{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/16"}],"enrichment":{"capability":"Provides a batteries-included logging setup combining Python's standard logging module with structlog to deliver both human-friendly console output and structured JSON logs for production environments.","skillfed_tags":["structured-logging","json-output","context-variables"],"use_cases":["Development environments where you want readable console logs with structured fields for debugging.","Kubernetes and containerized deployments where JSON-formatted logs integrate with log aggregation stacks.","Multi-module applications where you need request IDs or correlation IDs automatically attached to all logs within a scope.","CI/CD pipelines or long-running batch jobs where text-to-speech alerts for errors can provide immediate feedback.","Third-party library integration where you want consistent log formatting across your entire application."],"what_it_does":"macwinnie-enhanced-logging wraps Python's built-in logging module and structlog to provide a zero-boilerplate logging setup suitable for both development and production. It lets you configure logging once at application startup, then use a simple get_logger() call in any module to emit logs that are automatically routed through a unified handler. The package supports two output formats: human-friendly console logs (ideal for development) and structured JSON logs (ideal for log aggregation and observability platforms). It also provides context variables to attach fields like request IDs or job IDs to all logs within a scope, optional callsite information, and platform-specific text-to-speech for critical events.\n\nThe package's main dependency is structlog, which handles the structured logging layer while the standard logging module ensures that third-party libraries continue to work normally. Configuration is primarily environment-variable-driven, with sensible defaults that work out of the box. You can switch between human and JSON output, set log levels, enable UTC timestamps, and control optional features\u2014all without touching code.","worth_installing":"Yes, if you need structured logging with minimal boilerplate and want to switch between human and JSON output via environment variables. Low install friction and active maintenance are positive signals. However, exercise caution: the package is extremely new (first release 2026-03-04), has zero repository stars, and its license status is unclear. Verify the license from the GitHub repository before use in commercial projects, and consider waiting for wider adoption before relying on it in production."},"id":"macwinnie-enhanced-logging","links":{"html":"https://skillfed.io/packages/macwinnie-enhanced-logging","md":"https://skillfed.io/packages/macwinnie-enhanced-logging.md","pypi":"https://pypi.org/project/macwinnie-enhanced-logging/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-03-06","license_spdx":null,"license_treatment":"unclear","name":"macwinnie-enhanced-logging","python_support":"supports_current","summary":"Batteries-included logging for Python applications."},"popularity":{"monthly_downloads":119483,"position":12072,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.3"}