logperformance 0.3.0

Classe que implementa um logger com funções de log performance, log error, log warning, log info, log debug, log critical, log alert, log emergency, log warning, log error, log critical, log alert, log emergency

LogPerformance

A Python logging utility class that provides performance monitoring, error tracking, and colored console output with file logging capabilities.

Class Overview

LogPerformance is a singleton class that implements a comprehensive logging system with the following features:

• Colored console output
• File logging with timestamp-based filenames
• Performance monitoring for functions
• Error tracking
• Warning messages
• Custom log levels

Methods

__new__(cls, *args, **kwargs)

Singleton pattern implementation that ensures only one instance of the class exists.

__init__(self)

Initializes the logger with:

• Colored console output handler
• File logging handler (if enabled)
• Custom log level configuration
• Directory creation for log files

check_exists_directory(work_directory: str) -> bool

Static method that checks if a directory exists.

create_directory(cls, work_directory: str) -> None

Class method that creates a directory if it doesn't exist and logs the creation.

log_performance(self, func: Callable) -> Callable

Decorator that measures and logs the execution time of a function.

• Logs function name, arguments, and execution time
• Returns the function's result

log_error(self, func: Callable) -> Callable

Decorator that catches and logs exceptions in a function.

• Logs the function name and error message
• Re-raises the exception after logging

log_warning(self, func: Callable) -> Callable

Decorator that logs warnings for function execution.

• Logs function name, arguments, and execution time
• Returns the function's result

info(self, msg: str) -> None

Logs an informational message with a smile emoji prefix.

warning(self, msg: str) -> None

Logs a warning message.

error(self, msg: str) -> None

Logs an error message with an exclamation mark emoji prefix.

_append_log_message(self, msg: str, level: int) -> None

Private method that appends log messages with timestamp and level.

• Handles debug level filtering
• Stores the last log message

Usage Example

from logger import LogPerformance

log = LogPerformance()

@log.log_performance
def example_function(arg1, arg2):
    # Your code here
    pass

@log.log_error
def error_prone_function():
    # Your code here
    pass

# Log messages
log.info("This is an info message")
log.warning("This is a warning")
log.error("This is an error")

Configuration

The logger can be configured using environment variables:

• LOG_LEVEL: Set to "DEBUG" for debug level logging
• DEBUG_WRITE_FILE: Set to "True" to enable file logging (default)