Skip to main content

🗂 Take the edge off `dataclass` 🗂

Project description

dataclasses is almost perfect.

datacls is a tiny, thin wrapper around dataclass.dataclasses making it a bit more self-contained, reflective, and saving a bit of typing.

datacls is exactly like dataclass, except:

  • Adds three new instance methods: asdict(), astuple(), replace(), and one new class method, fields(), all taken from the dataclasses module

  • xmod-ed for less cruft (so datacls is the same as datacls.dataclass)

  • The default class is datacls.immutable where frozen=True.

Example

import datacls

@datacls
class One:
    one: str = 'one'
    two: int = 2
    three: dict = datacls.field(dict)

# `One` has three instance methods: asdict(), astuple(), replace()

o = One()
assert o.asdict() == {'one': 'one', 'two': 2, 'three': {}}

import dataclasses
assert dataclasses.asdict(o) == o.asdict()

assert o.astuple() == ('one', 2, {})

o2 = o.replace(one='seven', three={'nine': 9})
assert o2 == One('seven', 2, {'nine': 9})

# `One` has one new class method: fields()

assert [f.name for f in One.fields()] == ['one', 'two', 'three']

# @datacls is immutable.

try:
    o.one = 'three'
except AttributeError:
    pass
else:
    raise AttributeError('Was mutable!')

# Usec @datacls.mutable or @datacls(frozen=False)
# for mutable classes

@datacls.mutable
class OneMutable:
    one: str = 'one'
    two: int = 2
    three: Dict = datacls.field(dict)

om = OneMutable()
om.one = 'three'
assert str(om) == "OneMutable(one='three', two=2, three={})"

# These four new methods won't break your old dataclass by mistake:
@datacls
class Overloads:
    one: str = 'one'
    asdict: int = 1
    astuple: int = 1
    fields: int = 1
    replace: int = 1

o = Overloads()

assert ov.one == 'one'
assert ov.asdict == 1
assert ov.astuple == 1
assert ov.fields == 1
assert ov.replace == 1

# You can still access the methods as functions on `datacls`:
assert (
    datacls.asdict(ov) ==
    {'asdict': 1, 'astuple': 1, 'fields': 1, 'one': 'one', 'replace': 1}
)

API Documentation

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

datacls-4.6.0.tar.gz (4.3 kB view details)

Uploaded Source

Built Distribution

datacls-4.6.0-py3-none-any.whl (4.8 kB view details)

Uploaded Python 3

File details

Details for the file datacls-4.6.0.tar.gz.

File metadata

  • Download URL: datacls-4.6.0.tar.gz
  • Upload date:
  • Size: 4.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.3.1 CPython/3.10.9 Darwin/21.6.0

File hashes

Hashes for datacls-4.6.0.tar.gz
Algorithm Hash digest
SHA256 7ba09b48dedee7d65ce1302927ff966bab35cd6bae7226484ffd0fa089bd7b3a
MD5 89ebd698efaec57542bc2c7e8b52a482
BLAKE2b-256 d9fcb5c87938807b6b45686c71d07b617d356ff8cd44cc7fa1e409fdebe61660

See more details on using hashes here.

File details

Details for the file datacls-4.6.0-py3-none-any.whl.

File metadata

  • Download URL: datacls-4.6.0-py3-none-any.whl
  • Upload date:
  • Size: 4.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.3.1 CPython/3.10.9 Darwin/21.6.0

File hashes

Hashes for datacls-4.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ed681b63bda336a53e8113859534183067d0cf21964c4a9455ae70b6054823c0
MD5 b0bd046ad2c20cbf99264aae5c1cbea4
BLAKE2b-256 be420fbd5d2443fd551afa703d000fb6faed6b7c9e37f954062a5b702f13bffb

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