Skip to main content

MetaDict is a powerful dict subclass enabling (nested) attribute-style item access/assignment and IDE autocompletion support.

Project description

MetaDict

Enabling dot notation and IDE autocompletion

InstallationFeaturesDocumentationCompetitorsCitation

Python Version PyPI version CircleCI codecov License


MetaDict is designed to behave exactly like a dict while enabling (nested) attribute-style key access/assignment with IDE autocompletion support.

Many libraries claim to do the same, but fail in different ways (see Competitors).

Installation

$ pip install metadict

Features

  • Attribute-style key access and assignment (dot notation) with IDE autocompletion support
    from metadict import MetaDict
    
    cfg = MetaDict()
    cfg.optimizer = 'Adam'
    print(cfg.optimizer)
    >> Adam
    
    autocompletion demo
  • Nested key assignment similar to defaultdict from collections
    cfg = MetaDict(nested_assignment=True)
    cfg.model.type = 'Transformer' 
    print(cfg.model.type)
    >> Transformer
    
    # or restrict nested assignment via context manager
    cfg = MetaDict()
    with cfg.enabling_nested_assignment() as cfg:
        cfg.model.type = 'Transformer'
    cfg.new_model.type = 'MLP'
    >> AttributeError: 'MetaDict' object has no attribute 'new_model'
    
  • Is a dict
    dict_config = {'model': 'Transformer',
                   'optimizer': 'Adam'}    
    cfg = MetaDict(dict_config)
    print(isinstance(cfg, dict))
    >> True
    print(cfg == dict_config)
    >> True
    
  • Inbuilt json support
    import json
    
    cfg = MetaDict({'model': 'Transformer'})
    print(json.loads(json.dumps(cfg)))
    >> {'model': 'Transformer'}
    
  • Recursive conversion to dict
    cfg = MetaDict({'models': [{'name': 'Transformer'}, {'name': 'MLP'}]})
    print(cfg.models[0].name)
    >> Transformer
    
    cfg_dict = cfg.to_dict()
    print(type(cfg_dict['models'][0]['name']))
    >> dict
    
  • No namespace conflicts with inbuilt methods like items(), update(), etc.
    cfg = MetaDict()
    # Key 'items' is assigned as in a normal dict, but a UserWarning is raised
    cfg.items = [1, 2, 3]
    >> UserWarning: 'MetaDict' object uses 'items' internally. 'items' can only be accessed via `obj['items']`.
    print(cfg)
    >> {'items': [1, 2, 3]}
    print(cfg['items'])
    >> [1, 2, 3]
    
    # But the items method is not overwritten!
    print(cfg.items)
    >> <bound method Mapping.items of {'items': [1, 2, 3]}>
    print(list(cfg.items()))
    >> [('items', [1, 2, 3])]
    
  • References are preserved
    params = [1, 2, 3]    
    cfg = MetaDict({'params': params})
    print(cfg.params is params)
    >> True
    
    model_dict = {'params': params}
    cfg = MetaDict(model=model_dict)
    print(cfg.model.params is params)
    >> True
    
    # Note: dicts are recursively converted to MetaDicts, thus...
    print(cfg.model is model_dict)
    >> False
    print(cfg.model == model_dict)
    >> True
    

Documentation

Check the Test Cases for a complete overview of all MetaDict features.

Competitors

  • Addict
    • No key autocompletion in IDE
    • Nested key assignment cannot be turned off
    • Newly assigned dict objects are not converted to support attribute-style key access
    • Shadows inbuilt type Dict
  • Prodict
    • No key autocompletion in IDE without defining a static schema (similar to dataclass)
    • No recursive conversion of dict objects when embedded in list or other inbuilt iterables
  • AttrDict
    • No key autocompletion in IDE
    • Converts list objects to tuple behind the scenes
  • Munch
    • Inbuilt methods like items(), update(), etc. can be overwritten with obj.items = [1, 2, 3]
    • No recursive conversion of dict objects when embedded in list or other inbuilt iterables
  • EasyDict
    • Only strings are valid keys, but dict accepts all hashable objects as keys
    • Inbuilt methods like items(), update(), etc. can be overwritten with obj.items = [1, 2, 3]
    • Inbuilt methods don't behave as expected: obj.pop('unknown_key', None) raises an AttributeError

Citation

@article{metadict,
  title = {MetaDict - Enabling dot notation and IDE autocompletion},
  author = {Hillebrand, Lars},
  year = {2022},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/LarsHill/metadict}},
}

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

metadict-0.1.2.tar.gz (6.9 kB view details)

Uploaded Source

Built Distribution

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

metadict-0.1.2-py3-none-any.whl (11.1 kB view details)

Uploaded Python 3

File details

Details for the file metadict-0.1.2.tar.gz.

File metadata

  • Download URL: metadict-0.1.2.tar.gz
  • Upload date:
  • Size: 6.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.12

File hashes

Hashes for metadict-0.1.2.tar.gz
Algorithm Hash digest
SHA256 b4064ab0e15828ae408c1a104c25242b1f5320ad86f93543900c705b0142a1b8
MD5 99e5962b372526180e90e091d15eb309
BLAKE2b-256 c29936e3d61218b3fb7ebcf44d096047dd6fe8f8a631614ec95c75efa8f0f2b0

See more details on using hashes here.

File details

Details for the file metadict-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: metadict-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 11.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.12

File hashes

Hashes for metadict-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 04f03a189b504a3353bbc6bec848219f146bfbaa7ccf5c3d74998cfbf3b6dc94
MD5 33bb09d055a2a453742694e54b8f89bd
BLAKE2b-256 9cf247bb6edbe92f5cf44e4b5db34194bac6b1bf6eef4be31c36a51083f72f2b

See more details on using hashes here.

Supported by

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