Fixes calculate_protein_g_per_kg and calculate_protein_days_in_target: **Problem:** Both functions were treating individual nutrition_log entries as days, causing incorrect calculations when multiple entries exist per day (e.g., from CSV imports: 233 entries across 7 days). **Solution:** 1. calculate_protein_g_per_kg: - Added GROUP BY date, SUM(protein_g) to aggregate by day - Now averages daily totals, not individual entries - Correct: 7 days → 7 values, not 233 entries → 233 values 2. calculate_protein_days_in_target: - Added GROUP BY date, SUM(protein_g) to aggregate by day - Calculates target range in absolute grams (not g/kg per entry) - Counts unique DAYS in range, not entries - Correct format: "5/7" (5 of 7 days), not "150/233" (entries) **Impact:** - protein_g_per_kg: was returning "nicht verfügbar" → now returns correct value - protein_days_in_target: was returning "nicht verfügbar" → now returns correct format **Root Cause:** Functions expected 7 unique dates but got 233 entries. With export date 2026-04-02 and last data 2026-03-26, the 7-day window had insufficient unique dates. Issue reported by user: Part B placeholders not showing correct values in extended export (registry metadata was correct, but computed values failed). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
||
|---|---|---|
| .gitea/workflows | ||
| backend | ||
| docs | ||
| frontend | ||
| nginx | ||
| .env.example | ||
| .gitignore | ||
| CLAUDE.md | ||
| docker-compose.dev-env.yml | ||
| docker-compose.dev.yml | ||
| docker-compose.yml | ||
| find-container.sh | ||
| README.md | ||
| SETUP.md | ||
| test-pipeline-api.sh | ||
| test-pipeline-backend.sh | ||
| test-unified-migration.sh | ||
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
- Safari öffnen →
http://DEINE-IP:3000 - Teilen-Button (□↑) → „Zum Home-Bildschirm"
- 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) |