fusion-logger-python 1.1.1

Fusion Logger is a centralized logging framework that provides configurable log levels and dynamic scopes for fine-grained control over application logging. It features structured log records, flexible template-based formatting via tokens, and a fluent builder for easy logger configuration.

FusionLogger-Python

FusionLogger-Python is a centralized logging framework that provides configurable log levels and dynamic scopes for fine-grained control over application logging. It features structured log records, flexible template-based formatting via tokens, and a fluent builder for easy logger configuration.

Features

• Configurable Log Levels: Supports DEBUG, INFO, WARNING, and CRITICAL levels.
• Dynamic Scopes: Easily set and clear logging scopes for contextual logging.
• Flexible Formatting: Customizable output format via token-based formatting; define log formats and datetime formats through string parameters in the formatter constructor.
• Dual Logging Outputs: Supports both console and file logging (file mode: append).
• High Performance: Capable of processing approximately 3000 log messages per second.

Requirements

• Python Versions:
  • Developed under Python 3.12
  • Linted with PyLint under Python 3.8, 3.9, and 3.10
• External Dependencies: None

Installation

Install FusionLogger-Python via pip:

pip install fusion-logger-python

Usage

A simple usage example can be found in the provided TestBenchmark.py file. Here is a brief example of how to initialize and use the logger:

from fusion_logger_python import FusionLoggerBuilder, FusionLogLevel

# Build and configure the logger
logger = FusionLoggerBuilder()
.set_name("MyAppLogger")
.set_min_level(FusionLogLevel.DEBUG)
.write_to_file("app.log")
.build()

# Log messages at different levels
logger.debug("This is a debug message.")
logger.info("This is an info message.")
logger.warning("This is a warning message.")
logger.critical("This is a critical error message.")

Configuration

• Logging Levels:
  Set the minimum output level (e.g., DEBUG, INFO, WARNING, CRITICAL) using the fluent builder.

• Output Formats:
  Specify custom log output formats by passing a format string to the FusionLogFormatter constructor.
  Additionally, provide a custom datetime format string (using datetime.strftime() formatting) if desired.

• File Logging:
  The logger writes log entries to files in append mode. Simply add file paths via the builder methods.

Provided Components

• FusionLogger: Core logging class handling log message creation and processing.
• FusionLoggerBuilder: Fluent builder for easy and chainable logger configuration.
• FusionLogProcessor: Singleton-based processor for handling log records (work in progress for thread safety).
• FusionLogFormatter: Component to format log records based on templates.
• FusionLogRecord: Structured container for all log entry metadata.
• FusionLogLevel: Enum defining available log severity levels.

Performance & Best Practices

For best performance, initialize the logger during application startup. The token-based formatting approach is optimized for high throughput, achieving roughly 3000 messages per second. Note that while the processor's singleton implementation is designed for thread-safe operations, full thread safety is still a work in progress.

Known Issues

• There are currently no known bugs.

License

This project is licensed under the MIT License.

Additional Information

For further details, please refer to the pyproject.toml file which contains project metadata and hosting information (e.g., GitHub repository details).