- Introduced new fields for descriptions in training parameters, improving clarity for AI context in `training_sessions_recent_json`.
- Added a glossary placeholder `{{training_parameters_glossary_md}}` to provide a Markdown table of active training parameters, including names and descriptions.
- Updated the `placeholder_resolver.py` and `activity_metrics.py` to support the new glossary functionality.
- Enhanced the `AdminActivityAttributeProfilesPage` to allow input for descriptions in both German and English, ensuring better context for metrics.
- Revised tests to validate the inclusion of description fields in parameter schema merges and metrics handling.
- Added details for Issue #53 regarding the audit of activity placeholders between Layer 1 and Layer 2a in `CLAUDE.md` and `README.md`.
- Updated the `ACTIVITY_SESSION_METRICS_EAV_AGENT_GUIDE.md` to reflect the new registry checks and dynamic session metrics handling.
- Revised the `placeholder_resolver.py` and `activity_metrics.py` to clarify the registration of activity metrics and session insights, ensuring consistency in the handling of dynamic keys and metrics.
- Improved descriptions and semantic contracts in `activity_session_insights.py` to better outline the structure and limitations of session data.
- Implemented JSON and CSV export features in `routers/exportdata.py`, including enriched session metrics for activity data.
- Updated `CLAUDE.md` to reflect new export capabilities and added details about the inclusion of `session_metrics_json` in the `activity.csv` file.
- Revised `ACTIVITY_PRODUCTION_ARCHITECTURE_AND_PHASES.md` to document the integration of export features and their relationship with session metrics.
- Improved the overall structure and clarity of the documentation to support the new export functionalities.
- Added new updates for Phase A and Phase B in `CLAUDE.md`, detailing the completion of Phase A and the introduction of enriched session metrics in the API response for `GET /api/activity`.
- Enhanced the README to include references to new documentation files for scalar canon and composite metrics implementation.
- Updated `ACTIVITY_PRODUCTION_ARCHITECTURE_AND_PHASES.md` to reflect the current status of phases and added navigation rules for data access.
- Improved `ACTIVITY_SESSION_METRICS_EAV_AGENT_GUIDE.md` with links to new implementation concepts for composite metrics.
- Refactored the activity router to integrate enriched session metrics into the activity list responses, ensuring a more comprehensive data presentation.
- Added new Admin UI for managing Activity Attribute Profiles.
- Enhanced ActivityPage to support dynamic loading and editing of session metrics.
- Updated API utility functions to handle new endpoints for training parameters and metrics.
- Improved form handling for session metrics, including validation and error management.
- Updated documentation to reflect new features and changes in session metrics handling.
- Introduced Activity Session Metrics for enhanced tracking of session data.
- Updated backend to support new API endpoints for managing session metrics.
- Added new Pydantic models for activity metrics and replaced metrics functionality.
- Enhanced data layer to include session metrics in recent training session data.
- Updated documentation to reflect changes in session metrics handling.
- Adjusted the total number of placeholders from 116 to 114 across various documentation and code files to reflect the current state of the system.
- Enhanced TDEE calculation logic in `nutrition_metrics.py` to prioritize Mifflin–St Jeor BMR with PAL when demographic data is available, with a fallback to a weight-based estimate.
- Updated placeholder registrations to ensure consistency with the new metadata structure and improved data handling.
- Revised documentation to clarify the authoritative source of placeholder metadata and the implications of the changes on existing functionalities.
These updates improve the accuracy and consistency of the placeholder system and enhance the nutritional assessment capabilities within the application.
- Added new functions for BMI and goal weight/body fat percentage retrieval in `body_metrics.py`.
- Introduced training frequency and inter-session gap calculations in `activity_metrics.py`.
- Updated placeholder registrations to include new metrics for nutrition and activity.
- Improved data handling in `placeholder_resolver.py` for better integration of new metrics.
- Enhanced documentation across modules to reflect the new functionalities.
These updates improve the accuracy and comprehensiveness of health and fitness assessments within the application.
- Introduced a single TDEE calculation based on current weight, replacing the fixed 2500 kcal value.
- Updated `get_energy_balance_data` to use daily totals for intake calculations and improved energy balance logic.
- Enhanced `get_nutrition_average_data` to calculate averages over calendar days instead of raw log entries.
- Adjusted placeholder resolution to ensure consistent metadata usage across requests.
- Fixed issues in the charts router to reflect the new energy balance logic and TDEE calculations.
These changes improve the accuracy of nutritional assessments and streamline data handling in the application.
- Added the Universal CSV Import module, including the `UNIVERSAL_CSV_IMPORT_AGENT_GUIDE.md` for guidelines on new import modules, executors, and templates.
- Updated relevant rules in `ARCHITECTURE.md` and `CODING_RULES.md` to include references to the new import module and its requirements.
- Revised the Gitea Issues Index to reflect the latest updates and added context for ongoing issues related to the CSV import functionality.
- Enhanced the README files to provide clearer navigation and documentation for the Universal CSV Import features.
- Added new "Dashboard-Lab-Widgets" entry to the documentation for better guidance on widget configuration.
- Updated the app_dashboard version to 1.8.0 to reflect the introduction of widget catalog features and layout entitlements.
- Enhanced widget catalog entries to include optional feature requirements for better visibility and access control.
- Improved the DashboardLabPage to manage widget visibility based on feature entitlements, ensuring a more tailored user experience.
- Updated the dashboard layout schema to include new widgets: DashboardGreeting, QuickWeightToday, BodyStatStrip, StatusPills, ProfileGoalsProgress, TrendKcalWeight, NutritionActivitySummary, RecoverySleepRest, and TrainingTypeDistribution.
- Improved widget configuration validation to support new features, including chart days for trend and distribution widgets.
- Refactored the default lab layout to align with the updated widget catalog and ensure proper default activation.
- Bumped app_dashboard version to 1.6.0 to reflect the addition of new widgets and configuration enhancements.
- Mark Sleep Module as complete (Phase 2b)
- Mark Rest Days as complete (Phase 2a)
- Mark Extended Vitals as complete (Phase 2d)
- Add migration details (010-014)
- HF-Zonen + Recovery Score marked as next (Phase 2e)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Backend:
- New endpoint POST /api/sleep/import/apple-health
- Parses Apple Health sleep CSV format
- Maps German phase names (Kern→light, REM→rem, Tief→deep, Wach→awake)
- Aggregates segments by night (wake date)
- Stores raw segments in JSONB (sleep_segments)
- Does NOT overwrite manual entries (source='manual')
Frontend:
- Import button in SleepPage with file picker
- Progress indicator during import
- Success/error messages
- Auto-refresh after import
Documentation:
- Added architecture rules reference to CLAUDE.md
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Successful production deployment confirmed (21.03.2026)
- Document complete learnable mapping system
- List all 4 migrations (004-007)
- Update roadmap: Phase 2 next
v9d Phase 1b complete:
- 29 training types
- DB-based learnable mapping system
- Apple Health import with German support
- Inline editing UX
- Auto-learning from bulk categorization
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Update status: Phase 1b complete on develop
- Document all 29 training types
- List all completed features
- Ready for testing and prod deployment
- Next: v9d Phase 2 (Ruhetage, Ruhepuls, HF-Zonen, Schlaf)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add get_training_type_for_apple_health() mapping function (23 workout types)
- CSV import now automatically assigns training_type_id/category/subcategory
- New endpoint: GET /activity/uncategorized (grouped by activity_type)
- New endpoint: POST /activity/bulk-categorize (bulk update training types)
- New component: BulkCategorize with two-level dropdown selection
- ActivityPage: new "Kategorisieren" tab for existing activities
- Update CLAUDE.md: v9d Phase 1b progress
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Training types system: ✅ deployed to dev
- Logout button: ✅ tested and working
- Migration 004: ✅ applied successfully (23 types)
- API endpoints: ✅ functional
Next: Phase 1b (UI integration)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Mark v9c as deployed to production (21.03.2026)
- Add BUG-005 to BUG-008 (login/verify navigation fixes)
- Document TrialBanner mailto change (on develop)
- Mark v9d as in progress
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Updated CLAUDE.md to reflect new database migrations system:
- Added backend/migrations/ to directory structure
- Added schema_migrations table to database schema
- Updated deployment section with migration workflow
- Added reference to .claude/docs/technical/MIGRATIONS.md
The migrations system automatically applies SQL files (XXX_*.sql pattern)
on container startup, with tracking in schema_migrations table.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Updates:
- Bug-Fixes: Added BUG-003 (chart extrapolation) and BUG-004 (history refresh)
- v9c Finalization: Self-registration + Trial UI marked as complete
- Moved open items to v9d
v9c is now feature-complete and ready for production deployment.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
CLAUDE.md erweitert:
- Verweis auf PENDING_FEATURES.md (ausstehende Enforcement-Items)
- Verweis auf KNOWN_ISSUES.md (Bug-Tracking)
Lokal erstellt (in .claude/):
.claude/docs/PENDING_FEATURES.md:
- Dashboard-Assistent (keine Badges)
- Import-Endpoints ohne Enforcement (Activity CSV, Nutrition CSV)
- Weitere potenzielle Limitierungen (Export-Wiederholungen, etc.)
- Implementierungs-Richtlinien für späteres Nachziehen
.claude/docs/KNOWN_ISSUES.md:
- BUG-001: Nutrition Import-Seite zeigt keine bisherigen Importe
(Daten vorhanden in Verlauf, aber Import-Panel zeigt keine Historie)
- Technische Schulden (alte AI-Limit-Checks, deprecated export_enabled)
- Bug-Meldung-Prozess dokumentiert
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Feature-Enforcement komplett:
- ✅ Phase 1-4 alle abgeschlossen
- 11 Features mit Monitoring, UI-Badges + Blocking
- Verweis auf neue FEATURE_ENFORCEMENT.md Dokumentation
Lokale Dokumentation erstellt:
- .claude/docs/architecture/FEATURE_ENFORCEMENT.md
- Vollständiger Guide für neue Feature-Integration
- Backend + Frontend Pattern mit Beispielen
- Checkliste + Debugging-Tipps
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Mark Feature-Enforcement Phase 2 as complete
- Add 4-phase model status overview
- Document feature_logger.py and JSON logging
- Update DB schema section with user_feature_usage
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
⚠️ MAJOR GAP IDENTIFIED: Feature limits don't work!
- Admin UI exists to configure limits
- But actual enforcement (check_feature_access) is NOT called in endpoints
- Users can exceed limits, use disabled features
Backend TODO (CRITICAL):
- Add feature checks to insights.py (AI analysis)
- Add feature checks to exportdata.py, importdata.py
- Add feature checks to nutrition.py, activity.py (imports)
- Add feature checks to photos.py, data entry endpoints
Frontend TODO (UX):
- Implement useFeatureAccess() hook
- Create <FeatureGate> component
- Hide disabled features
- Show limit counters & upgrade prompts
Estimated work: 2-3 hours
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replaced hardcoded tier limits with flexible Feature-Registry Pattern:
- features table: All limitable features (weight, AI, photos, export, etc.)
- tier_limits: Tier x Feature matrix (admin-configurable)
- user_feature_restrictions: Individual user overrides
- user_feature_usage: Usage tracking with configurable reset periods
Key capabilities:
- Add new limitable features without schema changes
- Admin UI for matrix-based limit configuration
- User-level overrides for specific restrictions
- Access hierarchy: User restriction > Tier limit > Feature default
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
