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feat: Frontend Phase 3.2 - Goal Form Focus Areas + Badges
**Goal Form Extended:**
- Load focus area definitions on page load
- Multi-Select UI grouped by category (7 categories)
- Chip-style selection (click to toggle)
- Weight sliders per selected area (0-100%)
- Selected areas highlighted in accent color
- Focus contributions saved/loaded on create/edit

**Goal Cards:**
- Focus Area badges below status
- Shows icon + name + weight percentage
- Hover shows full details
- Color-coded (accent-light background)

**Integration Complete:**
- State: focusAreas, focusAreasGrouped
- Handlers: handleCreateGoal, handleEditGoal
- Data flow: Backend → Frontend → Display

**Result:**
- User can assign goals to multiple focus areas
- Visual indication of what each goal contributes to
- Foundation for Phase 0b (goal-aware AI scoring)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-27 19:54:45 +01:00
.gitea/workflows ci: fix workflows - prod deploys to bodytrack/, dev to bodytrack-dev/ 2026-03-17 13:11:53 +01:00
backend feat: Backend Phase 2 - Focus Areas API + Goals integration 2026-03-27 19:48:05 +01:00
docs docs: Phase 1.5 complete - update roadmap 2026-03-27 06:52:18 +01:00
frontend feat: Frontend Phase 3.2 - Goal Form Focus Areas + Badges 2026-03-27 19:54:45 +01:00
nginx feat: initial commit – Mitai Jinkendo v9a 2026-03-16 13:35:11 +01:00
.env.example small update 2026-03-18 09:07:08 +01:00
.gitignore fix: AdminUserRestrictionsPage - use exact TierLimitsPage input system 2026-03-20 11:34:48 +01:00
CLAUDE.md docs: Update CLAUDE.md - Custom Goals Page 2026-03-27 15:32:44 +01:00
docker-compose.dev-env.yml fix: add missing /app/data volume for SQLite migration 2026-03-18 12:11:37 +01:00
docker-compose.dev.yml feat: initial commit – Mitai Jinkendo v9a 2026-03-16 13:35:11 +01:00
docker-compose.yml docker-compose.yml aktualisiert 2026-03-19 08:28:30 +01:00
find-container.sh chore: rollback point before unified prompt system refactoring (Issue #28) 2026-03-25 10:42:18 +01:00
README.md feat: initial commit – Mitai Jinkendo v9a 2026-03-16 13:35:11 +01:00
SETUP.md feat: initial commit – Mitai Jinkendo v9a 2026-03-16 13:35:11 +01:00
test-pipeline-api.sh chore: add pipeline system test scripts (Issue #28) 2026-03-25 09:47:58 +01:00
test-pipeline-backend.sh fix: use postgres container for psql commands 2026-03-25 09:54:44 +01:00
test-unified-migration.sh fix: migration 020 SQL syntax - correlated subquery issue 2026-03-25 12:58:02 +01:00

BodyTrack

Körpervermessung & Körperfett Tracker selbst gehostet, PWA-fähig.

Features

  • Umfänge & Caliper-Messungen (4 Methoden) mit Verlauf
  • Abgeleitete Werte: WHR, WHtR, FFMI, Magermasse
  • Verlaufsdiagramme (Gewicht, KF%, Taille, …)
  • KI-Interpretationen via Claude (Anthropic)
  • Fortschrittsfotos mit Galerie
  • PDF & CSV Export
  • PWA installierbar auf iPhone-Homescreen
  • Alle Daten lokal auf deinem Server (SQLite)

Schnellstart

1. Voraussetzungen

# Docker & Docker Compose installieren (Ubuntu)
curl -fsSL https://get.docker.com | sh
sudo usermod -aG docker $USER
# Neu einloggen

2. Projekt klonen / kopieren

mkdir ~/bodytrack && cd ~/bodytrack
# Dateien hierher kopieren

3. API Key setzen

cp .env.example .env
nano .env
# ANTHROPIC_API_KEY=sk-ant-... eintragen

4. Starten

docker compose up -d

App läuft auf: http://DEINE-IP:3000

5. iPhone Als App installieren

  1. Safari öffnen → http://DEINE-IP:3000
  2. Teilen-Button (□↑) → „Zum Home-Bildschirm"
  3. BodyTrack erscheint als App-Icon

6. Von außen erreichbar (optional)

# Tailscale (einfachste Lösung  VPN zu deinem MiniPC)
curl -fsSL https://tailscale.com/install.sh | sh
sudo tailscale up
# Dann: http://TAILSCALE-IP:3000

Updates

docker compose pull
docker compose up -d --build

Backup

# Datenbank & Fotos sichern
docker run --rm -v bodytrack-data:/data -v bodytrack-photos:/photos \
  -v $(pwd):/backup alpine \
  tar czf /backup/bodytrack_backup_$(date +%Y%m%d).tar.gz /data /photos

Konfiguration

Variable Beschreibung Standard
ANTHROPIC_API_KEY Claude API Key (für KI-Analyse)

Ports

Port Dienst
3000 Frontend (Nginx)
8000 Backend API (intern)