256 dcc3d9a3f777ae2b208bbd9baa170e60a087aa29b4604d98e669c632c7479507

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page