collabrix/OVERVIEW.md
DGSoft 93b98cfb5c Initial commit: Team Chat System with Code Snippet Library
- Complete chat application similar to Microsoft Teams
- Code snippet library with syntax highlighting
- Real-time messaging with WebSockets
- File upload with Office integration
- Department-based permissions
- Dark/Light theme support
- Production deployment with SSL/Reverse Proxy
- Docker containerization
- PostgreSQL database with SQLModel ORM
2025-12-09 22:25:03 +01:00

6.2 KiB

Team Chat - Projekt-Übersicht

📋 Projekt-Status: VOLLSTÄNDIG

Implementierte Features

Chat-System

  • Benutzerregistrierung & Login (JWT)
  • Passwort-Hashing (bcrypt)
  • Abteilungs-Management
  • Kanal-Verwaltung (pro Abteilung)
  • Echtzeit-Nachrichten (WebSocket)
  • Datei-Uploads (bis 20 MB)
  • Zugriffskontrolle basierend auf Department-Zugehörigkeit

Code-Snippet-Bibliothek

  • Snippet CRUD (Create, Read, Update, Delete)
  • Visibility-Levels (Private, Department, Organization)
  • Filter nach Sprache
  • Tag-Suche
  • Volltextsuche (Titel & Content)
  • Integration in Chat-Nachrichten
  • Syntax-Highlighting-Unterstützung

UI/UX

  • React + TypeScript Frontend
  • Light/Dark-Theme mit Toggle
  • Theme-Persistenz (LocalStorage)
  • Responsive Design (Tailwind CSS)
  • Microsoft Teams-ähnliches Layout
  • Sidebar-Navigation (Departments & Channels)
  • Separate Snippet-Bibliothek-Ansicht

Tests

  • pytest Konfiguration
  • Auth Tests (Register, Login, Token)
  • Channel Tests (CRUD, Zugriff)
  • Message Tests (Erstellen, Laden)
  • File Upload Tests
  • Snippet Tests (CRUD, Visibility, Suche)
  • Test-DB Setup (SQLite In-Memory)

Deployment & Dokumentation

  • Docker & Docker-Compose
  • .env Konfiguration
  • README.md mit vollständiger Anleitung
  • QUICKSTART.md für schnellen Einstieg
  • ANNAHMEN.md mit Design-Entscheidungen
  • Demo-Daten Script
  • Setup-Script (bash)

📊 Statistiken

Code-Dateien

  • Backend: 20+ Python-Dateien
  • Frontend: 15+ TypeScript/React-Komponenten
  • Tests: 6 Test-Suites
  • Config: 10+ Konfigurationsdateien

API-Endpoints

  • Auth: 3 (register, login, me)
  • Departments: 4 (CRUD + User-Assignment)
  • Channels: 4 (CRUD + Department-Filter)
  • Messages: 3 (Create, List, Get)
  • Files: 3 (Upload, Download, List)
  • Snippets: 5 (CRUD + Filter/Search)
  • WebSocket: 1 (Real-time Channel)

Datenbank-Modelle

  1. User
  2. Department
  3. UserDepartmentLink (M2M)
  4. Channel
  5. Message
  6. FileAttachment
  7. Snippet

🚀 Quick Start Commands

Docker

docker-compose up -d
# Warten auf Services
python3 scripts/create_demo_data.py
# Zugriff: http://localhost:5173

Manuell

# Backend
cd backend
python -m venv venv && source venv/bin/activate
pip install -r requirements.txt
uvicorn app.main:app --reload

# Frontend (neues Terminal)
cd frontend
npm install && npm run dev

Tests

cd backend
pytest -v
# oder mit Coverage:
pytest --cov=app --cov-report=html

📂 Verzeichnisstruktur

OfficeDesk/
├── backend/
│   ├── app/
│   │   ├── routers/         # API Endpoints
│   │   ├── main.py          # FastAPI App
│   │   ├── models.py        # DB Models
│   │   ├── schemas.py       # Pydantic Schemas
│   │   ├── auth.py          # JWT Auth
│   │   ├── database.py      # DB Connection
│   │   ├── config.py        # Settings
│   │   └── websocket.py     # WebSocket Manager
│   ├── tests/               # pytest Tests
│   ├── uploads/             # File Storage
│   ├── requirements.txt
│   ├── .env
│   └── Dockerfile
├── frontend/
│   ├── src/
│   │   ├── components/
│   │   │   ├── Auth/        # Login/Register
│   │   │   ├── Chat/        # Chat UI
│   │   │   ├── Snippets/    # Snippet Library
│   │   │   └── Layout/      # App Layout
│   │   ├── contexts/        # React Contexts
│   │   ├── services/        # API Client
│   │   ├── types/           # TypeScript Types
│   │   └── App.tsx
│   ├── package.json
│   └── Dockerfile
├── scripts/
│   ├── create_demo_data.py  # Demo Data Generator
│   └── setup.sh             # Setup Script
├── docker-compose.yml
├── README.md
├── QUICKSTART.md
├── ANNAHMEN.md
└── OVERVIEW.md (diese Datei)

🔧 Technologie-Stack

Backend

  • Language: Python 3.11
  • Framework: FastAPI 0.109
  • Database: PostgreSQL 17
  • ORM: SQLModel 0.0.14
  • Auth: python-jose (JWT)
  • Password: passlib + bcrypt
  • WebSocket: FastAPI native
  • Testing: pytest + httpx

Frontend

  • Language: TypeScript 5.3
  • Framework: React 18
  • Build: Vite 5.0
  • Styling: Tailwind CSS 3.3
  • HTTP: Axios 1.6
  • Routing: React Router 6.20

DevOps

  • Containers: Docker + Docker Compose
  • Database: PostgreSQL 17 (Official Image)
  • Proxy: Vite Dev Server (Development)

🎯 Nächste Schritte (Optional)

Sofort umsetzbar

  1. Emoji-Reactions auf Nachrichten
  2. @Mentions in Messages
  3. User-Avatar-Upload
  4. Snippet-Favoriten
  5. Dark-Mode für Code-Blöcke verfeinern

Kurzfristig (1-2 Wochen)

  1. Admin-Panel für User-Management
  2. Email-Benachrichtigungen
  3. Message-Edit/Delete
  4. Thread-Antworten
  5. Snippet-Versioning

Mittelfristig (1-2 Monate)

  1. CI/CD Pipeline (GitHub Actions)
  2. Monitoring (Prometheus + Grafana)
  3. Advanced Search (ElasticSearch)
  4. Mobile-Responsive verbessern
  5. Performance-Optimierungen

📞 Support & Kontakt

Entwickler: Senior-Softwareentwickler
Projekt: Team Chat v1.0
Datum: 2025-12-06
Status: Production-Ready (nach Security-Review)

Dokumentation:

  • README.md - Vollständige Anleitung
  • QUICKSTART.md - Schnelleinstieg
  • ANNAHMEN.md - Design-Entscheidungen
  • API Docs - http://localhost:8000/docs

Lizenz: Internes Projekt


Checkliste für Produktiv-Deployment

  • .env SECRET_KEY ändern (32+ Zeichen, zufällig)
  • PostgreSQL-Passwort ändern
  • HTTPS/TLS aktivieren
  • CORS-Origins einschränken
  • Rate-Limiting implementieren
  • Backup-Strategie definieren
  • Monitoring einrichten
  • Logging konfigurieren
  • Security-Audit durchführen
  • Load-Testing
  • Datenschutz-Compliance prüfen
  • User-Dokumentation erstellen

🎉 Projekt erfolgreich abgeschlossen!