Commit Graph

5 Commits

Author SHA1 Message Date
500de132b9 feat: AI-Prompts flexibilisierung - Backend & Admin UI (Issue #28, Part 1)
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>
2026-03-24 15:32:25 +01:00
302948a248 fix: add quality_filter_level to ProfileUpdate model (Issue #31)
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The frontend was sending quality_filter_level to the backend, but the
Pydantic ProfileUpdate model didn't include this field, so it was
silently ignored. Profile updates never actually saved the filter.

This is why the charts didn't react to filter changes - the backend
database was never updated.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 06:44:05 +01:00
410b2ce308 feat(v9d): add training types system + logout button
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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>
2026-03-21 13:05:33 +01:00
c1562a27f4 feat: add self-registration with email verification
Backend:
- New endpoint: POST /api/auth/register
- New endpoint: GET /api/auth/verify/{token}
- Migration: Add email_verified, verification_token, verification_expires
- Helper: send_email() for reusable SMTP
- Validation: email format, password length (min 8), name
- Auto-login after verification (returns session token)
- Rate limit: 3 registrations per hour per IP

Features:
- Verification token valid for 24h
- Existing users marked as verified (grandfather clause)
- SMTP configured via .env (SMTP_HOST, SMTP_USER, SMTP_PASS)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-21 09:53:11 +01:00
c7d283c0c9 refactor: extract Pydantic models to models.py
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Phase 1.3 - Data Models isolieren

NEUE DATEI:
- backend/models.py: Alle Pydantic Models (122 Zeilen)
  * ProfileCreate, ProfileUpdate
  * WeightEntry, CircumferenceEntry, CaliperEntry
  * ActivityEntry, NutritionDay
  * LoginRequest, PasswordResetRequest, PasswordResetConfirm
  * AdminProfileUpdate

ÄNDERUNGEN:
- backend/main.py:
  * Import models from models.py
  * Entfernt: ~60 Zeilen Model-Definitionen
  * Von 2025 → 1878 Zeilen (-147 Zeilen / -7%)

PROGRESS:
 db.py: Database + init_db
 auth.py: Auth functions + dependencies
 models.py: Pydantic schemas

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 09:53:51 +01:00