This question isn't related to some specific code, but rather implementation:
This may seem like a dumb question but does anyone know how to use a domain name to host a python script that runs continuously? Some examples of how this would be used: as a script that handles data or a server for a game. If this is unreasonable, is there some other way to have a python script run continuously online?
You can run the script at Link1 or if you want to run it on your machine, you can create a page and put the script there can be with flask (and integrate it with flask) and mount it on a server and do not put it as a website with graphics but as a website that runs it Link2.
Related
Is it possible to run a python script from GoogleSheets(GS)?
The idea is that I press a button in GS and the python script runs.
I found some older posts about this, like the idea to run it from Google Cloud, but maybe there is a simpler solution in the meantime?
Your Python script will have to be run from the cloud. See URL Fetch Service.
I’m working on a project that will need to load python code files dynamically from GitHub on launch. Here’s what it needs to look like:
User asks us to launch an instance for them and provides us with a GitHub url
We have an existing docker with our own python code (a server) that will be using those files from GitHub
We need to launch the docker with our own code, but subbing in parts that we got from the users GitHub, basically creating a server with half our code, half user code
In other words, we need to launch a docker that has some pre planned code from us, and some dynamic code from the user.
Any ideas how to do this? I’ve seen many examples of docker files that load code from GitHub, but I’m having a hard time figuring out how to make it half our code, and half code dynamically from GitHub on run.
I would like to run a couple of very simple Python 3 scripts on the web. As an example, say, the script just reads certain parameters from the URL, sends an email and prints out a simple HTML page saying "success".
I have a virtual private server with Nginx, so I am free to setup the best framework.
My question is: what is the state-of-the-art setup to do this?
More particularly: what do I need to install on my server for Nginx and what do I use in my Python scripts for e.g. reading the URL content? My idea is, that once the server setup is done, I can just put any new script_xy.py file into some directory and it can be accessed using the URL of the script, without a full blown deployment for each script.
Flask If I were to use Flask (or Django), each new script would need its own, continuously running process and its own Nginx setup. That seems like a total overkill to me. Another alternative is web2py, is it the same here or would that be an idea?
CGI 20 years ago I used to program such simple things as Perl scripts using CGI. I read this can be done in principle with Python, but CGI is slow. Then there is Fast CGI. However, my impression was that this is still a bit outdated?
WSGI WSGI seems to be the state-of-the-art alternative to CGI for Python. What python modules would I need to import in my script and what would be the setup for Nginx?
Something else? As you see, I might just need a few hints on what to search for. I am not even sure if I need to search for "Python web framework" or "Python server" etc.
Any help is greatly appreciated.
Thanks a lot for your ideas!
juxeku
Need advice on how to incorporate Python into an Azure ASP.NET web application environment. Please excuse this question but I am new to Azure and I'm not clear on how to proceed. Every option that I look into looks promising but they all seem to have their own issues. Below is a more thorough explanation but the deal is that I have an Azure account with all kinds of goodies, a full fledged ASP.NET (C#) web app running via App Service, I am new to Azure (but not Python), and I'm hoping to add Python functionality to this whole setup. In short:
I want to add Python to this setup mainly to run scheduled jobs and also to trigger Python code from ASP.NET web form submissions
ideally I want a solution that resembles a non-cloud setup. I know this sounds silly but I'm finding the cloud/Azure functionality to be nuanced and not straightforward. I want a place to put a bunch of Python scripts, run, edit, schedule and trigger them from ASP.NET
for example: I created a WebJob that runs manually and from the documentation it wasn't clear how it should be called. I just figured out that you need to POST with Basic Auth (and the credentials provided).
!Also, Azure CMD does NOT like files with 'underscore _' in them! You cannot submit a Web Job with a py file with an underscore nor can you write output with a file with an underscore
!Also, I don't see an option for this Web Job to run Python 3.6.4 (which I installed via extension). Right now it is using 2.7.15...
!Also, CRON expression in Azure has six *, not five plus a command. Again, more weird stuff to worry about
I tried these instructions but the updates to the web page's Web.config file breaks the ASP.NET web pages
ideally the most cost effective option
Any info is greatly appreciated
MORE DETAILED EXPLANATION
Currently I have an ASP.NET site running via Azure App Service and I would like to add Python scripts and possibly Flask/Rest functionality. Note that I am not expecting to serve any content via Python and will largely be running Python scripts either on a scheduled basis or call them from ASP.NET. As a matter of fact, and this is an important point, I'm hoping to have ASP.NET trigger/run a Python script when a web form is submitted. I realize that I could get a similar effect if I make a web call to a Rest api that is running Python. In any event, I can't tell if I should:
add a Python extension to the current App Service running the web page (I tried this) OR
I did install Python 3.6.4 and some packages via pip
These instructions were useful, however the updates to the web page's Web.config file breaks the ASP.NET web pages
set up a VM that will have all of the Python code (but how can I have the .NET web page(s) call the Python in the VM?) OR
use Azure functions (I'm completely new to this and must admit that I prefer to have my old school Python environment instead although I see the benefit of using functions. But how do you deal with logging and debugging?)
or what about a custom windows container (Docker)?
This requires installing VS Code and that is OK but I'm looking for a solution that another user can get into with as few interruptions as possible
The idea is to ramp up the use of Python although, like I said, I don't expect Python to be serving any of the web content. It will be used to run in the background and to run scheduled jobs. What is the most robust and hopefully easiest way to add Python functionality to Azure (most importantly in a way to be able to trigger/use Python from an App Service running .NET?)? I've searched online and stack overflow so far with interesting finds but nothing to my liking.
For example, the following link discusses how to schedule WebJobs. I just created a manual one and when I called the webhook I got the message: "No route registered for '/api/triggeredwebjobs/TestPython/run'" How to schedule python web jobs on azure
The Docker method looks very promising, however, I'm looking for a simple solution as there is another person who will be involved in all of this and he's busy with other projects
Thank you very much!
I found a solution, though I'm open to more info. Like I mentioned in my post, I used the 'add extension' tool to add Python 3.6.4 to my Azure (installed in D:\home\python364x64).
Then I installed a bunch of packages via pip, these installed into D:\home\python364x64\Lib\site-packages.
I created a Python folder in webpages\Python where I put my scripts.
Finally, in ASP.NET I used the Diagnostics.Process call to run my code in ~\webpages\Python\somecode_2.py
The main issue is that Azure came with Python 2.7.15 installed. And for some reason when my Python code got executed it was using 3.4 (where that version came from beats me). So for each script, I had to create an _2.py version where I simply did the following in order to call the original script via Python 3.6.4. Looks a little nasty but it works. So like I said, I would welcome more info for ways to do this better...
--
import os<br>
os.system("D:\\home\python364x64\python.exe SomePython.py {0}".format(add arguments here)
I am trying to run the python program from a git repository but I am not understanding where the results are displayed or suppose to be as I want to be able to put the results into a list for a database.
the repository: LINK to Repository
when i run the python program i get this but do not see a .txt file or anywhere that shows the reults
I am fairly new to programming so thanks for any help!
There is hint Running on http://127.0.0.1:5000. The program is a web server. Point your browser to the address. To stop the server type Ctrl+C in the console.