Python Logging Configuration

This Python script provides a simple logging configuration with configurable options. It includes a class LOG that facilitates logging messages with different log levels, and a class LogConfig to set up the logging configuration.

Table of Contents

• Installation
• Usage
• Configuration
• Examples

Installation

No specific installation is required. Simply include the provided script in your project, and you can start using the logging functionality.

Usage

To use the logging functionality in your Python script, follow these steps:

1. Import the script:

   from logit import LOG, LogConfig

2. Create a LogConfig instance with desired configurations:

   log_config = LogConfig(headers=True, level='INFO', outputFile='MyLog.log')

3. Create a LOG instance with the LogConfig:

   logger = LOG(log_config)

4. Log messages using the log method:

   logger.log('INFO', 'This is an informational message.')

Configuration

LogConfig Class

The LogConfig class is used to configure the logging settings. It has the following parameters:

• headers: Boolean (default: False) - Whether to include headers in the log messages.
• level: String (default: 'DEBUG') - The logging level. Valid values are 'DEBUG', 'INFO', 'WARN', and 'ERROR'.
• outputFile: String (default: 'Default.log') - The name of the log file where the messages will be stored.

LOG Class

The LOG class is responsible for initializing the logging system and providing the log method to log messages. It takes a LogConfig instance as its configuration.

Examples

Example 1: Basic Logging

from logger import LOG, LogConfig

# Configure logging with default settings
log_config = LogConfig()
logger = LOG(log_config)

# Log a message
logger.log('INFO', 'This is an informational message.')
Example 2: Custom Configuration
python
Copy code
from logger import LOG, LogConfig

# Configure logging with custom settings
log_config = LogConfig(headers=True, level='WARN', outputFile='CustomLog.log')
logger = LOG(log_config)

# Log a warning message
logger.log('WARN', 'This is a warning message.')
Feel free to customize the LogConfig parameters to suit your project's logging requirements.