kiltakaro/discord_scala

<explanation>

1. Identify the project type and purpose

- This is a full‑stack web application (“Discord en scala”) that mimics core Discord features (user registration, authentication, friend management, guilds/servers).

- The backend is written in Scala (sbt project) and uses ClickHouse as its database. The frontend is a Vue.js single‑page application built with Vite and styled with Tailwind CSS.

2. Analyze the file structure

- Top‑level directories:

• backend/ – Scala API service (build.sbt, src/main/scala/*.scala)

• database/ – SQL scripts to initialize and seed the ClickHouse database

• frontend/ – Vue.js SPA (src/components, src/views, router, assets)

- Build/config files: sbt files under backend/, package.json and Vite config under frontend/

- There is no microservice split: backend is a single monolith with multiple Scala classes (Admin, Authentification, Database, Friend, Guild, Main, User).

3. Examine the README

- Confirms a three‑part launch (Scala server, Vue dev server, ClickHouse).

- No external third‑party APIs beyond ClickHouse and Node.

4. Drawing the system design diagram

a. Main components

- User’s Web Browser / Client

- Frontend SPA (Vue.js + Vite + Tailwind)

- Backend API (Scala monolith, sbt)

- Database (ClickHouse)

b. Relationships & data flows

1. User interacts with the SPA over HTTP/HTTPS.

2. SPA issues REST (or WebSocket) calls to the Scala backend API.

3. Backend controllers (Authentification, Admin, Friend, Guild, User) invoke the Database connector to run ClickHouse queries (via Database.scala).

4. Responses flow back to the SPA, which updates UI views (Login, Home, ServerView, etc.).

c. Architectural patterns & design principles

- Layered monolith:

• Presentation (HTTP routes/controllers in Main.scala)

• Domain models (User.scala, Friend.scala, Guild.scala, Admin.scala)

• Data access layer (Database.scala)

- Clear separation of concerns: each Scala class focuses on one domain entity or function.

- SPA architecture: components, views, router, global app shell (App.vue).

d. Key technologies & frameworks

- Frontend: Vue.js, Vite, Tailwind CSS, ESLint

- Backend: Scala, sbt, ClickHouse JDBC/driver

- Database: ClickHouse (initialized via bdd.sql, seed via insert_data.sql)

5. Guidelines for tailoring the diagram (full‑stack app)

- Visually separate frontend and backend zones.

- Show the database as a distinct cylinder shape connected only to the backend.

- Emphasize the API layer: draw a box around the Scala controllers and another around data‑access.

- You may annotate ports (e.g., 3000 for frontend, 9000 for Scala API, default ClickHouse port).

6. Elements to include in the diagram

- Clear labels for each major box/cylinder (e.g., “Vue.js SPA,” “Scala API Service,” “ClickHouse DB”).

- Directional arrows:

• Browser → SPA assets (HTTP GET)

• SPA → API (HTTP POST/GET)

• API → DB (SQL queries)

- Color coding or shapes:

• Frontend in one color (e.g., green),

• Backend in another (e.g., blue),

• Database in a third (e.g., orange).

7. Final tips

- Drill down only as far as required: you can group all Vue views under “UI Views” if the diagram is high‑level, or display individual major views (LoginView, HomeView, ServerView) for more detail.

- For the backend, you can show the “API Controller” layer separately from the “Data Access” layer if you want to highlight the layered architecture.

- Keep the diagram uncluttered: if you need to show sequence flows (e.g., login), consider a secondary sequence diagram.

By following these steps and accurately mapping the file‑tree structure to logical components and flows, you will produce a clear, detailed, and tailored system design diagram for this Discord‑like Scala application.

</explanation>