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https://github.com/crowdstrike/cs.ratelimit


https://github.com/crowdstrike/cs.ratelimit

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# cs.ratelimit

This provides a threadsafe configurable rate limiter to a Python callable.

It's easy to create a rate limited function
```python
>>> from datetime import datetime, timedelta
>>> from cs import ratelimit
>>> @ratelimit.ratelimited(max_count=1, interval=timedelta(seconds=1), block=False)
... def my_func():
... pass
>>> my_func()
>>> try:
... my_func()
... except ratelimit.RateLimitExceeded:
... print(u"Too fast!")
Too fast!
```
We can just as easily make it a blocking rate limiter
```python
>>> @ratelimit.ratelimited(max_count=1, interval=timedelta(seconds=1), block=True)
... def my_func():
... pass
>>> my_func()
>>> my_func() # blocks, doesn't raise

```

It's also easy to create a class-level rate limited method
```python
>>> class MyClass1:
... @ratelimit.ratelimitedmethod(max_count=1, interval=timedelta(seconds=1), block=False)
... def my_method(self):
... pass
>>> instance1 = MyClass1()
>>> instance2 = MyClass1()
>>> instance1.my_method()
>>> try:
... instance2.my_method()
... except ratelimit.RateLimitExceeded:
... print(u"Too fast!")
Too fast!
```

A more advanced use case is per-instance limiters
```python
>>> from operator import attrgetter
>>> class MyClass2:
... def __init__(self):
... self.rl = ratelimit.RateLimitProperties(max_count=1,
... interval=timedelta(seconds=1),
... block=False)
... @ratelimit.ratelimitedmethod(attrgetter('rl'))
... def my_method(self):
... pass
>>> instance1 = MyClass2()
>>> instance2 = MyClass2()

The rate limiters in these instances are independent
>>> instance1.my_method()
>>> instance2.my_method()
>>> try:
... instance1.my_method()
... except ratelimit.RateLimitExceeded:
... print(u"Too fast!")
Too fast!
```
They can also be updated at any time
```python
>>> with instance2.rl.rlock: #needed in threaded environments
... instance2.rl.max_count = 2
>>> instance2.my_method()

```

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