Hi, Having solved my problem regarding setting up 'logger' such that it is accessible throughout my program (thanks to the help on this list), I now have problem related to a slightly similar issue.
My reading suggests that setting up a module with a Config class which can be imported by any part of the program might be a reasonable approach: import configparser class Config: def __init__(self, config_file): config = configparser.ConfigParser() config.read(config_file) However, in my config file I am using sections, so 'config' is a dict of dicts. Is there any cleverer generic way of initialising the class than self.config = config ? This seems a bit clunky, because I'll end up with something like import config ... c = config.Config(config_file) uids = get_uids(int(c.config["uids"]["minimum_uid"])) rather than something like, maybe uids = get_uids(int(c.minimum_uid)) or uids = get_uids(int(c.uids_minimum_uid)) So the question is: How can I map a dict of dicts onto class attributes in a generic way such that only code which wants to use a new configuration parameter needs to be changed and not the Config class itself? Or should I be doing this differently? Note that the values from ConfigParser are all strings, so I am fine with the attributes being strings - I'll just convert them as needed at the point of use (but maybe there is also a better way of handling that within a class). Cheers, Loris -- This signature is currently under constuction. -- https://mail.python.org/mailman/listinfo/python-list