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Asynchronous HTTP library.

Project description

Aioreq is a Python low-level asynchronous HTTP client library. It is built on top of TCP sockets and implements the HTTP protocol entirely on his own.


Documentation

Click here

Install

$ pip install aioreq

Usage

Basic usage


>>> import aioreq
>>> import asyncio
>>>
>>> cl = aioreq.Client()
>>>
>>> resp = asyncio.run(
>>>	cl.get('https://www.google.com')
>>>	)
>>> resp
<Response 200 OK>
>>> resp.status
200
>>> resp.status_message
'OK'
>>> resp.request
<Request GET https://www.google.com>
>>> headers = resp.headers # dict
>>> body = resp.body # bytes object

Alternatively, the best practice is to use a Context manager.

import aioreq
import asyncio

async def main():
        async with aioreq.Client() as cl:
                await cl.get('https://google.com')

More advanced usage


This code will asynchronously send 100 get requests to google.com, which is much faster than synchronous libraries.

>>> import asyncio
>>> import aioreq
>>>
>>> async def main():
>>>    async with aioreq.http.Client() as cl:
>>>        tasks = []
>>>        for j in range(100):
>>>            tasks.append(
>>>		            asyncio.create_task(
>>>		  	        cl.get('https://www.google.com/', )
>>>                             )
>>> 			    )
>>>        await asyncio.gather(*tasks)
>>>
>>> asyncio.run(main())

Streams


We occasionally use the HTTP protocol to download videos, photos, and possibly files. When downloading very large files, Stream must be used instead of the default Client. When a client downloads videos or files, the server responds with all information including headers, status code, status message, and full body, which can be very large. As a result, we cannot store it in RAM. Stream only returns a portion of the body per iteration, allowing us to write it to disk, then receive another portion and solve the ram overflow problem.

There is some fundamental Stream usage.

>>> import aioreq
>>> import asyncio
>>> 
>>> async def main():
>>>        local_file = open('test', 'wb')
>>>        async with aioreq.StreamClient() as cl:
>>>                # This code iterates through the message and yields each received chunk separately.
>>>                async for chunk in cl.get('https://pathtoverybigfile.aioreq'):
>>>                        local_file.write(chunk)

Benchmarks

Aioreq is a very fast library, and we compared it to other Python libraries to demonstrate its speed.

I used these libraries to compare speed.


Benchmark run

First, clone aioreq repository.

Then...

$ cd aioreq
$ python -m venv venv
$ source ./venv/bin/activate
$ pip install '.[benchmarks]'
$ cd benchmarks
$ python run_tests_functions.py

Benchmark results

This is the average execution time of each library for 200 asynchronous requests where responses was received without chunked transfer encoding.

Benchmark settings.

With Content-Length

$ cd becnhmarks
$ python run_tests_functions.py
========================
Benchmark settings
        Async lib test requests count : 200
        Sync lib test requests count  : 5
=======================
Function test for aioreq completed. Total time: 1.2442591340004583
Received statuses
        {301: 200}
Function test for requests completed. Total time: 1.6835168350007734
Received statuses
        {200: 5}
Function test for httpx completed. Total time: 1.691718664000291
Received statuses
        {301: 200}

With Transfer-Encoding: Chunked

This is the average execution time of each library for 100 asynchronous requests where responses was received with chunked transfer encoding.

Benchmark settings.

$ cd benchmarks
$ python run_tests_functions.py
========================
Benchmark settings
        Async lib test requests count : 100
        Sync lib test requests count  : 5
=======================
Function test for aioreq completed. Total time: 3.837283965000097
Received statuses
        {200: 100}
Function test for requests completed. Total time: 6.098562907998712
Received statuses
        {200: 5}
Function test for httpx completed. Total time: 6.467480723000335
Received statuses
        {200: 100}

As you can see, the synchronous code lags far behind when we make many requests at the same time.

Supported Features

Aioreq support basic features to work with HTTP/1.1.
More functionality will be avaliable in future realeases.
This is the latest version features.

  • Keep-Alive (Persistent Connections)
  • Automatic accepting and decoding responses. Using Accept-Encoding header
  • HTTPS support, TLS/SSL Verification using certifi library
  • Request Timeouts

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