3 Commits

Author	SHA1	Message	Date
Lars	1298bd235f	feat: add structured JSON logging for all feature usage (Phase 2) ... - Create feature_logger.py with JSON logging infrastructure - Add log_feature_usage() calls to all 9 routers after check_feature_access() - Logs written to /app/logs/feature-usage.log - Tracks all usage (not just violations) for future analysis - Phase 2: Non-blocking monitoring complete Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-20 22:18:12 +01:00
Lars	ddcd2f4350	feat: v9c Phase 2 - Backend Non-Blocking Logging (12 Endpoints) ... PHASE 2: Backend Non-Blocking Logging - KOMPLETT Instrumentierte Endpoints (12): - Data: weight, circumference, caliper, nutrition, activity, photos (6) - AI: insights/run/{slug}, insights/pipeline (2) - Export: csv, json, zip (3) - Import: zip (1) Pattern implementiert: - check_feature_access() VOR Operation (non-blocking) - [FEATURE-LIMIT] Logging wenn Limit überschritten - increment_feature_usage() NACH Operation - Alte Permission-Checks bleiben aktiv Features geprüft: - weight_entries, circumference_entries, caliper_entries - nutrition_entries, activity_entries, photos - ai_calls, ai_pipeline - data_export, data_import Monitoring: 1-2 Wochen Log-Only-Phase Logs zeigen: Wie oft würde blockiert werden? Nächste Phase: Frontend Display (Usage-Counter) Phase 1 (Cleanup) + Phase 2 (Logging) vollständig! Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-20 21:59:33 +01:00
Lars	b4a1856f79	refactor: modular backend architecture with 14 router modules ... Phase 2 Complete - Backend Refactoring: - Extracted all endpoints to dedicated router modules - main.py: 1878 → 75 lines (-96% reduction) - Created modular structure for maintainability Router Structure (60 endpoints total): ├── auth.py - 7 endpoints (login, logout, password reset) ├── profiles.py - 7 endpoints (CRUD + current user) ├── weight.py - 5 endpoints (tracking + stats) ├── circumference.py - 4 endpoints (body measurements) ├── caliper.py - 4 endpoints (skinfold tracking) ├── activity.py - 6 endpoints (workouts + Apple Health import) ├── nutrition.py - 4 endpoints (diet + FDDB import) ├── photos.py - 3 endpoints (progress photos) ├── insights.py - 8 endpoints (AI analysis + pipeline) ├── prompts.py - 2 endpoints (AI prompt management) ├── admin.py - 7 endpoints (user management) ├── stats.py - 1 endpoint (dashboard stats) ├── exportdata.py - 3 endpoints (CSV/JSON/ZIP export) └── importdata.py - 1 endpoint (ZIP import) Core modules maintained: - db.py: PostgreSQL connection + helpers - auth.py: Auth functions (hash, verify, sessions) - models.py: 11 Pydantic models Benefits: - Self-contained modules with clear responsibilities - Easier to navigate and modify specific features - Improved code organization and readability - 100% functional compatibility maintained - All syntax checks passed Updated CLAUDE.md with new architecture documentation. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-19 11:15:35 +01:00