python-json-logger | Json Formatter for the standard python logger

 by   madzak Python Version: 2.0.7 License: BSD-2-Clause

kandi X-RAY | python-json-logger Summary

kandi X-RAY | python-json-logger Summary

python-json-logger is a Python library typically used in Logging applications. python-json-logger has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install python-json-logger' or download it from GitHub, PyPI.

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.
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            kandi-support Support

              python-json-logger has a medium active ecosystem.
              It has 1493 star(s) with 207 fork(s). There are 26 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 5 open issues and 89 have been closed. On average issues are closed in 786 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of python-json-logger is 2.0.7

            kandi-Quality Quality

              python-json-logger has 0 bugs and 0 code smells.

            kandi-Security Security

              python-json-logger has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              python-json-logger code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              python-json-logger is licensed under the BSD-2-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              python-json-logger releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              python-json-logger saves you 135 person hours of effort in developing the same functionality from scratch.
              It has 351 lines of code, 30 functions and 5 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed python-json-logger and discovered the below as its top functions. This is intended to give you an instant insight into python-json-logger implemented functionality, and help decide if they suit your requirements.
            • 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 .
            Get all kandi verified functions for this library.

            python-json-logger Key Features

            No Key Features are available at this moment for python-json-logger.

            python-json-logger Examples and Code Snippets

            python_log_sanitizer,Usage
            Pythondot img1Lines of Code : 41dot img1License : Permissive (MIT)
            copy iconCopy
            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"
                
            Splunk Handler,Usage
            Pythondot img2Lines of Code : 32dot img2License : Permissive (MIT)
            copy iconCopy
            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',
                    
            With JSON logs can I merge multiple values under a single key
            Pythondot img3Lines of Code : 9dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            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
            Format Airflow Logs in JSON
            Pythondot img4Lines of Code : 63dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            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
            Generating root level package in python using setuptools
            Pythondot img5Lines of Code : 15dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            handlers
             -subfolder1
             -subfolder2
             -setup.py
            
            handlers
             -subfolder1
             -subfolder2
            setup.py
            
            cd handlers
            mv setup.py ..
            cd ..
            python setup.py sdist bdist_wheel
            
            How to create new environment from a text file without environment name?
            Pythondot img6Lines of Code : 8dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            pip install -r requirements.txt
            
            conda install --yes --file requirements.txt
            
            while read requirement; do conda install --yes $requirement; done < requirements.txt
            
            Remove QUOTES from - %(message)s
            Pythondot img7Lines of Code : 21dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            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(
            Can structured logging be done with Pythons standard library?
            Pythondot img8Lines of Code : 24dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            version: 1
            formatters:
                detailed:
                    class: logging.Formatter
                    format: '[%(asctime)s]:[%(levelname)s]: %(message)s'
                json:
                    class: pythonjsonlogger.jsonlogger.JsonFormatter
                    format: '%(asctime)s %(levelname)
            python logging - With JSON logs can I add an "extra" value to every single log?
            Pythondot img9Lines of Code : 29dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            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

            QUESTION

            With JSON logs can I merge multiple values under a single key
            Asked 2022-Jan-06 at 12:56

            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 12:56

            The 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.

            Source https://stackoverflow.com/questions/70607150

            QUESTION

            set log severity on google cloud without using google-cloud-logging library
            Asked 2021-Mar-25 at 16:10

            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 16:10

            After 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.

            Source https://stackoverflow.com/questions/66674068

            QUESTION

            Unable to ssh to master node of Google Cloud Dataproc, but can ssh to Compute Engine VM
            Asked 2020-Nov-12 at 14:53

            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 14:53

            Turns 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:

            Source https://stackoverflow.com/questions/63739851

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install python-json-logger

            You can install using 'pip install python-json-logger' or download it from GitHub, PyPI.
            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

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

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            Install
          • PyPI

            pip install python-json-logger

          • CLONE
          • HTTPS

            https://github.com/madzak/python-json-logger.git

          • CLI

            gh repo clone madzak/python-json-logger

          • sshUrl

            git@github.com:madzak/python-json-logger.git

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