Implemented progress tracking system for all goals.
**Backend:**
- Migration 030: goal_progress_log table with unique constraint per day
- Trigger: Auto-update goal.current_value from latest progress
- Endpoints: GET/POST/DELETE /api/goals/{id}/progress
- Pydantic Models: GoalProgressCreate, GoalProgressUpdate
**Features:**
- Manual progress tracking for custom goals (flexibility, strength, etc.)
- Full history with date, value, note
- current_value always reflects latest progress entry
- One entry per day per goal (unique constraint)
- Cascade delete when goal is deleted
**API:**
- GET /api/goals/{goal_id}/progress - List all entries
- POST /api/goals/{goal_id}/progress - Log new progress
- DELETE /api/goals/{goal_id}/progress/{progress_id} - Delete entry
**Next:** Frontend UI (progress button, modal, history list)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Enhanced fallback chain for goal display:
1. goal.name (custom name if set)
2. goal.label_de (from backend JOIN)
3. typeInfo.label_de (from goalTypesMap)
4. goal.goal_type (raw key as last resort)
Also use goal.icon from backend if available.
Fixes: Empty goal names showing blank in list
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Fixed multiple issues with relative weight sliders:
1. Sanitize focusData on load (ensure all 6 fields are numeric)
2. Sync focusTemp when clicking "Anpassen" button
3. Robust sum calculation filtering only *_pct fields
4. Convert NaN/undefined to 0 in all calculations
5. Safe Number() coercion before normalization
Fixes errors:
- "Gewichtung gesamt: NaN"
- "Input should be a valid integer, input: null"
- Prozent always showing 0%
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Improved UX for focus area configuration:
- Sliders now use relative weights (0-10) instead of percentages
- System automatically normalizes to percentages (sum=100%)
- Live preview shows "weight → percent%" (e.g., "5 → 50%")
- No more manual balancing required from user
User sets: Kraft=5, Ausdauer=3, Flexibilität=2
System calculates: 50%, 30%, 20%
Addresses user feedback: "Summe muss 100% sein" not user-friendly
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replaces single goal mode cards with weighted multi-focus system
UI Features:
- 6 sliders for focus dimensions (5% increments)
- Live sum calculation with visual feedback
- Validation: Sum must equal 100%
- Color-coded sliders per dimension
- Edit/Display mode toggle
- Shows derived values if not customized
UX Flow:
1. Default: Shows focus distribution (bars)
2. Click 'Anpassen': Shows sliders
3. Adjust percentages (sum = 100%)
4. Save → Updates backend + reloads
Visual:
- Active dimensions shown as colored cards (display mode)
- Gradient sliders with percentage labels (edit mode)
- Green box when sum = 100%, red when != 100%
- Info message if derived from old goal_mode
Complete v2.0:
✅ Backend (Migration 027, API, get_focus_weights V2)
✅ Frontend (Slider UI, state management, validation)
✅ Auto-migration (goal_mode → focus_areas)
Ready for: KI-Integration with weighted scoring
BREAKING: Replaces single 'primary goal' with weighted multi-goal system
Migration 027:
- New table: focus_areas (6 dimensions with percentages)
- Constraint: Sum must equal 100%
- Auto-migration: goal_mode → focus_areas for existing users
- Unique constraint: One active focus_areas per profile
Backend:
- get_focus_weights() V2: Reads from focus_areas table
- Fallback: Uses goal_mode if focus_areas not set
- New endpoints: GET/PUT /api/goals/focus-areas
- Validation: Sum=100, range 0-100
API:
- getFocusAreas() - Get current weights
- updateFocusAreas(data) - Update weights (upsert)
Focus dimensions:
1. weight_loss_pct (Fettabbau)
2. muscle_gain_pct (Muskelaufbau)
3. strength_pct (Kraftsteigerung)
4. endurance_pct (Ausdauer)
5. flexibility_pct (Beweglichkeit)
6. health_pct (Allgemeine Gesundheit)
Benefits:
- Multiple goals with custom priorities
- More flexible than single primary goal
- KI can use weighted scores
- Ready for Phase 0b placeholder integration
UI: Coming in next commit (slider interface)
NEW FEATURE: Filter conditions for goal types
Enables counting/aggregating specific subsets of data.
Example use case: Count only strength training sessions per week
- Create goal type with filter: {"training_type": "strength"}
- count_7d now counts only strength training, not all activities
Implementation:
- Migration 026: filter_conditions JSONB column
- Backend: Dynamic WHERE clause building from JSON filters
- Supports single value: {"training_type": "strength"}
- Supports multiple values: {"training_type": ["strength", "hiit"]}
- Works with all 8 aggregation methods (count, avg, sum, min, max)
- Frontend: JSON textarea with example + validation
- Pydantic models: filter_conditions field added
Technical details:
- SQL injection safe (parameterized queries)
- Graceful degradation (invalid JSON ignored with warning)
- Backward compatible (NULL filters = no filtering)
Answers user question: 'Kann ich Trainingstypen wie Krafttraining separat zählen?'
Answer: YES! 🎯
Admin can now easily create custom goal types:
- New endpoint /api/goals/schema-info with table/column metadata
- 9 tables documented (weight, caliper, activity, nutrition, sleep, vitals, BP, rest_days, circumference)
- Table dropdown with descriptions (e.g., 'activity_log - Trainingseinheiten')
- Column dropdown dependent on selected table
- All columns documented in German with data types
- Fields optional (for complex calculation formulas)
UX improvements:
- No need to guess table/column names
- Clear descriptions for each field
- Type-safe selection (no typos)
- Cascading dropdowns (column depends on table)
Closes user feedback: 'Admin weiß nicht welche Tabellen/Spalten verfügbar sind'
Removed faulty EXISTS check that was causing "0" error.
Added debug logging and better error messages.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Check if goal_type_definitions table exists
- Detailed error messages
- Fallback if goalTypes is empty
- Prevent form opening without types
Helps debugging Migration 024 issues.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Based on test feedback - 3 issues addressed:
1. Primary Toggle (Frontend Debug):
- Add console.log in handleSaveGoal
- Shows what data is sent to backend
- Helps debug if checkbox state is correct
2. Lean Mass Display (Backend Debug):
- Add error handling in lean_mass calculation
- Log why calculation fails (missing weight/bf data)
- Try-catch for value conversion errors
3. BP/Strength/Flexibility Warning (UI):
- Yellow warning box for incomplete goal types
- BP: "benötigt 2 Werte (geplant für v2.0)"
- Strength/Flexibility: "Keine Datenquelle"
- Transparent about limitations
Next: User re-tests with debug output to identify root cause.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Analysis Page:
- Add 'Ziele' button next to page title
- Direct navigation to /goals from analysis page
- Thematic link: goals influence AI analysis weighting
Goals Page:
- Fix text-align for text inputs (name, date, description)
- Text fields now left-aligned (numbers remain right-aligned)
- Better UX for non-numeric inputs
Navigation strategy: Goals accessible from Analysis page where
goal_mode directly impacts score calculation and interpretation.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Full-width inputs throughout the form
- Labels above inputs (mobile best practice)
- Section headers with emoji (🎯 Zielwert)
- Consistent spacing (marginBottom: 16)
- Read-only unit display as styled badge
- Primary goal checkbox in highlighted section
- Full-width buttons (btn-full class)
- Scrollable modal with top padding
- Error display above form
Matches VitalsPage design pattern for consistency.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Backend:
- Add ALL stage outputs to metadata (not just referenced ones)
- Format JSON with indent for readability
- Description: 'Zwischenergebnis aus Stage X'
Frontend:
- Stage raw values shown in collapsible <details> element
- JSON formatted in <pre> tag with syntax highlighting
- 'JSON anzeigen ▼' summary for better UX
Fixes: Stage X - Rohdaten now shows intermediate results
BUG: Wertetabelle wurde nicht angezeigt bei neuer Analyse
ROOT CAUSE: newResult hatte nur {scope, content}, kein metadata
FIX: Build metadata from result.debug.resolved_placeholders
- Für Base: direkt aus resolved_placeholders
- Für Pipeline: collect aus allen stages
- Metadata structure: {prompt_type, placeholders: {key: {value, description}}}
NOTE: Immediate preview hat keine descriptions (nur values)
Saved insights (nach loadAll) haben full metadata with descriptions aus DB
version: 9.6.2 (bugfix)
BUG: Wertetabelle wurde nicht angezeigt
FIX: enable_debug=true wenn save=true (für metadata collection)
- metadata wird nur gespeichert wenn debug aktiv
- jetzt: debug or save → metadata immer verfügbar
BUG: {{placeholder|d}} Modifier funktionierte nicht
ROOT CAUSE: catalog wurde bei Exception nicht zu variables hinzugefügt
FIX:
- variables['_catalog'] = catalog (auch wenn None)
- Warning-Log wenn catalog nicht geladen werden kann
- Debug warning wenn |d ohne catalog verwendet
BUG: Platzhalter in Pipeline-Stages am Ende statt an Cursor
FIX:
- stageTemplateRefs Map für alle Stage-Textareas
- onClick + onKeyUp tracking für Cursor-Position
- Insert at cursor: template.slice(0, pos) + placeholder + template.slice(pos)
- Focus + Cursor restore nach Insert
TECHNICAL:
- prompt_executor.py: Besseres Exception Handling für catalog
- UnifiedPromptModal.jsx: Refs für alle Template-Felder
- prompts.py: enable_debug=debug or save
version: 9.6.1 (bugfix)
module: prompts 2.1.1
Added "📋 Platzhalter exportieren" button in debug viewer:
- Exports all resolved placeholders with values
- Includes all available_variables
- For pipelines: exports per-stage placeholder data
- JSON format with timestamp and prompt metadata
- Filename: placeholders-{slug}-{date}.json
Use case: Development aid - see exactly what data is available
for prompt templates without null values.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
BREAKING: Analysis page switched from old /insights/run to new /prompts/execute
Changes:
- Backend: Added save=true parameter to /prompts/execute
- When enabled, saves final output to ai_insights table
- Extracts content from pipeline output (last stage)
- Frontend api.js: Added save parameter to executeUnifiedPrompt()
- Frontend Analysis.jsx: Switched from api.runInsight() to api.executeUnifiedPrompt()
- Transforms new result format to match InsightCard expectations
- Pipeline outputs properly extracted and displayed
Fixes: PIPELINE_MASTER responses (old template being sent to AI)
The old /insights/run endpoint used raw template field, which for the
legacy "pipeline" prompt was literally "PIPELINE_MASTER". The new
executor properly handles stages and data processing.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Removed conditional hiding of test button (prompt?.slug)
- Button now always visible with helpful tooltip
- handleTest already has save-check logic
Improves discoverability of test functionality.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Frontend: debug viewer now shows even when test fails
- Frontend: export button to download complete prompt config as JSON
- Backend: attach debug info to JSON validation errors
- Backend: include raw output and length in error details
Users can now debug failed prompts and export configs for analysis.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Backend: debug mode in prompt_executor with placeholder tracking
- Backend: show resolved/unresolved placeholders, final prompts, AI responses
- Frontend: test button in UnifiedPromptModal for saved prompts
- Frontend: debug output viewer with JSON preview
- Frontend: wider placeholder example fields in PlaceholderPicker
Resolves pipeline execution debugging issues.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- PlaceholderPicker: Example values in separate full-width row
- Analysis.jsx: Show only pipeline-type prompts
- Analysis.jsx: Remove base prompts and Prompts tab
- Cleanup: Remove PromptEditor component and unused imports
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Major improvements:
1. PlaceholderPicker component (new)
- Loads placeholders dynamically from backend catalog
- Grouped by categories: Profil, Körper, Ernährung, Training, etc.
- Search/filter functionality
- Shows live example values from user data
- Popup modal with expand/collapse categories
2. Replaced hardcoded placeholder chips
- 'Platzhalter einfügen' button opens picker
- Works in both base templates and pipeline inline templates
- Auto-closes after selection
3. Uses existing backend system
- GET /api/prompts/placeholders
- placeholder_resolver.py with PLACEHOLDER_MAP
- Dynamic, module-based placeholder system
- No manual updates needed when modules add new placeholders
Benefits:
- Scalable: New modules can add placeholders without frontend changes
- User-friendly: Search and categorization
- Context-aware: Shows real example values
- Future-proof: Backend-driven catalog
New features:
1. Placeholder chips now visible in pipeline inline templates
- Click to insert: weight_data, nutrition_data, activity_data, etc.
- Same UX as base prompts
2. Convert to Base Prompt button
- New icon (ArrowDownToLine) in actions column
- Only visible for 1-stage pipeline prompts
- Converts pipeline → base by extracting inline template
- Validates: must be 1-stage, 1-prompt, inline source
This allows migrated prompts to be properly categorized as base prompts
for reuse in other pipelines.
Fixes:
1. Template field in stages now full width (was too narrow)
2. Table horizontal scrollbar for mobile (overflow-x: auto)
3. Table min-width 900px to prevent icon clipping
4. Added clickable placeholder chips below base template
- Click to insert placeholders into template
- Shows: weight_data, nutrition_data, activity_data, sleep_data, etc.
UI now mobile-ready and more user-friendly.
Migration 018:
- Add display_name column to ai_prompts
- Migrate existing prompts from hardcoded SLUG_LABELS
- Fallback: name if display_name is NULL
Backend:
- PromptCreate/Update models with display_name field
- create/update/duplicate endpoints handle display_name
- Fallback: use name if display_name not provided
Frontend:
- PromptEditModal: display_name input field
- Placeholder picker: button + dropdown with all placeholders
- Shows example values, inserts {{placeholder}} on click
- Analysis.jsx: use display_name instead of SLUG_LABELS
User-facing changes:
- Prompts now show custom display names (e.g. '🍽️ Ernährung')
- Admin can edit display names instead of hardcoded labels
- Template editor has 'Platzhalter einfügen' button
- No more hardcoded SLUG_LABELS in frontend
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- PromptEditModal: all inputs/textareas now full-width
- Labels positioned above fields (not inline)
- Text left-aligned (was right-aligned)
- Added resize:vertical for textareas
- Side-by-side comparison with word-wrap
- Follows app-wide form design pattern
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Frontend components:
- PromptEditModal.jsx: Full editor with preview, generator, optimizer
- PromptGenerator.jsx: KI-assisted prompt creation from goal description
- Extended api.js with 10 new prompt endpoints
Navigation:
- Added /admin/prompts route to App.jsx
- Added KI-Prompts section to AdminPanel with navigation button
Features complete:
✅ Admin can create/edit/delete/duplicate prompts
✅ Category filtering and reordering
✅ Preview prompts with real user data
✅ KI generates prompts from goal + example data
✅ KI analyzes and optimizes existing prompts
✅ Side-by-side comparison original vs optimized
Ready for testing: http://dev.mitai.jinkendo.de/admin/prompts
Issue #28 Phase 2 complete - 13-18h estimated, ~14h actual
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Backend complete:
- Migration 017: Add category column to ai_prompts
- placeholder_resolver.py: 20+ placeholders with resolver functions
- Extended routers/prompts.py with CRUD endpoints:
* POST /api/prompts (create)
* PUT /api/prompts/:id (update)
* DELETE /api/prompts/:id (delete)
* POST /api/prompts/:id/duplicate
* PUT /api/prompts/reorder
* POST /api/prompts/preview
* GET /api/prompts/placeholders
* POST /api/prompts/generate (KI-assisted generation)
* POST /api/prompts/:id/optimize (KI analysis)
- Extended models.py with PromptCreate, PromptUpdate, PromptGenerateRequest
Frontend:
- AdminPromptsPage.jsx: Full CRUD UI with category filter, reordering
Meta-Features:
- KI generates prompts from goal description + example data
- KI analyzes and optimizes existing prompts
Next: PromptEditModal, PromptGenerator, api.js integration
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Removed local quality filter UI from History page since backend now
handles filtering globally. Activities are already filtered when loaded.
Changes:
- Removed qualityLevel local state
- Simplified filtA to only filter by period
- Replaced filter buttons with info banner showing active global filter
- Added 'Hier ändern →' link to Settings
User can now only change quality filter in Settings (global), not per
page. History shows which filter is active with link to change it.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The component was loading data from backend (which uses global filter)
but useEffect dependency didn't include quality_filter_level, so it
didn't reload when user changed the filter in Settings.
Added useProfile() context and activeProfile.quality_filter_level
to dependency array.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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>
Statt einfachem On/Off Toggle jetzt 4 Qualitätsstufen:
- 📊 Alle (kein Filter)
- ✓ Hochwertig (excellent + good + acceptable)
- ✓✓ Sehr gut (excellent + good)
- ⭐ Exzellent (nur excellent)
UI:
- Button-Group (Segmented Control) mit 4 Stufen
- Beschreibung welche Labels inkludiert werden
- Anzeige: X von Y Aktivitäten (wenn gefiltert)
User-Feedback: Stufenweiser Filter ist flexibler als binärer Toggle
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Problem: Errors during import were logged but not visible to user.
Changes:
- Backend: Collect error messages and return in response (first 10 errors)
- Frontend: Display error details in import result box
- UI: Red background when errors > 0, shows detailed error messages
Now users can see exactly which rows failed and why.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Full-width fields with section headers (mobile-friendly)
- Inline editing for all measurements (edit mode per row)
- Smart upsert: date change loads existing entry → update instead of duplicate
- Units integrated into labels (no overflow)
- Baseline: auto-detects existing entry and switches to update mode
- Blood Pressure: inline editing with all fields (date, time, BP, context, flags)
- Edit/Save/Cancel buttons with lucide-react icons
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Einfache 3-Tab-Struktur als Platzhalter:
- Morgenmessung (Baseline)
- Blutdruck (BP)
- Import
Verhindert Crash durch alte API-Calls.
Vollständige UI folgt nach Backend-Test.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
**Backend (insights.py):**
- Extended _get_profile_data() to fetch sleep, rest_days, vitals
- Added template variables for Sleep Module:
{{sleep_summary}}, {{sleep_detail}}, {{sleep_avg_duration}}, {{sleep_avg_quality}}
- Added template variables for Rest Days:
{{rest_days_summary}}, {{rest_days_count}}, {{rest_days_types}}
- Added template variables for Vitals:
{{vitals_summary}}, {{vitals_detail}}, {{vitals_avg_hr}}, {{vitals_avg_hrv}},
{{vitals_avg_bp}}, {{vitals_vo2_max}}
**Frontend (Analysis.jsx):**
- Added 12 new template variables to VARS list in PromptEditor
- Enables AI prompt creation for Sleep, Rest Days, and Vitals analysis
All modules now have AI evaluation support for future prompt creation.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Import endpoints for Omron blood pressure CSV (German date format)
- Import endpoints for Apple Health vitals CSV
- Import UI tab in VitalsPage with drag & drop for both sources
- German month mapping for Omron date parsing ("13 März 2026")
- Upsert logic preserves manual entries (source != 'manual')
- Import result feedback (inserted/updated/skipped/errors)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Form sections:
- Morgenmessung: Ruhepuls, HRV
- Blutdruck (Omron): Systolisch, Diastolisch, Puls
- Fitness & Sauerstoff (Apple Watch): VO2 Max, SpO2, Atemfrequenz
- Warnungen: Unregelmäßiger Herzschlag, Mögliches AFib (checkboxes)
Display:
- All vitals shown in entry list with icons
- Blood pressure highlighted in red (🩸)
- VO2 Max in green (🏃)
- Warnings in orange (⚠️)
Stats overview:
- Dynamic grid showing available metrics
- Avg blood pressure 7d
- Latest VO2 Max
- Avg SpO2 7d
Save/Update:
- Only non-empty fields included in payload
- At least one vital must be provided
Ready for manual testing + import implementation
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Only include fields in payload if they have values
- Prevents sending empty strings to backend (Pydantic validation error)
- Applies to both create and update operations
Error was: 'Input should be a valid integer, unable to parse string as an integer'
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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>
- Changed from 'folgt in nächster Iteration' to 'Analyse & Entwicklung, folgen später'
- Listed all 5 dimensions with clear purpose
- Clarifies that Minimum Requirements is sufficient for validation
- Other dimensions planned for v9e/v9f (ability development, AI prompts)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Changes:
- Responsive layout: fields stack vertically, no more cramped grid
- Clear labels: 'WAS?', 'BEDINGUNG', 'WICHTIGKEIT'
- Weight field only shown when using 'weighted_score' strategy
- Weight explanation: '1 = unwichtig, 10 = sehr wichtig'
- Success message replaces alert() dialog (auto-dismiss after 2s)
- Delete button moved to rule header
- Better visual hierarchy with sections
User feedback:
- Felder lassen sich auf Handy nicht gut bearbeiten
- Überschriften nicht eindeutig
- Gewicht-Feld Verwirrung
- Keine OK-Dialoge
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added label row: PARAMETER | OPERATOR | SCHWELLENWERT | GEWICHT
- Prevents confusion between threshold value and weight fields
- Better placeholder for value field (z.B. 90)
- Between operator: stacked vertical inputs with Min/Max labels
- User feedback: confusion between value and weight fields
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- ✓ Green: Successfully evaluated (excellent/good/acceptable/poor)
- ⚠ Orange: Training type assigned but not evaluated (no profile)
- ✕ Gray: No training type assigned
- Tooltip shows evaluation details on hover
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Shows first 10 errors with activity_id and error message
- Helps admin debug evaluation failures
- Errors shown in error box with details
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- ProfileBuilder now renders inline below training type row
- Type editor form also inline (not at top of page)
- Both forms appear at item position with marginTop: 8
- User feedback: 'Die Position bleibt die ganze Zeit gleich!'
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
MAJOR UX IMPROVEMENT - No more JSON editing required!
New Component: ProfileBuilder.jsx
- Visual form for configuring training type profiles
- Parameter dropdown (dynamically loaded from API)
- Operator dropdown (>=, <=, >, <, =, ≠, between)
- Value input (type-aware, between shows min/max)
- Weight slider (1-10)
- Add/remove rules visually
- Pass strategy selection
- Optional checkbox per rule
- Expandable sections
Integration: AdminTrainingTypesPage.jsx
- Added ProfileBuilder component
- ⚙️ Settings icon per training type
- Opens visual form when clicked
- ✓ Profil badge shows configured types
- Loads 16 parameters from API
- Save directly to training type
User Experience:
1. Go to /admin/training-types
2. Click ⚙️ icon on any type
3. Visual form opens
4. Add rules via dropdowns
5. Save → Profile configured!
NO JSON EDITING NEEDED! 🎉
Next: Add visual builders for other dimensions (Zones, Effects, etc.)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Fixed "U.get is not a function" error:
- Added missing API methods to api.js:
- getProfileStats()
- getProfileTemplates()
- applyProfileTemplate()
- getTrainingParameters()
- batchEvaluateActivities()
- Updated AdminTrainingProfiles.jsx to use correct methods
- Replaced api.get/post/put with specific named methods
Error resolved. Page should now load correctly.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
New admin page for profile configuration:
- AdminTrainingProfiles.jsx: Profile management interface
- Statistics dashboard (configured/unconfigured count)
- Training types list with profile status badges
- JSON-based profile editor (modal)
- One-click template application (Running, Meditation, Strength)
- Batch re-evaluation button for existing activities
- Link in AdminPanel under "Trainingstypen (v9d)"
Features:
- Apply templates with one click
- Edit profiles as JSON in modal
- Real-time validation
- Success/error messages
- Responsive layout
Route: /admin/training-profiles
Next: Test and iterate, then Phase 3 (User-UI for viewing results)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add RestDaysWidget component showing today's rest days with icons & colors
- Integrate widget into Dashboard (above training distribution)
- Highlight current day in RestDaysPage (accent border + HEUTE badge)
- Fix: Improve error handling in api.js (parse JSON detail field)
Part of v9d Phase 2 (Vitals & Recovery)
Changes:
1. Added sleep entry to CaptureHub (between Activity and Guide)
- Icon: 🌙
- Label: "Schlaf"
- Sub: "Schlafdaten erfassen oder Apple Health importieren"
- Color: #7B68EE (purple)
- Route: /sleep
2. Removed sleep from main bottom navigation
- Nav link removed (was 6 items → now 5 items)
- Moon icon import removed (no longer used)
- Route /sleep remains active (Widget + CaptureHub links work)
3. Widget link unchanged
- SleepWidget.jsx still links to /sleep ✓
- Dashboard → Widget → /sleep works
Result:
- Consistent UX: All data entry under "Erfassen"
- Clean navigation: 5 main nav items (was 6)
- Sleep accessible via: Dashboard Widget or Erfassen → Schlaf
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Conceptual change: duration_minutes = actual sleep time (not time in bed)
Backend:
- Plausibility check: deep + rem + light = duration (awake separate)
- Import: duration = deep + rem + light (without awake)
- Updated error message: clarifies awake not counted
Frontend:
- Label: "Schlafdauer (reine Schlafzeit, Minuten)"
- Auto-calculate: bedtime-waketime minus awake_minutes
- Plausibility check: only validates sleep phases (not awake)
- Both NewEntry and Edit mode updated
Rationale:
- Standard in sleep tracking (Apple Health shows "Sleep", not "Time in Bed")
- Clearer semantics: duration = how long you slept
- awake_minutes tracked separately for analysis
- More intuitive for users
Example:
- Time in bed: 22:00 - 06:00 = 480 min (8h)
- Awake phases: 30 min
- Sleep duration: 450 min (7h 30min) ✓
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>
- Creates rest_days table for rest day tracking
- Creates vitals_log table for resting HR + HRV
- Creates weekly_goals table for training planning
- Extends profiles with hf_max and sleep_goal_minutes columns
- Extends activity_log with avg_hr and max_hr columns
- Fixes sleep_goal_minutes missing column error in stats endpoint
- Includes stats error handling in SleepWidget
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
If stats endpoint fails, page will still load with empty stats.
This prevents 500 errors from blocking the entire sleep page.
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>
- Edit form now appears at the position of the item being edited
- No scrolling needed - stays at same location
- Matches ActivityPage inline editing behavior
- Visual indicator: Accent border when editing
- Create form still appears at top (separate from list)
Benefits:
- Better UX - no need to scroll to top
- Easier to find edited item after saving
- Consistent with rest of app
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Load training categories in ActivityPage
- Display colored badge next to activity name in list view
- Badge shows category icon + name with category color
- Only shown if training_category is set
- Completes v9d Phase 1b
Ready for testing and production deployment.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
UX improvements based on user feedback:
1. Move TrainingTypeDistribution from ActivityPage to History page
- ActivityPage is for data entry, not visualization
- History (Verlauf) shows personal development/progress
- Chart now respects period selector (7/30/90/365 days)
2. Improve AdminTrainingTypesPage form styling
- All input fields now full width (100%)
- Labels changed from inline to headings above fields
- Textareas increased from 2 to 4 rows
- Added resize: vertical for textareas
- Increased gap between fields from 12px to 16px
- Follows style guide conventions
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>
- 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>
Phase 1b - UI Integration:
===========================
ActivityPage:
- Replace old activity type dropdown with TrainingTypeSelect
- Add training_type_id, training_category, training_subcategory to form
- Two-level selection (category → subcategory)
Dashboard:
- Add TrainingTypeDistribution card (pie chart)
- Shows last 28 days activity distribution by type
- Conditional rendering (only if activities exist)
Still TODO:
- History: Add type badge display (next commit)
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>
Replace subscription selection link with email contact for now.
Future: Central subscription system on jinkendo.de for all apps.
Button text:
- "Abo wählen" → "Abo anfragen"
- "Jetzt upgraden" → "Kontakt aufnehmen"
Opens mailto:mitai@jinkendo.de with pre-filled subject and body.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
1. Parse JSON error responses to extract 'detail' field
Fixes: {"detail":"..."} shown as raw JSON instead of clean text
2. Redirect 'already_verified' to '/' instead of '/login'
Fixes: Users land on empty page when already logged in
3. Change button text: "Jetzt anmelden" → "Weiter zum Dashboard"
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
1. Use window.location.href instead of navigate() for reliable redirect
2. Improve backend error message for already-used verification tokens
3. Show user-friendly message when token was already verified
4. Reduce redirect delay from 2s to 1.5s for better UX
Fixes:
- Empty page after email verification
- Generic error when clicking verification link twice
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
LoginScreen was not navigating after login, leaving users on empty page.
Now explicitly redirects to '/' (dashboard) after successful login.
This fixes the "empty page after first login" issue.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add .catch() handler to load() Promise to prevent infinite loading state
- Add console.log statements for component lifecycle debugging
- Make EmailVerificationBanner/TrialBanner conditional on activeProfile
- Ensure greeting header always renders with fallback
This should fix the empty dashboard issue for new users.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
