Skip to main content

Traitlets Python configuration system

Project description

Traitlets

Tests Test downstream projects Documentation Status

home https://github.com/ipython/traitlets
pypi-repo https://pypi.org/project/traitlets/
docs https://traitlets.readthedocs.io/
license Modified BSD License

Traitlets is a pure Python library enabling:

  • the enforcement of strong typing for attributes of Python objects (typed attributes are called "traits");
  • dynamically calculated default values;
  • automatic validation and coercion of trait attributes when attempting a change;
  • registering for receiving notifications when trait values change;
  • reading configuring values from files or from command line arguments - a distinct layer on top of traitlets, so you may use traitlets without the configuration machinery.

Its implementation relies on the descriptor pattern, and it is a lightweight pure-python alternative of the traits library.

Traitlets powers the configuration system of IPython and Jupyter and the declarative API of IPython interactive widgets.

Installation

For a local installation, make sure you have pip installed and run:

pip install traitlets

For a development installation, clone this repository, change into the traitlets root directory, and run pip:

git clone https://github.com/ipython/traitlets.git
cd traitlets
pip install -e .

Running the tests

pip install "traitlets[test]"
py.test traitlets

Code Styling

traitlets has adopted automatic code formatting so you shouldn't need to worry too much about your code style. As long as your code is valid, the pre-commit hook should take care of how it should look.

To install pre-commit locally, run the following::

pip install pre-commit
pre-commit install

You can invoke the pre-commit hook by hand at any time with::

pre-commit run

which should run any autoformatting on your code and tell you about any errors it couldn't fix automatically. You may also install black integration into your text editor to format code automatically.

If you have already committed files before setting up the pre-commit hook with pre-commit install, you can fix everything up using pre-commit run --all-files. You need to make the fixing commit yourself after that.

Some of the hooks only run on CI by default, but you can invoke them by running with the --hook-stage manual argument.

Usage

Any class with trait attributes must inherit from HasTraits. For the list of available trait types and their properties, see the Trait Types section of the documentation.

Dynamic default values

To calculate a default value dynamically, decorate a method of your class with @default({traitname}). This method will be called on the instance, and should return the default value. In this example, the _username_default method is decorated with @default('username'):

import getpass
from traitlets import HasTraits, Unicode, default

class Identity(HasTraits):
    username = Unicode()

    @default('username')
    def _username_default(self):
        return getpass.getuser()

Callbacks when a trait attribute changes

When a trait changes, an application can follow this trait change with additional actions.

To do something when a trait attribute is changed, decorate a method with traitlets.observe(). The method will be called with a single argument, a dictionary which contains an owner, new value, old value, name of the changed trait, and the event type.

In this example, the _num_changed method is decorated with @observe(`num`):

from traitlets import HasTraits, Integer, observe

class TraitletsExample(HasTraits):
    num = Integer(5, help="a number").tag(config=True)

    @observe('num')
    def _num_changed(self, change):
        print("{name} changed from {old} to {new}".format(**change))

and is passed the following dictionary when called:

{
  'owner': object,  # The HasTraits instance
  'new': 6,         # The new value
  'old': 5,         # The old value
  'name': "foo",    # The name of the changed trait
  'type': 'change', # The event type of the notification, usually 'change'
}

Validation and coercion

Each trait type (Int, Unicode, Dict etc.) may have its own validation or coercion logic. In addition, we can register custom cross-validators that may depend on the state of other attributes. For example:

from traitlets import HasTraits, TraitError, Int, Bool, validate

class Parity(HasTraits):
    value = Int()
    parity = Int()

    @validate('value')
    def _valid_value(self, proposal):
        if proposal['value'] % 2 != self.parity:
            raise TraitError('value and parity should be consistent')
        return proposal['value']

    @validate('parity')
    def _valid_parity(self, proposal):
        parity = proposal['value']
        if parity not in [0, 1]:
            raise TraitError('parity should be 0 or 1')
        if self.value % 2 != parity:
            raise TraitError('value and parity should be consistent')
        return proposal['value']

parity_check = Parity(value=2)

# Changing required parity and value together while holding cross validation
with parity_check.hold_trait_notifications():
    parity_check.value = 1
    parity_check.parity = 1

However, we recommend that custom cross-validators don't modify the state of the HasTraits instance.

Release build:

Releases should be automatically build and pushed to Pypi when a tag is marked and pushed to GitHub.

$ pip install build
$ python -m build .

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

traitlets-5.2.0.tar.gz (97.4 kB view details)

Uploaded Source

Built Distribution

traitlets-5.2.0-py3-none-any.whl (104.4 kB view details)

Uploaded Python 3

File details

Details for the file traitlets-5.2.0.tar.gz.

File metadata

  • Download URL: traitlets-5.2.0.tar.gz
  • Upload date:
  • Size: 97.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for traitlets-5.2.0.tar.gz
Algorithm Hash digest
SHA256 60474f39bf1d39a11e0233090b99af3acee93bbc2281777e61dd8c87da8a0014
MD5 0338cc7f23f769f60f12f23e34465609
BLAKE2b-256 741224da62eebb4272e342a011cc04e88f7ed0bbe613ed863f9718402387d063

See more details on using hashes here.

File details

Details for the file traitlets-5.2.0-py3-none-any.whl.

File metadata

  • Download URL: traitlets-5.2.0-py3-none-any.whl
  • Upload date:
  • Size: 104.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for traitlets-5.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9dd4025123fbe018a2092b2ad6984792f53ea3362c698f37473258b1fa97b0bc
MD5 fb16bc8e027debe3a6521ce4c5b927c6
BLAKE2b-256 5b0c2333cf9500f9da9859c9aed316fb249f417ac609bd4fe2e81d8b031d88ea

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