Hey I am trying to set up a logger for python3.9 for an entire project, with multiple files. I want to just define the logger in main.py using command line arguments to define log file name.
logging.basicConfig(format='%(asctime)s %(levelname)-8s %(message)s', level='INFO')
logger = logging.getLogger(__name__)
def main():
file_name = sys.argv[1]
lookback_minutes = int(sys.argv[2])
file_handler = logging.FileHandler(f'log/{file_name}.log')
logger.addHandler(file_handler)
logger.info(f'Running processing chain for: {file_name}')
processing_chain.run(lookback_minutes)
processing_chain file:
import logging
def run(lookback_minutes):
logging.info(lookback_minutes)
Which works for main, I get the info statement printed to the log file. However I do not understand how to import it into the files that main calls. How do I bring the file handler into processing_chain file? Currently from what I could understand from other places on stackoverflow, I just import logging and then use logging.info or any other level and it should follow. But it does not log to file, just to console.
Related
I'm using python 3.7.3, with flask version 1.0.2.
When running my app.py file without the following imports:
import logging
logging.basicConfig(filename='api.log',level=logging.DEBUG)
Flask will display relevant debug information to console, such as POST/GET requests and which IP they came from.
As soon as DEBUG logging is enabled, I no longer receive this output. I have tried running my application in debug mode:
app.run(host='0.0.0.0', port=80, debug=True)
But this produces the same results. Is there a way to have both console output, and python logging enabled? This might sound like a silly request, but I would like to use the console for demonstration purposes, while having the log file present for troubleshooting.
Found a solution:
import logging
from flask import Flask
app = Flask(__name__)
logger = logging.getLogger('werkzeug') # grabs underlying WSGI logger
handler = logging.FileHandler('test.log') # creates handler for the log file
logger.addHandler(handler) # adds handler to the werkzeug WSGI logger
#app.route("/")
def index():
logger.info("Here's some info")
return "Hello World"
if __name__ == '__main__':
app.run(host='0.0.0.0', port=80)
Other Examples:
# logs to console, and log file
logger.info("Some text for console and log file")
# prints exception, and logs to file
except Exception as ue:
logger.error("Unexpected Error: malformed JSON in POST request, check key/value pair at: ")
logger.error(ue)
Source:
https://docstrings.wordpress.com/2014/04/19/flask-access-log-write-requests-to-file/
If link is broken:
You may be confused because adding a handler to Flask’s app.logger doesn’t catch the output you see in the console like:
127.0.0.1 - - [19/Apr/2014 18:51:26] "GET / HTTP/1.1" 200 -
This is because app.logger is for Flask and that output comes from the underlying WSGI module, Werkzeug.
To access Werkzeug’s logger we must call logging.getLogger() and give it the name Werkzeug uses. This allows us to log requests to an access log using the following:
logger = logging.getLogger('werkzeug')
handler = logging.FileHandler('access.log')
logger.addHandler(handler)
# Also add the handler to Flask's logger for cases
# where Werkzeug isn't used as the underlying WSGI server.
# This wasn't required in my case, but can be uncommented as needed
# app.logger.addHandler(handler)
You can of course add your own formatting and other handlers.
Flask has a built-in logger that can be accessed using app.logger. It is just an instance of the standard library logging.Logger class which means that you are able to use it as you normally would the basic logger. The documentation for it is here.
To get the built-in logger to write to a file, you have to add a logging.FileHandler to the logger. Setting debug=True in app.run, starts the development server, but does not change the log level to debug. As such, you'll need to set the log level to logging.DEBUG manually.
Example:
import logging
from flask import Flask
app = Flask(__name__)
handler = logging.FileHandler("test.log") # Create the file logger
app.logger.addHandler(handler) # Add it to the built-in logger
app.logger.setLevel(logging.DEBUG) # Set the log level to debug
#app.route("/")
def index():
app.logger.error("Something has gone very wrong")
app.logger.warning("You've been warned")
app.logger.info("Here's some info")
app.logger.debug("Meaningless debug information")
return "Hello World"
app.run(host="127.0.0.1", port=8080)
If you then look at the log file, it should have all 4 lines printed out in it and the console will also have the lines.
Even I searched in the google, did not find.
I am struggling with the code. Please help me.
My requirement is simple:
If any error occured, need to send to .log file for the below program.But below code is not capturing in .log file.
Please help me.
Thanks in advance.
import pandas as pd
import pyodbc
import time
import logging
df= pd.read_csv('Testing.csv')
logger = logging.getLogger('simple_example')
logger.setLevel(logging.DEBUG)
# create file handler which logs even debug messages
fh = logging.FileHandler("Archieve\\spam.log")
fh.setLevel(logging.DEBUG)
# create console handler with a higher log level
ch = logging.StreamHandler()
ch.setLevel(logging.ERROR)
# create formatter and add it to the handlers
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
ch.setFormatter(formatter)
fh.setFormatter(formatter)
# add the handlers to logger
logger.addHandler(ch)
logger.addHandler(fh)
# 'application' code
logger.debug('debug message')
logger.info('info message')
logger.warn('warn message')
logger.error('error message')
logger.critical('critical message')
Make sure you all the imports are properly resolved with installing respective dependencies.
Then make sure you have a file named "Testing.csv" in your current working directory or PYTHONPATH.
Finally make sure, you have folder named "Archieve" in your current working directory, if it is not there, create it first.
mkdir Archieve
Finally see the log file in Archieve folder.
cat Archieve\spam.log
I am running a script in EC2 instance as job (through task scheduler) which creates its own log file. On my local machine it runs perfectly fine and creates the file, but on EC2 i'm not able to see the file at all.
Here is the sample code
import logging
import logging.handlers
def setup_logging(logger, logfile):
logger.setLevel(logging.INFO)
handler = logging.handlers.RotatingFileHandler(
logfile, maxBytes=(1048576 * 5), backupCount=7)
formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
handler.setFormatter(formatter)
logger.addHandler(handler)
console_handler = logging.StreamHandler()
console_handler.setFormatter(formatter)
logger.addHandler(console_handler)
logfile = 'one_time_loader'
logger = logging.getLogger()
setup_logging(logger, logfile)
for i in range(0,1000):
logger.info(i)
Kindly help me to resolve it.
You'll need to import Boto3 from the AWS SDK. https://aws.amazon.com/sdk-for-python/ Since you're running it as an EC2 instance type, you'll need to make calls against the Resource APIs. See the doc for more information.
I use scrapy 1.1.0, and I have 5 spiders in the "spiders" folder.
In every spider, I try to use python3 logging module. And the code structure like this :
import other modules
import logging
class ExampleSpider(scrapy.Spider):
name = 'special'
def __init__(self):
# other initializations
# set log
self.log = logging.getLogger('special')
self.log.setLevel(logging.DEBUG)
logFormatter = logging.Formatter('%(asctime)s %(levelname)s: %(message)s')
# file handler
fileHandler = logging.FileHandler(LOG_PATH) # LOG_PATH has defined
fileHandler.setLevel(logging.DEBUG)
fileHandler.setFormatter(logFormater)
self.log.addHandler(fileHandler)
# other functions
every spider has the same structure.When I run these spiders, I check the log file, they did exist, but their size are always 0 byte.
And the other question is that when I run one spider, it always generated two or more log files. Like I run a spider, and it will generate a.log and b.log.
Any answers would appreciate.
You can set log file via LOG_FILE setting in settings.py or via command line argument --logfile FILE, i.e. scrapy crawl myspider --logfile myspider.log
As described in the official docs
i can't import zxlolbot.py
have problem...
No handlers could be found for logger "zxlolbot"
It means zxlolbot uses logging module without configuring it properly. You should see:
logger = logging.getLogger(__name__)
in zxlolbot.py. Add this line after it:
logger.addHandler(logging.NullHandler())
To save logging messages to a file, you could add in bot.py:
if __name__=="__main__":
import logging
logging.basicConfig(filename='bot.log', level=logging.INFO)
This sounds like you didn't set up the logging module properly.