Pure python library for libconfig syntax. IO works via strings, and include directives.

Scalar types are pythons basic types str, int, long, float, bool. The libconfig types Array, List, Group are implemented as ConfArray, ConfList, ConfGroup, respectively. A config is setup from a string only, and represented as a string automatically.

Config represents a libconfig configuration. The string representation is itself readable as a config. Access works via attributes:

>>> import pylibconfig2 as cfg
>>> c = cfg.Config("my_setting = 5;")
>>> str(c)
'my_setting = 5;'
>>> c.my_setting
5

Or via lookup as in the original libconfig way (no exceptions are raised):

>>> c = Config('my = {nested = {sett = (0, {ng = "rocks!"})}}')
>>> c.lookup('my.nested.sett.[1].ng')
'rocks!'
>>> c.lookup('my.nested.foo', 'bar')
'bar'

Setting values should be done by path (but attribution is also possible):

>>> c = Config('')
>>> c.setup('foo', 1)
True
>>> c.setup('bar', '{hello = "world"}')
True
>>> c.lookup('bar.hello')
'world'
>>> c.setup('a.nonexisting.group', '"returns False!"')
False

These functions are given for further convenience:

keys() values() items() get(key, default) set(key, value)

ConfArray represents a libconfig array. Access works via the [] operator:

>>> c = cfg.Config("my_array = [1, 2, 3];")
>>> c.my_array[1]
2

ConfList represents a libconfig list. Access works via the [] operator:

>>> c = cfg.Config('my_list = (1.5, 2L, 0xee, "string");')
>>> c.my_list[1]
2L

ConfGroup represents a libconfig group. Access works via attributes:

>>> c = cfg.Config("my_group = {my_setting = 5;};")
>>> c.my_group.my_setting
5

Again, these functions are given for convenience:

keys() values() items() get(key, default) set(key, value)