Load multiple configurations from various sources and merge them together.

Example json file at: /path/to/config.json

{
    "id": "mr_example",
    "token": "ABCDEFGHIJ",
    "some": {
        "nested": {
            "bits": {
                "value": 15,
                "other_thing": 8
            }
        }
    }
}

from multicfg.config import load_configuration

config = load_configuration([
    ('json', {'file': '/path/to/config.json'})
])

config.id == "mr_example"
config.token == "ABCDEFGHIJ"
config.some.nested.bits.value == 15

Support for sqlalchemy, yaml, python are all coming soon. You can also add your own parsers very easily.

load_configuration takes an array of tuples in the form of: (type, location, path)

`type`: a defined ConfigType class, like 'json', 'sqlalchemy' or 'yaml'

`location`: This is a pointer to where to find the data. Each ConfigType can specify available locations, such as files, raw strings, database connection information, etc.

You can specify a dictionary for precision, but the parser will try to guess your meaning if you simply pass a string, by trying all available options until one works.

For example, with json type, location could be any of:

`path`: optional config path-prefix

Returns: The root Config() object that is the base of the configuration, which can be traversed with attribute notation.

Example: given 'json' config file that looks like:

{
    "a": {
        "b": {
            "c": {
                "d": 15
            }
        }
    }
}

config = load_configuration([
        ('json', {'file': '/path/to/above/config.json'}, 'h.i.j')
])

config.h.i.j.a.b.c.d == 15