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Python configuration library that provides pleasant configuration definition and access interface, and it reads unrestricted python configuration file.

Project description

confect is a Python configuration library.

It provides a pleasant configuration definition and access interface, and it reads unrestricted python configuration file.

Basic Usage

Calling confect.Conf() creates a new configuration manager object. All configuration properties resides in it. It is possible to create multiple Conf object, but normally, one Conf object per application. Initialize it in some module, then import and use it anywhere in your application.

Put following lines in your application package. For example, in your_package.__init__.py.

>>> from confect import Conf
>>> conf = Conf()

Configuration properties should be declared with a default value and group name before using it. Default value can be any type as long as it can be deepcopy. Group name shuold be a valid attribute name.

Put your configuration group declaration code in the module which you need those properties. And make sure that the declaration is before all lines that access these properties. Normally, the group name is your class name, module name or subpackage name.

>>> from your_package import conf
>>> with conf.add_group('yummy') as yummy:
...     yummy.kind = 'seafood'
...     yummy.name = 'fish'
...     yummy.weight = 10
>>> conf.yummy.name
'fish'
>>> conf.yummy.weight
10

Configuration properties and groups are immutable. You can only globally change it by loading configuration files. Otherwise, they are always default values.

>>> conf.yummy.name = 'octopus'
Traceback (most recent call last):
   ...
confect.error.FrozenConfPropError: Configuration properties are frozen.

Configuration File

Use Conf.load_conf_file(path) or Conf.load_conf_module(module_name) to load configuration files. No matter it is loaded before or after groups/properties declaration, property values in configuration file always override default values. Loading multiple files is possible, the latter one would replace old values.

Be aware, you should access your configuration property values after load configuration file. If not, you might get wrong/old/default value.

>>> conf.load_conf_file('path/to/conf.py')

The default configuration file is in Python. That makes your configuration file programmable and unrestricted. Here’s an example of configuration file.

from confect import c

c.yummy.kind = 'poultry'
c.yummy.name = 'chicken'
c.yummy.weight = 25

import os
c.cache.expire = 60 * 60 # one hour
c.cache.key = os.environ['CACHE_KEY']

DEBUG = True
if DEBUG:
    c.cache.disable = True

If it’s hard for you to specify the path of configuration file. You can load it through the import system of Python. Put your configuration file somewhere under your package or make PYTHONPATH pointing to the directory it resides. Then load it with Conf.load_conf_module(module_name).

$ edit my_conf.py
$ export PYTHONPATH=.
$ python your_application.py
>>> from confect import Conf
>>> conf = Conf()
>>> conf.load_conf_module('my_conf')

Local Environment

Conf.local_env() context manager creates an environment that makes Conf object temporarily mutable. All changes would be restored when it leaves the block.

>>> conf = Conf()
>>> conf.add_group('dummy', prop1=3, prop2='some string') # add group through keyword arguments
>>> with conf.local_env():
...     conf.dummy.prop1 = 5
...     print(conf.dummy.prop1)
5
...     call_some_function_use_this_property()
>>> print(conf.dummy.prop1)  # all configuration restored
3

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