aioRequest

Provides asynchronous user-friendly micro HTTP client with nothing but clean objects.

Basically, it is a wrapper over requests python library with async/await approach. Represents asynchronous version of urequest package.

Tools

Production

python 3.7, 3.8
asyncio library
requests library

Development

Usage

Installation

pip install aiorequest
✨ 🍰 ✨

Quick start

>>> import asyncio
>>> from typing import Tuple
>>> from aiorequest.sessions import Session, HttpSession
>>> from aiorequest.responses import HTTPStatus, Response, JsonType
>>> from aiorequest.urls import HttpUrl
>>>
>>>
>>> async def aioresponse() -> Tuple[HTTPStatus, JsonType]:
...     session: Session
...     async with HttpSession() as session:
...         response: Response = await session.get(
...             HttpUrl(host="xkcd.com", path="info.0.json")
...         )
...         return await response.status(), await response.as_json()
... 
... 
>>>
>>> asyncio.run(aioresponse())
(
  <HTTPStatus.OK: 200>,
  {
    "month": "3",
    "num": 2284,
    "link": "",
    "year": "2020",
    "news": "",
    "safe_title": "Sabotage",
    "transcript": "",
    "img": "https://imgs.xkcd.com/comics/sabotage.png",
    "title": "Sabotage",
    "day": "23",
  }
)

Source code

git clone git@github.com:aiopymake/aiorequest.git
python setup.py install

Or using specific release:

pip install git+https://github.com/aiopymake/aiorequest@0.0.1

Local debug

git clone git@github.com:aiopymake/aiorequest.git

>>> import aiorequest
>>> aiorequest.__doc__
'Package provides asynchronous user-friendly HTTP client with clean objects.'

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Development notes

Testing

Generally, pytest tool is used to organize testing procedure.

Please follow next command to run unittests:

pytest

CI

Project has Travis CI integration using .travis.yml file thus code analysis (black, pylint, flake8, mypy, pydocstyle and interrogate) and unittests (pytest) will be run automatically after every made change to the repository.

To be able to run code analysis, please execute command below:

./analyse-source-code.sh

The package is also covered with the installation unit tests based on bats framework. Please run the following command to launch package unit tests:

bats --pretty test-package.bats

PACKAGE_NAME and PACKAGE_VERSION environment variables should be specified prelimirary.

Release notes

Please check changelog file to get more details about actual versions and it’s release notes.

Contributing

I would highly appreciate any contribution and support. If you are interested to add your ideas into project please follow next simple steps:

Clone the repository
Configure git for the first time after cloning with your name and email
pip install -r requirements.txt to install all project dependencies
pip install -r requirements-dev.txt to install all development project dependencies
Create your feature branch (git checkout -b feature/fooBar)
Commit your changes (git commit -am ‘Add some fooBar’)
Push to the branch (git push origin feature/fooBar)
Create a new Pull Request

What’s next

All recent activities and ideas are described at project issues page. If you have ideas you want to change/implement please do not hesitate and create an issue.