flowguard 0.1.3

Rate limiting library for Python with sync/async support

Flowguard

Flowguard is a rate limiting library for Python. It provides both synchronous (RateLimiter) and asynchronous (AsyncRateLimiter) classes to manage request rates with flexible time windows (seconds, minutes, hours, days) and optional burst limits.

Features

• Synchronous and Asynchronous Support: Use RateLimiter for blocking operations or AsyncRateLimiter for async/await workflows.
• Customizable Time Windows: Set rate limits per second, minute, hour, or day, with configurable window durations.
• Burst Limiting: Optional maximum burst capacity to control maximum concurrent requests.
• Thread-Safe and Interruptible: Built with atomic operations and mutexes for safe concurrent use.
• Context Manager Support: For automatic resource management.
• Use as a Decorator: For clean and concise rate limiting.

Installation

Flowguard is available as a Python package. Install it using pip:

pip install flowguard

Ensure you have a compatible Python version (3.8 or higher) installed.

Parameters

• sec, min, hour, day: Rate limits for respective time units.
• sec_window, min_window, hour_window, day_window: Custom window durations (in seconds) for respective units. Default is 1.
• blocking: Default True (For using as a context manager). if False, returns immediately if no permit is available.
• max_burst: Optional maximum number of concurrent permits allowed.

Usage

Asynchronous Rate Limiter Example ::

import asyncio
import logging
from flowguard import AsyncRateLimiter

logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s.%(msecs)03d %(levelname)s: %(message)s',
    datefmt='%Y-%m-%d %H:%M:%S'
)

logger = logging.getLogger(__name__)


async def explicit_example(i, limiter):
    await limiter.acquire()
    logger.info(f"Permit acquired for {i}")
    # Simulate work 
    await asyncio.sleep(1)
    await limiter.release()

async def context_manager_example(i, limiter):
    async with limiter:
        logger.info(f"Permit acquired for {i}")

@AsyncRateLimiter(sec=5, max_burst=3, sec_window= 2)
async def decorator_example(i):
    logger.info(f"Permit acquired for {i}")

async def main():
    limiter = AsyncRateLimiter(sec=10)

    print("\n", "Explicit Example".center(60, "="), "\n")
    explicit_tasks = [
        explicit_example(i, limiter) 
        for i in range(15)  
    ]

    await asyncio.gather(*explicit_tasks)

    print("\n", "Context Manager Example".center(60, "="), "\n")
    burst_limiter = AsyncRateLimiter(sec=5, max_burst=3, sec_window= 2)
    
    burst_tasks = [
        context_manager_example(f"burst-{i}", burst_limiter)
        for i in range(15)  
    ]
    
    await asyncio.gather(*burst_tasks)

    print("\n", "Decorator Example".center(60, "="), "\n")
    
    tasks = [
        decorator_example(i) for i in range(15)  
    ]
    
    await asyncio.gather(*tasks)
    

if __name__ == "__main__":
    asyncio.run(main())

Synchronous Rate Limiter Example ::

import logging
import threading
from time import sleep
from flowguard import RateLimiter

logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s.%(msecs)03d %(levelname)s: %(message)s',
    datefmt='%Y-%m-%d %H:%M:%S'
)

logger = logging.getLogger(__name__)

def non_blocking_example(i, limiter):
    permit = limiter.acquire()
    if permit:
        logger.info(f"Permit acquired for {i}.")
        # Simulate work ::
        sleep(1)
        limiter.release()
    else:
        logger.info("No permit is available.")
        # Here we can do other task when no immediate permit is available

def context_manager_example(i, limiter):
    with limiter:
        logger.info(f"Permit acquired for {i}.")
        # Simulate work ::
        sleep(1)

def explicit_example(i, limiter):
    # This call will block until it gets a permit
    permit = limiter.acquire()
    if permit:
        logger.info(f"Permit acquired for {i}")
        # Simulate work
        sleep(1)
        limiter.release()

@RateLimiter(sec=3, min=5, sec_window=3, max_burst=2)
def decorator_example(i):
    logger.info(f"Permit acquired for {i}")
    # Simulate work
    sleep(1)

def main():
    # This will create a ratelimiter instance with 3 req/2 sec and 15 req/min with a max allowed concurrent req = 2
    blocking_limiter = RateLimiter(sec= 3, min= 15, sec_window=2, max_burst= 2)
    non_blocking_limiter = RateLimiter(sec= 3, min= 15, sec_window=2, max_burst= 2, blocking=False)
    
    print("Blocking Limiter".center(60, "="), "\n")    
    print("Using Context Manager".center(60, "="), "\n")

    threads = []

    for i in range(30):
        t = threading.Thread(target=context_manager_example, args=(i, blocking_limiter), daemon= True)
        threads.append(t)
        t.start()
    
    # Waiting for the work to finish oktherwise both function output will be mixed
    for t in threads:
        t.join()

    blocking_limiter = RateLimiter(sec= 3, min= 15, sec_window=2, max_burst= 2)
    
    print("\n", "Explicit acquire/ release".center(60, "="), "\n")

    threads = []

    for i in range(30):
        t = threading.Thread(target=explicit_example, args=(i, blocking_limiter), daemon= True)
        threads.append(t)
        t.start()

    for t in threads:
        t.join()

    print("\n", "Non-Blocking Mode".center(60, "="), "\n")

    threads = []

    for i in range(30):
        t = threading.Thread(target=non_blocking_example, args=(i, non_blocking_limiter), daemon= True)
        threads.append(t)
        t.start()
        # Without the sleep it will give permit = max_burst count and all other threads will failed to acquire any permit
        sleep(.1)
    
    for t in threads:
        t.join()
    
    print("\n", "Using as a Decorator".center(60, "="), "\n")

    threads = []

    for i in range(30):
        t = threading.Thread(target=decorator_example, args=(i, ), daemon= True)
        threads.append(t)
        t.start()
    
    for t in threads:
        t.join()

if __name__ == "__main__":
    main()

License

Flowguard is licensed under the MIT License. See the LICENSE file for details.

Contributing

Contributions are welcome! Feel free to submit pull requests, report issues, or suggest improvements.