Quick templates that deploy python applications for the enterprise. I'm keeping this as a baseline template to streamline deployment to Azure Web Services.
A fork of Deploy a Python (Django) web app to Azure App Service - Sample Application
I usually spend a lot of time reconfiguring the MSFT base templates to run in an enterprise setting. This is my attempt to make it more turn-key. However, this is specific for my deployment style. Please let me know in the issues if you deploy differently.
- Incorporates AAD form the start, no user/password login.
- All secrets come from env vars (for deployment in Azure App Service).
- Data Science / Analytics focused
- Uses
condaenvironments instead of pip invironments.
- Uses
If you need an Azure account, you can create one for free.
Save azure costs by running the application locally to test. Azure deployment to follow TBD, but the origional MSFT repo above has these instructions.
I'm using Miniconda in my local environment. However it works the same either way.
Steps to build your local environment in Miniconda (one time setup):
conda create -n azurewebappto create the environment.conda activate azurewebapppip install -r requirements.txtto install the needed libraries.- Set the environment variables see section below.
python manage.py makemigrationspython manage.py migratepython manage.py runserver
You need to set the conda environment variables.
conda env config vars set SECRET_KEY=123abc to set the env vars
Here are the list of vars the system will need:
- SECRET_KEY
- DEBUG
- AAD_CLIENT_ID
- AAD_CLIENT_CREDENTIAL
- AAD_TENANT_ID
Confirm you have the correct variables with conda env config vars list
- Create your needed app registration and follow the instructions in the useful links below. That process isn't automated here.