python-json-logger | Json Formatter for the standard python logger
kandi X-RAY | python-json-logger Summary
kandi X-RAY | python-json-logger Summary
This library is provided to allow standard python logging to output log data as json objects. With JSON we can make our logs more readable by machines and we can stop writing custom parsers for syslog type records.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Initialize the class .
- Format a record .
- Encode obj .
- Add fields to log record .
- Merge extra fields into target record .
- Import a module as a string .
- Format a datetime object .
python-json-logger Key Features
python-json-logger Examples and Code Snippets
pip install python-json-logger
LOG_CONFIG = {
"version": 1,
"formatters": {
"json": {
"class": "pythonjsonlogger.jsonlogger.JsonFormatter",
"format": "[%(asctime)s] %(levelname)s in %(module)s: %(message)s"
from splunk_handler import SplunkHandler
import logging
from splunk_handler import SplunkHandler
splunk = SplunkHandler(
host='splunk.example.com',
port='8088',
token='851A5E58-4EF1-7291-F947-F614A76ACB21',
class CustomJsonFormatter(jsonlogger.JsonFormatter):
def add_fields(self, log_record, record, message_dict):
super(CustomJsonFormatter, self).add_fields(log_record, record, message_dict)
custom_msg = f"{record.filename
from airflow.utils.log.file_processor_handler import FileProcessorHandler
from airflow.utils.log.file_task_handler import FileTaskHandler
from airflow.utils.log.logging_mixin import RedirectStdHandler
from pythonjsonlogger import jsonlogge
handlers
-subfolder1
-subfolder2
-setup.py
handlers
-subfolder1
-subfolder2
setup.py
cd handlers
mv setup.py ..
cd ..
python setup.py sdist bdist_wheel
pip install -r requirements.txt
conda install --yes --file requirements.txt
while read requirement; do conda install --yes $requirement; done < requirements.txt
import logging
logging.basicConfig(filename='my.log', filemode='w',
format='{"Message": "%(message)s"}',
datefmt='%Y-%m-%d %H:%M:%S',
level=logging.DEBUG)
class FilterNoQuotes(
version: 1
formatters:
detailed:
class: logging.Formatter
format: '[%(asctime)s]:[%(levelname)s]: %(message)s'
json:
class: pythonjsonlogger.jsonlogger.JsonFormatter
format: '%(asctime)s %(levelname)
import logging
class CustomLogger(object):
def __init__(self, logger_name, log_format, extra=None):
logging.basicConfig(format=log_format)
self.logger = logging.getLogger(logger_name)
self.extra = extra
de
Community Discussions
Trending Discussions on python-json-logger
QUESTION
I want to merge multiple values under a single JSON key while logging it to the console.
Here is a code snippet
...ANSWER
Answered 2022-Jan-06 at 12:56The documentation you linked here shows how to create a custom format. You can also see the attributes of the LogRecord
that is passed in to the function call.
QUESTION
I am trying to correctly output logs on my service running on google cloud, and for the most part they are correctly identified (DEBUG
and INFO
logs, being sent to stdout
, are marked as info, whereas WARNING
, ERROR
, and CRITICAL
logs are sent to stderr
and are marked as error). Now, I am trying to get the exact severity out of them, without needing to use the google-cloud-logging
library. Is there a way where I can accomplish this?
Here an example of what I currently obtain is shown, with severity (icon on the left) matching whether the log comes from stdout
or stderr
.
This is what I'm trying to obtain, but without using the google-cloud-logging
library
Edit:
my logs are written to the output streams in json format, by using the python-json-logger
library for python. My google cloud logs have their information stored as in the picture below. We are not using fluentd for log parsing.
ANSWER
Answered 2021-Mar-25 at 16:10After some research and help from @SerhiiRohoza It doesn't seem you can, so in order to set the severity on google cloud you need to add the google-cloud-logging library to your project and set it up as described on the documentation.
QUESTION
I am having no trouble sshing into a Google Cloud compute engine VM, but am unable to ssh into the master node of a Google Cloud Dataproc cluster.
Specifically,
...ANSWER
Answered 2020-Nov-12 at 14:53Turns out the problem is that the cluster creates a new account called my_username on the cluster master VM, but I am logged into my laptop as a user called 'admin'. So there is a mismatch between account name and key at the destination, so the login fails.
Can be fixed by adding username to the gcloud command:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install python-json-logger
You can use python-json-logger like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page