aiohttp-aiofiles-tutorial
Dependency Injector
aiohttp-aiofiles-tutorial | Dependency Injector | |
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1 | 7 | |
16 | 3,601 | |
- | 1.3% | |
5.6 | 0.0 | |
9 days ago | 2 months ago | |
HTML | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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aiohttp-aiofiles-tutorial
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Async HTTP Requests with Aiohttp & Aiofiles
We're going to structure this script like any other Python script. Our main module, aiohttp_aiofiles_tutorial will handle all of our logic. config.py and main.py both live outside the main module, and offer our script some basic configuration and an entry point respectively:
Dependency Injector
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Java 21 makes me like Java again
Nothing to do with the nature of the language, but with the nature of the program.
If you're writing a few line script, you don't need a DI container. Once your program gets large, it becomes extremely messy without one. It's no surprise projects like [1] exist.
[1] https://github.com/ets-labs/python-dependency-injector
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Do You Use Singletons?
Totally agree with this. And Iβve found this pattern pairs really well with https://python-dependency-injector.ets-labs.org/
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Compclasses: prefer composition over inheritance
dependency_injector: https://github.com/ets-labs/python-dependency-injector
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Loosely coupled Python code with Dependency Injection
As projects continue to grow, its recommended to utilise a dependency injection framework to βinjectβ these dependencies, such as Dependency Injector, to inject dependency arguments automatically β¨.
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What is the best practice for injecting configuration into a python application
One approach is to pass this config as a variable to every class it is required, which I dont prefer. Another option is to annotate the config class as singleton and create the config object at every place where I need them. I also came across this library called Dependency_Injector. https://python-dependency-injector.ets-labs.org/ This seems a bit heavy weight for my use case though. I am looking forward to know how other solve this problem
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Dependency Injection and Python
Dependency Injector
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Introduction to Dependency Injection in Python
dependency-injector (docs) is python library that provides a framework which enables you to implement DI and IoC in Python.
What are some alternatives?
aiofiles - File support for asyncio
django-rest-framework - Web APIs for Django. πΈ
imgbb - A simple tool enabling you to asynchronously upload images to imgbb.
kink - Dependency injection container made for Python
snapchat-memory-fetcher - π»π‘ Download all Snapchat video & photo memories from a data export.
flask-restful - Simple framework for creating REST APIs
kubernetes_asyncio - Python asynchronous client library for Kubernetes http://kubernetes.io/
falcon - The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.
asyncio-tutorial-part1 - ππ Intro to concurrency in Python with Asyncio.
connexion - Connexion is a modern Python web framework that makes spec-first and api-first development easy.
network-manager - a simple wrapper around QNetworkAccessManager
flask-api - Browsable web APIs for Flask.