Welcome to noiselogger: Comprehensive API Guide

noiselogger is a robust and versatile logging library designed to help developers capture and analyze noise data. In this detailed guide, we’ll explore dozens of noiselogger APIs and provide code snippets to illustrate their usage. Whether you’re building a new app or enhancing an existing one, noiselogger offers the tools you need to manage noise data effectively.

Getting Started with noiselogger

First, install noiselogger in your project:

    pip install noiselogger
  

Initialization

Initialize noiselogger in your project:

    
      from noiselogger import NoiseLogger

      logger = NoiseLogger()
    
  

API Examples

Logging Noise Data

Create a noise log entry:

    
      logger.log_noise("Background noise level", 75)
    
  

Custom Tags

Log noise data with custom tags:

    
      logger.log_noise("Traffic noise", 85, tags=["traffic", "urban"])
    
  

Time-based Logging

Log noise data with timestamp:

    
      from datetime import datetime

      logger.log_noise("Construction noise", 90, timestamp=datetime.now())
    
  

Threshold Warnings

Set a threshold warning for noise levels:

    
      logger.set_threshold("Alarm", 80)
      logger.log_noise("Factory noise", 85)
    
  

Advanced Usage

Combine multiple APIs for advanced noise logging:

    
      logger.set_threshold("Warning", 75)
      logger.log_noise("Office noise", 60)
      logger.log_noise("Conference noise", 78)
      logger.log_noise("Emergency noise", 85, tags=["emergency"])
    
  

App Example

Noise Monitoring App

Let’s build a simple noise monitoring app using noiselogger APIs:

    
      from noiselogger import NoiseLogger
      from datetime import datetime

      class NoiseMonitoringApp:
          def __init__(self):
              self.logger = NoiseLogger()
              self.logger.set_threshold("Warning", 75)

          def log_environment(self, noise_type, level):
              timestamp = datetime.now()
              self.logger.log_noise(noise_type, level, timestamp=timestamp)
              print(f"Logged {noise_type} at level {level} dB at {timestamp}")

      app = NoiseMonitoringApp()
      app.log_environment("Ambient noise", 65)
      app.log_environment("Traffic noise", 80)
    
  

This example demonstrates how to integrate various noiselogger APIs to create a functional noise monitoring application. Customize the app further to suit your specific use case.

Happy logging with noiselogger!

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