pyot 2.0.4

AsyncIO based high level Python framework for the Riot Games API that encourages rapid development and clean, pragmatic design.

Pyot

Pyot is a Python Framework for the Riot Games API, including League of Legends, Teamfight Tactics, Legends of Runeterra and Valorant that encourages rapid development and clean, pragmatic design. It specializes at doing task in async environment to get the expected result faster than synchronous code. Thanks for checking it out.

Pyot is highly inspired by Cassiopeia, you will notice that both has similar internal workings.

Features

Features that Pyot has and can provide to your development.

• AsyncIO Based: No more waiting forever, concurrent calls and jobs made faster, highly configurable settings and wide range of tools to speed all your I/O tasks.
• Synchronous Compatible: An adapted version of Pyot that runs on synchronous environment, Pyot will expose part of its API synchronously in its secondary module called Syot.
• Django Support: Full support for Django Caches Framework and its new 3.1 async Views, just add pyot to the installed apps and point your setting modules on your settings.py file.
• Community Projects Integrated: Take a step to dump the late and poor updated DDragon, we going beta testing directly using Cdragon and Meraki, BangingHeads' DDragon replacement is also coming soon.
• Caches Integrated: A wide range of Caches Stores is available right out of the box, we currently have Omnistone(Runtime), RedisCache(RAM), DiskCache(Disk) and MongoDB(NoSQL).
• Multiple Models: Available models are League of Legends, Teamfight Tactics, Legends of Runeterra and Valorant.
• Autocompletion Included: Forget the standard dictionary keys, triple your code efficiency now with autocompletion enabled.
• Perfect Rate Limiter: Pyot Rate Limiter is production tested in all asynchronous, multithreaded and even multiprocessed environments, rate limiters for perfectionists.
• User Friendly Docs: Meet a friendly docs that "should" be easier to read and understand.

About the Documentation

All documentation is in the "docs" directory and online at https://paaksing.github.io/Pyot/. If you're just getting started, here's how we recommend you read the docs:

The documentation is separated into different pages at the top navbar.

• Core section documents the core modules, objects and settings of Pyot.
• Pipeline section documents the Low level API of Pyot's Pipeline objects.
• Models section documents the objects APIs for each available model.
• Stores section documents the available Stores configurable to the pipeline.
• Limiters section documents the available Rate Limiters for the RiotAPI Store.
• Utils section documents the available helper functions and objects of Pyot.
• Developers section has contributing guidelines and wanted features.

Portal: https://paaksing.github.io/Pyot/

1. First, read the Installation Guide for instructions on installing Pyot.
2. Next, follow the quick start guide in Quick Start Guide for creating and running your first Pyot project.
3. Then you should get to know the types of objects that Pyot works with in Objects.
4. Now give yourself an idea of what models we have and what objects we work in Models
5. You'll probably want to read through the topical context managers for achieving concurrency in Gatherer and Queue.
6. From there you can jump back to manipulating the settings by reading Core > Cores > Settings and get to know all the available pipeline stores in Pyot at Stores.
7. Check out all the utils objects and methods available in pyot.utils that can be handy in your development, documented at Utils.

Docs are updated rigorously. If you find any problems in the docs, or think they should be clarified in any way, please take 30 seconds to open an issue in this repository.

To contribute to Pyot

Contributions are welcome! If you have idea or opinions on how things can be improved, don’t hesitate to let us know by posting an issue on GitHub or @ing me on the Riot API Discord channel. And we always want to hear from our users, even (especially) if it’s just letting us know how you are using Pyot.

Check out https://paaksing.github.io/Pyot/devs/ for information about getting involved.

Finally thanks for Django docs, I literally copied their doc format and changed the names. Yikes