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python-redis-rate-limit
Advanced tools
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This lib offers an abstraction of a Rate Limit algorithm implemented on top of Redis >= 2.6.0.
Supported Python Versions: 2.7, 3.6+
Example: 10 requests per second
.. code-block:: python
from redis_rate_limit import RateLimit, TooManyRequests
try:
with RateLimit(resource='users_list', client='192.168.0.10', max_requests=10):
return '200 OK'
except TooManyRequests:
return '429 Too Many Requests'
Example: using as a decorator
.. code-block:: python
from redis_rate_limit import RateLimit, TooManyRequests
@RateLimit(resource='users_list', client='192.168.0.10', max_requests=10)
def list_users():
return '200 OK'
try:
return list_users()
except TooManyRequests:
return '429 Too Many Requests'
Example: 600 requests per minute
.. code-block:: python
from redis_rate_limit import RateLimit, TooManyRequests
try:
with RateLimit(resource='users_list', client='192.168.0.10', max_requests=600, expire=60):
return '200 OK'
except TooManyRequests:
return '429 Too Many Requests'
Example: 100 requests per hour
.. code-block:: python
from redis_rate_limit import RateLimit, TooManyRequests
try:
with RateLimit(resource='users_list', client='192.168.0.10', max_requests=100, expire=3600):
return '200 OK'
except TooManyRequests:
return '429 Too Many Requests'
Example: you can also setup a factory to use it later
.. code-block:: python
from redis_rate_limit import RateLimiter, TooManyRequests
limiter = RateLimiter(resource='users_list', max_requests=100, expire=3600)
try:
with limiter.limit(client='192.168.0.10'):
return '200 OK'
except TooManyRequests:
return '429 Too Many Requests'
Example: you can also pass an optional Redis Pool
.. code-block:: python
import redis
from redis_rate_limit import RateLimit, TooManyRequests
redis_pool = redis.ConnectionPool(host='127.0.0.1', port=6379, db=0)
try:
with RateLimit(resource='users_list', client='192.168.0.10', max_requests=10, redis_pool=redis_pool):
return '200 OK'
except TooManyRequests:
return '429 Too Many Requests'
FAQs
Python Rate Limiter based on Redis.
We found that python-redis-rate-limit demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
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