Видео

Excellent…can it create mock test involving AWS services?

Hello, great video. I am super new to python. And started using very recently for backend where its being used along with FastAPI. Can you please tell me what are some concepts/ topics which I should be aware for developing efficient code. For eg from this video, I learnt that which function runs concurrently and which doesn't. I had no idea tbh about this before. If you could spare few minutes and share some stuff which I should know it would be great.

I have so many questions, I am so sorry. Should you pass app to the AsyncClient() as well for the ASGI server? Also, how would the last example affect APIRouters defined in separate files? How would they reach app.client? They could have their separate lifespan function but wouldn't it be prefered to use the same object? Also, I don't know, but wouldn't it be better to use app.state.client? Oh, and what about POST requests, would you still use the Request object to reach the client? It works, but it gets messy code wise.

got any benchmarks?

Well issue with this kind of libraries imho is, that real life code is not a single module separated from everything else. It's much bigger than that and has a ton of dependencies and/or setup and tear down required. Some tests require quite a lot of fixtures and some of those fixtures are configurable as well. Conclusion is...I'd have to change manually great majority of that auto generated tests to make them any good, so I might as well right them on my own from scratch. And it doesn't support python 3.11+, so it's a big issue.

oh, sorry, that was a hook for further story

Maybe better practice to read chunks from file is async for?

Great video, thanks for sharing

Clearly explained!! Thank you

Well fastapi ( fun get ( ))

Beautifully explained!

Nice!

Nice explanation. Concise and to the point.

this is not about FastApi, its about sync functions and async functions so just dont use sync functions in async functions if sync one is takes a lot of time.

My question would be how FastAPI then manages workload when it´s handed over to the worker thread. Because I can only see one worker thread running, at the same time it handles 40 'workloads' concurrently.

Great explanation, you should create more videos bro...

def endpoint3() is not running parallely for me as supposed to what u said in the video. Instead it is sunning one at a time. Do u know why?

Great video. Short and to the point. Subscribed.

Great video. Thanks

this should boom i love ur channel

I need some help, I want to create a fast api endpoint that calls a synchronous function that has a lot of blocking I/0 operations. But I want the endpoint function to run asynchronously so it can accept many requests at the same time. How should I do this, is there an alternative approach?

Crisp and clear ❤

Great video. Thanks

Thanks. ❤

great video

boooozi txeq

Why not just return condition?

Thnx

I always upload with just an post.

very nice video, thanks!

can you make fastapi how run under the hood and how @app.exception_handler work Thanks awesome contentent

Thanks for clearing this concept.

As per LEGB rule , it is considered as enclosed variable - neither local or global but behaves as local and global within a function more specifically under decorators

Your videos are the best. No bs, just facts.

Great knowledgable video

thx bro! so useful material, keep going

very well explanation.

thank you!

dont we have to enable the 68 no line? "app = Fastapi(lifespan=lifespan)" ?

Hello I am not able to run Pynguin. I tryed your approach and got this error: (base) seva@air-von-seva Pynguin_input % pynguin --project-path . --module-name test_example_2 --output-path . Traceback (most recent call last): File "/Users/seva/anaconda3/bin/pynguin", line 5, in <module> from pynguin.cli import main File "/Users/seva/anaconda3/lib/python3.11/site-packages/pynguin/__init__.py", line 9, in <module> import pynguin.generator as gen File "/Users/seva/anaconda3/lib/python3.11/site-packages/pynguin/generator.py", line 31, in <module> import pynguin.analyses.seeding as seeding # pylint: disable=consider-using-from-import ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/seva/anaconda3/lib/python3.11/site-packages/pynguin/analyses/seeding.py", line 25, in <module> import pynguin.ga.testcasechromosome as tcc File "/Users/seva/anaconda3/lib/python3.11/site-packages/pynguin/ga/testcasechromosome.py", line 13, in <module> import pynguin.ga.chromosome as chrom File "/Users/seva/anaconda3/lib/python3.11/site-packages/pynguin/ga/chromosome.py", line 13, in <module> import pynguin.ga.computations as ff File "/Users/seva/anaconda3/lib/python3.11/site-packages/pynguin/ga/computations.py", line 17, in <module> from pynguin.testcase.execution import ExecutionTrace File "/Users/seva/anaconda3/lib/python3.11/site-packages/pynguin/testcase/execution.py", line 425, in <module> class ExecutionTracer: File "/Users/seva/anaconda3/lib/python3.11/site-packages/pynguin/testcase/execution.py", line 460, in ExecutionTracer Compare.IN: lambda val1, val2: ( ^^^^^^^^^^ File "/Users/seva/anaconda3/lib/python3.11/enum.py", line 784, in __getattr__ raise AttributeError(name) from None AttributeError: IN

❤

You must learn about the Dynaconf library

Great content brother Quick Modification: sync router is Concurrency not Parallelism. In python parallelism is achieved only by multiprocessing

Great video, but I think it’s important to mention that multi-threading in Python is not parallel

Your best practices videos are great. Keep going. ❤

Great videos

thank you!

Keep it up bro...😊

OMG! This is so helpful and a great video. Thank you and please post more videos like this!

Hello! Thank you for the video! Could you tell me how to measure the request (in your video it’s about 300ms)? Using a decorator? If so, I tried it, but it didn’t help, because time information is simply not displayed in the logs. I would like this information to be absorbed and for me to see a clear difference in the use of reguess and nttpx. I can’t leave a comment with a link to pastebin because youtube deletes such comments