Implemented global quality_filter_level in user profiles for consistent
data filtering across all views (Dashboard, History, Charts, KI-Pipeline).
Backend changes:
- Migration 016: Add quality_filter_level column to profiles table
- quality_filter.py: Centralized helper functions for SQL filtering
- insights.py: Apply global filter in _get_profile_data()
- activity.py: Apply global filter in list_activity()
Frontend changes:
- SettingsPage.jsx: Add Datenqualität section with 4-level selector
- History.jsx: Use global quality filter from profile context
Filter levels: all, quality (good+excellent+acceptable), very_good
(good+excellent), excellent (only excellent)
Closes#31
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Problem: Backend crashed on startup due to evaluation import failure
Solution: Wrap evaluation_helper import in try/except
Changes:
- Import evaluation_helper with error handling
- Add EVALUATION_AVAILABLE flag
- All evaluation calls now check flag before executing
- System remains functional even if evaluation system unavailable
This prevents backend crashes if:
- Migrations haven't run yet
- Dependencies are missing
- Import errors occur
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Automatic evaluation on activity INSERT/UPDATE:
- create_activity(): Evaluate after manual creation
- update_activity(): Re-evaluate after manual update
- import_activity_csv(): Evaluate after CSV import (INSERT + UPDATE)
- bulk_categorize_activities(): Evaluate after bulk training type assignment
All evaluation calls wrapped in try/except to prevent activity operations
from failing if evaluation encounters an error. Only activities with
training_type_id assigned are evaluated.
Phase 1.2 complete ✅
## Next Steps (Phase 2):
Admin-UI for training type profile configuration
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Issue 1: Automatic training type mapping didn't work
- Root cause: Only English workout names were mapped
- Solution: Added 20+ German workout type mappings:
- "Traditionelles Krafttraining" → hypertrophy
- "Outdoor Spaziergang" → walk
- "Innenräume Spaziergang" → walk
- "Matrial Arts" → technique (handles typo)
- "Cardio Dance" → dance
- "Geist & Körper" → yoga
- Plus: Laufen, Gehen, Radfahren, Schwimmen, etc.
Issue 2: Reimporting CSV created duplicates without training types
- Root cause: Import always did INSERT with new UUID, no duplicate check
- Solution: Check if entry exists (profile_id + date + start_time)
- If exists: UPDATE with new data + training type mapping
- If new: INSERT as before
- Handles multiple workouts per day (different start times)
- "Skipped" count now includes updated entries
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Migration 005: Add cardio subcategories (Gehen, Tanzen)
- Migration 005: Add new category "Geist & Meditation" with 4 subcategories
(Meditation, Atemarbeit, Achtsamkeit, Visualisierung)
- Update categories endpoint with mind category metadata
- Update Apple Health mapping: dance → dance, add meditation/mindfulness
- 6 new training types total
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>
- 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>
Reverts all feature enforcement changes (commits 3745ebd, cbad50a, cd4d912, 8415509)
to restore original working functionality.
Issues caused by feature enforcement implementation:
- Export buttons disappeared and never reappeared
- KI analysis counter not incrementing
- New analyses not saving
- Pipeline appearing twice
- Many core features broken
Restored files to working state before enforcement implementation (commit 0210844):
- Backend: auth.py, insights.py, exportdata.py, importdata.py, nutrition.py, activity.py
- Frontend: Analysis.jsx, SettingsPage.jsx, api.js
- Removed: FeatureGate.jsx, useFeatureAccess.js
The original simple AI limit system (ai_enabled, ai_limit_day) is now active again.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
