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feat: add v9c subscription system database schema 
Phase 1: Database Migration Complete

Created migration infrastructure:
- backend/migrations/v9c_subscription_system.sql (11 new tables)
- backend/apply_v9c_migration.py (auto-migration runner)
- Updated main.py startup event to apply migration

New tables (Feature-Registry Pattern):
1. app_settings - Global configuration
2. tiers - Subscription tiers (free/basic/premium/selfhosted)
3. features - Feature registry (11 limitable features)
4. tier_limits - Tier x Feature matrix (44 initial limits)
5. user_feature_restrictions - Individual user overrides
6. user_feature_usage - Usage tracking with reset periods
7. coupons - Coupon management (single-use, period, Wellpass)
8. coupon_redemptions - Redemption history
9. access_grants - Time-limited access with pause/resume logic
10. user_activity_log - Activity tracking (JSONB details)
11. user_stats - Aggregated statistics

Extended profiles table:
- tier, trial_ends_at, email_verified, email_verify_token
- invited_by, invitation_token

Initial data inserted:
- 4 tiers (free/basic/premium/selfhosted)
- 11 features (weight, circumference, caliper, nutrition, activity, photos, ai_calls, ai_pipeline, export_*)
- 44 tier_limits (complete Tier x Feature matrix)
- App settings (trial duration, self-registration config)

Migration auto-runs on container startup (similar to SQLite→PostgreSQL).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 12:42:43 +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: add v9c subscription system database schema 2026-03-19 12:42:43 +01:00
frontend feat: zentraler Schalter für Pipeline-Deaktivierung 2026-03-19 07:56:36 +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 refactor: modular backend architecture with 14 router modules 2026-03-19 11:15:35 +01:00
CLAUDE.md docs: add Feature-Registry Pattern architecture for v9c 2026-03-19 12:40:25 +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

README.md

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)