Declarative configuration settings for Python.
Project description
declare_config
This Python module allows a declarative syntax for defining the contents of a configuration file. It also enables easy support for features such as default configuration values, nested configuration settings (and nested defaults), and various other useful automatic sugars.
Example:
from pathlib import Path
from declare_config import Configuration,
Setting, \
configuration_source, \
enable_nested_settings
@configuration_provider("$MYAPP_CONFIG")
@configuration_provider("./myapp.yaml")
@configuration_provider("~/init/myapp.yaml")
@configuration_provider("~/.myapp.yaml")
@enable_nested_settings
@enable_expanduser
class MyAppSettings(declare_config.Configuration):
'''Settings for myapp.'''
homepage = Setting('urls.root')
api_root = Setting('urls.api_root', '${homepage}/api')
timeout_ms = Setting('timeout_ms', 5000, int)
log_file = Setting("log_location", ~/logs/myapp.log", Path)
settings = MyAppSettings.load()
The above code defines a configuration file for a sample application. It
defines four locations that will be searched for the configuration file when
MyAppSettings.load()
is called: first it will check the value of
the environment variable $MYAPP_CONFIG
for a file location, and then if no
such environment variable is defined it will check the other three file
locations in order for a configuration file. Whenever it finds a valid file
location, it will load the settings from that file.
Because of the @enable_nested_settings
decorator, settings are allowed to
reference one another (and default definitions are allowed to reference other
settings as well) through the ${setting_name}
syntax. All settings have type
information,and the @enable_expanduser
decorator ensures that for any
setting declared to be a filesystem path, the ~/
directory will be expanded
to the user's home directory.
Currently only yaml configuration files are supported, though there are plans to add support for JSON and INI syntaxes.
Development
Dependencies are managed with pipenv
. To install dependencies for
development, run pipenv install --dev
from the project root.
To run tests once with coverage, use pipenv run pytest
from the project
root. To run tests continuously during development, run pipenv run ptw
instead.
To upload to PyPi, update setup.py with the version and any new dependencies
and run pipenv run python setup.py upload
.
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