Rate Limit Error Responses
📖 Scenario: You are building a simple REST API that limits how many requests a user can make in a short time. If the user sends too many requests, the API should respond with a clear error message and status code.
🎯 Goal: Create a basic API endpoint that tracks request counts per user and returns a rate limit error response when the limit is exceeded.
📋 What You'll Learn
Create a dictionary called
request_counts to store user request counts.Create a variable called
MAX_REQUESTS and set it to 3.Write a function called
check_rate_limit(user_id) that increases the count for the user and returns True if under limit, False if limit exceeded.Print the error response
{"error": "Rate limit exceeded", "status": 429} when the limit is exceeded.💡 Why This Matters
🌍 Real World
APIs often limit how many requests a user can make to protect servers and ensure fair use.
💼 Career
Understanding rate limiting is important for backend developers and API designers to build reliable and secure services.
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