# Web Application Engineering Assignment 1 -- Group 04

## Technology Stack

* Angular for our single-page frontend
* Django for our backend
* Database: sqlite3

We chose this specific stack because all of our team members have previously
worked with this combination of Angular/Django and there is a lot of
documentation for it online. 
We chose sqlite3 as persistence layer because it comes out of the box with django. Django
also provides a built-in ORM mapper. Our db schema is very simple, sqlite3 handles it well.

## Linting

We use the `ng lint` command to lint our frontend. For this to work,
`angular-cli` must be installed. After that run the following in the frontend
folder:

```bash
$ ng lint
```

## Setup

Our project can be run with a simple `docker-compose up` from the project's root
folder. By default it will pull the required images from [docker
hub](https://hub.docker.com). To instead build the images locally, comment out
the `build` keys inside the `docker-compose.yml` file.

The `docker-compose.yml` file builds the images by calling the `Dockerfiles` in
the folders `frontend` and `backend`. The frontend is served via nginx on port
4200. The backend is served via gunicorn on port 8000.

The container's database folder is mounted to ./container_db of the host's docker-compose folder. Therefore,
the database is persisted at the client's filesystem.

The docker images are available at:

* [waecm-2021-group-04-bsp1-fe](https://hub.docker.com/r/pfingstfrosch/waecm-2021-group-04-bsp-1-fe)
    * sha256 digest: 41c3392154185ceb02273aa9edf87df2c0eaac2112f4b2bf923c7f7f3e39909b
* [waecm-2021-group-04-bsp1-be](https://hub.docker.com/r/pfingstfrosch/waecm-2021-group-04-bsp-1-be)
    * sha256 digest: c1e755bea6ca93d04838c110dbee3a8306faac7b7a8e066ea8a4dec122575683