# Using Python with NubesGen
This documentation is for running Python applications with NubesGen, and there is another option that might interest you:
- As Python applications can be packaged with Docker, you can also run them as Docker applications with NubesGen.
NubesGen supports creating Azure App Service instances and Azure Functions instances, depending on the type of Python application that you wish to deploy.
# Tutorial: running a Python application with NubesGen
Tip: You can go to https://aka.ms/nubesgen-azure-shell (opens new window) to have those prerequisites installed, and run the script from a Web browser.
- Bash (opens new window), which is installed by default on most Linux distributions and on Mac OS X. If you're using Windows, one solution is to use WSL (opens new window).
- Azure CLI (opens new window). To login, use
- (optional) GitHub CLI (opens new window). To login, use
gh auth login.
- Create a sample Python Web application using Flask (opens new window).
We'll follow the beginning of the Flask "a Minimal Application" guide (opens new window):
Create a new file called
app.pyin the root of your project.To manage the project's dependencies, create a file called
from flask import Flask app = Flask(__name__) @app.route("/") def hello_world(): return "<p>Hello, World!</p>"
requirements.txtin the root of your project.
- Create a project on GitHub called
python-sample-app, and push the generated project to that repository. Change
<your-github-account>by the name of your GitHub account:
git init git add . git commit -m "first commit" git remote add origin https://github.com/<your-github-account>/python-sample-app.git git branch -M main git push -u origin main
- In the cloned project (
cd python-sample-app), set up GitOps with NubesGen by running the NubesGen CLI (more information here):
- Use the command-line with NubesGen (more information here) to generate a NubesGen configuration:
curl "https://nubesgen.com/demo.tgz?runtime=python&application=app_service.standard&gitops=true" | tar -xzvf -
- Create a new branch called
env-dev, and push your code:
git checkout -b env-dev git add . git commit -m 'Configure GitOps with NubesGen' git push --set-upstream origin env-dev
- Go to your GitHub project, and check that the GitHub Action is running.
- You can go to the Azure Portal (opens new window) to check the created resources.
- The application should be deployed on your App Service instance. Its URL should be in the form
https://app-demo-XXXX-XXXX-XXXX-XXXX-dev-001.azurewebsites.net/, and you can also find it in the GitHub Action workflow (Job: "display-information", step "Display Azure infrastructure information"), or in the Azure portal. As it is a simple application, it should print by default
- Once you have finished, you should clean up your resources:
- Delete the resource group that was created by NubesGen to host your resources, which is named
- Delete the storage account used to store your Terraform state, in the
# Which Azure resources are created
If you deploy your Python application to an Azure App Service instance, NubesGen will generate:
- An Azure App Service plan (opens new window) to define the type of App Service instance you will use.
- An Azure App Service instance (opens new window), configured to run Python code natively.
If you deploy your Python application to an Azure Function, NubesGen will generate:
- An Azure App Service plan (opens new window) to define the type of Azure Functions instance you will use.
- An Azure Functions instance (opens new window), configured to run Python code natively.
- An Azure Storage Account (opens new window), to store your Python application.
# Configuration options
In the generated
terraform/modules/app-service/main.tf file, NubesGen will configure some variables
for your application.
# Other options
NubesGen will configure some environment variables for your application.
DATABASE_URL: the URL to your database
DATABASE_USERNAME: the database user name
DATABASE_PASSWORD: the database password
REDIS_HOST: the Redis host name
REDIS_PASSWORD: the Redis password
REDIS_PORT: the Redis port (by default
AZURE_STORAGE_ACCOUNT_NAME: the storage account name
AZURE_STORAGE_ACCOUNT_KEY: the storage account key
AZURE_STORAGE_BLOB_ENDPOINT: the blob storage endpoint
MONGODB_DATABASE: the MongoDB database name
MONGODB_URI: the MongoDB database URL