LogPlus

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pip show logplus

Name: logplus
Version: 0.1.3
Summary: Log Better
Home-page: https://github.com/tactlabs/logplus
Author: Raja CSP Raman
Author-email: [e-mail]
License: MIT
Location: /home/rajaraman/miniconda3/envs/ml311/lib/python3.11/site-packages
Requires: pypandoc
Required-by: 

Client Challengepypi.org

GitHub - kactlabs/logplus: Log BetterGitHub

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How to publish?

1. Make sure you have token available here:

cat $HOME/.pypirc

[pypi]
  username = __token__
  password = pypi-...%

1. Run these commands

python setup.py sdist bdist_wheel
twine upload dist/*

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Structlog

In structlog, the event data should be passed as key-value pairs inside a dictionary so that the processors can modify the log event as needed.

Here's how you can fix this issue based on your provided log:

Incorrect Usage

You might be logging like this:

logger.info(f'result: {result}')

Correct Usage

You should structure your log message as a dictionary:

logger.info(event='result', result=result)

Here's a more detailed explanation and correct implementation:

Correcting the Logging Call

When using structlog, it's important to pass structured data as keyword arguments, not as formatted strings. Here's how you can update your logging statement:

logger.info('Operation completed', result=result)

In this corrected version:

• 'Operation completed' is a simple description of the event.

• result=result ensures that result is logged as a key-value pair in the structured log. This format allows structlog's processors to correctly manipulate and render the log data.

Structlog Configuration

Make sure your structlog is properly configured to handle structured logs. Here's a basic setup example:

import structlog

structlog.configure(
    processors=[
        structlog.processors.KeyValueRenderer(),
        structlog.stdlib.add_log_level,
        structlog.stdlib.PositionalArgumentsFormatter(),
    ],
    context_class=dict,
    logger_factory=structlog.stdlib.LoggerFactory(),
    wrapper_class=structlog.stdlib.BoundLogger,
    cache_logger_on_first_use=True,
)

logger = structlog.get_logger()

Using the Logger

With the correct setup, you can now log structured data, which is particularly useful for complex data types and when logs are ingested into log management systems that support querying and indexing structured data.

result = {'value': 42, 'status': 'ok'}  # Example result data
logger.info('Operation completed', result=result)

This structured approach ensures that each part of the data can be individually accessed and processed by the logging system or by any log management tool you might be using, enhancing the capability to filter and analyze logs.

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