Develop Reference

OpenApi for Python

I'm trying to use OpenAPI for a Python project.
I've previously used OpenAPI with Java and it was really easy as you could configure it into pom.xml so that you would write a yaml file and then you would get an interface that you could implement into your controller.
I'm now working in Python and I'm trying to do a similar thing where you write an yaml file and get an interface or something similar that you can use.
I've tried openapi-generator-cli generate but it seems like it creates a lot of bloat files as it creates the whole server but I only need a single file that I can use further.
Is there something similar for Python as it is for Java?
Thanks in advance

You may want to try import flask_restx.
Then visit top-level URL of your flask app to see the swagger details.
https://flask-restx.readthedocs.io/en/latest/swagger.html#swaggerui
EDIT
Consider using apispec.
$ pip install -U 'apispec[yaml]'

can try flask-toolkits link very easy to setup as it will generate your openapi/swagger spec. Once you already done your code can try with app.run() then access http://localhost:5000/openapi.yaml

Is there a way to determine if my code is run in an embedded Python?

So we're developing a C++ Python application that is both used in native Python and also in a embedded Python version that is wrapped in R using reticulate. Now we want to determine whether the currently running Python is in embedded mode or not.
Does anyone know what I could do here? I have not found any documentation about different env setups or internal hints that I could use to find this information within Python. We would have to determine on the Python side and not the C++ side...
I appreciate any hint I could get!
Edit about environments:
The main problem is that we use an embedded Python version with our R application and a native Python version with our main application. So our clients can access the same code snippet from basically any Python version that is included in the PY_LIMITED_API. So if I recall it correctly thats any version 3.2+

I haven't answered my question until now.
My workaround was a simple
try:
import pip
except ImportError:
PythonIsRunEmbedded = True
Since pip is not included with the embedded version of Python

GAE Managed VMs: Possible to use C-based Python libraries with standard runtime?

I'm building a background module for my app in Python 2.7, but it needs to use C-based external libraries such as OpenCV. While GAE only "directly" supports pure Python libraries, I understand that using a managed VM removes that constraint. What I'm not quite clear on, after reading the documentation, is whether I would need to use a custom runtime, or whether a standard Python runtime (for which there's a ready-made Docker file and built-in API support for Datastore, Task Queue, etc.) would be sufficient.
Thanks in advance for any insight!

The standard runtime is fine, you just need to add your extra dependencies to the Dockerfile that gets created. The tutorial in the docs (specifically Step 6) shows an example of building a python app that uses a C-extension.

Running TRACE32 using python

I want to run a .cmm file that reads the register values in kernel in TRACE32 and i want to initiate that using python so that data analysis becomes easy. Kindly help me with the procedure and commands to do so

What you intend is to read register values from target under test in Trace32 using python, correct me if
I am wrong.
If my understanding is right, then what you intend can be achieved. api_remote.pdf help document can be found in the installation folder of Trace32. In this document hlinknet.c and hremote.c files are mentioned which provide Trace32 API's for controlling Trace32 from external application which can be developed in python, Labview or any other programming language. You can create suitable commands in python that call trace32 API's and generate your own application in python to control Trace32.
I am not aware of how to develop in python but the above reference will get you what you want to achieve using python if I understood your question correctly.

query rdf file windows

I wanna know how to query a RDF file using Sparql on windows. I'm using python 2.7 and on linux os.system(roqet... ) is there something similar to roqet (rasqal) on windows, like curl for example?, can I make this query with rdflib or something like that? it is very important that this rdf is not online, I wanna perform this query locally through the file.
Thanks

Take a look at either the ARQ tools provided by Apache Jena which will run on Windows provided Java is installed
Or take a look at the rdfQuery tool provided by dotNetRDF which will run on Windows provided .Net 4.0 Full is installed
Disclaimer - I'm a developer on both of the above projects

If your file is reasonably small (less than a few 100,000 triples), I would highly recommend RDFlib, as you suggested. It can be used anywhere you've installed Python and allows full use of SPARQL (both select and update/delete statements), and also gives many other handy features that can be utilized on a local file completely in-memory.
The nice part about using RDFlib is that to get it up and running requires only adding the Python library, so it is very simple to install.