dataclasses-json | Easily serialize Data Classes to and from JSON | JSON Processing library

by lidatong Python Version: 0.6.7 License: MIT

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | dataclasses-json Summary

dataclasses-json is a Python library typically used in Utilities, JSON Processing applications. dataclasses-json has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install dataclasses-json' or download it from GitHub, PyPI.

This library provides a simple API for encoding and decoding dataclasses to and from JSON. It's very easy to get started.

Support

Quality

Security

License

Reuse

Support

dataclasses-json has a medium active ecosystem.

It has 1136 star(s) with 126 fork(s). There are 9 watchers for this library.

There were 4 major release(s) in the last 12 months.

There are 129 open issues and 131 have been closed. On average issues are closed in 130 days. There are 35 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dataclasses-json is 0.6.7

Quality

dataclasses-json has 0 bugs and 0 code smells.

Security

dataclasses-json has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

dataclasses-json code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dataclasses-json is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

dataclasses-json releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

dataclasses-json saves you 1188 person hours of effort in developing the same functionality from scratch.

It has 2692 lines of code, 273 functions and 31 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed dataclasses-json and discovered the below as its top functions. This is intended to give you an instant insight into dataclasses-json implemented functionality, and help decide if they suit your requirements.

Handle catchall arguments
Return the default value for the catchall field
Returns the catchall field
Separate defined parameters
Create a schema definition for the data class
Decode a dataclass
Build a JSON Schema
Decode a generic value
Serialize the value
Deserialize the value
Convert to JSON
Convert string to snake case
Converts string to snake case
Uluen a string
Convert string to pascal case
Convert string to CamelCase
Converts string to upper case
Handle catchall
Handles initialization arguments
Given a dictionary of parameters return a list of known values
Return the value of the catchall field

Get all kandi verified functions for this library.

dataclasses-json Key Features

No Key Features are available at this moment for dataclasses-json.

dataclasses-json Examples and Code Snippets

No Code Snippets are available at this moment for dataclasses-json.

Community Discussions

Trending Discussions on dataclasses-json

Dataflow fails due to ERROR: Could not find a version that satisfies the requirement wheel (from versions: none)

Create decorator for class to apply dataclass and JsonSchemaMixin ...not working

How to decode json with reserved name as key using json_dataclass?

Why can't I override `to_dict` method of a `dataclass` object that uses `dataclasses_json`?

QUESTION

Dataflow fails due to ERROR: Could not find a version that satisfies the requirement wheel (from versions: none)

Asked 2021-Apr-29 at 20:23

Since the beginning of this year our python dataflow jobs result in an error on worker startup:

...

ANSWER

Answered 2021-Apr-29 at 20:23

The issue was due a conflict in the dataclasses-json (The exact reason I couldn't find out). After removing it from the requirements.txt the image can successfully be buildt:

Source https://stackoverflow.com/questions/65588519

QUESTION

Create decorator for class to apply dataclass and JsonSchemaMixin ...not working

Asked 2020-Sep-29 at 20:55

I did review all the existing SO questions, googled around as best I could, tried a few different options, but can't seem to get what I want working.

Background

Simple problem - I've got a bunch of dataclasses in my code.

I'd like to have them all changed to inherit from the dataclasses-jsonschema JsonSchemaMixin so that I can programmatically generate a schema for them all.

Of course the simple approach is I could change all instances in the code everywhere to inherit from the JsonSchemaMixin mixin.

But I was thinking I could also write my own decorator that would a) apply @dataclass, and b) mixin dataclasses-schema in one go. ...my thinking being less chance of errors, and I could try writing a class decorator (I've only ever created and used my own function decorators)

...

ANSWER

Answered 2020-Sep-29 at 20:55

A possible solution is to use a metaclass. See this example:

Source https://stackoverflow.com/questions/64096038

QUESTION

How to decode json with reserved name as key using json_dataclass?

Asked 2020-Apr-28 at 16:09

I am trying to decode a json I received from an api using dataclass_json from the dataclasses_json module, however one of the json fields is called class which is a python reserved keyword. How can I define them?

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ANSWER

Answered 2020-Apr-28 at 02:16

Specify the original field name as a field_name and name your class property differently:

Source https://stackoverflow.com/questions/61471136

QUESTION

Why can't I override `to_dict` method of a `dataclass` object that uses `dataclasses_json`?

Asked 2020-Jan-24 at 07:34

dataclasses_json is a library that provides JSON capabilities to python's data classes. I noticed that overriding to_dict method has no effect. Here's an example:

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ANSWER

Answered 2020-Jan-24 at 07:34

Because dataclass_json simply overrides your to_dict method here:

Source https://stackoverflow.com/questions/59882545

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install dataclasses-json

You can install using 'pip install dataclasses-json' or download it from GitHub, PyPI.
You can use dataclasses-json like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

It's recursive (see caveats below), so you can easily work with nested dataclasses. In addition to the supported types in the py to JSON table, this library supports the following:.

Find more information at: