Static non web python application on demand

Question

Static non web python application on demand

Kacper Sobolewski 6

Hello Community

I need an advice. Since last two weeks I'm trying to figure out, how to push to cloud python application managed only by command line.

Overview:

Command line python application receiving few arguments and csv file with input data. This CVS file and execution command/request needs to be send by application outside of the cloud.
eg. ./app.py ARG1, ARG2, ARG3, ARG4 --input_data data.csv
Application is analyzing this data, and generates some files with results (txt files, images, etc) and exits.
Results needs to be downloaded by 3rd party klient app.

ad1. Normally this python app is provided with our desktop application and it's execute on klient's computer. However for some reasons, we would like to push this part to the cloud and execute it on demand.

From my research, I'm afraid that this will not work. At least with actual architecture.

I was thinking about App Service, but this is designed for web apps, or containers, but from what I read in docs, they not accepting commands with arguments. Maybe docker, but is there a way to pass long command in to docker container, and write results to f.eg. Blob storage? Also regular VM would be some alternative but it generates constant cost, ewe if not used, and does can I pass command to it remotely?

Thanks

Lex Li (Microsoft) 6,037 Reputation points Microsoft Employee

2022-10-01T07:13:09.2+00:00

"Normally this python app is provided with our desktop application and its execute on klient's computer." Then you can keep a thin Python app running on the client computer which takes command line arguments and data file. Within it, web service calls that wrap up the arguments/data can be made to your Web API project hosted on Azure App Service which carries out the actual calculation. However, keep in mind App Service is always running (and costs you a lot of money. You also evaluate Azure Functions as well, which can charge you only when the code is executed.

1 answer

Your answer

Lex Li (Microsoft) 6,037 Reputation points Microsoft Employee

2022-10-01T07:13:09.2+00:00

"Normally this python app is provided with our desktop application and its execute on klient's computer." Then you can keep a thin Python app running on the client computer which takes command line arguments and data file. Within it, web service calls that wrap up the arguments/data can be made to your Web API project hosted on Azure App Service which carries out the actual calculation. However, keep in mind App Service is always running (and costs you a lot of money. You also evaluate Azure Functions as well, which can charge you only when the code is executed.

Answer 1

ajkuma 28,036 Microsoft Employee Moderator

KacperSobolewski-9509, Apologies for the delay from over the weekend.

1/2:
I understand, you have done enough research on this, weighing functionality to leverage for your specific requirement - Just to highlight, App Service uses the Gunicorn web server by default, which must be able to find your app object or wsgi.py folder. If needed, you can Customize the startup command.

On App Service, you can control the container's startup behavior by providing either a custom startup command or multiple commands in a startup command file. A startup command file can use whatever name you choose, such as startup.sh, startup.cmd, startup.txt, and so on.

Use a
To use a different web server (non-Gunicorn server), such as aiohttp, use the appropriate command as the startup command or in the startup command file:
python3.7 -m aiohttp.web -H localhost -P 8080 package.module:init_func

You can run an unsupported version of Python by building your own container image instead. Use a custom Docker image.
Production settings for Django apps

ajkuma 28,036 Reputation points Microsoft Employee Moderator

2022-09-26T21:00:54.807+00:00

2/2:

Other frameworks and web servers

--Always use relative paths in all pre- and post-build scripts because the build container in which Oryx runs is different from the runtime container in which the app runs.
Never rely on the exact placement of your app project folder within the container (for example, that it's placed under site/wwwroot).

Just to highlight further on hosting options in Azure.

Azure offers a number of ways to host your application code. The term compute refers to the hosting model for the computing resources that your application runs on.
The flowchart [in the doc,][1] will help you to choose a compute service for your application.

This article helps you understand the options and make the right choice for your web application.

Share via

Static non web python application on demand

1 answer

Your answer