Reference library

Reliability & rate limiting

Retries, exponential backoff, circuit breakers, token buckets, and idempotent handlers.

9 matches
Reliability & rate limiting easy

Build a Rate Limiter Decorator in Python

This code defines a reusable rate limiter decorator that caps function calls within a sliding time window using a deque and monotonic time.

rate-limiting decorator time
Python
import time
from collections import deque


def rate_limiter(max_calls: int, period: float):
    calls = deque()

    def decorator(func):
        def wrapper(*args, **kwargs):
            now = time.monotonic()
            while calls and now - calls[0] >= period:
                calls.popleft()
            if len(ca…
13 0 Open
Reliability & rate limiting easy

Build a queue-based admission control system in Python

Implement a simple bounded-queue admission controller that accepts or rejects incoming requests based on current queue capacity.

admission-control queue rate-limiting
Python
from collections import deque
import time


class AdmissionControl:
    """Simple admission control using a bounded queue.

    Requests arrive at the queue; they are admitted in FIFO order.
    If the queue is full, the incoming request is rejected.
    """

    def __init__(self, capacity: int):
        self.capacit…
16 0 Open
Reliability & rate limiting easy

How to Build a Rate Limiter in Python

A beginner-friendly token bucket rate limiter with retry logic for handling API rate limits in Python.

rate-limiting token-bucket retry
Python
import time
import random

class RateLimiter:
    """Simple token bucket rate limiter for beginners."""
    
    def __init__(self, max_tokens=5, refill_rate=1.0):
        self.max_tokens = max_tokens
        self.tokens = max_tokens
        self.refill_rate = refill_rate  # tokens per second
        self.last_refill …
15 0 Open
Reliability & rate limiting easy

How to Build a Rate Limiter in Python

Implements a simple sliding-window rate limiter that caps the number of calls per period, used to throttle processing of a data list.

rate-limiting time sliding-window
Python
import time

class RateLimiter:
    def __init__(self, max_calls, period):
        self.max_calls = max_calls
        self.period = period
        self.timestamps = []

    def allow(self):
        now = time.time()
        self.timestamps = [t for t in self.timestamps if now - t < self.period]
        if len(self.tim…
14 0 Open
Reliability & rate limiting medium

How to Cap Retry Attempts in Python with a Decorator

Build a reusable retry decorator that caps attempts, adds delays, and lets flaky services fail fast instead of hanging.

retry decorator resilience
Python
import random
from functools import wraps
from time import sleep


def retry(max_attempts, delay=0.1):
    def decorator(func):
        @wraps(func)
        def wrapper(*args, **kwargs):
            attempts = 0
            while attempts < max_attempts:
                try:
                    return func(*args, **kw…
13 0 Open
Reliability & rate limiting easy

How to Implement a Temporary Block in Python

Build a reusable PenaltyBox class that temporarily blocks access after a failure and reports remaining lockout time.

rate-limiting penalty-box lockout
Python
class PenaltyBox:
    def __init__(self, block_seconds: int = 30):
        self.block_seconds = block_seconds
        self._blocked_until = 0.0
        self._attempts = 0

    def try_access(self, current_time: float) -> bool:
        if self._blocked_until and current_time < self._blocked_until:
            return Fa…
14 0 Open
Reliability & rate limiting medium

How to Implement an Adaptive Rate Limiter in Python

Build an adaptive rate limiter that adjusts request intervals dynamically based on recent error rates, slowing down when failures spike.

rate-limiting backoff adaptive
Python
import time
import random

class AdaptiveRateLimiter:
    """Simple adaptive rate limiter that reduces requests when error rate is high."""
    
    def __init__(self, min_interval=0.1, max_interval=2.0, error_threshold=0.3):
        self.min_interval = min_interval
        self.max_interval = max_interval
        sel…
12 0 Open
Reliability & rate limiting easy

How to implement an idempotency key store in Python

Build an in-memory idempotency key store with TTL that processes a request once and reuses the cached result for duplicate calls.

idempotency cache ttl
Python
import hashlib
import time
from typing import Dict, Optional


class IdempotencyStore:
    """Simple in-memory idempotency key store with mock processing."""

    def __init__(self, ttl_seconds: int = 3600) -> None:
        self.ttl = ttl_seconds
        self._store: Dict[str, tuple[str, float]] = {}

    def _is_expi…
15 0 Open
Reliability & rate limiting easy

How to implement rate limiting in Python

Build a simple sliding-window rate limiter in Python that enforces a max number of calls per time period and formats data with timestamps.

rate-limiting time sliding-window
Python
import time

class RateLimiter:
    def __init__(self, max_calls, period):
        self.max_calls = max_calls
        self.period = period
        self.calls = []
    
    def allow(self):
        now = time.time()
        # Remove calls older than the period window
        self.calls = [t for t in self.calls if now -…
17 0 Open

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Reliability & rate limiting — Python code examples

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