Skip to main content

Some function and classes to help you deal with aiohttp sessions

Project description

Travis status

Automatically add session management to a class

Some function and classes to help you deal with aiohttp client sessions. This is made after this discussion. This works for decorating both coroutines and asynchronous generators methods.

Installation

pip install aiohttp-asynctools

Usage

Automatically attach an aiohttp.ClientSession object to your class in a fast and clean way with the following 3 steps:

  1. Import asynctools
  2. Make your class extend asynctools.AbstractSessionContainer
  3. Decorate asynchronous methods/generators with @asynctools.attach_session to attach a session argument.

Optionaly, you can also cutomize the instanciation of AbstractSessionContainer in your __init__ method. Here is what it looks like for a simple example using a math API:

import asynctools  # 1.

MATH_API_URL = "http://api.mathjs.org/v4"

class MathRequests(asynctools.AbstractSessionContainer):  # 2.

    @asynctools.attach_session  # 3.
    async def get_text(self, url, params, session=None):
        async with session.get(url, params=params) as response:
            return await response.text()

    async def get_square(self, value):
        params = {
            "expr" : f"{value}^2"
        }
        return await self.get_text(MATH_API_URL, params=params)

You are now ready to instantiate a MathRequests context manager and start requesting the math service using a single aiohttp session (the session is hidden from the MathRequests user). Here is how you could build a math server using the new class (basically we wrote a wrapper for the Math API and now we expose our own API).

from aiohttp import web
routes = web.RouteTableDef()

@routes.get('/squares')
async def squares(request):
    values = request.query['values'].split(',')

    async with MathRequests() as maths:
        squares = await asyncio.gather(*(maths.get_square(v) for v in values))

    return {
        'values': values,
        'squares': squares,
    }

maths_app = web.Application()
maths_app.add_routes(routes)

if __name__ == "__main__":
    web.run_app(app)

We are now ready to test:

curl 'http://localhost:8080/squares?values=1,2,3,4,5,6,7,8,9,10'

Which should output:

{
  "values": ["1", "2", "3", "4", "5", "6", "7", "8", "9", "10"],
  "results": ["1", "4", "9", "16", "25", "36", "49", "64", "81", "100"]
}

A more complete example can be found in example.

Details and explanation

What?

The goal is to help aiohttp users to build classes that will contain sessions object in an efficient/clean way.

Why?

If you want to build class that will make requests using aiohttp client, at some point you'll have to deal with sessions. The quickstart guide for aiohttp client has an important note about them.

import aiohttp

async with aiohttp.ClientSession() as session:
   async with session.get('http://httpbin.org/get') as resp:
       print(resp.status)
       print(await resp.text())

...

Note

Don’t create a session per request. Most likely you need a session per application which performs all requests altogether.

More complex cases may require a session per site, e.g. one for Github and other one for Facebook APIs. Anyway making a session for every request is a very bad idea.

A session contains a connection pool inside. Connection reusage and keep-alives (both are on by default) may speed up total performance.

The goal is to have a single session attached to a given object, this is what this module offers with only 3 (very simple) lines of code.

How?

The module provides an abstract class AbstractSessionContainer and a method decorator attach_session that you'll have to use to automatically add session management to an existing class.

Say you have a class MathRequests that has a single method get_square that returns the square value of the given parameter using an aiohttp.get request to the math API service located at http://api.mathjs.org/v4. Here is what your class look like for now:

import asyncio, aiohttp
routes = aiohttp.web.RouteTableDef()

class MathRequests:
    async def get_text(self, url, params):
        # Remember "making a session for every request is a very bad idea"
        async with aiohttp.ClientSession() as session:
            async with session.get(url, params=params) as response:
                return await response.text()
    async def get_square(self, value):
        return await self.get_text("http://api.mathjs.org/v4", params={'expr' : '{}^2'.format(value)})

@routes.get('/squares')
async def index(request):
    tasks = []
    data = request.query
    values = data['values'].split(',')
    maths = MathRequests()
    results = await asyncio.gather(*[ maths.get_square(v) for v in values ])
    return web.json_response({ 'values':values, 'results':results })

maths_app = aiohttp.web.Application()
maths_app.add_routes(routes)

As aiohttp documentation says, this is a bad idea to implement MathRequests this way, we need to share a single session for all get_square requests.

A simple solution to this would be to store a client session object within MathRequests, which you could initiate in the __init__ method. Saddly this is not a very clean solution as aiohttp sessions should be instantiated in a synchronous way (outside the even loop). See aiohttp#1468 for more information about creation a session outside of coroutine.

Here is the final solution using the provided module asynctools:

import asyncio
import asynctools # 1) Import

# 2) Extends the abstract class that will handle the aiohttp session for you:
class MathRequests(asynctools.AbstractSessionContainer):
    def __init__(self):
        # 2') (optional) initilise with any 'aiohttp.ClientSession' argument
        super().__init__(raise_for_status=True)
    # 3) This decorator will automatically fill the session argument:
    @asynctools.attach_session
    async def get_text(self, url, params, session=None):  # 4) Add the 'session' argument
        async with session.get(url, params=params) as response:
            return await response.text()
    async def get_square(self, value):
        return await self.get_text("http://api.mathjs.org/v4", params={'expr' : '{}^2'.format(value)})

from aiohttp import web
routes = web.RouteTableDef()

@routes.get('/squares')
async def index(request):
    tasks = []
    data = request.query
    values = data['values'].split(',')
    async with MathRequests() as maths: # Use the object as a context manager (async with <context_manager> as <name>)
        results = await asyncio.gather(*[ maths.get_square(v) for v in values ])
    return web.json_response({ 'values':values, 'results':results })

maths_app = web.Application()
maths_app.add_routes(routes)

Using the MathRequests as a context manager is the best option (as it will make sure the session is correctly started and closed), but it's not the only option, you can also keep your code as it was before:

@routes.get('/squares')
async def index(request):
    tasks = []
    data = request.query
    values = data['values'].split(',')
    maths = MathRequests()
    results = await asyncio.gather(*[ maths.get_square(v) for v in values ])
    return web.json_response({ 'values':values, 'results':results })

In this case, no session is attached to the maths object and every call to get_square will use a different session (which is as bad as it was with the old version of MathRequests). What you can do to avoid that is to explicitly open a "math session" which will make all get_square calls to use the same session (also, don't forget to close the session when you are done):

@routes.get('/maths')
async def index(request):
    tasks = []
    data = request.query
    values = data['values'].split(',')
    maths = MathRequests()
    maths.start_session()
    results = await asyncio.gather(*[ maths.get_square(v) for v in values ])
    maths.close_session()
    return web.json_response({ 'values':values, 'results':results })

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aiohttp_asynctools-0.1.3.tar.gz (6.0 kB view details)

Uploaded Source

Built Distribution

aiohttp_asynctools-0.1.3-py3-none-any.whl (8.5 kB view details)

Uploaded Python 3

File details

Details for the file aiohttp_asynctools-0.1.3.tar.gz.

File metadata

  • Download URL: aiohttp_asynctools-0.1.3.tar.gz
  • Upload date:
  • Size: 6.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.19.1 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.6

File hashes

Hashes for aiohttp_asynctools-0.1.3.tar.gz
Algorithm Hash digest
SHA256 4709667e08f9b432355438412f964c213ec9093430176dee9adc8551f4811ea0
MD5 3ed384f366f7054799c5ee64658940b7
BLAKE2b-256 9784a8f6f8a12e76c1a8844d89c15ef32c7ef524ec8a02d2e5b8e91d5f586a21

See more details on using hashes here.

File details

Details for the file aiohttp_asynctools-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: aiohttp_asynctools-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 8.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.19.1 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.6

File hashes

Hashes for aiohttp_asynctools-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 e9f15623c00ff6fa722bcc9bb7798319aed475500f8d24280105d9835ad4e82a
MD5 1d0f039376da6a747a4f484e1466d4c8
BLAKE2b-256 cd5577040fd47af0a30feda22d279007b7c197d89a9ab9b4cb8c9ef4db09ba6e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page