Tenacity
import_string
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Tenacity | import_string | |
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8 | - | |
5,971 | 11 | |
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7.2 | 0.0 | |
25 days ago | - | |
Python | Python | |
Apache License 2.0 | ISC License |
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Tenacity
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This Week In Python
tenacity β 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. Iβm aiming for a common decorators library. But after I saw the source code of tenacity (A retry pattern library). I was discouraged. Itβs 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.
import_string
We haven't tracked posts mentioning import_string yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
riprova - Versatile async-friendly retry package with multiple backoff strategies
transitions - A lightweight, object-oriented finite state machine implementation in Python with many extensions
pluginbase - A simple but flexible plugin system for Python.
blinker - A fast Python in-process signal/event dispatching system.
Pychievements - The Python Achievements Framework!
itsdangerous - Safely pass trusted data to untrusted environments and back.
boltons - π© Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
Throttler - πβ³ Easy throttling with asyncio support