Skip to main content
https://img.shields.io/pypi/v/dotwiz.svg https://img.shields.io/pypi/pyversions/dotwiz.svg https://codecov.io/gh/rnag/dotwiz/branch/main/graph/badge.svg?token=J3YW230U8Z https://github.com/rnag/dotwiz/actions/workflows/dev.yml/badge.svg Updates

A blazing fast dict subclass that enables dot access notation via Python attribute style. Nested dict and list values are automatically transformed as well.


Assume you have a simple dict object, with dynamic keys:

>>> my_dict = {'this': {'dict': {'has': [{'nested': {'data': True}}]}}}

If the goal is to access a nested value, you could do it like this:

>>> my_dict['this']['dict']['has'][0]['nested']['data']
True

Or, using DotWiz:

>>> from dotwiz import DotWiz
>>> dw = DotWiz(my_dict)
>>> dw.this.dict.has[0].nested.data
True

Note: This library can also make inaccessible keys safe – check out an example with DotWizPlus.

Install

$ pip install dotwiz

Usage

DotWiz

Here is an example of how to create and use a DotWiz object:

from dotwiz import DotWiz

dw = DotWiz({'this': {'works': {'for': [{'nested': {'values': True}}]}}},
            the_answer_to_life=42)

print(dw)
# >  ✫(this=✫(works=✫(for=[✫(nested=✫(values=True))])),
#      the_answer_to_life=42)

assert dw.this.works['for'][0].nested.values  # True
assert dw.the_answer_to_life == 42

print(dw.to_dict())
# >  {'this': {'works': {'for': [{'nested': {'values': True}}]}},
#     'the_answer_to_life': 42}

Using make_dot_wiz allows you to pass in an iterable object when creating a DotWiz object:

from dotwiz import make_dot_wiz

dw = make_dot_wiz([('hello, world!', 123), ('easy: as~ pie?', True)],
                  AnyKey='value')

print(dw)
#> ✫(AnyKey='value', hello, world!=123, easy: as~ pie?=True)

assert dw['hello, world!'] == 123
assert dw['easy: as~ pie?']
assert dw.AnyKey == 'value'

DotWizPlus

DotWiz+ enables you to turn special-cased keys, such as names with spaces, into valid snake_case words in Python, as shown below. Also see the note on Issues with Invalid Characters below.

from dotwiz import DotWizPlus

my_dict = {'THIS': {'1': {'is': [{'For': {'AllOf': {'My !@ Fans!': True}}}]}}}
dw = DotWizPlus(my_dict)

print(dw)
#> ✪(this=✪(_1=✪(is_=[✪(for_=✪(all_of=✪(my_fans=True)))])))

# True
assert dw.this._1.is_[0].for_.all_of.my_fans

# alternatively, you can access it like a dict with the original keys:
assert dw['THIS']['1']['is'][0]['For']['AllOf']['My !@ Fans!']

print(dw.to_dict())
# {'THIS': {'1': {'is': [{'For': {'AllOf': {'My !@ Fans!': True}}}]}}}

print(dw.to_attr_dict())
# {'this': {'_1': {'is_': [{'for_': {'all_of': {'my_fans': True}}}]}}}

Issues with Invalid Characters

A key name in the scope of the DotWizPlus implementation must be:

  • a valid, lower- and snake- cased identifier in python.

  • not a reserved keyword, such as for or class.

  • not override dict method declarations, such as items, get, or values.

In the case where your key name does not conform, the library will mutate your key to a safe, snake-cased format.

Spaces and invalid characters are replaced with _. In the case of a key beginning with an int, a leading _ is added. In the case of a keyword or a dict method name, a trailing _ is added. Keys that appear in different cases, such as myKey or My-Key, will all be converted to a snake case variant, my_key in this example.

Finally, check out this example which brings home all that was discussed above.

Features

  • TODO

Benchmarks

Check out the Benchmarks section in the docs for more info.

Using a dot-access approach such as DotWiz can be up to 100x faster than with make_dataclass from the dataclasses module.

It’s also about 5x faster to create a DotWiz from a dict object as compared to other libraries such as prodict – or close to 15x faster than creating a Box – and up to 10x faster in general to access keys by dot notation – or almost 30x faster than accessing keys from a DotMap.

Contributing

Contributions are welcome! Open a pull request to fix a bug, or open an issue to discuss a new feature or change.

Check out the Contributing section in the docs for more info.

Credits

This package was created with Cookiecutter and the rnag/cookiecutter-pypackage project template.

Download files

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

Source Distribution

dotwiz-0.4.0.tar.gz (25.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dotwiz-0.4.0-py2.py3-none-any.whl (13.8 kB view details)

Uploaded Python 2Python 3

File details

Details for the file dotwiz-0.4.0.tar.gz.

File metadata

  • Download URL: dotwiz-0.4.0.tar.gz
  • Upload date:
  • Size: 25.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for dotwiz-0.4.0.tar.gz
Algorithm Hash digest
SHA256 45c24633674f05c506fbacab44b3d50e9392d89a18fd65a4150f634d14b1c36f
MD5 abdd72f082636c351104fead830f7738
BLAKE2b-256 64eeba4368ffdc4a9421ea8f3b3f1a7b4d2ef104de0d8dd08ce38306a07b0654

See more details on using hashes here.

File details

Details for the file dotwiz-0.4.0-py2.py3-none-any.whl.

File metadata

  • Download URL: dotwiz-0.4.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 13.8 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for dotwiz-0.4.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 8d6598dc2a217ac171f6d5eded060061de8ff2122df62d7b705787df295e021d
MD5 8acc7161054a714186989201a8803a58
BLAKE2b-256 fa3f016d9038b61e1fad1927f0e6473ba292fd4bbd6e34aa9464b2afa6e24220

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

0.4.0 This release

2 files

0.3.1

2 files

0.3.0

2 files

0.2.0

2 files

0.1.0

2 files

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page