Welcome to NoiseLogger

Noiselogger is an innovative library designed for efficient logging of noise occurrences in various environments. It is precisely built to cater to developers who seek robust and easy-to-use logging mechanisms. Below, we delve into the world of Noiselogger and explore its powerful APIs with comprehensive examples.

Getting Started with Noiselogger

To install Noiselogger, you can use pip:

pip install noiselogger

Basic Example

Here’s a simple illustration of how to use Noiselogger:

from noiselogger import NoiseLogger
logger = NoiseLogger('first_logger') logger.log('This is a test message.') 

API Reference

Noiselogger comes with a variety of APIs to help you manage noise data effectively. Below are some key API examples:

Create a Logger

To create a new logger:

logger = NoiseLogger('my_logger')

Log Messages

The primary function of the logger is to log messages. Here’s how:

logger.log('Noise detected!')

Log Levels

You can specify different log levels:

logger.log('Debug message', level='DEBUG') logger.log('Info message', level='INFO') logger.log('Warning message', level='WARNING') logger.log('Error message', level='ERROR') logger.log('Critical message', level='CRITICAL') 

Fetch Recent Logs

To retrieve the most recent logs:

recent_logs = logger.get_recent_logs() for log in recent_logs: print(log) 

Log Noise Statistics

This feature allows you to log noise statistics like its decibel levels.

logger.log_statistics(decibel_level=65, timestamp='2023-09-10 12:00:00')

Configure Logger

Customize the configuration as per your needs:

logger.configure({'level': 'INFO', 'output': 'console'})

Real World Application Example

Let’s consider a real-world example where you might use Noiselogger in an application that monitors noise levels in a factory:

from noiselogger import NoiseLogger
class FactoryMonitor: def __init__(self): self.logger = NoiseLogger('factory_noise_monitor')
def monitor_noise_level(self, decibel_level): self.logger.log(f'Noise detected at {decibel_level}dB') if decibel_level > 80: self.logger.log('Warning! Noise level exceeds the safe limit.', level='WARNING') self.logger.log_statistics(decibel_level=decibel_level)
def display_log_summary(self): recent_logs = self.logger.get_recent_logs() for log in recent_logs: print(log)
monitor = FactoryMonitor() monitor.monitor_noise_level(85) monitor.display_log_summary() 

Conclusion

Noiselogger provides a powerful yet simple to use logging mechanism that can be indispensable in an array of applications. Its flexibility and depth make it a must-have tool for developers needing to manage noise data efficiently.

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