45 lines
1.8 KiB
Markdown
45 lines
1.8 KiB
Markdown
# Web Application Engineering Assignment 1 -- Group 04
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## Technology Stack
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* Angular for our single-page frontend
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* Django for our backend
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* Database: sqlite3
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We chose this specific stack because all of our team members have previously
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worked with this combination of Angular/Django and there is a lot of
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documentation for it online.
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We chose sqlite3 as persistence layer because it comes out of the box with django. Django
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also provides a built-in ORM mapper. Our db schema is very simple, sqlite3 handles it well.
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## Linting
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We use the `ng lint` command to lint our frontend. For this to work,
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`angular-cli` must be installed. After that run the following in the frontend
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folder:
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```bash
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$ ng lint
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```
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## Setup
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Our project can be run with a simple `docker-compose up` from the project's root
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folder. By default it will pull the required images from [docker
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hub](https://hub.docker.com). To instead build the images locally, comment out
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the `build` keys inside the `docker-compose.yml` file.
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The `docker-compose.yml` file builds the images by calling the `Dockerfiles` in
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the folders `frontend` and `backend`. The frontend is served via nginx on port
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4200. The backend is served via gunicorn on port 8000.
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The container's database folder is mounted to ./container_db of the host's docker-compose folder. Therefore,
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the database is persisted at the client's filesystem.
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The docker images are available at:
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* [waecm-2021-group-04-bsp1-fe](https://hub.docker.com/r/pfingstfrosch/waecm-2021-group-04-bsp-1-fe)
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* sha256 digest: 41c3392154185ceb02273aa9edf87df2c0eaac2112f4b2bf923c7f7f3e39909b
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* [waecm-2021-group-04-bsp1-be](https://hub.docker.com/r/pfingstfrosch/waecm-2021-group-04-bsp-1-be)
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* sha256 digest: c1e755bea6ca93d04838c110dbee3a8306faac7b7a8e066ea8a4dec122575683
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