Hinzufügen des Docker Containerst
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58
.dockerignore
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58
.dockerignore
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# Git
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.git
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.gitignore
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.gitea
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# Python
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__pycache__
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*.pyc
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*.pyo
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*.pyd
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.Python
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env
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pip-log.txt
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pip-delete-this-directory.txt
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.tox
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.log
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.git
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.mypy_cache
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.pytest_cache
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.hypothesis
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# Virtual environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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# OS
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.DS_Store
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.DS_Store?
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._*
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.Spotlight-V100
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.Trashes
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ehthumbs.db
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Thumbs.db
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# Documentation
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README.md
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*.md
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# Database (will be created in container)
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habits.json
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76
.gitea/workflows/docker.yml
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76
.gitea/workflows/docker.yml
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name: Build and Push Docker Image
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on:
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push:
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branches:
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- main
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- master
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tags:
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- 'v*'
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pull_request:
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branches:
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- main
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- master
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env:
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REGISTRY: git.out.jafre.li # Ersetze mit deiner Gitea-Domain
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IMAGE_NAME: habit-tracker
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jobs:
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build-and-push:
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runs-on: ubuntu-latest
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permissions:
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contents: read
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packages: write
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steps:
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- name: Checkout repository
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uses: actions/checkout@v4
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@v3
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- name: Log in to Container Registry
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uses: docker/login-action@v3
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with:
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registry: ${{ env.REGISTRY }}
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username: ${{ gitea.actor }}
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password: ${{ secrets.GITEA_TOKEN }}
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- name: Extract metadata
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id: meta
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uses: docker/metadata-action@v5
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with:
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images: ${{ env.REGISTRY }}/${{ gitea.repository_owner }}/${{ env.IMAGE_NAME }}
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tags: |
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type=ref,event=branch
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type=ref,event=pr
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type=semver,pattern={{version}}
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type=semver,pattern={{major}}.{{minor}}
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type=raw,value=latest,enable={{is_default_branch}}
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- name: Build and push Docker image
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uses: docker/build-push-action@v5
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with:
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context: .
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platforms: linux/amd64,linux/arm64
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push: true
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tags: ${{ steps.meta.outputs.tags }}
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labels: ${{ steps.meta.outputs.labels }}
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cache-from: type=gha
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cache-to: type=gha,mode=max
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- name: Generate deployment info
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run: |
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echo "## Docker Image Built Successfully! 🐳" >> $GITHUB_STEP_SUMMARY
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echo "" >> $GITHUB_STEP_SUMMARY
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echo "**Image:** \`${{ env.REGISTRY }}/${{ gitea.repository_owner }}/${{ env.IMAGE_NAME }}:latest\`" >> $GITHUB_STEP_SUMMARY
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echo "" >> $GITHUB_STEP_SUMMARY
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echo "### Quick Start:" >> $GITHUB_STEP_SUMMARY
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echo "\`\`\`bash" >> $GITHUB_STEP_SUMMARY
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echo "docker run -d \\" >> $GITHUB_STEP_SUMMARY
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echo " --name habit-tracker \\" >> $GITHUB_STEP_SUMMARY
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echo " -p 5000:5000 \\" >> $GITHUB_STEP_SUMMARY
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echo " -v habit-data:/app/data \\" >> $GITHUB_STEP_SUMMARY
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echo " ${{ env.REGISTRY }}/${{ gitea.repository_owner }}/${{ env.IMAGE_NAME }}:latest" >> $GITHUB_STEP_SUMMARY
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echo "\`\`\`" >> $GITHUB_STEP_SUMMARY
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33
Dockerfile
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Dockerfile
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# Use Python 3.11 slim image
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FROM python:3.11-slim
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# Set working directory
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WORKDIR /app
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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gcc \
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&& rm -rf /var/lib/apt/lists/*
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# Copy requirements first for better caching
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COPY requirements.txt .
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# Install Python dependencies
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy application code
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COPY . .
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# Create directory for database
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RUN mkdir -p /app/data
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# Expose port
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EXPOSE 5000
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# Set environment variables
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ENV FLASK_APP=app.py
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ENV FLASK_ENV=production
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ENV PYTHONPATH=/app
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# Run the application
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CMD ["python", "-m", "flask", "run", "--host=0.0.0.0", "--port=5000"]
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129
README.md
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129
README.md
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# Habit Tracker
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Ein einfacher Habit Tracker mit wöchentlicher Ansicht, gebaut mit Flask und JavaScript.
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## Features
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- 📅 Wöchentliche Ansicht (7 Zeilen für jeden Wochentag)
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- 🎯 Anpassbare Tagesziele (1-20x pro Tag)
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- 🎨 Individuelle Farben für jedes Habit
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- 🔥 Streak-Zähler
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- 📱 Responsive Design
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- 🐳 Docker-Support
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## Schnellstart mit Docker
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### Aus der Registry
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```bash
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docker run -d \
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--name habit-tracker \
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-p 5000:5000 \
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-v habit-data:/app/data \
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gitea.example.com/username/habit-tracker:latest
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```
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### Lokal bauen
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```bash
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# Repository klonen
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git clone <repository-url>
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cd habit-tracker
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# Mit Docker Compose
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docker-compose up -d
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# Oder manuell
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docker build -t habit-tracker .
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docker run -d \
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--name habit-tracker \
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-p 5000:5000 \
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-v habit-data:/app/data \
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habit-tracker
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```
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## Lokale Entwicklung
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```bash
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# Virtual Environment erstellen
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python -m venv venv
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source venv/bin/activate # Linux/Mac
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# oder
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venv\Scripts\activate # Windows
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# Dependencies installieren
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pip install -r requirements.txt
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# App starten
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python app.py
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```
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Die App ist dann unter http://localhost:5000 erreichbar.
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## Konfiguration
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### Umgebungsvariablen
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- `FLASK_ENV`: `production` oder `development` (Standard: `production`)
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- `FLASK_APP`: `app.py` (Standard)
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### Volumes
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- `/app/data`: Hier wird die `habits.json` Datenbank gespeichert
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## Deployment
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### Docker Compose (Empfohlen)
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```yaml
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version: '3.8'
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services:
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habit-tracker:
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image: gitea.example.com/username/habit-tracker:latest
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ports:
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- "5000:5000"
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volumes:
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- ./data:/app/data
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environment:
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- FLASK_ENV=production
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restart: unless-stopped
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```
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### Reverse Proxy (Nginx)
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```nginx
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server {
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listen 80;
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server_name habits.example.com;
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location / {
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proxy_pass http://localhost:5000;
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proxy_set_header Host $host;
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proxy_set_header X-Real-IP $remote_addr;
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proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
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proxy_set_header X-Forwarded-Proto $scheme;
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}
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}
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```
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## Bedienung
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1. **Habit hinzufügen**: Namen eingeben und "Hinzufügen" klicken
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2. **Heute abhaken**: ✓-Button klicken (zeigt Fortschritt bei Zielen >1)
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3. **Vergangene Tage bearbeiten**: Drei-Punkte-Menü → Modal öffnen
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4. **Einstellungen**: Im Modal Farbe und Tagesziel anpassen
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5. **Löschen**: Im Modal über den "Löschen"-Button
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## Technische Details
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- **Backend**: Flask (Python)
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- **Frontend**: Vanilla JavaScript
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- **Datenbank**: TinyDB (JSON-basiert)
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- **Styling**: CSS Grid/Flexbox
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- **Container**: Multi-Arch (AMD64/ARM64)
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## CI/CD
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Der Gitea-Workflow baut automatisch Docker-Images bei:
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- Push auf `main`/`master` Branch
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- Neue Tags (z.B. `v1.0.0`)
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- Pull Requests
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## Lizenz
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MIT License
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15
docker-compose.yml
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15
docker-compose.yml
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version: '3.8'
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services:
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habit-tracker:
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build: .
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ports:
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- "5000:5000"
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volumes:
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- habit-data:/app/data
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environment:
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- FLASK_ENV=production
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restart: unless-stopped
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volumes:
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habit-data:
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3
requirements.txt
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3
requirements.txt
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Flask==2.3.3
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tinydb==4.8.0
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Werkzeug==2.3.7
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