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feat: learnable activity type mapping system (DB-based, auto-learning)
Replaces hardcoded mappings with database-driven, self-learning system.

Backend:
- Migration 007: activity_type_mappings table
  - Supports global and user-specific mappings
  - Seeded with 40+ default mappings (German + English)
  - Unique constraint: (activity_type, profile_id)
- Refactored: get_training_type_for_activity() queries DB
  - Priority: user-specific → global → NULL
- Bulk categorization now saves mapping automatically
  - Source: 'bulk' for learned mappings
- admin_activity_mappings.py: Full CRUD endpoints
  - List, Get, Create, Update, Delete
  - Coverage stats endpoint
- CSV import uses DB mappings (no hardcoded logic)

Frontend:
- AdminActivityMappingsPage: Full mapping management UI
  - Coverage stats (% mapped, unmapped count)
  - Filter: All / Global
  - Create/Edit/Delete mappings
  - Tip: System learns from bulk categorization
- Added route + admin link
- API methods: adminList/Get/Create/Update/DeleteActivityMapping

Benefits:
- No code changes needed for new activity types
- System learns from user bulk categorizations
- User-specific mappings override global defaults
- Admin can manage all mappings via UI
- Migration pre-populates 40+ common German/English types

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-21 19:31:58 +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: learnable activity type mapping system (DB-based, auto-learning) 2026-03-21 19:31:58 +01:00
docs docs: update CLAUDE.md and add comprehensive membership system documentation 2026-03-20 15:44:29 +01:00
frontend feat: learnable activity type mapping system (DB-based, auto-learning) 2026-03-21 19:31:58 +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: mark v9d Phase 1b as complete, ready for production 2026-03-21 19:02:56 +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)