Objective: prevent schedule
from logging every time it runs.
Background:
I am using the logging
and schedule
libraries in a python project.
My log file contains information about the physical state of a instrument run by a Raspberry Pi, and is updated every 10 seconds.
I use the schedule
library to schedule that periodic log.
Here is the limited documentation I have found for schedule
.
The Problem:
The schedule
library logs this statement, every time it runs a job.
2016-06-29 09:01:51,022 INFO: Running job every 10 seconds do update_log() (Last run...
The function that schedule
calls is update_log()
, a function that calculates the variables included in the log I run every ten seconds and logs them (example below).
2016-06-29 09:01:51,022 INFO: Dist: 12.3 m Rate: 23.8 cm/s
Because schedule
is producing its own (fairly useless) log line, it makes the logging I am actually trying to do very difficult to read.
The Goal:
Prevent schedule
from logging that first statement.
getLogger(name) is typically executed. The getLogger() function accepts a single argument - the logger's name. It returns a reference to a logger instance with the specified name if provided, or root if not. Multiple calls to getLogger() with the same name will return a reference to the same logger object.
The schedule
module is exclusively using the logger called schedule
. You can use the logging
library to disable this logger from writing to your main logger.
import logging
logging.getLogger('schedule').propagate = False
If you don't want schedule
's logs at all, you can also disable it by settings its log level above any real log level.
import logging
logging.getLogger('schedule').setLevel(logging.CRITICAL + 10)
If you just want some messages to get through, set the level to a regular logging
level.
Since python2.7, you can also use a NullHandler instead.
import logging
logging.getLogger('schedule').propagate = False
logging.getLogger('schedule').addHandler(logging.NullHandler())
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