cp-20/traqing

<explanation>

Below is a step‑by‑step guide on how to draft a detailed, accurate system design diagram for the traQing project. This is a full‑stack, monorepo‑style web application that integrates with an external chat API (traQ), and uses a relational database with migration scripts. Follow these guidelines to capture all essential components, relationships, and technology choices.

1. Identify the main system components

- Frontend (apps/client)

- Reverse proxy / static asset server (Caddy)

- Backend API server (apps/server)

- Shared database library (packages/database)

- Database (PostgreSQL)

- External traQ API (OAuth & message feed)

- Migration subsystem (drizzle folder)

- Orchestration layer (docker-compose)

2. Determine relationships & data flows

- Browser → HTTP(S) → Caddy

• Serves index.html and static JS/CSS from apps/client build

• Proxies /api/* to Backend API server

- Backend API server ↔ Database

• Queries & writes via Drizzle ORM (packages/database)

- Backend API server ↔ External traQ API

• OAuth handshake (TRAQ_AUTH_CLIENT_ID)

• Bot token pulls historical messages & stamps (TRAQ_TOKEN)

• extractor.ts component runs background jobs to sync data

- Migration subsystem applies SQL migrations to PostgreSQL on startup

- docker‑compose wires up containers: caddy, client, server, postgres

3. Highlight architectural layers & patterns

- Monorepo with Yarn/Bun workspaces

- Client: React + Vite + TypeScript + Tailwind CSS

- API server: Node.js + TypeScript, tsup build, functional layering

• gateway.ts for HTTP routes

• auth.ts for OAuth

• extractor.ts for background sync jobs

• cache.ts for in‑memory caching

- Database access layer extracted into a separate package (packages/database)

- Migration driven by Drizzle (zero‑down‑time SQL migrations)

4. Technologies & frameworks

- Frontend: React, Vite, Tailwind, PostCSS

- Backend: Node.js, tsup, Express‑style gateway (or any HTTP framework you see in gateway.ts)

- DB client: Drizzle ORM, PostgreSQL

- Reverse proxy: Caddy

- Containerization: Docker, docker‑compose

- CI/CD: GitHub Actions (.github/workflows)

5. Diagramming guidelines

- Use clear, rectangular “containers” for each major component

- Group related files/modules inside each container (e.g. list “App.tsx, hooks/, components/” inside the Client box)

- Draw directional arrows:

• Browser → Caddy (GET /)

• Browser → Caddy (XHR /api/*) → Server

• Server → Database (SQL via Drizzle)

• Server → traQ API (OAuth & data fetch)

• extractor.ts → traQ API → writes to Database

• docker‑compose → spawns all containers

- Color‑code or shape‑code:

• Blue: Client/UI

• Green: Server/API

• Orange: Database & migrations

• Gray: Infrastructure (Caddy, Docker, CI)

• Purple dashed box: External services (traQ API)

6. Tailoring for a full‑stack application

- Emphasize separation of concerns: UI vs. API vs. Data

- Show static assets pipeline (Vite build → Docker image)

- Show background job runner (extractor) as part of the Server container or as a side‑car if you choose

- Include how environment variables (TRAQ_AUTH_CLIENT_ID, TRAQ_TOKEN, DATABASE_URL) flow into the Server container

7. Mandatory diagram elements

- Labels on every box (e.g. “React SPA”, “Caddy Reverse Proxy”, “Node API Server”, “PostgreSQL”, “traQ REST API”)

- Arrows with annotations (e.g. “OAuth2 token exchange”, “SQL queries”, “HTTP(S) /api/messages”)

- Legend for colors/shapes

- Optional: show GitHub Actions in the CI/CD layer triggering Docker builds and pushes

By following this outline, you’ll end up with a layered, color‑coded diagram that clearly shows how traQing’s frontend, backend, database, and external chat service interact, along with how the monorepo structure and CI/CD pipelines fit in. Focus on capturing each container, its responsibilities, and its integrations without over‑splitting—this strikes the right balance between clarity and completeness.

</explanation>