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A simple probabilistic counter.

Project description

A simple and efficient probabilistic counter, suited for rate limiting and counting efficiently, without uploading every action to the remote database.

Usage

Instructions

from probcount import ProbCounter
from functools import partial

pc = ProbCounter()

def old_increase_function(counter_name, value):
    # run the real call to the DB increasing the counter
    # for a redis
    # return redis.Redis().incrby(name=counter_name, amount=value)
    # or a MongoDB
    # return (pymongo.MongoClient().database_name.collection_name.find_one_and_update({"_id": counter_name},
                                                                                      {"$inc": {"value": value}},
                                                                                      {"value": 1}).get("value", 0) + value)
    pass

def old_get_function(counter_name):
    # run the real call to the DB increasing the counter
    # for a redis
    # redis.Redis().get(name=counter_name)
    # or a MongoDB
    # pymongo.MongoClient().database_name.collection_name.find_one({"_id": counter_name}, {"value": 1}).value
    pass


pc.create("name_of_counter", partial(old_increase_function, "name_of_counter"), partial(old_get_function, "name_of_counter"))
pc.inc("name_of_counter", 42.0)
pc.get("name_of_counter")

Supported Python Versions

Python Project Template supports the following versions out of the box:

  • CPython 2.6, 2.7, 3.3, 3.4, 3.5, 3.6, 3.7

  • PyPy 1.9

Authors

  • Tudor Aursulesei

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This version

0.1

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Source Distribution

probcount-0.1.tar.gz (17.3 kB view hashes)

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