What Do You Use For Logging

[Solved] What Do You Use For Logging | Swift - Code Explorer | yomemimo.com
Question : python logging

Answered by : syed-nayeem-ridwan

import logging
import sys
logger = logging.getLogger()
logger.setLevel(logging.INFO)
formatter = logging.Formatter('%(asctime)s | %(levelname)s | %(message)s', '%m-%d-%Y %H:%M:%S')
stdout_handler = logging.StreamHandler(sys.stdout)
stdout_handler.setLevel(logging.DEBUG)
stdout_handler.setFormatter(formatter)
file_handler = logging.FileHandler('logs.log')
file_handler.setLevel(logging.DEBUG)
file_handler.setFormatter(formatter)
logger.addHandler(file_handler)
logger.addHandler(stdout_handler)
########### Simple way #############
import logging
logging.basicConfig(filename='test.log', format='%(filename)s: %(message)s', level=logging.DEBUG)
logging.debug('This is a debug message')
logging.info('This is an info message')
logging.warning('This is a warning message')
logging.error('This is an error message')
logging.critical('This is a critical message')

Source : | Last Update : Fri, 01 Mar 24

Question : Python Logging

Answered by : meghdad-hatami

# importing module
import logging
 
# Create and configure logger
logging.basicConfig(filename="newfile.log",
                    format='%(asctime)s %(message)s',
                    filemode='w')
 
# Creating an object
logger = logging.getLogger()
 
# Setting the threshold of logger to DEBUG
logger.setLevel(logging.DEBUG)
 
# Test messages
logger.debug("Harmless debug Message")
logger.info("Just an information")
logger.warning("Its a Warning")
logger.error("Did you try to divide by zero")
logger.critical("Internet is down")

Source : https://www.geeksforgeeks.org/logging-in-python/ | Last Update : Sat, 24 Sep 22

Question : python logging

Answered by : charlesalexandre-roy

# Example usage:
# For now, this is how I like to set up logging in Python:
import logging
# instantiate the root (parent) logger object (this is what gets called
# to create log messages)
root_logger = logging.getLogger()
# remove the default StreamHandler which isn't formatted well
root_logger.handlers = []
# set the lowest-severity log message to be included by the root_logger (this
# doesn't need to be set for each of the handlers that are added to the
# root_logger later because handlers inherit the logging level of their parent
# if their level is left unspecified. The root logger uses WARNING by default)
root_logger.setLevel(logging.INFO)
# create the file_handler, which controls log messages which will be written
# to a log file (the default write mode is append)
file_handler = logging.FileHandler('/path/to/logfile.log')
# create the console_handler (which enables log messages to be sent to stdout)
console_handler = logging.StreamHandler()
# create the formatter, which controls the format of the log messages
# I like this format which includes the following information:
# 2022-04-01 14:03:03,446 - script_name.py - function_name - Line: 461 - INFO - Log message.
formatter = logging.Formatter('%(asctime)s - %(filename)s - %(funcName)s - Line: %(lineno)d - %(levelname)s - %(message)s')
# add the formatter to the handlers so they get formatted as desired
file_handler.setFormatter(formatter)
console_handler.setFormatter(formatter)
# set the severity level of the console_hander to ERROR so that only messages
# of severity ERROR or higher are printed to the console
console_handler.setLevel(logging.ERROR)
# add the handlers to the root_logger
root_logger.addHandler(file_handler)
root_logger.addHandler(console_handler)
# given the above setup
# running this line will append the info message to the /path/to/logfile.log
# but won't print to the console
root_logger.INFO("A casual message.")
# running this line will append the error message to the /path/to/logfile.log
# and will print it to the console
root_logger.ERROR("A serious issue!")

Source : https://docs.python.org/3/howto/logging.html | Last Update : Mon, 11 Apr 22

Question : python logging format

Answered by : aman-kumar-verma

# Logger setup in python
def get_logger() -> logging.RootLogger: """instance of logger module, will be used for logging operations""" # logger config logger = logging.getLogger(__name__) logger.setLevel(logging.DEBUG) # log format lg_format = "%(levelname)s|%(filename)s:%(lineno)d|%(asctime)s|%(message)s" log_format = logging.Formatter(lg_format) # file handler file_handler = logging.FileHandler("log/monitor_model.log") file_handler.setFormatter(log_format) logger.handlers.clear() logger.addHandler(file_handler) return logger

Source : | Last Update : Fri, 25 Nov 22

Question : what is logging in programming

Answered by : hannan

In computing, a log file is a file that records either events that
occur in an operating system or other software runs, or messages between
different users of a communication software. Logging is the act of
keeping a log. ... Many operating systems, software frameworks and
programs include a logging system.

Source : | Last Update : Sun, 21 Nov 21

Question : # logging

Answered by : impossible-impala-2kf2sz6ngusb

# logging
import logging
# log the execution time and a message of an action
logging.basicConfig(filename='fileName.log', level=logging.INFO,	format='%(levelname)s:%(asctime)s:%(message)s',	datefmt="%Y-%m-%d %H:%M:%S")
logging.info('ADD TWO NUMBERS')
print(5+5)
# output in console -> 10
# output in fileName.log -> INFO:2021-12-25 17:47:27:ADD TWO NUMBERS
# Logging is a means of tracking events that happen when some software runs. Logging is important for software developing, debugging and running. If you don’t have any logging record and your program crashes, there are very little chances that you detect the cause of the problem.

Source : | Last Update : Sun, 03 Apr 22

Question : python logging

Answered by : zakaria-hassan

# For example usage:
# For now, this is how I like to set up logging in Python:
import logging
# instantiate the root (parent) logger object (this is what gets called
# to create log messages)
root_logger = logging.getLogger()
# remove the default StreamHandler which isn't formatted well
root_logger.handlers = []
# set the lowest-severity log message to be included by the root_logger (this
# doesn't need to be set for each of the handlers that are added to the
# root_logger later because handlers inherit the logging level of their parent
# if their level is left unspecified. The root logger uses WARNING by default)
root_logger.setLevel(logging.INFO)
# create the file_handler, which controls log messages which will be written
# to a log file (the default write mode is append)
file_handler = logging.FileHandler('/path/to/logfile.log')
# create the console_handler (which enables log messages to be sent to stdout)
console_handler = logging.StreamHandler()
# create the formatter, which controls the format of the log messages
# I like this format which includes the following information:
# 2022-04-01 14:03:03,446 - script_name.py - function_name - Line: 461 - INFO - Log message.
formatter = logging.Formatter('%(asctime)s - %(filename)s - %(funcName)s - Line: %(lineno)d - %(levelname)s - %(message)s')
# add the formatter to the handlers so they get formatted as desired
file_handler.setFormatter(formatter)
console_handler.setFormatter(formatter)
# set the severity level of the console_hander to ERROR so that only messages
# of severity ERROR or higher are printed to the console
console_handler.setLevel(logging.ERROR)
# add the handlers to the root_logger
root_logger.addHandler(file_handler)
root_logger.addHandler(console_handler)
# given the above setup
# running this line will append the info message to the /path/to/logfile.log
# but won't print to the console
root_logger.INFO("A casual message.")
# running this line will append the error message to the /path/to/logfile.log
# and will print it to the console
root_logger.ERROR("A serious issue!")

Source : | Last Update : Wed, 08 Mar 23

Question : Request Logging

Answered by : obedient-ocelot-5tkogtygmlyl

Logging
In many cases it can be useful to print the
response and/or request details in order to
help you create the correct expectations and
send the correct requests. To do help you do thi
s you can use one of the predefined filters
supplied with REST Assured or you can use one of the shortcuts.
Request Logging
given().log().all(). .. //
Log all request specification details
including parameters, headers and body
given().log().params(). .. // Log only the parameters of the request
given().log().body(). .. // Log only the request body
given().log().headers(). .. // Log only the request headers
given().log().cookies(). .. // Log only the request cookies
given().log().method(). .. // Log only the request method
given().log().path(). .. // Log only the request path

Source : | Last Update : Mon, 21 Dec 20

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