Introduction to Limiter in Python

The limiter module in Python is crucial for efficiently handling rate limiting in various applications, ensuring optimal performance and avoiding resource overuse. This guide will introduce you to the basic functionality of limiter and provide extensive API examples and an application demonstration to help you get started.

Basic Setup

  from limiter import Limiter

  limiter = Limiter(max_calls=10, period=60)  # Allows 10 calls per 60 seconds

  @limiter.limit
  def my_function():
      print("Function execution")

Customized Limits

  from limiter import Limiter

  limiter = Limiter()

  @limiter.limit(max_calls=5, period=30)  # Allows 5 calls per 30 seconds
  def my_custom_function():
      print("Custom function execution")

Dynamic Limits

   import random
   from limiter import Limiter

   def dynamic_rate_function():
       return random.randint(1, 10)

   limiter = Limiter(rate_func=dynamic_rate_function)

   @limiter.limit
   def dynamically_limited_function():
       print("Dynamically limited function")

Using Middleware

   from limiter import Limiter, Middleware

   limiter = Limiter()

   middleware = Middleware(limiter)

   @middleware
   def middleware_limited_function():
       print("Function execution with middleware")

Combination with Flask

Here’s how to integrate the limiter module with a Flask application to control the rate of requests more effectively.

   from flask import Flask
   from limiter import Limiter

   app = Flask(__name__)
   limiter = Limiter()

   @limiter.limit(max_calls=5, period=60)
   @app.route('/limited')
   def limited_route():
       return "This route is limited to 5 hits per minute."

   if __name__ == '__main__':
       app.run()

Handling Limits Globally

   from flask import Flask
   from limiter import Limiter

   app = Flask(__name__)
   limiter = Limiter(app, global_limit='100/minute')

   @app.route('/first')
   def first_route():
       return "First route"

   @app.route('/second')
   def second_route():
       return "Second route"

   if __name__ == '__main__':
       app.run()

Conclusion

The limiter module is an essential tool for managing and optimizing the performance of your Python applications by preventing overuse of resources. The examples provided should help you get started with implementing limiter in your projects effectively.

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