🔀⏳ Easy throttling with asyncio support

Overview

Throttler

Python PyPI License: MIT

Build Status codecov Codacy Badge

Zero-dependency Python package for easy throttling with asyncio support.

Demo

📝 Table of Contents

🎒 Install

Just

pip install throttler

🛠 Usage Examples

All run-ready examples are here.

Throttler and ThrottlerSimultaneous

Throttler:

Context manager for limiting rate of accessing to context block.

from throttler import Throttler

# Limit to three calls per second
t = Throttler(rate_limit=3, period=1.0)
async with t:
    pass

Or

import asyncio

from throttler import throttle

# Limit to three calls per second
@throttle(rate_limit=3, period=1.0)
async def task():
    return await asyncio.sleep(0.1)

ThrottlerSimultaneous:

Context manager for limiting simultaneous count of accessing to context block.

from throttler import ThrottlerSimultaneous

# Limit to five simultaneous calls
t = ThrottlerSimultaneous(count=5)
async with t:
    pass

Or

import asyncio

from throttler import throttle_simultaneous

# Limit to five simultaneous calls
@throttle_simultaneous(count=5)
async def task():
    return await asyncio.sleep(0.1)

Simple Example

import asyncio
import time

from throttler import throttle


# Limit to two calls per second
@throttle(rate_limit=2, period=1.0)
async def task():
    return await asyncio.sleep(0.1)


async def many_tasks(count: int):
    coros = [task() for _ in range(count)]
    for coro in asyncio.as_completed(coros):
        _ = await coro
        print(f'Timestamp: {time.time()}')

asyncio.run(many_tasks(10))

Result output:

Timestamp: 1585183394.8141203
Timestamp: 1585183394.8141203
Timestamp: 1585183395.830335
Timestamp: 1585183395.830335
Timestamp: 1585183396.8460555
Timestamp: 1585183396.8460555
...

API Example

import asyncio
import time

import aiohttp

from throttler import Throttler, ThrottlerSimultaneous


class SomeAPI:
    api_url = 'https://example.com'

    def __init__(self, throttler):
        self.throttler = throttler

    async def request(self, session: aiohttp.ClientSession):
        async with self.throttler:
            async with session.get(self.api_url) as resp:
                return resp

    async def many_requests(self, count: int):
        async with aiohttp.ClientSession() as session:
            coros = [self.request(session) for _ in range(count)]
            for coro in asyncio.as_completed(coros):
                response = await coro
                print(f'{int(time.time())} | Result: {response.status}')


async def run():
    # Throttler can be of any type
    t = ThrottlerSimultaneous(count=5)        # Five simultaneous requests
    t = Throttler(rate_limit=10, period=3.0)  # Ten requests in three seconds

    api = SomeAPI(t)
    await api.many_requests(100)

asyncio.run(run())

Result output:

1585182908 | Result: 200
1585182908 | Result: 200
1585182908 | Result: 200
1585182909 | Result: 200
1585182909 | Result: 200
1585182909 | Result: 200
1585182910 | Result: 200
1585182910 | Result: 200
1585182910 | Result: 200
...

ExecutionTimer

Context manager for time limiting of accessing to context block. Simply sleep period secs before next accessing, not analog of Throttler. Also it can align to start of minutes.

import time

from throttler import ExecutionTimer

et = ExecutionTimer(60, align_sleep=True)

while True:
    with et:
        print(time.asctime(), '|', time.time())

Or

import time

from throttler import execution_timer

@execution_timer(60, align_sleep=True)
def f():
    print(time.asctime(), '|', time.time())

while True:
    f()

Result output:

Thu Mar 26 00:56:17 2020 | 1585173377.1203406
Thu Mar 26 00:57:00 2020 | 1585173420.0006166
Thu Mar 26 00:58:00 2020 | 1585173480.002517
Thu Mar 26 00:59:00 2020 | 1585173540.001494

Timer

Context manager for pretty printing start, end, elapsed and average times.

import random
import time

from throttler import Timer

timer = Timer('My Timer', verbose=True)

for _ in range(3):
    with timer:
        time.sleep(random.random())

Or

import random
import time

from throttler import timer

@timer('My Timer', verbose=True)
def f():
    time.sleep(random.random())

for _ in range(3):
    f()

Result output:

#1 | My Timer | begin: 2020-03-26 01:46:07.648661
#1 | My Timer |   end: 2020-03-26 01:46:08.382135, elapsed: 0.73 sec, average: 0.73 sec
#2 | My Timer | begin: 2020-03-26 01:46:08.382135
#2 | My Timer |   end: 2020-03-26 01:46:08.599919, elapsed: 0.22 sec, average: 0.48 sec
#3 | My Timer | begin: 2020-03-26 01:46:08.599919
#3 | My Timer |   end: 2020-03-26 01:46:09.083370, elapsed: 0.48 sec, average: 0.48 sec

👨🏻‍💻 Author

Ramzan Bekbulatov:

💬 Contributing

Contributions, issues and feature requests are welcome!

📝 License

This project is MIT licensed.

You might also like...
asyncio (PEP 3156) Redis support

aioredis asyncio (PEP 3156) Redis client library. Features hiredis parser Yes Pure-python parser Yes Low-level & High-level APIs Yes Connections Pool

File support for asyncio

aiofiles: file support for asyncio aiofiles is an Apache2 licensed library, written in Python, for handling local disk files in asyncio applications.

Pytest support for asyncio.

pytest-asyncio: pytest support for asyncio pytest-asyncio is an Apache2 licensed library, written in Python, for testing asyncio code with pytest. asy

Tortoise ORM is an easy-to-use asyncio ORM  inspired by Django.
Tortoise ORM is an easy-to-use asyncio ORM inspired by Django.

Tortoise ORM was build with relations in mind and admiration for the excellent and popular Django ORM. It's engraved in it's design that you are working not with just tables, you work with relational data.

Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.
Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.

mtomo Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation.

Free and Open Source Group Voice chat music player for telegram ❤️ with button support youtube playback support
Free and Open Source Group Voice chat music player for telegram ❤️ with button support youtube playback support

Free and Open Source Group Voice chat music player for telegram ❤️ with button support youtube playback support

As easy as /aitch-tee-tee-pie/ 🥧 Modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more. https://twitter.com/httpie
As easy as /aitch-tee-tee-pie/ 🥧 Modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more. https://twitter.com/httpie

HTTPie: human-friendly CLI HTTP client for the API era HTTPie (pronounced aitch-tee-tee-pie) is a command-line HTTP client. Its goal is to make CLI in

Easy and comprehensive assessment of predictive power, with support for neuroimaging features
Easy and comprehensive assessment of predictive power, with support for neuroimaging features

Documentation: https://raamana.github.io/neuropredict/ News As of v0.6, neuropredict now supports regression applications i.e. predicting continuous t

Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.

dataset: databases for lazy people In short, dataset makes reading and writing data in databases as simple as reading and writing JSON files. Read the

As easy as /aitch-tee-tee-pie/ 🥧 Modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more. https://twitter.com/httpie
As easy as /aitch-tee-tee-pie/ 🥧 Modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more. https://twitter.com/httpie

HTTPie: human-friendly CLI HTTP client for the API era HTTPie (pronounced aitch-tee-tee-pie) is a command-line HTTP client. Its goal is to make CLI in

FastAPI extension that provides JWT Auth support (secure, easy to use, and lightweight)

FastAPI JWT Auth Documentation: https://indominusbyte.github.io/fastapi-jwt-auth Source Code: https://github.com/IndominusByte/fastapi-jwt-auth Featur

Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.

dataset: databases for lazy people In short, dataset makes reading and writing data in databases as simple as reading and writing JSON files. Read the

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries. An example o

一个多语言支持、易使用的 OCR 项目。An easy-to-use OCR project with multilingual support.

AgentOCR 简介 AgentOCR 是一个基于 PaddleOCR 和 ONNXRuntime 项目开发的一个使用简单、调用方便的 OCR 项目 本项目目前包含 Python Package 【AgentOCR】 和 OCR 标注软件 【AgentOCRLabeling】 使用指南 Pytho

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries. An example o

Easy and secure implementation of Azure AD for your FastAPI APIs 🔒 Single- and multi-tenant support.
Easy and secure implementation of Azure AD for your FastAPI APIs 🔒 Single- and multi-tenant support.

Easy and secure implementation of Azure AD for your FastAPI APIs 🔒 Single- and multi-tenant support.

Ultra fast asyncio event loop.
Ultra fast asyncio event loop.

uvloop is a fast, drop-in replacement of the built-in asyncio event loop. uvloop is implemented in Cython and uses libuv under the hood. The project d

A curated list of awesome Python asyncio frameworks, libraries, software and resources

Awesome asyncio A carefully curated list of awesome Python asyncio frameworks, libraries, software and resources. The Python asyncio module introduced

Comments
  • from source installation fails because `readme.md` is missing

    from source installation fails because `readme.md` is missing

    I'm running into the following when using pip install using the source tarball for throttle 0.2.2 obtained from PyPI:

        Running command python setup.py egg_info
        Traceback (most recent call last):
          File "<string>", line 1, in <module>
          File "/tmp/eb-pc17jo6j/pip-req-build-o1s1r0pd/setup.py", line 43, in <module>
            long_description=read('readme.md'),
          File "/tmp/eb-pc17jo6j/pip-req-build-o1s1r0pd/setup.py", line 10, in read
            with open(filename, encoding='utf-8') as file:
        FileNotFoundError: [Errno 2] No such file or directory: 'readme.md'
    WARNING: Discarding file:///tmp/vsc40023/easybuild_build/snakemake/7.18.2/foss-2021b/throttler/throttler-1.2.1. Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.
    ERROR: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.
    

    The problem is that readme.md is not included in the source tarball.

    opened by boegel 5
Releases(v1.2.2)
Owner
Ramzan Bekbulatov
Software Engineer
Ramzan Bekbulatov
Lightning FastAPI

Lightning FastAPI Lightning FastAPI framework, provides boiler plates for FastAPI based on Django Framework Explaination / | │ manage.py │ README.

Rajesh Joshi 1 Oct 15, 2021
Repository for the Demo of using DVC with PyCaret & MLOps (DVC Office Hours - 20th Jan, 2022)

Using DVC with PyCaret & FastAPI (Demo) This repo contains all the resources for my demo explaining how to use DVC along with other interesting tools

Tezan Sahu 6 Jul 22, 2022
A comprehensive CRUD API generator for SQLALchemy.

FastAPI Quick CRUD Introduction Advantage Constraint Getting started Installation Usage Design Path Parameter Query Parameter Request Body Upsert Intr

192 Jan 06, 2023
🚀 Cookiecutter Template for FastAPI + React Projects. Using PostgreSQL, SQLAlchemy, and Docker

FastAPI + React · A cookiecutter template for bootstrapping a FastAPI and React project using a modern stack. Features FastAPI (Python 3.8) JWT authen

Gabriel Abud 1.4k Jan 02, 2023
Dead simple CSRF security middleware for Starlette ⭐ and Fast API ⚡

csrf-starlette-fastapi Dead simple CSRF security middleware for Starlette ⭐ and Fast API ⚡ Will work with either a input type="hidden" field or ajax

Nathaniel Sabanski 9 Nov 20, 2022
Lazy package to start your project using FastAPI✨

Fastapi-lazy 🦥 Utilities that you use in various projects made in FastAPI. Source Code: https://github.com/yezz123/fastapi-lazy Install the project:

Yasser Tahiri 95 Dec 29, 2022
FastAPI native extension, easy and simple JWT auth

fastapi-jwt FastAPI native extension, easy and simple JWT auth

Konstantin Chernyshev 19 Dec 12, 2022
A server hosts a FastAPI application and multiple clients can be connected to it via SocketIO.

FastAPI_and_SocketIO A server hosts a FastAPI application and multiple clients can be connected to it via SocketIO. Executing server.py sets up the se

Ankit Rana 2 Mar 04, 2022
Opinionated authorization package for FastAPI

FastAPI Authorization Installation pip install fastapi-authorization Usage Currently, there are two models available: RBAC: Role-based Access Control

Marcelo Trylesinski 18 Jul 04, 2022
CLI and Streamlit applications to create APIs from Excel data files within seconds, using FastAPI

FastAPI-Wrapper CLI & APIness Streamlit App Arvindra Sehmi, Oxford Economics Ltd. | Website | LinkedIn (Updated: 21 April, 2021) fastapi-wrapper is mo

Arvindra 49 Dec 03, 2022
A Flask extension that enables or disables features based on configuration.

Flask FeatureFlags This is a Flask extension that adds feature flagging to your applications. This lets you turn parts of your site on or off based on

Rachel Greenfield 131 Sep 26, 2022
Easily integrate socket.io with your FastAPI app 🚀

fastapi-socketio Easly integrate socket.io with your FastAPI app. Installation Install this plugin using pip: $ pip install fastapi-socketio Usage To

Srdjan Stankovic 210 Dec 23, 2022
FastAPI interesting concepts.

fastapi_related_stuffs FastAPI interesting concepts. FastAPI version :- 0.70 Python3 version :- 3.9.x Steps Test Django Like settings export FASTAPI_S

Mohd Mujtaba 3 Feb 06, 2022
An extension library for FastAPI framework

FastLab An extension library for FastAPI framework Features Logging Models Utils Routers Installation use pip to install the package: pip install fast

Tezign Lab 10 Jul 11, 2022
Cube-CRUD is a simple example of a REST API CRUD in a context of rubik's cube review service.

Cube-CRUD is a simple example of a REST API CRUD in a context of rubik's cube review service. It uses Sqlalchemy ORM to manage the connection and database operations.

Sebastian Andrade 1 Dec 11, 2021
A fast and durable Pub/Sub channel over Websockets. FastAPI + WebSockets + PubSub == ⚡ 💪 ❤️

⚡ 🗞️ FastAPI Websocket Pub/Sub A fast and durable Pub/Sub channel over Websockets. The easiest way to create a live publish / subscribe multi-cast ov

8 Dec 06, 2022
Asynchronous event dispatching/handling library for FastAPI and Starlette

fastapi-events An event dispatching/handling library for FastAPI, and Starlette. Features: straightforward API to emit events anywhere in your code ev

Melvin 238 Jan 07, 2023
Fast, simple API for Apple firmwares.

Loyal Fast, Simple API for fetching Apple Firmwares. The API server is closed due to some reasons. Wait for v2 releases. Features Fetching Signed IPSW

11 Oct 28, 2022
Learn to deploy a FastAPI application into production DigitalOcean App Platform

Learn to deploy a FastAPI application into production DigitalOcean App Platform. This is a microservice for our Try Django 3.2 project. The goal is to extract any and all text from images using a tec

Coding For Entrepreneurs 59 Nov 29, 2022
🐍Pywork is a Yeoman generator to scaffold a Bare-bone Python Application

Pywork python app yeoman generator Yeoman | Npm Pywork | Home PyWork is a Yeoman generator for a basic python-worker project that makes use of Pipenv,

Vu Tran 10 Dec 16, 2022