Tenacity
transitions
Our great sponsors
Tenacity | transitions | |
---|---|---|
7 | 7 | |
5,929 | 5,346 | |
- | 1.5% | |
7.2 | 6.4 | |
18 days ago | 6 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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
-
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!
-
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.
-
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
-
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.
-
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).
-
Best way to automatically restart python script after it breaks?
You're probably looking for something like this: https://github.com/jd/tenacity
-
Help with Making Constant Requests on a Weak Network
Several retry libraries exist. For example, tenacity.
transitions
-
transitions VS python-statemachine - a user suggested alternative
2 projects | 26 Sep 2023
-
Curious to hear your life goals
Start with that you know, if you know Excel well, why not start there? I usually recommend Python if you’re new to programming, then you can pick whatever additional libraries you think would benefit the model, and the syntax is highly forgiving. Sounds to me like you’re describing a pretty big finite state machine, with 288 states. Once you encode your idea and some tests, you’ll have the vocabulary (and means) to expand to other model variations such as applying probabilities to different transition states, and opening a whole world of probabilistic models and hidden Markov models, but gotta walk before running :)
- Behavior Trees in Robotics and AI
-
Finite State Machines
BTW, did you check this?
https://github.com/pytransitions/transitions/blob/master/exa...
-
Advent of Code 2020: Day 25 with Generators in Python
Transitions
-
Advent of Code 2020: Day 02(a) using finite state machines
In Python's ecosystem of libraries, there's a nice one called transitions (which I've used in my robotics work). transitions (as the name suggests) lets you define your state machines more declaratively in terms of transitions between states, the rules that govern those transitions, and the triggers that cause these transitions to happen.
What are some alternatives?
riprova - Versatile async-friendly retry package with multiple backoff strategies
xstate-python - XState for Python
blinker - A fast Python in-process signal/event dispatching system.
itsdangerous - Safely pass trusted data to untrusted environments and back.
Pychievements - The Python Achievements Framework!
Blinker Herald - The Blinker Herald includes helpers to easily emit signals using the excellent blinker library.
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.
cppimport - Import C++ files directly from Python!
pluginbase - A simple but flexible plugin system for Python.
import_string