splunk_handler | Python logging handler for sending logs to Splunk Enterprise

 by   zach-taylor Python Version: v3.0.0 License: MIT

kandi X-RAY | splunk_handler Summary

kandi X-RAY | splunk_handler Summary

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

Python logging handler for sending logs to Splunk Enterprise
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            kandi-support Support

              splunk_handler has a low active ecosystem.
              It has 44 star(s) with 34 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 4 open issues and 11 have been closed. On average issues are closed in 222 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of splunk_handler is v3.0.0

            kandi-Quality Quality

              splunk_handler has 0 bugs and 3 code smells.

            kandi-Security Security

              splunk_handler has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              splunk_handler code analysis shows 0 unresolved vulnerabilities.
              There are 1 security hotspots that need review.

            kandi-License License

              splunk_handler is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              splunk_handler 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, examples and code snippets are available.
              splunk_handler saves you 165 person hours of effort in developing the same functionality from scratch.
              It has 412 lines of code, 24 functions and 4 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed splunk_handler and discovered the below as its top functions. This is intended to give you an instant insight into splunk_handler implemented functionality, and help decide if they suit your requirements.
            • Write record to log queue
            • Worker thread
            • Format a record
            • Ensure the queue is empty
            • Get attribute from obj
            • Write debug log
            • Write log message
            • Performs shutdown
            • Shutdown the worker thread
            • Wait until the queue is empty
            • Force the flush
            • Flush the splunk workers
            • Start a worker thread
            • Wait until all instances are empty
            • Close the logger
            Get all kandi verified functions for this library.

            splunk_handler Key Features

            No Key Features are available at this moment for splunk_handler.

            splunk_handler Examples and Code Snippets

            Splunk Handler,Usage,Logging Config
            Pythondot img1Lines of Code : 70dot img1License : Permissive (MIT)
            copy iconCopy
            import os
            
            # Splunk settings
            SPLUNK_HOST = os.getenv('SPLUNK_HOST', 'splunk.example.com')
            SPLUNK_PORT = int(os.getenv('SPLUNK_PORT', '8088'))
            SPLUNK_TOKEN = os.getenv('SPLUNK_TOKEN', '851A5E58-4EF1-7291-F947-F614A76ACB21')
            SPLUNK_INDEX = os.getenv('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',
                    
            Splunk Handler,A Note on Using with AWS Lambda
            Pythondot img3Lines of Code : 5dot img3License : Permissive (MIT)
            copy iconCopy
            from splunk_handler import force_flush
            
            def lambda_handler(event, context):
                do_work()
                force_flush()  # Flush logs in a blocking manner
              

            Community Discussions

            QUESTION

            Issue in sending python logs to Splunk using splunk_hec_handler
            Asked 2021-Dec-13 at 03:41

            I am using Python logging library to push logs to splunk. This package use HEC method to push logs to splunk.

            Issue I am facing is that out of many logger statements in my application, I want selectively only few logger statements to splunk not all. So i created one method below method which converts string logs in json (key/value) and pushes into splunk. So I am calling this method just after the logger statement I wish to push to splunk. But rest all the logger statements which i dont wish to send to splunk they are also getting pushed to splunk.

            Why is this happening?

            ...

            ANSWER

            Answered 2021-Dec-13 at 03:41

            I believe that the problem is with your calls to logging.getLogger, namely when you're configuring your app logger, you're specifying a logger name, but when you're configuring the splunk logger, you're not specifying any and therefore getting, configuring, and attaching the SplunkHandler to the root logger.

            As events come in to the lower level loggers by default they propagate their events to higher level loggers (e.g. the root logger) and thus get emitted to Splunk.

            I suspect an easy solution would be to look at your logger names... possibly put the Splunk logger at a lower level than your component? or look into the propagation of loggers. The same docs page linked above talks a bit about logger objects and their propagation.

            Source https://stackoverflow.com/questions/70296148

            QUESTION

            Pushing logs from python to Splunk
            Asked 2021-Nov-15 at 13:06

            How can we push Python Application logs to Splunk. what are the prerequisite.Should we first convert out logs in structured format(key-value based) before sending to Splunk?

            There is a package splunk_handler for pushing logs to splunk but i could not found any documentation with practical working example.I just have gitbub page for this package but that does not have any practical implementation.

            Please help on this

            ...

            ANSWER

            Answered 2021-Nov-15 at 13:06

            There are a couple of ways to do that. The first is to install Splunk's Universal Forwarder (UF) and have it monitor the file(s) where the logs are written. The UF will handle sending the logs to Splunk. You do not have to convert the logs, but may have to configure Splunk to interpret them correctly.

            The second method is to send the logs directly to Splunk's HTTP Event Collector (HEC). There is a Python class to do that available on GitHub at https://github.com/georgestarcher/Splunk-Class-httpevent .

            Source https://stackoverflow.com/questions/69974233

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

            Vulnerabilities

            No vulnerabilities reported

            Install splunk_handler

            You can install using 'pip install splunk_handler' or download it from GitHub, PyPI.
            You can use splunk_handler 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.

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