configyaml 0.4.1

A config loading and parsing package

Usage

The basic usage pattern is to extend these classes to create your own.

You need a loader:

from configyaml import loader

from .config.root import Root

class SibbellConfigLoader(loader.ConfigLoader):
    config_root_class = Root

Then design your config using additional classes. You need at least 1 to serve as the root class:

from configyaml.config import DictNode
from .dependencies import Dependencies
from .notifications import Notifications


class Root(DictNode):
    """Root of the yaml file"""

    def __init__(self, *args, **kwargs):
        self._dict_fields = {
                    'dependencies': {
                        'class': Dependencies,
                        'required': True,
                        'default': [],
                    },
                    'notifications': {
                        'class': Notifications,
                        'required': True,  # no point right now if no notifications
                        'default': [],
                    }
                }
        super(Root, self).__init__(*args, **kwargs)

    def _context_to_inject(self):
        """Make dependencies list available to notifcations"""
        return {'dependencies': self.dependencies}

Then to use it, simply create a loader using the configuration text content:

loader = SibbellConfigLoader(yaml_text)
# can now access the configuration and any other properties/method added to their classes
loader.is_valid()
loader.errors
loader.config_root.dependencies

History

0.4.1 (2018-01-31)

• Give DictNode default instance access to parent and context

• Update README badges

0.4.0 (2017-06-07)

• Add RegexNode

• DictNode fields know what their dict key was

0.3.0 (2017-05-31)

• Add TypelessNode

• Add BoolNode

• Use yaml.safe_load

• Allow DictNode field to have a default value of None

0.2.0 (2017-04-05)

• Cleanup package release tooling and documentation

• Fix a bit of broken documentation

• Start some basic Sphinx documentation for classes

0.1.0 (2017-03-30)

• First release on PyPI.