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feat: filtered goal types - count specific training types
NEW FEATURE: Filter conditions for goal types
Enables counting/aggregating specific subsets of data.

Example use case: Count only strength training sessions per week
- Create goal type with filter: {"training_type": "strength"}
- count_7d now counts only strength training, not all activities

Implementation:
- Migration 026: filter_conditions JSONB column
- Backend: Dynamic WHERE clause building from JSON filters
- Supports single value: {"training_type": "strength"}
- Supports multiple values: {"training_type": ["strength", "hiit"]}
- Works with all 8 aggregation methods (count, avg, sum, min, max)
- Frontend: JSON textarea with example + validation
- Pydantic models: filter_conditions field added

Technical details:
- SQL injection safe (parameterized queries)
- Graceful degradation (invalid JSON ignored with warning)
- Backward compatible (NULL filters = no filtering)

Answers user question: 'Kann ich Trainingstypen wie Krafttraining separat zählen?'
Answer: YES! 🎯
2026-03-27 08:14:22 +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: filtered goal types - count specific training types 2026-03-27 08:14:22 +01:00
docs docs: Phase 1.5 complete - update roadmap 2026-03-27 06:52:18 +01:00
frontend feat: filtered goal types - count specific training types 2026-03-27 08:14:22 +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 fix: Phase 1 - Goal System Quick Fixes + Abstraction Layer 2026-03-27 06:13:47 +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)