json-logging-py | JSON / Logstash formatters for Python

 by   sebest Python Version: 0.2 License: MIT

kandi X-RAY | json-logging-py Summary

kandi X-RAY | json-logging-py Summary

json-logging-py is a Python library typically used in Logging applications. json-logging-py 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 json-logging-py' or download it from GitHub, PyPI.

JSON / Logstash formatters for Python logging
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            kandi-support Support

              json-logging-py has a low active ecosystem.
              It has 17 star(s) with 4 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 299 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of json-logging-py is 0.2

            kandi-Quality Quality

              json-logging-py has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              json-logging-py 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

              json-logging-py releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              json-logging-py saves you 62 person hours of effort in developing the same functionality from scratch.
              It has 163 lines of code, 10 functions and 3 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed json-logging-py and discovered the below as its top functions. This is intended to give you an instant insight into json-logging-py implemented functionality, and help decide if they suit your requirements.
            • Formats the log record
            • Extract extra fields from log record
            • Returns the fields of the debug record
            • Format a source URL
            • Format a timestamp
            • Format an exception
            • Serialize to JSON
            • Format a log record
            • Formats a log record
            Get all kandi verified functions for this library.

            json-logging-py Key Features

            No Key Features are available at this moment for json-logging-py.

            json-logging-py Examples and Code Snippets

            No Code Snippets are available at this moment for json-logging-py.

            Community Discussions

            QUESTION

            How do I get my fastAPI application's console log in json format with a different structure and different fields?
            Asked 2022-Feb-22 at 12:51

            I have a fastAPI application where I would like to get the default logs written to the STDOUT with following data and in JSON format:

            App logs should look like this:

            ...

            ANSWER

            Answered 2022-Feb-22 at 12:51

            You could do that by creating a custom Formatter using the built-in logger module. You can use the extra parameter when logging messages to pass contextual information, such as url and headers. Python's JSON module already implements pretty-printing JSON data in the dump() function, using the indent parameter to define the indent level. Below is a working example using a custom formatter to log messages in the format you described in your question. For App logs use, for instance, logger.info('sample log message'), whereas, for Access logs, use logger.info('sample log message', extra={'extra_info': get_extra_info(request)}). By passing the request instance to the get_extra_info() method, you can extract information such as the one you mentioned above. For more LogRecord attributes, have a look here. The below example uses a FileHandler for logging the messages in a log file as well. If you don't need that, you can comment it out in the get_logger() method.

            app_logger.py

            Source https://stackoverflow.com/questions/70891687

            QUESTION

            Collectstatic failing - botocore.exceptions.ClientError: An error occurred (404) when calling the HeadObject operation: Not Found
            Asked 2020-May-29 at 18:56

            I'm attempting to run collectstatic on a stage deploy to AWS. I'm getting the following error, and no files are being placed in the bucket:

            ...

            ANSWER

            Answered 2020-May-28 at 15:25

            Found an answer on another site from someone that was having a similar issue. It seems S3Boto3Storage is throwing IOError but ManifestFilesMixin is expecting FileNotFound. This solved my issue and I'm now seeing the hashed files in my S3 bucket along with a staticfiles.json.

            Source https://stackoverflow.com/questions/62050812

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

            Vulnerabilities

            No vulnerabilities reported

            Install json-logging-py

            You can install using 'pip install json-logging-py' or download it from GitHub, PyPI.
            You can use json-logging-py 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 .
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            Install
          • PyPI

            pip install json-logging-py

          • CLONE
          • HTTPS

            https://github.com/sebest/json-logging-py.git

          • CLI

            gh repo clone sebest/json-logging-py

          • sshUrl

            git@github.com:sebest/json-logging-py.git

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