BodyLog

Single-user fitness tracker for gym, calisthenics, cardio, and custom workouts. Log sets, track body weight over time, export data for AI analysis. Built with Nuxt 4, Turso (libSQL), and scrypt-based authentication.

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Features

• Workout logging — gym (weight × reps), calisthenics (reps/holds), cardio, and custom programs
• Weight tracking — weekly weight entries with goal configuration and bulk/cut progress visualization
• Program editor — drag-and-drop exercise reordering, equipment palettes, custom day scheduling
• AI Coach export — compile workout and weight history to CSV, auto-copy a structured prompt for AI analysis
• Rest timer — in-workout timer with audio alarm, vibration, and browser notification
• Onboarding tour — guided first-run walkthrough for mode selection and feature discovery
• PWA support — installable as standalone app with offline-ready manifest

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Tech Stack

Layer	Technology
Framework	Nuxt 4 + Nitro (server engine)
Language	TypeScript
Runtime	Bun (dev) / Node.js 20 (production)
UI	Nuxt UI v4, Tailwind CSS v4, Lucide
Database	Turso (libSQL)
Auth	scrypt password hashing, cookie sessions
Drag & Drop	@formkit/drag-and-drop
Confetti	canvas-confetti

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Project Structure

bodylog-turso/
├── app/
│   ├── app.vue                    # Root layout
│   ├── error.vue                  # Error page
│   ├── assets/css/main.css        # Tailwind + custom theme tokens
│   ├── components/                # Vue components
│   │   ├── editor/                # Program editor (exercise list, palette)
│   │   ├── workout/               # Workout session (ExerciseCard, SaveFooter, timer)
│   │   └── profile/               # Settings sub-components
│   ├── composables/               # Shared state (useAuth, useMode, useTimer)
│   ├── pages/                     # Route pages
│   │   ├── index.vue              # Landing
│   │   ├── login.vue              # Login / account setup
│   │   ├── workout.vue            # Workout log
│   │   ├── weight.vue             # Weight tracker
│   │   ├── coach.vue              # AI Coach export
│   │   ├── profile.vue            # Settings
│   │   ├── forgot-password.vue
│   │   └── reset-password.vue
│   └── utils/                     # Tour config, workout defaults
├── server/
│   ├── utils/
│   │   ├── db.ts                  # Turso client, schema initialization (10 tables)
│   │   └── auth.ts                # scrypt hashing, requireAuth middleware
│   └── api/
│       ├── auth/                  # status, setup, login, me, forgot, reset, password
│       ├── workout/               # get, save
│       ├── weight/                # get, save, delete
│       ├── program/               # get, save, start-date
│       └── export/                # all data export
├── types/index.ts                 # Shared TypeScript interfaces
├── public/                        # Static assets (favicon, manifest, robots.txt)
├── nuxt.config.ts
├── Dockerfile
├── docker-compose.yml
├── shell.nix                      # Nix dev shell
└── package.json

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Prerequisites

• Turso database — a libSQL database URL and auth token (see turso.tech)
• Node.js 20+ or Bun (for local development)
• Docker (optional, for containerized deployment)

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Installation

# Clone the repository
git clone <repo-url>
cd bodylog-turso

# Install dependencies
bun install

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Configuration

Copy the example env file and fill in your Turso credentials:

cp .env.example .env

Required environment variables:

Variable	Description
TURSO_DATABASE_URL	Turso libSQL database URL
TURSO_AUTH_TOKEN	Turso authentication token

Optional — only needed for Docker with a local SQLite fallback:

Variable	Description	Default
DB_PATH	Local SQLite database path	/data

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Usage

Development

bun dev        # Start dev server at http://localhost:3000

Production build

bun run build     # Build for production
bun run preview   # Preview production build

Nix shell

direnv allow      # Or: nix-shell shell.nix

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Deployment

Docker

docker compose up --build -d

The container exposes port 3000. The bodylog_data volume persists the SQLite database when DB_PATH is used.

Make sure TURSO_DATABASE_URL and TURSO_AUTH_TOKEN are set in the environment before the container starts.

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Verification

After starting the dev server or container:

1. Open http://localhost:3000
2. Create an account via the setup flow
3. Select a training mode (gym, calisthenics, cardio, or custom)
4. Log a workout at /workout or record weight at /weight
5. Export data for AI analysis at /coach

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License

Proprietary. All rights reserved. See LICENSE.