Add comprehensive feature comparison documentation for Python logging compatibility#7
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Add comprehensive feature comparison documentation for Python logging compatibility#7
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## Benchmark Results Comprehensive file I/O performance comparison on Python 3.12.12: - **LogXide**: 428,221 ops/sec (FASTEST) - **Picologging**: 363,422 ops/sec (-15%) - **Python logging**: 155,366 ops/sec (-64%) - **Structlog**: 174,164 ops/sec (-59%) ### Key Findings - **17.8% faster** than Picologging (C-based) - **2.76x faster** than standard Python logging - **2.46x faster** than Structlog ### Changes - Add BENCHMARK_SUMMARY.md with complete comparison - Update README.md with Python 3.12 benchmark table - Enhance benchmark/compare_loggers.py with stdlib support - Add subprocess-based testing for Python logging - Include comprehensive docstrings and comments - Archive old benchmark files - Update .gitignore for benchmark data management ### Migration Benefits Applications using standard library logging can achieve **2.7x performance improvement** by changing one import line: ```python # Before import logging # After from logxide import logging ``` Zero code changes required - drop-in replacement with massive performance gains. Test configuration: - Platform: macOS ARM64 - Python: 3.12.12 - Iterations: 100,000 per test - Real file I/O with FileHandler
- Remove unused dependencies and imports (tokio, crossbeam, tracing, lazy_static) - Remove unused static variables and clean up 25+ compiler warnings - Remove async/Tokio runtime architecture; switch to direct handler calls for performance - FileHandler now flushes after each write for reliable logging - Fix unused variable and mut warnings in handler registration - Add `python-handlers` feature flag; PythonHandler disabled by default - Update README and documentation to clarify handler support and architecture - Update benchmarks and compatibility tests to reflect Rust-native handler usage - Remove deprecated/unsupported handler tests and files - Bump version to 0.1.3 in all metadata files
- Fix all ruff lint errors (import sorting, unused variables, bare except, etc.) - Apply ruff formatting to 12 files - Add --locked flag to cargo-audit installation to fix version compatibility
Fix CI lint and security audit failures
- Fix StreamHandler self-reference in module_system.py by using alias - Fix _effective_level type annotation in fast_logger_wrapper.py (initialize as int=0 instead of None to avoid type narrowing issues)
Fix pyright type errors
- Apply cargo fmt to fix Rust code formatting - Add #[allow(deprecated)] to PythonHandler impl blocks to suppress deprecated warnings in clippy with -D warnings
Claude/fix GitHub actions nfr cd
…remove deprecated PythonHandler
- Add wrapped_setLevel to sync level changes from std logger to Rust PyLogger - Add Filter class, captureWarnings, makeLogRecord and other missing compat functions - Add module-level logging functions (info, debug, warning, etc.) - Clean up ~250 lines of dead code in module_system.py - Remove debug prints from Rust code - Add BufferedHTTPHandler test with authentication headers
- Transform Callback: Python callable for custom JSON transformation - Global Context: Auto-inject metadata (app_name, env) to all records - Extra Fields: Support complex types (int, dict, list) via serde_json::Value - Manual Flush: Explicit buffer flush and graceful shutdown - Dynamic Context Provider: Callable executed per batch for dynamic fields - Error Callback: Custom handling for HTTP failures
- Add PercentStyle, StrFormatStyle, StringTemplateStyle classes (pytest requires these) - Fix StreamHandler.emit() to actually write to stream (was no-op) - Make LogRecord/Handler subclassable via pure Python wrappers - Add LOGXIDE_DISABLE_AUTO_INSTALL env var to opt-out of auto-patching - Add _STYLES dict and BASIC_FORMAT constant for full logging compat
LogRecord stays as Rust type (not subclassable) - performance over compatibility. Auto-patching is intended behavior, no opt-out needed.
- Update README to clearly state performance over compatibility - Add compatibility table for supported/unsupported features - Add third-party library compatibility matrix - Document that LogRecord/Logger are not subclassable (Rust types)
…ndler to HTTPHandler - Rename BufferedHTTPHandler to HTTPHandler for consistency with other handlers - Add OTLPHandler implementing OpenTelemetry Protocol (OTLP) v1 for logs - Add prost and opentelemetry-proto dependencies for protobuf serialization - Update documentation and tests to reflect naming changes
…s, and CI environment - Switch opentelemetry-proto to 'tonic' feature to use pre-generated code and avoid protoc dependency - Fix clippy warnings in OTLPHandler (use std::mem::take instead of drain/collect) - Update CI configuration to include PYO3_USE_ABI3_FORWARD_COMPATIBILITY=1 for Python 3.14 - Fix compatibility issues with Sentry SDK by adding level argument to Handler.__init__ and callHandlers to PyLogger - Restore _auto_configure_sentry in module_system.py for test compatibility
…ibility - Implement callback logic in emit_record to call Python handlers - Allow registration of non-Rust handlers to keep compatibility with pytest's caplog and Sentry - Ensure zero performance impact when no Python handlers are registered (cheap empty check)
… mechanism - Fix LogRecord creation for Python compatibility - Enable local and global Python handler support in PyLogger - Verified end-to-end integration with standard Python logging handlers
… log capture in tests - Implement MemoryHandler in Rust to avoid GIL bottlenecks during tests - Expose MemoryHandler to Python for easy integration with pytest - Achieved performance of over 170k logs/sec during capture
Co-authored-by: Indosaram <47408490+Indosaram@users.noreply.github.com>
Co-authored-by: Indosaram <47408490+Indosaram@users.noreply.github.com>
Co-authored-by: Indosaram <47408490+Indosaram@users.noreply.github.com>
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[WIP] Verify if Logxide offers all features of python std logging
Add comprehensive feature comparison documentation for Python logging compatibility
Feb 7, 2026
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Documented Logxide's feature coverage against Python's standard logging module to help users determine compatibility for their use cases.
Analysis Scope
Compared Logxide implementation against all Python logging components:
Key Findings
Core Features: ~78-83% coverage
Logxide-exclusive features: OTLPHandler, 2.7x faster I/O, Sentry integration
Documentation Added
PYTHON_LOGGING_FEATURE_COMPARISON.md- Detailed feature matrix with support statusFEATURE_ANALYSIS_SUMMARY.md/FEATURE_ANALYSIS_SUMMARY_KR.md- Usage recommendationsUsage Guidance
Use Logxide when: High performance needed, basic file/console/HTTP logging, modern stack (OTLP, Sentry)
Use stdlib logging when: Network handlers required (SysLog, Socket, SMTP), time-based rotation, QueueHandler for multiprocessing, LoggerAdapter
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