This is great; however, it requires Python 3.6, which is a problem for my development on a Mac (which uses Python 3.7). Downgrading/dual installation has the potential for many perils, so I wanted an isolated runtime development environment which wouldn’t interfere with my current setup.
Here’s my requirements:
- Run Azure Functions locally (e.g. “func host start”)
- Publish Azure Functions locally (e.g. “func azure functionapp publish”)
- Use my existing Azure CLI session (i.e. don’t have to login each time)
- Won’t confuse my existing Python 3.7 env.
Docker to the rescue!
I’ll spare you the details of the iterative process of creating the Dockerfile, but after a some iterations, I knew I was on the right track.
You can copy/create my code here:
In short, it creates a Docker image and runs it with:
- Ubuntu 18.04
- Python 3.6
- Azure CLI
- Azure Function Core Tools
- Forwards port 7071 from inside the container to my localhost (used for local function testing)
- Mounts my home dir to /root to maintain my Azure CLI session. (e.g. No login!)
This will definitely save me time each time I want to setup a new Function (or other) environment and I hope it helps save time for you too.
Make my func the p-func!