On Oct 8, 2009, at 10:47 AM, Vinay Sajip wrote:

I've had bad experiences in the past with dictionary-based APIs. They seem

"simpler" in the short run, because the user "only needs to create some dictionaries". Once the complexity of that nested dictionary grows to a certain point, though, one has to refer back to documentation constantly to make sure

Fair point, and agreed that the schema needs some care, here's roughly what I'm thinking of as an example configuration (YAML):

formatters:
 brief:
   format: '%(levelname)-8s: %(name)-15s: %(message)s'
 precise:
   format: '%(asctime)s %(name)-15s %(levelname)-8s %(message)s'
filters:
 allow_foo:
   name: foo
handlers:
 console:
   class : logging.StreamHandler
   formatter: brief
   level   : INFO
   stream  : sys.stdout
   filters: [allow_foo]
 file:
   class : logging.handlers.RotatingFileHandler
   formatter: precise
   filename: logconfig.log
   maxBytes: 1024
   backupCount: 3
 debugfile:
   class : logging.FileHandler
   formatter: precise
   filename: logconfig-detail.log
   mode: a
loggers:
 foo:
   level : ERROR
   handlers: [debugfile]
 spam:
   level : CRITICAL
   handlers: [debugfile]
   propagate: no
 bar.baz:
   level: WARNING

root:
 level     : DEBUG
 handlers  : [console, file]

It's not too deeply nested, and I can't see any need for it being more deeply nested. It more or less mirrors the way you'd have to write the corresponding ConfigParser-compatible configuration, but if you use a dict as a common format, you have the benefits which I mentioned of supporting JSON, YAML or Python code in a Django settings.py.

Yes, that makes sense.

the structure conforms to the "schema". Building a simple config tree using light-weight classes with documented APIs tends to be more sustainable in the
long run.

When you say 'config tree using light-weight classes', I presume you mean a parallel set of classes to the actual logging classes which will be instantiated? ISTM logging classes are already reasonably usable for programmatic configuration, but this doesn't address e.g. updating configurations easily without program code changes, or the ability to configure from say a YAML node, where YAML may be being used for application configuration as a whole. (Unless of course I've misunderstood what you're getting at.)

The probably are light-weight enough, but I didn't want to assume those classes would be used directly. I suspect they could be, though.

I guess there aren't *so* many levels or keys that the data structure will become unwieldy.

Doug

_______________________________________________
Python-Dev mailing list
Python-Dev@python.org
http://mail.python.org/mailman/listinfo/python-dev
Unsubscribe: 
http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com

Reply via email to