commit cff6aa8289ec9496b61dd59cff19df6c16f354a1 Author: Bruno Charest Date: Thu Jul 30 23:06:37 2026 -0400 Add initial project diff --git a/.env.example b/.env.example new file mode 100644 index 0000000..5d40c9e --- /dev/null +++ b/.env.example @@ -0,0 +1,32 @@ +# HabitForge Environment Configuration +# Copy this file to .env.development, .env.staging, or .env.production +# and fill in the actual values. + +# Security +SECRET_KEY=your-secret-key-here-generate-with-python-secrets-token_urlsafe32 +ALGORITHM=HS256 +ACCESS_TOKEN_EXPIRE_MINUTES=30 + +# Database +# For development (SQLite): +DATABASE_URL=sqlite:///./data/habitforge.db +# For production (PostgreSQL): +# DATABASE_URL=postgresql://user:password@localhost:5432/habitforge + +# CORS (Comma-separated list of allowed origins) +CORS_ORIGINS=http://localhost:8000,http://localhost:3000,https://yourdomain.com + +# Google OAuth +GOOGLE_CLIENT_ID=your-google-client-id +GOOGLE_CLIENT_SECRET=your-google-client-secret +GOOGLE_REDIRECT_URI=http://localhost:8000/api/google/callback + +# Rate Limiting +RATE_LIMIT_ENABLED=true +RATE_LIMIT_TIMES=60 +RATE_LIMIT_SECONDS=60 + +# Application +APP_NAME=HabitForge API +APP_VERSION=1.0.0 +DEBUG=true diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..49b64bf --- /dev/null +++ b/.gitattributes @@ -0,0 +1 @@ +frontend/static/*.gif filter=lfs diff=lfs merge=lfs -text diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..8fb27bd --- /dev/null +++ b/.gitignore @@ -0,0 +1,93 @@ +# Environment files +.env +.env.development +.env.staging +.env.production +.env.local + +# Python +__pycache__/ +*.py[cod] +*$py.class +*.so +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +*.egg-info/ +.installed.cfg +*.egg + +# Virtual environments +venv/ +ENV/ +env/ +.venv + +# Testing +.pytest_cache/ +.coverage +htmlcov/ +.tox/ +.nox/ +coverage.xml +*.cover +.hypothesis/ + +# IDEs +.vscode/ +.idea/ +*.swp +*.swo +*~ +.DS_Store + +# Database +data/*.db +data/*.db-shm +data/*.db-wal +*.sqlite +*.sqlite3 + +# Logs +*.log +logs/ + +# Secrets +backend/client_secret*.json +backend/credentials.json +*.pem +*.key + +# Node modules (if frontend uses npm) +node_modules/ +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +# Docker +docker-compose.override.yml + +# OS +.DS_Store +Thumbs.db + +# Temporary files +*.tmp +*.bak +*.swp + +# Large data exports +export-zepp/ + +# Gradle build artifacts +android-companion/.gradle/ diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 0000000..734a0d0 --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,19 @@ +# Pre-commit configuration for HabitForge + +repos: + - repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.1.9 + hooks: + - id: ruff + name: Ruff Linter + args: [--fix] + - id: ruff-format + name: Ruff Formatter + + - repo: https://github.com/pre-commit/mirrors-mypy + rev: v1.8.0 + hooks: + - id: mypy + name: MyPy type checker + additional_dependencies: [pydantic] + args: [--ignore-missing-imports] diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..d8ed71e --- /dev/null +++ b/Dockerfile @@ -0,0 +1,20 @@ +FROM python:3.10-slim + +WORKDIR /app + +# Install system dependencies for potential library compilation (bcrypt, cryptography) +RUN apt-get update && apt-get install -y \ + build-essential \ + libffi-dev \ + && rm -rf /var/lib/apt/lists/* + +COPY requirements.txt . +RUN pip install --no-cache-dir -r requirements.txt + +COPY . . + +# Expose port +EXPOSE 8000 + +# Run commands +CMD ["uvicorn", "backend.main:app", "--host", "0.0.0.0", "--port", "8000"] diff --git a/Makefile b/Makefile new file mode 100644 index 0000000..1ed6552 --- /dev/null +++ b/Makefile @@ -0,0 +1,54 @@ +.PHONY: dev test lint format migrate help + +# Development +dev: + uvicorn backend.main:app --host 0.0.0.0 --port 8000 --reload + +# Testing +test: + pytest tests/ -v --cov=backend --cov-report=html + +# Linting +lint: + ruff check backend/ + mypy backend/ + +# Formatting +format: + ruff format backend/ + ruff check --fix backend/ + +# Database migrations +migrate: + alembic upgrade head + +# Docker +docker-up: + docker-compose -f docker-compose.dev.yml up -d + +docker-down: + docker-compose -f docker-compose.dev.yml down + +docker-logs: + docker-compose -f docker-compose.dev.yml logs -f + +# Production +docker-prod-up: + docker-compose -f docker-compose.prod.yml up -d + +docker-prod-down: + docker-compose -f docker-compose.prod.yml down + +# Help +help: + @echo "Available commands:" + @echo " dev - Start development server" + @echo " test - Run tests" + @echo " lint - Run linter" + @echo " format - Format code" + @echo " migrate - Run database migrations" + @echo " docker-up - Start Docker containers (dev)" + @echo " docker-down - Stop Docker containers (dev)" + @echo " docker-logs - Show Docker logs (dev)" + @echo " docker-prod-up - Start Docker containers (prod)" + @echo " docker-prod-down - Stop Docker containers (prod)" diff --git a/README.md b/README.md new file mode 100644 index 0000000..ea00d67 --- /dev/null +++ b/README.md @@ -0,0 +1,416 @@ +# HabitForge 🎯 + +HabitForge is a powerful, self-hosted habit tracking and gamification platform designed to help users build and maintain consistent routines. It combines a robust Python backend with a dynamic, modern frontend to provide a premium user experience. + +![License](https://img.shields.io/badge/license-MIT-blue.svg) +![Python](https://img.shields.io/badge/python-3.9+-blue.svg) +![FastAPI](https://img.shields.io/badge/FastAPI-0.109.0-009688.svg) +![TailwindCSS](https://img.shields.io/badge/TailwindCSS-CDN-38bdf8.svg) + +## 📖 Overview + +HabitForge allows users to create custom challenges (daily, weekly, monthly), track their progress with detailed analytics, and stay motivated through gamification elements like badges and streaks. The application is built with a **Mobile-First** design philosophy, ensuring a seamless experience across all devices. + +### Key Features + +* **🏆 Gamification:** Earn badges for streaks, total reps, and consistency. +* **📊 Analytics:** Visual charts (reps, completion rates) and consistency heatmaps. +* **🔁 Flexible Challenges:** Support for Daily, Weekly (specific days), and Monthly targets. +* **🧠 Smart Tracking:** Tracks reps, completion status, and optional notes per day. +* **🌗 Dark Mode:** Fully supported dark/light themes with persistence. +* **đŸ“± Responsive UI:** Built with Tailwind CSS for a fluid experience on mobile and desktop. +* **🔐 Authentication:** Secure JWT-based user authentication system. +* **đŸ–±ïž Drag & Drop:** Reorder challenges easily to prioritize your focus. + +--- + +## 🛠 Tech Stack + +### Backend +* **Framework:** [FastAPI](https://fastapi.tiangolo.com/) (High performance, easy to learn) +* **Database ORM:** [SQLAlchemy](https://www.sqlalchemy.org/) +* **Database:** SQLite (Default, stored in `./data/habitforge.db`) +* **Authentication:** OAuth2 with Password (and hashing via Argon2/Passlib) +* **Schema Validation:** Pydantic Models + +### Frontend +* **Core:** Vanilla JavaScript (ES6+) +* **Styling:** [Tailwind CSS](https://tailwindcss.com/) (via CDN for simplicity) +* **Icons:** FontAwesome 6 +* **Animations:** Anime.js +* **Charts:** Chart.js +* **Drag & Drop:** SortableJS + +### Infrastructure +* **Containerization:** Docker & Docker Compose +* **Server:** Uvicorn (ASGI) + +--- + +## 🚀 Getting Started + +### Prerequisites + +Before you begin, ensure you have the following installed: +* **Docker** and **Docker Compose** +* **Python 3.9+** (if running locally without Docker) +* **Google OAuth Credentials** (optional, for health metrics sync) + +#### Environment Setup +HabitForge uses environment variables for configuration. +1. **Copy the example file:** + ```bash + cp .env.example .env.development + # Also create production if needed + cp .env.example .env.production + ``` +2. **Edit the files:** Fill in your `SECRET_KEY` and Google API credentials. + +--- + +### 🐳 Running with Docker (Recommended) + +HabitForge provides several Docker Compose configurations depending on your needs: + +#### 1. Simple Mode (SQLite) +Perfect for a quick test or personal use with zero database configuration. +```bash +# Uses docker-compose.yml +docker-compose up -d --build +``` +* **Database:** SQLite stored in `./data/habitforge.db` +* **Access:** `http://localhost:8000` + +#### 2. Development Mode (PostgreSQL) +Ideal for development with a robust database and hot-reloading enabled. +```bash +# Uses docker-compose.dev.yml +docker-compose -f docker-compose.dev.yml up -d --build +``` +* **Database:** PostgreSQL 15 +* **Features:** Auto-reload enabled in the backend. +* **Access:** `http://localhost:8000` + +#### 3. Production Mode (Full Stack) +The professional setup with security and performance in mind. +```bash +# Uses docker-compose.prod.yml +docker-compose -f docker-compose.prod.yml up -d --build +``` +* **Components:** + * **Nginx:** Reverse proxy with SSL/TLS support. + * **Gunicorn:** Production-grade WSGI server with multiple workers. + * **PostgreSQL:** Dedicated database container. + * **Backup:** Automatic daily database backups to `./backups`. +* **Access:** `http://localhost` (or your configured domain) + +--- + +### 🐍 Local Development (Manual) + +If you prefer to run the services directly on your machine: + +1. **Set up Python Environment:** + ```bash + python -m venv venv + # Windows + .\venv\Scripts\activate + # Linux/Mac + source venv/bin/activate + ``` + +2. **Install Dependencies:** + ```bash + pip install -r requirements.txt + ``` + +3. **Run the Server:** + ```bash + # Ensure your .env file is present or env vars are set + uvicorn backend.main:app --reload --host 0.0.0.0 --port 8000 + ``` + +--- + +## 📂 Project Structure + +```plaintext +HabitForge/ +├── backend/ # Python FastAPI Backend (Modular Architecture) +│ ├── api/v1/ # API Routes (Auth, Challenges, Health) +│ ├── core/ # Configuration, Security, Dependencies +│ ├── models/ # SQLAlchemy Database Models +│ ├── schemas/ # Pydantic Validation Schemas +│ ├── services/ # Business Logic Layer +│ ├── repositories/ # Data Access Layer +│ └── integrations/ # External APIs (Google Fit, Zepp) +├── frontend/ # Static Frontend Assets +│ ├── app.js # Main frontend logic +│ └── index.html # Dashboard +├── data/ # SQLite storage (if used) +├── nginx/ # Nginx configuration and SSL certificates +├── scripts/ # Database migrations and backup scripts +├── docker-compose.yml # Simple SQLite configuration +├── docker-compose.dev.yml # Development (Postgres) configuration +└── docker-compose.prod.yml # Production (Nginx + Postgres + Backup) configuration +``` + +--- + +## 🔌 API Documentation + +Once the server is running, you can access the automatic interactive API documentation provided by Swagger UI: +* **Docs:** `http://localhost:8000/docs` +* **Redoc:** `http://localhost:8000/redoc` + +### Core Endpoints +* **Auth:** `/api/auth/register`, `/api/auth/token` +* **Challenges:** + * `GET /api/challenges`: List all user challenges + * `POST /api/challenges`: Create new challenge + * `PUT /api/challenges/reorder`: Update display order +* **Tracking:** + * `POST /api/tracking`: Log reps/completion for a date + +--- + +## 🔧 Configuration + +All configuration is managed via Environment Variables or a `.env` file. + +| Variable | Description | Default | +| :--- | :--- | :--- | +| `SECRET_KEY` | Key for JWT encryption | *Required* | +| `DATABASE_URL` | SQLAlchemy connection string | `sqlite:///./data/habitforge.db` | +| `CORS_ORIGINS` | Allowed origins for API | `http://localhost:8000` | +| `GOOGLE_CLIENT_ID` | Google OAuth Client ID | `""` | +| `GOOGLE_CLIENT_SECRET` | Google OAuth Client Secret | `""` | + +--- + +## 🔐 Google OAuth Setup (Health Metrics Integration) + +To enable Google Fit integration for health metrics tracking, you need to create OAuth 2.0 credentials in the Google Cloud Console. + +### Step 1: Create a Google Cloud Project + +1. Go to [Google Cloud Console](https://console.cloud.google.com/) +2. Click **"Select a project"** → **"New Project"** +3. Enter a project name (e.g., "HabitForge") +4. Click **"Create"** + +### Step 2: Enable Required APIs + +1. In your project, navigate to **"APIs & Services"** → **"Library"** +2. Search for and enable the following APIs: + - **Google Fitness API** + - **Google OAuth2 API** (usually enabled by default) + +### Step 3: Configure OAuth Consent Screen + +1. Go to **"APIs & Services"** → **"OAuth consent screen"** +2. Select **"External"** (unless you have a Google Workspace) +3. Fill in the required information: + - **App name:** HabitForge + - **User support email:** Your email + - **Developer contact:** Your email +4. Click **"Save and Continue"** +5. **Scopes:** Click **"Add or Remove Scopes"** and add: + - `.../auth/fitness.activity.read` + - `.../auth/fitness.body.read` + - `.../auth/fitness.heart_rate.read` + - `.../auth/fitness.sleep.read` +6. Click **"Save and Continue"** +7. **Test users:** Add your Google account email (for testing) +8. Click **"Save and Continue"** + +### Step 4: Create OAuth 2.0 Credentials + +1. Go to **"APIs & Services"** → **"Credentials"** +2. Click **"+ Create Credentials"** → **"OAuth client ID"** +3. Select **"Web application"** +4. Configure: + - **Name:** HabitForge Web Client + - **Authorized JavaScript origins:** + ``` + http://localhost:8000 + https://yourdomain.com + ``` + - **Authorized redirect URIs:** + ``` + http://localhost:8000/api/google/callback + https://yourdomain.com/api/google/callback + ``` +5. Click **"Create"** +6. **Copy your credentials:** + - `GOOGLE_CLIENT_ID`: The Client ID (looks like `xxxxx.apps.googleusercontent.com`) + - `GOOGLE_CLIENT_SECRET`: The Client Secret + +### Step 5: Update Your .env File + +Add the credentials to your `.env` file: + +```bash +GOOGLE_CLIENT_ID=your-client-id-here.apps.googleusercontent.com +GOOGLE_CLIENT_SECRET=your-client-secret-here +``` + +### Step 6: Test the Integration + +1. Restart your application +2. Navigate to the Health Dashboard +3. Click the **"Sync"** button +4. Authorize HabitForge to access your Google Fit data +5. Data should sync automatically + +--- + +## đŸ—„ïž Database Configuration + +HabitForge supports two database backends: **SQLite** (default, simple) and **PostgreSQL** (production-ready). + +### Option 1: SQLite (Default - Recommended for Personal Use) + +SQLite requires **no additional setup** and is perfect for single-user deployments. + +**Configuration:** +```bash +# .env file +DATABASE_URL=sqlite:///./data/habitforge.db +``` + +**Characteristics:** +- ✅ Zero configuration required +- ✅ File-based (stored in `./data/habitforge.db`) +- ✅ Perfect for personal use +- ✅ Automatic backups via file copy +- ⚠ Not recommended for high-concurrency scenarios + +**Docker Compose:** +```bash +# Uses SQLite by default +docker-compose up -d --build +``` + +### Option 2: PostgreSQL (Recommended for Production) + +PostgreSQL provides better performance, concurrency, and scalability. + +#### A. Using Docker Compose (Easiest) + +**Development Mode:** +```bash +# Uses docker-compose.dev.yml with PostgreSQL +docker-compose -f docker-compose.dev.yml up -d --build +``` + +**Production Mode:** +```bash +# Uses docker-compose.prod.yml with PostgreSQL + Nginx +docker-compose -f docker-compose.prod.yml up -d --build +``` + +The database credentials are configured in the respective `docker-compose` files. + +#### B. Using External PostgreSQL Server + +If you have an existing PostgreSQL server: + +1. **Create a database:** + ```sql + CREATE DATABASE habitforge; + CREATE USER habitforge_user WITH PASSWORD 'your_secure_password'; + GRANT ALL PRIVILEGES ON DATABASE habitforge TO habitforge_user; + ``` + +2. **Configure DATABASE_URL:** + ```bash + # .env file + DATABASE_URL=postgresql://habitforge_user:your_secure_password@localhost:5432/habitforge + ``` + + **Format:** + ``` + postgresql://[username]:[password]@[host]:[port]/[database_name] + ``` + + **Examples:** + ```bash + # Local PostgreSQL + DATABASE_URL=postgresql://postgres:password@localhost:5432/habitforge + + # Remote PostgreSQL + DATABASE_URL=postgresql://user:pass@db.example.com:5432/habitforge + + # With SSL + DATABASE_URL=postgresql://user:pass@db.example.com:5432/habitforge?sslmode=require + ``` + +3. **Run migrations:** + ```bash + alembic upgrade head + ``` + +#### C. PostgreSQL on Cloud Providers + +**Heroku Postgres:** +```bash +DATABASE_URL=postgresql://user:pass@ec2-xxx.compute-1.amazonaws.com:5432/dbname +``` + +**AWS RDS:** +```bash +DATABASE_URL=postgresql://username:password@habitforge.xxxxx.us-east-1.rds.amazonaws.com:5432/habitforge +``` + +**Google Cloud SQL:** +```bash +DATABASE_URL=postgresql://user:pass@/dbname?host=/cloudsql/project:region:instance +``` + +**DigitalOcean Managed Database:** +```bash +DATABASE_URL=postgresql://user:pass@db-postgresql-nyc1-xxxxx.ondigitalocean.com:25060/habitforge?sslmode=require +``` + +### Switching Between Databases + +To switch from SQLite to PostgreSQL (or vice versa): + +1. **Update DATABASE_URL** in your `.env` file +2. **Run migrations:** + ```bash + alembic upgrade head + ``` +3. **Restart the application:** + ```bash + docker-compose down + docker-compose up -d --build + ``` + +**Note:** Data is **not automatically migrated** between databases. You'll need to export/import data manually if switching with existing data. + +--- + +### Database Migrations +The project includes Alembic for database version control. +```bash +alembic upgrade head +``` + +--- + +## đŸ€ Contributing + +Contributions are welcome! +1. Fork the project. +2. Create your feature branch (`git checkout -b feature/AmazingFeature`). +3. Commit your changes (`git commit -m 'Add some AmazingFeature'`). +4. Push to the branch (`git push origin feature/AmazingFeature`). +5. Open a Pull Request. + +--- + +## 📄 License + +Distributed under the MIT License. See `LICENSE` for more information. diff --git a/WIDGET_IMPROVEMENTS.md b/WIDGET_IMPROVEMENTS.md new file mode 100644 index 0000000..cba9fd6 --- /dev/null +++ b/WIDGET_IMPROVEMENTS.md @@ -0,0 +1,135 @@ +# AmĂ©lioration des Widgets Weight et BMI + +## 📋 RĂ©sumĂ© des Modifications + +J'ai transformĂ© les widgets Weight et BMI simples en widgets interactifs premium avec jauges semi-circulaires colorĂ©es, inspirĂ©s de l'image de rĂ©fĂ©rence fournie. + +## ✹ Nouvelles FonctionnalitĂ©s + +### 1. **Widgets AmĂ©liorĂ©s avec Jauges Semi-Circulaires** + +#### Widget Weight (Poids) +- **Jauge semi-circulaire animĂ©e** avec gradient de couleurs (cyan → bleu → vert → ambre → rouge) +- Affichage en **livres (lbs)** avec conversion automatique +- **Statut dynamique** : BALANCED, UNDERWEIGHT, OVERWEIGHT, OBESE +- Design sombre premium avec effet hover +- **Cliquable** pour ouvrir la page de dĂ©tails + +#### Widget BMI +- **Jauge semi-circulaire animĂ©e** avec gradient de couleurs adaptĂ© au BMI +- Affichage de la valeur BMI avec prĂ©cision +- **Statut dynamique** : NORMAL, UNDERWEIGHT, OVERWEIGHT, OBESE +- Design sombre premium avec effet hover +- **Cliquable** pour ouvrir la page de dĂ©tails + +### 2. **Page de DĂ©tails Modale** + +Une modale complĂšte s'ouvre en cliquant sur les widgets, offrant : + +#### Navigation par Plage Temporelle +- **Recent** : 7 derniers jours +- **Week** : 7 derniers jours +- **Month** : 30 derniers jours +- **Year** : 365 derniers jours + +#### Contenu de la Modale + +**Pour Weight (Poids)** : +- Valeur actuelle en grand format +- Date et heure de la derniĂšre mesure +- **Graphique d'historique** interactif avec Chart.js +- **Statistiques rĂ©sumĂ©es** : Moyenne, Maximum, Minimum +- **Tendances** : Progression et comparaison avec dates antĂ©rieures +- Bouton "History data" pour export futur +- Bouton "Add Entry" pour saisie manuelle future + +**Pour BMI** : +- Valeur actuelle en grand format +- Date et heure de la derniĂšre mesure +- **Graphique d'historique** interactif +- **Statistiques rĂ©sumĂ©es** : Moyenne, Maximum, Minimum +- **Informations BMI** : Formule, explications, poids idĂ©al +- Bouton "History data" pour export futur +- Bouton "Add Entry" pour saisie manuelle future + +## 🎹 Design + +### Style Visuel +- **Fond sombre** : Gradient de gris-800 Ă  gris-900/noir +- **Jauges colorĂ©es** : Gradients multi-couleurs avec indicateur triangulaire blanc +- **Typographie** : Texte blanc en gras, labels en gris clair +- **Animations** : Hover scale, transitions fluides +- **Responsive** : AdaptĂ© mobile et desktop + +### Couleurs des Jauges +Les jauges utilisent un gradient de couleurs pour reprĂ©senter visuellement la plage de valeurs : +- **Cyan** (#06b6d4) : DĂ©but de plage +- **Bleu** (#3b82f6) : Zone basse +- **Vert** (#10b981) : Zone optimale +- **Ambre** (#f59e0b) : Zone Ă©levĂ©e +- **Rouge** (#ef4444) : Zone critique + +## 🔧 ImplĂ©mentation Technique + +### Fichiers ModifiĂ©s + +1. **`frontend/index.html`** + - Remplacement des widgets simples par des widgets avec canvas pour les jauges + - Ajout de la modale de dĂ©tails complĂšte + - Structure responsive avec Tailwind CSS + +2. **`frontend/app.js`** + - Fonction `createGauge()` : CrĂ©ation de jauges semi-circulaires avec Canvas API + - Fonction `initializeMetricGauges()` : Initialisation des jauges avec donnĂ©es + - Fonction `openMetricDetails()` : Ouverture de la modale + - Fonction `loadMetricHistory()` : Chargement de l'historique par pĂ©riode + - Fonction `renderMetricChart()` : Rendu du graphique avec Chart.js + - Fonction `initMetricModal()` : Initialisation des Ă©vĂ©nements de la modale + +### Technologies UtilisĂ©es +- **Canvas API** : Pour le rendu des jauges semi-circulaires +- **Chart.js** : Pour les graphiques d'historique +- **Tailwind CSS** : Pour le styling responsive +- **JavaScript ES6+** : Pour la logique interactive + +## 📊 DonnĂ©es UtilisĂ©es + +Les widgets utilisent les donnĂ©es de santĂ© existantes : +- `weight_kg` : Poids en kilogrammes (converti en livres pour affichage) +- `bmi` : CalculĂ© Ă  partir du poids et de la taille +- `date` : Date de la mesure + +## 🚀 Utilisation + +1. **Ouvrir le Health Dashboard** en cliquant sur le bouton "Health" dans la navigation +2. **Visualiser les widgets** Weight et BMI avec leurs jauges colorĂ©es +3. **Cliquer sur un widget** pour ouvrir la page de dĂ©tails +4. **Naviguer entre les pĂ©riodes** (Recent, Week, Month, Year) pour voir l'historique +5. **Consulter les statistiques** et le graphique d'Ă©volution + +## 🎯 FonctionnalitĂ©s Futures + +Les boutons suivants sont prĂ©parĂ©s pour des fonctionnalitĂ©s futures : +- **"Add Entry"** : Saisie manuelle de nouvelles mesures +- **"History data"** : Export des donnĂ©es historiques + +## ✅ CompatibilitĂ© + +- ✅ Mode sombre/clair +- ✅ Responsive (mobile, tablette, desktop) +- ✅ Navigateurs modernes (Chrome, Firefox, Safari, Edge) +- ✅ IntĂ©gration avec les donnĂ©es Google Fit existantes + +## 🎹 Aperçu Visuel + +Les widgets ressemblent maintenant Ă  l'image de rĂ©fĂ©rence avec : +- Fond sombre Ă©lĂ©gant +- Jauges semi-circulaires colorĂ©es +- Indicateur triangulaire blanc +- Valeur en grand format au centre +- Statut et unitĂ© en dessous +- Effet hover avec lĂ©gĂšre mise Ă  l'Ă©chelle + +--- + +**Note** : Les widgets s'affichent uniquement lorsque des donnĂ©es de santĂ© sont disponibles. Assurez-vous d'avoir synchronisĂ© vos donnĂ©es Google Fit pour voir les jauges en action. diff --git a/ZEPP_IMPORT.md b/ZEPP_IMPORT.md new file mode 100644 index 0000000..46d2e15 --- /dev/null +++ b/ZEPP_IMPORT.md @@ -0,0 +1,98 @@ +# HabitForge - Zepp Data Import + +## Overview +This document explains how to import your Zepp/Mi Band/Amazfit health data into HabitForge. + +## Prerequisites +- Zepp data export in `export-zepp/` directory (exported from Zepp app) +- HabitForge application running +- User account created in HabitForge + +## Export Structure +Your Zepp export should be in the following structure: +``` +export-zepp/ +└── [ACCOUNT_ID_TIMESTAMP]/ + ├── ACTIVITY/ # Daily activity summaries (steps, distance, calories) + ├── ACTIVITY_MINUTE/ # Minute-by-minute activity data + ├── ACTIVITY_STAGE/ # Activity segments + ├── BODY/ # Body measurements (weight, BMI, etc.) + ├── HEALTH_DATA/ # Additional health metrics + ├── HEARTRATE/ # Manual heart rate readings + ├── HEARTRATE_AUTO/ # Automatic heart rate monitoring + ├── SLEEP/ # Sleep summaries + ├── SLEEP_MINUTE/ # Minute-by-minute sleep data + ├── SPORT/ # Workout/sport sessions + └── USER/ # User profile data +``` + +## Import Process + +### Option 1: Using Docker (Recommended) +```bash +docker-compose -f docker-compose.dev.yml exec web python scripts/import_zepp_data.py +``` + +### Option 2: Local Environment +```bash +python scripts/import_zepp_data.py +``` + +### Specify User ID +If you need to import data for a specific user: +```bash +python scripts/import_zepp_data.py --user-id 2 +``` + +## Data Imported + +### Daily Health Metrics +- **Activity**: Steps, distance (meters), calories burned +- **Sleep**: Total sleep time, deep sleep, light sleep, REM sleep, awake duration +- **Heart Rate**: Average, minimum, maximum, resting heart rate +- **Body**: Weight measurements +- **PAI Score**: Calculated from activity and heart rate data + +### Workout Sessions +- **Running** (type 1) +- **Walking** (type 6) +- **Cycling** (type 8) +- **Elliptical** (type 10) +- **Free Training** (type 16) +- **HIIT** (type 23) +- **Stretching** (type 52) +- **Yoga** (type 60) + +Each workout includes: +- Start/end time +- Duration +- Distance +- Calories burned +- Pace metrics (avg, min, max) + +## API Endpoints + +After importing, you can access the data via these endpoints: + +### Health Stats +``` +GET /api/health/stats?period=week +GET /api/health/stats?period=month +GET /api/health/stats?period=year +``` + +### Workout Sessions +``` +GET /api/health/workouts # List workouts +GET /api/health/workouts/summary # Workout statistics +``` + +## Notes +- The import will merge data with existing records (taking the imported values for conflicts) +- Default user ID is 1 +- The script automatically finds the latest export directory +- All timestamps are converted to local dates for daily aggregation +- PAI scores are calculated automatically based on activity and heart rate data + +## Re-importing Data +If you export new data from Zepp, simply replace the contents of `export-zepp/` and run the import script again. It will upsert (update or insert) all records. diff --git a/alembic.ini b/alembic.ini new file mode 100644 index 0000000..6b0c3d4 --- /dev/null +++ b/alembic.ini @@ -0,0 +1,39 @@ +[alembic] +script_location = alembic +sqlalchemy.url = sqlite:///./data/habitforge.db + +[post_write_hooks] + +[loggers] +keys = root,sqlalchemy,alembic + +[handlers] +keys = console + +[formatters] +keys = generic + +[logger_root] +level = WARN +handlers = console +qualname = + +[logger_sqlalchemy] +level = WARN +handlers = +qualname = sqlalchemy.engine + +[logger_alembic] +level = INFO +handlers = +qualname = alembic + +[handler_console] +class = StreamHandler +args = (sys.stderr,) +level = NOTSET +formatter = generic + +[formatter_generic] +format = %(levelname)-5.5s [%(name)s] %(message)s +datefmt = %H:%M:%S diff --git a/alembic/README b/alembic/README new file mode 100644 index 0000000..98e4f9c --- /dev/null +++ b/alembic/README @@ -0,0 +1 @@ +Generic single-database configuration. \ No newline at end of file diff --git a/alembic/env.py b/alembic/env.py new file mode 100644 index 0000000..6961b4d --- /dev/null +++ b/alembic/env.py @@ -0,0 +1,91 @@ +from logging.config import fileConfig + +from sqlalchemy import engine_from_config +from sqlalchemy import pool + +from alembic import context + +# this is the Alembic Config object, which provides +# access to the values within the .ini file in use. +config = context.config + +# Interpret the config file for Python logging. +# This line sets up loggers basically. +if config.config_file_name is not None: + fileConfig(config.config_file_name) + +import os +import sys +sys.path.append(os.getcwd()) + +# Import Base and all models to ensure they're registered with metadata +from backend.database import Base +from backend import models # This imports all models via __init__.py + +# add your model's MetaData object here +# for 'autogenerate' support +# from myapp import mymodel +# target_metadata = mymodel.Base.metadata +target_metadata = Base.metadata + +# other values from the config, defined by the needs of env.py, +# can be acquired: +# my_important_option = config.get_main_option("my_important_option") +# ... etc. + + +def run_migrations_offline() -> None: + """Run migrations in 'offline' mode. + + This configures the context with just a URL + and not an Engine, though an Engine is acceptable + here as well. By skipping the Engine creation + we don't even need a DBAPI to be available. + + Calls to context.execute() here emit the given string to the + script output. + + """ + url = config.get_main_option("sqlalchemy.url") + context.configure( + url=url, + target_metadata=target_metadata, + literal_binds=True, + dialect_opts={"paramstyle": "named"}, + ) + + with context.begin_transaction(): + context.run_migrations() + + +def run_migrations_online() -> None: + """Run migrations in 'online' mode. + + In this scenario we need to create an Engine + and associate a connection with the context. + + """ + # Override URL from settings + from backend.core.config import settings + configuration = config.get_section(config.config_ini_section, {}) + configuration["sqlalchemy.url"] = settings.DATABASE_URL + + connectable = engine_from_config( + configuration, + prefix="sqlalchemy.", + poolclass=pool.NullPool, + ) + + with connectable.connect() as connection: + context.configure( + connection=connection, target_metadata=target_metadata + ) + + with context.begin_transaction(): + context.run_migrations() + + +if context.is_offline_mode(): + run_migrations_offline() +else: + run_migrations_online() diff --git a/alembic/script.py.mako b/alembic/script.py.mako new file mode 100644 index 0000000..1101630 --- /dev/null +++ b/alembic/script.py.mako @@ -0,0 +1,28 @@ +"""${message} + +Revision ID: ${up_revision} +Revises: ${down_revision | comma,n} +Create Date: ${create_date} + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa +${imports if imports else ""} + +# revision identifiers, used by Alembic. +revision: str = ${repr(up_revision)} +down_revision: Union[str, Sequence[str], None] = ${repr(down_revision)} +branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)} +depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)} + + +def upgrade() -> None: + """Upgrade schema.""" + ${upgrades if upgrades else "pass"} + + +def downgrade() -> None: + """Downgrade schema.""" + ${downgrades if downgrades else "pass"} diff --git a/alembic/versions/4cc2e86d9794_add_icon_and_image_url.py b/alembic/versions/4cc2e86d9794_add_icon_and_image_url.py new file mode 100644 index 0000000..a9f5bc8 --- /dev/null +++ b/alembic/versions/4cc2e86d9794_add_icon_and_image_url.py @@ -0,0 +1,34 @@ +"""Add icon and image_url + +Revision ID: 4cc2e86d9794 +Revises: 8ba5ee682bc1 +Create Date: 2025-12-27 23:38:43.414279 + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa + + +# revision identifiers, used by Alembic. +revision: str = '4cc2e86d9794' +down_revision: Union[str, Sequence[str], None] = '8ba5ee682bc1' +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + """Upgrade schema.""" + # ### commands auto generated by Alembic - please adjust! ### + op.add_column('challenges', sa.Column('icon', sa.String(), nullable=True)) + op.add_column('challenges', sa.Column('image_url', sa.String(), nullable=True)) + # ### end Alembic commands ### + + +def downgrade() -> None: + """Downgrade schema.""" + # ### commands auto generated by Alembic - please adjust! ### + op.drop_column('challenges', 'image_url') + op.drop_column('challenges', 'icon') + # ### end Alembic commands ### diff --git a/alembic/versions/5ea126309171_add_description.py b/alembic/versions/5ea126309171_add_description.py new file mode 100644 index 0000000..f48caf6 --- /dev/null +++ b/alembic/versions/5ea126309171_add_description.py @@ -0,0 +1,32 @@ +"""Add description + +Revision ID: 5ea126309171 +Revises: 4cc2e86d9794 +Create Date: 2025-12-28 00:11:14.788582 + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa + + +# revision identifiers, used by Alembic. +revision: str = '5ea126309171' +down_revision: Union[str, Sequence[str], None] = '4cc2e86d9794' +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + """Upgrade schema.""" + # ### commands auto generated by Alembic - please adjust! ### + op.add_column('challenges', sa.Column('description', sa.String(), nullable=True)) + # ### end Alembic commands ### + + +def downgrade() -> None: + """Downgrade schema.""" + # ### commands auto generated by Alembic - please adjust! ### + op.drop_column('challenges', 'description') + # ### end Alembic commands ### diff --git a/alembic/versions/6c3fce1dd49a_add_awake_duration_minutes_to_daily_.py b/alembic/versions/6c3fce1dd49a_add_awake_duration_minutes_to_daily_.py new file mode 100644 index 0000000..1ca7fb9 --- /dev/null +++ b/alembic/versions/6c3fce1dd49a_add_awake_duration_minutes_to_daily_.py @@ -0,0 +1,32 @@ +"""Add awake_duration_minutes to daily health metrics + +Revision ID: 6c3fce1dd49a +Revises: d208fd79a572 +Create Date: 2025-12-29 13:49:31.181979 + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa + + +# revision identifiers, used by Alembic. +revision: str = '6c3fce1dd49a' +down_revision: Union[str, Sequence[str], None] = 'd208fd79a572' +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + """Upgrade schema.""" + # ### commands auto generated by Alembic - please adjust! ### + op.add_column('daily_health_metrics', sa.Column('awake_duration_minutes', sa.Integer(), nullable=True)) + # ### end Alembic commands ### + + +def downgrade() -> None: + """Downgrade schema.""" + # ### commands auto generated by Alembic - please adjust! ### + op.drop_column('daily_health_metrics', 'awake_duration_minutes') + # ### end Alembic commands ### diff --git a/alembic/versions/8ba5ee682bc1_add_unit_type_and_rest_days.py b/alembic/versions/8ba5ee682bc1_add_unit_type_and_rest_days.py new file mode 100644 index 0000000..6b91a98 --- /dev/null +++ b/alembic/versions/8ba5ee682bc1_add_unit_type_and_rest_days.py @@ -0,0 +1,34 @@ +"""Add unit_type and rest_days + +Revision ID: 8ba5ee682bc1 +Revises: +Create Date: 2025-12-27 22:29:05.909161 + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa + + +# revision identifiers, used by Alembic. +revision: str = '8ba5ee682bc1' +down_revision: Union[str, Sequence[str], None] = None +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + """Upgrade schema.""" + # ### commands auto generated by Alembic - please adjust! ### + op.add_column('challenges', sa.Column('unit_type', sa.String(), nullable=True)) + op.add_column('challenges', sa.Column('rest_days', sa.String(), nullable=True)) + # ### end Alembic commands ### + + +def downgrade() -> None: + """Downgrade schema.""" + # ### commands auto generated by Alembic - please adjust! ### + op.drop_column('challenges', 'rest_days') + op.drop_column('challenges', 'unit_type') + # ### end Alembic commands ### diff --git a/alembic/versions/a1b2c3d4e5f6_add_data_source_columns.py b/alembic/versions/a1b2c3d4e5f6_add_data_source_columns.py new file mode 100644 index 0000000..c187970 --- /dev/null +++ b/alembic/versions/a1b2c3d4e5f6_add_data_source_columns.py @@ -0,0 +1,41 @@ +"""Add data_source columns for provider tracking + +Revision ID: a1b2c3d4e5f6 +Revises: 6c3fce1dd49a +Create Date: 2026-01-01 14:30:00.000000 + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa + + +# revision identifiers, used by Alembic. +revision: str = 'a1b2c3d4e5f6' +down_revision: Union[str, None] = '6c3fce1dd49a' +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # Add data_source column to daily_health_metrics + op.add_column( + 'daily_health_metrics', + sa.Column('data_source', sa.String(50), nullable=True, server_default='google_fit') + ) + + # Add data_source column to workout_sessions + op.add_column( + 'workout_sessions', + sa.Column('data_source', sa.String(50), nullable=True, server_default='google_fit') + ) + + # Update existing rows to have default value + op.execute("UPDATE daily_health_metrics SET data_source = 'google_fit' WHERE data_source IS NULL") + op.execute("UPDATE workout_sessions SET data_source = 'google_fit' WHERE data_source IS NULL") + + +def downgrade() -> None: + op.drop_column('daily_health_metrics', 'data_source') + op.drop_column('workout_sessions', 'data_source') diff --git a/alembic/versions/b2c3d4e5f6g7_add_health_connect_tables.py b/alembic/versions/b2c3d4e5f6g7_add_health_connect_tables.py new file mode 100644 index 0000000..92d1071 --- /dev/null +++ b/alembic/versions/b2c3d4e5f6g7_add_health_connect_tables.py @@ -0,0 +1,103 @@ +"""Add Health Connect tables + +Revision ID: b2c3d4e5f6g7 +Revises: a1b2c3d4e5f6 +Create Date: 2026-01-01 14:35:00.000000 + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa + + +# revision identifiers, used by Alembic. +revision: str = 'b2c3d4e5f6g7' +down_revision: Union[str, None] = 'a1b2c3d4e5f6' +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # Create health_connect_sync_logs table + op.create_table( + 'health_connect_sync_logs', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('user_id', sa.Integer(), nullable=True), + sa.Column('device_id', sa.String(100), nullable=True), + sa.Column('sync_timestamp', sa.DateTime(), nullable=True), + sa.Column('records_pushed', sa.Integer(), nullable=True), + sa.Column('status', sa.String(50), nullable=True), + sa.Column('error_message', sa.Text(), nullable=True), + sa.ForeignKeyConstraint(['user_id'], ['users.id'], ), + sa.PrimaryKeyConstraint('id') + ) + op.create_index('ix_health_connect_sync_logs_id', 'health_connect_sync_logs', ['id']) + op.create_index('ix_health_connect_sync_logs_user_id', 'health_connect_sync_logs', ['user_id']) + + # Create health_connect_daily_metrics table + op.create_table( + 'health_connect_daily_metrics', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('user_id', sa.Integer(), nullable=True), + sa.Column('date', sa.Date(), nullable=True), + sa.Column('step_count', sa.Integer(), nullable=True), + sa.Column('distance_meters', sa.Float(), nullable=True), + sa.Column('calories_burned', sa.Float(), nullable=True), + sa.Column('total_calories', sa.Float(), nullable=True), + sa.Column('sleep_duration_minutes', sa.Integer(), nullable=True), + sa.Column('deep_sleep_minutes', sa.Integer(), nullable=True), + sa.Column('light_sleep_minutes', sa.Integer(), nullable=True), + sa.Column('rem_sleep_minutes', sa.Integer(), nullable=True), + sa.Column('awake_duration_minutes', sa.Integer(), nullable=True), + sa.Column('avg_heart_rate', sa.Integer(), nullable=True), + sa.Column('min_heart_rate', sa.Integer(), nullable=True), + sa.Column('max_heart_rate', sa.Integer(), nullable=True), + sa.Column('resting_heart_rate', sa.Integer(), nullable=True), + sa.Column('avg_spo2', sa.Float(), nullable=True), + sa.Column('min_spo2', sa.Float(), nullable=True), + sa.Column('max_spo2', sa.Float(), nullable=True), + sa.Column('weight', sa.Float(), nullable=True), + sa.Column('last_synced', sa.DateTime(), nullable=True), + sa.Column('sync_id', sa.Integer(), nullable=True), + sa.ForeignKeyConstraint(['user_id'], ['users.id'], ), + sa.ForeignKeyConstraint(['sync_id'], ['health_connect_sync_logs.id'], ), + sa.PrimaryKeyConstraint('id') + ) + op.create_index('ix_health_connect_daily_metrics_id', 'health_connect_daily_metrics', ['id']) + op.create_index('ix_health_connect_daily_metrics_user_id', 'health_connect_daily_metrics', ['user_id']) + op.create_index('ix_health_connect_daily_metrics_date', 'health_connect_daily_metrics', ['date']) + + # Create health_connect_exercise_sessions table + op.create_table( + 'health_connect_exercise_sessions', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('user_id', sa.Integer(), nullable=True), + sa.Column('start_time', sa.DateTime(), nullable=True), + sa.Column('end_time', sa.DateTime(), nullable=True), + sa.Column('exercise_type', sa.Integer(), nullable=True), + sa.Column('exercise_type_name', sa.String(100), nullable=True), + sa.Column('duration_seconds', sa.Integer(), nullable=True), + sa.Column('distance_meters', sa.Float(), nullable=True), + sa.Column('calories_burned', sa.Float(), nullable=True), + sa.Column('avg_heart_rate', sa.Integer(), nullable=True), + sa.Column('max_heart_rate', sa.Integer(), nullable=True), + sa.Column('min_heart_rate', sa.Integer(), nullable=True), + sa.Column('steps', sa.Integer(), nullable=True), + sa.Column('elevation_gained', sa.Float(), nullable=True), + sa.Column('notes', sa.Text(), nullable=True), + sa.Column('last_synced', sa.DateTime(), nullable=True), + sa.Column('sync_id', sa.Integer(), nullable=True), + sa.ForeignKeyConstraint(['user_id'], ['users.id'], ), + sa.ForeignKeyConstraint(['sync_id'], ['health_connect_sync_logs.id'], ), + sa.PrimaryKeyConstraint('id') + ) + op.create_index('ix_health_connect_exercise_sessions_id', 'health_connect_exercise_sessions', ['id']) + op.create_index('ix_health_connect_exercise_sessions_user_id', 'health_connect_exercise_sessions', ['user_id']) + op.create_index('ix_health_connect_exercise_sessions_start_time', 'health_connect_exercise_sessions', ['start_time']) + + +def downgrade() -> None: + op.drop_table('health_connect_exercise_sessions') + op.drop_table('health_connect_daily_metrics') + op.drop_table('health_connect_sync_logs') diff --git a/alembic/versions/c3049b0cefc4_add_zepp_fields.py b/alembic/versions/c3049b0cefc4_add_zepp_fields.py new file mode 100644 index 0000000..01e0aa0 --- /dev/null +++ b/alembic/versions/c3049b0cefc4_add_zepp_fields.py @@ -0,0 +1,36 @@ +"""Add Zepp fields + +Revision ID: c3049b0cefc4 +Revises: 6c3fce1dd49a +Create Date: 2025-12-29 17:26:48.144904 + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa + + +# revision identifiers, used by Alembic. +revision: str = 'c3049b0cefc4' +down_revision: Union[str, Sequence[str], None] = '6c3fce1dd49a' +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + """Upgrade schema.""" + # ### commands auto generated by Alembic - please adjust! ### + op.add_column('daily_health_metrics', sa.Column('weight', sa.Float(), nullable=True)) + op.add_column('daily_health_metrics', sa.Column('resting_heart_rate', sa.Integer(), nullable=True)) + op.add_column('daily_health_metrics', sa.Column('hrv', sa.Float(), nullable=True)) + # ### end Alembic commands ### + + +def downgrade() -> None: + """Downgrade schema.""" + # ### commands auto generated by Alembic - please adjust! ### + op.drop_column('daily_health_metrics', 'hrv') + op.drop_column('daily_health_metrics', 'resting_heart_rate') + op.drop_column('daily_health_metrics', 'weight') + # ### end Alembic commands ### diff --git a/alembic/versions/d208fd79a572_add_frequency_fields.py b/alembic/versions/d208fd79a572_add_frequency_fields.py new file mode 100644 index 0000000..bcdb18f --- /dev/null +++ b/alembic/versions/d208fd79a572_add_frequency_fields.py @@ -0,0 +1,34 @@ +"""Add_frequency_fields + +Revision ID: d208fd79a572 +Revises: 5ea126309171 +Create Date: 2025-12-28 12:59:55.198335 + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa + + +# revision identifiers, used by Alembic. +revision: str = 'd208fd79a572' +down_revision: Union[str, Sequence[str], None] = '5ea126309171' +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + """Upgrade schema.""" + # ### commands auto generated by Alembic - please adjust! ### + op.add_column('challenges', sa.Column('frequency_count', sa.Integer(), nullable=True)) + op.add_column('challenges', sa.Column('selected_days', sa.String(), nullable=True)) + # ### end Alembic commands ### + + +def downgrade() -> None: + """Downgrade schema.""" + # ### commands auto generated by Alembic - please adjust! ### + op.drop_column('challenges', 'selected_days') + op.drop_column('challenges', 'frequency_count') + # ### end Alembic commands ### diff --git a/alembic/versions/e4f5g6h7i8j9_add_hc_data_source_columns.py b/alembic/versions/e4f5g6h7i8j9_add_hc_data_source_columns.py new file mode 100644 index 0000000..e2c1a4f --- /dev/null +++ b/alembic/versions/e4f5g6h7i8j9_add_hc_data_source_columns.py @@ -0,0 +1,51 @@ +"""Add data_source columns to health_connect_daily_metrics + +Revision ID: e4f5g6h7i8j9 +Revises: b2c3d4e5f6g7 +Create Date: 2026-01-07 15:40:00.000000 + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa + + +# revision identifiers, used by Alembic. +revision: str = 'e4f5g6h7i8j9' +down_revision: Union[str, None] = 'b2c3d4e5f6g7' +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # Add data_source column to health_connect_daily_metrics + op.add_column( + 'health_connect_daily_metrics', + sa.Column('data_source', sa.String(200), nullable=True) + ) + + # Add data_source_name column to health_connect_daily_metrics + op.add_column( + 'health_connect_daily_metrics', + sa.Column('data_source_name', sa.String(100), nullable=True) + ) + + # Add data_source column to health_connect_exercise_sessions + op.add_column( + 'health_connect_exercise_sessions', + sa.Column('data_source', sa.String(200), nullable=True) + ) + + # Add data_source_name column to health_connect_exercise_sessions + op.add_column( + 'health_connect_exercise_sessions', + sa.Column('data_source_name', sa.String(100), nullable=True) + ) + + +def downgrade() -> None: + op.drop_column('health_connect_daily_metrics', 'data_source') + op.drop_column('health_connect_daily_metrics', 'data_source_name') + op.drop_column('health_connect_exercise_sessions', 'data_source') + op.drop_column('health_connect_exercise_sessions', 'data_source_name') diff --git a/alembic/versions/f5g6h7i8j9k0_add_health_connect_raw_tables.py b/alembic/versions/f5g6h7i8j9k0_add_health_connect_raw_tables.py new file mode 100644 index 0000000..e07b0e8 --- /dev/null +++ b/alembic/versions/f5g6h7i8j9k0_add_health_connect_raw_tables.py @@ -0,0 +1,391 @@ +"""Add Health Connect raw data tables + +Revision ID: f5g6h7i8j9k0 +Revises: e4f5g6h7i8j9 +Create Date: 2026-01-08 12:00:00.000000 + +""" +from alembic import op +import sqlalchemy as sa + + +# revision identifiers, used by Alembic. +revision = 'f5g6h7i8j9k0' +down_revision = 'e4f5g6h7i8j9' +branch_labels = None +depends_on = None + + +def upgrade() -> None: + # === Steps === + op.create_table( + 'hc_raw_steps', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('user_id', sa.Integer(), nullable=True), + sa.Column('record_id', sa.String(100), nullable=True), + sa.Column('data_source', sa.String(200), nullable=True), + sa.Column('data_source_name', sa.String(100), nullable=True), + sa.Column('start_time', sa.DateTime(), nullable=True), + sa.Column('end_time', sa.DateTime(), nullable=True), + sa.Column('synced_at', sa.DateTime(), nullable=True), + sa.Column('count', sa.Integer(), nullable=True), + sa.Column('sync_id', sa.Integer(), nullable=True), + sa.ForeignKeyConstraint(['user_id'], ['users.id']), + sa.ForeignKeyConstraint(['sync_id'], ['health_connect_sync_logs.id']), + sa.PrimaryKeyConstraint('id'), + sa.UniqueConstraint('user_id', 'record_id', 'data_source', name='uq_steps_record') + ) + op.create_index('ix_hc_raw_steps_id', 'hc_raw_steps', ['id']) + op.create_index('ix_hc_raw_steps_user_id', 'hc_raw_steps', ['user_id']) + op.create_index('ix_hc_raw_steps_record_id', 'hc_raw_steps', ['record_id']) + op.create_index('ix_hc_raw_steps_start_time', 'hc_raw_steps', ['start_time']) + op.create_index('ix_steps_user_date', 'hc_raw_steps', ['user_id', 'start_time']) + + # === Heart Rate === + op.create_table( + 'hc_raw_heart_rate', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('user_id', sa.Integer(), nullable=True), + sa.Column('record_id', sa.String(100), nullable=True), + sa.Column('data_source', sa.String(200), nullable=True), + sa.Column('data_source_name', sa.String(100), nullable=True), + sa.Column('start_time', sa.DateTime(), nullable=True), + sa.Column('end_time', sa.DateTime(), nullable=True), + sa.Column('synced_at', sa.DateTime(), nullable=True), + sa.Column('sync_id', sa.Integer(), nullable=True), + sa.ForeignKeyConstraint(['user_id'], ['users.id']), + sa.ForeignKeyConstraint(['sync_id'], ['health_connect_sync_logs.id']), + sa.PrimaryKeyConstraint('id'), + sa.UniqueConstraint('user_id', 'record_id', 'data_source', name='uq_hr_record') + ) + op.create_index('ix_hc_raw_heart_rate_id', 'hc_raw_heart_rate', ['id']) + op.create_index('ix_hc_raw_heart_rate_user_id', 'hc_raw_heart_rate', ['user_id']) + op.create_index('ix_hc_raw_heart_rate_record_id', 'hc_raw_heart_rate', ['record_id']) + op.create_index('ix_hc_raw_heart_rate_start_time', 'hc_raw_heart_rate', ['start_time']) + op.create_index('ix_hr_user_date', 'hc_raw_heart_rate', ['user_id', 'start_time']) + + # === Heart Rate Samples === + op.create_table( + 'hc_raw_heart_rate_samples', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('record_id', sa.Integer(), nullable=True), + sa.Column('time', sa.DateTime(), nullable=True), + sa.Column('bpm', sa.Integer(), nullable=True), + sa.ForeignKeyConstraint(['record_id'], ['hc_raw_heart_rate.id'], ondelete='CASCADE'), + sa.PrimaryKeyConstraint('id') + ) + op.create_index('ix_hc_raw_heart_rate_samples_id', 'hc_raw_heart_rate_samples', ['id']) + op.create_index('ix_hc_raw_heart_rate_samples_record_id', 'hc_raw_heart_rate_samples', ['record_id']) + op.create_index('ix_hc_raw_heart_rate_samples_time', 'hc_raw_heart_rate_samples', ['time']) + + # === Resting Heart Rate === + op.create_table( + 'hc_raw_resting_hr', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('user_id', sa.Integer(), nullable=True), + sa.Column('record_id', sa.String(100), nullable=True), + sa.Column('data_source', sa.String(200), nullable=True), + sa.Column('data_source_name', sa.String(100), nullable=True), + sa.Column('time', sa.DateTime(), nullable=True), + sa.Column('synced_at', sa.DateTime(), nullable=True), + sa.Column('bpm', sa.Integer(), nullable=True), + sa.Column('sync_id', sa.Integer(), nullable=True), + sa.ForeignKeyConstraint(['user_id'], ['users.id']), + sa.ForeignKeyConstraint(['sync_id'], ['health_connect_sync_logs.id']), + sa.PrimaryKeyConstraint('id'), + sa.UniqueConstraint('user_id', 'record_id', 'data_source', name='uq_resting_hr_record') + ) + op.create_index('ix_hc_raw_resting_hr_id', 'hc_raw_resting_hr', ['id']) + op.create_index('ix_hc_raw_resting_hr_user_id', 'hc_raw_resting_hr', ['user_id']) + op.create_index('ix_hc_raw_resting_hr_record_id', 'hc_raw_resting_hr', ['record_id']) + op.create_index('ix_hc_raw_resting_hr_time', 'hc_raw_resting_hr', ['time']) + op.create_index('ix_resting_hr_user_date', 'hc_raw_resting_hr', ['user_id', 'time']) + + # === Sleep Sessions === + op.create_table( + 'hc_raw_sleep_sessions', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('user_id', sa.Integer(), nullable=True), + sa.Column('record_id', sa.String(100), nullable=True), + sa.Column('data_source', sa.String(200), nullable=True), + sa.Column('data_source_name', sa.String(100), nullable=True), + sa.Column('start_time', sa.DateTime(), nullable=True), + sa.Column('end_time', sa.DateTime(), nullable=True), + sa.Column('synced_at', sa.DateTime(), nullable=True), + sa.Column('title', sa.String(200), nullable=True), + sa.Column('notes', sa.Text(), nullable=True), + sa.Column('sync_id', sa.Integer(), nullable=True), + sa.ForeignKeyConstraint(['user_id'], ['users.id']), + sa.ForeignKeyConstraint(['sync_id'], ['health_connect_sync_logs.id']), + sa.PrimaryKeyConstraint('id'), + sa.UniqueConstraint('user_id', 'record_id', 'data_source', name='uq_sleep_record') + ) + op.create_index('ix_hc_raw_sleep_sessions_id', 'hc_raw_sleep_sessions', ['id']) + op.create_index('ix_hc_raw_sleep_sessions_user_id', 'hc_raw_sleep_sessions', ['user_id']) + op.create_index('ix_hc_raw_sleep_sessions_record_id', 'hc_raw_sleep_sessions', ['record_id']) + op.create_index('ix_hc_raw_sleep_sessions_start_time', 'hc_raw_sleep_sessions', ['start_time']) + op.create_index('ix_sleep_user_date', 'hc_raw_sleep_sessions', ['user_id', 'start_time']) + + # === Sleep Stages === + op.create_table( + 'hc_raw_sleep_stages', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('session_id', sa.Integer(), nullable=True), + sa.Column('start_time', sa.DateTime(), nullable=True), + sa.Column('end_time', sa.DateTime(), nullable=True), + sa.Column('stage_type', sa.Integer(), nullable=True), + sa.Column('stage_name', sa.String(50), nullable=True), + sa.ForeignKeyConstraint(['session_id'], ['hc_raw_sleep_sessions.id'], ondelete='CASCADE'), + sa.PrimaryKeyConstraint('id') + ) + op.create_index('ix_hc_raw_sleep_stages_id', 'hc_raw_sleep_stages', ['id']) + op.create_index('ix_hc_raw_sleep_stages_session_id', 'hc_raw_sleep_stages', ['session_id']) + + # === Distance === + op.create_table( + 'hc_raw_distance', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('user_id', sa.Integer(), nullable=True), + sa.Column('record_id', sa.String(100), nullable=True), + sa.Column('data_source', sa.String(200), nullable=True), + sa.Column('data_source_name', sa.String(100), nullable=True), + sa.Column('start_time', sa.DateTime(), nullable=True), + sa.Column('end_time', sa.DateTime(), nullable=True), + sa.Column('synced_at', sa.DateTime(), nullable=True), + sa.Column('distance_meters', sa.Float(), nullable=True), + sa.Column('sync_id', sa.Integer(), nullable=True), + sa.ForeignKeyConstraint(['user_id'], ['users.id']), + sa.ForeignKeyConstraint(['sync_id'], ['health_connect_sync_logs.id']), + sa.PrimaryKeyConstraint('id'), + sa.UniqueConstraint('user_id', 'record_id', 'data_source', name='uq_distance_record') + ) + op.create_index('ix_hc_raw_distance_id', 'hc_raw_distance', ['id']) + op.create_index('ix_hc_raw_distance_user_id', 'hc_raw_distance', ['user_id']) + op.create_index('ix_hc_raw_distance_record_id', 'hc_raw_distance', ['record_id']) + op.create_index('ix_hc_raw_distance_start_time', 'hc_raw_distance', ['start_time']) + op.create_index('ix_distance_user_date', 'hc_raw_distance', ['user_id', 'start_time']) + + # === Calories === + op.create_table( + 'hc_raw_calories', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('user_id', sa.Integer(), nullable=True), + sa.Column('record_id', sa.String(100), nullable=True), + sa.Column('data_source', sa.String(200), nullable=True), + sa.Column('data_source_name', sa.String(100), nullable=True), + sa.Column('start_time', sa.DateTime(), nullable=True), + sa.Column('end_time', sa.DateTime(), nullable=True), + sa.Column('synced_at', sa.DateTime(), nullable=True), + sa.Column('calories', sa.Float(), nullable=True), + sa.Column('record_type', sa.String(20), nullable=True), + sa.Column('sync_id', sa.Integer(), nullable=True), + sa.ForeignKeyConstraint(['user_id'], ['users.id']), + sa.ForeignKeyConstraint(['sync_id'], ['health_connect_sync_logs.id']), + sa.PrimaryKeyConstraint('id'), + sa.UniqueConstraint('user_id', 'record_id', 'data_source', name='uq_calories_record') + ) + op.create_index('ix_hc_raw_calories_id', 'hc_raw_calories', ['id']) + op.create_index('ix_hc_raw_calories_user_id', 'hc_raw_calories', ['user_id']) + op.create_index('ix_hc_raw_calories_record_id', 'hc_raw_calories', ['record_id']) + op.create_index('ix_hc_raw_calories_start_time', 'hc_raw_calories', ['start_time']) + op.create_index('ix_calories_user_date', 'hc_raw_calories', ['user_id', 'start_time']) + + # === Oxygen Saturation (SpO2) === + op.create_table( + 'hc_raw_spo2', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('user_id', sa.Integer(), nullable=True), + sa.Column('record_id', sa.String(100), nullable=True), + sa.Column('data_source', sa.String(200), nullable=True), + sa.Column('data_source_name', sa.String(100), nullable=True), + sa.Column('time', sa.DateTime(), nullable=True), + sa.Column('synced_at', sa.DateTime(), nullable=True), + sa.Column('percentage', sa.Float(), nullable=True), + sa.Column('sync_id', sa.Integer(), nullable=True), + sa.ForeignKeyConstraint(['user_id'], ['users.id']), + sa.ForeignKeyConstraint(['sync_id'], ['health_connect_sync_logs.id']), + sa.PrimaryKeyConstraint('id'), + sa.UniqueConstraint('user_id', 'record_id', 'data_source', name='uq_spo2_record') + ) + op.create_index('ix_hc_raw_spo2_id', 'hc_raw_spo2', ['id']) + op.create_index('ix_hc_raw_spo2_user_id', 'hc_raw_spo2', ['user_id']) + op.create_index('ix_hc_raw_spo2_record_id', 'hc_raw_spo2', ['record_id']) + op.create_index('ix_hc_raw_spo2_time', 'hc_raw_spo2', ['time']) + op.create_index('ix_spo2_user_date', 'hc_raw_spo2', ['user_id', 'time']) + + # === Weight === + op.create_table( + 'hc_raw_weight', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('user_id', sa.Integer(), nullable=True), + sa.Column('record_id', sa.String(100), nullable=True), + sa.Column('data_source', sa.String(200), nullable=True), + sa.Column('data_source_name', sa.String(100), nullable=True), + sa.Column('time', sa.DateTime(), nullable=True), + sa.Column('synced_at', sa.DateTime(), nullable=True), + sa.Column('weight_kg', sa.Float(), nullable=True), + sa.Column('sync_id', sa.Integer(), nullable=True), + sa.ForeignKeyConstraint(['user_id'], ['users.id']), + sa.ForeignKeyConstraint(['sync_id'], ['health_connect_sync_logs.id']), + sa.PrimaryKeyConstraint('id'), + sa.UniqueConstraint('user_id', 'record_id', 'data_source', name='uq_weight_record') + ) + op.create_index('ix_hc_raw_weight_id', 'hc_raw_weight', ['id']) + op.create_index('ix_hc_raw_weight_user_id', 'hc_raw_weight', ['user_id']) + op.create_index('ix_hc_raw_weight_record_id', 'hc_raw_weight', ['record_id']) + op.create_index('ix_hc_raw_weight_time', 'hc_raw_weight', ['time']) + op.create_index('ix_weight_user_date', 'hc_raw_weight', ['user_id', 'time']) + + # === Height === + op.create_table( + 'hc_raw_height', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('user_id', sa.Integer(), nullable=True), + sa.Column('record_id', sa.String(100), nullable=True), + sa.Column('data_source', sa.String(200), nullable=True), + sa.Column('data_source_name', sa.String(100), nullable=True), + sa.Column('time', sa.DateTime(), nullable=True), + sa.Column('synced_at', sa.DateTime(), nullable=True), + sa.Column('height_meters', sa.Float(), nullable=True), + sa.Column('sync_id', sa.Integer(), nullable=True), + sa.ForeignKeyConstraint(['user_id'], ['users.id']), + sa.ForeignKeyConstraint(['sync_id'], ['health_connect_sync_logs.id']), + sa.PrimaryKeyConstraint('id'), + sa.UniqueConstraint('user_id', 'record_id', 'data_source', name='uq_height_record') + ) + op.create_index('ix_hc_raw_height_id', 'hc_raw_height', ['id']) + op.create_index('ix_hc_raw_height_user_id', 'hc_raw_height', ['user_id']) + op.create_index('ix_hc_raw_height_record_id', 'hc_raw_height', ['record_id']) + op.create_index('ix_hc_raw_height_time', 'hc_raw_height', ['time']) + op.create_index('ix_height_user_date', 'hc_raw_height', ['user_id', 'time']) + + # === Body Fat === + op.create_table( + 'hc_raw_body_fat', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('user_id', sa.Integer(), nullable=True), + sa.Column('record_id', sa.String(100), nullable=True), + sa.Column('data_source', sa.String(200), nullable=True), + sa.Column('data_source_name', sa.String(100), nullable=True), + sa.Column('time', sa.DateTime(), nullable=True), + sa.Column('synced_at', sa.DateTime(), nullable=True), + sa.Column('percentage', sa.Float(), nullable=True), + sa.Column('sync_id', sa.Integer(), nullable=True), + sa.ForeignKeyConstraint(['user_id'], ['users.id']), + sa.ForeignKeyConstraint(['sync_id'], ['health_connect_sync_logs.id']), + sa.PrimaryKeyConstraint('id'), + sa.UniqueConstraint('user_id', 'record_id', 'data_source', name='uq_body_fat_record') + ) + op.create_index('ix_hc_raw_body_fat_id', 'hc_raw_body_fat', ['id']) + op.create_index('ix_hc_raw_body_fat_user_id', 'hc_raw_body_fat', ['user_id']) + op.create_index('ix_hc_raw_body_fat_record_id', 'hc_raw_body_fat', ['record_id']) + op.create_index('ix_hc_raw_body_fat_time', 'hc_raw_body_fat', ['time']) + op.create_index('ix_body_fat_user_date', 'hc_raw_body_fat', ['user_id', 'time']) + + # === Exercise Sessions === + op.create_table( + 'hc_raw_exercise_sessions', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('user_id', sa.Integer(), nullable=True), + sa.Column('record_id', sa.String(100), nullable=True), + sa.Column('data_source', sa.String(200), nullable=True), + sa.Column('data_source_name', sa.String(100), nullable=True), + sa.Column('start_time', sa.DateTime(), nullable=True), + sa.Column('end_time', sa.DateTime(), nullable=True), + sa.Column('synced_at', sa.DateTime(), nullable=True), + sa.Column('exercise_type', sa.Integer(), nullable=True), + sa.Column('exercise_type_name', sa.String(100), nullable=True), + sa.Column('title', sa.String(200), nullable=True), + sa.Column('notes', sa.Text(), nullable=True), + sa.Column('distance_meters', sa.Float(), nullable=True), + sa.Column('calories', sa.Float(), nullable=True), + sa.Column('avg_heart_rate', sa.Integer(), nullable=True), + sa.Column('max_heart_rate', sa.Integer(), nullable=True), + sa.Column('min_heart_rate', sa.Integer(), nullable=True), + sa.Column('steps', sa.Integer(), nullable=True), + sa.Column('elevation_gained_meters', sa.Float(), nullable=True), + sa.Column('sync_id', sa.Integer(), nullable=True), + sa.ForeignKeyConstraint(['user_id'], ['users.id']), + sa.ForeignKeyConstraint(['sync_id'], ['health_connect_sync_logs.id']), + sa.PrimaryKeyConstraint('id'), + sa.UniqueConstraint('user_id', 'record_id', 'data_source', name='uq_exercise_record') + ) + op.create_index('ix_hc_raw_exercise_sessions_id', 'hc_raw_exercise_sessions', ['id']) + op.create_index('ix_hc_raw_exercise_sessions_user_id', 'hc_raw_exercise_sessions', ['user_id']) + op.create_index('ix_hc_raw_exercise_sessions_record_id', 'hc_raw_exercise_sessions', ['record_id']) + op.create_index('ix_hc_raw_exercise_sessions_start_time', 'hc_raw_exercise_sessions', ['start_time']) + op.create_index('ix_exercise_user_date', 'hc_raw_exercise_sessions', ['user_id', 'start_time']) + + # === Nutrition === + op.create_table( + 'hc_raw_nutrition', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('user_id', sa.Integer(), nullable=True), + sa.Column('record_id', sa.String(100), nullable=True), + sa.Column('data_source', sa.String(200), nullable=True), + sa.Column('data_source_name', sa.String(100), nullable=True), + sa.Column('start_time', sa.DateTime(), nullable=True), + sa.Column('end_time', sa.DateTime(), nullable=True), + sa.Column('synced_at', sa.DateTime(), nullable=True), + sa.Column('name', sa.String(200), nullable=True), + sa.Column('meal_type', sa.Integer(), nullable=True), + sa.Column('calories', sa.Float(), nullable=True), + sa.Column('protein_grams', sa.Float(), nullable=True), + sa.Column('carbohydrates_grams', sa.Float(), nullable=True), + sa.Column('fat_grams', sa.Float(), nullable=True), + sa.Column('fiber_grams', sa.Float(), nullable=True), + sa.Column('sugar_grams', sa.Float(), nullable=True), + sa.Column('sync_id', sa.Integer(), nullable=True), + sa.ForeignKeyConstraint(['user_id'], ['users.id']), + sa.ForeignKeyConstraint(['sync_id'], ['health_connect_sync_logs.id']), + sa.PrimaryKeyConstraint('id'), + sa.UniqueConstraint('user_id', 'record_id', 'data_source', name='uq_nutrition_record') + ) + op.create_index('ix_hc_raw_nutrition_id', 'hc_raw_nutrition', ['id']) + op.create_index('ix_hc_raw_nutrition_user_id', 'hc_raw_nutrition', ['user_id']) + op.create_index('ix_hc_raw_nutrition_record_id', 'hc_raw_nutrition', ['record_id']) + op.create_index('ix_hc_raw_nutrition_start_time', 'hc_raw_nutrition', ['start_time']) + op.create_index('ix_nutrition_user_date', 'hc_raw_nutrition', ['user_id', 'start_time']) + + # === Hydration === + op.create_table( + 'hc_raw_hydration', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('user_id', sa.Integer(), nullable=True), + sa.Column('record_id', sa.String(100), nullable=True), + sa.Column('data_source', sa.String(200), nullable=True), + sa.Column('data_source_name', sa.String(100), nullable=True), + sa.Column('start_time', sa.DateTime(), nullable=True), + sa.Column('end_time', sa.DateTime(), nullable=True), + sa.Column('synced_at', sa.DateTime(), nullable=True), + sa.Column('volume_liters', sa.Float(), nullable=True), + sa.Column('sync_id', sa.Integer(), nullable=True), + sa.ForeignKeyConstraint(['user_id'], ['users.id']), + sa.ForeignKeyConstraint(['sync_id'], ['health_connect_sync_logs.id']), + sa.PrimaryKeyConstraint('id'), + sa.UniqueConstraint('user_id', 'record_id', 'data_source', name='uq_hydration_record') + ) + op.create_index('ix_hc_raw_hydration_id', 'hc_raw_hydration', ['id']) + op.create_index('ix_hc_raw_hydration_user_id', 'hc_raw_hydration', ['user_id']) + op.create_index('ix_hc_raw_hydration_record_id', 'hc_raw_hydration', ['record_id']) + op.create_index('ix_hc_raw_hydration_start_time', 'hc_raw_hydration', ['start_time']) + op.create_index('ix_hydration_user_date', 'hc_raw_hydration', ['user_id', 'start_time']) + + +def downgrade() -> None: + # Drop all raw data tables + op.drop_table('hc_raw_hydration') + op.drop_table('hc_raw_nutrition') + op.drop_table('hc_raw_exercise_sessions') + op.drop_table('hc_raw_body_fat') + op.drop_table('hc_raw_height') + op.drop_table('hc_raw_weight') + op.drop_table('hc_raw_spo2') + op.drop_table('hc_raw_calories') + op.drop_table('hc_raw_distance') + op.drop_table('hc_raw_sleep_stages') + op.drop_table('hc_raw_sleep_sessions') + op.drop_table('hc_raw_resting_hr') + op.drop_table('hc_raw_heart_rate_samples') + op.drop_table('hc_raw_heart_rate') + op.drop_table('hc_raw_steps') diff --git a/android-companion/README.md b/android-companion/README.md new file mode 100644 index 0000000..174ffc5 --- /dev/null +++ b/android-companion/README.md @@ -0,0 +1,203 @@ +# HabitForge Android Companion App + +Application Android permettant de synchroniser les donnĂ©es de Health Connect avec votre serveur HabitForge. + +## 🆕 Nouvelles FonctionnalitĂ©s + +### Suivi des Synchronisations +- **Historique complet** : Visualisez l'historique de toutes les synchronisations +- **Statistiques** : Nombre de syncs rĂ©ussies/Ă©chouĂ©es, mĂ©triques totales synchronisĂ©es +- **DĂ©tails** : Chaque sync affiche le temps de traitement, les donnĂ©es transfĂ©rĂ©es et les erreurs + +### ConnectivitĂ© Serveur +- **Indicateur en temps rĂ©el** : Voyez immĂ©diatement si le serveur est en ligne +- **Test de connexion** : Bouton dĂ©diĂ© pour tester la connexion et l'authentification +- **Temps de rĂ©ponse** : Affichage du temps de rĂ©ponse du serveur + +### Validation des DonnĂ©es +- **VĂ©rification de compatibilitĂ©** : Validez que vos donnĂ©es Health Connect sont compatibles avec le schĂ©ma HabitForge +- **Aperçu des donnĂ©es** : PrĂ©visualisation des donnĂ©es avant synchronisation +- **Diagnostic** : Identification des problĂšmes potentiels de mapping + +### Configuration AvancĂ©e +- **PĂ©riode de sync configurable** : Choisissez la frĂ©quence de synchronisation automatique + - Toutes les heures + - Toutes les 3 heures + - Toutes les 6 heures (par dĂ©faut) + - Toutes les 12 heures + - Une fois par jour + +## PrĂ©requis + +- Android Studio (version 2024.2.1 ou plus rĂ©cente) +- JDK 17 +- Un appareil Android avec Android 9+ (API 28+) +- Health Connect installĂ© sur l'appareil + +## Structure du projet + +``` +android-companion/ +├── app/ +│ ├── src/main/ +│ │ ├── java/com/habitforge/companion/ +│ │ │ ├── HabitForgeApp.kt # Application class +│ │ │ ├── MainActivity.kt # UI principale +│ │ │ ├── HealthConnectManager.kt # Lecture des donnĂ©es Health Connect +│ │ │ ├── SyncService.kt # Service de sync en arriĂšre-plan +│ │ │ ├── SyncHistoryManager.kt # Gestion de l'historique des syncs +│ │ │ ├── ServerConnectionManager.kt # Test de connectivitĂ© serveur +│ │ │ ├── DataCompatibilityValidator.kt # Validation schĂ©ma de donnĂ©es +│ │ │ ├── HabitForgeApi.kt # API Retrofit pour le backend +│ │ │ └── PrivacyPolicyActivity.kt # Page de politique de confidentialitĂ© +│ │ ├── res/ +│ │ │ ├── layout/ # Layouts XML +│ │ │ ├── values/ # Couleurs, strings, thĂšmes +│ │ │ └── drawable/ # IcĂŽnes et indicateurs de status +│ │ └── AndroidManifest.xml # Permissions Health Connect +│ └── build.gradle.kts # DĂ©pendances +├── build.gradle.kts # Configuration root +├── settings.gradle.kts # Settings Gradle +└── gradle.properties # PropriĂ©tĂ©s Gradle +``` + +## DonnĂ©es synchronisĂ©es + +L'application lit les donnĂ©es suivantes depuis Health Connect : + +### MĂ©triques quotidiennes +- Pas (Steps) +- Distance parcourue +- Calories brĂ»lĂ©es +- FrĂ©quence cardiaque (moyenne, min, max, repos) +- Sommeil (durĂ©e, phases : profond, lĂ©ger, REM, Ă©veillĂ©) +- Poids +- SpO2 + +### Sessions d'exercice +- Type d'exercice (Running, Walking, Cycling, Swimming, Weight Training, etc.) +- DurĂ©e +- Heure de dĂ©but/fin +- Notes + +## Compilation + +### Option 1 : Via Android Studio + +1. Ouvrir Android Studio +2. `File` > `Open` > SĂ©lectionner le dossier `android-companion` +3. Attendre que Gradle synchronise +4. `Build` > `Build Bundle(s) / APK(s)` > `Build APK(s)` + +### Option 2 : Via ligne de commande + +```powershell +# Se placer dans le dossier du projet +cd c:\dev\git\python\HabitForge\android-companion + +# Compiler en mode debug +.\gradlew assembleDebug + +# Le fichier APK sera dans : +# app\build\outputs\apk\debug\app-debug.apk + +# Compiler en mode release (nĂ©cessite une signature) +.\gradlew assembleRelease +``` + +## Installation sur tĂ©lĂ©phone + +### Via ADB +```powershell +adb install app\build\outputs\apk\debug\app-debug.apk +``` + +### Via Android Studio +- Connecter le tĂ©lĂ©phone en USB (Mode dĂ©bogage activĂ©) +- Cliquer sur "Run" (bouton vert) + +## Configuration + +1. **Installer Health Connect** sur le tĂ©lĂ©phone (Play Store) +2. **Ouvrir HabitForge Companion** +3. **Accorder les permissions** quand demandĂ© +4. **Se connecter Ă  votre compte** : + - Cliquez sur "Login" + - Entrez l'URL du serveur (ex: `http://192.168.x.x:8000`) + - Utilisez les **mĂȘmes identifiants** que l'interface web HabitForge +5. **Tester la connexion** : Utilisez le bouton "Test Connection" pour vĂ©rifier +6. **Valider les donnĂ©es** : Cliquez sur "Validate Data Schema" +7. **Configurer la frĂ©quence** : Choisissez l'intervalle de sync souhaitĂ© +8. **Synchroniser** manuellement ou laisser l'auto-sync + +## Interface Utilisateur + +### Cartes de l'Ă©cran principal + +| Carte | Description | +|-------|-------------| +| **Health Connect** | Statut de Health Connect, bouton pour l'ouvrir | +| **Permissions** | Permissions accordĂ©es/requises, bouton pour les demander | +| **Server** | Configuration serveur, indicateur de disponibilitĂ©, test de connexion | +| **Sync Settings** | FrĂ©quence de sync, derniĂšre sync, bouton Sync Now | +| **Data Compatibility** | Validation du schĂ©ma, aperçu des donnĂ©es | +| **Sync History** | Historique rĂ©cent, statistiques, bouton historique complet | + +### Indicateurs de Status Serveur + +| Indicateur | Signification | +|------------|---------------| +| 🟱 Online | Serveur accessible et connectĂ© | +| 🟠 Auth needed | Serveur accessible mais non connectĂ© | +| 🟠 Timeout | Serveur lent Ă  rĂ©pondre | +| 🔮 Offline | Serveur inaccessible | +| ⚫ Unknown | Statut non vĂ©rifiĂ© | + +## DĂ©pannage + +### "Health Connect not available" +- L'appareil doit ĂȘtre sous Android 9+ +- Installer Health Connect depuis le Play Store + +### "Permissions not granted" +- RĂ©ouvrir l'app et cliquer sur "Grant Permissions" +- S'assurer que Health Connect a des donnĂ©es (d'autres apps comme Google Fit) + +### "Login failed" / "Invalid username or password" +- VĂ©rifier que le serveur HabitForge est accessible (utilisez "Test Connection") +- VĂ©rifier que les identifiants sont corrects (mĂȘmes que l'interface web) +- Consulter les logs via `adb logcat | grep HabitForge` + +### "Sync failed" +- VĂ©rifier que vous ĂȘtes bien connectĂ© +- VĂ©rifier l'historique des syncs pour voir le message d'erreur + +### "Connection timeout" +- VĂ©rifier que le serveur est dĂ©marrĂ© +- VĂ©rifier la connexion rĂ©seau +- Si sur le mĂȘme rĂ©seau local, utiliser l'IP locale (ex: 192.168.x.x) + +### "Data validation issues" +- Cliquez sur "Validate Data Schema" pour diagnostiquer +- VĂ©rifiez que Health Connect contient des donnĂ©es rĂ©centes +- Accordez toutes les permissions demandĂ©es + +## API Backend requise + +L'application nĂ©cessite les endpoints suivants sur votre serveur HabitForge : + +| Endpoint | MĂ©thode | Description | +|----------|---------|-------------| +| `/api/health` | GET | Health check (retourne `{"status": "healthy"}`) | +| `/api/auth/token` | POST | Authentification (OAuth2 form: username, password) | +| `/api/auth/me` | GET | RĂ©cupĂ©rer les infos utilisateur connectĂ© | +| `/api/health-connect/sync` | POST | RĂ©ception des donnĂ©es synchronisĂ©es | + +## SĂ©curitĂ© + +- L'authentification utilise les mĂȘmes identifiants que l'interface web +- Les tokens JWT sont stockĂ©s dans SharedPreferences (mode privĂ©) +- Toutes les connexions utilisent HTTPS en production +- Les donnĂ©es ne quittent jamais l'appareil sauf vers votre serveur configurĂ© +- L'historique des syncs est stockĂ© localement uniquement +- DĂ©connexion possible via le bouton "Logout" diff --git a/android-companion/app/build.gradle.kts b/android-companion/app/build.gradle.kts new file mode 100644 index 0000000..350f566 --- /dev/null +++ b/android-companion/app/build.gradle.kts @@ -0,0 +1,115 @@ +import java.util.Properties +import java.io.File +import java.io.FileInputStream +import java.io.FileOutputStream + +plugins { + id("com.android.application") + id("org.jetbrains.kotlin.android") +} + +fun getBuildNumber(): Int { + val versionFile = file("version.properties") + val properties = Properties() + + if (versionFile.exists()) { + properties.load(FileInputStream(versionFile)) + } + + val buildNumber = (properties.getProperty("build.number") ?: "0").toInt() + 1 + + properties.setProperty("build.number", buildNumber.toString()) + properties.store(FileOutputStream(versionFile), "Auto-incremented Build Number") + + return buildNumber +} + +android { + namespace = "com.habitforge.companion" + compileSdk = 35 + + defaultConfig { + applicationId = "com.habitforge.companion" + minSdk = 28 // Health Connect requires Android 9+ + targetSdk = 34 + + val buildNum = getBuildNumber() + versionCode = buildNum + versionName = "1.0.0.$buildNum" + + testInstrumentationRunner = "androidx.test.runner.AndroidJUnitRunner" + + // Backend URL - change this to your server address + buildConfigField("String", "BACKEND_URL", "\"http://10.0.2.2:8000\"") // 10.0.2.2 = localhost from emulator + } + + buildTypes { + release { + isMinifyEnabled = false + proguardFiles( + getDefaultProguardFile("proguard-android-optimize.txt"), + "proguard-rules.pro" + ) + // For production, change this to your actual server URL + buildConfigField("String", "BACKEND_URL", "\"https://your-habitforge-server.com\"") + } + debug { + buildConfigField("String", "BACKEND_URL", "\"http://10.0.2.2:8000\"") + } + } + + applicationVariants.all { + val variant = this + outputs.all { + (this as? com.android.build.gradle.internal.api.BaseVariantOutputImpl)?.outputFileName = "HabitForge-companion-v${variant.versionName}.apk" + } + } + + compileOptions { + sourceCompatibility = JavaVersion.VERSION_17 + targetCompatibility = JavaVersion.VERSION_17 + } + + kotlinOptions { + jvmTarget = "17" + } + + buildFeatures { + viewBinding = true + buildConfig = true + } +} + +dependencies { + // Core Android + implementation("androidx.core:core-ktx:1.12.0") + implementation("androidx.appcompat:appcompat:1.6.1") + implementation("com.google.android.material:material:1.11.0") + implementation("androidx.constraintlayout:constraintlayout:2.1.4") + implementation("androidx.activity:activity-ktx:1.8.2") + + // Health Connect SDK + implementation("androidx.health.connect:connect-client:1.1.0-alpha10") + + // WorkManager for background sync + implementation("androidx.work:work-runtime-ktx:2.9.0") + + // Networking + implementation("com.squareup.retrofit2:retrofit:2.9.0") + implementation("com.squareup.retrofit2:converter-gson:2.9.0") + implementation("com.squareup.okhttp3:okhttp:4.12.0") + implementation("com.squareup.okhttp3:logging-interceptor:4.12.0") + + // Coroutines + implementation("org.jetbrains.kotlinx:kotlinx-coroutines-android:1.7.3") + implementation("androidx.lifecycle:lifecycle-runtime-ktx:2.7.0") + implementation("androidx.lifecycle:lifecycle-viewmodel-ktx:2.7.0") + + // DataStore for preferences + implementation("androidx.datastore:datastore-preferences:1.0.0") + + // Testing + testImplementation("junit:junit:4.13.2") + androidTestImplementation("androidx.test.ext:junit:1.1.5") + androidTestImplementation("androidx.test.espresso:espresso-core:3.5.1") +} diff --git a/android-companion/app/proguard-rules.pro b/android-companion/app/proguard-rules.pro new file mode 100644 index 0000000..5e10053 --- /dev/null +++ b/android-companion/app/proguard-rules.pro @@ -0,0 +1,11 @@ +# Add project specific ProGuard rules here. +# Keep Retrofit and Gson +-keepattributes Signature +-keepattributes *Annotation* + +-keep class com.habitforge.companion.** { *; } +-keep class retrofit2.** { *; } +-keep class com.google.gson.** { *; } + +# Keep Health Connect classes +-keep class androidx.health.connect.** { *; } diff --git a/android-companion/app/src/main/AndroidManifest.xml b/android-companion/app/src/main/AndroidManifest.xml new file mode 100644 index 0000000..6fdb2cf --- /dev/null +++ b/android-companion/app/src/main/AndroidManifest.xml @@ -0,0 +1,119 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/android-companion/app/src/main/java/com/habitforge/companion/AuthManager.kt b/android-companion/app/src/main/java/com/habitforge/companion/AuthManager.kt new file mode 100644 index 0000000..0551910 --- /dev/null +++ b/android-companion/app/src/main/java/com/habitforge/companion/AuthManager.kt @@ -0,0 +1,282 @@ +package com.habitforge.companion + +import android.content.Context +import android.content.SharedPreferences +import kotlinx.coroutines.Dispatchers +import kotlinx.coroutines.withContext + +/** + * Manages user authentication and session state. + * Handles login, logout, and secure token storage. + */ +class AuthManager(private val context: Context) { + + private val prefs: SharedPreferences = context.getSharedPreferences(PREFS_NAME, Context.MODE_PRIVATE) + + companion object { + private const val PREFS_NAME = "habitforge_auth" + private const val KEY_ACCESS_TOKEN = "access_token" + private const val KEY_REFRESH_TOKEN = "refresh_token" + private const val KEY_USERNAME = "username" + private const val KEY_USER_ID = "user_id" + private const val KEY_SERVER_URL = "server_url" + private const val KEY_IS_LOGGED_IN = "is_logged_in" + + // Default server URL (can be changed) + const val DEFAULT_SERVER_URL = "http://192.168.1.100:8000" + } + + /** + * Check if user is currently logged in + */ + fun isLoggedIn(): Boolean { + return prefs.getBoolean(KEY_IS_LOGGED_IN, false) && + !prefs.getString(KEY_ACCESS_TOKEN, null).isNullOrEmpty() + } + + /** + * Get stored access token with Bearer prefix + */ + fun getAuthorizationHeader(): String? { + val token = prefs.getString(KEY_ACCESS_TOKEN, null) + return if (token != null) "Bearer $token" else null + } + + /** + * Get raw access token (without Bearer prefix) + */ + fun getAccessToken(): String? { + return prefs.getString(KEY_ACCESS_TOKEN, null) + } + + /** + * Get raw refresh token + */ + fun getRefreshToken(): String? { + return prefs.getString(KEY_REFRESH_TOKEN, null) + } + + /** + * Get current username + */ + fun getUsername(): String? { + return prefs.getString(KEY_USERNAME, null) + } + + /** + * Get current user ID + */ + fun getUserId(): Int { + return prefs.getInt(KEY_USER_ID, -1) + } + + /** + * Get configured server URL + */ + fun getServerUrl(): String { + return prefs.getString(KEY_SERVER_URL, BuildConfig.BACKEND_URL) ?: BuildConfig.BACKEND_URL + } + + /** + * Set server URL + */ + fun setServerUrl(url: String) { + prefs.edit().putString(KEY_SERVER_URL, url).apply() + } + + /** + * Attempt to login with username and password + * @return LoginResult with success/failure and message + */ + suspend fun login(serverUrl: String, username: String, password: String): LoginResult { + return withContext(Dispatchers.IO) { + try { + // Ensure URL has proper format + val formattedUrl = formatServerUrl(serverUrl) + + // Create API client + val api = HabitForgeApi.create(formattedUrl) + + // Attempt login + val response = api.login(username, password) + + if (response.isSuccessful && response.body() != null) { + val loginResponse = response.body()!! + val token = loginResponse.access_token + + // Verify token by getting user info + val userResponse = api.getCurrentUser("Bearer $token") + + if (userResponse.isSuccessful && userResponse.body() != null) { + val user = userResponse.body()!! + + // Save credentials + saveSession( + serverUrl = formattedUrl, + token = token, + refreshToken = loginResponse.refresh_token, + username = user.username, + userId = user.id + ) + + LoginResult( + success = true, + message = "Welcome back, ${user.username}!", + username = user.username + ) + } else { + LoginResult( + success = false, + message = "Login successful but failed to get user info" + ) + } + } else { + val errorBody = response.errorBody()?.string() + val errorMessage = when (response.code()) { + 401 -> "Invalid username or password" + 404 -> "Server not found. Check URL." + 500 -> "Server error. Please try again." + else -> errorBody ?: "Login failed (${response.code()})" + } + LoginResult(success = false, message = errorMessage) + } + } catch (e: java.net.UnknownHostException) { + LoginResult(success = false, message = "Cannot reach server. Check URL and network.") + } catch (e: java.net.ConnectException) { + LoginResult(success = false, message = "Connection refused. Is the server running?") + } catch (e: java.net.SocketTimeoutException) { + LoginResult(success = false, message = "Connection timeout. Server may be slow.") + } catch (e: Exception) { + LoginResult(success = false, message = "Error: ${e.message}") + } + } + } + + /** + * Save session data after successful login + */ + private fun saveSession(serverUrl: String, token: String, refreshToken: String, username: String, userId: Int) { + prefs.edit() + .putString(KEY_SERVER_URL, serverUrl) + .putString(KEY_ACCESS_TOKEN, token) + .putString(KEY_REFRESH_TOKEN, refreshToken) + .putString(KEY_USERNAME, username) + .putInt(KEY_USER_ID, userId) + .putBoolean(KEY_IS_LOGGED_IN, true) + .apply() + + // Also update the old prefs for backward compatibility with SyncService + context.getSharedPreferences("habitforge", Context.MODE_PRIVATE) + .edit() + .putString("server_url", serverUrl) + .putString("auth_token", token) + .apply() + } + + /** + * Clear session (logout) + */ + fun logout() { + prefs.edit() + .remove(KEY_ACCESS_TOKEN) + .remove(KEY_REFRESH_TOKEN) + .remove(KEY_USERNAME) + .remove(KEY_USER_ID) + .putBoolean(KEY_IS_LOGGED_IN, false) + .apply() + + // Clear old prefs too + context.getSharedPreferences("habitforge", Context.MODE_PRIVATE) + .edit() + .remove("auth_token") + .apply() + } + + /** + * Refresh token if needed (for future token refresh implementation) + */ + /** + * Refresh token if needed + */ + suspend fun refreshTokenIfNeeded(): Boolean { + val token = getAuthorizationHeader() ?: return false + val serverUrl = getServerUrl() + + return withContext(Dispatchers.IO) { + val api = HabitForgeApi.create(serverUrl) + + // 1. Try to use current token + try { + val response = api.getCurrentUser(token) + if (response.isSuccessful) { + return@withContext true + } + } catch (e: Exception) { + // If it's a network error unrelated to auth, we might want to fail? + // But let's try refresh anyway if we have a refresh token + } + + // 2. Token invalid, try to refresh + val refreshToken = getRefreshToken() ?: return@withContext false + try { + val refreshResponse = api.refreshToken(RefreshTokenRequest(refreshToken)) + if (refreshResponse.isSuccessful && refreshResponse.body() != null) { + val newTokens = refreshResponse.body()!! + updateTokens(newTokens.access_token, newTokens.refresh_token) + return@withContext true + } + } catch (e: Exception) { + // Refresh failed + } + + // 3. Keep logged in locally? No, if we can't refresh, caller handles it. + return@withContext false + } + } + + private fun updateTokens(accessToken: String, refreshToken: String) { + prefs.edit() + .putString(KEY_ACCESS_TOKEN, accessToken) + .putString(KEY_REFRESH_TOKEN, refreshToken) + .apply() + + // Update legacy preference for sync service compatibility if needed + context.getSharedPreferences("habitforge", Context.MODE_PRIVATE) + .edit() + .putString("auth_token", accessToken) + .apply() + } + + /** + * Format server URL to ensure it has proper protocol and no trailing slash + */ + private fun formatServerUrl(url: String): String { + var formatted = url.trim() + + // Add protocol if missing + if (!formatted.startsWith("http://") && !formatted.startsWith("https://")) { + formatted = "http://$formatted" + } + + // Remove trailing slash + if (formatted.endsWith("/")) { + formatted = formatted.dropLast(1) + } + + // Ensure ends with proper format for Retrofit baseUrl + if (!formatted.endsWith("/")) { + formatted = "$formatted/" + } + + return formatted + } +} + +/** + * Result of a login attempt + */ +data class LoginResult( + val success: Boolean, + val message: String, + val username: String? = null +) diff --git a/android-companion/app/src/main/java/com/habitforge/companion/DataCompatibilityValidator.kt b/android-companion/app/src/main/java/com/habitforge/companion/DataCompatibilityValidator.kt new file mode 100644 index 0000000..c60cdb9 --- /dev/null +++ b/android-companion/app/src/main/java/com/habitforge/companion/DataCompatibilityValidator.kt @@ -0,0 +1,354 @@ +package com.habitforge.companion + +import android.content.Context +import android.util.Log +import kotlinx.coroutines.Dispatchers +import kotlinx.coroutines.withContext +import java.time.LocalDate +import java.util.Locale + +/** + * Validates that Health Connect data can be properly mapped to HabitForge schema + */ +class DataCompatibilityValidator( + private val context: Context, + private val healthConnectManager: HealthConnectManager +) { + companion object { + private const val TAG = "DataCompatibilityValidator" + } + + /** + * Run full compatibility validation + */ + suspend fun validateCompatibility(): ValidationResult = withContext(Dispatchers.IO) { + val issues = mutableListOf() + val validations = mutableListOf() + + Log.i(TAG, "Starting data compatibility validation...") + + // Check Health Connect availability + val availability = healthConnectManager.isAvailable() + validations.add( + ValidationItem( + name = "Health Connect Availability", + passed = availability == HealthConnectAvailability.AVAILABLE, + message = when (availability) { + HealthConnectAvailability.AVAILABLE -> "Health Connect is available" + HealthConnectAvailability.NOT_INSTALLED -> "Health Connect is not installed" + HealthConnectAvailability.NOT_SUPPORTED -> "Health Connect is not supported on this device" + } + ) + ) + + if (availability != HealthConnectAvailability.AVAILABLE) { + return@withContext ValidationResult( + isCompatible = false, + validations = validations, + issues = listOf(ValidationIssue( + severity = IssueSeverity.ERROR, + category = "Health Connect", + message = "Health Connect is not available" + )), + dataPreview = null + ) + } + + // Check permissions + val hasPermissions = healthConnectManager.hasAllPermissions() + val grantedPermissions = healthConnectManager.getGrantedPermissions() + val totalPermissions = HealthConnectManager.PERMISSIONS.size + + validations.add( + ValidationItem( + name = "Permissions", + passed = hasPermissions, + message = "Granted: ${grantedPermissions.size}/$totalPermissions" + ) + ) + + if (!hasPermissions) { + issues.add(ValidationIssue( + severity = IssueSeverity.WARNING, + category = "Permissions", + message = "Not all permissions granted. Some data types may not sync." + )) + } + + // Try to read sample data to validate schema mapping + try { + val endDate = LocalDate.now() + val startDate = endDate.minusDays(1) + + // Test daily metrics reading + val metrics = healthConnectManager.readDailyMetrics(startDate, endDate) + validations.add( + ValidationItem( + name = "Daily Metrics Schema", + passed = true, + message = "Successfully read ${metrics.size} day(s) of metrics" + ) + ) + + // Validate each metric field + val fieldValidations = validateDailyMetricsFields(metrics) + validations.addAll(fieldValidations.validations) + issues.addAll(fieldValidations.issues) + + // Test exercise sessions reading + val exercises = healthConnectManager.readExerciseSessions(startDate, endDate) + validations.add( + ValidationItem( + name = "Exercise Sessions Schema", + passed = true, + message = "Successfully read ${exercises.size} exercise session(s)" + ) + ) + + // Validate exercise fields + val exerciseValidations = validateExerciseFields(exercises) + validations.addAll(exerciseValidations.validations) + issues.addAll(exerciseValidations.issues) + + // Build data preview + val dataPreview = buildDataPreview(metrics, exercises) + + // Final compatibility check + val hasErrors = issues.any { it.severity == IssueSeverity.ERROR } + + ValidationResult( + isCompatible = !hasErrors, + validations = validations, + issues = issues, + dataPreview = dataPreview + ) + + } catch (e: Exception) { + Log.e(TAG, "Validation failed", e) + issues.add(ValidationIssue( + severity = IssueSeverity.ERROR, + category = "Data Reading", + message = "Failed to read data: ${e.localizedMessage}" + )) + + ValidationResult( + isCompatible = false, + validations = validations, + issues = issues, + dataPreview = null + ) + } + } + + private fun validateDailyMetricsFields(metrics: List): FieldValidationResult { + val validations = mutableListOf() + val issues = mutableListOf() + + if (metrics.isEmpty()) { + issues.add(ValidationIssue( + severity = IssueSeverity.INFO, + category = "Daily Metrics", + message = "No daily metrics data found for the test period" + )) + return FieldValidationResult(validations, issues) + } + + val sample = metrics.first() + + // Steps validation + validations.add(ValidationItem( + name = "Steps Field", + passed = sample.steps >= 0, + message = "Value: ${sample.steps}" + )) + + // Distance validation + validations.add(ValidationItem( + name = "Distance Field", + passed = sample.distanceMeters >= 0, + message = "Value: ${String.format(Locale.US, "%.2f", sample.distanceMeters)} meters" + )) + + // Calories validation + validations.add(ValidationItem( + name = "Calories Field", + passed = sample.caloriesBurned >= 0, + message = "Value: ${sample.caloriesBurned} kcal" + )) + + // Heart rate validation (optional field) + val hrStatus = if (sample.avgHeartRate != null) { + "Value: ${sample.avgHeartRate} bpm" + } else { + "No data available (optional)" + } + validations.add(ValidationItem( + name = "Heart Rate Field", + passed = true, + message = hrStatus + )) + + // Sleep validation + validations.add(ValidationItem( + name = "Sleep Fields", + passed = sample.sleepDurationMinutes >= 0, + message = "Duration: ${sample.sleepDurationMinutes} min, Deep: ${sample.deepSleepMinutes} min" + )) + + // Weight validation (optional) + val weightStatus = if (sample.weight != null) { + "Value: ${String.format(Locale.US, "%.1f", sample.weight)} kg" + } else { + "No data available (optional)" + } + validations.add(ValidationItem( + name = "Weight Field", + passed = true, + message = weightStatus + )) + + // SpO2 validation (optional) + val spo2Status = if (sample.spo2 != null) { + "Value: ${String.format(Locale.US, "%.1f", sample.spo2)}%" + } else { + "No data available (optional)" + } + validations.add(ValidationItem( + name = "SpO2 Field", + passed = true, + message = spo2Status + )) + + return FieldValidationResult(validations, issues) + } + + private fun validateExerciseFields(exercises: List): FieldValidationResult { + val validations = mutableListOf() + val issues = mutableListOf() + + if (exercises.isEmpty()) { + issues.add(ValidationIssue( + severity = IssueSeverity.INFO, + category = "Exercise Sessions", + message = "No exercise sessions found for the test period" + )) + return FieldValidationResult(validations, issues) + } + + val sample = exercises.first() + + // Time fields validation + validations.add(ValidationItem( + name = "Exercise Time Fields", + passed = sample.startTime.isNotEmpty() && sample.endTime.isNotEmpty(), + message = "Start: ${sample.startTime.take(19)}" + )) + + // Exercise type validation + validations.add(ValidationItem( + name = "Exercise Type Field", + passed = sample.exerciseType >= 0, + message = "Type: ${sample.exerciseTypeName}" + )) + + // Duration validation + validations.add(ValidationItem( + name = "Duration Field", + passed = sample.durationMinutes > 0, + message = "Duration: ${sample.durationMinutes} minutes" + )) + + return FieldValidationResult(validations, issues) + } + + private fun buildDataPreview(metrics: List, exercises: List): DataPreview { + val metricsPreview = if (metrics.isNotEmpty()) { + val m = metrics.first() + """ + |Date: ${m.date} + |Steps: ${m.steps} + |Distance: ${String.format(Locale.US, "%.0f", m.distanceMeters)}m + |Calories: ${m.caloriesBurned} + |Heart Rate: ${m.avgHeartRate ?: "N/A"} bpm + |Sleep: ${m.sleepDurationMinutes} min + """.trimMargin() + } else { + "No metrics data available" + } + + val exercisesPreview = if (exercises.isNotEmpty()) { + exercises.take(3).joinToString("\n") { e -> + "‱ ${e.exerciseTypeName}: ${e.durationMinutes} min" + } + } else { + "No exercise sessions available" + } + + return DataPreview( + dailyMetricsPreview = metricsPreview, + exerciseSessionsPreview = exercisesPreview, + metricsCount = metrics.size, + exercisesCount = exercises.size + ) + } +} + +// ==================== DATA CLASSES ==================== + +data class ValidationResult( + val isCompatible: Boolean, + val validations: List, + val issues: List, + val dataPreview: DataPreview? +) { + fun getOverallStatus(): String { + return if (isCompatible) { + val warnings = issues.count { it.severity == IssueSeverity.WARNING } + if (warnings > 0) { + "Compatible with $warnings warning(s)" + } else { + "Fully compatible" + } + } else { + "Incompatible - see errors" + } + } + + fun getStatusIcon(): String { + return if (isCompatible) { + if (issues.any { it.severity == IssueSeverity.WARNING }) "⚠" else "✓" + } else { + "✗" + } + } +} + +data class ValidationItem( + val name: String, + val passed: Boolean, + val message: String +) + +data class ValidationIssue( + val severity: IssueSeverity, + val category: String, + val message: String +) + +enum class IssueSeverity { + INFO, + WARNING, + ERROR +} + +data class DataPreview( + val dailyMetricsPreview: String, + val exerciseSessionsPreview: String, + val metricsCount: Int, + val exercisesCount: Int +) + +private data class FieldValidationResult( + val validations: List, + val issues: List +) diff --git a/android-companion/app/src/main/java/com/habitforge/companion/HabitForgeApi.kt b/android-companion/app/src/main/java/com/habitforge/companion/HabitForgeApi.kt new file mode 100644 index 0000000..66f15da --- /dev/null +++ b/android-companion/app/src/main/java/com/habitforge/companion/HabitForgeApi.kt @@ -0,0 +1,316 @@ +package com.habitforge.companion + +import java.util.concurrent.TimeUnit +import okhttp3.OkHttpClient +import okhttp3.logging.HttpLoggingInterceptor +import retrofit2.Response +import retrofit2.Retrofit +import retrofit2.converter.gson.GsonConverterFactory +import retrofit2.http.* + +/** Retrofit API interface for communicating with HabitForge backend */ +interface HabitForgeApi { + + /** Login with username and password (OAuth2 form data) Returns access token on success */ + @FormUrlEncoded + @POST("api/auth/token") + suspend fun login( + @Field("username") username: String, + @Field("password") password: String + ): Response + + /** Refresh access token */ + @POST("api/auth/refresh") + suspend fun refreshToken(@Body request: RefreshTokenRequest): Response + + /** Get current user information */ + @GET("api/auth/me") + suspend fun getCurrentUser(@Header("Authorization") token: String): Response + + /** Sync aggregated health data (legacy endpoint) */ + @POST("api/health-connect/sync") + suspend fun syncHealthData( + @Header("Authorization") token: String, + @Body request: HealthConnectSyncRequest + ): Response + + /** Sync raw health data (new endpoint for individual records) */ + @POST("api/health-connect/sync-raw") + suspend fun syncRawHealthData( + @Header("Authorization") token: String, + @Body request: RawDataSyncRequest + ): Response + + @GET("api/health-connect/status") + suspend fun getSyncStatus( + @Header("Authorization") token: String + ): Response + + companion object { + fun create(baseUrl: String): HabitForgeApi { + val logging = + HttpLoggingInterceptor().apply { + level = HttpLoggingInterceptor.Level.BODY + } + + val client = + OkHttpClient.Builder() + .addInterceptor(logging) + .connectTimeout(30, TimeUnit.SECONDS) + .readTimeout( + 120, + TimeUnit.SECONDS + ) // Increased for large raw data + .writeTimeout(120, TimeUnit.SECONDS) + .build() + + return Retrofit.Builder() + .baseUrl(baseUrl) + .client(client) + .addConverterFactory(GsonConverterFactory.create()) + .build() + .create(HabitForgeApi::class.java) + } + } +} + +// ==================== LEGACY REQUEST/RESPONSE MODELS ==================== + +data class HealthConnectSyncRequest( + val device_id: String, + val sync_timestamp: String, + val daily_metrics: List, + val exercise_sessions: List +) + +data class DailyMetricsPayload( + val date: String, + val step_count: Int, + val distance_meters: Double, + val calories_burned: Double, + val total_calories: Double = 0.0, + val avg_heart_rate: Int?, + val min_heart_rate: Int?, + val max_heart_rate: Int?, + val resting_heart_rate: Int?, + val sleep_duration_minutes: Int, + val deep_sleep_minutes: Int, + val light_sleep_minutes: Int, + val rem_sleep_minutes: Int, + val awake_duration_minutes: Int, + val weight: Double?, + val avg_spo2: Double?, + val min_spo2: Double? = null, + val max_spo2: Double? = null, + // Data source tracking + val data_source: String? = null, // Package name (e.g., "com.huami.watch.hmwatchmanager") + val data_source_name: String? = null // Friendly name (e.g., "Zepp") +) + +data class ExerciseSessionPayload( + val start_time: String, + val end_time: String, + val exercise_type: Int, + val exercise_type_name: String?, + val duration_seconds: Int, + val title: String?, + val notes: String?, + val calories_burned: Double? = null, + val distance_meters: Double? = null, + val avg_heart_rate: Int? = null, + val max_heart_rate: Int? = null, + val min_heart_rate: Int? = null, + val steps: Int? = null, + val elevation_gained: Double? = null +) + +data class SyncResponse( + val status: String, + val message: String, + val sync_id: Int, + val metrics_synced: Int, + val exercises_synced: Int +) + +data class SyncStatusResponse( + val has_data: Boolean, + val last_sync: String?, + val total_records: Int +) + +// ==================== RAW DATA SYNC MODELS ==================== + +/** Complete raw data sync request */ +data class RawDataSyncRequest( + val device_id: String, + val sync_timestamp: String, + val steps_records: List = emptyList(), + val heart_rate_records: List = emptyList(), + val resting_hr_records: List = emptyList(), + val sleep_sessions: List = emptyList(), + val distance_records: List = emptyList(), + val calories_records: List = emptyList(), + val spo2_records: List = emptyList(), + val weight_records: List = emptyList(), + val height_records: List = emptyList(), + val body_fat_records: List = emptyList(), + val exercise_sessions: List = emptyList(), + val nutrition_records: List = emptyList(), + val hydration_records: List = emptyList() +) + +data class RawStepsPayload( + val record_id: String, + val data_source: String, + val data_source_name: String?, + val start_time: String, + val end_time: String, + val count: Long +) + +data class HeartRateSamplePayload(val time: String, val bpm: Long) + +data class RawHeartRatePayload( + val record_id: String, + val data_source: String, + val data_source_name: String?, + val start_time: String, + val end_time: String, + val samples: List +) + +data class RawRestingHRPayload( + val record_id: String, + val data_source: String, + val data_source_name: String?, + val time: String, + val bpm: Long +) + +data class SleepStagePayload( + val start_time: String, + val end_time: String, + val stage_type: Int, + val stage_name: String? +) + +data class RawSleepSessionPayload( + val record_id: String, + val data_source: String, + val data_source_name: String?, + val start_time: String, + val end_time: String, + val title: String?, + val notes: String?, + val stages: List +) + +data class RawDistancePayload( + val record_id: String, + val data_source: String, + val data_source_name: String?, + val start_time: String, + val end_time: String, + val distance_meters: Double +) + +data class RawCaloriesPayload( + val record_id: String, + val data_source: String, + val data_source_name: String?, + val start_time: String, + val end_time: String, + val calories: Double, + val record_type: String +) + +data class RawSpo2Payload( + val record_id: String, + val data_source: String, + val data_source_name: String?, + val time: String, + val percentage: Double +) + +data class RawWeightPayload( + val record_id: String, + val data_source: String, + val data_source_name: String?, + val time: String, + val weight_kg: Double +) + +data class RawHeightPayload( + val record_id: String, + val data_source: String, + val data_source_name: String?, + val time: String, + val height_meters: Double +) + +data class RawBodyFatPayload( + val record_id: String, + val data_source: String, + val data_source_name: String?, + val time: String, + val percentage: Double +) + +data class RawExercisePayload( + val record_id: String, + val data_source: String, + val data_source_name: String?, + val start_time: String, + val end_time: String, + val exercise_type: Int, + val exercise_type_name: String?, + val title: String?, + val notes: String?, + val distance_meters: Double?, + val calories: Double?, + val avg_heart_rate: Int?, + val max_heart_rate: Int?, + val min_heart_rate: Int?, + val steps: Int?, + val elevation_gained_meters: Double? +) + +data class RawNutritionPayload( + val record_id: String, + val data_source: String, + val data_source_name: String?, + val start_time: String, + val end_time: String, + val name: String?, + val meal_type: Int?, + val calories: Double?, + val protein_grams: Double?, + val carbohydrates_grams: Double?, + val fat_grams: Double?, + val fiber_grams: Double?, + val sugar_grams: Double? +) + +data class RawHydrationPayload( + val record_id: String, + val data_source: String, + val data_source_name: String?, + val start_time: String, + val end_time: String, + val volume_liters: Double +) + +data class RawSyncResponse( + val status: String, + val message: String, + val sync_id: Int, + val records_synced: Map +) + +// ==================== AUTH MODELS ==================== + +data class RefreshTokenRequest(val refresh_token: String) + +data class LoginResponse(val access_token: String, val refresh_token: String, val token_type: String) + +data class UserResponse(val id: Int, val username: String) diff --git a/android-companion/app/src/main/java/com/habitforge/companion/HabitForgeApp.kt b/android-companion/app/src/main/java/com/habitforge/companion/HabitForgeApp.kt new file mode 100644 index 0000000..d2bc424 --- /dev/null +++ b/android-companion/app/src/main/java/com/habitforge/companion/HabitForgeApp.kt @@ -0,0 +1,27 @@ +package com.habitforge.companion + +import android.app.Application +import androidx.work.Configuration + +class HabitForgeApp : Application(), Configuration.Provider { + + lateinit var healthConnectManager: HealthConnectManager + private set + + override fun onCreate() { + super.onCreate() + instance = this + healthConnectManager = HealthConnectManager(this) + + // Initialize periodic sync if user is logged in (ensures sync persists after app restart) + RawDataSyncService.initializeIfLoggedIn(this) + } + + override val workManagerConfiguration: Configuration + get() = Configuration.Builder().setMinimumLoggingLevel(android.util.Log.INFO).build() + + companion object { + lateinit var instance: HabitForgeApp + private set + } +} diff --git a/android-companion/app/src/main/java/com/habitforge/companion/HealthConnectManager.kt b/android-companion/app/src/main/java/com/habitforge/companion/HealthConnectManager.kt new file mode 100644 index 0000000..83b32ab --- /dev/null +++ b/android-companion/app/src/main/java/com/habitforge/companion/HealthConnectManager.kt @@ -0,0 +1,941 @@ +package com.habitforge.companion + +import android.content.Context +import android.util.Log +import androidx.health.connect.client.HealthConnectClient +import androidx.health.connect.client.permission.HealthPermission +import androidx.health.connect.client.records.* +import androidx.health.connect.client.request.ReadRecordsRequest +import androidx.health.connect.client.time.TimeRangeFilter +import java.time.Instant +import java.time.LocalDate +import java.time.ZoneId +import java.time.temporal.ChronoUnit +import kotlinx.coroutines.Dispatchers +import kotlinx.coroutines.withContext + +/** + * Health Connect Manager - Handles all interactions with Health Connect API Implements: Permission + * requests, data reading, and source filtering + */ +class HealthConnectManager(private val context: Context) { + + private var healthConnectClient: HealthConnectClient? = null + + // Data source preferences + private val prefs by lazy { + context.getSharedPreferences("habitforge_sources", Context.MODE_PRIVATE) + } + + companion object { + private const val TAG = "HealthConnectManager" + private const val PREF_PREFERRED_SOURCE = "preferred_data_source" + private const val PREF_SOURCE_FILTER_ENABLED = "source_filter_enabled" + + // All permissions we need to read health data + val PERMISSIONS = + setOf( + // Activity + HealthPermission.getReadPermission(StepsRecord::class), + HealthPermission.getReadPermission(DistanceRecord::class), + HealthPermission.getReadPermission( + TotalCaloriesBurnedRecord::class + ), + HealthPermission.getReadPermission( + ActiveCaloriesBurnedRecord::class + ), + + // Heart & Vitals + HealthPermission.getReadPermission(HeartRateRecord::class), + HealthPermission.getReadPermission(RestingHeartRateRecord::class), + HealthPermission.getReadPermission( + HeartRateVariabilityRmssdRecord::class + ), + HealthPermission.getReadPermission(OxygenSaturationRecord::class), + HealthPermission.getReadPermission(RespiratoryRateRecord::class), + + // Body Measurements + HealthPermission.getReadPermission(WeightRecord::class), + HealthPermission.getReadPermission(HeightRecord::class), + HealthPermission.getReadPermission(BodyFatRecord::class), + HealthPermission.getReadPermission(BasalMetabolicRateRecord::class), + + // Sleep + HealthPermission.getReadPermission(SleepSessionRecord::class), + + // Exercise + HealthPermission.getReadPermission(ExerciseSessionRecord::class), + HealthPermission.getReadPermission(PowerRecord::class), + HealthPermission.getReadPermission(SpeedRecord::class), + + // Nutrition + HealthPermission.getReadPermission(NutritionRecord::class), + HealthPermission.getReadPermission(HydrationRecord::class), + + // Historical data access (for data older than 30 days) + "android.permission.health.READ_HEALTH_DATA_HISTORY" + ) + + // Known data sources with friendly names + val KNOWN_SOURCES = + mapOf( + "com.huami.watch.hmwatchmanager" to "Zepp", + "com.google.android.apps.fitness" to "Google Fit", + "com.sec.android.app.shealth" to "Samsung Health", + "com.xiaomi.wearable" to "Mi Fitness", + "com.oneplus.health" to "OnePlus Health" + // Add more as discovered + ) + } + + // ==================== DATA SOURCE MANAGEMENT ==================== + + /** Get all available data sources from Health Connect */ + suspend fun getAvailableDataSources(): List = + withContext(Dispatchers.IO) { + val client = healthConnectClient ?: return@withContext emptyList() + val sources = mutableSetOf() + + try { + // Check sources from recent steps records + val timeRange = + TimeRangeFilter.between( + LocalDate.now() + .minusDays(30) + .atStartOfDay(ZoneId.systemDefault()) + .toInstant(), + LocalDate.now() + .plusDays(1) + .atStartOfDay(ZoneId.systemDefault()) + .toInstant() + ) + + val stepsRecords = + readAllRecordsPaginated(client, timeRange) + stepsRecords.forEach { record -> + sources.add(record.metadata.dataOrigin.packageName) + } + + Log.d(TAG, "Found ${sources.size} data sources: $sources") + } catch (e: Exception) { + Log.e(TAG, "Error getting data sources", e) + } + + sources + .map { packageName -> + DataSourceInfo( + packageName = packageName, + displayName = KNOWN_SOURCES[packageName] + ?: packageName.substringAfterLast( + "." + ) + .replaceFirstChar { + it.uppercase() + }, + isPreferred = packageName == getPreferredSource() + ) + } + .sortedBy { it.displayName } + } + + /** Set the preferred data source */ + fun setPreferredSource(packageName: String?) { + prefs.edit().putString(PREF_PREFERRED_SOURCE, packageName).apply() + Log.d(TAG, "Preferred source set to: $packageName") + } + + /** Get the preferred data source */ + fun getPreferredSource(): String? { + return prefs.getString(PREF_PREFERRED_SOURCE, null) + } + + /** Enable/disable source filtering */ + fun setSourceFilterEnabled(enabled: Boolean) { + prefs.edit().putBoolean(PREF_SOURCE_FILTER_ENABLED, enabled).apply() + } + + /** Check if source filtering is enabled */ + fun isSourceFilterEnabled(): Boolean { + return prefs.getBoolean(PREF_SOURCE_FILTER_ENABLED, false) + } + + /** Get friendly name for a package */ + fun getSourceDisplayName(packageName: String): String { + return KNOWN_SOURCES[packageName] + ?: packageName.substringAfterLast(".").replaceFirstChar { it.uppercase() } + } + + // ==================== AVAILABILITY & PERMISSIONS ==================== + + /** Check if Health Connect is available on this device */ + fun isAvailable(): HealthConnectAvailability { + return when (HealthConnectClient.getSdkStatus(context)) { + HealthConnectClient.SDK_AVAILABLE -> { + healthConnectClient = HealthConnectClient.getOrCreate(context) + HealthConnectAvailability.AVAILABLE + } + HealthConnectClient.SDK_UNAVAILABLE_PROVIDER_UPDATE_REQUIRED -> { + HealthConnectAvailability.NOT_INSTALLED + } + else -> HealthConnectAvailability.NOT_SUPPORTED + } + } + + /** Check which permissions are currently granted */ + suspend fun getGrantedPermissions(): Set { + val client = healthConnectClient ?: return emptySet() + return client.permissionController.getGrantedPermissions() + } + + /** Check if we have all required permissions */ + suspend fun hasAllPermissions(): Boolean { + val granted = getGrantedPermissions() + return PERMISSIONS.all { it in granted } + } + + // ==================== DATA READING METHODS ==================== + + /** Read daily metrics for a specific date range */ + suspend fun readDailyMetrics(startDate: LocalDate, endDate: LocalDate): List = + withContext(Dispatchers.IO) { + val client = + healthConnectClient + ?: run { + if (isAvailable() == + HealthConnectAvailability.AVAILABLE + ) + healthConnectClient + else null + } + ?: return@withContext emptyList() + + // Validate date range + val actualStartDate = if (startDate.isAfter(endDate)) endDate else startDate + val actualEndDate = + if (endDate.isBefore(actualStartDate)) actualStartDate else endDate + + Log.d( + TAG, + "=== Starting readDailyMetrics from $actualStartDate to $actualEndDate ===" + ) + + val preferredSource = + if (isSourceFilterEnabled()) getPreferredSource() else null + Log.d( + TAG, + "Source filter: ${if (preferredSource != null) "filtering by $preferredSource" else "disabled"}" + ) + + val metrics = mutableListOf() + var chunkStartDate = actualStartDate + var chunkNumber = 0 + + // Process in 30-day chunks to avoid OOM and partial failures + while (!chunkStartDate.isAfter(actualEndDate)) { + chunkNumber++ + val chunkEndDate = + if (chunkStartDate.plusDays(29).isAfter(actualEndDate)) { + actualEndDate + } else { + chunkStartDate.plusDays(29) + } + + try { + Log.d( + TAG, + "=== Chunk $chunkNumber: $chunkStartDate to $chunkEndDate ===" + ) + + val chunkStartInstant = + chunkStartDate + .atStartOfDay(ZoneId.systemDefault()) + .toInstant() + val chunkEndInstant = + chunkEndDate + .plusDays(1) + .atStartOfDay(ZoneId.systemDefault()) + .toInstant() + val timeRange = + TimeRangeFilter.between( + chunkStartInstant, + chunkEndInstant + ) + + // Fetch all metrics for this chunk using pagination + val chunkSteps = + try { + val allSteps = + readAllRecordsPaginated< + StepsRecord>( + client, + timeRange + ) + // Filter by source if enabled, also filter + // out invalid records + allSteps.filter { record -> + val validTime = + record.startTime.isBefore( + record.endTime + ) + val matchesSource = + preferredSource == null || + record.metadata + .dataOrigin + .packageName == + preferredSource + if (!validTime) { + Log.w( + TAG, + "Skipping invalid StepsRecord: startTime >= endTime" + ) + } + validTime && matchesSource + } + } catch (e: Exception) { + Log.e( + TAG, + "Chunk $chunkNumber: Error reading steps", + e + ) + emptyList() + } + + val chunkDistance = + try { + val all = + readAllRecordsPaginated< + DistanceRecord>( + client, + timeRange + ) + all.filter { record -> + val validTime = + record.startTime.isBefore( + record.endTime + ) + val matchesSource = + preferredSource == null || + record.metadata + .dataOrigin + .packageName == + preferredSource + validTime && matchesSource + } + } catch (e: Exception) { + Log.w( + TAG, + "Chunk $chunkNumber: Error reading distance", + e + ) + emptyList() + } + + val chunkCalories = + try { + val all = + readAllRecordsPaginated< + TotalCaloriesBurnedRecord>( + client, + timeRange + ) + all.filter { record -> + val validTime = + record.startTime.isBefore( + record.endTime + ) + val matchesSource = + preferredSource == null || + record.metadata + .dataOrigin + .packageName == + preferredSource + validTime && matchesSource + } + } catch (e: Exception) { + Log.w( + TAG, + "Chunk $chunkNumber: Error reading calories", + e + ) + emptyList() + } + + val chunkHeartRate = + try { + val all = + readAllRecordsPaginated< + HeartRateRecord>( + client, + timeRange + ) + all.filter { record -> + val validTime = + record.startTime.isBefore( + record.endTime + ) + val matchesSource = + preferredSource == null || + record.metadata + .dataOrigin + .packageName == + preferredSource + validTime && matchesSource + } + } catch (e: Exception) { + Log.w( + TAG, + "Chunk $chunkNumber: Error reading heart rate", + e + ) + emptyList() + } + + val chunkRestingHR = + try { + val all = + readAllRecordsPaginated< + RestingHeartRateRecord>( + client, + timeRange + ) + all.filter { + preferredSource == null || + it.metadata + .dataOrigin + .packageName == + preferredSource + } + } catch (e: Exception) { + Log.w( + TAG, + "Chunk $chunkNumber: Error reading resting HR", + e + ) + emptyList() + } + + val chunkSleep = + try { + val all = + readAllRecordsPaginated< + SleepSessionRecord>( + client, + timeRange + ) + all.filter { record -> + val validTime = + record.startTime.isBefore( + record.endTime + ) + val matchesSource = + preferredSource == null || + record.metadata + .dataOrigin + .packageName == + preferredSource + validTime && matchesSource + } + } catch (e: Exception) { + Log.w( + TAG, + "Chunk $chunkNumber: Error reading sleep", + e + ) + emptyList() + } + + val chunkWeight = + try { + val all = + readAllRecordsPaginated< + WeightRecord>( + client, + timeRange + ) + all.filter { + preferredSource == null || + it.metadata + .dataOrigin + .packageName == + preferredSource + } + } catch (e: Exception) { + Log.w( + TAG, + "Chunk $chunkNumber: Error reading weight", + e + ) + emptyList() + } + + val chunkSpo2 = + try { + val all = + readAllRecordsPaginated< + OxygenSaturationRecord>( + client, + timeRange + ) + all.filter { + preferredSource == null || + it.metadata + .dataOrigin + .packageName == + preferredSource + } + } catch (e: Exception) { + Log.w( + TAG, + "Chunk $chunkNumber: Error reading spo2", + e + ) + emptyList() + } + + Log.d( + TAG, + "Chunk $chunkNumber filtered data: Steps=${chunkSteps.size}, Distance=${chunkDistance.size}, Calories=${chunkCalories.size}, HR=${chunkHeartRate.size}, Sleep=${chunkSleep.size}" + ) + + // Get primary source for this chunk + val primarySource = + chunkSteps.firstOrNull() + ?.metadata + ?.dataOrigin + ?.packageName + ?: "" + + // Process each day in this chunk + var currentDate = chunkStartDate + var daysWithSteps = 0 + + while (!currentDate.isAfter(chunkEndDate)) { + try { + val dayStart = + currentDate + .atStartOfDay( + ZoneId.systemDefault() + ) + .toInstant() + val dayEnd = + currentDate + .plusDays(1) + .atStartOfDay( + ZoneId.systemDefault() + ) + .toInstant() + + // Filter records for this specific day + val daySteps = + chunkSteps + .filter { + !it.startTime.isBefore(dayStart) && + it.startTime.isBefore(dayEnd) + } + .sumOf { it.count } + + if (daySteps > 0) { + daysWithSteps++ + } + + val dayDistance = + chunkDistance + .filter { + !it.startTime.isBefore(dayStart) && + it.startTime.isBefore(dayEnd) + } + .sumOf { + it.distance.inMeters + } + + val dayCalories = + chunkCalories + .filter { + !it.startTime.isBefore(dayStart) && + it.startTime.isBefore(dayEnd) + } + .sumOf { + it.energy + .inKilocalories + } + + val dayHRRecords = + chunkHeartRate.filter { + !it.startTime.isBefore(dayStart) && + it.startTime.isBefore(dayEnd) + } + val hrSamples = + dayHRRecords.flatMap { it.samples } + + val dayRestingHR = + chunkRestingHR + .filter { + !it.time.isBefore(dayStart) && + it.time.isBefore(dayEnd) + } + .lastOrNull() + ?.beatsPerMinute + ?.toInt() + + val dayWeight = + chunkWeight + .filter { + !it.time.isBefore(dayStart) && + it.time.isBefore(dayEnd) + } + .lastOrNull() + ?.weight + ?.inKilograms + + val daySpo2 = + chunkSpo2 + .filter { + !it.time.isBefore(dayStart) && + it.time.isBefore(dayEnd) + } + .lastOrNull() + ?.percentage + ?.value + + // Sleep logic - attribute to waking day + val daySleep = + chunkSleep.filter { + !it.endTime.isBefore(dayStart) && + !it.endTime.isAfter(dayEnd) + } + var totalSleep = 0 + var deep = 0 + var light = 0 + var rem = 0 + var awake = 0 + + daySleep.forEach { session -> + totalSleep += + ChronoUnit.MINUTES + .between( + session.startTime, + session.endTime + ) + .toInt() + session.stages.forEach { stage -> + val dur = + ChronoUnit.MINUTES + .between( + stage.startTime, + stage.endTime + ) + .toInt() + when (stage.stage) { + SleepSessionRecord + .STAGE_TYPE_DEEP -> + deep += dur + SleepSessionRecord + .STAGE_TYPE_LIGHT -> + light += dur + SleepSessionRecord + .STAGE_TYPE_REM -> + rem += dur + SleepSessionRecord + .STAGE_TYPE_AWAKE -> + awake += dur + } + } + } + + metrics.add( + DailyMetrics( + date = + currentDate + .toString(), + steps = daySteps, + distanceMeters = + dayDistance, + caloriesBurned = + dayCalories, + avgHeartRate = + if (hrSamples + .isNotEmpty() + ) { + hrSamples + .map { + it.beatsPerMinute + } + .average() + .toInt() + } else null, + minHeartRate = + if (hrSamples + .isNotEmpty() + ) { + hrSamples + .minOf { + it.beatsPerMinute + } + .toInt() + } else null, + maxHeartRate = + if (hrSamples + .isNotEmpty() + ) { + hrSamples + .maxOf { + it.beatsPerMinute + } + .toInt() + } else null, + restingHeartRate = + dayRestingHR, + sleepDurationMinutes = + totalSleep, + deepSleepMinutes = deep, + lightSleepMinutes = light, + remSleepMinutes = rem, + awakeMinutes = awake, + weight = dayWeight, + spo2 = daySpo2, + dataSource = primarySource + ) + ) + } catch (e: Exception) { + Log.e( + TAG, + "Error processing day $currentDate in chunk $chunkNumber", + e + ) + } + + currentDate = currentDate.plusDays(1) + } + + Log.d( + TAG, + "Chunk $chunkNumber complete: $daysWithSteps days with steps data" + ) + } catch (e: Exception) { + Log.e( + TAG, + "=== Chunk $chunkNumber FAILED with exception ===", + e + ) + } + + // Move to next chunk + chunkStartDate = chunkEndDate.plusDays(1) + } + + Log.d( + TAG, + "=== readDailyMetrics complete: ${metrics.size} total days, ${metrics.count { it.steps > 0 }} with steps ===" + ) + metrics + } + + /** Read exercise sessions for a date range with pagination support */ + suspend fun readExerciseSessions( + startDate: LocalDate, + endDate: LocalDate + ): List = + withContext(Dispatchers.IO) { + val client = + healthConnectClient + ?: run { + if (isAvailable() == + HealthConnectAvailability.AVAILABLE + ) + healthConnectClient + else null + } + ?: return@withContext emptyList() + + val actualStartDate = if (startDate.isAfter(endDate)) endDate else startDate + val actualEndDate = + if (endDate.isBefore(actualStartDate)) actualStartDate else endDate + + Log.d( + TAG, + "Reading exercise sessions from $actualStartDate to $actualEndDate" + ) + + val preferredSource = + if (isSourceFilterEnabled()) getPreferredSource() else null + val exercises = mutableListOf() + + try { + val timeRange = + TimeRangeFilter.between( + actualStartDate + .atStartOfDay(ZoneId.systemDefault()) + .toInstant(), + actualEndDate + .plusDays(1) + .atStartOfDay(ZoneId.systemDefault()) + .toInstant() + ) + + val allRecords = + readAllRecordsPaginated( + client, + timeRange + ) + .filter { record -> + val validTime = + record.startTime.isBefore( + record.endTime + ) + val matchesSource = + preferredSource == null || + record.metadata + .dataOrigin + .packageName == + preferredSource + validTime && matchesSource + } + + for (record in allRecords) { + val durationMinutes = + ChronoUnit.MINUTES + .between(record.startTime, record.endTime) + .toInt() + exercises.add( + ExerciseData( + startTime = record.startTime.toString(), + endTime = record.endTime.toString(), + exerciseType = record.exerciseType, + exerciseTypeName = + mapExerciseType( + record.exerciseType + ), + durationMinutes = durationMinutes, + title = record.title + ?: mapExerciseType( + record.exerciseType + ), + notes = record.notes, + dataSource = + record.metadata + .dataOrigin + .packageName + ) + ) + } + } catch (e: Exception) { + Log.e(TAG, "Error reading exercise sessions", e) + } + + Log.d(TAG, "Total exercise sessions found: ${exercises.size}") + exercises + } + + // ==================== PRIVATE HELPER METHODS ==================== + + /** + * Generic helper to read ALL records with pagination support. Health Connect returns max + * 1000 records per request by default. + */ + private suspend inline fun readAllRecordsPaginated( + client: HealthConnectClient, + timeRange: TimeRangeFilter + ): List { + val allRecords = mutableListOf() + var pageToken: String? = null + var pageCount = 0 + + do { + pageCount++ + val request = + if (pageToken != null) { + ReadRecordsRequest( + recordType = T::class, + timeRangeFilter = timeRange, + pageToken = pageToken + ) + } else { + ReadRecordsRequest( + recordType = T::class, + timeRangeFilter = timeRange + ) + } + + val response = client.readRecords(request) + allRecords.addAll(response.records) + pageToken = response.pageToken + + if (response.records.isNotEmpty()) { + Log.d( + TAG, + " Page $pageCount: ${response.records.size} ${T::class.simpleName} records (total: ${allRecords.size}, hasMore: ${pageToken != null})" + ) + } + } while (pageToken != null) + + return allRecords + } + + private fun mapExerciseType(type: Int): String { + return when (type) { + ExerciseSessionRecord.EXERCISE_TYPE_WALKING -> "Walking" + ExerciseSessionRecord.EXERCISE_TYPE_RUNNING -> "Running" + ExerciseSessionRecord.EXERCISE_TYPE_HIKING -> "Hiking" + ExerciseSessionRecord.EXERCISE_TYPE_BIKING -> "Biking" + ExerciseSessionRecord.EXERCISE_TYPE_SWIMMING_POOL -> "Swimming" + ExerciseSessionRecord.EXERCISE_TYPE_STRENGTH_TRAINING -> "Strength Training" + ExerciseSessionRecord.EXERCISE_TYPE_YOGA -> "Yoga" + ExerciseSessionRecord.EXERCISE_TYPE_PILATES -> "Pilates" + else -> "Other" + } + } +} + +// ==================== DATA CLASSES ==================== + +enum class HealthConnectAvailability { + AVAILABLE, + NOT_INSTALLED, + NOT_SUPPORTED +} + +data class DataSourceInfo( + val packageName: String, + val displayName: String, + val isPreferred: Boolean +) + +data class DailyMetrics( + val date: String, + val steps: Long, + val distanceMeters: Double, + val caloriesBurned: Double, + val avgHeartRate: Int?, + val minHeartRate: Int?, + val maxHeartRate: Int?, + val restingHeartRate: Int?, + val sleepDurationMinutes: Int, + val deepSleepMinutes: Int, + val lightSleepMinutes: Int, + val remSleepMinutes: Int, + val awakeMinutes: Int, + val weight: Double?, + val spo2: Double?, + val dataSource: String = "" // Package name of the data source +) + +data class ExerciseData( + val startTime: String, + val endTime: String, + val exerciseType: Int, + val exerciseTypeName: String, + val durationMinutes: Int, + val title: String?, + val notes: String?, + val dataSource: String = "" // Package name of the data source +) + +data class HeartRateData(val avg: Int?, val min: Int?, val max: Int?, val resting: Int?) + +data class SleepData( + val totalMinutes: Int, + val deepMinutes: Int, + val lightMinutes: Int, + val remSleepMinutes: Int, + val awakeMinutes: Int +) diff --git a/android-companion/app/src/main/java/com/habitforge/companion/HealthConnectRawReader.kt b/android-companion/app/src/main/java/com/habitforge/companion/HealthConnectRawReader.kt new file mode 100644 index 0000000..5e10391 --- /dev/null +++ b/android-companion/app/src/main/java/com/habitforge/companion/HealthConnectRawReader.kt @@ -0,0 +1,898 @@ +package com.habitforge.companion + +import android.content.Context +import android.util.Log +import androidx.health.connect.client.HealthConnectClient +import androidx.health.connect.client.records.* +import androidx.health.connect.client.request.ReadRecordsRequest +import androidx.health.connect.client.time.TimeRangeFilter +import java.time.Instant +import java.time.LocalDate +import java.time.ZoneId +import java.time.format.DateTimeFormatter +import kotlinx.coroutines.Dispatchers +import kotlinx.coroutines.withContext + +/** + * Health Connect Raw Data Reader + * + * Reads individual health records from Health Connect without aggregation. Each record includes its + * full metadata (record ID, timestamps, source). + */ +class HealthConnectRawReader(private val context: Context) { + + private var healthConnectClient: HealthConnectClient? = null + + companion object { + private const val TAG = "HCRawReader" + + // Sleep stage type names + val SLEEP_STAGE_NAMES = + mapOf( + SleepSessionRecord.STAGE_TYPE_UNKNOWN to "unknown", + SleepSessionRecord.STAGE_TYPE_AWAKE to "awake", + SleepSessionRecord.STAGE_TYPE_SLEEPING to "sleeping", + SleepSessionRecord.STAGE_TYPE_OUT_OF_BED to "out_of_bed", + SleepSessionRecord.STAGE_TYPE_LIGHT to "light", + SleepSessionRecord.STAGE_TYPE_DEEP to "deep", + SleepSessionRecord.STAGE_TYPE_REM to "rem", + SleepSessionRecord.STAGE_TYPE_AWAKE_IN_BED to "awake_in_bed" + ) + + // Known data sources with friendly names + val KNOWN_SOURCES = + mapOf( + "com.huami.watch.hmwatchmanager" to "Zepp", + "com.google.android.apps.fitness" to "Google Fit", + "com.sec.android.app.shealth" to "Samsung Health", + "com.xiaomi.wearable" to "Mi Fitness", + "com.oneplus.health" to "OnePlus Health" + ) + } + + init { + if (HealthConnectClient.getSdkStatus(context) == HealthConnectClient.SDK_AVAILABLE + ) { + healthConnectClient = HealthConnectClient.getOrCreate(context) + } + } + + private fun getSourceDisplayName(packageName: String): String { + return KNOWN_SOURCES[packageName] + ?: packageName.substringAfterLast(".").replaceFirstChar { it.uppercase() } + } + + private fun Instant.toIsoString(): String { + return DateTimeFormatter.ISO_INSTANT.format(this) + } + + // ==================== STEPS ==================== + + suspend fun readRawStepsRecords( + startDate: LocalDate, + endDate: LocalDate + ): List = + withContext(Dispatchers.IO) { + val client = healthConnectClient ?: return@withContext emptyList() + val records = mutableListOf() + + try { + val allRecords = + readRangeRecords(client, startDate, endDate) + + for (record in allRecords) { + // Skip invalid records + if (!record.startTime.isBefore(record.endTime)) continue + + records.add( + RawStepsRecord( + recordId = record.metadata.id, + dataSource = + record.metadata + .dataOrigin + .packageName, + dataSourceName = + getSourceDisplayName( + record.metadata + .dataOrigin + .packageName + ), + startTime = record.startTime.toIsoString(), + endTime = record.endTime.toIsoString(), + count = record.count + ) + ) + } + + Log.d(TAG, "Read ${records.size} raw step records") + } catch (e: Exception) { + Log.e(TAG, "Error reading raw steps", e) + } + + records + } + + // ==================== HEART RATE ==================== + + suspend fun readRawHeartRateRecords( + startDate: LocalDate, + endDate: LocalDate + ): List = + withContext(Dispatchers.IO) { + val client = healthConnectClient ?: return@withContext emptyList() + val records = mutableListOf() + + try { + val allRecords = + readRangeRecords( + client, + startDate, + endDate + ) + + for (record in allRecords) { + if (!record.startTime.isBefore(record.endTime)) continue + + val samples = + record.samples.map { sample -> + HeartRateSample( + time = sample.time.toIsoString(), + bpm = sample.beatsPerMinute + ) + } + + records.add( + RawHeartRateRecord( + recordId = record.metadata.id, + dataSource = + record.metadata + .dataOrigin + .packageName, + dataSourceName = + getSourceDisplayName( + record.metadata + .dataOrigin + .packageName + ), + startTime = record.startTime.toIsoString(), + endTime = record.endTime.toIsoString(), + samples = samples + ) + ) + } + + Log.d( + TAG, + "Read ${records.size} raw heart rate records with ${records.sumOf { it.samples.size }} samples" + ) + } catch (e: Exception) { + Log.e(TAG, "Error reading raw heart rate", e) + } + + records + } + + // ==================== RESTING HEART RATE ==================== + + suspend fun readRawRestingHeartRateRecords( + startDate: LocalDate, + endDate: LocalDate + ): List = + withContext(Dispatchers.IO) { + val client = healthConnectClient ?: return@withContext emptyList() + val records = mutableListOf() + + try { + val allRecords = + readRangeRecords( + client, + startDate, + endDate + ) + + for (record in allRecords) { + records.add( + RawRestingHeartRateRecord( + recordId = record.metadata.id, + dataSource = + record.metadata + .dataOrigin + .packageName, + dataSourceName = + getSourceDisplayName( + record.metadata + .dataOrigin + .packageName + ), + time = record.time.toIsoString(), + bpm = record.beatsPerMinute + ) + ) + } + + Log.d(TAG, "Read ${records.size} raw resting HR records") + } catch (e: Exception) { + Log.e(TAG, "Error reading raw resting HR", e) + } + + records + } + + // ==================== SLEEP ==================== + + suspend fun readRawSleepSessions( + startDate: LocalDate, + endDate: LocalDate + ): List = + withContext(Dispatchers.IO) { + val client = healthConnectClient ?: return@withContext emptyList() + val records = mutableListOf() + + try { + val allRecords = + readRangeRecords( + client, + startDate, + endDate + ) + + for (record in allRecords) { + if (!record.startTime.isBefore(record.endTime)) continue + + val stages = + record.stages.mapNotNull { stage -> + if (stage.startTime.isBefore(stage.endTime) + ) { + SleepStageData( + startTime = + stage.startTime + .toIsoString(), + endTime = + stage.endTime + .toIsoString(), + stageType = stage.stage, + stageName = + SLEEP_STAGE_NAMES[ + stage.stage] + ?: "unknown" + ) + } else null + } + + records.add( + RawSleepSession( + recordId = record.metadata.id, + dataSource = + record.metadata + .dataOrigin + .packageName, + dataSourceName = + getSourceDisplayName( + record.metadata + .dataOrigin + .packageName + ), + startTime = record.startTime.toIsoString(), + endTime = record.endTime.toIsoString(), + title = record.title, + notes = record.notes, + stages = stages + ) + ) + } + + Log.d(TAG, "Read ${records.size} raw sleep sessions") + } catch (e: Exception) { + Log.e(TAG, "Error reading raw sleep", e) + } + + records + } + + // ==================== DISTANCE ==================== + + suspend fun readRawDistanceRecords( + startDate: LocalDate, + endDate: LocalDate + ): List = + withContext(Dispatchers.IO) { + val client = healthConnectClient ?: return@withContext emptyList() + val records = mutableListOf() + + try { + val allRecords = + readRangeRecords(client, startDate, endDate) + + for (record in allRecords) { + if (!record.startTime.isBefore(record.endTime)) continue + + records.add( + RawDistanceRecord( + recordId = record.metadata.id, + dataSource = + record.metadata + .dataOrigin + .packageName, + dataSourceName = + getSourceDisplayName( + record.metadata + .dataOrigin + .packageName + ), + startTime = record.startTime.toIsoString(), + endTime = record.endTime.toIsoString(), + distanceMeters = record.distance.inMeters + ) + ) + } + + Log.d(TAG, "Read ${records.size} raw distance records") + } catch (e: Exception) { + Log.e(TAG, "Error reading raw distance", e) + } + + records + } + + // ==================== CALORIES ==================== + + suspend fun readRawCaloriesRecords( + startDate: LocalDate, + endDate: LocalDate + ): List = + withContext(Dispatchers.IO) { + val client = healthConnectClient ?: return@withContext emptyList() + val records = mutableListOf() + + try { + + // Active calories + val activeRecords = + readRangeRecords( + client, + startDate, + endDate + ) + for (record in activeRecords) { + if (!record.startTime.isBefore(record.endTime)) continue + + records.add( + RawCaloriesRecord( + recordId = record.metadata.id, + dataSource = + record.metadata + .dataOrigin + .packageName, + dataSourceName = + getSourceDisplayName( + record.metadata + .dataOrigin + .packageName + ), + startTime = record.startTime.toIsoString(), + endTime = record.endTime.toIsoString(), + calories = record.energy.inKilocalories, + recordType = "active" + ) + ) + } + + // Total calories + val totalRecords = + readRangeRecords( + client, + startDate, + endDate + ) + for (record in totalRecords) { + if (!record.startTime.isBefore(record.endTime)) continue + + records.add( + RawCaloriesRecord( + recordId = record.metadata.id, + dataSource = + record.metadata + .dataOrigin + .packageName, + dataSourceName = + getSourceDisplayName( + record.metadata + .dataOrigin + .packageName + ), + startTime = record.startTime.toIsoString(), + endTime = record.endTime.toIsoString(), + calories = record.energy.inKilocalories, + recordType = "total" + ) + ) + } + + Log.d(TAG, "Read ${records.size} raw calories records") + } catch (e: Exception) { + Log.e(TAG, "Error reading raw calories", e) + } + + records + } + + // ==================== OXYGEN SATURATION ==================== + + suspend fun readRawOxygenSaturationRecords( + startDate: LocalDate, + endDate: LocalDate + ): List = + withContext(Dispatchers.IO) { + val client = healthConnectClient ?: return@withContext emptyList() + val records = mutableListOf() + + try { + val allRecords = + readRangeRecords( + client, + startDate, + endDate + ) + + for (record in allRecords) { + records.add( + RawOxygenSaturationRecord( + recordId = record.metadata.id, + dataSource = + record.metadata + .dataOrigin + .packageName, + dataSourceName = + getSourceDisplayName( + record.metadata + .dataOrigin + .packageName + ), + time = record.time.toIsoString(), + percentage = record.percentage.value + ) + ) + } + + Log.d(TAG, "Read ${records.size} raw SpO2 records") + } catch (e: Exception) { + Log.e(TAG, "Error reading raw SpO2", e) + } + + records + } + + // ==================== WEIGHT ==================== + + suspend fun readRawWeightRecords( + startDate: LocalDate, + endDate: LocalDate + ): List = + withContext(Dispatchers.IO) { + val client = healthConnectClient ?: return@withContext emptyList() + val records = mutableListOf() + + try { + val allRecords = + readRangeRecords(client, startDate, endDate) + + for (record in allRecords) { + records.add( + RawWeightRecord( + recordId = record.metadata.id, + dataSource = + record.metadata + .dataOrigin + .packageName, + dataSourceName = + getSourceDisplayName( + record.metadata + .dataOrigin + .packageName + ), + time = record.time.toIsoString(), + weightKg = record.weight.inKilograms + ) + ) + } + + Log.d(TAG, "Read ${records.size} raw weight records") + } catch (e: Exception) { + Log.e(TAG, "Error reading raw weight", e) + } + + records + } + + // ==================== HEIGHT ==================== + + suspend fun readRawHeightRecords( + startDate: LocalDate, + endDate: LocalDate + ): List = + withContext(Dispatchers.IO) { + val client = healthConnectClient ?: return@withContext emptyList() + val records = mutableListOf() + + try { + val allRecords = + readRangeRecords(client, startDate, endDate) + + for (record in allRecords) { + records.add( + RawHeightRecord( + recordId = record.metadata.id, + dataSource = + record.metadata + .dataOrigin + .packageName, + dataSourceName = + getSourceDisplayName( + record.metadata + .dataOrigin + .packageName + ), + time = record.time.toIsoString(), + heightMeters = record.height.inMeters + ) + ) + } + + Log.d(TAG, "Read ${records.size} raw height records") + } catch (e: Exception) { + Log.e(TAG, "Error reading raw height", e) + } + + records + } + + // ==================== BODY FAT ==================== + + suspend fun readRawBodyFatRecords( + startDate: LocalDate, + endDate: LocalDate + ): List = + withContext(Dispatchers.IO) { + val client = healthConnectClient ?: return@withContext emptyList() + val records = mutableListOf() + + try { + val allRecords = + readRangeRecords(client, startDate, endDate) + + for (record in allRecords) { + records.add( + RawBodyFatRecord( + recordId = record.metadata.id, + dataSource = + record.metadata + .dataOrigin + .packageName, + dataSourceName = + getSourceDisplayName( + record.metadata + .dataOrigin + .packageName + ), + time = record.time.toIsoString(), + percentage = record.percentage.value + ) + ) + } + + Log.d(TAG, "Read ${records.size} raw body fat records") + } catch (e: Exception) { + Log.e(TAG, "Error reading raw body fat", e) + } + + records + } + + // ==================== EXERCISE ==================== + + suspend fun readRawExerciseSessions( + startDate: LocalDate, + endDate: LocalDate + ): List = + withContext(Dispatchers.IO) { + val client = healthConnectClient ?: return@withContext emptyList() + val records = mutableListOf() + + try { + val allRecords = + readRangeRecords( + client, + startDate, + endDate + ) + + for (record in allRecords) { + if (!record.startTime.isBefore(record.endTime)) continue + + records.add( + RawExerciseSession( + recordId = record.metadata.id, + dataSource = + record.metadata + .dataOrigin + .packageName, + dataSourceName = + getSourceDisplayName( + record.metadata + .dataOrigin + .packageName + ), + startTime = record.startTime.toIsoString(), + endTime = record.endTime.toIsoString(), + exerciseType = record.exerciseType, + exerciseTypeName = + mapExerciseType( + record.exerciseType + ), + title = record.title, + notes = record.notes, + distanceMeters = + null, // Would need additional + // segment queries + calories = null, + avgHeartRate = null, + maxHeartRate = null, + minHeartRate = null, + steps = null, + elevationGainedMeters = null + ) + ) + } + + Log.d(TAG, "Read ${records.size} raw exercise sessions") + } catch (e: Exception) { + Log.e(TAG, "Error reading raw exercise", e) + } + + records + } + + // ==================== NUTRITION ==================== + + suspend fun readRawNutritionRecords( + startDate: LocalDate, + endDate: LocalDate + ): List = + withContext(Dispatchers.IO) { + val client = healthConnectClient ?: return@withContext emptyList() + val records = mutableListOf() + + try { + val allRecords = + readRangeRecords( + client, + startDate, + endDate + ) + + for (record in allRecords) { + if (!record.startTime.isBefore(record.endTime)) continue + + records.add( + RawNutritionRecord( + recordId = record.metadata.id, + dataSource = + record.metadata + .dataOrigin + .packageName, + dataSourceName = + getSourceDisplayName( + record.metadata + .dataOrigin + .packageName + ), + startTime = record.startTime.toIsoString(), + endTime = record.endTime.toIsoString(), + name = record.name, + mealType = record.mealType, + calories = record.energy?.inKilocalories, + proteinGrams = record.protein?.inGrams, + carbohydratesGrams = + record.totalCarbohydrate?.inGrams, + fatGrams = record.totalFat?.inGrams, + fiberGrams = record.dietaryFiber?.inGrams, + sugarGrams = record.sugar?.inGrams + ) + ) + } + + Log.d(TAG, "Read ${records.size} raw nutrition records") + } catch (e: Exception) { + Log.e(TAG, "Error reading raw nutrition", e) + } + + records + } + + // ==================== HYDRATION ==================== + + suspend fun readRawHydrationRecords( + startDate: LocalDate, + endDate: LocalDate + ): List = + withContext(Dispatchers.IO) { + val client = healthConnectClient ?: return@withContext emptyList() + val records = mutableListOf() + + try { + val allRecords = + readRangeRecords( + client, + startDate, + endDate + ) + + for (record in allRecords) { + if (!record.startTime.isBefore(record.endTime)) continue + + records.add( + RawHydrationRecord( + recordId = record.metadata.id, + dataSource = + record.metadata + .dataOrigin + .packageName, + dataSourceName = + getSourceDisplayName( + record.metadata + .dataOrigin + .packageName + ), + startTime = record.startTime.toIsoString(), + endTime = record.endTime.toIsoString(), + volumeLiters = record.volume.inLiters + ) + ) + } + + Log.d(TAG, "Read ${records.size} raw hydration records") + } catch (e: Exception) { + Log.e(TAG, "Error reading raw hydration", e) + } + + records + } + + // ==================== HELPER METHODS ==================== + + /** + * OPTIMIZED: Reads records for the entire date range in a single query. Falls back to + * day-by-day reading if the range query fails (e.g., corrupt records). + * + * Performance gain: ~99% fewer Health Connect queries (1 query instead of N days) + */ + private suspend inline fun readRangeRecords( + client: HealthConnectClient, + startDate: LocalDate, + endDate: LocalDate + ): List { + val typeName = T::class.simpleName ?: "Unknown" + + return try { + // Try reading the entire range in one query (optimal) + val instantStart = + startDate.atStartOfDay(ZoneId.systemDefault()).toInstant() + val instantEnd = + endDate.plusDays(1).atStartOfDay(ZoneId.systemDefault()).toInstant() + val timeRange = TimeRangeFilter.between(instantStart, instantEnd) + + val records = readAllPaginated(client, timeRange) + Log.d( + TAG, + "[$typeName] Range read success: ${records.size} records from $startDate to $endDate" + ) + records + } catch (e: Exception) { + // Fallback to day-by-day reading to isolate problematic records + Log.w( + TAG, + "[$typeName] Range read failed, falling back to daily: ${e.message}" + ) + readDailyRecords(client, startDate, endDate) + } + } + + /** + * Reads records day-by-day to isolate failures (e.g. corrupt records) to a single day + * instead of failing the entire range. Used as fallback when range reading fails. + */ + private suspend inline fun readDailyRecords( + client: HealthConnectClient, + startDate: LocalDate, + endDate: LocalDate + ): List { + val allRecords = mutableListOf() + var current = startDate + val typeName = T::class.simpleName ?: "Unknown" + + // Ensure we don't loop forever + val safetyLimit = 366 * 2 // Max 2 years + var loopCount = 0 + var failedDays = 0 + + while (!current.isAfter(endDate) && loopCount < safetyLimit) { + try { + val instantStart = + current.atStartOfDay(ZoneId.systemDefault()).toInstant() + val instantEnd = + current.plusDays(1) + .atStartOfDay(ZoneId.systemDefault()) + .toInstant() + + val timeRange = TimeRangeFilter.between(instantStart, instantEnd) + val dayRecords = readAllPaginated(client, timeRange) + allRecords.addAll(dayRecords) + } catch (e: Exception) { + Log.e(TAG, "[$typeName] Failed to read for $current: ${e.message}") + failedDays++ + // Continue to next day + } + current = current.plusDays(1) + loopCount++ + } + + if (failedDays > 0) { + Log.w( + TAG, + "[$typeName] Daily read completed with $failedDays failed days, ${allRecords.size} records recovered" + ) + } else { + Log.d(TAG, "[$typeName] Daily read success: ${allRecords.size} records") + } + + return allRecords + } + + private suspend inline fun readAllPaginated( + client: HealthConnectClient, + timeRange: TimeRangeFilter + ): List { + val allRecords = mutableListOf() + var pageToken: String? = null + + do { + val request = + if (pageToken != null) { + ReadRecordsRequest( + recordType = T::class, + timeRangeFilter = timeRange, + pageToken = pageToken + ) + } else { + ReadRecordsRequest( + recordType = T::class, + timeRangeFilter = timeRange + ) + } + + val response = client.readRecords(request) + allRecords.addAll(response.records) + pageToken = response.pageToken + } while (pageToken != null) + + return allRecords + } + + private fun mapExerciseType(type: Int): String { + return when (type) { + ExerciseSessionRecord.EXERCISE_TYPE_WALKING -> "Walking" + ExerciseSessionRecord.EXERCISE_TYPE_RUNNING -> "Running" + ExerciseSessionRecord.EXERCISE_TYPE_HIKING -> "Hiking" + ExerciseSessionRecord.EXERCISE_TYPE_BIKING -> "Biking" + ExerciseSessionRecord.EXERCISE_TYPE_SWIMMING_POOL -> "Swimming" + ExerciseSessionRecord.EXERCISE_TYPE_STRENGTH_TRAINING -> "Strength Training" + ExerciseSessionRecord.EXERCISE_TYPE_YOGA -> "Yoga" + ExerciseSessionRecord.EXERCISE_TYPE_PILATES -> "Pilates" + ExerciseSessionRecord.EXERCISE_TYPE_DANCING -> "Dancing" + ExerciseSessionRecord.EXERCISE_TYPE_ELLIPTICAL -> "Elliptical" + ExerciseSessionRecord.EXERCISE_TYPE_STAIR_CLIMBING -> "Stair Climbing" + ExerciseSessionRecord.EXERCISE_TYPE_ROWING_MACHINE -> "Rowing" + else -> "Exercise" + } + } +} diff --git a/android-companion/app/src/main/java/com/habitforge/companion/MainActivity.kt b/android-companion/app/src/main/java/com/habitforge/companion/MainActivity.kt new file mode 100644 index 0000000..2d33bff --- /dev/null +++ b/android-companion/app/src/main/java/com/habitforge/companion/MainActivity.kt @@ -0,0 +1,1425 @@ +package com.habitforge.companion + +import android.content.Intent +import android.net.Uri +import android.os.Bundle +import android.util.Log +import android.view.LayoutInflater +import android.view.View +import android.widget.AdapterView +import android.widget.ArrayAdapter +import android.widget.Button +import android.widget.ImageView +import android.widget.LinearLayout +import android.widget.TextView +import android.widget.Toast +import androidx.appcompat.app.AlertDialog +import androidx.appcompat.app.AppCompatActivity +import androidx.core.content.ContextCompat +import androidx.health.connect.client.PermissionController +import androidx.lifecycle.lifecycleScope +import com.habitforge.companion.databinding.ActivityMainBinding +import java.text.SimpleDateFormat +import java.util.* +import kotlinx.coroutines.launch + +/** Main Activity - Handles UI, permission requests, sync triggers, and status monitoring */ +class MainActivity : AppCompatActivity() { + + private lateinit var binding: ActivityMainBinding + private lateinit var healthConnectManager: HealthConnectManager + private lateinit var syncHistoryManager: SyncHistoryManager + private lateinit var serverConnectionManager: ServerConnectionManager + private lateinit var dataValidator: DataCompatibilityValidator + private lateinit var authManager: AuthManager + private lateinit var metricsSyncTracker: MetricsSyncTracker + private lateinit var metricsCountTracker: MetricsCountTracker + + // Permission request launcher + private val permissionLauncher = + registerForActivityResult( + PermissionController.createRequestPermissionResultContract() + ) { granted -> + Log.i(TAG, "Permissions granted: $granted") + lifecycleScope.launch { updateUI() } + } + + companion object { + private const val TAG = "MainActivity" + } + + override fun onCreate(savedInstanceState: Bundle?) { + super.onCreate(savedInstanceState) + binding = ActivityMainBinding.inflate(layoutInflater) + setContentView(binding.root) + + healthConnectManager = HabitForgeApp.instance.healthConnectManager + syncHistoryManager = SyncHistoryManager(this) + serverConnectionManager = ServerConnectionManager(this) + dataValidator = DataCompatibilityValidator(this, healthConnectManager) + authManager = AuthManager(this) + metricsSyncTracker = MetricsSyncTracker(this) + metricsCountTracker = MetricsCountTracker(this) + + setupUI() + setupSyncPeriodSpinner() + checkHealthConnectAvailability() + } + + override fun onResume() { + super.onResume() + lifecycleScope.launch { + updateUI() + checkServerAvailability() + updateSyncHistory() + updateMetricsOverview() + updateMetricsCounts() + } + } + + private fun setupUI() { + // Request Permissions Button + binding.btnRequestPermissions.setOnClickListener { requestHealthConnectPermissions() } + + // Sync Now Button + binding.btnSyncNow.setOnClickListener { performSync() } + + // Sync Config Button + binding.btnSyncConfig.setOnClickListener { + startActivity(android.content.Intent(this, SyncConfigActivity::class.java)) + } + + // Configure Server Button + binding.btnConfigureServer.setOnClickListener { showServerConfigDialog() } + + // Test Connection Button + binding.btnTestConnection.setOnClickListener { testServerConnection() } + + // Open Health Connect Button + binding.btnOpenHealthConnect.setOnClickListener { openHealthConnect() } + + // Validate Data Button + binding.btnValidateData.setOnClickListener { validateDataCompatibility() } + + // View All History Button + binding.btnViewAllHistory.setOnClickListener { showFullSyncHistory() } + + // Refresh Metrics Button + binding.btnRefreshMetrics.setOnClickListener { refreshMetricsOverview() } + + // View Raw Data Button + binding.btnViewRawData.setOnClickListener { + startActivity(android.content.Intent(this, RawDataViewerActivity::class.java)) + } + + // Refresh History Button + binding.btnRefreshHistory.setOnClickListener { + updateSyncHistory() + Toast.makeText(this, "History updated", Toast.LENGTH_SHORT).show() + } + + // Initialize metrics display + updateMetricsOverview() + } + + private fun setupSyncPeriodSpinner() { + // Sync period options for raw data sync + val options = + listOf( + SyncPeriodOption("Disabled", -1), + SyncPeriodOption("Every 2 minutes", 2), + SyncPeriodOption("Every 3 minutes", 3), + SyncPeriodOption("Every 4 minutes", 4), + SyncPeriodOption("Every 5 minutes", 5), + SyncPeriodOption("Every 10 minutes", 10), + SyncPeriodOption("Every 15 minutes", 15), + SyncPeriodOption("Every 30 minutes", 30), + SyncPeriodOption("Every hour", 60), + SyncPeriodOption("Every 2 hours", 120), + SyncPeriodOption("Every 6 hours", 360), + SyncPeriodOption("Every 12 hours", 720), + SyncPeriodOption("Once a day", 1440) + ) + val adapter = + ArrayAdapter(this, android.R.layout.simple_spinner_item, options.map { it.label }) + adapter.setDropDownViewResource(android.R.layout.simple_spinner_dropdown_item) + binding.spinnerSyncPeriod.adapter = adapter + + // Set current selection (default: every 6 hours for raw data) + val prefs = getSharedPreferences("habitforge", MODE_PRIVATE) + val currentPeriod = prefs.getInt("sync_period_minutes", 360) + val currentIndex = options.indexOfFirst { it.minutes == currentPeriod } + if (currentIndex >= 0) { + binding.spinnerSyncPeriod.setSelection(currentIndex) + } + + // Handle selection changes + binding.spinnerSyncPeriod.onItemSelectedListener = + object : AdapterView.OnItemSelectedListener { + override fun onItemSelected( + parent: AdapterView<*>?, + view: View?, + position: Int, + id: Long + ) { + val selectedPeriod = options[position].minutes + val savedPeriod = prefs.getInt("sync_period_minutes", 360) + + // Always save preference, but only trigger scheduler if changed or explicit + if (selectedPeriod != savedPeriod) { + prefs.edit().putInt("sync_period_minutes", selectedPeriod).apply() + + if (selectedPeriod > 0) { + // Note: Android WorkManager has a minimum interval of 15 minutes + RawDataSyncService.schedulePeriodicSync( + this@MainActivity, + selectedPeriod + ) + + val message = + if (selectedPeriod < 15) { + "Sync requested every $selectedPeriod min (OS may limit to 15 min)" + } else { + "Sync period updated to ${options[position].label}" + } + + Toast.makeText(this@MainActivity, message, Toast.LENGTH_LONG).show() + } else { + RawDataSyncService.cancelSync(this@MainActivity) + Toast.makeText( + this@MainActivity, + "Periodic sync disabled", + Toast.LENGTH_SHORT + ) + .show() + } + } + } + + override fun onNothingSelected(parent: AdapterView<*>?) {} + } + } + + data class SyncPeriodOption(val label: String, val minutes: Int) + + private fun checkHealthConnectAvailability() { + when (healthConnectManager.isAvailable()) { + HealthConnectAvailability.AVAILABLE -> { + binding.statusHealthConnect.text = "✓ Health Connect Available" + binding.statusHealthConnect.setTextColor( + ContextCompat.getColor(this, R.color.green) + ) + binding.layoutAvailable.visibility = View.VISIBLE + binding.layoutUnavailable.visibility = View.GONE + + lifecycleScope.launch { updateUI() } + } + HealthConnectAvailability.NOT_INSTALLED -> { + binding.statusHealthConnect.text = "✗ Health Connect Not Installed" + binding.statusHealthConnect.setTextColor( + ContextCompat.getColor(this, R.color.orange) + ) + binding.layoutAvailable.visibility = View.GONE + binding.layoutUnavailable.visibility = View.VISIBLE + binding.btnInstallHealthConnect.setOnClickListener { installHealthConnect() } + } + HealthConnectAvailability.NOT_SUPPORTED -> { + binding.statusHealthConnect.text = "✗ Health Connect Not Supported" + binding.statusHealthConnect.setTextColor(ContextCompat.getColor(this, R.color.red)) + binding.layoutAvailable.visibility = View.GONE + binding.layoutUnavailable.visibility = View.VISIBLE + binding.btnInstallHealthConnect.visibility = View.GONE + binding.tvUnavailableMessage.text = + "Your device does not support Health Connect. Android 9+ is required." + } + } + } + + private suspend fun updateUI() { + // Check permissions status + val hasPermissions = healthConnectManager.hasAllPermissions() + val grantedCount = healthConnectManager.getGrantedPermissions().size + val totalCount = HealthConnectManager.PERMISSIONS.size + + if (hasPermissions) { + binding.statusPermissions.text = "✓ All Permissions Granted ($grantedCount/$totalCount)" + binding.statusPermissions.setTextColor(ContextCompat.getColor(this, R.color.green)) + binding.btnRequestPermissions.text = "Manage Permissions" + binding.btnSyncNow.isEnabled = true + } else { + binding.statusPermissions.text = "⚠ Permissions Required ($grantedCount/$totalCount)" + binding.statusPermissions.setTextColor(ContextCompat.getColor(this, R.color.orange)) + binding.btnRequestPermissions.text = "Grant Permissions" + binding.btnSyncNow.isEnabled = false + } + + // Check authentication status + if (authManager.isLoggedIn()) { + val username = authManager.getUsername() + binding.statusServer.text = "✓ Logged in as $username" + binding.statusServer.setTextColor(ContextCompat.getColor(this, R.color.green)) + binding.tvServerUrl.text = authManager.getServerUrl() + binding.btnConfigureServer.text = "Logout" + } else { + binding.statusServer.text = "⚠ Not logged in" + binding.statusServer.setTextColor(ContextCompat.getColor(this, R.color.orange)) + binding.tvServerUrl.text = "Tap Login to connect your account" + binding.btnConfigureServer.text = "Login" + } + + // Last sync time + val prefs = getSharedPreferences("habitforge", MODE_PRIVATE) + val lastSync = prefs.getLong("last_sync", 0) + if (lastSync > 0) { + val dateFormat = SimpleDateFormat("MMM dd, yyyy HH:mm", Locale.getDefault()) + binding.tvLastSync.text = "Last sync: ${dateFormat.format(Date(lastSync))}" + } else { + binding.tvLastSync.text = "Never synced" + } + } + + private suspend fun checkServerAvailability() { + binding.tvServerAvailability.text = "Checking..." + binding.serverStatusDot.setBackgroundResource(R.drawable.status_dot_gray) + + val result = serverConnectionManager.testConnection() + + when (result.status) { + ServerStatus.ONLINE -> { + if (result.authenticated) { + binding.serverStatusDot.setBackgroundResource(R.drawable.status_dot_green) + binding.tvServerAvailability.text = "Online" + binding.tvServerResponseTime.text = "Response: ${result.responseTimeMs}ms" + binding.tvServerResponseTime.visibility = View.VISIBLE + } else { + binding.serverStatusDot.setBackgroundResource(R.drawable.status_dot_orange) + binding.tvServerAvailability.text = "Auth needed" + binding.tvServerResponseTime.visibility = View.GONE + } + } + ServerStatus.UNREACHABLE, ServerStatus.OFFLINE -> { + binding.serverStatusDot.setBackgroundResource(R.drawable.status_dot_red) + binding.tvServerAvailability.text = "Offline" + binding.tvServerResponseTime.visibility = View.GONE + } + ServerStatus.TIMEOUT -> { + binding.serverStatusDot.setBackgroundResource(R.drawable.status_dot_orange) + binding.tvServerAvailability.text = "Timeout" + binding.tvServerResponseTime.visibility = View.GONE + } + ServerStatus.AUTH_ERROR -> { + binding.serverStatusDot.setBackgroundResource(R.drawable.status_dot_orange) + binding.tvServerAvailability.text = "Auth error" + binding.tvServerResponseTime.visibility = View.GONE + } + ServerStatus.SERVER_ERROR -> { + binding.serverStatusDot.setBackgroundResource(R.drawable.status_dot_red) + binding.tvServerAvailability.text = "Error" + binding.tvServerResponseTime.visibility = View.GONE + } + else -> { + binding.serverStatusDot.setBackgroundResource(R.drawable.status_dot_gray) + binding.tvServerAvailability.text = "Unknown" + binding.tvServerResponseTime.visibility = View.GONE + } + } + } + + private fun updateSyncHistory() { + val stats = syncHistoryManager.getStats() + val recentSyncs = syncHistoryManager.getRecentHistory(5) + + // Update stats + binding.tvSuccessCount.text = stats.successfulSyncs.toString() + binding.tvFailedCount.text = stats.failedSyncs.toString() + binding.tvMetricsSynced.text = stats.totalMetricsSynced.toString() + + if (stats.totalSyncs > 0) { + binding.tvSyncStats.text = "${String.format("%.0f", stats.getSuccessRate())}% success" + } else { + binding.tvSyncStats.text = "" + } + + // Update recent syncs list + binding.layoutRecentSyncs.removeAllViews() + + if (recentSyncs.isEmpty()) { + binding.tvNoSyncHistory.visibility = View.VISIBLE + binding.btnViewAllHistory.visibility = View.GONE + } else { + binding.tvNoSyncHistory.visibility = View.GONE + binding.btnViewAllHistory.visibility = + if (syncHistoryManager.getHistory().size > 5) View.VISIBLE else View.GONE + + for (sync in recentSyncs) { + val itemView = createSyncHistoryItem(sync) + binding.layoutRecentSyncs.addView(itemView) + } + } + } + + private fun createSyncHistoryItem(sync: SyncRecord): View { + val itemView = LayoutInflater.from(this).inflate(android.R.layout.simple_list_item_2, null) + + val text1 = itemView.findViewById(android.R.id.text1) + val text2 = itemView.findViewById(android.R.id.text2) + + text1.text = "${sync.getStatusIcon()} ${sync.getFormattedTimestamp()}" + text1.setTextColor(ContextCompat.getColor(this, sync.getStatusColor())) + text1.textSize = 13f + + val syncType = sync.getSyncTypeOrDefault() + val typeStr = if (syncType == SyncType.MANUAL) "Manual" else "Scheduled" + val details = + if (sync.status == SyncStatus.SUCCESS) { + "$typeStr ‱ ${sync.metricsSynced} metrics ‱ Tap for details" + } else { + "$typeStr ‱ ${sync.errorMessage ?: "Unknown error"}" + } + text2.text = details + text2.textSize = 11f + text2.setTextColor(ContextCompat.getColor(this, android.R.color.darker_gray)) + + val params = + LinearLayout.LayoutParams( + LinearLayout.LayoutParams.MATCH_PARENT, + LinearLayout.LayoutParams.WRAP_CONTENT + ) + params.setMargins(0, 4, 0, 4) + itemView.layoutParams = params + + itemView.setOnClickListener { showSyncDetailsDialog(sync) } + + return itemView + } + + private fun testServerConnection() { + binding.btnTestConnection.isEnabled = false + binding.btnTestConnection.text = "Testing..." + + lifecycleScope.launch { + val result = serverConnectionManager.testConnection() + + binding.btnTestConnection.isEnabled = true + binding.btnTestConnection.text = "Test Connection" + + // Show result dialog + AlertDialog.Builder(this@MainActivity) + .setTitle("Connection Test Result") + .setMessage( + """ + Status: ${result.getStatusIcon()} ${result.status} + + ${result.message} + + ${if (result.responseTimeMs > 0) "Response time: ${result.responseTimeMs}ms" else ""} + ${if (result.authenticated) "✓ Authentication: Valid" else ""} + """ + .trimIndent() + .trim() + ) + .setPositiveButton("OK", null) + .show() + + // Update server status indicator + checkServerAvailability() + } + } + + private fun validateDataCompatibility() { + binding.btnValidateData.isEnabled = false + binding.btnValidateData.text = "Validating..." + + lifecycleScope.launch { + val result = dataValidator.validateCompatibility() + + runOnUiThread { + binding.btnValidateData.isEnabled = true + binding.btnValidateData.text = "Validate Data Schema" + + // Update status + binding.statusDataCompatibility.text = + "${result.getStatusIcon()} ${result.getOverallStatus()}" + if (result.isCompatible) { + binding.statusDataCompatibility.setTextColor( + ContextCompat.getColor(this@MainActivity, R.color.green) + ) + } else { + binding.statusDataCompatibility.setTextColor( + ContextCompat.getColor(this@MainActivity, R.color.red) + ) + } + + // Show validation results + binding.layoutValidationResults.visibility = View.VISIBLE + + val resultsText = StringBuilder() + + // Add validation items + for (item in result.validations) { + val icon = if (item.passed) "✓" else "✗" + resultsText.appendLine("$icon ${item.name}") + resultsText.appendLine(" ${item.message}") + } + + // Add issues if any + if (result.issues.isNotEmpty()) { + resultsText.appendLine("\nIssues:") + for (issue in result.issues) { + val icon = + when (issue.severity) { + IssueSeverity.ERROR -> "❌" + IssueSeverity.WARNING -> "⚠" + IssueSeverity.INFO -> "â„č" + } + resultsText.appendLine("$icon [${issue.category}] ${issue.message}") + } + } + + // Add data preview if available + result.dataPreview?.let { preview -> + resultsText.appendLine("\nData Preview:") + resultsText.appendLine(" Metrics: ${preview.metricsCount} day(s)") + resultsText.appendLine(" Exercises: ${preview.exercisesCount} session(s)") + } + + binding.tvValidationResultsList.text = resultsText.toString() + + // Update details text + binding.tvCompatibilityDetails.text = + if (result.isCompatible) { + "All Health Connect data types can be synced with HabitForge." + } else { + "Some issues were found. Check the validation results below." + } + } + } + } + + private fun showFullSyncHistory() { + val history = syncHistoryManager.getHistory() + + if (history.isEmpty()) { + Toast.makeText(this, "No sync history available", Toast.LENGTH_SHORT).show() + return + } + + val items = + history.take(50) + .map { sync -> + val status = sync.getStatusIcon() + val time = sync.getFormattedTimestamp() + val count = sync.metricsSynced + "$status $time ($count items)" + } + .toTypedArray() + + AlertDialog.Builder(this) + .setTitle("Sync History") + .setItems(items) { _, which -> showSyncDetailsDialog(history[which]) } + .setPositiveButton("Close", null) + .setNeutralButton("Clear History") { _, _ -> + syncHistoryManager.clearHistory() + updateSyncHistory() + Toast.makeText(this, "History cleared", Toast.LENGTH_SHORT).show() + } + .show() + } + + private fun showSyncDetailsDialog(sync: SyncRecord) { + val details = sync.details + val message = StringBuilder() + + val syncType = sync.getSyncTypeOrDefault() + message.append("Type: ${if (syncType == SyncType.MANUAL) "Manual" else "Scheduled"}\n") + message.append("Status: ${sync.status}\n") + message.append("Time: ${sync.getFormattedTimestamp()}\n") + message.append("Duration: ${sync.syncDurationMs}ms\n\n") + + if (sync.errorMessage != null) { + message.append("Error: ${sync.errorMessage}\n\n") + } + + if (details != null && details.isNotEmpty()) { + message.append("Synced Data:\n") + // Sort by count descending + val sortedDetails = details.toList().sortedByDescending { (_, value) -> value }.toMap() + + sortedDetails.forEach { (key, count) -> + val label = + key.replace("_", " ").split(" ").joinToString(" ") { + it.replaceFirstChar { char -> + if (char.isLowerCase()) char.titlecase(Locale.getDefault()) + else char.toString() + } + } + message.append("‱ $label: $count\n") + } + } else if (sync.metricsSynced > 0) { + message.append("Total Metrics: ${sync.metricsSynced}\n") + message.append("Exercises: ${sync.exercisesSynced}\n") + } else { + message.append("No data synced.") + } + + AlertDialog.Builder(this) + .setTitle("Sync Details") + .setMessage(message.toString()) + .setPositiveButton("Close", null) + .show() + } + + private fun requestHealthConnectPermissions() { + permissionLauncher.launch(HealthConnectManager.PERMISSIONS) + } + + private fun performSync() { + if (!authManager.isLoggedIn()) { + Toast.makeText(this, "Please login first", Toast.LENGTH_SHORT).show() + showLoginDialog() + return + } + + binding.btnSyncNow.isEnabled = false + binding.btnSyncNow.text = "Syncing Raw Data..." + binding.progressSync.visibility = View.VISIBLE + + // Use RawDataSyncService for raw (unaggregated) data sync + RawDataSyncService.syncNow(this) + + // Re-enable after delay (actual completion is async) + binding.root.postDelayed( + { + binding.btnSyncNow.isEnabled = true + binding.btnSyncNow.text = "Sync Now" + binding.progressSync.visibility = View.GONE + lifecycleScope.launch { + updateUI() + updateSyncHistory() + } + Toast.makeText(this, "Raw data sync started in background", Toast.LENGTH_SHORT) + .show() + }, + 2000 + ) + } + + private fun showServerConfigDialog() { + // If already logged in, show logout confirmation + if (authManager.isLoggedIn()) { + AlertDialog.Builder(this) + .setTitle("Logout") + .setMessage( + "Are you sure you want to logout from ${authManager.getUsername()}?" + ) + .setPositiveButton("Logout") { _, _ -> + authManager.logout() + lifecycleScope.launch { + updateUI() + checkServerAvailability() + } + Toast.makeText(this, "Logged out successfully", Toast.LENGTH_SHORT).show() + } + .setNegativeButton("Cancel", null) + .show() + return + } + + // Show login dialog + showLoginDialog() + } + + private fun showLoginDialog() { + val dialogView = layoutInflater.inflate(R.layout.dialog_server_config, null) + val etServerUrl = dialogView.findViewById(R.id.etServerUrl) + val etUsername = dialogView.findViewById(R.id.etUsername) + val etPassword = dialogView.findViewById(R.id.etPassword) + val tvError = dialogView.findViewById(R.id.tvError) + val progressLogin = dialogView.findViewById(R.id.progressLogin) + + // Pre-fill server URL + etServerUrl.setText(authManager.getServerUrl()) + + val dialog = + AlertDialog.Builder(this) + .setTitle("Login to HabitForge") + .setView(dialogView) + .setPositiveButton("Login", null) // Set to null to prevent auto-dismiss + .setNegativeButton("Cancel", null) + .create() + + dialog.setOnShowListener { + val loginButton = dialog.getButton(AlertDialog.BUTTON_POSITIVE) + + loginButton.setOnClickListener { + val serverUrl = etServerUrl.text.toString().trim() + val username = etUsername.text.toString().trim() + val password = etPassword.text.toString() + + // Validation + if (serverUrl.isEmpty()) { + tvError.text = "Please enter server URL" + tvError.visibility = View.VISIBLE + return@setOnClickListener + } + if (username.isEmpty()) { + tvError.text = "Please enter username" + tvError.visibility = View.VISIBLE + return@setOnClickListener + } + if (password.isEmpty()) { + tvError.text = "Please enter password" + tvError.visibility = View.VISIBLE + return@setOnClickListener + } + + // Show loading + tvError.visibility = View.GONE + progressLogin.visibility = View.VISIBLE + loginButton.isEnabled = false + etServerUrl.isEnabled = false + etUsername.isEnabled = false + etPassword.isEnabled = false + + // Attempt login + lifecycleScope.launch { + val result = authManager.login(serverUrl, username, password) + + if (result.success) { + dialog.dismiss() + Toast.makeText(this@MainActivity, result.message, Toast.LENGTH_LONG).show() + + // Schedule periodic raw data sync + RawDataSyncService.schedulePeriodicSync(this@MainActivity) + + updateUI() + checkServerAvailability() + } else { + // Show error + progressLogin.visibility = View.GONE + tvError.text = result.message + tvError.visibility = View.VISIBLE + loginButton.isEnabled = true + etServerUrl.isEnabled = true + etUsername.isEnabled = true + etPassword.isEnabled = true + } + } + } + } + + dialog.show() + } + + private fun openHealthConnect() { + try { + val intent = Intent("android.health.connect.action.HEALTH_HOME_SETTINGS") + startActivity(intent) + } catch (e: Exception) { + // Fallback for older versions + try { + val intent = + Intent(Intent.ACTION_VIEW).apply { + setPackage("com.google.android.apps.healthdata") + } + startActivity(intent) + } catch (e2: Exception) { + Toast.makeText(this, "Could not open Health Connect", Toast.LENGTH_SHORT).show() + } + } + } + + private fun installHealthConnect() { + try { + startActivity( + Intent( + Intent.ACTION_VIEW, + Uri.parse( + "https://play.google.com/store/apps/details?id=com.google.android.apps.healthdata" + ) + ) + ) + } catch (e: Exception) { + Toast.makeText(this, "Could not open Play Store", Toast.LENGTH_SHORT).show() + } + } + + // ==================== METRICS OVERVIEW ==================== + + private fun updateMetricsOverview() { + val allStatus = metricsSyncTracker.getAllMetricsStatus() + + // Update summary text + val syncedCount = allStatus.count { it.lastSyncTime != null } + val availableCount = allStatus.count { it.isAvailable } + binding.tvMetricsSummary.text = + "$syncedCount/${allStatus.size} metrics synced, $availableCount with data" + + // Update each metric view with click listener + setupMetricClickListener( + binding.metricSteps.root, + "steps", + allStatus.find { it.metricType.id == "steps" } + ) + setupMetricClickListener( + binding.metricDistance.root, + "distance", + allStatus.find { it.metricType.id == "distance" } + ) + setupMetricClickListener( + binding.metricCalories.root, + "calories", + allStatus.find { it.metricType.id == "calories" } + ) + setupMetricClickListener( + binding.metricHeartRate.root, + "heart_rate", + allStatus.find { it.metricType.id == "heart_rate" } + ) + setupMetricClickListener( + binding.metricRestingHR.root, + "resting_hr", + allStatus.find { it.metricType.id == "resting_hr" } + ) + setupMetricClickListener( + binding.metricSleep.root, + "sleep", + allStatus.find { it.metricType.id == "sleep" } + ) + setupMetricClickListener( + binding.metricWeight.root, + "weight", + allStatus.find { it.metricType.id == "weight" } + ) + setupMetricClickListener( + binding.metricSpO2.root, + "spo2", + allStatus.find { it.metricType.id == "spo2" } + ) + setupMetricClickListener( + binding.metricExercise.root, + "exercise", + allStatus.find { it.metricType.id == "exercise" } + ) + } + + private fun setupMetricClickListener( + metricView: View, + metricId: String, + status: MetricSyncStatus? + ) { + updateMetricView(metricView, status) + metricView.setOnClickListener { showMetricHistory(metricId) } + } + + private fun updateMetricView(metricView: View, status: MetricSyncStatus?) { + val metricType = status?.metricType ?: return + + val tvIcon = metricView.findViewById(R.id.tvMetricIcon) + val tvName = metricView.findViewById(R.id.tvMetricName) + val tvValue = metricView.findViewById(R.id.tvMetricValue) + val tvStatus = metricView.findViewById(R.id.tvMetricStatus) + val tvSyncTime = metricView.findViewById(R.id.tvMetricSyncTime) + + tvIcon.text = metricType.icon + tvName.text = metricType.displayName + tvStatus.text = status.getStatusIcon() + tvValue.text = status.getStatusText() + + if (status.lastSyncTime != null) { + tvSyncTime.visibility = View.VISIBLE + tvSyncTime.text = status.getFormattedSyncTime() + } else { + tvSyncTime.visibility = View.GONE + } + + // Set background color based on status + val bgColor = + when { + status.isAvailable && status.lastSyncTime != null -> "#E8F5E9" // Light green + status.lastSyncTime != null -> "#FFF3E0" // Light orange + else -> "#F5F5F5" // Light gray + } + metricView.setBackgroundColor(android.graphics.Color.parseColor(bgColor)) + } + + private fun refreshMetricsOverview() { + lifecycleScope.launch { + binding.btnRefreshMetrics.isEnabled = false + binding.btnRefreshMetrics.text = "Reading from Health Connect..." + + try { + // Read latest data from Health Connect (last 7 days for better data) + val endDate = java.time.LocalDate.now() + val startDate = endDate.minusDays(7) + + val metrics = healthConnectManager.readDailyMetrics(startDate, endDate) + val exercises = healthConnectManager.readExerciseSessions(startDate, endDate) + + if (metrics.isNotEmpty()) { + // Find the best (most recent non-zero) values for each metric + val sortedMetrics = metrics.sortedByDescending { it.date } + + // For steps - find most recent day with steps > 0 (could be today or yesterday) + val stepsMetric = + sortedMetrics.firstOrNull { it.steps > 0 } ?: sortedMetrics.first() + + // Find best values from available data + val bestSteps = stepsMetric.steps + val bestDistance = + sortedMetrics.firstOrNull { it.distanceMeters > 0 }?.distanceMeters + ?: 0.0 + val bestCalories = + sortedMetrics.firstOrNull { it.caloriesBurned > 0 }?.caloriesBurned + ?: 0.0 + val bestAvgHR = + sortedMetrics + .mapNotNull { it.avgHeartRate } + .filter { it > 0 } + .firstOrNull() + val bestRestingHR = + sortedMetrics + .mapNotNull { it.restingHeartRate } + .filter { it > 0 } + .firstOrNull() + val bestSleep = + sortedMetrics + .filter { it.sleepDurationMinutes > 0 } + .firstOrNull() + ?.sleepDurationMinutes + val bestWeight = + sortedMetrics.mapNotNull { it.weight }.filter { it > 0 }.firstOrNull() + val bestSpo2 = + sortedMetrics.mapNotNull { it.spo2 }.filter { it > 0 }.firstOrNull() + + Log.d( + TAG, + "Best values found - Steps: $bestSteps, Distance: $bestDistance, Calories: $bestCalories" + ) + + // Update tracker with best available values + metricsSyncTracker.updateFromSyncData( + steps = bestSteps, + distance = bestDistance, + calories = bestCalories, + avgHeartRate = bestAvgHR, + restingHeartRate = bestRestingHR, + sleepMinutes = bestSleep, + weight = bestWeight, + spo2 = bestSpo2, + exerciseCount = exercises.size + ) + + Toast.makeText( + this@MainActivity, + "Metrics refreshed from Health Connect", + Toast.LENGTH_SHORT + ) + .show() + } else { + Toast.makeText( + this@MainActivity, + "No metrics data available", + Toast.LENGTH_SHORT + ) + .show() + } + + updateMetricsOverview() + } catch (e: Exception) { + Log.e(TAG, "Error refreshing metrics", e) + Toast.makeText(this@MainActivity, "Error: ${e.message}", Toast.LENGTH_SHORT).show() + } finally { + binding.btnRefreshMetrics.isEnabled = true + binding.btnRefreshMetrics.text = "Refresh Metrics" + } + } + } + + /** Show full metric history in a dialog */ + private fun showMetricHistory(metricId: String) { + val progressDialog = + AlertDialog.Builder(this) + .setMessage("Loading 365 days of history...") + .setCancelable(false) + .show() + + lifecycleScope.launch { + try { + // Read all available data from Health Connect (last 365 days for full history) + val endDate = java.time.LocalDate.now() + val startDate = endDate.minusDays(365) + + val metrics = healthConnectManager.readDailyMetrics(startDate, endDate) + val exercises = + if (metricId == "exercise") { + healthConnectManager.readExerciseSessions(startDate, endDate) + } else emptyList() + + progressDialog.dismiss() + + if (metrics.isEmpty() && exercises.isEmpty()) { + Toast.makeText( + this@MainActivity, + "No history data available", + Toast.LENGTH_SHORT + ) + .show() + return@launch + } + + // Create and show dialog + showMetricHistoryDialog(metricId, metrics, exercises) + } catch (e: Exception) { + progressDialog.dismiss() + Log.e(TAG, "Error loading history", e) + Toast.makeText( + this@MainActivity, + "Error loading history: ${e.message}", + Toast.LENGTH_SHORT + ) + .show() + } + } + } + + private fun showMetricHistoryDialog( + metricId: String, + metrics: List, + exercises: List + ) { + val dialogView = LayoutInflater.from(this).inflate(R.layout.dialog_metric_history, null) + val dialog = AlertDialog.Builder(this).setView(dialogView).create() + + dialogView.findViewById(R.id.btnCloseHistory).setOnClickListener { dialog.dismiss() } + + val tvTitle = dialogView.findViewById(R.id.tvHistoryTitle) + val tvSubtitle = dialogView.findViewById(R.id.tvHistorySubtitle) + val tvIcon = dialogView.findViewById(R.id.tvHistoryIcon) + val tvDataPoints = dialogView.findViewById(R.id.tvHistoryDataPoints) + val tvLatestValue = dialogView.findViewById(R.id.tvHistoryLatestValue) + val tvAverage = dialogView.findViewById(R.id.tvHistoryAverage) + val layoutList = dialogView.findViewById(R.id.layoutHistoryList) + val ivChart = dialogView.findViewById(R.id.chartHistory) + + val btnRecent = dialogView.findViewById + + +
+ Target: ${challenge.daily_target} ${challenge.unit_type || 'reps'} +
${badgesHtml}
+
+ + + +
+
+ Today +
+ ${todayTracking.reps} + / ${challenge.daily_target} +
+
+
+
+
+ +
+
+ + +
+
+ + +
+
+
+ + +
+ History + ${generateMiniHeatmap(challenge)} +
+ + + `; + + div.querySelector('.delete-btn').addEventListener('click', () => deleteChallenge(challenge.id)); + return div; +} + +window.adjustReps = (id, date, delta, current) => { + const newReps = Math.max(0, current + delta); + updateTracking(id, date, newReps); +}; + +window.manualReps = (id, date, value) => { + const newReps = Math.max(0, parseInt(value) || 0); + updateTracking(id, date, newReps); +}; + +window.toggleTagsInput = () => { + const container = document.getElementById('tags-input-container'); + if (container) container.classList.toggle('hidden'); +}; + +async function saveContext() { + const slider = document.getElementById('readiness-slider'); + const tagsInput = document.getElementById('context-tags-input'); + const dateStr = state.currentDate.toISOString().split('T')[0]; + + const payload = { + date: dateStr, + mood: parseInt(slider.value), + tags: tagsInput.value, + notes: null + }; + + try { + const res = await fetch(`${API_URL}/analytics/context`, { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(payload) + }); + + if (res.ok) { + // Toast or feedback + const btn = document.getElementById('save-context-btn'); + const originalText = btn.innerText; + btn.innerText = 'Saved!'; + btn.classList.add('bg-green-600'); + setTimeout(() => { + btn.innerText = originalText; + btn.classList.remove('bg-green-600'); + }, 2000); + + // Reload data to refresh readiness with new context + loadHealthData(state.healthPeriod); + } + } catch (e) { + console.error("Failed to save context", e); + } +} + +// Bind save button (delegate or init) +document.addEventListener('click', (e) => { + if (e.target && e.target.id === 'save-context-btn') { + saveContext(); + } +}); + +function generateMiniHeatmap(challenge) { + let html = ''; + const today = new Date(); + // Show last 7 days + today (total 8? or just 7). Let's do 7. + for (let i = 6; i >= 0; i--) { + const d = new Date(today); + d.setDate(d.getDate() - i); + const dateStr = d.toISOString().split('T')[0]; + + const tracking = challenge.trackings.find(t => t.date === dateStr); + let colorClass = 'bg-gray-200 dark:bg-gray-700'; + + if (tracking) { + if (tracking.completed) colorClass = 'bg-green-500'; + else if (tracking.reps > 0) colorClass = 'bg-orange-400'; + else if (new Date(dateStr) < new Date(today.toISOString().split('T')[0])) colorClass = 'bg-red-400/50'; + } + + const dayName = d.toLocaleDateString('en-US', { weekday: 'narrow' }); + // Tooltip with date and status + const title = `${dateStr}: ${tracking ? tracking.reps : 0} `; + + html += ` +
+
+
+ `; + } + return html; +} + +// --- Charts Logic --- +function renderCharts() { + const ctxReps = document.getElementById('chart-reps').getContext('2d'); + const ctxComp = document.getElementById('chart-completion').getContext('2d'); + + // Prepare Data: Last 7 days + const labels = []; + const today = new Date(); + for (let i = 6; i >= 0; i--) { + const d = new Date(today); + d.setDate(d.getDate() - i); + labels.push(d.toLocaleDateString('en-US', { weekday: 'short' })); + } + + // Aggregates + const repsData = new Array(7).fill(0); + const completionData = new Array(7).fill(0); + + // Naively iterate again for simplicity + for (let i = 6; i >= 0; i--) { + const d = new Date(today); + d.setDate(d.getDate() - i); + const dateStr = d.toISOString().split('T')[0]; + const idx = 6 - i; + + state.challenges.forEach(c => { + const t = c.trackings.find(tr => tr.date === dateStr); + if (t) { + repsData[idx] += t.reps; + if (t.completed) completionData[idx] += 1; + } + }); + // Convert count to percentage for completion + if (state.challenges.length > 0) { + completionData[idx] = Math.round((completionData[idx] / state.challenges.length) * 100); + } + } + + // Destroy existing + if (state.charts.reps) state.charts.reps.destroy(); + if (state.charts.comp) state.charts.comp.destroy(); + + const isDark = document.documentElement.classList.contains('dark'); + const textColor = isDark ? '#9ca3af' : '#4b5563'; + + state.charts.reps = new Chart(ctxReps, { + type: 'bar', + data: { + labels: labels, + datasets: [{ + label: 'Total Reps', + data: repsData, + backgroundColor: '#0ea5e9', + borderRadius: 4 + }] + }, + options: { + responsive: true, + scales: { + y: { beginAtZero: true, grid: { color: isDark ? '#374151' : '#e5e7eb' }, ticks: { color: textColor } }, + x: { grid: { display: false }, ticks: { color: textColor } } + }, + plugins: { legend: { display: false } } + } + }); + + state.charts.comp = new Chart(ctxComp, { + type: 'line', + data: { + labels: labels, + datasets: [{ + label: 'Completion Rate %', + data: completionData, + borderColor: '#10b981', + tension: 0.4, + fill: true, + backgroundColor: '#10b98120' + }] + }, + options: { + responsive: true, + scales: { + y: { beginAtZero: true, max: 100, grid: { color: isDark ? '#374151' : '#e5e7eb' }, ticks: { color: textColor } }, + x: { grid: { display: false }, ticks: { color: textColor } } + }, + plugins: { legend: { display: false } } + } + }); + + renderHeatmap(); +} + +function renderBadges() { + const container = document.getElementById('badge-list'); + if (!container) return; + + container.innerHTML = ''; + + // Calculate Global Stats + let totalReps = 0; + let maxDailyReps = 0; + let daysCompletedChain = 0; // Simple streak logic + let hasChallenge = state.challenges.length > 0; + + // We need to aggregate trackings by date to find max daily reps + const dailyRepsMap = {}; + const today = new Date().toISOString().split('T')[0]; + + state.challenges.forEach(c => { + c.trackings.forEach(t => { + totalReps += t.reps; + if (!dailyRepsMap[t.date]) dailyRepsMap[t.date] = 0; + dailyRepsMap[t.date] += t.reps; + }); + }); + + Object.values(dailyRepsMap).forEach(reps => { + if (reps > maxDailyReps) maxDailyReps = reps; + }); + + // Check Streak (Global: consecutive days with at least one completion?) + // Prompt says "Active Streak de 7 jours". + // We'll calculate it from "Active Streak" logic we already have or re-calculate. + // Existing activeStreakEl suggests we might have it, but that logic was "Tracked Today". + // Let's implement a simple "Last 7 days active" check for the badge. + + // Badge Definitions + const badges = [ + { + id: 'beginner', + title: 'Débutant', + desc: 'Créer le premier challenge', + icon: 'fa-rocket', + unlocked: hasChallenge + }, + { + id: 'onfire', + title: 'En feu', + desc: 'Atteindre une streak de 7 jours', + icon: 'fa-fire', + unlocked: parseInt(document.getElementById('active-streak').innerText) >= 7 // Reusing existing metric for simplicity or calculate proper streak + }, + { + id: 'spartan', + title: 'Spartiate', + desc: '300 reps en une seule journée', + icon: 'fa-shield-halved', + unlocked: maxDailyReps >= 300 + } + ]; + + badges.forEach(b => { + const div = document.createElement('div'); + div.className = `flex flex-col items-center justify-center p-3 rounded-lg border w-24 flex-shrink-0 transition-all ${b.unlocked ? 'bg-brand-50 dark:bg-brand-900/20 border-brand-200 dark:border-brand-800' : 'bg-gray-50 dark:bg-gray-800 border-gray-200 dark:border-gray-700 opacity-50 grayscale'}`; + div.title = b.desc; + + div.innerHTML = ` +
+ +
+ ${b.title} + `; + + container.appendChild(div); + }); +} + + + +function renderHeatmap() { + const container = document.getElementById('consistency-heatmap'); + if (!container) return; + + container.innerHTML = ''; + const grid = document.createElement('div'); + grid.className = 'flex flex-wrap gap-1 max-w-full justify-start'; + + const today = new Date(); + // Start 365 days ago + const startDate = new Date(today); + startDate.setDate(today.getDate() - 364); + + for (let i = 0; i < 365; i++) { + const d = new Date(startDate); + d.setDate(startDate.getDate() + i); + const dateStr = d.toISOString().split('T')[0]; + + let activeChallengesCount = 0; + let completedCount = 0; + let anyActivity = false; + + state.challenges.forEach(c => { + if (c.start_date <= dateStr && (!c.end_date || c.end_date >= dateStr)) { + activeChallengesCount++; + const t = c.trackings.find(tr => tr.date === dateStr); + if (t) { + if (t.reps > 0) anyActivity = true; + if (t.completed) completedCount++; + } + } + }); + + let colorClass = 'bg-gray-100 dark:bg-gray-700/50'; + let title = `${dateStr}: No activity`; + + if (activeChallengesCount > 0) { + if (completedCount === activeChallengesCount && activeChallengesCount > 0) { + colorClass = 'bg-brand-500'; + title = `${dateStr}: Perfect Day! (${completedCount}/${activeChallengesCount})`; + } else if (anyActivity) { + colorClass = 'bg-brand-300 dark:bg-brand-800'; + title = `${dateStr}: Some activity`; + } else { + title = `${dateStr}: Missed`; + } + } + + const square = document.createElement('div'); + square.className = `w-2.5 h-2.5 rounded-sm ${colorClass} transition-colors hover:ring-1 hover:ring-gray-400`; + square.title = title; + grid.appendChild(square); + } + container.appendChild(grid); +} + +// --- Google Fit & Health Dashboard --- + +// Google Fit & Health Dashboard Legacy Code Removed + + +function renderHealthDashboard(data) { + const section = document.getElementById('health-overview'); + if (!data || data.length === 0) { + // section.classList.add('hidden'); // Keep visible so user sees Sync button? + // Or show empty state + document.getElementById('health-steps').innerText = '--'; + document.getElementById('health-sleep').innerText = '--'; + document.getElementById('health-pai').innerText = '--'; + return; + } + section.classList.remove('hidden'); + + // 1. Update Cards (Latest Data) + // Sort logic in backend was "asc". So last item is latest. + const latest = data[data.length - 1]; + const todayStr = new Date().toISOString().split('T')[0]; + + // Check if latest is today? If not, show latest available with date? + // For now, just show latest sync point. + + if (latest) { + document.getElementById('health-steps').innerText = latest.step_count.toLocaleString(); + + const h = Math.floor(latest.sleep_duration_minutes / 60); + const m = latest.sleep_duration_minutes % 60; + document.getElementById('health-sleep').innerText = `${h}h ${m}m`; + + const dh = Math.floor(latest.deep_sleep_minutes / 60); + const dm = latest.deep_sleep_minutes % 60; + document.getElementById('health-deep_sleep').innerText = `${dh}h ${dm}m Deep`; // Typo fix in HTML id needed? HTML has health-deep-sleep + + document.getElementById('health-pai').innerText = latest.pai_score.toFixed(1); + + // Update bar width (Goal: 10k steps?) + const stepGoal = 10000; + const pct = Math.min(100, (latest.step_count / stepGoal) * 100); + document.getElementById('steps-bar').style.width = `${pct}%`; + } + + // 2. Render Charts + // Prepare Data + const labels = data.map(d => new Date(d.date).toLocaleDateString('en-US', { month: 'short', day: 'numeric' })); + const stepsData = data.map(d => d.step_count); + const calsData = data.map(d => d.calories_burned); + const sleepData = data.map(d => Number((d.sleep_duration_minutes / 60).toFixed(1))); + const paiData = data.map(d => d.pai_score); + + // Chart 1: Steps & Calories + const ctx1 = document.getElementById('chart-steps-cals').getContext('2d'); + if (state.charts.health1) state.charts.health1.destroy(); + + const isDark = document.documentElement.classList.contains('dark'); + const textColor = isDark ? '#9ca3af' : '#4b5563'; + + state.charts.health1 = new Chart(ctx1, { + type: 'bar', + data: { + labels: labels, + datasets: [ + { + label: 'Steps', + data: stepsData, + backgroundColor: '#3b82f6', + yAxisID: 'y' + }, + { + label: 'Calories', + data: calsData, + type: 'line', + borderColor: '#ef4444', + borderWidth: 2, + pointRadius: 0, + tension: 0.4, + yAxisID: 'y1' + } + ] + }, + options: { + responsive: true, + maintainAspectRatio: false, + scales: { + x: { ticks: { color: textColor }, grid: { display: false } }, + y: { type: 'linear', position: 'left', ticks: { color: textColor }, grid: { color: isDark ? '#374151' : '#e5e7eb' } }, + y1: { type: 'linear', position: 'right', grid: { display: false }, ticks: { display: false } } // Hide calories ticks to reduce clutter + } + } + }); + + // Chart 2: Sleep & PAI + const ctx2 = document.getElementById('chart-health-metrics').getContext('2d'); + if (state.charts.health2) state.charts.health2.destroy(); + + state.charts.health2 = new Chart(ctx2, { + type: 'line', + data: { + labels: labels, + datasets: [ + { + label: 'Sleep (hrs)', + data: sleepData, + borderColor: '#8b5cf6', + backgroundColor: '#8b5cf620', + fill: true, + tension: 0.4, + yAxisID: 'y' + }, + { + label: 'PAI', + data: paiData, + borderColor: '#f97316', + borderDash: [5, 5], + tension: 0.4, + yAxisID: 'y1' + } + ] + }, + options: { + responsive: true, + maintainAspectRatio: false, + scales: { + x: { ticks: { color: textColor }, grid: { display: false } }, + y: { title: { display: true, text: 'Hours' }, ticks: { color: textColor }, grid: { color: isDark ? '#374151' : '#e5e7eb' } }, + y1: { type: 'linear', position: 'right', grid: { display: false }, title: { display: true, text: 'PAI' } } + } + } + }); +} + + + +// --- Custom Image Dropdown --- +async function initImageDropdown() { + const dropdown = document.getElementById('custom-image-dropdown'); + if (!dropdown) return; + + const button = document.getElementById('dropdown-button'); + const menu = document.getElementById('dropdown-menu'); + const optionsContainer = document.getElementById('dropdown-options'); + const hiddenInput = document.getElementById('selected-image-url'); + const previewContainer = document.getElementById('image-preview-container'); + const previewImage = document.getElementById('image-preview'); + const selectedText = document.getElementById('dropdown-selected-text'); + + // Fetch images + try { + const response = await fetch('/api/static/images'); + if (!response.ok) return; + const images = await response.json(); + + if (images.length === 0) { + optionsContainer.innerHTML = '
No images found
'; + } else { + optionsContainer.innerHTML = ''; + images.forEach(img => { + const url = `/static/${img}`; + + const div = document.createElement('div'); + div.className = 'flex items-center gap-3 p-2 hover:bg-gray-100 dark:hover:bg-gray-700 rounded-lg cursor-pointer transition-colors'; + div.onclick = () => selectImage(url, img); + div.innerHTML = ` +
+ +
+ ${img} + `; + optionsContainer.appendChild(div); + }); + } + } catch (e) { + console.error("Failed to load images", e); + } + + // Toggle + button.addEventListener('click', (e) => { + e.stopPropagation(); + menu.classList.toggle('hidden'); + const arrow = button.querySelector('.fa-chevron-down'); + if (arrow) arrow.classList.toggle('rotate-180'); + }); + + // Close on click outside + document.addEventListener('click', (e) => { + if (!dropdown.contains(e.target)) { + menu.classList.add('hidden'); + const arrow = button.querySelector('.fa-chevron-down'); + if (arrow) arrow.classList.remove('rotate-180'); + } + }); + + function selectImage(url, name) { + hiddenInput.value = url; + selectedText.textContent = name; + previewImage.src = url; + + previewContainer.classList.remove('hidden'); + const placeholder = document.getElementById('no-image-placeholder'); + if (placeholder) placeholder.classList.add('hidden'); + + menu.classList.add('hidden'); + const arrow = button.querySelector('.fa-chevron-down'); + if (arrow) arrow.classList.remove('rotate-180'); + } +} + +// --- Health Dashboard Logic --- + +// --- Health Dashboard Logic --- + +function initHealthDashboard() { + // Initialize state properties + if (!state.healthCache) state.healthCache = {}; + if (!state.charts.health) state.charts.health = {}; // Store multiple health charts + if (!state.healthPeriod) state.healthPeriod = 'week'; + if (!state.currentDate) state.currentDate = new Date(); // Default to today + + const toggleBtn = document.getElementById('health-toggle-btn'); + const dashboardView = document.getElementById('dashboard-view'); + const healthView = document.getElementById('health-dashboard-view'); + const timeframeBtns = document.querySelectorAll('.timeframe-btn'); + // Sync buttons removed + const tabBtns = document.querySelectorAll('.health-tab-btn'); + + // specific date nav + const datePrevBtn = document.getElementById('date-prev-btn'); + const dateNextBtn = document.getElementById('date-next-btn'); + + // Toggle View + if (toggleBtn) { + toggleBtn.addEventListener('click', () => { + const isHealth = healthView.classList.contains('hidden'); + if (isHealth) { + dashboardView.classList.add('hidden'); + healthView.classList.remove('hidden'); + toggleBtn.classList.add('bg-brand-50', 'text-brand-600'); + toggleBtn.classList.remove('bg-white', 'text-gray-600'); + + // Reset date on open if needed, or keep last state? keeping last state is better. + updateDateDisplay(); + switchPeriodViews(state.healthPeriod); + loadHealthData(state.healthPeriod); + + // Initialize Tabs if first open (default to overview) + if (!document.querySelector('.health-tab-btn.active-tab')) { + tabBtns[0].click(); + } + } else { + healthView.classList.add('hidden'); + dashboardView.classList.remove('hidden'); + toggleBtn.classList.remove('bg-brand-50', 'text-brand-600'); + toggleBtn.classList.add('bg-white', 'text-gray-600'); + } + }); + } + + // Date Navigation Listeners + if (datePrevBtn) datePrevBtn.addEventListener('click', () => changeDate(-1)); + if (dateNextBtn) dateNextBtn.addEventListener('click', () => changeDate(1)); + + // Timeframe Selectors + timeframeBtns.forEach(btn => { + btn.addEventListener('click', () => { + timeframeBtns.forEach(b => { + b.classList.remove('bg-white', 'dark:bg-gray-700', 'shadow-sm', 'text-brand-600', 'dark:text-brand-400'); + b.classList.add('text-gray-500', 'dark:text-gray-400'); + }); + btn.classList.add('bg-white', 'dark:bg-gray-700', 'shadow-sm', 'text-brand-600', 'dark:text-brand-400'); + btn.classList.remove('text-gray-500', 'dark:text-gray-400'); + + state.healthPeriod = btn.dataset.period; + + // Switch period-specific views within each tab + switchPeriodViews(state.healthPeriod); + + updateDateDisplay(); + loadHealthData(state.healthPeriod); + }); + }); + + // Tab Switching + tabBtns.forEach(btn => { + btn.addEventListener('click', () => { + // Update Buttons + tabBtns.forEach(b => { + b.classList.remove('active-tab', 'text-brand-600', 'border-brand-600'); + b.classList.add('text-gray-500', 'dark:text-gray-400', 'border-transparent'); + }); + btn.classList.add('active-tab', 'text-brand-600', 'border-brand-600'); + btn.classList.remove('text-gray-500', 'dark:text-gray-400', 'border-transparent'); + + // Show Content + document.querySelectorAll('.health-tab-content').forEach(c => c.classList.add('hidden')); + const tabId = btn.dataset.tab; + document.getElementById(`tab-${tabId}`).classList.remove('hidden'); + + // Load workouts data when switching to workouts tab + if (tabId === 'workouts' && (!workoutState.workouts || workoutState.workouts.length === 0)) { + loadWorkoutsData(); + } + + // Re-render charts for this tab if data exists (to fix canvas size issues on hidden tabs) + const dateStr = state.currentDate ? state.currentDate.toISOString().split('T')[0] : new Date().toISOString().split('T')[0]; + const key = `${state.healthPeriod}_${dateStr}`; + + if (state.healthCache[key]) { + renderHealthDashboard(state.healthCache[key], state.healthPeriod); + } + }); + }); + + + + // Google Fit Sync Button Removed + // Health Connect Sync Button Removed + // Google Token Check Removed + + + // Init Sources + // Sync timeframe buttons with initial state + timeframeBtns.forEach(btn => { + if (btn.dataset.period === state.healthPeriod) { + btn.classList.add('bg-white', 'dark:bg-gray-700', 'shadow-sm', 'text-brand-600', 'dark:text-brand-400'); + btn.classList.remove('text-gray-500', 'dark:text-gray-400'); + } else { + btn.classList.remove('bg-white', 'dark:bg-gray-700', 'shadow-sm', 'text-brand-600', 'dark:text-brand-400'); + btn.classList.add('text-gray-500', 'dark:text-gray-400'); + } + }); + + fetchDataSources(); +} + +async function fetchDataSources() { + try { + const res = await fetch(`${API_URL}/analytics/sources`); + if (!res.ok) return; + + state.availableSources = await res.json(); + const selector = document.getElementById('health-source-select'); + const container = document.getElementById('source-selector-container'); + const labelContainer = document.getElementById('source-label-container'); + const nameDisplay = document.getElementById('source-name-display'); + + // Reset + selector.innerHTML = ''; + + if (state.availableSources.length === 0) { + container.classList.add('hidden'); + labelContainer.classList.add('hidden'); + } else if (state.availableSources.length === 1) { + // One source: Show Label + const src = state.availableSources[0]; + state.currentSource = src.package; // Auto-select + nameDisplay.textContent = src.name; + container.classList.add('hidden'); + labelContainer.classList.remove('hidden'); + } else { + // Multiple: Show Selector + state.availableSources.forEach(src => { + const opt = document.createElement('option'); + opt.value = src.package; + opt.textContent = src.name; + selector.appendChild(opt); + }); + container.classList.remove('hidden'); + labelContainer.classList.add('hidden'); + + // Listener + selector.addEventListener('change', (e) => { + state.currentSource = e.target.value; + loadHealthData(state.healthPeriod); + }); + } + } catch (e) { + console.error("Failed to load sources", e); + } +} + +// performSync removed + + +async function loadHealthData(period) { + const dateStr = state.currentDate.toISOString().split('T')[0]; + const key = `${period}_${dateStr}_${state.currentSource || 'all'}`; + + try { + let data; + let mappedData = []; + const sourceParam = state.currentSource ? `&source=${state.currentSource}` : ''; + + if (period === 'day') { + // Fetch single day + const res = await fetch(`${API_URL}/analytics/daily?date_str=${dateStr}${sourceParam}`); + if (!res.ok) throw new Error("Failed to fetch daily stats"); + const dayStats = await res.json(); + + // Map to expected format (array of 1) + mappedData = [{ + date: dateStr, + step_count: dayStats.steps, + calories_burned: dayStats.calories, + sleep_duration_minutes: dayStats.sleep_minutes, + pai_score: (dayStats.steps / 100), // Mock PAI from steps + + // Sleep Stages + deep_sleep_minutes: dayStats.deep_sleep_minutes, + light_sleep_minutes: dayStats.light_sleep_minutes, + rem_sleep_minutes: dayStats.rem_sleep_minutes, + awake_duration_minutes: dayStats.awake_duration_minutes, + + // Heart Rate + resting_heart_rate: dayStats.resting_hr, + avg_heart_rate: dayStats.avg_heart_rate, + hrv: dayStats.hrv, + sleep_heart_rate: dayStats.sleep_avg_hr, + min_heart_rate: dayStats.min_heart_rate, + max_heart_rate: dayStats.max_heart_rate, + + // Other + weight_kg: dayStats.weight_kg, + distance_meters: dayStats.distance_meters, + bedtime: dayStats.bedtime, + wake_time: dayStats.wake_time, + + // Readiness & Context + readiness: dayStats.readiness, + user_context: dayStats.user_context + }]; + + // Day View specific cards are now handled by renderHealthDashboard via mappedData + } else { + // Fetch range + let start, end; + const d = new Date(state.currentDate); + if (period === 'week') { + end = new Date(d); + start = new Date(d); + start.setDate(start.getDate() - 6); + } else { + end = new Date(d); + start = new Date(d); + start.setDate(start.getDate() - 29); + } + + const sStr = start.toISOString().split('T')[0]; + const eStr = end.toISOString().split('T')[0]; + + const res = await fetch(`${API_URL}/analytics/range?start_date=${sStr}&end_date=${eStr}${sourceParam}`); + if (!res.ok) throw new Error("Failed to fetch range stats"); + const rangeData = await res.json(); + + // Map range data + mappedData = rangeData.daily.map(day => ({ + date: day.date, + step_count: day.steps, + calories_burned: day.calories, // Range endpoint needs to return this, updated analytics.py + sleep_duration_minutes: day.sleep_minutes, + pai_score: (day.steps / 100), + distance_meters: day.distance_meters, + // Add defaults for missing detailed stats in range view + deep_sleep_minutes: 0, + light_sleep_minutes: 0, + rem_sleep_minutes: 0, + awake_duration_minutes: 0, + resting_heart_rate: day.resting_hr || 0, + hrv: day.hrv || 0, + avg_heart_rate: 0, + min_heart_rate: 0, + max_heart_rate: 0, + weight_kg: 0, + weight_kg: 0, + bedtime: day.bedtime, + wake_time: day.wake_time, + + // Enriched Range Data + readiness: { score: day.readiness, physical_score: 0, mental_score: day.recovery_score }, // Simplified mapping + strain: day.strain, + recovery_score: day.recovery_score, + mood_score: day.mood_score + })); + + // Inside else block, we have sStr and eStr + await loadWorkoutsData(sStr, eStr); + } + + // Load workouts for Day period here (Range handled above) + if (period === 'day') { + await loadWorkoutsData(dateStr, dateStr); + } + + renderHealthDashboard(mappedData, period); + renderReadinessView(mappedData, period); + + } catch (err) { + console.error("Error loading health data", err); + showToast("Failed to load health metrics", "error"); + } +} + +// --- NEW READINESS VIEW RENDERING --- +function renderReadinessView(data, period) { + if (!data || data.length === 0) return; + + // --- DAY VIEW --- + if (period === 'day') { + const today = data[0]; + const readiness = today.readiness || { score: 0, mental_score: 0, physical_score: 0, recommendation: "No data" }; + const context = today.user_context || { mood_score: 50, tags: [] }; + + // 1. Update Gauge (Split) + drawSplitGauge( + 'gauge-readiness-split', + readiness.physical_score || 0, + readiness.mental_score || 0 + ); + + // 2. Update Strings + const scoreEl = document.getElementById('readiness-score'); + if (scoreEl) scoreEl.innerText = readiness.score || '--'; + const textEl = document.getElementById('readiness-text'); + if (textEl) textEl.innerHTML = readiness.recommendation || 'No data available.'; + + // 3. Update Inputs + const slider = document.getElementById('readiness-slider'); + const display = document.getElementById('slider-val-display'); + const tagsInput = document.getElementById('context-tags-input'); + + if (slider) { + slider.value = context.mood_score || 50; + if (display) display.innerText = slider.value + '%'; + + // Local listener for display update + slider.oninput = (e) => { + if (display) display.innerText = e.target.value + '%'; + }; + } + if (tagsInput && context.tags) { + tagsInput.value = context.tags.join(', '); + } + } + + // --- WEEK VIEW --- + else if (period === 'week') { + const labels = data.map(d => new Date(d.date).toLocaleDateString('en-US', { weekday: 'short' })); + const strainData = data.map(d => d.strain || 0); + const recoveryData = data.map(d => d.recovery_score || 0); + const hrvData = data.map(d => d.hrv || 0); + + const ctx = document.getElementById('chart-recovery-strain').getContext('2d'); + if (state.charts.readinessWeek) state.charts.readinessWeek.destroy(); + + const isDark = document.documentElement.classList.contains('dark'); + const textColor = isDark ? '#9ca3af' : '#4b5563'; + + state.charts.readinessWeek = new Chart(ctx, { + type: 'bar', + data: { + labels: labels, + datasets: [ + { + label: 'Strain', + data: strainData, + backgroundColor: '#ef4444', + barPercentage: 0.6, + categoryPercentage: 0.8 + }, + { + label: 'Recovery', + data: recoveryData, + backgroundColor: '#22c55e', + barPercentage: 0.6, + categoryPercentage: 0.8 + }, + { + label: 'HRV Trend', + data: hrvData, + type: 'line', + borderColor: '#8b5cf6', + borderWidth: 2, + tension: 0.4, + yAxisID: 'y1', + pointRadius: 0 + } + ] + }, + options: { + responsive: true, + maintainAspectRatio: false, + scales: { + x: { ticks: { color: textColor }, grid: { display: false } }, + y: { + beginAtZero: true, + max: 100, + ticks: { color: textColor }, + grid: { color: isDark ? '#374151' : '#e5e7eb' }, + title: { display: true, text: 'Score' } + }, + y1: { + type: 'linear', + position: 'right', + display: false // Hide right axis scale to keep it clean, just show trend + } + }, + plugins: { legend: { display: false } } + } + }); + + // Update Stats + const avgRecovery = Math.round(recoveryData.reduce((a, b) => a + b, 0) / recoveryData.length) || 0; + const avgStrain = Math.round(strainData.reduce((a, b) => a + b, 0) / strainData.length) || 0; + const recEl = document.getElementById('week-avg-recovery'); + const strEl = document.getElementById('week-avg-strain'); + if (recEl) recEl.innerText = avgRecovery; + if (strEl) strEl.innerText = avgStrain; + + // Simple Balance Logic + const diff = avgRecovery - avgStrain; + const balanceEl = document.getElementById('week-balance-status'); + if (balanceEl) { + if (diff < -20) { balanceEl.innerText = "Overload"; balanceEl.classList.add('text-red-500'); } + else if (diff > 20) { balanceEl.innerText = "Undertraining"; balanceEl.classList.add('text-blue-500'); } + else { balanceEl.innerText = "Optimal"; balanceEl.classList.add('text-green-500'); } + } + } + + // --- MONTH VIEW --- + else if (period === 'month') { + const heatmapContainer = document.getElementById('heatmap-container'); + if (heatmapContainer) { + heatmapContainer.innerHTML = ''; + // Heatmap of Readiness + data.forEach(d => { + const dayDiv = document.createElement('div'); + const readiness = d.recovery_score || d.readiness?.score || 0; + let colorClass = 'bg-gray-200 dark:bg-gray-700'; + + // Color Scale + if (readiness > 85) colorClass = 'bg-green-500'; + else if (readiness > 70) colorClass = 'bg-green-400'; + else if (readiness > 50) colorClass = 'bg-yellow-400'; + else if (readiness > 30) colorClass = 'bg-orange-400'; + else if (readiness > 0) colorClass = 'bg-red-500'; + + dayDiv.className = `w-full h-8 rounded-sm ${colorClass} transition-opacity hover:opacity-80`; + dayDiv.title = `${d.date}: ${readiness}`; + heatmapContainer.appendChild(dayDiv); + }); + } + + // Baseline Graph + const ctxHrv = document.getElementById('chart-hrv-trend').getContext('2d'); + if (state.charts.readinessMonth) state.charts.readinessMonth.destroy(); + + const labels = data.map(d => d.date.split('-')[2]); // Just day + const hrvData = data.map(d => d.hrv || 0); + + const isDark = document.documentElement.classList.contains('dark'); + const textColor = isDark ? '#9ca3af' : '#4b5563'; + + state.charts.readinessMonth = new Chart(ctxHrv, { + type: 'line', + data: { + labels: labels, + datasets: [{ + label: 'Daily HRV', + data: hrvData, + borderColor: '#8b5cf6', + backgroundColor: '#8b5cf610', + fill: true, + tension: 0.4, + pointRadius: 2 + }] + }, + options: { + responsive: true, + maintainAspectRatio: false, + scales: { + x: { ticks: { color: textColor, maxTicksLimit: 10 }, grid: { display: false } }, + y: { ticks: { color: textColor }, grid: { color: isDark ? '#374151' : '#e5e7eb' } } + }, + plugins: { legend: { display: false } } + } + }); + + // Calculate Month Stats + const avgHrv = Math.round(hrvData.reduce((a, b) => a + b, 0) / hrvData.length) || 0; + const hrvAvgEl = document.getElementById('month-hrv-avg'); + if (hrvAvgEl) hrvAvgEl.innerText = avgHrv + ' ms'; + } +} + +function drawSplitGauge(canvasId, physical, mental) { + const canvas = document.getElementById(canvasId); + if (!canvas) return; + const ctx = canvas.getContext('2d'); + + // Resize handling using clientWidth/Height for HDPI + const dpr = window.devicePixelRatio || 1; + const rect = canvas.getBoundingClientRect(); + canvas.width = rect.width * dpr; + canvas.height = rect.height * dpr; + ctx.scale(dpr, dpr); + + const w = rect.width; + const h = rect.height; + if (w === 0 || h === 0) return; // Canvas not ready or hidden + + const cx = w / 2; + const cy = h / 2; + const r = Math.min(w, h) / 2 - 20; + const lineWidth = 15; + + if (r <= 5) return; // Too small to draw meaningfully + + ctx.clearRect(0, 0, w, h); + ctx.lineCap = 'round'; + + // Helper to draw arc + function drawArc(startAngle, endAngle, color, radius) { + if (radius <= 0) return; + ctx.beginPath(); + ctx.arc(cx, cy, radius, startAngle, endAngle); + ctx.strokeStyle = color; + ctx.lineWidth = lineWidth; + ctx.stroke(); + } + + // Background Rings + drawArc(Math.PI * 0.8, Math.PI * 2.2, '#e5e7eb', r); // Outer bg (Physical) + drawArc(Math.PI * 0.8, Math.PI * 2.2, '#e5e7eb', r - 20); // Inner bg (Mental) + + // Physical (Outer) + // Map 0-100 to angle range + const start = Math.PI * 0.8; + const totalAngle = Math.PI * 1.4; // 2.2 - 0.8 + const physEnd = start + (totalAngle * (physical / 100)); + + // Color logic + const physColor = physical > 80 ? '#22c55e' : (physical > 50 ? '#eab308' : '#ef4444'); + drawArc(start, physEnd, physColor, r); + + // Mental (Inner) + const mentEnd = start + (totalAngle * (mental / 100)); + const mentColor = mental > 80 ? '#3b82f6' : (mental > 50 ? '#a855f7' : '#ef4444'); + drawArc(start, mentEnd, mentColor, r - 20); +} + +function changeDate(delta) { + if (!state.currentDate) state.currentDate = new Date(); + + // Adjust based on period + if (state.healthPeriod === 'day') { + state.currentDate.setDate(state.currentDate.getDate() + delta); + } else if (state.healthPeriod === 'week') { + state.currentDate.setDate(state.currentDate.getDate() + (delta * 7)); + } else if (state.healthPeriod === 'month') { + state.currentDate.setMonth(state.currentDate.getMonth() + delta); + } + + updateDateDisplay(); + loadHealthData(state.healthPeriod); + + // Update workout views with new date + switchPeriodViews(state.healthPeriod); +} + +function updateDateDisplay() { + const disp = document.getElementById('date-display-text'); + if (!disp) return; + + const dt = state.currentDate; + const optionsShort = { month: 'short', day: 'numeric' }; + const optionsYear = { month: 'long', year: 'numeric' }; + + let text = ""; + + // Check if today + const today = new Date(); + const isToday = dt.toDateString() === today.toDateString(); + + if (state.healthPeriod === 'day') { + if (isToday) text = "Today"; + else text = dt.toLocaleDateString(undefined, { weekday: 'short', month: 'short', day: 'numeric' }); + } else if (state.healthPeriod === 'week') { + // Week ending on dt + const start = new Date(dt); + start.setDate(dt.getDate() - 6); + + // Format: "Dec 22 - Dec 28" + const sStr = start.toLocaleDateString(undefined, optionsShort); + const eStr = dt.toLocaleDateString(undefined, optionsShort); + text = `${sStr} - ${eStr}`; + } else if (state.healthPeriod === 'month') { + // Just Month Year? Or "Last 30 Days"? + // Backend logic is "Last 30 Days" ending on Date. + // It's cleaner to show "Ending Dec 29" for rolling window, or just the date range. + // Given typically users expect "Month" to be calendar month, but we implemented rolling. + // Let's show range for clarity. + const start = new Date(dt); + start.setDate(dt.getDate() - 29); + const sStr = start.toLocaleDateString(undefined, optionsShort); + const eStr = dt.toLocaleDateString(undefined, optionsShort); + text = `${sStr} - ${eStr}`; + } + + disp.innerText = text; +} + +// ===== DATE PICKER MODAL ===== +function initDatePickerModal() { + const modal = document.getElementById('date-picker-modal'); + const dateDisplayBtn = document.getElementById('date-display'); + const closeBtn = document.getElementById('close-date-picker-btn'); + const backdrop = document.getElementById('date-picker-backdrop'); + + // Single date elements + const customDateInput = document.getElementById('custom-date-input'); + const singleDateView = document.getElementById('single-date-view'); + const singleDateToggle = document.getElementById('single-date-toggle'); + + // Date range elements + const dateRangeView = document.getElementById('date-range-view'); + const dateRangeToggle = document.getElementById('date-range-toggle'); + const customStartDate = document.getElementById('custom-start-date'); + const customEndDate = document.getElementById('custom-end-date'); + const periodInfo = document.getElementById('period-info'); + const periodInfoText = document.getElementById('period-info-text'); + + const applyCustomBtn = document.getElementById('apply-custom-date-btn'); + const applyBtnText = document.getElementById('apply-btn-text'); + const presetBtns = document.querySelectorAll('.preset-btn'); + + if (!modal || !dateDisplayBtn) return; + + let isRangeMode = false; + + // Open modal + dateDisplayBtn.addEventListener('click', () => { + toggleModal(modal, true); + // Set custom date input to current date + if (customDateInput && state.currentDate) { + customDateInput.value = state.currentDate.toISOString().split('T')[0]; + } + if (customStartDate && customEndDate && state.currentDate) { + const endDate = state.currentDate.toISOString().split('T')[0]; + customEndDate.value = endDate; + + // Set start date based on current period + const start = new Date(state.currentDate); + if (state.healthPeriod === 'week') { + start.setDate(start.getDate() - 6); + } else if (state.healthPeriod === 'month') { + start.setDate(start.getDate() - 29); + } else { + start.setDate(start.getDate() - 6); // Default to week + } + customStartDate.value = start.toISOString().split('T')[0]; + } + }); + + // Close modal + const closeModal = () => toggleModal(modal, false); + if (closeBtn) closeBtn.addEventListener('click', closeModal); + if (backdrop) backdrop.addEventListener('click', closeModal); + + // Toggle between single date and date range + if (singleDateToggle) { + singleDateToggle.addEventListener('click', () => { + isRangeMode = false; + singleDateView.classList.remove('hidden'); + dateRangeView.classList.add('hidden'); + + // Update toggle buttons + singleDateToggle.classList.add('bg-white', 'dark:bg-gray-700', 'shadow-sm', 'text-brand-600', 'dark:text-brand-400'); + singleDateToggle.classList.remove('text-gray-500', 'dark:text-gray-400'); + dateRangeToggle.classList.remove('bg-white', 'dark:bg-gray-700', 'shadow-sm', 'text-brand-600', 'dark:text-brand-400'); + dateRangeToggle.classList.add('text-gray-500', 'dark:text-gray-400'); + + // Update button text + applyBtnText.textContent = 'Apply Custom Date'; + }); + } + + if (dateRangeToggle) { + dateRangeToggle.addEventListener('click', () => { + isRangeMode = true; + singleDateView.classList.add('hidden'); + dateRangeView.classList.remove('hidden'); + + // Update toggle buttons + dateRangeToggle.classList.add('bg-white', 'dark:bg-gray-700', 'shadow-sm', 'text-brand-600', 'dark:text-brand-400'); + dateRangeToggle.classList.remove('text-gray-500', 'dark:text-gray-400'); + singleDateToggle.classList.remove('bg-white', 'dark:bg-gray-700', 'shadow-sm', 'text-brand-600', 'dark:text-brand-400'); + singleDateToggle.classList.add('text-gray-500', 'dark:text-gray-400'); + + // Update button text + applyBtnText.textContent = 'Apply Date Range'; + + // Update period info if dates are set + updatePeriodInfo(); + }); + } + + // Update period info when dates change + if (customStartDate) { + customStartDate.addEventListener('change', updatePeriodInfo); + } + if (customEndDate) { + customEndDate.addEventListener('change', updatePeriodInfo); + } + + function updatePeriodInfo() { + if (!customStartDate.value || !customEndDate.value) { + periodInfo.classList.add('hidden'); + return; + } + + const start = new Date(customStartDate.value); + const end = new Date(customEndDate.value); + + // Validate dates + if (end < start) { + periodInfoText.textContent = '⚠ End date must be after start date'; + periodInfo.classList.remove('hidden'); + periodInfo.classList.remove('bg-brand-50', 'dark:bg-brand-900/20', 'border-brand-200', 'dark:border-brand-800'); + periodInfo.classList.add('bg-red-50', 'dark:bg-red-900/20', 'border-red-200', 'dark:border-red-800'); + return; + } + + // Calculate days + const diffTime = Math.abs(end - start); + const diffDays = Math.ceil(diffTime / (1000 * 60 * 60 * 24)) + 1; // +1 to include both start and end + + // Determine view mode + let viewMode = ''; + let icon = ''; + if (diffDays === 1) { + viewMode = 'Day View'; + icon = '📅'; + } else if (diffDays <= 7) { + viewMode = 'Week View'; + icon = '📊'; + } else { + viewMode = 'Month View'; + icon = '📈'; + } + + periodInfoText.textContent = `${icon} ${diffDays} day${diffDays > 1 ? 's' : ''} selected → ${viewMode}`; + periodInfo.classList.remove('hidden', 'bg-red-50', 'dark:bg-red-900/20', 'border-red-200', 'dark:border-red-800'); + periodInfo.classList.add('bg-brand-50', 'dark:bg-brand-900/20', 'border-brand-200', 'dark:border-brand-800'); + } + + // Preset buttons + presetBtns.forEach(btn => { + btn.addEventListener('click', () => { + const preset = btn.dataset.preset; + applyPreset(preset); + closeModal(); + }); + }); + + // Custom date/range apply + if (applyCustomBtn) { + applyCustomBtn.addEventListener('click', () => { + if (isRangeMode) { + // Date range mode + if (!customStartDate.value || !customEndDate.value) { + showToast('Please select both start and end dates', 'error'); + return; + } + + const start = new Date(customStartDate.value + 'T12:00:00'); + const end = new Date(customEndDate.value + 'T12:00:00'); + + if (end < start) { + showToast('End date must be after start date', 'error'); + return; + } + + // Calculate period length + const diffTime = Math.abs(end - start); + const diffDays = Math.ceil(diffTime / (1000 * 60 * 60 * 24)) + 1; + + // Set the end date as current date + state.currentDate = end; + + // Determine and set period based on days + if (diffDays === 1) { + state.healthPeriod = 'day'; + } else if (diffDays <= 7) { + state.healthPeriod = 'week'; + } else { + state.healthPeriod = 'month'; + } + + updateTimeframeButtons(state.healthPeriod); + updateDateDisplay(); + loadHealthData(state.healthPeriod); + switchPeriodViews(state.healthPeriod); + closeModal(); + + showToast(`Viewing ${diffDays} day${diffDays > 1 ? 's' : ''} of data`, 'success'); + } else { + // Single date mode + const selectedDate = customDateInput.value; + if (selectedDate) { + state.currentDate = new Date(selectedDate + 'T12:00:00'); + state.healthPeriod = 'day'; + updateTimeframeButtons('day'); + updateDateDisplay(); + loadHealthData(state.healthPeriod); + switchPeriodViews(state.healthPeriod); + closeModal(); + } + } + }); + } +} + + +function applyPreset(preset) { + const today = new Date(); + let targetDate = new Date(); + + switch (preset) { + case 'today': + targetDate = today; + break; + case 'yesterday': + targetDate.setDate(today.getDate() - 1); + break; + case 'this-week': + // Set to end of current week (Sunday or today if before Sunday) + const dayOfWeek = today.getDay(); + const daysUntilSunday = dayOfWeek === 0 ? 0 : 7 - dayOfWeek; + targetDate.setDate(today.getDate() + daysUntilSunday); + // Switch to week view + state.healthPeriod = 'week'; + updateTimeframeButtons('week'); + break; + case 'last-week': + // Set to last Sunday + const lastSunday = new Date(today); + lastSunday.setDate(today.getDate() - today.getDay()); + targetDate = lastSunday; + // Switch to week view + state.healthPeriod = 'week'; + updateTimeframeButtons('week'); + break; + case 'this-month': + // Set to end of current month + targetDate = new Date(today.getFullYear(), today.getMonth() + 1, 0); + // Switch to month view + state.healthPeriod = 'month'; + updateTimeframeButtons('month'); + break; + case 'last-30-days': + targetDate = today; + // Switch to month view + state.healthPeriod = 'month'; + updateTimeframeButtons('month'); + break; + } + + state.currentDate = targetDate; + updateDateDisplay(); + loadHealthData(state.healthPeriod); + switchPeriodViews(state.healthPeriod); +} + +function updateTimeframeButtons(period) { + const timeframeBtns = document.querySelectorAll('.timeframe-btn'); + timeframeBtns.forEach(btn => { + btn.classList.remove('bg-white', 'dark:bg-gray-700', 'shadow-sm', 'text-brand-600', 'dark:text-brand-400'); + btn.classList.add('text-gray-500', 'dark:text-gray-400'); + + if (btn.dataset.period === period) { + btn.classList.add('bg-white', 'dark:bg-gray-700', 'shadow-sm', 'text-brand-600', 'dark:text-brand-400'); + btn.classList.remove('text-gray-500', 'dark:text-gray-400'); + } + }); +} + + +function renderHealthDashboard(data, period) { + if (!data || data.length === 0) { + // Clear/Reset UI to avoid stale data + const safeSetText = (id, val) => { const el = document.getElementById(id); if (el) el.innerText = val; }; + const safeSetHtml = (id, val) => { const el = document.getElementById(id); if (el) el.innerHTML = val; }; + + safeSetText('ring-steps', '--'); + safeSetText('ring-cals', '--'); + safeSetText('val-pai-ring', '--'); + safeSetHtml('overview-hr', `-- bpm`); + safeSetText('overview-sleep-dur', '--h --m'); + safeSetText('overview-sleep-score', '--'); + safeSetText('val-deep-overview', '--'); + safeSetText('val-rem-overview', '--'); + safeSetText('val-light-overview', '--'); + ['sleep-bar-deep', 'sleep-bar-rem', 'sleep-bar-light'].forEach(id => { + const el = document.getElementById(id); + if (el) el.style.width = '0%'; + }); + safeSetText('val-weight', '-- kg'); + safeSetText('val-weight-gauge', '--'); + safeSetText('val-bmi', '--'); + safeSetText('val-bmi-gauge', '--'); + safeSetText('readiness-score', '--'); + safeSetText('val-rhr', '--'); + safeSetText('val-hrv', '--'); + + // Clear Charts + if (state.charts.health.rings) { state.charts.health.rings.destroy(); state.charts.health.rings = null; } + if (state.charts.health.hrMini) { state.charts.health.hrMini.destroy(); state.charts.health.hrMini = null; } + + return; + } + + // --- Calcs --- + const latest = data[data.length - 1]; // Latest day + let avgHr = 0, avgSteps = 0, avgSleep = 0, avgPai = 0, avgRhr = 0, avgHrv = 0; + + // Averages over the period + const count = data.length; + data.forEach(d => { + avgHr += d.avg_heart_rate || 0; + avgSteps += d.step_count || 0; + avgSleep += d.sleep_duration_minutes || 0; + avgPai += d.pai_score || 0; + avgRhr += d.resting_heart_rate || 0; + avgHrv += d.hrv || 0; + }); + + avgHr = Math.round(avgHr / count); + avgSteps = Math.round(avgSteps / count); + avgSleep = Math.round(avgSleep / count); + avgPai = (avgPai / count).toFixed(1); + avgRhr = Math.round(avgRhr / count); + avgHrv = Math.round(avgHrv / count); + + // --- Tab: Overview --- + // Rings + renderRingsChart(avgSteps, avgPai, 500); // 500 active cals goal placeholder + document.getElementById('ring-steps').innerText = latest.step_count?.toLocaleString() || '--'; + document.getElementById('ring-cals').innerText = Math.round(latest.calories_burned || 0); + document.getElementById('val-pai-ring').innerText = Math.round(latest.pai_score || 0); + + // Mini HR Chart + document.getElementById('overview-hr').innerHTML = `${latest.avg_heart_rate || '--'} bpm`; + renderMiniHrChart(data); + + // Sleep Summary + const sh = Math.floor((latest.sleep_duration_minutes || 0) / 60); + const sm = (latest.sleep_duration_minutes || 0) % 60; + document.getElementById('overview-sleep-dur').innerText = `${sh}h ${sm}m`; + document.getElementById('overview-sleep-score').innerText = calculateSleepScore(latest); + + // Sleep Stages + const deepMin = latest.deep_sleep_minutes || 0; + const remMin = latest.rem_sleep_minutes || 0; + const lightMin = latest.light_sleep_minutes || 0; + + const fmtTime = (min) => { + const h = Math.floor(min / 60); + const m = min % 60; + return h > 0 ? `${h}h ${m}m` : `${m}m`; + }; + + const safeSetText = (id, val) => { const el = document.getElementById(id); if (el) el.innerText = val; }; + safeSetText('val-deep-overview', fmtTime(deepMin)); + safeSetText('val-rem-overview', fmtTime(remMin)); + safeSetText('val-light-overview', fmtTime(lightMin)); + + // Stacked Bar (Goal: 8 hours) + const sleepGoal = 8 * 60; + const deepPct = Math.min(100, (deepMin / sleepGoal) * 100); + const remPct = Math.min(100, (remMin / sleepGoal) * 100); + const lightPct = Math.min(100, (lightMin / sleepGoal) * 100); + + const setWidth = (id, pct) => { + const el = document.getElementById(id); + if (el) el.style.width = `${pct}%`; + }; + setWidth('sleep-bar-deep', deepPct); + setWidth('sleep-bar-rem', remPct); + setWidth('sleep-bar-light', lightPct); + + // Metrics Row - Update both old and new gauge widgets + // IMPORTANT: Search for latest valid weight in ALL data, not just latest entry + const heightM = 1.75; // Default height for BMI calculation + + // Process all data to add normalized weight and BMI + const dataWithBMI = data.map(d => { + const w = d.weight || d.weight_kg; + return { + ...d, + weight_norm: w, + bmi: w ? (w / (heightM * heightM)) : null + }; + }); + + // Find the LATEST entry that has a valid weight (searching backwards) + const reversedData = [...dataWithBMI].reverse(); + const latestWithWeight = reversedData.find(d => d.weight_norm && d.weight_norm > 0); + + if (latestWithWeight) { + const weightVal = latestWithWeight.weight_norm; + const bmi = latestWithWeight.bmi; + + // Update text displays + const weightEl = document.getElementById('val-weight'); + const bmiEl = document.getElementById('val-bmi'); + if (weightEl) weightEl.innerText = `${weightVal.toFixed(1)} kg`; + if (bmiEl) bmiEl.innerText = bmi.toFixed(1); + + // Initialize gauges with the latest valid data + initializeMetricGauges(dataWithBMI, latestWithWeight); + } else { + // No weight data found at all + const weightEl = document.getElementById('val-weight'); + const bmiEl = document.getElementById('val-bmi'); + if (weightEl) weightEl.innerText = '-- kg'; + if (bmiEl) bmiEl.innerText = '--'; + + // Reset gauges display + const weightGaugeEl = document.getElementById('val-weight-gauge'); + const bmiGaugeEl = document.getElementById('val-bmi-gauge'); + if (weightGaugeEl) weightGaugeEl.innerText = '--'; + if (bmiGaugeEl) bmiGaugeEl.innerText = '--'; + } + + // --- Tab: Readiness --- + updateReadinessUI(latest, data); + + renderRhrChart(data); + renderHrvChart(data); + + + // --- Tab: Sleep --- + // Total Sleep Duration + const total = latest.sleep_duration_minutes || 0; + const totalH = Math.floor(total / 60); + const totalM = total % 60; + document.getElementById('sleep-day-total').innerText = `${totalH}h ${totalM}m`; + + // Deep/Light/REM + const dH = Math.floor((latest.deep_sleep_minutes || 0) / 60); + const dM = (latest.deep_sleep_minutes || 0) % 60; + document.getElementById('val-deep').innerText = `${dH}h ${dM}m`; + + // We don't have REM/Light separated in Zepp import perfectly yet? + // We have deep and awake. Total - Deep - Awake = Light+REM. + const awake = latest.awake_duration_minutes || 0; + document.getElementById('val-light').innerText = `${Math.floor((latest.light_sleep_minutes || 0) / 60)}h ${(latest.light_sleep_minutes || 0) % 60}m`; + document.getElementById('val-rem').innerText = `${Math.floor((latest.rem_sleep_minutes || 0) / 60)}h ${(latest.rem_sleep_minutes || 0) % 60}m`; + document.getElementById('val-awake').innerText = `${latest.awake_duration_minutes || 0}m`; + + document.getElementById('val-sleep-hr').innerText = latest.sleep_heart_rate || '--'; + + // Sleep Quality & Efficiency + const sleepScore = calculateSleepScore(latest); + const scoreEl = document.getElementById('sleep-quality-score'); + if (scoreEl) scoreEl.innerText = sleepScore; + + const efficiency = total + awake > 0 ? Math.round((total / (total + awake)) * 100) : '--'; + const cellEff = document.getElementById('sleep-efficiency'); + if (cellEff) cellEff.innerText = `${efficiency}%`; + + // Bedtime / Wake + if (latest.bedtime) { + const bt = new Date(latest.bedtime); + document.getElementById('sleep-start-time').innerText = `Bedtime: ${bt.getHours()}:${bt.getMinutes().toString().padStart(2, '0')}`; + } else { + document.getElementById('sleep-start-time').innerText = `Bedtime: --:--`; + } + + if (latest.wake_time) { + const wt = new Date(latest.wake_time); + document.getElementById('sleep-end-time').innerText = `Wake: ${wt.getHours()}:${wt.getMinutes().toString().padStart(2, '0')}`; + } else { + document.getElementById('sleep-end-time').innerText = `Wake: --:--`; + } + + renderHypnogram(latest); + + + + // --- Tab: Exertion --- + document.getElementById('val-exertion-pai').innerText = Math.round(latest.pai_score || 0); + renderExertionChart(data); + + // --- Period-Specific Rendering --- + // Transform data for period views (expects daily array format) + const dailyData = data.map(d => ({ + date: d.date, + steps: d.step_count || 0, + calories: d.calories_burned || 0, + pai: d.pai_score || 0, + sleep_duration: d.sleep_duration_minutes || 0, + resting_hr: d.resting_heart_rate || 0, + avg_hr: d.avg_heart_rate || 0, + hrv: d.hrv || 0, + deep_sleep: d.deep_sleep_minutes || 0, + light_sleep: d.light_sleep_minutes || 0, + rem_sleep: d.rem_sleep_minutes || 0, + awake: d.awake_duration_minutes || 0, + bedtime: d.bedtime, + wake_time: d.wake_time + })); + + if (period === 'week' && dailyData.length > 0) { + renderWeekOverview({ daily: dailyData }); + renderSleepWeek(dailyData); + } else if (period === 'month' && dailyData.length > 0) { + renderMonthOverview({ daily: dailyData }); + renderSleepMonth(dailyData); + } + + // Update HR min/max/avg for day view + if (period === 'day' && latest) { + const hrMinEl = document.getElementById('hr-min-day'); + const hrAvgEl = document.getElementById('hr-avg-day'); + const hrMaxEl = document.getElementById('hr-max-day'); + if (hrMinEl) hrMinEl.innerText = latest.min_heart_rate || '--'; + if (hrAvgEl) hrAvgEl.innerText = latest.avg_heart_rate || '--'; + if (hrMaxEl) hrMaxEl.innerText = latest.max_heart_rate || '--'; + + // Update distance in ring + const distEl = document.getElementById('ring-distance'); + if (distEl) distEl.innerText = `${((latest.distance_meters || 0) / 1000).toFixed(1)} km`; + } + + // --- Tab: Workouts Update --- + if (period === 'month') { + renderWorkoutsMonth(); + } else if (period === 'week') { + renderWorkoutsWeek(); + } else { + renderWorkoutsDay(); + } +} + +function calculateSleepScore(data) { + if (!data.sleep_duration_minutes) return '--'; + let score = 50; // Base score + + // Duration (Goal: 7-9 hours) + const hours = data.sleep_duration_minutes / 60; + if (hours >= 7 && hours <= 9) score += 25; + else if (hours >= 6) score += 15; + else if (hours > 4) score += 5; + + // Deep Sleep (Goal: ~20% of total) + const deepPct = (data.deep_sleep_minutes / data.sleep_duration_minutes) * 100; + if (deepPct >= 15 && deepPct <= 25) score += 15; + else if (deepPct > 10) score += 10; + + // Consistency (Time of bed) + if (data.bedtime) { + const bt = new Date(data.bedtime); + const hour = bt.getHours(); + // Bedtime between 10pm and 12am is usually "better" for circadian rhythm + if (hour >= 21 || hour <= 0) score += 10; + } + + // Awake time penalty + if (data.awake_duration_minutes > 60) score -= 10; + else if (data.awake_duration_minutes > 30) score -= 5; + + return Math.min(100, Math.max(0, Math.round(score))); +} + +// --- Readiness Logic --- +function calculateReadiness(data) { + if (!data) return { score: 0, factors: [] }; + + let score = 70; // Base score + const factors = []; + + // 1. Sleep Factor (Max +/- 20) + // Goal: 7-9 hours + const sleepHrs = (data.sleep_duration_minutes || 0) / 60; + if (sleepHrs >= 7) { + score += 15; + factors.push({ label: 'Good sleep duration (7h+)', type: 'good' }); + } else if (sleepHrs >= 6) { + score += 5; + factors.push({ label: 'Moderate sleep duration', type: 'neutral' }); + } else { + score -= 15; + factors.push({ label: 'Poor sleep duration (<6h)', type: 'bad' }); + } + + // 2. Resting HR Factor (Max +/- 15) + // Baseline assumption: 60bpm. Lower is better. + const rhr = data.resting_heart_rate; + if (rhr) { + if (rhr <= 60) { + score += 15; + factors.push({ label: 'Optimal resting heart rate', type: 'good' }); + } else if (rhr <= 70) { + // Neutral + } else { + score -= 10; + factors.push({ label: 'Elevated resting heart rate', type: 'bad' }); + } + } + + // 3. HRV Factor (Max +/- 15) + // Baseline assumption: 40ms. Higher is better. + const hrv = data.hrv; + if (hrv) { + if (hrv >= 50) { + score += 15; + factors.push({ label: 'High HRV (Recovery)', type: 'good' }); + } else if (hrv >= 30) { + // Neutral + } else { + score -= 10; + factors.push({ label: 'Low HRV (Stress)', type: 'bad' }); + } + } else { + // No HRV data - neutral + factors.push({ label: 'No HRV data available', type: 'neutral' }); + } + + return { + score: Math.min(100, Math.max(0, score)), + factors + }; +} + +function updateReadinessUI(latest, allData) { + const { score, factors } = calculateReadiness(latest); + + // 1. Update Score & Ring + document.getElementById('readiness-score').innerText = score; + const ring = document.getElementById('readiness-ring'); + if (ring) { + // Circumference approx 440 + const offset = 440 - (440 * (score / 100)); + ring.style.strokeDashoffset = offset; + + // Color based on score + ring.classList.remove('text-green-500', 'text-yellow-500', 'text-orange-500', 'text-red-500'); + if (score >= 85) ring.classList.add('text-green-500'); + else if (score >= 70) ring.classList.add('text-green-400'); + else if (score >= 50) ring.classList.add('text-yellow-500'); + else ring.classList.add('text-red-500'); + } + + // 2. Update Text + const textEl = document.getElementById('readiness-text'); + if (textEl) { + if (score >= 85) { + textEl.innerHTML = `Your physical recovery is excellent. You are ready for high intensity training.`; + } else if (score >= 70) { + textEl.innerHTML = `You are well recovered. Ready for normal training load.`; + } else if (score >= 50) { + textEl.innerHTML = `Recovery is moderate. Consider a lighter training session.`; + } else { + textEl.innerHTML = `Your body needs rest. Focus on active recovery today.`; + } + } + + // 3. Update Factors List + const factorsContainer = document.getElementById('readiness-factors'); + if (factorsContainer) { + factorsContainer.innerHTML = factors.map(f => { + let icon, color, bg; + if (f.type === 'good') { + icon = 'fa-check-circle text-green-500'; + bg = 'bg-green-50 dark:bg-green-900/20'; + } else if (f.type === 'bad') { + icon = 'fa-exclamation-circle text-red-500'; + bg = 'bg-red-50 dark:bg-red-900/20'; + } else { + icon = 'fa-minus-circle text-yellow-500'; + bg = 'bg-yellow-50 dark:bg-yellow-900/20'; + } + + return ` +
+ + ${f.label} +
`; + }).join(''); + } + + // 4. Update Metrics (RHR/HRV) + const rhrVal = latest.resting_heart_rate || '--'; + const hrvVal = latest.hrv ? Math.round(latest.hrv) : '--'; + + document.getElementById('val-rhr').innerText = rhrVal; + document.getElementById('val-hrv').innerText = hrvVal; +} + +// --- Chart Rendering Functions --- +// Common options +const commonChartOptions = (isDark) => ({ + responsive: true, + maintainAspectRatio: false, + scales: { + x: { display: false }, + y: { display: false } + }, + plugins: { legend: { display: false }, tooltip: { enabled: true } }, + elements: { point: { radius: 0, hitRadius: 10 } } +}); + +function renderRingsChart(steps, pai, cals) { + const ctx = document.getElementById('chart-rings').getContext('2d'); + if (state.charts.health.rings) state.charts.health.rings.destroy(); + + // Doughnut chart with multiple datasets (rings) + state.charts.health.rings = new Chart(ctx, { + type: 'doughnut', + data: { + labels: ['Steps', 'PAI', 'Calories'], + datasets: [ + { + data: [steps, 10000 - steps], // Steps (Goal 10k) + backgroundColor: ['#3b82f6', '#1e293b'], + borderWidth: 0, + circumference: 360, + rotation: 0 + }, + { + data: [pai, 100 - pai], // PAI (Goal 100) + backgroundColor: ['#f97316', '#1e293b'], + borderWidth: 0, + circumference: 360, + rotation: 0 + }, + { + data: [cals, 500 - cals], // Cals (Goal 500) + backgroundColor: ['#10b981', '#1e293b'], + borderWidth: 0, + circumference: 360, + rotation: 0 + } + ] + }, + options: { + responsive: true, + cutout: '60%', // Thickness + maintainAspectRatio: false, + plugins: { legend: { display: false }, tooltip: { enabled: false } }, + animation: { animateScale: true, animateRotate: true } + } + }); + // Chart.js standard doughnut doesn't do concentric rings easily without plugin. + // For MVP, single ring for PAI or simplify. + // Let's do a simple implementation: Just one ring for main metric (Steps) or PAI. + // Re-doing as Single Ring PAI for simplicity in this iteration to ensure it looks good. + state.charts.health.rings.destroy(); + + state.charts.health.rings = new Chart(ctx, { + type: 'doughnut', + data: { + labels: ['PAI', 'Remaining'], + datasets: [{ + data: [pai, Math.max(0, 100 - pai)], + backgroundColor: ['#f97316', '#f3f4f6'], + borderColor: ['#f97316', 'transparent'], + borderWidth: 0, + borderRadius: 20 + }] + }, + options: { + responsive: true, + cutout: '80%', + maintainAspectRatio: false, + plugins: { legend: { display: false }, tooltip: { enabled: false } } + } + }); +} + +function renderMiniHrChart(data) { + const ctx = document.getElementById('chart-mini-hr').getContext('2d'); + if (state.charts.health.miniHr) state.charts.health.miniHr.destroy(); + + const hrData = data.map(d => d.avg_heart_rate); + const labels = data.map(d => d.date); + const isDark = document.documentElement.classList.contains('dark'); + + // Calc min/max for scale to avoid floating line + const validHr = hrData.filter(v => v); + const minVal = validHr.length ? Math.min(...validHr) : 0; + const maxVal = validHr.length ? Math.max(...validHr) : 100; + const padding = 5; + + state.charts.health.miniHr = new Chart(ctx, { + type: 'line', + data: { + labels: labels, + datasets: [{ + data: hrData, + borderColor: '#ef4444', + borderWidth: 2, + tension: 0.4, + pointRadius: 0 + }] + }, + options: { + responsive: true, + maintainAspectRatio: false, + scales: { + x: { display: false }, + y: { display: false, min: Math.max(0, minVal - padding), max: maxVal + padding } + }, + plugins: { legend: { display: false } } + } + }); +} +function renderRhrChart(data) { + if (!data || data.length === 0) return; + + const ctx = document.getElementById('chart-rhr'); + if (!ctx) return; + + const context = ctx.getContext('2d'); + if (state.charts.health.rhr) state.charts.health.rhr.destroy(); + + state.charts.health.rhr = new Chart(context, { + type: 'line', + data: { + labels: data.map(d => d.date), + datasets: [{ + data: data.map(d => d.resting_heart_rate || null), + borderColor: '#10b981', + borderWidth: 2, + tension: 0.4, + pointRadius: 2 + }] + }, + options: { ...commonChartOptions(), scales: { x: { display: false }, y: { display: false } } } + }); +} + +function renderHrvChart(data) { + if (!data || data.length === 0) return; + + const ctx = document.getElementById('chart-hrv'); + if (!ctx) return; + + const context = ctx.getContext('2d'); + if (state.charts.health.hrv) state.charts.health.hrv.destroy(); + + state.charts.health.hrv = new Chart(context, { + type: 'bar', + data: { + labels: data.map(d => d.date), + datasets: [{ + data: data.map(d => d.hrv || null), + backgroundColor: '#3b82f6', + borderRadius: 2 + }] + }, + options: { ...commonChartOptions(), scales: { x: { display: false }, y: { display: false } } } + }); +} + +function renderHypnogram(dayData) { + // Safety check + if (!dayData) { + console.warn('renderHypnogram: No data provided'); + return; + } + + const ctx = document.getElementById('chart-hypnogram'); + if (!ctx) return; + + const context = ctx.getContext('2d'); + if (state.charts.health.hypno) state.charts.health.hypno.destroy(); + + // Since we don't have time-series stages, we visualize composition as a stacked bar + const placeholder = document.getElementById('hypno-placeholder'); + if (placeholder) placeholder.style.display = 'none'; + + // Mock discrete blocks for "Hypnogram" feel if we don't have real trace + // Or just simple stacked bar. Stacked horizontal bar looks like a timeline. + const deep = dayData.deep_sleep_minutes || 0; + const light = dayData.light_sleep_minutes || 0; + const rem = dayData.rem_sleep_minutes || 0; + const awake = dayData.awake_duration_minutes || 0; + + state.charts.health.hypno = new Chart(context, { + type: 'doughnut', + data: { + labels: ['Deep', 'Light', 'REM', 'Awake'], + datasets: [ + { + data: [deep, light, rem, awake], + backgroundColor: ['#9333ea', '#60a5fa', '#facc15', '#d1d5db'], + borderWidth: 0, + hoverOffset: 10 + } + ] + }, + options: { + responsive: true, + maintainAspectRatio: false, + cutout: '70%', + plugins: { + legend: { display: false } // We have custom legend below + } + } + }); +} + +function renderExertionChart(data) { + if (!data || data.length === 0) { + console.warn('renderExertionChart: No data provided'); + return; + } + + const ctx = document.getElementById('chart-exertion'); + if (!ctx) return; + + const context = ctx.getContext('2d'); + if (state.charts.health.exertion) state.charts.health.exertion.destroy(); + + const todayStr = state.currentDate ? state.currentDate.toISOString().split('T')[0] : new Date().toISOString().split('T')[0]; + const colors = data.map(d => d.date === todayStr ? '#ffdbcb' : '#f97316'); // Highlight today with lighter orange/whiteish + + state.charts.health.exertion = new Chart(context, { + type: 'bar', + data: { + labels: data.map(d => new Date(d.date).toLocaleDateString('en-US', { weekday: 'short' })), + datasets: [{ + label: 'PAI', + data: data.map(d => d.pai_score), + backgroundColor: colors, + borderRadius: 4 + }] + }, + options: { + responsive: true, + maintainAspectRatio: false, + scales: { + x: { grid: { display: false } }, + y: { + grid: { color: document.documentElement.classList.contains('dark') ? '#374151' : '#e5e7eb' }, + title: { display: true, text: 'Score' } + } + }, + plugins: { legend: { display: false } } + } + }); +} + +// --- Toast Notification --- +function showToast(message, type = 'success') { + const container = document.getElementById('toast-container'); + if (!container) return; + + // Icon logic + let iconHtml = ''; + let colorClass = ''; + + if (type === 'success') { + colorClass = 'text-green-500 bg-green-100 dark:bg-green-800/30 dark:text-green-400'; + iconHtml = ''; + } else if (type === 'error') { + colorClass = 'text-red-500 bg-red-100 dark:bg-red-800/30 dark:text-red-400'; + iconHtml = ''; + } else { + colorClass = 'text-blue-500 bg-blue-100 dark:bg-blue-800/30 dark:text-blue-400'; + iconHtml = ''; + } + + const toast = document.createElement('div'); + toast.className = 'pointer-events-auto flex items-center w-full max-w-sm p-4 text-gray-500 bg-white rounded-xl shadow-lg dark:text-gray-300 dark:bg-gray-800 border border-gray-100 dark:border-gray-700 transform transition-all duration-300 translate-x-full opacity-0'; + + toast.innerHTML = ` +
+ ${iconHtml} +
+
${message}
+ + `; + + // Close button logic + const closeBtn = toast.querySelector('button'); + closeBtn.addEventListener('click', () => removeToast(toast)); + + container.appendChild(toast); + + // Animate In + requestAnimationFrame(() => { + toast.classList.remove('translate-x-full', 'opacity-0'); + }); + + // Auto dismiss + setTimeout(() => { + removeToast(toast); + }, 5000); +} + +function removeToast(el) { + el.classList.add('translate-x-full', 'opacity-0'); + // Remove after transition + setTimeout(() => { + if (el.parentNode) el.parentNode.removeChild(el); + }, 300); +} + +// --- Metric Gauges & Details Modal --- + +// State for metric details +const metricState = { + currentMetric: 'weight', + currentPeriod: 'recent', + referenceDate: null, // Will be initialized on open + historyChart: null, + gaugeWeight: null, + gaugeBMI: null +}; + +// Create semi-circular gauge +function createGauge(canvasId, value, min, max, colorStops) { + const canvas = document.getElementById(canvasId); + if (!canvas) return null; + + const ctx = canvas.getContext('2d'); + const dpr = window.devicePixelRatio || 1; + const rect = canvas.getBoundingClientRect(); + if (rect.width <= 0 || rect.height <= 0) return null; + + // Set internal size to match physical pixels + canvas.width = rect.width * dpr; + canvas.height = rect.height * dpr; + + const width = canvas.width; + const height = canvas.height; + + const centerX = width / 2; + // Position the arc in the upper portion to leave space for text below + const centerY = height * 0.65; // Move center down slightly (was height - 10*dpr) + const radius = Math.max(0, Math.min(width / 2, height * 0.65) - (20 * dpr)); + + // Clear + ctx.clearRect(0, 0, width, height); + + // Background arc + ctx.beginPath(); + ctx.arc(centerX, centerY, radius, Math.PI, 2 * Math.PI, false); + ctx.lineWidth = 12 * dpr; + ctx.strokeStyle = '#1f2937'; + ctx.lineCap = 'round'; + ctx.stroke(); + + // Create gradient for colored arc + const gradient = ctx.createLinearGradient(centerX - radius, centerY, centerX + radius, centerY); + colorStops.forEach(stop => { + gradient.addColorStop(stop.offset, stop.color); + }); + + // Calculate angle based on value + const percentage = Math.min(Math.max((value - min) / (max - min), 0), 1); + const angle = Math.PI + (percentage * Math.PI); + + // Colored arc + ctx.beginPath(); + ctx.arc(centerX, centerY, radius, Math.PI, angle, false); + ctx.lineWidth = 12 * dpr; + ctx.strokeStyle = gradient; + ctx.lineCap = 'round'; + ctx.stroke(); + + // Indicator (Diamond/Needle) + const indicatorAngle = angle; + const innerR = radius - (15 * dpr); + const outerR = radius + (15 * dpr); + + const x1 = centerX + Math.cos(indicatorAngle) * innerR; + const y1 = centerY + Math.sin(indicatorAngle) * innerR; + const x2 = centerX + Math.cos(indicatorAngle) * outerR; + const y2 = centerY + Math.sin(indicatorAngle) * outerR; + + ctx.beginPath(); + ctx.moveTo(x1, y1); + ctx.lineTo(x2, y2); + ctx.lineWidth = 4 * dpr; + ctx.strokeStyle = '#ffffff'; + ctx.lineCap = 'round'; + ctx.stroke(); + + // Outer point + ctx.beginPath(); + ctx.arc(x2, y2, 4 * dpr, 0, Math.PI * 2); + ctx.fillStyle = '#ffffff'; + ctx.fill(); + + return { canvas, ctx, value, min, max }; +} + +// Initialize gauges when health data is loaded +function initializeMetricGauges(data, specificLatest = null) { + if (!data || data.length === 0) return; + + const latest = specificLatest || data[data.length - 1]; + + // Weight gauge (assuming range 100-200 lbs) + const weightVal = latest.weight_norm || latest.weight || latest.weight_kg; + if (weightVal) { + const weightLbs = (weightVal * 2.20462).toFixed(1); + // Vibrant color gradient: Cyan -> Green -> Yellow -> Red + const colorStops = [ + { offset: 0, color: '#06b6d4' }, // Cyan (100 lbs) + { offset: 0.3, color: '#10b981' }, // Green (130 lbs) + { offset: 0.7, color: '#fbbf24' }, // Yellow (170 lbs) + { offset: 1, color: '#ef4444' } // Red (200 lbs) + ]; + + metricState.gaugeWeight = createGauge('gauge-weight', parseFloat(weightLbs), 100, 200, colorStops); + + const weightGaugeEl = document.getElementById('val-weight-gauge'); + if (weightGaugeEl) weightGaugeEl.innerText = weightLbs; + + const weightDateEl = document.getElementById('weight-date'); + if (weightDateEl) weightDateEl.innerText = new Date().toLocaleDateString('en-US', { month: 'short', day: 'numeric' }); + + // Determine status with color + const bmi = latest.bmi || 0; + let status = 'BALANCED'; + let statusColor = 'text-cyan-400'; + + if (bmi < 18.5) { + status = 'UNDERWEIGHT'; + statusColor = 'text-purple-400'; + } else if (bmi >= 18.5 && bmi < 25) { + status = 'BALANCED'; + statusColor = 'text-cyan-400'; + } else if (bmi >= 25 && bmi < 30) { + status = 'OVERWEIGHT'; + statusColor = 'text-yellow-400'; + } else if (bmi >= 30) { + status = 'OBESE'; + statusColor = 'text-red-400'; + } + + const weightStatusEl = document.getElementById('weight-status'); + if (weightStatusEl) { + weightStatusEl.innerText = status; + weightStatusEl.className = `text-sm ${statusColor} uppercase tracking-wider mt-2 font-semibold`; + } + } + + // BMI gauge (assuming range 15-35) + if (latest.bmi) { + const bmi = latest.bmi.toFixed(1); + // Vibrant 5-color gradient: Purple -> Cyan -> Green -> Yellow -> Red + const colorStops = [ + { offset: 0, color: '#a855f7' }, // Purple (15) + { offset: 0.175, color: '#06b6d4' }, // Cyan (18.5) + { offset: 0.5, color: '#10b981' }, // Green (25) + { offset: 0.75, color: '#fbbf24' }, // Yellow (30) + { offset: 1, color: '#ef4444' } // Red (35) + ]; + + metricState.gaugeBMI = createGauge('gauge-bmi', parseFloat(bmi), 15, 35, colorStops); + + const bmiGaugeEl = document.getElementById('val-bmi-gauge'); + if (bmiGaugeEl) bmiGaugeEl.innerText = bmi; + + const bmiDateEl = document.getElementById('bmi-date'); + if (bmiDateEl) bmiDateEl.innerText = new Date().toLocaleDateString('en-US', { month: 'short', day: 'numeric' }); + + // Determine BMI status with appropriate color + let status = 'NORMAL'; + let statusColor = 'text-green-400'; + + if (bmi < 18.5) { + status = 'UNDERWEIGHT'; + statusColor = 'text-cyan-400'; + } else if (bmi >= 18.5 && bmi < 25) { + status = 'NORMAL'; + statusColor = 'text-green-400'; + } else if (bmi >= 25 && bmi < 30) { + status = 'OVERWEIGHT'; + statusColor = 'text-yellow-400'; + } else if (bmi >= 30) { + status = 'OBESE'; + statusColor = 'text-red-400'; + } + + const bmiStatusEl = document.getElementById('bmi-status'); + if (bmiStatusEl) { + bmiStatusEl.innerText = status; + bmiStatusEl.className = `text-sm ${statusColor} uppercase tracking-wider mt-2 font-semibold`; + } + } +} + +// Open metric details modal +// Open metric details modal +window.openMetricDetails = function (metric) { + metricState.currentMetric = metric; + metricState.currentPeriod = 'recent'; + metricState.referenceDate = new Date(); + + const modal = document.getElementById('metric-details-modal'); + const title = document.getElementById('metric-title'); + + // Update title + title.innerText = metric.toUpperCase(); + + // Show/hide specific sections + const trendsSection = document.getElementById('metric-trends'); + const bmiInfoSection = document.getElementById('metric-bmi-info'); + + if (metric === 'weight') { + trendsSection.classList.remove('hidden'); + bmiInfoSection.classList.add('hidden'); + } else { + trendsSection.classList.add('hidden'); + bmiInfoSection.classList.remove('hidden'); + } + + // Reset view to chart + document.getElementById('metric-chart-view').classList.remove('hidden'); + document.getElementById('metric-list-view').classList.add('hidden'); + const historyBtn = document.getElementById('history-data-btn'); + if (historyBtn) { + historyBtn.innerHTML = 'History Data'; + } + + // Reset period buttons + document.querySelectorAll('.metric-period-btn').forEach(btn => { + btn.classList.remove('bg-brand-600', 'text-white'); + btn.classList.add('text-gray-400'); + }); + const recentBtn = document.querySelector('.metric-period-btn[data-period="recent"]'); + if (recentBtn) { + recentBtn.classList.add('bg-brand-600', 'text-white'); + recentBtn.classList.remove('text-gray-400'); + } + + // Show modal + toggleModal(modal, true); + + // Load data + loadMetricHistory(metric, 'recent'); +}; + +// Load metric history +async function loadMetricHistory(metric, period) { + try { + const refDate = metricState.referenceDate || state.currentDate || new Date(); + const dateStr = refDate.toISOString().split('T')[0]; + + // Always fetch from API for the specific period to get full history (especially for 'year') + const apiPeriod = (period === 'recent') ? 'week' : period; + const res = await fetch(`${API_URL}/health/stats?period=${apiPeriod}&ref_date=${dateStr}`); + if (!res.ok) throw new Error("Failed to fetch history"); + const data = await res.json(); + + if (!data || data.length === 0) { + console.warn('No health data available'); + return; + } + + const heightM = 1.75; // Default height for BMI calc if missing + + // Add BMI to data if missing + const processedData = data.map(d => { + const w = d.weight || d.weight_kg; + return { + ...d, + weight_norm: w, + bmi: d.bmi || (w ? (w / (heightM * heightM)) : null) + }; + }); + + // Update current value display (latest valid value in the dataset) + const validEntries = processedData.filter(d => metric === 'weight' ? d.weight_norm > 0 : d.bmi > 0); + const latest = validEntries.length > 0 ? validEntries[validEntries.length - 1] : processedData[processedData.length - 1]; + + if (metric === 'weight' && (latest.weight_norm || latest.weight)) { + const w = latest.weight_norm || latest.weight; + const weightLbs = (w * 2.20462).toFixed(1); + document.getElementById('metric-current-value').innerText = weightLbs + ' lbs'; + } else if (metric === 'bmi' && latest.bmi) { + document.getElementById('metric-current-value').innerText = latest.bmi.toFixed(1); + } + + document.getElementById('metric-current-date').innerText = new Date(latest.date).toLocaleDateString('en-US', { + month: 'short', + day: 'numeric', + hour: '2-digit', + minute: '2-digit' + }); + + // Calculate stats based on ALL data for the period + const values = processedData.map(d => metric === 'weight' ? (d.weight_norm ? d.weight_norm * 2.20462 : null) : d.bmi).filter(v => v); + + if (values.length > 0) { + const avg = (values.reduce((a, b) => a + b, 0) / values.length).toFixed(1); + const max = Math.max(...values).toFixed(1); + const min = Math.min(...values).toFixed(1); + + document.getElementById('metric-avg').innerText = avg + (metric === 'weight' ? ' lbs' : ''); + document.getElementById('metric-max').innerText = max + (metric === 'weight' ? ' lbs' : ''); + document.getElementById('metric-min').innerText = min + (metric === 'weight' ? ' lbs' : ''); + + // TRENDS for Weight + if (metric === 'weight') { + const earliest = values[0]; + const latestVal = values[values.length - 1]; + const change = latestVal - earliest; + + const trendProgressEl = document.getElementById('trend-progress'); + if (trendProgressEl) { + const icon = change > 0 ? '' : ''; + const color = change > 0 ? 'text-red-500' : 'text-green-500'; + const sign = change > 0 ? '+' : ''; + trendProgressEl.parentElement.className = color; + trendProgressEl.innerHTML = `${icon} ${sign}${change.toFixed(1)} lbs`; + trendProgressEl.previousElementSibling.outerHTML = icon; // Update icon + } + + const trendCompEl = document.getElementById('trend-comparison'); + if (trendCompEl) { + const diffAvg = latestVal - parseFloat(avg); + const icon = diffAvg > 0 ? '' : ''; + const color = diffAvg > 0 ? 'text-red-500' : 'text-green-500'; + const sign = diffAvg > 0 ? '+' : ''; + trendCompEl.parentElement.className = color; + trendCompEl.innerHTML = `vs Avg: ${sign}${diffAvg.toFixed(1)} lbs`; + // trendCompEl.previousElementSibling.outerHTML = icon; + } + + // Ideal Weight (BMI 22) + // heightM = 1.75 default + const idealKg = 22 * (1.75 * 1.75); + const idealLbs = idealKg * 2.20462; + const idealEl = document.getElementById('ideal-weight'); + if (idealEl) idealEl.innerText = idealLbs.toFixed(1) + ' lbs'; + } + } + + // Render chart with full history + renderMetricChart(processedData, metric); + + // Render table + renderMetricTable(processedData, metric); + + } catch (err) { + console.error('Error loading metric history:', err); + showToast("Failed to load history data", "error"); + } +} + +// Render metric history chart +function renderMetricChart(data, metric) { + const canvas = document.getElementById('metric-history-chart'); + if (!canvas) return; + + const ctx = canvas.getContext('2d'); + + // Destroy existing chart + if (metricState.historyChart) { + metricState.historyChart.destroy(); + } + + // Prepare data + const labels = data.map(d => new Date(d.date).toLocaleDateString('en-US', { month: 'short', day: 'numeric' })); + const values = data.map(d => { + if (metric === 'weight') { + const w = d.weight_norm || d.weight || d.weight_kg; + return w ? (w * 2.20462).toFixed(1) : null; + } else { + return d.bmi ? d.bmi.toFixed(1) : null; + } + }); + + const isDark = document.documentElement.classList.contains('dark'); + + metricState.historyChart = new Chart(ctx, { + type: 'line', + data: { + labels: labels, + datasets: [{ + label: metric === 'weight' ? 'Weight (lbs)' : 'BMI', + data: values, + borderColor: '#10b981', + backgroundColor: 'rgba(16, 185, 129, 0.1)', + tension: 0.4, + fill: true, + pointRadius: 4, + pointBackgroundColor: '#10b981', + pointBorderColor: '#fff', + pointBorderWidth: 2, + pointHoverRadius: 6 + }] + }, + options: { + responsive: true, + maintainAspectRatio: false, + plugins: { + legend: { + display: false + }, + tooltip: { + backgroundColor: isDark ? '#1f2937' : '#ffffff', + titleColor: isDark ? '#ffffff' : '#000000', + bodyColor: isDark ? '#9ca3af' : '#6b7280', + borderColor: isDark ? '#374151' : '#e5e7eb', + borderWidth: 1, + padding: 12, + displayColors: false + } + }, + scales: { + y: { + beginAtZero: false, + grid: { + color: isDark ? '#374151' : '#e5e7eb', + drawBorder: false + }, + ticks: { + color: isDark ? '#9ca3af' : '#6b7280', + font: { + size: 11 + } + } + }, + x: { + grid: { + display: false + }, + ticks: { + color: isDark ? '#9ca3af' : '#6b7280', + font: { + size: 11 + }, + maxRotation: 45, + minRotation: 45 + } + } + } + } + }); +} + +function renderMetricTable(data, metric) { + const tbody = document.getElementById('metric-history-table-body'); + const countEl = document.getElementById('history-entry-count'); + if (!tbody) return; + + tbody.innerHTML = ''; + + // Filter valid data and sort desc + const validData = data.filter(d => metric === 'weight' ? (d.weight_norm || d.weight) : d.bmi) + .sort((a, b) => new Date(b.date) - new Date(a.date)); + + if (countEl) countEl.innerText = `${validData.length} entries`; + + if (validData.length === 0) { + tbody.innerHTML = 'No data available'; + return; + } + + validData.forEach((d, i) => { + const val = metric === 'weight' ? (d.weight_norm || d.weight) * 2.20462 : d.bmi; + const prevVal = (i < validData.length - 1) ? (metric === 'weight' ? (validData[i + 1].weight_norm || validData[i + 1].weight) * 2.20462 : validData[i + 1].bmi) : null; + + let changeHtml = '-'; + if (prevVal) { + const diff = val - prevVal; + if (Math.abs(diff) < 0.1) { + changeHtml = '-'; + } else if (diff > 0) { + changeHtml = ` +${diff.toFixed(1)}`; + } else { + changeHtml = ` ${diff.toFixed(1)}`; + } + // Invert colors for Weight if gaining is bad? Usually gaining weight is bad for weight loss apps. + // But if metric is generic, leave it. Assuming weight loss goal: Red = Up, Green = Down. + } + + const date = new Date(d.date).toLocaleDateString('en-US', { weekday: 'short', month: 'short', day: 'numeric' }); + + const tr = document.createElement('tr'); + tr.className = 'hover:bg-gray-700/30 transition-colors'; + tr.innerHTML = ` + ${date} + ${val.toFixed(1)} ${metric === 'weight' ? 'lbs' : ''} + ${changeHtml} + `; + tbody.appendChild(tr); + }); +} + +// Initialize metric modal handlers +function initMetricModal() { + const modal = document.getElementById('metric-details-modal'); + const closeBtn = document.getElementById('close-metric-modal-btn'); + const backBtn = document.getElementById('metric-back-btn'); + const backdrop = document.getElementById('metric-modal-backdrop'); + + if (!modal) return; + + const closeModal = () => { + toggleModal(modal, false); + if (metricState.historyChart) { + metricState.historyChart.destroy(); + metricState.historyChart = null; + } + }; + + if (closeBtn) closeBtn.addEventListener('click', closeModal); + if (backBtn) backBtn.addEventListener('click', closeModal); + if (backdrop) backdrop.addEventListener('click', closeModal); + + // Period buttons + document.querySelectorAll('.metric-period-btn').forEach(btn => { + btn.addEventListener('click', () => { + const period = btn.dataset.period; + metricState.currentPeriod = period; + metricState.referenceDate = new Date(); // Reset date on period change + + // Update button states + document.querySelectorAll('.metric-period-btn').forEach(b => { + b.classList.remove('bg-brand-600', 'text-white'); + b.classList.add('text-gray-400'); + }); + btn.classList.add('bg-brand-600', 'text-white'); + btn.classList.remove('text-gray-400'); + + // Reload data + loadMetricHistory(metricState.currentMetric, period); + }); + }); + + // Navigation Buttons + const prevBtn = document.getElementById('metric-prev-btn'); + const nextBtn = document.getElementById('metric-next-btn'); + + const changeTime = (direction) => { + const d = new Date(metricState.referenceDate); + const period = metricState.currentPeriod; + + if (period === 'recent' || period === 'week') { + d.setDate(d.getDate() + (direction * 7)); + } else if (period === 'month') { + d.setMonth(d.getMonth() + direction); + } else if (period === 'year') { + d.setFullYear(d.getFullYear() + direction); + } + + // Prevent future dates? Optional, but good practice usually. + // if (d > new Date()) return; + + metricState.referenceDate = d; + loadMetricHistory(metricState.currentMetric, period); + }; + + if (prevBtn) prevBtn.addEventListener('click', () => changeTime(-1)); + if (nextBtn) nextBtn.addEventListener('click', () => changeTime(1)); + + // History data button (Toggle View) + const historyBtn = document.getElementById('history-data-btn'); + if (historyBtn) { + historyBtn.addEventListener('click', () => { + const chartView = document.getElementById('metric-chart-view'); + const listView = document.getElementById('metric-list-view'); + + if (chartView.classList.contains('hidden')) { + // Show Chart + chartView.classList.remove('hidden'); + listView.classList.add('hidden'); + historyBtn.innerHTML = 'History Data'; + } else { + // Show List + chartView.classList.add('hidden'); + listView.classList.remove('hidden'); + historyBtn.innerHTML = 'Show Chart'; + } + }); + } + + // Add entry button (placeholder) + const addBtn = document.getElementById('metric-add-btn'); + if (addBtn) { + addBtn.addEventListener('click', () => { + showToast('Manual entry coming soon!', 'info'); + }); + } +} + +// Initialize on DOMContentLoaded +document.addEventListener('DOMContentLoaded', () => { + initMetricModal(); + initWorkoutsTab(); + // Initialize period views to match default state + switchPeriodViews(state.healthPeriod || 'day'); +}); + +// ===== PERIOD-ADAPTIVE VIEW SYSTEM ===== + +// Chart instances for period views +const periodCharts = { + weekPai: null, + monthSteps: null, + monthSleep: null +}; + + + +/** + * Render week overview - PAI bar chart with goal line + mini rings + */ +function renderWeekOverview(data) { + if (!data || !data.daily) return; + + const dailyData = data.daily || []; + const days = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']; + + // Calculate totals + let totalPai = 0; + let totalSteps = 0; + let totalCals = 0; + let totalSleep = 0; + let totalRhr = 0; + let countRhr = 0; + + dailyData.forEach((d, i) => { + totalPai += d.pai || 0; + totalSteps += d.steps || 0; + totalCals += d.calories || 0; + totalSleep += d.sleep_duration || 0; + if (d.resting_hr) { + totalRhr += d.resting_hr; + countRhr++; + } + + // Update mini rings + const ringEl = document.getElementById(`mini-ring-${i}`); + if (ringEl) { + const ring = ringEl.querySelector('div'); + const goalReached = (d.steps || 0) >= 8000; // Example goal + if (ring) { + ring.className = `w-10 h-10 mx-auto rounded-full border-4 ${goalReached ? 'border-green-500 bg-green-500/20' : 'border-gray-600'}`; + } + } + }); + + // Update summary values + const avgPai = dailyData.length > 0 ? totalPai / dailyData.length : 0; + document.getElementById('week-total-pai').innerText = Math.round(avgPai); + document.getElementById('week-avg-steps').innerText = Math.round(totalSteps / Math.max(dailyData.length, 1)).toLocaleString(); + document.getElementById('week-avg-cals').innerText = Math.round(totalCals / Math.max(dailyData.length, 1)).toLocaleString(); + + const avgSleepHrs = (totalSleep / Math.max(dailyData.length, 1)) / 60; + document.getElementById('week-avg-sleep').innerText = `${Math.floor(avgSleepHrs)}h ${Math.round((avgSleepHrs % 1) * 60)}m`; + document.getElementById('week-avg-rhr').innerText = countRhr > 0 ? Math.round(totalRhr / countRhr) : '--'; + + // PAI Bar Chart + const ctx = document.getElementById('chart-week-pai'); + if (!ctx) return; + + if (periodCharts.weekPai) periodCharts.weekPai.destroy(); + + const isDark = document.documentElement.classList.contains('dark'); + const paiData = dailyData.map(d => d.pai || 0); + const labels = dailyData.map((d, i) => days[i] || `Day ${i + 1}`); + + + periodCharts.weekPai = new Chart(ctx, { + type: 'bar', + data: { + labels: labels, + datasets: [{ + label: 'PAI Score', + data: paiData, + backgroundColor: paiData.map(v => v >= 15 ? '#10b981' : '#f97316'), + borderRadius: 8, + barThickness: 40 + }] + }, + options: { + responsive: true, + maintainAspectRatio: false, + plugins: { + legend: { display: false }, + annotation: { + annotations: { + goalLine: { + type: 'line', + yMin: 15, + yMax: 15, + borderColor: '#ef4444', + borderWidth: 2, + borderDash: [6, 6], + label: { + content: 'Daily Goal', + enabled: true, + position: 'end' + } + } + } + } + }, + scales: { + y: { + beginAtZero: true, + max: Math.max(...paiData, 30), + grid: { color: isDark ? '#374151' : '#e5e7eb' }, + ticks: { color: isDark ? '#9ca3af' : '#6b7280' } + }, + x: { + grid: { display: false }, + ticks: { color: isDark ? '#9ca3af' : '#6b7280' } + } + } + } + }); +} + +/** + * Render month overview - Activity heatmap + trend charts + */ +function renderMonthOverview(data) { + if (!data || !data.daily) return; + + const dailyData = data.daily || []; + const container = document.getElementById('heatmap-container'); + if (!container) return; + + // Clear existing + container.innerHTML = ''; + + // Add day headers + const dayLabels = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']; + dayLabels.forEach(day => { + const header = document.createElement('div'); + header.className = 'text-center text-xs text-gray-400 font-medium py-1'; + header.textContent = day; + container.appendChild(header); + }); + + // Calculate max for intensity scaling + const maxSteps = Math.max(...dailyData.map(d => d.steps || 0), 10000); + let activeDays = 0; + let restDays = 0; + + // Create heatmap cells + dailyData.forEach(d => { + const steps = d.steps || 0; + const intensity = steps / maxSteps; + + let colorClass = 'bg-gray-700'; + if (intensity > 0.1) colorClass = 'bg-green-900'; + if (intensity > 0.3) colorClass = 'bg-green-700'; + if (intensity > 0.5) colorClass = 'bg-green-500'; + if (intensity > 0.7) colorClass = 'bg-green-400'; + + if (steps > 3000) activeDays++; + else restDays++; + + const cell = document.createElement('div'); + cell.className = `aspect-square rounded ${colorClass} cursor-pointer hover:ring-2 hover:ring-white/50 transition-all`; + cell.title = `${d.date}: ${steps.toLocaleString()} steps`; + container.appendChild(cell); + }); + + document.getElementById('month-active-days').innerText = activeDays; + document.getElementById('month-rest-days').innerText = restDays; + + // Render trend charts + renderMonthTrendCharts(dailyData); +} + +/** + * Render Sleep Week View + */ +function renderSleepWeek(dailyData) { + if (!dailyData || dailyData.length === 0) return; + + // 1. Calculate Averages + let totalDur = 0; + let bedtimes = []; + let waketimes = []; + let bestDur = 0; + let validDays = 0; + + dailyData.forEach(d => { + if (d.sleep_duration > 0) { + totalDur += d.sleep_duration; + validDays++; + if (d.sleep_duration > bestDur) bestDur = d.sleep_duration; + } + if (d.bedtime) { + const bt = new Date(d.bedtime); + let mins = bt.getHours() * 60 + bt.getMinutes(); + if (mins > 12 * 60) mins -= 24 * 60; + bedtimes.push(mins); + } + if (d.wake_time) { + const wt = new Date(d.wake_time); + waketimes.push(wt.getHours() * 60 + wt.getMinutes()); + } + }); + + const avgDur = validDays > 0 ? totalDur / validDays : 0; + document.getElementById('week-avg-duration').innerText = `${Math.floor(avgDur / 60)}h ${Math.round(avgDur % 60)}m`; + document.getElementById('week-best-night').innerText = `${Math.floor(bestDur / 60)}h ${Math.round(bestDur % 60)}m`; + + if (bedtimes.length > 0) { + const avgBtMins = bedtimes.reduce((a, b) => a + b, 0) / bedtimes.length; + const totalMins = avgBtMins + (avgBtMins < 0 ? 1440 : 0); + const h = Math.floor(totalMins / 60) % 24; + const m = Math.round(totalMins % 60); + document.getElementById('week-avg-bedtime').innerText = `${h}:${m.toString().padStart(2, '0')}`; + } + + if (waketimes.length > 0) { + const avgWtMins = waketimes.reduce((a, b) => a + b, 0) / waketimes.length; + const h = Math.floor(avgWtMins / 60); + const m = Math.round(avgWtMins % 60); + document.getElementById('week-avg-wake').innerText = `${h}:${m.toString().padStart(2, '0')}`; + } + + document.getElementById('sleep-regularity-score').innerText = validDays > 4 ? 'High' : 'Moderate'; + renderSleepScheduleChart(dailyData); +} + +/** + * Render Sleep Month View + */ +function renderSleepMonth(dailyData) { + if (!dailyData || dailyData.length === 0) return; + + let totalDur = 0; + let nightsBelow6 = 0; + let validDays = 0; + + dailyData.forEach(d => { + if (d.sleep_duration > 0) { + totalDur += d.sleep_duration; + validDays++; + if (d.sleep_duration < 360) nightsBelow6++; + } + }); + + const avgDur = validDays > 0 ? totalDur / validDays : 0; + document.getElementById('month-avg-sleep').innerText = `${Math.floor(avgDur / 60)}h ${Math.round(avgDur % 60)}m`; + document.getElementById('month-nights-below').innerText = nightsBelow6; + + const goalMins = 8 * 60; + const debtMins = (goalMins * validDays) - totalDur; + const debtEl = document.getElementById('month-sleep-debt'); + if (debtEl) { + if (debtMins > 0) { + debtEl.innerHTML = `-${Math.floor(debtMins / 60)}h ${Math.round(debtMins % 60)}m`; + } else { + debtEl.innerHTML = `+${Math.floor(Math.abs(debtMins) / 60)}h ${Math.round(Math.abs(debtMins) % 60)}m`; + } + } + + renderSleepDebtChart(dailyData); +} + +function renderSleepScheduleChart(dailyData) { + const ctx = document.getElementById('chart-sleep-schedule'); + if (!ctx) return; + if (periodCharts.sleepSchedule) periodCharts.sleepSchedule.destroy(); + + const formattedData = dailyData.map(d => { + if (!d.bedtime || !d.wake_time) return null; + const bt = new Date(d.bedtime); + const wt = new Date(d.wake_time); + + let bVal = bt.getHours() + (bt.getMinutes() / 60); + if (bVal >= 12) bVal -= 12; else bVal += 12; + + let wVal = wt.getHours() + (wt.getMinutes() / 60); + if (wVal >= 12) wVal -= 12; else wVal += 12; + + return [bVal, wVal]; + }); + + periodCharts.sleepSchedule = new Chart(ctx, { + type: 'bar', + data: { + labels: dailyData.map(d => new Date(d.date).toLocaleDateString('en-US', { weekday: 'short' })), + datasets: [{ + label: 'Sleep Window', + data: formattedData, + backgroundColor: 'rgba(147, 51, 234, 0.6)', + borderColor: '#9333ea', + borderWidth: 1, + borderRadius: 20, + borderSkipped: false + }] + }, + options: { + responsive: true, + maintainAspectRatio: false, + indexAxis: 'x', + scales: { + y: { + min: 6, max: 24, + ticks: { + stepSize: 2, + callback: function (value) { + let h = (value + 12) % 24; + return (h === 0 ? 12 : (h > 12 ? h - 12 : h)) + (h >= 12 ? ' PM' : ' AM'); + } + } + } + }, + plugins: { legend: { display: false } } + } + }); +} + +function renderSleepDebtChart(dailyData) { + const ctx = document.getElementById('chart-sleep-debt'); + if (!ctx) return; + if (periodCharts.sleepDebt) periodCharts.sleepDebt.destroy(); + + periodCharts.sleepDebt = new Chart(ctx, { + type: 'bar', + data: { + labels: dailyData.map(d => d.date.split('-')[2]), + datasets: [{ + data: dailyData.map(d => d.sleep_duration / 60), + backgroundColor: dailyData.map(d => { + const h = d.sleep_duration / 60; + if (h < 6) return '#ef4444'; + if (h < 7) return '#f59e0b'; + return '#10b981'; + }), + borderRadius: 4 + }] + }, + options: { + responsive: true, + maintainAspectRatio: false, + scales: { + y: { max: 12, title: { display: true, text: 'Hours' } }, + x: { ticks: { maxTicksLimit: 10 } } + }, + plugins: { legend: { display: false } } + } + }); +} + +/** + * Render monthly trend line charts + */ +function renderMonthTrendCharts(dailyData) { + const isDark = document.documentElement.classList.contains('dark'); + const labels = dailyData.map((d, i) => i + 1); + + // Steps trend + const stepsCtx = document.getElementById('chart-month-steps'); + if (stepsCtx) { + if (periodCharts.monthSteps) periodCharts.monthSteps.destroy(); + + periodCharts.monthSteps = new Chart(stepsCtx, { + type: 'line', + data: { + labels: labels, + datasets: [{ + label: 'Steps', + data: dailyData.map(d => d.steps || 0), + borderColor: '#3b82f6', + backgroundColor: 'rgba(59, 130, 246, 0.1)', + fill: true, + tension: 0.4, + pointRadius: 0 + }] + }, + options: { + responsive: true, + maintainAspectRatio: false, + plugins: { legend: { display: false } }, + scales: { + y: { + beginAtZero: true, + grid: { color: isDark ? '#374151' : '#e5e7eb' } + }, + x: { + grid: { display: false }, + ticks: { maxTicksLimit: 5 } + } + } + } + }); + } + + // Sleep trend + const sleepCtx = document.getElementById('chart-month-sleep'); + if (sleepCtx) { + if (periodCharts.monthSleep) periodCharts.monthSleep.destroy(); + + periodCharts.monthSleep = new Chart(sleepCtx, { + type: 'bar', + data: { + labels: labels, + datasets: [{ + label: 'Sleep (hrs)', + data: dailyData.map(d => (d.sleep_duration || 0) / 60), + backgroundColor: dailyData.map(d => { + const hrs = (d.sleep_duration || 0) / 60; + if (hrs < 6) return '#ef4444'; + if (hrs < 7) return '#f59e0b'; + return '#10b981'; + }), + borderRadius: 2 + }] + }, + options: { + responsive: true, + maintainAspectRatio: false, + plugins: { legend: { display: false } }, + scales: { + y: { + beginAtZero: true, + max: 12, + grid: { color: isDark ? '#374151' : '#e5e7eb' } + }, + x: { + grid: { display: false }, + ticks: { maxTicksLimit: 5 } + } + } + } + }); + } +} + +// --- Period View Switching --- +function switchPeriodViews(period) { + // Map period to view suffix + const viewMap = { + 'day': 'day', + 'week': 'week', + 'month': 'month' + }; + + const suffix = viewMap[period] || 'day'; + + // Get all tabs + const tabs = ['overview', 'readiness', 'sleep', 'exertion', 'workouts']; + + tabs.forEach(tab => { + // Hide all period views for this tab + ['day', 'week', 'month'].forEach(p => { + const viewEl = document.getElementById(`${tab}-${p}`); + if (viewEl) { + viewEl.classList.add('hidden'); + } + }); + + // Show the selected period view + const activeView = document.getElementById(`${tab}-${suffix}`); + if (activeView) { + activeView.classList.remove('hidden'); + } + }); + + // Render period-specific data for workouts + if (period === 'month') { + renderWorkoutsMonth(); + } else if (period === 'week') { + renderWorkoutsWeek(); + } else { + renderWorkoutsDay(); + } +} + + +// --- Workouts Tab --- +const workoutState = { + workouts: [], + summary: null, + charts: { + types: null, + weekly: null + } +}; + +function initWorkoutsTab() { + // Filter handler + const filterEl = document.getElementById('workout-filter'); + if (filterEl) { + filterEl.addEventListener('change', () => { + renderWorkoutsList(workoutState.workouts, filterEl.value); + }); + } +} + +async function loadWorkoutsData(startDate, endDate) { + try { + let workoutsUrl = `${API_URL}/health/workouts?limit=200`; + let summaryUrl = `${API_URL}/health/workouts/summary`; + + if (startDate && endDate) { + workoutsUrl += `&start_date=${startDate}&end_date=${endDate}`; + summaryUrl += `?start_date=${startDate}&end_date=${endDate}`; + } + + // Load workouts list + const workoutsRes = await fetch(workoutsUrl); + if (workoutsRes.ok) { + workoutState.workouts = await workoutsRes.json(); + } + + // Load summary + const summaryRes = await fetch(summaryUrl); + if (summaryRes.ok) { + workoutState.summary = await summaryRes.json(); + } + + renderWorkoutsTab(); + } catch (err) { + console.error('Error loading workouts:', err); + } +} + +function renderWorkoutsTab() { + const summary = workoutState.summary; + const workouts = workoutState.workouts; + + if (!summary) return; + + // Summary cards + document.getElementById('workout-total').innerText = summary.total_workouts || 0; + + // Calculate totals from by_activity_type + let totalDuration = 0; + let totalDistance = 0; + let totalCalories = 0; + + summary.by_activity_type.forEach(t => { + totalDuration += t.total_duration_seconds || 0; + totalDistance += t.total_distance_meters || 0; + totalCalories += t.total_calories || 0; + }); + + // Format duration + const hours = Math.floor(totalDuration / 3600); + const minutes = Math.floor((totalDuration % 3600) / 60); + document.getElementById('workout-duration').innerText = hours > 0 ? `${hours}h ${minutes}m` : `${minutes}m`; + + // Format distance + const km = (totalDistance / 1000).toFixed(1); + document.getElementById('workout-distance').innerText = `${km} km`; + + // Format calories + document.getElementById('workout-calories').innerText = Math.round(totalCalories).toLocaleString(); + + // Charts + renderWorkoutTypesChart(summary.by_activity_type); + renderWorkoutWeeklyChart(workouts); + + // List + renderWorkoutsList(workouts); +} + +function renderWorkoutTypesChart(data) { + const ctx = document.getElementById('chart-workout-types'); + if (!ctx) return; + + if (workoutState.charts.types) { + workoutState.charts.types.destroy(); + } + + const colors = [ + '#f97316', // orange + '#3b82f6', // blue + '#10b981', // green + '#8b5cf6', // purple + '#ec4899', // pink + '#14b8a6', // teal + '#f59e0b', // amber + '#6366f1' // indigo + ]; + + workoutState.charts.types = new Chart(ctx, { + type: 'doughnut', + data: { + labels: data.map(d => d.activity_type), + datasets: [{ + data: data.map(d => d.count), + backgroundColor: colors.slice(0, data.length), + borderWidth: 0, + hoverOffset: 10 + }] + }, + options: { + responsive: true, + maintainAspectRatio: false, + cutout: '65%', + plugins: { + legend: { + position: 'bottom', + labels: { + padding: 15, + usePointStyle: true, + color: document.documentElement.classList.contains('dark') ? '#d1d5db' : '#374151' + } + } + } + } + }); +} + +function renderWorkoutWeeklyChart(workouts) { + const ctx = document.getElementById('chart-workout-weekly'); + if (!ctx) return; + + if (workoutState.charts.weekly) { + workoutState.charts.weekly.destroy(); + } + + // Group workouts by week + const weeklyData = {}; + const now = new Date(); + + // Initialize last 12 weeks + for (let i = 11; i >= 0; i--) { + const weekStart = new Date(now); + weekStart.setDate(now.getDate() - (i * 7)); + const weekKey = weekStart.toISOString().split('T')[0].slice(0, 7) + '-W' + getWeekNumber(weekStart); + weeklyData[weekKey] = { count: 0, duration: 0, calories: 0 }; + } + + workouts.forEach(w => { + const date = new Date(w.start_time); + const weekKey = date.toISOString().split('T')[0].slice(0, 7) + '-W' + getWeekNumber(date); + if (weeklyData[weekKey]) { + weeklyData[weekKey].count++; + weeklyData[weekKey].duration += (w.duration_seconds || 0) / 60; + weeklyData[weekKey].calories += w.calories || 0; + } + }); + + const labels = Object.keys(weeklyData).map(k => k.split('-W')[1] ? 'W' + k.split('-W')[1] : k); + const isDark = document.documentElement.classList.contains('dark'); + + workoutState.charts.weekly = new Chart(ctx, { + type: 'bar', + data: { + labels: labels.slice(-8), + datasets: [{ + label: 'Workouts', + data: Object.values(weeklyData).slice(-8).map(d => d.count), + backgroundColor: '#f97316', + borderRadius: 6 + }] + }, + options: { + responsive: true, + maintainAspectRatio: false, + plugins: { + legend: { display: false } + }, + scales: { + y: { + beginAtZero: true, + grid: { color: isDark ? '#374151' : '#e5e7eb' }, + ticks: { stepSize: 1 } + }, + x: { + grid: { display: false } + } + } + } + }); +} + +function getWeekNumber(date) { + const d = new Date(Date.UTC(date.getFullYear(), date.getMonth(), date.getDate())); + const dayNum = d.getUTCDay() || 7; + d.setUTCDate(d.getUTCDate() + 4 - dayNum); + const yearStart = new Date(Date.UTC(d.getUTCFullYear(), 0, 1)); + return Math.ceil((((d - yearStart) / 86400000) + 1) / 7); +} + +function renderWorkoutsList(workouts, filterType = '') { + const container = document.getElementById('workouts-list'); + if (!container) return; + + let filtered = workouts; + if (filterType) { + filtered = workouts.filter(w => w.activity_type === filterType); + } + + if (filtered.length === 0) { + container.innerHTML = ` +
+ +

No workouts found

+
+ `; + return; + } + + container.innerHTML = filtered.slice(0, 50).map(w => { + const date = new Date(w.start_time); + const duration = formatDuration(w.duration_seconds); + const distance = (w.distance_meters / 1000).toFixed(2); + const icon = getActivityIcon(w.activity_type); + const color = getActivityColor(w.activity_type); + + return ` +
+
+ +
+
+
+

${w.activity_type}

+ ${date.toLocaleDateString('en-US', { month: 'short', day: 'numeric', year: 'numeric' })} +
+
+ ${duration} + ${w.distance_meters > 0 ? `${distance} km` : ''} + ${Math.round(w.calories)} kcal +
+
+
+
${date.toLocaleTimeString('en-US', { hour: '2-digit', minute: '2-digit' })}
+
+
+ `; + }).join(''); +} + +function formatDuration(seconds) { + if (!seconds) return '0m'; + const h = Math.floor(seconds / 3600); + const m = Math.floor((seconds % 3600) / 60); + if (h > 0) return `${h}h ${m}m`; + return `${m}m`; +} + +function getActivityIcon(type) { + const icons = { + 'Running': 'fas fa-person-running', + 'Walking': 'fas fa-person-walking', + 'Cycling': 'fas fa-bicycle', + 'Elliptical': 'fas fa-heart-pulse', + 'Free Training': 'fas fa-dumbbell', + 'HIIT': 'fas fa-bolt', + 'Stretching': 'fas fa-child-reaching', + 'Yoga': 'fas fa-spa' + }; + return icons[type] || 'fas fa-dumbbell'; +} + +function getActivityColor(type) { + const colors = { + 'Running': 'bg-gradient-to-br from-orange-500 to-red-500', + 'Walking': 'bg-gradient-to-br from-green-500 to-emerald-500', + 'Cycling': 'bg-gradient-to-br from-blue-500 to-cyan-500', + 'Elliptical': 'bg-gradient-to-br from-purple-500 to-pink-500', + 'Free Training': 'bg-gradient-to-br from-gray-600 to-gray-700', + 'HIIT': 'bg-gradient-to-br from-red-500 to-rose-600', + 'Stretching': 'bg-gradient-to-br from-teal-500 to-cyan-500', + 'Yoga': 'bg-gradient-to-br from-indigo-500 to-purple-500' + }; + return colors[type] || 'bg-gradient-to-br from-gray-500 to-gray-600'; +} + +// --- Period-Specific Workout Renderers --- +function renderWorkoutsDay() { + const workouts = workoutState.workouts || []; + const targetDate = state.currentDate || new Date(); + const today = targetDate.toISOString().split('T')[0]; + const todayWorkouts = workouts.filter(w => { + const wDate = new Date(w.start_time).toISOString().split('T')[0]; + return wDate === today; + }); + + // Update timeline + const timeline = document.getElementById('workout-timeline'); + if (timeline) { + if (todayWorkouts.length === 0) { + timeline.innerHTML = ` +
+ +

No workouts recorded today

+
+ `; + } else { + timeline.innerHTML = todayWorkouts.map(w => { + const date = new Date(w.start_time); + const duration = formatDuration(w.duration_seconds); + const distance = (w.distance_meters / 1000).toFixed(2); + const icon = getActivityIcon(w.activity_type); + const color = getActivityColor(w.activity_type); + + return ` +
+
+ +
+
+
+
+

${w.activity_type}

+

${date.toLocaleTimeString('en-US', { hour: '2-digit', minute: '2-digit' })}

+
+ ${duration} +
+
+ ${w.distance_meters > 0 ? `${distance} km` : ''} + ${Math.round(w.calories)} kcal +
+
+
+ `; + }).join(''); + } + } + + // Update summary cards + const totalDuration = todayWorkouts.reduce((sum, w) => sum + (w.duration_seconds || 0), 0); + const totalDistance = todayWorkouts.reduce((sum, w) => sum + (w.distance_meters || 0), 0); + const totalCalories = todayWorkouts.reduce((sum, w) => sum + (w.calories || 0), 0); + + const countEl = document.getElementById('day-workout-count'); + const durationEl = document.getElementById('day-workout-duration'); + const distanceEl = document.getElementById('day-workout-distance'); + const caloriesEl = document.getElementById('day-workout-calories'); + + if (countEl) countEl.innerText = todayWorkouts.length; + if (durationEl) durationEl.innerText = formatDuration(totalDuration); + if (distanceEl) distanceEl.innerText = `${(totalDistance / 1000).toFixed(1)} km`; + if (caloriesEl) caloriesEl.innerText = Math.round(totalCalories); +} + +function renderWorkoutsWeek() { + // Week view is already rendered by renderWorkoutsTab + // Just ensure the data is visible + const summary = workoutState.summary; + if (!summary) return; + + // Render intensity distribution (mock data for now) + const lowEl = document.getElementById('week-low-intensity'); + const modEl = document.getElementById('week-mod-intensity'); + const highEl = document.getElementById('week-high-intensity'); + + if (lowEl) lowEl.innerText = '45%'; + if (modEl) modEl.innerText = '35%'; + if (highEl) highEl.innerText = '20%'; +} + +function renderWorkoutsMonth() { + const workouts = workoutState.workouts || []; + const targetDate = state.currentDate || new Date(); + const firstDayOfMonth = new Date(targetDate.getFullYear(), targetDate.getMonth(), 1); + const lastDayOfMonth = new Date(targetDate.getFullYear(), targetDate.getMonth() + 1, 0); + + // Filter workouts for current month + const monthWorkouts = workouts.filter(w => { + const wDate = new Date(w.start_time); + return wDate >= firstDayOfMonth && wDate <= lastDayOfMonth; + }); + + // Calculate monthly totals + const totalSessions = monthWorkouts.length; + const totalDuration = monthWorkouts.reduce((sum, w) => sum + (w.duration_seconds || 0), 0); + const totalDistance = monthWorkouts.reduce((sum, w) => sum + (w.distance_meters || 0), 0); + const totalCalories = monthWorkouts.reduce((sum, w) => sum + (w.calories || 0), 0); + + // Update summary cards + const sessionsEl = document.getElementById('month-total-sessions'); + const distanceEl = document.getElementById('month-total-distance'); + const caloriesEl = document.getElementById('month-total-calories'); + const volumeEl = document.getElementById('month-total-volume'); + + if (sessionsEl) sessionsEl.innerText = totalSessions; + if (distanceEl) distanceEl.innerText = `${(totalDistance / 1000).toFixed(1)} km`; + if (caloriesEl) caloriesEl.innerText = Math.round(totalCalories); + if (volumeEl) volumeEl.innerText = `${(totalDuration / 3600).toFixed(1)} hrs`; + + // Render cumulative volume chart + renderCumulativeVolumeChart(monthWorkouts); + + // Render activity calendar + renderWorkoutCalendar(monthWorkouts); +} + +function renderCumulativeVolumeChart(monthWorkouts) { + const ctx = document.getElementById('chart-cumulative-volume'); + if (!ctx) return; + + // Destroy existing chart + if (workoutState.charts.cumulative) { + workoutState.charts.cumulative.destroy(); + } + + const targetDate = state.currentDate || new Date(); + const daysInMonth = new Date(targetDate.getFullYear(), targetDate.getMonth() + 1, 0).getDate(); + + // Create cumulative data + const cumulativeData = []; + let cumulative = 0; + + for (let day = 1; day <= daysInMonth; day++) { + const dayDate = new Date(targetDate.getFullYear(), targetDate.getMonth(), day); + const dayStr = dayDate.toISOString().split('T')[0]; + + const dayWorkouts = monthWorkouts.filter(w => { + return new Date(w.start_time).toISOString().split('T')[0] === dayStr; + }); + + const dayDuration = dayWorkouts.reduce((sum, w) => sum + (w.duration_seconds || 0), 0); + cumulative += dayDuration / 3600; // Convert to hours + cumulativeData.push(cumulative); + } + + const labels = Array.from({ length: daysInMonth }, (_, i) => i + 1); + const isDark = document.documentElement.classList.contains('dark'); + + workoutState.charts.cumulative = new Chart(ctx, { + type: 'line', + data: { + labels: labels, + datasets: [{ + label: 'This Month', + data: cumulativeData, + borderColor: '#3b82f6', + backgroundColor: 'rgba(59, 130, 246, 0.1)', + fill: true, + tension: 0.4, + borderWidth: 2 + }] + }, + options: { + responsive: true, + maintainAspectRatio: false, + plugins: { + legend: { display: false } + }, + scales: { + y: { + beginAtZero: true, + grid: { color: isDark ? '#374151' : '#e5e7eb' }, + ticks: { + color: isDark ? '#d1d5db' : '#374151', + callback: (value) => value + 'h' + } + }, + x: { + grid: { display: false }, + ticks: { color: isDark ? '#d1d5db' : '#374151' } + } + } + } + }); +} + +function renderWorkoutCalendar(monthWorkouts) { + const calendar = document.getElementById('workout-calendar'); + if (!calendar) return; + + const targetDate = state.currentDate || new Date(); + const today = new Date(); + const firstDay = new Date(targetDate.getFullYear(), targetDate.getMonth(), 1); + const lastDay = new Date(targetDate.getFullYear(), targetDate.getMonth() + 1, 0); + const daysInMonth = lastDay.getDate(); + const startingDayOfWeek = firstDay.getDay(); + + // Create calendar grid + let html = ''; + + // Day headers + const dayNames = ['Sun', 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat']; + dayNames.forEach(day => { + html += `
${day}
`; + }); + + // Empty cells before first day + for (let i = 0; i < startingDayOfWeek; i++) { + html += `
`; + } + + // Days of month + for (let day = 1; day <= daysInMonth; day++) { + const dayDate = new Date(targetDate.getFullYear(), targetDate.getMonth(), day); + const dayStr = dayDate.toISOString().split('T')[0]; + + const dayWorkouts = monthWorkouts.filter(w => { + return new Date(w.start_time).toISOString().split('T')[0] === dayStr; + }); + + const hasWorkout = dayWorkouts.length > 0; + const isToday = dayDate.toDateString() === today.toDateString(); + + let cellClass = 'p-2 text-center rounded-lg text-sm '; + if (isToday) { + cellClass += 'ring-2 ring-brand-500 '; + } + if (hasWorkout) { + cellClass += 'bg-green-500 text-white font-bold'; + } else { + cellClass += 'bg-gray-100 dark:bg-gray-700 text-gray-600 dark:text-gray-400'; + } + + html += `
${day}
`; + } + + calendar.innerHTML = html; +} diff --git a/frontend/index.html b/frontend/index.html new file mode 100644 index 0000000..d9d2392 --- /dev/null +++ b/frontend/index.html @@ -0,0 +1,2007 @@ + + + + + + + HabitForge + + + + + + + + + + + + + + + + + +
+ +
+ +
+
+
+
+
+

Total Reps Today

+

0

+
+
+ +
+
+
+ +
+
+
+
+

Active Streak

+

0

+
+
+ +
+
+
+ +
+
+
+
+

Completion Rate

+

0%

+
+
+ +
+
+
+
+ + +
+

Achievements

+
+ +
+
+ + +
+ +
+ + + +
+ + + + + + +
+ + + + + + + + +
+ +
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/frontend/login.html b/frontend/login.html new file mode 100644 index 0000000..7621a56 --- /dev/null +++ b/frontend/login.html @@ -0,0 +1,157 @@ + + + + + + + Login - HabitForge + + + + + + + + + +
+
+ +

HabitForge

+

Sign in to track your progress

+
+ +
+ + +
+ +
+ + +
+ + +
+
+ + +
+ + +
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transition: all 0.2s ease; +} + +.heatmap-cell:hover { + transform: scale(1.1); + z-index: 10; +} + +.heatmap-grid { + display: grid; + grid-template-rows: repeat(7, 1fr); + grid-auto-flow: column; + gap: 2px; + width: max-content; +} + +.heatmap-square { + width: 10px; + height: 10px; + border-radius: 2px; +} \ No newline at end of file diff --git a/nginx/nginx.conf b/nginx/nginx.conf new file mode 100644 index 0000000..25bdaf6 --- /dev/null +++ b/nginx/nginx.conf @@ -0,0 +1,76 @@ +# Nginx configuration for HabitForge + +events { + worker_connections 1024; +} + +http { + upstream backend { + server web:8000; + } + + # Rate limiting + limit_req_zone $binary_remote_addr zone=api_limit:10m rate=10r/s; + + server { + listen 80; + server_name _; + return 301 https://$host$request_uri; + } + + server { + listen 443 ssl http2; + server_name _; + + # SSL configuration + ssl_certificate /etc/nginx/ssl/cert.pem; + ssl_certificate_key /etc/nginx/ssl/key.pem; + ssl_protocols TLSv1.2 TLSv1.3; + ssl_ciphers HIGH:!aNULL:!MD5; + ssl_prefer_server_ciphers on; + + # Security headers + add_header X-Frame-Options "SAMEORIGIN" always; + add_header X-Content-Type-Options "nosniff" always; + add_header X-XSS-Protection "1; mode=block" always; + add_header Strict-Transport-Security "max-age=31536000; includeSubDomains" always; + + # Client body size limit + client_max_body_size 10M; + + # Static files + location /static/ { + alias /usr/share/nginx/html/static/; + expires 30d; + add_header Cache-Control "public, immutable"; + } + + # API endpoints + location /api/ { + limit_req zone=api_limit burst=20 nodelay; + + proxy_pass http://backend; + proxy_set_header Host $host; + proxy_set_header X-Real-IP $remote_addr; + proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; + proxy_set_header X-Forwarded-Proto $scheme; + + # Timeouts + proxy_connect_timeout 60s; + proxy_send_timeout 60s; + proxy_read_timeout 60s; + } + + # Health check + location /api/health { + proxy_pass http://backend; + access_log off; + } + + # Frontend + location / { + root /usr/share/nginx/html; + try_files $uri $uri/ /index.html; + } + } +} diff --git a/plans/RAW_DATA_REFACTORING_PLAN.md b/plans/RAW_DATA_REFACTORING_PLAN.md new file mode 100644 index 0000000..67380fb --- /dev/null +++ b/plans/RAW_DATA_REFACTORING_PLAN.md @@ -0,0 +1,515 @@ +# Plan de Refonte : Collecte des DonnĂ©es Brutes Health Connect + +## Objectif + +Refactoriser l'ensemble du systĂšme HabitForge pour : +1. **Collecter toutes les donnĂ©es brutes** de Health Connect (chaque record individuel avec son timestamp prĂ©cis) +2. **Stocker les donnĂ©es brutes** dans la base de donnĂ©es +3. **InterprĂ©ter les donnĂ©es cĂŽtĂ© web** (backend/frontend) selon les besoins d'affichage + +## ProblĂšme Actuel + +### Architecture Actuelle (ProblĂ©matique) +``` +Health Connect API + ↓ +Android App (readDailyMetrics) ──→ AGRÈGE par jour ──→ DailyMetrics payload + ↓ +Backend /api/health-connect/sync ──→ Stocke dans health_connect_daily_metrics (1 row/jour) + ↓ +Frontend ──→ Affiche donnĂ©es agrĂ©gĂ©es +``` + +### SymptĂŽmes ObservĂ©s +- La tuile "Steps" affiche 0 pour aujourd'hui (l'agrĂ©gation ne capture pas les nouveaux records) +- L'historique des steps (Nov 29 - Jan 8) montre des bonnes valeurs (agrĂ©gation passĂ©e) +- Les donnĂ©es brutes affichĂ©es s'arrĂȘtent au 29 dĂ©cembre (dĂ©calage avec l'agrĂ©gation) +- La base de donnĂ©es ne contient que des agrĂ©gations, pas les records individuels + +## Nouvelle Architecture ProposĂ©e + +``` +Health Connect API + ↓ +Android App (readRawRecords) ──→ Collecte TOUS les records bruts avec timestamps + ↓ +Backend /api/health-connect/sync-raw ──→ Stocke dans NOUVELLES tables de donnĂ©es brutes + ↓ +Backend (Aggregation Service) ──→ Calcule les agrĂ©gations Ă  la demande ou en cache + ↓ +Frontend ──→ Affiche donnĂ©es selon la granularitĂ© demandĂ©e +``` + +--- + +## Phase 1 : Nouveaux ModĂšles de Base de DonnĂ©es + +### 1.1 Nouvelles Tables pour DonnĂ©es Brutes + +```python +# backend/models/health_connect_raw.py + +class HealthConnectStepsRecord(Base): + """Individual step records from Health Connect""" + __tablename__ = "hc_raw_steps" + + id = Column(Integer, primary_key=True, index=True) + user_id = Column(Integer, ForeignKey("users.id"), index=True) + + # Record identifiers + record_id = Column(String(100), unique=True) # Health Connect UID + data_source = Column(String(200)) # Package name + data_source_name = Column(String(100)) + + # Timestamps + start_time = Column(DateTime, index=True) + end_time = Column(DateTime) + recorded_at = Column(DateTime) # When it was recorded on device + synced_at = Column(DateTime, default=datetime.utcnow) + + # Data + count = Column(Integer) + + # Metadata + sync_id = Column(Integer, ForeignKey("health_connect_sync_logs.id"), nullable=True) + + +class HealthConnectHeartRateRecord(Base): + """Individual heart rate records from Health Connect""" + __tablename__ = "hc_raw_heart_rate" + + id = Column(Integer, primary_key=True, index=True) + user_id = Column(Integer, ForeignKey("users.id"), index=True) + + record_id = Column(String(100), unique=True) + data_source = Column(String(200)) + + start_time = Column(DateTime, index=True) + end_time = Column(DateTime) + synced_at = Column(DateTime, default=datetime.utcnow) + + sync_id = Column(Integer, ForeignKey("health_connect_sync_logs.id"), nullable=True) + + +class HealthConnectHeartRateSample(Base): + """Individual heart rate samples (part of a HeartRateRecord)""" + __tablename__ = "hc_raw_heart_rate_samples" + + id = Column(Integer, primary_key=True, index=True) + record_id = Column(Integer, ForeignKey("hc_raw_heart_rate.id"), index=True) + + time = Column(DateTime) + bpm = Column(Integer) + + +class HealthConnectSleepSession(Base): + """Sleep sessions from Health Connect""" + __tablename__ = "hc_raw_sleep_sessions" + + id = Column(Integer, primary_key=True, index=True) + user_id = Column(Integer, ForeignKey("users.id"), index=True) + + record_id = Column(String(100), unique=True) + data_source = Column(String(200)) + + start_time = Column(DateTime, index=True) + end_time = Column(DateTime) + synced_at = Column(DateTime, default=datetime.utcnow) + + title = Column(String(200), nullable=True) + notes = Column(Text, nullable=True) + + sync_id = Column(Integer, ForeignKey("health_connect_sync_logs.id"), nullable=True) + + +class HealthConnectSleepStage(Base): + """Sleep stages within a session""" + __tablename__ = "hc_raw_sleep_stages" + + id = Column(Integer, primary_key=True, index=True) + session_id = Column(Integer, ForeignKey("hc_raw_sleep_sessions.id"), index=True) + + start_time = Column(DateTime) + end_time = Column(DateTime) + stage_type = Column(Integer) # AWAKE, LIGHT, DEEP, REM, etc. + stage_name = Column(String(50)) + + +class HealthConnectDistanceRecord(Base): + """Distance records from Health Connect""" + __tablename__ = "hc_raw_distance" + + id = Column(Integer, primary_key=True, index=True) + user_id = Column(Integer, ForeignKey("users.id"), index=True) + + record_id = Column(String(100), unique=True) + data_source = Column(String(200)) + + start_time = Column(DateTime, index=True) + end_time = Column(DateTime) + synced_at = Column(DateTime, default=datetime.utcnow) + + distance_meters = Column(Float) + + sync_id = Column(Integer, ForeignKey("health_connect_sync_logs.id"), nullable=True) + + +class HealthConnectCaloriesRecord(Base): + """Calories burned records from Health Connect""" + __tablename__ = "hc_raw_calories" + + id = Column(Integer, primary_key=True, index=True) + user_id = Column(Integer, ForeignKey("users.id"), index=True) + + record_id = Column(String(100), unique=True) + data_source = Column(String(200)) + + start_time = Column(DateTime, index=True) + end_time = Column(DateTime) + synced_at = Column(DateTime, default=datetime.utcnow) + + calories = Column(Float) + record_type = Column(String(50)) # "active" or "total" + + sync_id = Column(Integer, ForeignKey("health_connect_sync_logs.id"), nullable=True) + + +class HealthConnectOxygenSaturationRecord(Base): + """SpO2 records from Health Connect""" + __tablename__ = "hc_raw_spo2" + + id = Column(Integer, primary_key=True, index=True) + user_id = Column(Integer, ForeignKey("users.id"), index=True) + + record_id = Column(String(100), unique=True) + data_source = Column(String(200)) + + time = Column(DateTime, index=True) + synced_at = Column(DateTime, default=datetime.utcnow) + + percentage = Column(Float) + + sync_id = Column(Integer, ForeignKey("health_connect_sync_logs.id"), nullable=True) + + +class HealthConnectWeightRecord(Base): + """Weight records from Health Connect""" + __tablename__ = "hc_raw_weight" + + id = Column(Integer, primary_key=True, index=True) + user_id = Column(Integer, ForeignKey("users.id"), index=True) + + record_id = Column(String(100), unique=True) + data_source = Column(String(200)) + + time = Column(DateTime, index=True) + synced_at = Column(DateTime, default=datetime.utcnow) + + weight_kg = Column(Float) + + sync_id = Column(Integer, ForeignKey("health_connect_sync_logs.id"), nullable=True) + + +class HealthConnectRestingHeartRateRecord(Base): + """Resting heart rate records""" + __tablename__ = "hc_raw_resting_hr" + + id = Column(Integer, primary_key=True, index=True) + user_id = Column(Integer, ForeignKey("users.id"), index=True) + + record_id = Column(String(100), unique=True) + data_source = Column(String(200)) + + time = Column(DateTime, index=True) + synced_at = Column(DateTime, default=datetime.utcnow) + + bpm = Column(Integer) + + sync_id = Column(Integer, ForeignKey("health_connect_sync_logs.id"), nullable=True) +``` + +--- + +## Phase 2 : Modifications Android + +### 2.1 Nouvelles MĂ©thodes de Lecture des DonnĂ©es Brutes + +```kotlin +// HealthConnectManager.kt - Nouvelles mĂ©thodes + +/** + * Read all raw step records with full metadata (not aggregated) + */ +suspend fun readRawStepsRecords(startDate: LocalDate, endDate: LocalDate): List + +/** + * Read all raw heart rate records with samples + */ +suspend fun readRawHeartRateRecords(startDate: LocalDate, endDate: LocalDate): List + +/** + * Read all raw sleep sessions with stages + */ +suspend fun readRawSleepSessions(startDate: LocalDate, endDate: LocalDate): List + +// ... etc pour chaque type de donnĂ©e +``` + +### 2.2 Nouvelles Classes de DonnĂ©es + +```kotlin +// RawDataModels.kt + +data class RawStepsRecord( + val recordId: String, // metadata.id + val dataSource: String, // metadata.dataOrigin.packageName + val startTime: String, // ISO8601 + val endTime: String, + val count: Long +) + +data class RawHeartRateRecord( + val recordId: String, + val dataSource: String, + val startTime: String, + val endTime: String, + val samples: List +) + +data class HeartRateSample( + val time: String, + val bpm: Long +) + +data class RawSleepSession( + val recordId: String, + val dataSource: String, + val startTime: String, + val endTime: String, + val title: String?, + val notes: String?, + val stages: List +) + +data class SleepStage( + val startTime: String, + val endTime: String, + val stageType: Int, + val stageName: String +) + +// ... etc +``` + +### 2.3 Nouveau Payload de Synchronisation + +```kotlin +// ApiModels.kt + +data class RawDataSyncRequest( + val device_id: String, + val sync_timestamp: String, + val steps_records: List, + val heart_rate_records: List, + val sleep_sessions: List, + val distance_records: List, + val calories_records: List, + val spo2_records: List, + val weight_records: List, + val resting_hr_records: List, + val exercise_sessions: List +) +``` + +--- + +## Phase 3 : Nouveau Endpoint Backend + +### 3.1 Endpoint /api/health-connect/sync-raw + +```python +# backend/api/v1/health_connect_raw.py + +@router.post("/sync-raw", response_model=RawSyncResponse) +async def receive_raw_health_data( + request: RawDataSyncRequest, + db: Session = Depends(get_db), + current_user: User = Depends(auth.get_current_user) +): + """ + Receive raw health records from Android companion app. + Each record is stored individually with its original timestamp. + """ + # Upsert each record type using record_id as unique key + # ... +``` + +--- + +## Phase 4 : Service d'AgrĂ©gation Backend + +### 4.1 AggregationService + +```python +# backend/services/aggregation_service.py + +class AggregationService: + """ + Computes aggregated metrics from raw data on-demand. + Can optionally cache results in the existing daily_health_metrics tables. + """ + + def get_daily_steps(self, user_id: int, date: date) -> int: + """Sum all step records for a given day""" + + def get_daily_heart_rate_stats(self, user_id: int, date: date) -> HeartRateStats: + """Calculate min, max, avg HR for a day from all samples""" + + def get_weekly_stats(self, user_id: int, ref_date: date) -> WeeklyStats: + """Aggregate stats for a week""" + + def get_monthly_stats(self, user_id: int, ref_date: date) -> MonthlyStats: + """Aggregate stats for a month""" + + def get_metric_history( + self, + user_id: int, + metric_type: str, + start_date: date, + end_date: date, + granularity: str = "day" # "raw", "hour", "day", "week", "month" + ) -> List[MetricDataPoint]: + """Get historical data at specified granularity""" +``` + +--- + +## Phase 5 : Modifications Frontend + +### 5.1 API Client Updates + +```javascript +// frontend/js/api.js + +async function fetchRawMetricData(metricType, startDate, endDate, granularity = 'day') { + // Appelle le nouveau endpoint avec paramĂštres de granularitĂ© +} +``` + +### 5.2 Composants de Visualisation + +Les composants existants peuvent continuer Ă  fonctionner car le backend retournera des donnĂ©es agrĂ©gĂ©es par dĂ©faut. +L'option de voir les donnĂ©es brutes sera ajoutĂ©e pour les vues dĂ©taillĂ©es. + +--- + +## Plan d'ImplĂ©mentation - **ÉTAT D'AVANCEMENT** + +### ✅ Étape 1 : Database (Backend) - COMPLÉTÉ +- [x] CrĂ©er le fichier `backend/models/health_connect_raw.py` (15 tables brutes) +- [x] Ajouter migration Alembic `f5g6h7i8j9k0_add_health_connect_raw_tables.py` +- [x] Mettre Ă  jour `backend/models/__init__.py` pour inclure les nouveaux modĂšles + +### ✅ Étape 2 : Backend API - COMPLÉTÉ +- [x] CrĂ©er `backend/api/v1/health_connect_raw.py` avec endpoint `/sync-raw` +- [x] CrĂ©er les schĂ©mas Pydantic pour les 15 types de payloads bruts +- [x] Ajouter endpoints de lecture des donnĂ©es brutes (`/raw/steps`, `/raw/heart-rate`, `/raw/stats`) +- [x] Ajouter la route au router principal `backend/main.py` + +### ✅ Étape 3 : Backend Aggregation Service - COMPLÉTÉ +- [x] CrĂ©er `backend/services/aggregation_service.py` +- [x] ImplĂ©menter les mĂ©thodes d'agrĂ©gation quotidiennes +- [x] ImplĂ©menter `get_weekly_summary` et `get_monthly_summary` +- [x] ImplĂ©menter `get_metric_history` pour les graphiques + +### ✅ Étape 4 : Android - Reading Raw Data - COMPLÉTÉ +- [x] CrĂ©er `RawDataModels.kt` avec toutes les classes de donnĂ©es brutes +- [x] CrĂ©er `HealthConnectRawReader.kt` avec les mĂ©thodes `readRaw*` pour 13 types de donnĂ©es +- [x] ImplĂ©mentation avec pagination complĂšte + +### ✅ Étape 5 : Android - Sync Service - COMPLÉTÉ +- [x] Mettre Ă  jour `HabitForgeApi.kt` avec le nouvel endpoint `/sync-raw` +- [x] CrĂ©er les 15 classes de `*Payload` pour le format API +- [x] CrĂ©er `RawDataSyncService.kt` - nouveau service de synchronisation + +### ⏳ Étape 6 : Testing & Validation - À FAIRE +- [ ] Appliquer la migration Alembic sur la base de donnĂ©es +- [ ] Recompiler l'application Android +- [ ] Tester la synchronisation complĂšte +- [ ] Valider que les agrĂ©gations sont correctes +- [ ] VĂ©rifier la cohĂ©rence entre les vues + +--- + +## Fichiers CrĂ©Ă©s/ModifiĂ©s + +### Backend (Python) +| Fichier | Action | Description | +|---------|--------|-------------| +| `backend/models/health_connect_raw.py` | ✅ CrĂ©Ă© | 15 modĂšles SQLAlchemy pour donnĂ©es brutes | +| `backend/models/__init__.py` | ✅ ModifiĂ© | Imports des nouveaux modĂšles | +| `backend/api/v1/health_connect_raw.py` | ✅ CrĂ©Ă© | API endpoint /sync-raw + lecture | +| `backend/services/aggregation_service.py` | ✅ CrĂ©Ă© | Service d'agrĂ©gation on-demand | +| `backend/main.py` | ✅ ModifiĂ© | Ajout du router | +| `alembic/env.py` | ✅ ModifiĂ© | Import de tous les modĂšles | +| `alembic/versions/f5g6h7i8j9k0_...py` | ✅ CrĂ©Ă© | Migration pour 15 nouvelles tables | + +### Android (Kotlin) +| Fichier | Action | Description | +|---------|--------|-------------| +| `RawDataModels.kt` | ✅ CrĂ©Ă© | Classes de donnĂ©es brutes | +| `HealthConnectRawReader.kt` | ✅ CrĂ©Ă© | Lecteur de donnĂ©es brutes HC | +| `RawDataSyncService.kt` | ✅ CrĂ©Ă© | Service de synchronisation raw | +| `HabitForgeApi.kt` | ✅ ModifiĂ© | Payloads + endpoint raw | + +--- + +## Prochaines Étapes pour ComplĂ©ter l'ImplĂ©mentation + +1. **Appliquer la migration de base de donnĂ©es**: + ```bash + # Dans le container Docker ou en local + docker-compose exec web alembic upgrade head + ``` + +2. **Recompiler l'application Android**: + ```bash + cd android-companion + ./gradlew assembleDebug + ``` + +3. **Tester la synchronisation**: + - Installer l'APK sur le tĂ©lĂ©phone + - Se connecter au backend + - DĂ©clencher une synchronisation manuelle + - VĂ©rifier les logs du backend pour les records reçus + +4. **IntĂ©grer le service d'agrĂ©gation avec le frontend** (optionnel): + - Modifier les endpoints `/api/health/stats` existants pour utiliser `AggregationService` + - Le frontend continuera de fonctionner tel quel + +--- + +## Migration des DonnĂ©es Existantes + +Les donnĂ©es dĂ©jĂ  agrĂ©gĂ©es dans `health_connect_daily_metrics` seront conservĂ©es. +Le nouveau systĂšme fonctionnera en parallĂšle. +Une option de re-synchronisation complĂšte permettra de repeupler les nouvelles tables avec les donnĂ©es brutes. + +--- + +## Questions RĂ©solues + +1. **Volume de donnĂ©es** : Sync limitĂ© Ă  30 jours par dĂ©faut pour le service raw. + +2. **CompatibilitĂ©** : L'ancien endpoint `/sync` est conservĂ© pour backward compatibility. + +3. **Performance** : Le service d'agrĂ©gation calcule Ă  la demande. Un cache peut ĂȘtre ajoutĂ© ultĂ©rieurement. + +--- + +## Estimation Mise Ă  Jour + +**Temps effectif : ~4 heures** (implĂ©mentation core) +**Restant : ~1-2 heures** (testing et validation) + diff --git a/plans/plan_correction_habitforge.md b/plans/plan_correction_habitforge.md new file mode 100644 index 0000000..a013203 --- /dev/null +++ b/plans/plan_correction_habitforge.md @@ -0,0 +1,829 @@ +# Plan de Correction - HabitForge + +**Date:** 2025-12-30 +**BasĂ© sur:** `revue_critique_habitforge.md` +**Objectif:** Transformer HabitForge en une application professionnelle et production-ready + +--- + +## Vue d'ensemble + +Ce plan organise les corrections nĂ©cessaires en 5 phases prioritaires, des problĂšmes critiques de sĂ©curitĂ© jusqu'aux amĂ©liorations de l'expĂ©rience utilisateur. + +```mermaid +graph TD + A[Phase 1: SĂ©curitĂ© & StabilitĂ©] --> B[Phase 2: Architecture & QualitĂ©] + B --> C[Phase 3: Tests & CI/CD] + C --> D[Phase 4: ObservabilitĂ© & Performance] + D --> E[Phase 5: UX & Documentation] + + A --> A1[Configuration env vars] + A --> A2[Secrets management] + A --> A3[CORS & Rate limiting] + A --> A4[PostgreSQL migration] + A --> A5[HTTPS & Nginx] + + B --> B1[Restructuration backend] + B --> B2[Couche de services] + B --> B3[Modularisation frontend] + B --> B4[DX tools] + + C --> C1[Tests unitaires] + C --> C2[Tests intĂ©gration] + C --> C3[GitHub Actions CI/CD] + + D --> D1[Logging structurĂ©] + D --> D2[Health checks] + D --> D3[Performance DB] + + E --> E1[Notifications UI] + E --> E2[Documentation] +``` + +--- + +## Phase 1: SĂ©curitĂ© & StabilitĂ© (Critique) + +### 1.1 Configuration et Environment Variables + +**Objectif:** Éliminer toute configuration hardcodĂ©e et sĂ©curiser les secrets. + +#### Étape 1.1.1: CrĂ©er le module de configuration +- [x] CrĂ©er `backend/core/config.py` avec `pydantic_settings` +- [x] DĂ©finir la classe `Settings` avec tous les paramĂštres +- [x] Configurer le chargement depuis `.env` +- [x] GĂ©nĂ©rer `SECRET_KEY` avec `token_urlsafe(32)` par dĂ©faut + +**Fichiers Ă  crĂ©er/modifier:** +- `backend/core/config.py` (nouveau) +- `backend/core/__init__.py` (nouveau) + +#### Étape 1.1.2: CrĂ©er les fichiers d'environnement +- [x] CrĂ©er `.env.example` avec tous les paramĂštres documentĂ©s +- [x] CrĂ©er `.env.development` (gitignored) +- [ ] CrĂ©er `.env.staging` (gitignored) +- [ ] CrĂ©er `.env.production` (gitignored) + +**Fichiers Ă  crĂ©er:** +- `.env.example` +- `.env.development` +- `.env.staging` +- `.env.production` + +#### Étape 1.1.3: Mettre Ă  jour .gitignore +- [ ] Ajouter `.env*` (sauf `.env.example`) +- [ ] Ajouter `backend/client_secret*.json` +- [ ] Ajouter `data/*.db` +- [ ] Ajouter `__pycache__/`, `*.pyc`, `.pytest_cache/` +- [ ] Ajouter `.coverage`, `htmlcov/` +- [ ] Ajouter `node_modules/`, `.DS_Store` + +**Fichiers Ă  modifier:** +- `.gitignore` + +#### Étape 1.1.4: Migrer le code vers la configuration centralisĂ©e +- [x] Modifier `backend/auth.py` pour utiliser `settings.SECRET_KEY` +- [x] Modifier `backend/main.py` pour utiliser `settings.CORS_ORIGINS` +- [x] Modifier `backend/database.py` pour utiliser `settings.DATABASE_URL` +- [x] Modifier `backend/google_fit.py` pour utiliser les env vars Google + +**Fichiers Ă  modifier:** +- `backend/auth.py` +- `backend/main.py` +- `backend/database.py` +- `backend/google_fit.py` + +--- + +### 1.2 SĂ©curitĂ© des Secrets + +**Objectif:** Supprimer tous les secrets hardcodĂ©s du code. + +#### Étape 1.2.1: Nettoyer les secrets Google +- [x] Supprimer `backend/client_secret_947199050300-boi4r9r8eekmv61h748lrvjmvp1f2v38.apps.googleusercontent.com.json` +- [x] Supprimer `backend/client_secret.json` du git +- [ ] Documenter la configuration des credentials Google dans `.env.example` + +**Fichiers Ă  supprimer:** +- `backend/client_secret_947199050300-boi4r9r8eekmv61h748lrvjmvp1f2v38.apps.googleusercontent.com.json` +- `backend/client_secret.json` + +#### Étape 1.2.2: Supprimer le SECRET_KEY hardcodĂ© +- [x] Remplacer `"supersecretkey_change_me_in_production"` dans `backend/auth.py` +- [x] Utiliser `settings.SECRET_KEY` Ă  la place + +**Fichiers Ă  modifier:** +- `backend/auth.py` + +--- + +### 1.3 CORS et Rate Limiting + +**Objectif:** SĂ©curiser les accĂšs API et prĂ©venir les attaques DoS. + +#### Étape 1.3.1: Configurer CORS sĂ©curisĂ© +- [x] Modifier `backend/main.py` pour utiliser `settings.CORS_ORIGINS` +- [x] Supprimer `allow_origins=["*"]` +- [x] Configurer `allow_credentials=True` +- [x] Configurer `allow_methods` et `allow_headers` explicites + +**Fichiers Ă  modifier:** +- `backend/main.py` + +#### Étape 1.3.2: Ajouter rate limiting +- [x] Installer `slowapi` +- [x] Configurer `Limiter` dans `backend/main.py` +- [ ] Ajouter rate limit sur les endpoints d'authentification +- [ ] Ajouter rate limit sur les endpoints de crĂ©ation/modification + +**Fichiers Ă  modifier:** +- `requirements.txt` +- `backend/main.py` + +--- + +### 1.4 Migration PostgreSQL + +**Objectif:** Remplacer SQLite par PostgreSQL pour la production. + +#### Étape 1.4.1: PrĂ©parer la migration +- [ ] Installer `psycopg2-binary` dans `requirements.txt` +- [ ] CrĂ©er un script de migration des donnĂ©es SQLite vers PostgreSQL +- [ ] Documenter le processus de migration + +**Fichiers Ă  crĂ©er/modifier:** +- `requirements.txt` +- `scripts/migrate_to_postgres.py` (nouveau) + +#### Étape 1.4.2: Configurer PostgreSQL +- [ ] Mettre Ă  jour `docker-compose.yml` pour PostgreSQL +- [ ] CrĂ©er `docker-compose.dev.yml` pour dĂ©veloppement +- [ ] CrĂ©er `docker-compose.prod.yml` pour production +- [ ] Configurer les volumes persistants + +**Fichiers Ă  crĂ©er/modifier:** +- `docker-compose.yml` +- `docker-compose.dev.yml` (nouveau) +- `docker-compose.prod.yml` (nouveau) + +#### Étape 1.4.3: ExĂ©cuter la migration +- [ ] Sauvegarder les donnĂ©es SQLite existantes +- [ ] ExĂ©cuter le script de migration +- [ ] VĂ©rifier l'intĂ©gritĂ© des donnĂ©es +- [ ] Mettre Ă  jour les migrations Alembic si nĂ©cessaire + +--- + +### 1.5 HTTPS et Reverse Proxy + +**Objectif:** SĂ©curiser les communications en production. + +#### Étape 1.5.1: Configurer Nginx +- [ ] CrĂ©er `nginx/nginx.conf` +- [ ] Configurer SSL/TLS avec Let's Encrypt +- [ ] Configurer le reverse proxy vers FastAPI +- [ ] Servir les fichiers statiques via Nginx + +**Fichiers Ă  crĂ©er:** +- `nginx/nginx.conf` (nouveau) +- `nginx/Dockerfile` (nouveau) + +#### Étape 1.5.2: Configurer Gunicorn +- [ ] Installer `gunicorn` dans `requirements.txt` +- [ ] CrĂ©er un script de dĂ©marrage avec Gunicorn +- [ ] Configurer le nombre de workers + +**Fichiers Ă  crĂ©er/modifier:** +- `requirements.txt` +- `scripts/start_prod.sh` (nouveau) + +#### Étape 1.5.3: Mettre Ă  jour Docker Compose +- [ ] Ajouter le service Nginx dans `docker-compose.prod.yml` +- [ ] Configurer les rĂ©seaux Docker +- [ ] Configurer les health checks + +**Fichiers Ă  modifier:** +- `docker-compose.prod.yml` + +--- + +### 1.6 Backups de Base de DonnĂ©es + +**Objectif:** Automatiser les sauvegardes de la base de donnĂ©es. + +#### Étape 1.6.1: CrĂ©er le script de backup +- [ ] CrĂ©er `scripts/backup_db.sh` +- [ ] Configurer la rotation des backups +- [ ] Compresser les backups +- [ ] Envoyer les backups vers un stockage externe (optionnel) + +**Fichiers Ă  crĂ©er:** +- `scripts/backup_db.sh` (nouveau) + +#### Étape 1.6.2: Automatiser les backups +- [ ] Configurer un cron job dans Docker +- [ ] Documenter la procĂ©dure de restauration + +**Fichiers Ă  modifier:** +- `docker-compose.prod.yml` + +--- + +## Phase 2: Architecture & QualitĂ© + +### 2.1 Restructuration du Backend + +**Objectif:** Organiser le code backend selon les principes de Clean Architecture. + +#### Étape 2.1.1: CrĂ©er la nouvelle structure de dossiers +- [x] CrĂ©er `backend/api/v1/` pour les routes +- [x] CrĂ©er `backend/core/` pour la configuration et sĂ©curitĂ© +- [x] CrĂ©er `backend/models/` pour les SQLAlchemy models +- [x] CrĂ©er `backend/schemas/` pour les Pydantic schemas +- [x] CrĂ©er `backend/services/` pour la logique mĂ©tier +- [x] CrĂ©er `backend/repositories/` pour l'accĂšs aux donnĂ©es +- [x] CrĂ©er `backend/integrations/` pour les APIs externes + +**Dossiers Ă  crĂ©er:** +- `backend/api/v1/` +- `backend/core/` +- `backend/models/` +- `backend/schemas/` +- `backend/services/` +- `backend/repositories/` +- `backend/integrations/` + +#### Étape 2.1.2: Extraire les routes +- [x] CrĂ©er `backend/api/v1/auth.py` avec les endpoints d'auth +- [x] CrĂ©er `backend/api/v1/challenges.py` avec les endpoints challenges +- [x] CrĂ©er `backend/api/v1/health.py` avec le health check +- [x] CrĂ©er `backend/api/v1/__init__.py` pour l'agrĂ©gation + +**Fichiers Ă  crĂ©er:** +- `backend/api/v1/auth.py` +- `backend/api/v1/challenges.py` +- `backend/api/v1/health.py` +- `backend/api/v1/__init__.py` + +#### Étape 2.1.3: SĂ©parer models et schemas +- [x] DĂ©placer les SQLAlchemy models vers `backend/models/` +- [x] CrĂ©er `backend/models/__init__.py` +- [x] Extraire les Pydantic schemas vers `backend/schemas/` +- [x] CrĂ©er `backend/schemas/__init__.py` + +**Fichiers Ă  crĂ©er/modifier:** +- `backend/models/user.py` +- `backend/models/challenge.py` +- `backend/models/tracking.py` +- `backend/models/__init__.py` +- `backend/schemas/user.py` +- `backend/schemas/challenge.py` +- `backend/schemas/tracking.py` +- `backend/schemas/__init__.py` + +#### Étape 2.1.4: CrĂ©er la couche de services +- [ ] CrĂ©er `backend/services/auth_service.py` +- [ ] CrĂ©er `backend/services/challenge_service.py` +- [ ] CrĂ©er `backend/services/health_service.py` +- [ ] CrĂ©er `backend/services/__init__.py` + +**Fichiers Ă  crĂ©er:** +- `backend/services/auth_service.py` +- `backend/services/challenge_service.py` +- `backend/services/health_service.py` +- `backend/services/__init__.py` + +#### Étape 2.1.5: CrĂ©er la couche de repositories +- [ ] CrĂ©er `backend/repositories/base.py` avec le repository de base +- [ ] CrĂ©er `backend/repositories/user_repository.py` +- [ ] CrĂ©er `backend/repositories/challenge_repository.py` +- [ ] CrĂ©er `backend/repositories/__init__.py` + +**Fichiers Ă  crĂ©er:** +- `backend/repositories/base.py` +- `backend/repositories/user_repository.py` +- `backend/repositories/challenge_repository.py` +- `backend/repositories/__init__.py` + +#### Étape 2.1.6: DĂ©placer les intĂ©grations +- [x] DĂ©placer `backend/google_fit.py` vers `backend/integrations/` +- [x] DĂ©placer `backend/import_zepp.py` vers `backend/integrations/` +- [x] CrĂ©er `backend/integrations/__init__.py` + +**Fichiers Ă  dĂ©placer/crĂ©er:** +- `backend/integrations/google_fit.py` +- `backend/integrations/import_zepp.py` +- `backend/integrations/__init__.py` + +#### Étape 2.1.7: CrĂ©er les modules core +- [ ] CrĂ©er `backend/core/security.py` avec les fonctions de sĂ©curitĂ© +- [ ] CrĂ©er `backend/core/deps.py` avec les dĂ©pendances FastAPI +- [x] CrĂ©er `backend/core/__init__.py` + +**Fichiers Ă  crĂ©er:** +- `backend/core/security.py` +- `backend/core/deps.py` +- `backend/core/__init__.py` + +#### Étape 2.1.8: Simplifier main.py +- [ ] Nettoyer `backend/main.py` pour ne contenir que l'initialisation +- [ ] Supprimer `models.Base.metadata.create_all(bind=database.engine)` +- [ ] Enregistrer les routers depuis `api/v1/` +- [ ] Configurer le middleware de gestion d'erreurs + +**Fichiers Ă  modifier:** +- `backend/main.py` + +--- + +### 2.2 Modularisation du Frontend + +**Objectif:** DĂ©couper le fichier monolithique `app.js` en modules cohĂ©rents. + +#### Étape 2.2.1: CrĂ©er la structure de modules +- [ ] CrĂ©er `frontend/api/` pour les appels API +- [ ] CrĂ©er `frontend/components/` pour les composants UI +- [ ] CrĂ©er `frontend/utils/` pour les utilitaires +- [ ] CrĂ©er `frontend/state/` pour la gestion d'Ă©tat + +**Dossiers Ă  crĂ©er:** +- `frontend/api/` +- `frontend/components/` +- `frontend/utils/` +- `frontend/state/` + +#### Étape 2.2.2: CrĂ©er le service API +- [ ] CrĂ©er `frontend/api/client.js` avec le client HTTP +- [ ] CrĂ©er `frontend/api/auth.js` pour les endpoints d'auth +- [ ] CrĂ©er `frontend/api/challenges.js` pour les endpoints challenges +- [ ] Supprimer le fetch wrapper monkey-patch + +**Fichiers Ă  crĂ©er:** +- `frontend/api/client.js` +- `frontend/api/auth.js` +- `frontend/api/challenges.js` + +#### Étape 2.2.3: Extraire les composants UI +- [ ] CrĂ©er `frontend/components/ChallengeList.js` +- [ ] CrĂ©er `frontend/components/ChallengeForm.js` +- [ ] CrĂ©er `frontend/components/TrackingForm.js` +- [ ] CrĂ©er `frontend/components/Charts.js` +- [ ] CrĂ©er `frontend/components/Navigation.js` + +**Fichiers Ă  crĂ©er:** +- `frontend/components/ChallengeList.js` +- `frontend/components/ChallengeForm.js` +- `frontend/components/TrackingForm.js` +- `frontend/components/Charts.js` +- `frontend/components/Navigation.js` + +#### Étape 2.2.4: CrĂ©er les utilitaires +- [ ] CrĂ©er `frontend/utils/notifications.js` pour les toasts +- [ ] CrĂ©er `frontend/utils/storage.js` pour localStorage +- [ ] CrĂ©er `frontend/utils/date.js` pour les formats de date + +**Fichiers Ă  crĂ©er:** +- `frontend/utils/notifications.js` +- `frontend/utils/storage.js` +- `frontend/utils/date.js` + +#### Étape 2.2.5: CrĂ©er la gestion d'Ă©tat +- [ ] CrĂ©er `frontend/state/store.js` avec un store simple +- [ ] CrĂ©er `frontend/state/actions.js` pour les actions +- [ ] CrĂ©er `frontend/state/reducers.js` pour les reducers + +**Fichiers Ă  crĂ©er:** +- `frontend/state/store.js` +- `frontend/state/actions.js` +- `frontend/state/reducers.js` + +#### Étape 2.2.6: Simplifier app.js +- [ ] RĂ©Ă©crire `app.js` pour utiliser les modules +- [ ] Initialiser l'application +- [ ] GĂ©rer le routing basique + +**Fichiers Ă  modifier:** +- `frontend/app.js` + +--- + +### 2.3 ExpĂ©rience DĂ©veloppeur (DX) + +**Objectif:** AmĂ©liorer les outils de dĂ©veloppement. + +#### Étape 2.3.1: Configurer Ruff (linter/formatter) +- [ ] Installer `ruff` dans `requirements.txt` +- [ ] CrĂ©er `ruff.toml` avec la configuration +- [ ] Configurer les rĂšgles de linting + +**Fichiers Ă  crĂ©er/modifier:** +- `requirements.txt` +- `ruff.toml` (nouveau) + +#### Étape 2.3.2: Configurer MyPy (type checking) +- [ ] Installer `mypy` dans `requirements.txt` +- [ ] CrĂ©er `mypy.ini` avec la configuration +- [ ] Ajouter les stubs nĂ©cessaires + +**Fichiers Ă  crĂ©er/modifier:** +- `requirements.txt` +- `mypy.ini` (nouveau) + +#### Étape 2.3.3: Configurer pre-commit hooks +- [ ] CrĂ©er `.pre-commit-config.yaml` +- [ ] Configurer les hooks Ruff et MyPy +- [ ] Documenter l'installation + +**Fichiers Ă  crĂ©er:** +- `.pre-commit-config.yaml` + +#### Étape 2.3.4: CrĂ©er un Makefile +- [ ] CrĂ©er `Makefile` avec les commandes de dev +- [ ] Ajouter les cibles: dev, test, lint, format, migrate + +**Fichiers Ă  crĂ©er:** +- `Makefile` + +--- + +## Phase 3: Tests & CI/CD + +### 3.1 Tests Backend + +**Objectif:** Mettre en place une couverture de tests minimale. + +#### Étape 3.1.1: Configurer pytest +- [ ] Installer `pytest`, `pytest-cov`, `pytest-asyncio` dans `requirements.txt` +- [ ] CrĂ©er `pytest.ini` avec la configuration +- [ ] CrĂ©er `tests/conftest.py` avec les fixtures + +**Fichiers Ă  crĂ©er/modifier:** +- `requirements.txt` +- `pytest.ini` (nouveau) +- `tests/conftest.py` (nouveau) + +#### Étape 3.1.2: Tests unitaires des services +- [ ] CrĂ©er `tests/unit/test_auth_service.py` +- [ ] CrĂ©er `tests/unit/test_challenge_service.py` +- [ ] CrĂ©er `tests/unit/test_health_service.py` + +**Fichiers Ă  crĂ©er:** +- `tests/unit/test_auth_service.py` +- `tests/unit/test_challenge_service.py` +- `tests/unit/test_health_service.py` + +#### Étape 3.1.3: Tests d'intĂ©gration API +- [ ] CrĂ©er `tests/integration/test_api_auth.py` +- [ ] CrĂ©er `tests/integration/test_api_challenges.py` +- [ ] CrĂ©er `tests/integration/test_api_health.py` + +**Fichiers Ă  crĂ©er:** +- `tests/integration/test_api_auth.py` +- `tests/integration/test_api_challenges.py` +- `tests/integration/test_api_health.py` + +#### Étape 3.1.4: Tests E2E +- [ ] CrĂ©er `tests/e2e/test_user_flow.py` +- [ ] Tester le flux complet: inscription → login → crĂ©ation challenge → tracking + +**Fichiers Ă  crĂ©er:** +- `tests/e2e/test_user_flow.py` + +--- + +### 3.2 CI/CD avec GitHub Actions + +**Objectif:** Automatiser les tests et le dĂ©ploiement. + +#### Étape 3.2.1: CrĂ©er le workflow CI +- [ ] CrĂ©er `.github/workflows/ci.yml` +- [ ] Configurer le job de tests +- [ ] Configurer le job de linting +- [ ] Configurer le reporting de couverture + +**Fichiers Ă  crĂ©er:** +- `.github/workflows/ci.yml` + +#### Étape 3.2.2: CrĂ©er le workflow CD +- [ ] CrĂ©er `.github/workflows/cd.yml` +- [ ] Configurer le dĂ©ploiement vers staging +- [ ] Configurer le dĂ©ploiement vers production + +**Fichiers Ă  crĂ©er:** +- `.github/workflows/cd.yml` + +--- + +## Phase 4: ObservabilitĂ© & Performance + +### 4.1 ObservabilitĂ© + +**Objectif:** Mettre en place le monitoring et le logging. + +#### Étape 4.1.1: Logging structurĂ© +- [ ] Installer `python-json-logger` dans `requirements.txt` +- [ ] CrĂ©er `backend/core/logging.py` +- [ ] Configurer le logging JSON +- [ ] Remplacer les `print()` par des `logger.info()` + +**Fichiers Ă  crĂ©er/modifier:** +- `requirements.txt` +- `backend/core/logging.py` + +#### Étape 4.1.2: Health check endpoint +- [ ] CrĂ©er le endpoint `/api/health` +- [ ] VĂ©rifier la connexion Ă  la base de donnĂ©es +- [ ] Retourner le statut de l'application + +**Fichiers Ă  modifier:** +- `backend/api/v1/health.py` + +#### Étape 4.1.3: MĂ©triques Prometheus +- [ ] Installer `prometheus-fastapi-instrumentator` dans `requirements.txt` +- [ ] Configurer l'instrumentation dans `main.py` +- [ ] Exposer le endpoint `/metrics` + +**Fichiers Ă  crĂ©er/modifier:** +- `requirements.txt` +- `backend/main.py` + +--- + +### 4.2 Performance Base de DonnĂ©es + +**Objectif:** Optimiser les requĂȘtes et l'indexation. + +#### Étape 4.2.1: Ajouter des indexes +- [ ] CrĂ©er une migration Alembic pour les indexes +- [ ] Ajouter index sur `challenges(user_id, display_order)` +- [ ] Ajouter index sur `challenges(user_id, period_type)` +- [ ] Ajouter index sur `tracking(challenge_id, date)` +- [ ] Ajouter index sur `tracking(date)` + +**Fichiers Ă  crĂ©er:** +- `alembic/versions/xxxx_add_indexes.py` + +#### Étape 4.2.2: Eager loading +- [ ] Modifier les repositories pour utiliser `selectinload` +- [ ] Éliminer les N+1 queries +- [ ] Optimiser les requĂȘtes d'agrĂ©gation + +**Fichiers Ă  modifier:** +- `backend/repositories/challenge_repository.py` + +#### Étape 4.2.3: Pagination +- [ ] Ajouter la pagination aux endpoints de liste +- [ ] CrĂ©er les schemas de pagination +- [ ] Documenter les paramĂštres de pagination + +**Fichiers Ă  crĂ©er/modifier:** +- `backend/schemas/pagination.py` +- `backend/api/v1/challenges.py` + +--- + +## Phase 5: UX & Documentation + +### 5.1 AmĂ©liorations UX + +**Objectif:** AmĂ©liorer l'expĂ©rience utilisateur. + +#### Étape 5.1.1: Notifications/Toasts +- [ ] CrĂ©er le systĂšme de notifications dans `frontend/utils/notifications.js` +- [ ] Ajouter des toasts pour les actions rĂ©ussies +- [ ] Ajouter des toasts pour les erreurs + +**Fichiers Ă  crĂ©er:** +- `frontend/utils/notifications.js` + +#### Étape 5.1.2: Loading states +- [ ] Ajouter des spinners pendant les appels API +- [ ] DĂ©sactiver les boutons pendant le chargement +- [ ] Ajouter des indicateurs de progression + +**Fichiers Ă  modifier:** +- `frontend/components/ChallengeForm.js` +- `frontend/components/TrackingForm.js` + +#### Étape 5.1.3: Gestion d'erreurs utilisateur +- [ ] Afficher des messages d'erreur clairs +- [ ] Proposer des solutions aux erreurs courantes +- [ ] Logger les erreurs cĂŽtĂ© client + +**Fichiers Ă  modifier:** +- `frontend/api/client.js` +- `frontend/app.js` + +--- + +### 5.2 Documentation + +**Objectif:** Documenter le projet pour les dĂ©veloppeurs. + +#### Étape 5.2.1: Docstrings API +- [ ] Ajouter des docstrings Ă  toutes les fonctions +- [ ] Documenter les paramĂštres et les retours +- [ ] Utiliser le format Google ou NumPy + +**Fichiers Ă  modifier:** +- Tous les fichiers Python dans `backend/` + +#### Étape 5.2.2: README amĂ©liorĂ© +- [ ] Mettre Ă  jour `README.md` +- [ ] Ajouter la section Installation +- [ ] Ajouter la section Configuration +- [ ] Ajouter la section DĂ©veloppement +- [ ] Ajouter la section DĂ©ploiement + +**Fichiers Ă  modifier:** +- `README.md` + +#### Étape 5.2.3: Architecture Decision Records (ADRs) +- [ ] CrĂ©er `docs/adr/` +- [ ] Documenter les dĂ©cisions d'architecture majeures +- [ ] Utiliser le template ADR standard + +**Fichiers Ă  crĂ©er:** +- `docs/adr/001-architecture-backend.md` +- `docs/adr/002-choix-postgresql.md` +- `docs/adr/003-securite-jwt.md` + +--- + +## RĂ©sumĂ© des Fichiers Ă  CrĂ©er + +### Configuration +- `.env.example` +- `.env.development` +- `.env.staging` +- `.env.production` +- `ruff.toml` +- `mypy.ini` +- `pytest.ini` +- `.pre-commit-config.yaml` +- `Makefile` + +### Backend - Core +- `backend/core/config.py` +- `backend/core/security.py` +- `backend/core/deps.py` +- `backend/core/logging.py` +- `backend/core/__init__.py` + +### Backend - API +- `backend/api/v1/auth.py` +- `backend/api/v1/challenges.py` +- `backend/api/v1/health.py` +- `backend/api/v1/__init__.py` + +### Backend - Models +- `backend/models/user.py` +- `backend/models/challenge.py` +- `backend/models/tracking.py` +- `backend/models/__init__.py` + +### Backend - Schemas +- `backend/schemas/user.py` +- `backend/schemas/challenge.py` +- `backend/schemas/tracking.py` +- `backend/schemas/pagination.py` +- `backend/schemas/__init__.py` + +### Backend - Services +- `backend/services/auth_service.py` +- `backend/services/challenge_service.py` +- `backend/services/health_service.py` +- `backend/services/__init__.py` + +### Backend - Repositories +- `backend/repositories/base.py` +- `backend/repositories/user_repository.py` +- `backend/repositories/challenge_repository.py` +- `backend/repositories/__init__.py` + +### Backend - Integrations +- `backend/integrations/google_fit.py` +- `backend/integrations/import_zepp.py` +- `backend/integrations/__init__.py` + +### Frontend - API +- `frontend/api/client.js` +- `frontend/api/auth.js` +- `frontend/api/challenges.js` + +### Frontend - Components +- `frontend/components/ChallengeList.js` +- `frontend/components/ChallengeForm.js` +- `frontend/components/TrackingForm.js` +- `frontend/components/Charts.js` +- `frontend/components/Navigation.js` + +### Frontend - Utils +- `frontend/utils/notifications.js` +- `frontend/utils/storage.js` +- `frontend/utils/date.js` + +### Frontend - State +- `frontend/state/store.js` +- `frontend/state/actions.js` +- `frontend/state/reducers.js` + +### Tests +- `tests/conftest.py` +- `tests/unit/test_auth_service.py` +- `tests/unit/test_challenge_service.py` +- `tests/unit/test_health_service.py` +- `tests/integration/test_api_auth.py` +- `tests/integration/test_api_challenges.py` +- `tests/integration/test_api_health.py` +- `tests/e2e/test_user_flow.py` + +### CI/CD +- `.github/workflows/ci.yml` +- `.github/workflows/cd.yml` + +### Docker & Nginx +- `docker-compose.dev.yml` +- `docker-compose.prod.yml` +- `nginx/nginx.conf` +- `nginx/Dockerfile` + +### Scripts +- `scripts/migrate_to_postgres.py` +- `scripts/backup_db.sh` +- `scripts/start_prod.sh` + +### Documentation +- `docs/adr/001-architecture-backend.md` +- `docs/adr/002-choix-postgresql.md` +- `docs/adr/003-securite-jwt.md` + +--- + +## Checklist de Validation + +Avant de considĂ©rer le projet comme "production-ready", vĂ©rifier: + +### SĂ©curitĂ© +- [ ] Aucun secret hardcodĂ© dans le code +- [ ] CORS configurĂ© avec des origines spĂ©cifiques +- [ ] Rate limiting activĂ© +- [ ] HTTPS configurĂ© en production +- [ ] Secrets Google exclus du git + +### Base de DonnĂ©es +- [ ] PostgreSQL utilisĂ© en production +- [ ] Backups automatisĂ©s en place +- [ ] Indexes crĂ©Ă©s sur les colonnes frĂ©quentes +- [ ] N+1 queries Ă©liminĂ©es + +### Architecture +- [ ] Backend restructurĂ© avec sĂ©paration des responsabilitĂ©s +- [ ] Couche de services crĂ©Ă©e +- [ ] Frontend modularisĂ© +- [ ] Configuration centralisĂ©e + +### Tests +- [ ] Tests unitaires backend crĂ©Ă©s +- [ ] Tests d'intĂ©gration API crĂ©Ă©s +- [ ] Tests E2E crĂ©Ă©s +- [ ] Couverture minimale de 70% + +### CI/CD +- [ ] Pipeline CI configurĂ© +- [ ] Pipeline CD configurĂ© +- [ ] Tests exĂ©cutĂ©s automatiquement + +### ObservabilitĂ© +- [ ] Logging structurĂ© en place +- [ ] Health check endpoint crĂ©Ă© +- [ ] MĂ©triques Prometheus exposĂ©es + +### DX +- [ ] Linter configurĂ© (Ruff) +- [ ] Type checker configurĂ© (MyPy) +- [ ] Pre-commit hooks configurĂ©s +- [ ] Makefile crĂ©Ă© + +### Documentation +- [ ] README Ă  jour +- [ ] Docstrings ajoutĂ©es +- [ ] ADRs crĂ©Ă©s + +--- + +## Notes Importantes + +1. **Ordre d'exĂ©cution:** Les phases doivent ĂȘtre exĂ©cutĂ©es dans l'ordre indiquĂ©. La Phase 1 (SĂ©curitĂ©) est critique et doit ĂȘtre complĂ©tĂ©e avant tout dĂ©ploiement en production. + +2. **Tests continus:** À chaque Ă©tape, exĂ©cuter les tests existants pour s'assurer que rien n'est cassĂ©. + +3. **Documentation:** Mettre Ă  jour la documentation Ă  mesure que des changements sont apportĂ©s. + +4. **Commits:** Faire des commits frĂ©quents et descriptifs pour faciliter le rollback si nĂ©cessaire. + +5. **Review:** Faire une revue de code aprĂšs chaque phase majeure. + +--- + +**Fin du Plan de Correction** diff --git a/plans/revue_critique_habitforge.md b/plans/revue_critique_habitforge.md new file mode 100644 index 0000000..4094358 --- /dev/null +++ b/plans/revue_critique_habitforge.md @@ -0,0 +1,720 @@ +# Revue Critique ComplĂšte - HabitForge + +**Date:** 2025-12-30 +**Type:** Revue Architecture & QualitĂ© Logicielle +**Statut Actuel:** Fonctionnel / Prototype + +--- + +## 1. Architecture Globale + +### 1.1 Structure du Projet + +**État Actuel:** +``` +HabitForge/ +├── backend/ # Monolithique, tout dans un dossier +├── frontend/ # Fichiers statiques (HTML/JS/CSS) +├── data/ # SQLite en local +├── alembic/ # Migrations +└── docker-compose.yml +``` + +**ProblĂšmes IdentifiĂ©s:** + +| # | ProblĂšme | PrioritĂ© | Impact | +|---|----------|----------|--------| +| 1 | **Monolithisme sans sĂ©paration claire** - Tout le code backend est dans un seul dossier `backend/` sans sous-modules (services, repositories, schemas, routes) | Important | MaintenabilitĂ©, ÉvolutivitĂ© | +| 2 | **Absence de couche de services** - La logique mĂ©tier est directement dans les routes de [`main.py`](backend/main.py:1) | Important | TestabilitĂ©, RĂ©utilisation | +| 3 | **Frontend non structurĂ©** - [`app.js`](frontend/app.js:1) contient 2286 lignes, mĂ©lange UI, API calls, state management | Critique | MaintenabilitĂ©, DX | +| 4 | **Pas de sĂ©paration des prĂ©occupations** - Models et Pydantic schemas dans le mĂȘme fichier [`models.py`](backend/models.py:1) | Important | Clean Architecture | +| 5 | **Configuration hardcodĂ©e** - Secrets et URLs en dur dans le code | Critique | SĂ©curitĂ©, DĂ©ploiement | + +**Solutions RecommandĂ©es:** + +``` +backend/ +├── api/ # Routes/endpoints +│ ├── v1/ +│ │ ├── auth.py +│ │ ├── challenges.py +│ │ ├── health.py +│ │ └── __init__.py +├── core/ # Configuration, sĂ©curitĂ© +│ ├── config.py +│ ├── security.py +│ └── deps.py +├── models/ # SQLAlchemy models +├── schemas/ # Pydantic schemas +├── services/ # Business logic +│ ├── auth_service.py +│ ├── challenge_service.py +│ └── health_service.py +├── repositories/ # Data access layer +├── integrations/ # External APIs (Google Fit, Zepp) +└── main.py # Application entry point only +``` + +--- + +## 2. QualitĂ© du Code + +### 2.1 Backend + +**ProblĂšmes:** + +| # | ProblĂšme | PrioritĂ© | Solution | +|---|----------|----------|----------| +| 1 | **Auto-creation des tables au dĂ©marrage** ([`main.py:15`](backend/main.py:15)) - Contourne Alembic | Important | Supprimer `create_all`, utiliser uniquement Alembic | +| 2 | **CORS permissif** ([`main.py:25`](backend/main.py:25)) - `allow_origins=["*"]` | Critique | Configurer les origines autorisĂ©es via env | +| 3 | **Pas de validation des entrĂ©es** - Les endpoints acceptent tout sans validation stricte | Important | Renforcer les Pydantic models | +| 4 | **Pas de gestion d'erreurs centralisĂ©e** - Try/catch dispersĂ©s | Important | CrĂ©er un middleware de gestion d'exceptions | +| 5 | **Code dupliquĂ©** - Logique d'agrĂ©gation rĂ©pĂ©tĂ©e dans [`main.py:278-343`](backend/main.py:278) | Nice-to-have | Extraire dans des fonctions utilitaires | +| 6 | **Imports cycliques potentiels** - [`import_zepp.py`](backend/import_zepp.py:8) importe depuis backend | Important | Restructurer les imports | + +**Exemple de code problĂ©matique:** +```python +# main.py:15 - À SUPPRIMER +models.Base.metadata.create_all(bind=database.engine) +``` + +### 2.2 Frontend + +**ProblĂšmes:** + +| # | ProblĂšme | PrioritĂ© | Solution | +|---|----------|----------|----------| +| 1 | **Fichier monolithique** - [`app.js`](frontend/app.js:1) = 2286 lignes | Critique | Modulariser (modules ES6 ou framework) | +| 2 | **Pas de gestion d'Ă©tat structurĂ©e** - State global basique | Important | Adopter un pattern (Redux, Zustand, ou Context API) | +| 3 | **Fetch wrapper monkey-patch** ([`app.js:10`](frontend/app.js:10)) - Fragile | Important | CrĂ©er un service API dĂ©diĂ© | +| 4 | **Pas de TypeScript** - Erreurs de type possibles | Important | Migrer vers TypeScript | +| 5 | **Code inline dans HTML** - Scripts et styles mĂ©langĂ©s | Nice-to-have | SĂ©parer complĂštement | +| 6 | **Pas de tests frontend** | Important | Ajouter Vitest/Jest + Testing Library | + +--- + +## 3. SĂ©curitĂ© + +### 3.1 ProblĂšmes Critiques + +| # | ProblĂšme | PrioritĂ© | Impact | Solution | +|---|----------|----------|--------|----------| +| 1 | **SECRET_KEY hardcodĂ©** ([`auth.py:7`](backend/auth.py:7)) - `"supersecretkey_change_me_in_production"` | Critique | Compromission JWT | Utiliser `python-secrets` + env var | +| 2 | **CORS ouvert** ([`main.py:25`](backend/main.py:25)) - `allow_origins=["*"]` | Critique | CSRF, XSS | Configurer via env | +| 3 | **Pas de rate limiting** | Critique | DoS, brute force | Ajouter slowapi ou limiter | +| 4 | **Pas de validation des mots de passe** | Important | SĂ©curitĂ© utilisateur | Ajouter zxcvbn ou similaire | +| 5 | **Token JWT sans refresh** | Important | UX, SĂ©curitĂ© | ImplĂ©menter refresh tokens | +| 6 | **Pas de HTTPS enforcement** | Critique | MITM | Configurer HTTPS en prod | +| 7 | **Client secrets Google exposĂ©s** ([`backend/`](backend/)) | Critique | Compromission OAuth | Exclure du git, utiliser env | +| 8 | **Pas de sanitization des inputs** | Important | Injection | Valider tous les inputs | + +### 3.2 Solutions ImmĂ©diates + +**CrĂ©er `backend/core/config.py`:** +```python +from pydantic_settings import BaseSettings +from secrets import token_urlsafe + +class Settings(BaseSettings): + SECRET_KEY: str = token_urlsafe(32) + ALGORITHM: str = "HS256" + ACCESS_TOKEN_EXPIRE_MINUTES: int = 30 + DATABASE_URL: str = "sqlite:///./data/habitforge.db" + CORS_ORIGINS: list[str] = ["http://localhost:8000"] + + class Config: + env_file = ".env" + +settings = Settings() +``` + +**CrĂ©er `.env.example`:** +```env +SECRET_KEY=your-secret-key-here +DATABASE_URL=postgresql://user:pass@localhost/habitforge +CORS_ORIGINS=http://localhost:8000,https://yourdomain.com +GOOGLE_CLIENT_ID=your-client-id +GOOGLE_CLIENT_SECRET=your-client-secret +``` + +--- + +## 4. Choix Technologiques + +### 4.1 Backend + +| Choix | Évaluation | Alternatives | Recommandation | +|-------|------------|--------------|----------------| +| **FastAPI** | ✅ Excellent - Moderne, rapide, auto-doc | Flask, Django | **Garder** | +| **SQLite** | ⚠ OK pour dev, pas pour prod | PostgreSQL, MySQL | **Migrer vers PostgreSQL** | +| **SQLAlchemy** | ✅ Bon choix | Tortoise ORM, SQLModel | **Garder** | +| **Alembic** | ✅ Bon choix | - | **Garder** | +| **Argon2** | ✅ Excellent | bcrypt | **Garder** | +| **OAuth2 Password Flow** | ⚠ DĂ©prĂ©ciĂ© pour SPA | PKCE, OpenID Connect | **Migrer vers PKCE** | + +### 4.2 Frontend + +| Choix | Évaluation | Alternatives | Recommandation | +|-------|------------|--------------|----------------| +| **Vanilla JS** | ⚠ Simple mais limite l'Ă©volutivitĂ© | React, Vue, Svelte | **Migrer vers React/Vue** | +| **Tailwind CDN** | ⚠ Pas optimisĂ© pour prod | Tailwind build, CSS-in-JS | **Build step avec PostCSS** | +| **Chart.js** | ✅ OK pour simple charts | Recharts, ApexCharts | **Garder ou migrer** | +| **SortableJS** | ✅ Bon choix | - | **Garder** | + +--- + +## 5. Performance et ScalabilitĂ© + +### 5.1 ProblĂšmes IdentifiĂ©s + +| # | ProblĂšme | PrioritĂ© | Solution | +|---|----------|----------|----------| +| 1 | **N+1 queries** - [`read_challenges`](backend/main.py:116) charge tous les trackings | Important | Eager loading avec `selectinload` | +| 2 | **Pas de pagination** - Tous les challenges chargĂ©s | Important | Ajouter pagination | +| 3 | **Pas de cache** - Chaque requĂȘte hit la DB | Important | Ajouter Redis ou cache HTTP | +| 4 | **Pas d'indexation** - Index manquants sur les colonnes frĂ©quentes | Important | Ajouter des indexes | +| 5 | **Frontend sans lazy loading** - Tout chargĂ© au dĂ©marrage | Nice-to-have | Code splitting | +| 6 | **Google Fit sync synchrone** - Bloque la rĂ©ponse | Important | Background task (Celery) | + +### 5.2 Optimisations RecommandĂ©es + +**Indexation de la DB:** +```python +# models.py - Ajouter des indexes +class Challenge(Base): + __tablename__ = "challenges" + # ... existing fields ... + __table_args__ = ( + Index('idx_user_display_order', 'user_id', 'display_order'), + Index('idx_user_period', 'user_id', 'period_type'), + ) + +class Tracking(Base): + __tablename__ = "tracking" + # ... existing fields ... + __table_args__ = ( + Index('idx_challenge_date', 'challenge_id', 'date'), + Index('idx_date', 'date'), + ) +``` + +**Eager Loading:** +```python +from sqlalchemy.orm import selectinload + +@app.get("/api/challenges") +def read_challenges(db: Session = Depends(get_db), current_user: models.User = Depends(get_current_user)): + challenges = db.query(models.Challenge)\ + .options(selectinload(models.Challenge.trackings))\ + .filter(models.Challenge.user_id == current_user.id)\ + .order_by(models.Challenge.display_order.asc())\ + .all() + return challenges +``` + +--- + +## 6. Configuration et Gestion des Environnements + +### 6.1 État Actuel + +| Aspect | État | ProblĂšme | +|--------|------|----------| +| **Dev** | ✅ Fonctionnel | - | +| **Staging** | ❌ Inexistant | Pas d'environnement intermĂ©diaire | +| **Prod** | ❌ Non configurĂ© | Pas de config prod sĂ©parĂ©e | +| **Env vars** | ❌ Absentes | Tout hardcodĂ© | +| **Secrets management** | ❌ Aucun | Secrets dans le code | + +### 6.2 Solutions + +**Structure des environnements:** +``` +.env.example # Template +.env.development # Dev (gitignored) +.env.staging # Staging (gitignored) +.env.production # Prod (gitignored) +docker-compose.dev.yml +docker-compose.prod.yml +``` + +**Docker Compose multi-environnement:** +```yaml +# docker-compose.prod.yml +version: "3.8" +services: + web: + build: . + env_file: + - .env.production + restart: unless-stopped + healthcheck: + test: ["CMD", "curl", "-f", "http://localhost:8000/api/health"] + interval: 30s + timeout: 10s + retries: 3 + db: + image: postgres:15-alpine + volumes: + - postgres_data:/var/lib/postgresql/data + env_file: + - .env.production + +volumes: + postgres_data: +``` + +--- + +## 7. ObservabilitĂ© + +### 7.1 État Actuel + +| Aspect | État | ProblĂšme | +|--------|------|----------| +| **Logs** | ⚠ `print()` statements | Pas de logging structurĂ© | +| **MĂ©triques** | ❌ Aucune | Impossible de monitorer | +| **Tracing** | ❌ Aucun | Pas de distributed tracing | +| **Health checks** | ❌ Aucun | Pas de endpoint de santĂ© | +| **Error tracking** | ❌ Aucun | Erreurs silencieuses | + +### 7.2 Solutions + +**Logging structurĂ©:** +```python +# backend/core/logging.py +import logging +import sys +from pythonjsonlogger import jsonlogger + +def setup_logging(): + logger = logging.getLogger() + handler = logging.StreamHandler(sys.stdout) + formatter = jsonlogger.JsonFormatter( + '%(asctime)s %(name)s %(levelname)s %(message)s' + ) + handler.setFormatter(formatter) + logger.addHandler(handler) + logger.setLevel(logging.INFO) +``` + +**Health check endpoint:** +```python +@app.get("/api/health") +async def health_check(db: Session = Depends(get_db)): + try: + db.execute("SELECT 1") + return {"status": "healthy", "database": "connected"} + except Exception as e: + raise HTTPException(status_code=503, detail="Unhealthy") +``` + +**MĂ©triques avec Prometheus:** +```python +from prometheus_fastapi_instrumentator import Instrumentator + +Instrumentator().instrument(app).expose(app, endpoint="/metrics") +``` + +--- + +## 8. Tests et Validation + +### 8.1 État Actuel + +| Type | État | Couverture | +|------|------|------------| +| **Tests unitaires** | ❌ Aucun | 0% | +| **Tests d'intĂ©gration** | ❌ Aucun | 0% | +| **Tests E2E** | ❌ Aucun | 0% | +| **Tests API** | ❌ Aucun | 0% | +| **Type checking** | ❌ Aucun | N/A | + +### 8.2 Solutions + +**Structure de tests:** +``` +tests/ +├── unit/ +│ ├── test_auth_service.py +│ ├── test_challenge_service.py +│ └── test_health_service.py +├── integration/ +│ ├── test_api_auth.py +│ ├── test_api_challenges.py +│ └── test_api_health.py +├── e2e/ +│ └── test_user_flow.py +└── conftest.py +``` + +**Exemple de test:** +```python +# tests/integration/test_api_challenges.py +import pytest +from fastapi.testclient import TestClient +from backend.main import app + +client = TestClient(app) + +def test_create_challenge(auth_headers): + response = client.post( + "/api/challenges", + json={ + "name": "Push-ups", + "period_type": "daily", + "daily_target": 50, + "start_date": "2025-01-01" + }, + headers=auth_headers + ) + assert response.status_code == 201 + assert response.json()["name"] == "Push-ups" +``` + +--- + +## 9. ExpĂ©rience DĂ©veloppeur (DX) + +### 9.1 ProblĂšmes + +| # | ProblĂšme | PrioritĂ© | Solution | +|---|----------|----------|----------| +| 1 | **Pas de pre-commit hooks** | Important | Ajouter pre-commit (black, ruff, mypy) | +| 2 | **Pas de linter/formatter** | Important | Configurer Ruff + Black | +| 3 | **Pas de Makefile/scripts** | Nice-to-have | CrĂ©er des scripts de dev | +| 4 | **Documentation minimale** | Important | Ajouter docstrings + README dĂ©taillĂ© | +| 5 | **Pas de CI/CD** | Critique | Configurer GitHub Actions | +| 6 | **Pas de .gitignore complet** | Important | Ajouter patterns Python/Node | + +### 9.2 Solutions + +**`.pre-commit-config.yaml`:** +```yaml +repos: + - repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.1.9 + hooks: + - id: ruff + args: [--fix] + - id: ruff-format + - repo: https://github.com/pre-commit/mirrors-mypy + rev: v1.8.0 + hooks: + - id: mypy + additional_dependencies: [pydantic] +``` + +**`Makefile`:** +```makefile +.PHONY: dev test lint format migrate + +dev: + uvicorn backend.main:app --reload + +test: + pytest tests/ -v --cov=backend + +lint: + ruff check backend/ + mypy backend/ + +format: + ruff format backend/ + ruff check --fix backend/ + +migrate: + alembic upgrade head +``` + +--- + +## 10. ExpĂ©rience Utilisateur (UX/UI) + +### 10.1 ProblĂšmes + +| # | ProblĂšme | PrioritĂ© | Solution | +|---|----------|----------|----------| +| 1 | **Pas de feedback visuel sur les actions** | Important | Ajouter toasts/notifications | +| 2 | **Pas de loading states** | Important | Spinners pendant les appels API | +| 3 | **Pas de gestion d'erreurs utilisateur** | Important | Messages d'erreur clairs | +| 4 | **Pas de responsive testing** | Nice-to-have | Tests sur diffĂ©rents viewports | +| 5 | **AccessibilitĂ© limitĂ©e** | Important | ARIA labels, keyboard nav | + +### 10.2 Solutions + +**Ajouter un systĂšme de notifications:** +```javascript +// frontend/utils/notifications.js +export function showToast(message, type = 'info') { + const toast = document.createElement('div'); + toast.className = `toast toast-${type}`; + toast.textContent = message; + document.body.appendChild(toast); + setTimeout(() => toast.remove(), 3000); +} +``` + +--- + +## 11. Pratiques Professionnelles + +### 11.1 CI/CD + +**État:** ❌ Aucun pipeline CI/CD + +**Solution - GitHub Actions:** +```yaml +# .github/workflows/ci.yml +name: CI + +on: [push, pull_request] + +jobs: + test: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-python@v5 + with: + python-version: '3.10' + - run: pip install -r requirements.txt + - run: pip install pytest pytest-cov + - run: pytest tests/ --cov=backend --cov-report=xml + - uses: codecov/codecov-action@v3 + + lint: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-python@v5 + - run: pip install ruff mypy + - run: ruff check backend/ + - run: mypy backend/ +``` + +### 11.2 Versionnement + +**État:** ⚠ Pas de versioning sĂ©mantique + +**Solution:** +- Adopter Semantic Versioning (v1.0.0) +- Utiliser `bumpversion` ou `semantic-release` +- Changelog automatique + +### 11.3 Documentation + +**État:** ⚠ README basique + +**Solution:** +- Ajouter `docs/` avec MkDocs ou Sphinx +- API docs avec FastAPI auto-docs +- Architecture Decision Records (ADRs) + +--- + +## 12. Base de DonnĂ©es + +### 12.1 ProblĂšmes + +| # | ProblĂšme | PrioritĂ© | Solution | +|---|----------|----------|----------| +| 1 | **SQLite en prod** | Critique | Migrer vers PostgreSQL | +| 2 | **Pas de backups** | Critique | Script de backup automatique | +| 3 | **Pas de migrations rollback** | Important | Documenter les rollbacks | +| 4 | **Pas de seed data** | Nice-to-have | Fixtures pour dev | + +### 12.2 Migration PostgreSQL + +**Avantages:** +- Concurrency supĂ©rieure +- Meilleure scalabilitĂ© +- Full-text search +- Extensions (PostGIS, pgcrypto) +- Meilleure intĂ©gration CI/CD + +--- + +## 13. DĂ©ploiement + +### 13.1 État Actuel + +| Aspect | État | ProblĂšme | +|--------|------|----------| +| **Docker** | ✅ PrĂ©sent | Image non optimisĂ©e | +| **Orchestration** | ⚠ Docker Compose | Pas de K8s pour scale | +| **Reverse proxy** | ❌ Aucun | Pas de Nginx/Traefik | +| **SSL/TLS** | ❌ Aucun | Pas de HTTPS | +| **Monitoring** | ❌ Aucun | Pas de supervision | + +### 13.2 Solutions + +**Architecture de dĂ©ploiement recommandĂ©e:** +``` +┌─────────────┐ +│ Nginx │ ← SSL termination, static files +└──────┬──────┘ + │ +┌──────▌──────┐ +│ Gunicorn │ ← WSGI server (multi-worker) +└──────┬──────┘ + │ +┌──────▌──────┐ +│ FastAPI │ +└──────┬──────┘ + │ +┌──────▌──────┐ +│ PostgreSQL │ +└─────────────┘ +``` + +--- + +## 14. RĂ©sumĂ© des PrioritĂ©s + +### Critique (Bloquant pour prod) + +1. **SĂ©curitĂ©:** SECRET_KEY hardcodĂ©, CORS ouvert, secrets exposĂ©s +2. **Base de donnĂ©es:** SQLite en prod, pas de backups +3. **CI/CD:** Aucun pipeline de tests/dĂ©ploiement +4. **HTTPS:** Pas de SSL/TLS +5. **Rate limiting:** Protection contre DoS + +### Important (QualitĂ© professionnelle) + +1. **Architecture:** SĂ©paration des responsabilitĂ©s, couche de services +2. **Tests:** Couverture de tests minimale +2. **ObservabilitĂ©:** Logging structurĂ©, mĂ©triques, health checks +3. **Configuration:** Environment variables, multi-env +4. **Performance:** Pagination, eager loading, cache +5. **DX:** Linters, formatters, pre-commit hooks + +### Nice-to-have (AmĂ©liorations) + +1. **Frontend framework:** Migration vers React/Vue +2. **TypeScript:** Typage statique +3. **Background tasks:** Celery pour tĂąches async +4. **Monitoring avancĂ©:** Sentry, Datadog +5. **Documentation:** MkDocs/Sphinx + +--- + +## 15. Feuille de Route PriorisĂ©e + +### Phase 1: SĂ©curitĂ© & StabilitĂ© (1-2 semaines) + +```mermaid +gantt + title Phase 1: SĂ©curitĂ© & StabilitĂ© + dateFormat YYYY-MM-DD + section SĂ©curitĂ© + Configurer env vars :a1, 2025-01-01, 2d + Supprimer secrets hardcodĂ©s :a2, after a1, 1d + Configurer CORS :a3, after a1, 1d + Ajouter rate limiting :a4, after a1, 2d + section Base de donnĂ©es + Migrer vers PostgreSQL :b1, 2025-01-01, 3d + Configurer backups :b2, after b1, 2d + section DĂ©ploiement + Configurer HTTPS :c1, 2025-01-03, 2d + Ajouter Nginx reverse proxy :c2, after c1, 1d +``` + +### Phase 2: Architecture & QualitĂ© (2-3 semaines) + +```mermaid +gantt + title Phase 2: Architecture & QualitĂ© + dateFormat YYYY-MM-DD + section Refactoring + Restructurer backend :a1, 2025-01-08, 4d + CrĂ©er couche de services :a2, after a1, 3d + SĂ©parer models/schemas :a3, after a1, 2d + section Frontend + Modulariser app.js :b1, 2025-01-08, 5d + CrĂ©er service API :b2, after b1, 2d + section DX + Configurer pre-commit :c1, 2025-01-10, 1d + Ajouter linters/formatters :c2, after c1, 1d + CrĂ©er Makefile :c3, after c1, 1d +``` + +### Phase 3: Tests & CI/CD (2 semaines) + +```mermaid +gantt + title Phase 3: Tests & CI/CD + dateFormat YYYY-MM-DD + section Tests + Tests unitaires backend :a1, 2025-01-15, 4d + Tests d'intĂ©gration API :a2, after a1, 3d + Tests E2E :a3, after a2, 3d + section CI/CD + Configurer GitHub Actions :b1, 2025-01-17, 2d + Pipeline de tests :b2, after b1, 1d + Pipeline de dĂ©ploiement :b3, after b2, 2d +``` + +### Phase 4: ObservabilitĂ© & Performance (1-2 semaines) + +```mermaid +gantt + title Phase 4: ObservabilitĂ© & Performance + dateFormat YYYY-MM-DD + section ObservabilitĂ© + Logging structurĂ© :a1, 2025-01-22, 2d + Health checks :a2, after a1, 1d + MĂ©triques Prometheus :a3, after a1, 2d + section Performance + Pagination API :b1, 2025-01-22, 2d + Eager loading :b2, after b1, 1d + Indexation DB :b3, after b1, 1d +``` + +### Phase 5: UX & Documentation (1-2 semaines) + +```mermaid +gantt + title Phase 5: UX & Documentation + dateFormat YYYY-MM-DD + section UX + Notifications/toasts :a1, 2025-01-29, 2d + Loading states :a2, after a1, 1d + Gestion d'erreurs :a3, after a1, 2d + section Documentation + Docstrings API :b1, 2025-01-29, 3d + README amĂ©liorĂ© :b2, after b1, 1d + Architecture docs :b3, after b1, 2d +``` + +--- + +## 16. Conclusion + +HabitForge est un **prototype fonctionnel** avec une base technique solide (FastAPI, SQLAlchemy, Alembic). Cependant, le projet nĂ©cessite des amĂ©liorations significatives pour atteindre un niveau **professionnel et production-ready**. + +### Points Forts +- ✅ Stack moderne et performant +- ✅ Auth JWT avec Argon2 +- ✅ Migrations de base de donnĂ©es +- ✅ Dockerisation +- ✅ UI responsive avec Tailwind + +### Points Faibles Critiques +- ❌ SĂ©curitĂ© (secrets, CORS, rate limiting) +- ❌ Architecture monolithique sans sĂ©paration +- ❌ Absence de tests +- ❌ Pas de CI/CD +- ❌ SQLite en production +- ❌ Frontend non modulaire + +### Recommandation Finale + +**Ne PAS dĂ©ployer en production** sans au minimum: +1. Corriger les problĂšmes de sĂ©curitĂ© critiques +2. Migrer vers PostgreSQL +3. Ajouter des tests de base +4. Configurer HTTPS +5. Mettre en place un pipeline CI/CD + +Avec ces amĂ©liorations, HabitForge pourrait devenir une application professionnelle robuste et crĂ©dible. diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..d2661ab --- /dev/null +++ b/requirements.txt @@ -0,0 +1,17 @@ +fastapi>=0.109.0 +uvicorn[standard]>=0.27.0 +sqlalchemy>=2.0.25 +pydantic>=2.7.0 +pydantic-settings>=2.0.0 +python-multipart +jinja2 +alembic +passlib[argon2] +argon2-cffi +python-jose[cryptography] +google-api-python-client +google-auth-httplib2 +google-auth-oauthlib +importlib-metadata>=8.0.0 +slowapi>=0.1.9 +psycopg2-binary>=2.9.9 diff --git a/ruff.toml b/ruff.toml new file mode 100644 index 0000000..9f8ed73 --- /dev/null +++ b/ruff.toml @@ -0,0 +1,37 @@ +# Ruff configuration for HabitForge + +[lint] +# Enable pycodestyle (E), pyflakes (F), and isort (I) +select = ["E", "F", "I"] + +# Exclude directories +exclude = [ + ".git", + ".venv", + "venv", + "__pycache__", + ".mypy_cache", + ".pytest_cache", + "build", + "dist", + "migrations" +] + +# Line length +line-length = 100 + +[format] +# Use double quotes for strings +quote-style = "double" + +# Indentation +indent-style = "space" +indent-width = 4 + +[per-file-ignores] +# Ignore specific files +".env.*" = "E501" + +[isort] +# Import sorting +known-first-party = ["backend"] diff --git a/scripts/backup_db.sh b/scripts/backup_db.sh new file mode 100644 index 0000000..8a49ed4 --- /dev/null +++ b/scripts/backup_db.sh @@ -0,0 +1,54 @@ +#!/bin/bash +# PostgreSQL backup script for HabitForge + +set -e + +# Configuration +BACKUP_DIR="/backups" +TIMESTAMP=$(date +"%Y%m%d_%H%M%S") +BACKUP_FILE="${BACKUP_DIR}/habitforge_backup_${TIMESTAMP}.sql.gz" +RETENTION_DAYS=7 + +# Database settings (from environment) +DB_HOST="${POSTGRES_HOST:-db}" +DB_PORT="${POSTGRES_PORT:-5432}" +DB_NAME="${POSTGRES_DB:-habitforge}" +DB_USER="${POSTGRES_USER:-habitforge}" + +# Create backup directory if it doesn't exist +mkdir -p "${BACKUP_DIR}" + +echo "Starting backup at $(date)" + +# Perform backup +PGPASSWORD="${POSTGRES_PASSWORD}" pg_dump \ + -h "${DB_HOST}" \ + -p "${DB_PORT}" \ + -U "${DB_USER}" \ + -d "${DB_NAME}" \ + --format=plain \ + --no-owner \ + --no-acl | gzip > "${BACKUP_FILE}" + +# Check if backup was successful +if [ $? -eq 0 ]; then + echo "Backup completed successfully: ${BACKUP_FILE}" + + # Get file size + SIZE=$(du -h "${BACKUP_FILE}" | cut -f1) + echo "Backup size: ${SIZE}" + + # Remove old backups (older than RETENTION_DAYS) + echo "Removing backups older than ${RETENTION_DAYS} days..." + find "${BACKUP_DIR}" -name "habitforge_backup_*.sql.gz" -type f -mtime +${RETENTION_DAYS} -delete + + # List remaining backups + echo "Current backups:" + ls -lh "${BACKUP_DIR}"/habitforge_backup_*.sql.gz 2>/dev/null || echo "No backups found" + +else + echo "Backup failed!" + exit 1 +fi + +echo "Backup finished at $(date)" diff --git a/scripts/import_zepp_data.py b/scripts/import_zepp_data.py new file mode 100644 index 0000000..83e7e3f --- /dev/null +++ b/scripts/import_zepp_data.py @@ -0,0 +1,37 @@ +#!/usr/bin/env python3 +""" +Script to import Zepp health data from export-zepp directory into HabitForge database. +Usage: python scripts/import_zepp_data.py [--user-id USER_ID] +""" +import sys +import os +import argparse + +# Add parent directory to path to import backend modules +sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))) + +from backend.integrations.import_zepp import main as import_main, USER_ID as DEFAULT_USER_ID +from backend.integrations import import_zepp + +def run_import(user_id: int = None): + """Run the Zepp data import.""" + if user_id: + # Override the default user ID + import_zepp.USER_ID = user_id + print(f"Importing data for user ID: {user_id}") + else: + print(f"Importing data for default user ID: {DEFAULT_USER_ID}") + + import_main() + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description="Import Zepp health data into HabitForge") + parser.add_argument( + "--user-id", + type=int, + help="User ID to import data for (default: 1)", + default=None + ) + + args = parser.parse_args() + run_import(args.user_id) diff --git a/scripts/migrate_to_postgres.py b/scripts/migrate_to_postgres.py new file mode 100644 index 0000000..b5fa256 --- /dev/null +++ b/scripts/migrate_to_postgres.py @@ -0,0 +1,162 @@ +""" +Migration script from SQLite to PostgreSQL. + +This script migrates data from the existing SQLite database to PostgreSQL. + +Usage: + python scripts/migrate_to_postgres.py + +Prerequisites: + - PostgreSQL database must be running + - DATABASE_URL environment variable must point to PostgreSQL + - SQLite database must exist at data/habitforge.db +""" +import os +import sys +from datetime import datetime + +# Add parent directory to path +sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) + +from sqlalchemy import create_engine, text +from sqlalchemy.orm import sessionmaker +from backend import models +from backend.database import Base, SessionLocal as SQLiteSessionLocal + +# PostgreSQL connection +POSTGRES_URL = os.getenv("DATABASE_URL", "postgresql://habitforge:habitforge@localhost:5432/habitforge") + +def migrate_data(): + """Migrate data from SQLite to PostgreSQL.""" + print("Starting migration from SQLite to PostgreSQL...") + + # Create PostgreSQL engine + postgres_engine = create_engine(POSTGRES_URL) + PostgresSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=postgres_engine) + + # Create tables in PostgreSQL + print("Creating tables in PostgreSQL...") + Base.metadata.create_all(bind=postgres_engine) + + # Get SQLite session + sqlite_session = SQLiteSessionLocal() + + # Get PostgreSQL session + postgres_session = PostgresSessionLocal() + + try: + # Migrate Users + print("Migrating Users...") + users = sqlite_session.query(models.User).all() + for user in users: + new_user = models.User( + id=user.id, + username=user.username, + hashed_password=user.hashed_password + ) + postgres_session.add(new_user) + postgres_session.commit() + print(f"Migrated {len(users)} users") + + # Migrate Challenges + print("Migrating Challenges...") + challenges = sqlite_session.query(models.Challenge).all() + for challenge in challenges: + new_challenge = models.Challenge( + id=challenge.id, + name=challenge.name, + period_type=challenge.period_type, + daily_target=challenge.daily_target, + start_date=challenge.start_date, + end_date=challenge.end_date, + display_order=challenge.display_order, + user_id=challenge.user_id, + icon=challenge.icon, + image_url=challenge.image_url, + description=challenge.description, + unit_type=challenge.unit_type, + rest_days=challenge.rest_days, + frequency=challenge.frequency + ) + postgres_session.add(new_challenge) + postgres_session.commit() + print(f"Migrated {len(challenges)} challenges") + + # Migrate Tracking + print("Migrating Tracking...") + trackings = sqlite_session.query(models.Tracking).all() + for tracking in trackings: + new_tracking = models.Tracking( + id=tracking.id, + challenge_id=tracking.challenge_id, + date=tracking.date, + reps=tracking.reps, + completed=tracking.completed, + notes=tracking.notes + ) + postgres_session.add(new_tracking) + postgres_session.commit() + print(f"Migrated {len(trackings)} trackings") + + # Migrate DailyHealthMetrics + print("Migrating DailyHealthMetrics...") + metrics = sqlite_session.query(models.DailyHealthMetrics).all() + for metric in metrics: + new_metric = models.DailyHealthMetrics( + id=metric.id, + user_id=metric.user_id, + date=metric.date, + step_count=metric.step_count, + calories_burned=metric.calories_burned, + distance_meters=metric.distance_meters, + sleep_duration_minutes=metric.sleep_duration_minutes, + deep_sleep_minutes=metric.deep_sleep_minutes, + light_sleep_minutes=metric.light_sleep_minutes, + rem_sleep_minutes=metric.rem_sleep_minutes, + awake_duration_minutes=metric.awake_duration_minutes, + avg_heart_rate=metric.avg_heart_rate, + min_heart_rate=metric.min_heart_rate, + max_heart_rate=metric.max_heart_rate, + avg_spo2=metric.avg_spo2, + pai_score=metric.pai_score, + weight=metric.weight, + resting_heart_rate=metric.resting_heart_rate, + hrv=metric.hrv + ) + postgres_session.add(new_metric) + postgres_session.commit() + print(f"Migrated {len(metrics)} daily health metrics") + + print("\nMigration completed successfully!") + print(f"Total records migrated:") + print(f" - Users: {len(users)}") + print(f" - Challenges: {len(challenges)}") + print(f" - Trackings: {len(trackings)}") + print(f" - DailyHealthMetrics: {len(metrics)}") + + except Exception as e: + print(f"\nError during migration: {e}") + postgres_session.rollback() + raise + finally: + sqlite_session.close() + postgres_session.close() + postgres_engine.dispose() + + +if __name__ == "__main__": + # Check if SQLite database exists + if not os.path.exists("data/habitforge.db"): + print("Error: SQLite database not found at data/habitforge.db") + sys.exit(1) + + # Confirm migration + print("This will migrate data from SQLite to PostgreSQL.") + print(f"PostgreSQL URL: {POSTGRES_URL}") + response = input("Do you want to continue? (yes/no): ") + + if response.lower() != "yes": + print("Migration cancelled.") + sys.exit(0) + + migrate_data() diff --git a/scripts/start_prod.sh b/scripts/start_prod.sh new file mode 100644 index 0000000..02fb924 --- /dev/null +++ b/scripts/start_prod.sh @@ -0,0 +1,28 @@ +#!/bin/bash +# Production startup script for HabitForge + +set -e + +echo "Starting HabitForge in production mode..." + +# Wait for database to be ready +echo "Waiting for database..." +while ! pg_isready -h ${POSTGRES_HOST:-db} -U ${POSTGRES_USER:-habitforge} -d ${POSTGRES_DB:-habitforge} > /dev/null 2>&1; do + echo "Database is unavailable - sleeping" + sleep 1 +done +echo "Database is ready!" + +# Run migrations +echo "Running database migrations..." +alembic upgrade head + +# Start Gunicorn +echo "Starting Gunicorn..." +exec gunicorn backend.main:app \ + --workers ${GUNICORN_WORKERS:-4} \ + --worker-class uvicorn.workers.UvicornWorker \ + --bind 0.0.0.0:8000 \ + --access-logfile - \ + --error-logfile - \ + --log-level ${LOG_LEVEL:-info} diff --git a/walkthrough_date_nav.md b/walkthrough_date_nav.md new file mode 100644 index 0000000..35fc8c7 --- /dev/null +++ b/walkthrough_date_nav.md @@ -0,0 +1,35 @@ + +# Date Navigation Feature - Walkthrough + +We have implemented a Date Navigation feature for the Health Dashboard, allowing you to explore historical health data. + +## Features Added + +1. **Date Navigator UI**: + * Added `Previous` (<) and `Next` (>) arrow buttons. + * Added a central Date Display text (e.g., "Today", "Dec 21", "Dec 20 - Dec 26"). + * Responsive design: Visible on both mobile and desktop. + * Styled with TailwindCSS for a clean, professional look consistent with the existing theme. + +2. **Navigation Logic**: + * **Day View**: Moves back/forward by 1 day. + * **Week View**: Moves back/forward by 7 days. + * **Month View**: Moves back/forward by 1 month. + * The Date Display updates dynamically to reflect the current period. + +3. **Backend Updates**: + * Updated `/api/health/stats` endpoint to accept a `ref_date` parameter. + * Modified database queries to filtering data `between(start, end)` based on the selected reference date. + * This ensures you can view past weeks and months accurately. + +4. **UX Improvements**: + * **Empty State Handling**: If you navigate to a date with no data, the dashboard fields reset to `--` placeholders instead of showing stale data from the previous view. + * **Loading Feedback**: Existing toast notifications indicate if data loading fails. + +## How to Verification + +1. Open the Health Dashboard. +2. You should see the new Date Navigator explicitly to the left of the "Day/Week/Month" toggle. +3. Click `<` to go back in time. The data (steps, sleep, heart rate, etc.) should update. +4. Switch to "Week" view. The date text should show a range (e.g., "Dec 15 - Dec 21"). +5. Click `>` to return to recent dates. "Today" will be displayed when you are back to the current date.