Dependency Injector
aioredis
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Dependency Injector | aioredis | |
---|---|---|
7 | 2 | |
3,581 | 2,269 | |
1.9% | - | |
0.0 | 0.0 | |
about 2 months ago | about 1 year ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | MIT License |
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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.
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Do You Use Singletons?
Totally agree with this. And I’ve 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 “inject” these dependencies, such as Dependency Injector, to inject dependency arguments automatically ✨.
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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.
aioredis
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Pooling in aioredis may be dangerous
First, it was aioredis library. We are using sentinel based client because with this we can achieve failover easily. Aioredis spawn pool of connections, that transparently reconnects (and here third thing — FOREVER, hello DDOS) to our sentinel nodes, and then to master node. It supposed to do so. Also, we found that if you are not limiting maximum connections count, library will do it for you and set it as 2 ** 31 (here you can see it) — this is fourth thing. Furthermore, pool in our version (2.0.1) not closing automatically, and it makes the problem worse.
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Tips using Redis with FastAPI
I'm hoping to leverage Redis with my project, and I was curious as to if anyone had any general pointers as to how best to manage the DB connection. I'm using aioredis such that I can leverage the async functionality, but I haven't been very happy with the library's documentation surrounding how best to leverage the connection pool. Most of the examples create and tear down the pool immediately without showing how best to manage its lifespan.
What are some alternatives?
django-rest-framework - Web APIs for Django. 🎸
pottery - Redis for humans. 🌎🌍🌏
kink - Dependency injection container made for Python
uvloop - Ultra fast asyncio event loop.
flask-restful - Simple framework for creating REST APIs
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
falcon - The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.
fastapi-redis-cache - A simple and robust caching solution for FastAPI that interprets request header values and creates proper response header values (powered by Redis)
connexion - Connexion is a modern Python web framework that makes spec-first and api-first development easy.
redis-py-sansio - A sansio-first approach to a Python Redis Client.
flask-api - Browsable web APIs for Flask.
faust - Python Stream Processing. A Faust fork