Features:
- Import history panel showing all CSV imports with date, count, and range
- Edit/delete functionality for nutrition entries (inline editing)
- New backend endpoints: GET /import-history, PUT /{id}, DELETE /{id}
UI Changes:
- Import history displayed under import panel
- "Daten" tab now has edit/delete buttons per entry
- Inline form for editing macros (kcal, protein, fat, carbs)
- Confirmation dialog for deletion
Backend:
- nutrition.py: Added import_history, update_nutrition, delete_nutrition endpoints
- Groups imports by created date to show history
Frontend:
- NutritionPage: New DataTab and ImportHistory components
- api.js: Added nutritionImportHistory, updateNutrition, deleteNutrition
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Problem:
- /api/nutrition/weekly crashed with 500 Internal Server Error
- TypeError: strptime() argument 1 must be str, not datetime.date
Root Cause:
- d['date'] from PostgreSQL is already datetime.date object
- datetime.strptime() expects string input
- Line 156: wk=datetime.strptime(d['date'],'%Y-%m-%d').strftime('%Y-W%V')
Solution:
- Added type check before strptime()
- If date already has strftime method → use directly
- Else → parse as string first
- Works with both datetime.date objects and strings
Tested:
- /nutrition page loads without error
- Weekly aggregation works correctly
- Chart displays nutrition data
Closes: BUG-001
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add user-facing usage overview endpoint
- Returns all features with usage, limits, reset info
- Fully dynamic - automatically includes new features
- Phase 3: Frontend Display preparation
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>
Fixes two critical bugs in AI analysis storage:
1. History now works - analyses are saved, not overwritten
- Removed DELETE statements before INSERT in insights.py
- All analyses are now preserved per scope
- Displayed in descending order by creation date
2. Pipeline saves under correct scope 'pipeline' instead of 'gesamt'
- Changed scope from 'gesamt' to 'pipeline' in pipeline endpoint
- Pipeline results now appear under correct category in history
3. Fixed pipeline appearing twice in UI
- Filter now excludes both 'pipeline_*' and 'pipeline' from individual list
- Pipeline only appears in dedicated section at top
Changes:
- backend/routers/insights.py: Removed DELETE, changed scope to 'pipeline'
- frontend/src/pages/Analysis.jsx: Fixed filter to exclude 'pipeline'
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>
Critical fixes for feature enforcement:
- Add GET /api/features/{feature_id}/check-access endpoint (was missing!)
- Add migration for missing features: data_export, csv_import
- These features were used in frontend but didn't exist in DB
This fixes:
- "No analysis available" when setting KI limit
- Export features not working
- Frontend calling non-existent API endpoint
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Remove active=true filter - admins need to configure all tiers
- Add reset_period to features query for frontend display
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
New router: routers/coupons.py
Admin endpoints:
- GET /api/coupons - List all coupons with stats
- POST /api/coupons - Create new coupon
- PUT /api/coupons/{id} - Update coupon
- DELETE /api/coupons/{id} - Soft-delete (set active=false)
- GET /api/coupons/{id}/redemptions - Redemption history
User endpoints:
- POST /api/coupons/redeem - Redeem coupon code
Features:
- Three coupon types: single_use, period, wellpass
- Wellpass logic: Pauses existing personal grants, resumes after expiry
- Max redemptions limit (NULL = unlimited)
- Validity period checks
- Activity logging
- Duplicate redemption prevention
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
New router: routers/subscription.py
Endpoints:
- GET /api/subscription/me - Own subscription info (tier, trial, grants)
- GET /api/subscription/usage - Feature usage with limits
- GET /api/subscription/limits - All feature limits for current tier
Features:
- Shows effective tier (considers access_grants)
- Lists active access grants (from coupons, trials)
- Per-feature usage tracking
- Email verification status
Uses new middleware: get_effective_tier(), check_feature_access()
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
