Tenacity
fastapi
Tenacity | fastapi | |
---|---|---|
8 | 469 | |
6,004 | 71,223 | |
- | - | |
7.0 | 9.8 | |
6 days ago | 2 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Tenacity
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This Week In Python
tenacity – Retrying library for Python
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Unexpected Expected Thriller: A Tale of Coding Curiosity
Today, I'm going to take you on a thrilling coding adventure inspired by a LinkedIn code snippet, where I tangled with FastAPI, River, Watchdog, and Tenacity. Ready? Buckle up!
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How do you handle a background task failure?
This depends on the criticality of the task. If it's not worth adding persistence you can have a look at https://github.com/jd/tenacity , it's a flexible retry decorator, it does not require too much effort to use. If you need persistence without introducing too much development of your own maybe have a look at celery or dramatiq as suggested, but I didn't use celery ever since I left django, didn't try dramatiq either.
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I've done this and I'm sorry
To implement the back-off, I recommend the tenacity lib. You can customize the retrying settings easily
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How long does it take for you to get ready to develop a good Python library?
Hi all. After more then half a year study advanced python and SE principles I would like to develop a library of my liking. I’m aiming for a common decorators library. But after I saw the source code of tenacity (A retry pattern library). I was discouraged. It’s still very complicated to me for now. I can understand a lot of tenacity now. But to code it as beautiful as the auther is tough. Tenacity is not even a big library. My goal is to develop something bigger. I read Learning Python, know many standard library, then two books on SE. A design patterns book for python (broad not deep). And a clean code book (This one is pretty deep). Beyond that I know data structure and algo stuff. I thought I know python at an immediate level now. But seems source code is out of reach. Just wondering how long in python dev before you can develop something like tenacity.
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How do you manage retries?
Not sure why you have that impression. The majority of production code I've touched, from networking to distributed systems, implement retry logic. While many have in-house code, developed before retry libraries became available or working within environments unable to pull much external code, the majority of newer code I hear about uses [Tenacity](https://github.com/jd/tenacity).
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Best way to automatically restart python script after it breaks?
You're probably looking for something like this: https://github.com/jd/tenacity
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Help with Making Constant Requests on a Weak Network
Several retry libraries exist. For example, tenacity.
fastapi
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Github Sponsor Sebastián Ramírez Python programmer
He is probably most well know for creating FastAPI that I taught to some of my clients and Typer that I've never used.
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Python: A SQLAlchemy Wrapper Component That Works With Both Flask and FastAPI Frameworks
It has been an interesting exercise developing this wrapper component. The fact that it seamlessly integrates with the FastAPI framework is just a bonus for me; I didn't plan for it since I hadn't learned FastAPI at the time. I hope you find this post useful. Thank you for reading, and stay safe as always.
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FastAPI Best Practices: A Condensed Guide with Examples
FastAPI is a modern, high-performance web framework for building APIs with Python, based on standard Python type hints.
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Building an Email Assistant Application with Burr
In this tutorial, I will demonstrate how to use Burr, an open source framework (disclosure: I helped create it), using simple OpenAI client calls to GPT4, and FastAPI to create a custom email assistant agent. We’ll describe the challenge one faces and then how you can solve for them. For the application frontend we provide a reference implementation but won’t dive into details for it.
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FastAPI Got Me an OpenAPI Spec Really... Fast
That’s when I found FastAPI.
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How to Deploy a Fast API Application to a Kubernetes Cluster using Podman and Minikube
FastAPI & Uvicorn
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Analysing FastAPI Middleware Performance
Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696
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LangChain, Python, and Heroku
An API application framework (such as FastAPI)
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Litestar – powerful, flexible, and highly performant Python ASGI framework
It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.
This ends up made worse if you’re using sync routes.
If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.
This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759
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AI-Powered Image Search with CLIP, pgvector, and Fast API
Fast API.
What are some alternatives?
riprova - Versatile async-friendly retry package with multiple backoff strategies
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
transitions - A lightweight, object-oriented finite state machine implementation in Python with many extensions
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
blinker - A fast Python in-process signal/event dispatching system.
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
itsdangerous - Safely pass trusted data to untrusted environments and back.
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
Pychievements - The Python Achievements Framework!
Flask - The Python micro framework for building web applications.
boltons - 🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.