A simple configuration interface to use JSON files as configuration files.
PJC is installed via pip.
pip install pjconfLoading configuration is straightforward, just import and point to your json file.
import pjconf as pjc
# Load a json file as a configuration dictionary.
config = pjc.load_config('config.json')
# or, load a configuration file with an optional default set of configuration elsewhere
config = pjc.load_config('defaults.json', 'config.json', ignore_missing=True)Configuration files are loaded in a cascading sequence, multiple positional filepaths are loaded and override/update the previous keys. Setting ignore_missing=True will allow for a flexible resolve of optional configuration; disabling it will raise a FileNotFoundError on the first file it can't find.
Accessing configuration uses a get() method, with a cool dot-recursive syntax, optional defaults and runtime type-casting.
Let's assume the following configuration file.
{
"opt1": true
"opt2": 0.1
"opt3": {
"subopt1": "hello"
}
}You can use the following syntax to access your configuration.
# Access a simple option
opt1 = config.get('opt1')
# True
# Access a recursive (nested) option
subopt1 = config.get('opt3.subopt1')
# "hello"
# Try to access a missing option, but provide a default
missing_opt = config.get('missing', default=True)
# True
# Runtime type-casting
opt2asint = config.get('opt2', cast=int)
# 0For the last example, the cast argument takes a callable with a single parameter - you can be as simple or as complicated (i.e. lambdas or defined functions) as you like.