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Developer Guide

Prerequisites for Developing Locally

This section contains prerequisites to run functions locally.

Secrets

Create a new file local.settings.json.

Contact an Open Austin dev to get Azure credentials and values for required environment variables. Update the file with this information. You need this file to deploy and test your code.

Do NOT check this file into git or share it with others, as it contains secret keys with access to our Azure account.

VS Code

Visual Studio Code is our main IDE. We recommend all developers use this for consistency.

In addition, install the Azure Functions VS Code extension for easier emulation and deployments to Azure.

Python

This project requires python 3.9. You must use this specific version.

We recommend using pipenv to install a specific python version for this repository. The Pipfile is already checked in, so you can run pipenv install --dev to install all dependencies with the proper python version.

Azure Tooling

Install Azure Function Core Tools 4. Make sure to install version 4.

Docker

Recommended: Install Docker Desktop if you want the docker runtime along with a nice UI.

Alternative: Install Docker Engine for only the docker runtime.

Azure CLI

NOTE: This prerequisite is only needed if you plan to deploy to Azure. You can run functions locally without this.

Follow How to install Azure CLI.

Run the following command after install:

az login

Notes for Macbook M1 Users

Skip this section if you're not developing on a M1 Macbook.

The container runs using amd64 emulation due to Microsoft's lack of Linux aarch64 binaries for Azure Functions Tools. Emulation causes the container to run considerably slower than natively.

In order for the emulation to work properly, you must meet the following requirements:

  • macOS 13+
    • Rosetta 2 installed
  • Docker version 4.16.0+
    • Enable Use Virtualization framework in Docker Destkop Settings > General
    • Enable Use rosetta for x86/amd64 in Docker Desktop Settings > Features in Development

If you see the error Function not implemented when you run the app (below), this likely means you aren't configured properly for emulation. Ensure the following:

  • The above requirements are all met by your machine
  • Your macOS terminal is not being emulated when you build & run docker compose
    • The arch command should print arm64
  • That you built the container image after installing everything
    • If you adjusted one of these configurations after building the image, try re-building with docker-compose build --no-cache

Running Functions Locally

With those prereqs installed, you can now develop locally. First we will turn up the development environment, i.e. run all our functions locally. Build and run the container with docker-compose to run the Function App (with all the functions) in your local emulator.

docker-compose up

This will mount the repository as a volume in the container, so you can continue to edit code as normal. It also enables debug logging by default.

Wait for the functions to start up. Then look for a differently-colored line that looks like this

http-scraper: [GET,POST] http://localhost:7071/api/http-scraper

That is the URL you will use in the next step.

Make Sample Requests

Now that the function is deployed, you can make a request to the function. Run this command in a new terminal window:

curl -i -XPOST \
    "http://localhost:7071/api/http-scraper" \
    -d @testdata/payload.json

The request data is located in the ./testdata/payload.json file. In the file, the test argument is not necessary but handy for development, as it causes the scraper to stop after finding and processing 1 case.

Go back to the terminal window running docker and look at the logs. You should see the functions processing data.

Verification

TODO(nareddyt): How do we check everything is functioning in e2e

TODO(nareddyt): Mention running unit tests when we have some

Deployment to Azure

When you run the function app locally, it will still be talking to blob containers, a message queue, and a Cosmos DB on Azure, so 95% of the time local testing should be fine.

However, it's a good idea to at least verify final code on Azure before opening a pull request. Changes merged into main will then be published on the prod environment.

Login to the Azure CLI, then publish to Azure with the command:

func azure functionapp publish indigent-defense-stats-dev-function-app

That's our dev environment, so deploy there as much as you like; it's meant to be played with and broken.

You can test the function with the same command as testing locally, with a different URL:

curl -i -XPOST \
    "https://indigent-defense-stats-dev-function-app.azurewebsites.net/api/http-scraper" \
    -d @testdata/payload.json