Skip to main content

Easily serialize dataclasses to and from JSON

Project description

serious

PyPI Build Status Test Coverage Supported Python Documentation

A dataclass model toolkit: serialization, validation, and more.

Documentation

Features

  • Model definitions in pure Python.
  • Validation showing up in code coverage.
  • Type annotations for all public-facing APIs.
  • (Optionally) ensures immutability.
  • Easily extensible.
  • Made for people.
  • Documented rigorously.

Basics

Installation

Available from PyPI:

pip install serious

Quick Example

Central part of Serious API are different Models.

Given a regular dataclass:

from dataclasses import dataclass

@dataclass
class Person:
    name: str

Let’s create a JsonModel:

from serious.json import JsonModel
    
model = JsonModel(Person)

And use its dump/load methods:

person = Person('Albert Einstein')

model.dump(person) # {"name": "Albert Einstein"}

Validation

To add validation to the example above all we need is to add __validate__ method to person:

from dataclasses import dataclass
from typing import Optional
from serious import ValidationError, Email

@dataclass
class Person:
    name: str
    email: Optional[Email]
    phone: Optional[str]

    def __validate__(self):
        if len(self.name) == 0:
            raise ValidationError('Every person needs a name')
        if self.phone is None and self.email is None:
            raise ValidationError('At least some contact should be present')

More on validation.

Supported formats:

Supported field types

More in docs.

  • Other dataclasses
  • Primitives: str, int, float, bool
  • Dictionaries: only with string keys: Dict[str, Any]
  • Lists, sets, deques: python collections of any serializable type
  • Tuples both with and without ellipsis:
    • tuples as set of independent elements (e.g. Tuple[str, int, date])
    • with ellipses, acting as a frozen list (Tuple[str, ...])
  • Enumerations by value:
    • of primitives (e.g. OperatingSystem(Enum))
    • typed enums (Color(str, Enum) and FilePermission(IntFlag))
  • Decimal: encoded to JSON as string
  • Datetime, date and time: encoded to the ISO 8601 formatted string
  • UUID
  • serious.types.Timestamp: a UTC timestamp since UNIX epoch as float ms value
  • serious.types.Email: a string Tiny Type that supports validation and contains additional properties
  • custom immutable alternatives to native python types in serious.types: FrozenList, FrozenDict

A bigger example

from dataclasses import dataclass
from serious import JsonModel, ValidationError
from typing import List
from enum import Enum

class Specialty(Enum):
    Worker = 1
    Fool = 2


@dataclass(frozen=True)
class Minion:
    name: str
    type: Specialty


@dataclass(frozen=True)
class Boss:
    name: str
    minions: List[Minion]
    
    def __validate__(self):
        if len(self.minions) < 2:
            raise ValidationError('What kind of boss are you?')


boss = Boss("me", [Minion('evil minion', Specialty.Fool), Minion('very evil minion', Specialty.Worker)])
boss_json = """{
    "name": "me",
    "minions": [
        {
            "name": "evil minion",
            "type": "Fool"
        },
        {
            "name": "very evil minion",
            "type": "Worker"
        }
    ]
}"""

model = JsonModel(Boss, indent=4)

assert model.dump(boss) == boss_json
assert model.load(boss_json) == boss

Acknowledgements

Initially, a fork of @lidatong/dataclasses-json.

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

serious-1.3.2.tar.gz (26.3 kB view details)

Uploaded Source

Built Distribution

serious-1.3.2-py3-none-any.whl (31.9 kB view details)

Uploaded Python 3

File details

Details for the file serious-1.3.2.tar.gz.

File metadata

  • Download URL: serious-1.3.2.tar.gz
  • Upload date:
  • Size: 26.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.14

File hashes

Hashes for serious-1.3.2.tar.gz
Algorithm Hash digest
SHA256 93fd2f48751cd229551e13210c7154a603062736301d5470f8d63b61df77fcab
MD5 9a020e7839364f0c0b8a90b818f6b894
BLAKE2b-256 f8b214c26337fffaf12f0bedc081342b7cdd62746cd32fd2f5e68758dd36fd61

See more details on using hashes here.

File details

Details for the file serious-1.3.2-py3-none-any.whl.

File metadata

  • Download URL: serious-1.3.2-py3-none-any.whl
  • Upload date:
  • Size: 31.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.14

File hashes

Hashes for serious-1.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 078dd06500703a170879c4afb4ea2af6b206d6dd5b8d590add9520ab00e73551
MD5 75c8e736bae76e628db715fb48b66268
BLAKE2b-256 9b5baaea0d95f77a23a92943a503b52154d4630773d950d75435a567c3875e4b

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