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fix: add quality_filter_level to ProfileUpdate model (Issue #31)
The frontend was sending quality_filter_level to the backend, but the
Pydantic ProfileUpdate model didn't include this field, so it was
silently ignored. Profile updates never actually saved the filter.

This is why the charts didn't react to filter changes - the backend
database was never updated.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 06:44:05 +01:00
.gitea/workflows ci: fix workflows - prod deploys to bodytrack/, dev to bodytrack-dev/ 2026-03-17 13:11:53 +01:00
backend fix: add quality_filter_level to ProfileUpdate model (Issue #31) 2026-03-24 06:44:05 +01:00
docs docs: update CLAUDE.md and add comprehensive membership system documentation 2026-03-20 15:44:29 +01:00
frontend fix: reload TrainingTypeDistribution on quality filter change (Issue #31) 2026-03-24 06:30:39 +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 feat: Quality-Filter für KI-Pipeline & History (#24) 2026-03-23 21:59:02 +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
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

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)