- Updated the CSV import logic to merge active training parameters with static fields for the activity module, improving field mapping accuracy.
- Enhanced validation functions to incorporate dynamic field definitions based on active training parameters, ensuring better data integrity during imports.
- Refactored related functions to streamline the process of handling CSV templates and field mappings, improving maintainability and clarity.
- Added new utility functions for resolving activity log column patches and upserting session metrics from CSV, enhancing the overall import functionality.
- 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.
- 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 permissions for editing and deleting CSV field mappings.
- Created type converter for CSV cells to handle various data types.
- Implemented database migrations for CSV field mappings and import logs.
- Seeded initial system templates for nutrition and activity data imports.
- Developed admin endpoints for managing system CSV templates.
- Introduced user endpoints for CSV import analysis and mapping retrieval.
- Added tests for core CSV parser functionalities, including delimiter detection and value conversion.
- Added new routes and API endpoints for the Dashboard-Lab layout in the app.
- Updated main.py to include the app_dashboard router for backend integration.
- Enhanced App.jsx to include a route for the DashboardLabPage.
- Modified SettingsPage to add a link to the new Dashboard-Lab layout, improving user access to dashboard features.
- Updated version.py to reflect the new app_dashboard module version.
- Added new routes and API endpoints for managing reference value types in the admin section.
- Updated the frontend to include navigation and components for reference value types management.
- Enhanced the backend to support the new reference value types in the data layer and versioning.
- Introduced new routes and API endpoints for managing personal reference values.
- Updated the SettingsPage to include a section for reference values with navigation to manage them.
- Enhanced the backend to support reference values in the data layer and versioning.
- Added necessary imports and UI components for a seamless user experience.
Backend:
- New router: vitals.py with CRUD endpoints
- GET /api/vitals (list)
- GET /api/vitals/by-date/{date}
- POST /api/vitals (upsert)
- PUT /api/vitals/{id}
- DELETE /api/vitals/{id}
- GET /api/vitals/stats (7d/30d averages, trends)
- Registered in main.py
Frontend:
- VitalsPage.jsx with manual entry form
- List with inline editing
- Stats overview (averages, trend indicators)
- Added to CaptureHub (❤️ icon)
- Route /vitals in App.jsx
API:
- Added vitals methods to api.js
v9d Phase 2d - Vitals tracking complete
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add sleep_log table with JSONB sleep_segments (Migration 009)
- Add sleep router with CRUD + stats endpoints (7d avg, 14d debt, trend, phases)
- Add SleepPage with quick/detail entry forms and inline edit
- Add SleepWidget to Dashboard showing last night + 7d average
- Add sleep navigation entry with Moon icon
- Register sleep router in main.py
- Add 9 new API methods in api.js
Phase 2b complete - ready for testing on dev
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Backend (v9d Phase 1b):
- Migration 006: Add abilities JSONB column + descriptions
- admin_training_types.py: Full CRUD endpoints for training types
- List, Get, Create, Update, Delete
- Abilities taxonomy endpoint (5 dimensions: koordinativ, konditionell, kognitiv, psychisch, taktisch)
- Validation: Cannot delete types in use
- Register admin_training_types router in main.py
Frontend:
- AdminTrainingTypesPage: Full CRUD UI
- Create/edit form with all fields (category, subcategory, names, icon, descriptions, sort_order)
- List grouped by category with color coding
- Delete with usage check
- Note about abilities mapping coming in v9f
- Add TrainingTypeDistribution to ActivityPage stats tab
- Add admin link in AdminPanel (v9d section)
- Update api.js with admin training types methods
Notes:
- Abilities mapping UI deferred to v9f (flexible prompt system)
- Placeholders (abilities column) in place for future AI analysis
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Phase 1: Training Types Basis
=============================
Backend:
- Migration 004: training_types table + seed data (24 types)
- New router: /api/training-types (grouped, flat, categories)
- Extend activity_log: training_type_id, training_category, training_subcategory
- Extend ActivityEntry model: support training type fields
Frontend:
- TrainingTypeSelect component (two-level dropdown)
- TrainingTypeDistribution component (pie chart)
- API functions: listTrainingTypes, listTrainingTypesFlat, getTrainingCategories
Quick Win: Logout Button
========================
- Add LogOut icon button in app header
- Confirm dialog before logout
- Redirect to / after logout
- Hover effect: red color on hover
Not yet integrated:
- TrainingTypeSelect not yet in ActivityPage form
- TrainingTypeDistribution not yet in Dashboard
(will be added in next commit)
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>
PROBLEM:
- Backend crasht beim Start auf Prod
- Login zeigt HTML statt JSON (Backend nicht erreichbar)
- Ursache: init_db() wirft Exception beim Startup
FIX:
1. startup_event() wrapped in try-except (non-fatal)
2. init_db() prüft ob ai_prompts Tabelle existiert
3. init_db() hat eigenen try-except
4. Bessere Fehlermeldungen in stdout
ERGEBNIS:
- Backend startet auch wenn init_db() fehlschlägt
- Pipeline-Prompt kann manuell angelegt werden falls nötig
- Login funktioniert wieder
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- /api/prompts checkt nun ob User admin ist
- Admins sehen ALLE Prompts (inkl. pipeline_ und inaktive)
- Normale User sehen nur aktive Einzelanalysen (wie bisher)
- Frontend (Analysis.jsx) zeigt Pipeline-Prompts bereits korrekt:
* Gruppiert nach "Einzelanalysen" und "Mehrstufige Pipeline"
* JSON-Prompts (Stage 1) mit oranger Border und Badge
* Warnung über JSON-Format bereits vorhanden
- CSS-Variablen --warn, --warn-bg, --warn-text bereits definiert
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Backend: POST /api/import/zip endpoint with validation and rollback
- CSV import with ON CONFLICT DO NOTHING for duplicate detection
- Photo import with existence check
- AI insights import
- Frontend: file upload UI in SettingsPage
- Import summary showing count per category
- Full transaction rollback on error
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
PostgreSQL returns dob as datetime.date object, not string.
Changed from prof['dob'][:4] to prof['dob'].year
Error was: TypeError: 'datetime.date' object is not subscriptable
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Fixed TypeError when preparing AI prompt template variables.
PostgreSQL returns NUMERIC columns as decimal.Decimal, not float.
**Fixed in _prepare_template_vars:**
- Weight calculations (protein targets, delta)
- Nutrition averages (kcal, protein, fat, carbs)
- Activity totals (kcal_active)
All Decimal values now converted to float before math operations.
Error was: "TypeError: unsupported operand type(s) for *: 'decimal.Decimal' and 'float'"
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Fixed 11 critical endpoint mismatches found during codebase audit.
**Renamed Endpoints (consistency):**
- /api/ai/analyze/{slug} → /api/insights/run/{slug}
- /api/ai/analyze-pipeline → /api/insights/pipeline
- /api/auth/password-reset-request → /api/auth/forgot-password
- /api/auth/password-reset-confirm → /api/auth/reset-password
- /api/admin/test-email → /api/admin/email/test
**Added Missing Endpoints:**
- POST /api/auth/pin (change PIN/password for current user)
- PUT /api/admin/profiles/{id}/permissions (set permissions)
- PUT /api/admin/profiles/{id}/email (set email)
- PUT /api/admin/profiles/{id}/pin (admin set PIN)
- GET /api/admin/email/status (check SMTP config)
- PUT /api/prompts/{id} (edit prompt templates, admin only)
- GET /api/export/json (export all data as JSON)
- GET /api/export/zip (export data + photos as ZIP)
**Updated:**
- Added imports: json, zipfile, Response
- Fixed admin email test endpoint to accept dict body
All frontend API calls now have matching backend implementations.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add GET /api/insights (returns all insights for profile)
- Add DELETE /api/insights/{id} (delete by ID, not scope)
- Frontend Analysis.jsx needs these endpoints to load/delete insights
Fixes 404 error preventing prompts from displaying.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Change WHERE active=1 to WHERE active=true (PostgreSQL uses boolean)
- Change endpoint from /api/ai/prompts to /api/prompts (simpler path)
- Fixed 5 occurrences across prompt-related queries
This fixes the issue where no prompts were returned, causing empty
prompt list in Admin and no AI analysis options.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add GET /api/insights/latest (returns latest 10 insights)
- Add GET /api/auth/status (health check endpoint)
These endpoints were called by frontend but returned 404,
causing uncaught promise errors that blocked page loading.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
RealDictCursor returns dicts, not tuples. Cannot use [0] for index access.
Changed all COUNT(*) to COUNT(*) as count and access via ['count'].
Fixes: KeyError: 0 on cur.fetchone()[0]
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
All conn.cursor() calls replaced with get_cursor(conn) to enable
dict-like row access (prof['pin_hash'] instead of prof[column_index]).
This fixes KeyError when accessing PostgreSQL query results.
Fixes: 'tuple' object has no attribute '__getitem__' with string keys
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
