How do I silence the "DEBUG:dataset.persistence…" messages? about dataset HOT 12 CLOSED

import logging

dataset_log = logging.getLogger("dataset")
dataset_log.setLevel(logging.WARNING)

from dataset.

Is that documented anywhere?

And why's it the default? I don't think I've ever seen a Python library where logging was opt-out rather than opt-in.

from dataset.

Ok, should probably flip it.

from dataset.

requests has debug messages enabled by default, too.

from dataset.

@gka Not that I've ever noticed. Are you sure?

from dataset.

http://stackoverflow.com/questions/11029717/how-do-i-disable-log-messages-from-the-requests-library

from dataset.

I stand corrected. Although I've still never seen any such messages in my use of requests.

The difference, I think, is that I can write something like this in a python file…

import requests
requests.get('http://httpbin.org/ip')
requests.post('http://httpbin.org/post', data={"foo": "bar"})

…and when I run it, I don't see any debugging cruft from requests. But if I write an equally simple file using dataset…

import dataset
db = dataset.connect('sqlite:///:memory:')
db["test"].insert({"foo": "bar"})

…I get a load of debug output. :-(

DEBUG:dataset.persistence.database:Creating table: test on Engine(sqlite:///:memory:)
DEBUG:dataset.persistence.table:Creating column: foo (<class 'sqlalchemy.types.UnicodeText'>) on 'test'

from dataset.

I think that 'feature' was introduced in a more recent version of requests. Maybe you have to update the package, current version is 1.2.3.

from dataset.

Ahh. I'm on 1.2.0. And to be honest, there's not much incentive to upgrade, if it means I'm going to have to prepend three lines of log-suppressing boilerplate to all my code :-/

from dataset.

requests 1.2.3 does not log by default.

I believe the culprit is line 11 of freeze/app.py:
logging.basicConfig(level=logging.DEBUG)

This is enabling logging at debug level for the global root logger (from which all loggers inherit) - that's why you're seeing logging output from requests.

From the docs at http://docs.python.org/2/library/logging.html#logging.basicConfig : "Does basic configuration for the logging system by creating a StreamHandler with a default Formatter and adding it to the root logger. The functions debug(), info(), warning(), error() and critical() will call basicConfig() automatically if no handlers are defined for the root logger."

from dataset.

After upgrading to the git version of dataset, this no longer seems to be a problem. Is there a way that you could push the new version to PyPI too?

from dataset.

Thanks for the poke, here we go: https://pypi.python.org/pypi?:action=display&name=dataset&version=0.3.9

from dataset.