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docs: Update README with latest features and improved Docker instructions

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- Add tactical recognition system documentation
- Update to 9 AI personalities (was 3)
- Improve Quick Start section with Docker Compose as primary method
- Document automated Docker builds via GitHub Actions
- Add detailed tactical detection feature explanation
- Update game flow to mention tactical feedback
- Reorganize deployment sections for clarity
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Stefan
2025-11-26 19:58:23 +01:00
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@@ -11,15 +11,19 @@ This application was built using **Antigravity by Google**. I like to work with
### Typical Game Flow ### Typical Game Flow
1. **Choose Your Personality**: Select from three unique AI coaching personalities, each with their own teaching style and character 1. **Choose Your Personality**: Select from 9 unique AI coaching personalities, each with their own teaching style and character
2. **Play Chess**: Make your moves on the board while the Stockfish engine plays against you 2. **Play Chess**: Make your moves on the board while the Stockfish engine plays against you
3. **Get Real-Time Feedback**: After each move exchange, your AI tutor analyzes the position and provides personalized feedback based on: 3. **Get Real-Time Feedback**: After each move exchange, your AI tutor analyzes the position and provides personalized feedback based on:
- Move quality and alternatives - Move quality and alternatives
- Position evaluation changes - Position evaluation changes
- **Missed tactical opportunities** (pins, forks, skewers, checks, hanging pieces, material captures)
- Opening theory (when applicable) - Opening theory (when applicable)
- Tactical and strategic considerations - Strategic and positional considerations
4. **Chat with Your Tutor**: Ask questions anytime using the integrated chat feature - your tutor will answer in character 4. **Chat with Your Tutor**: Ask questions anytime using the integrated chat feature - your tutor will answer in character
5. **Post-Game Analysis**: When the game ends, review a comprehensive analysis showing your mistakes and learning opportunities 5. **Post-Game Analysis**: When the game ends, review a comprehensive analysis showing:
- All your mistakes and inaccuracies
- Missed tactical opportunities throughout the game
- Learning opportunities and improvement suggestions
![Gameplay Screenshot](screenshots/gameplay.png) ![Gameplay Screenshot](screenshots/gameplay.png)
*Screenshot placeholder: Main game interface with board, evaluation bar, and chat* *Screenshot placeholder: Main game interface with board, evaluation bar, and chat*
@@ -28,47 +32,149 @@ This application was built using **Antigravity by Google**. I like to work with
### Core Features ### Core Features
- **Stockfish Engine**: Powerful chess engine for move analysis and opponent play - **Stockfish Engine**: Powerful chess engine for move analysis and opponent play
- **Tactical Recognition**: Automatically detects missed tactical opportunities (pins, forks, skewers, checks, hanging pieces, material captures)
- **Opening Database**: Comprehensive database of chess openings with metadata and theory - **Opening Database**: Comprehensive database of chess openings with metadata and theory
- **Real-Time Evaluation**: Live position evaluation with visual evaluation bar - **Real-Time Evaluation**: Live position evaluation with visual evaluation bar
- **Move Analysis**: Detailed feedback on every move you make - **Move Analysis**: Detailed feedback on every move you make with tactical insights
- **Interactive Chat**: Ask your AI tutor questions and get personalized answers - **Interactive Chat**: Ask your AI tutor questions and get personalized answers
- **Post-Game Analysis**: Review all your mistakes and missed opportunities after each game - **Post-Game Analysis**: Review all your mistakes and missed opportunities after each game
- **Multi-Language Support**: Available in English, German, French, and Italian - **Multi-Language Support**: Available in English, German, French, and Italian
- **FEN/PGN Import**: Import positions or games with automatic format detection
- **Move History**: Visual move history table with evaluation changes
### AI Personalities ### AI Personalities
Choose from three distinct coaching personalities, each offering a unique learning experience: Choose from **9 distinct coaching personalities**, each offering a unique learning experience:
#### 🥃 Drunk Russian GM #### 📘 Opening Professor
*"Ach... life is pain, my boy"* *"This is a very instructive structure..."*
A bitter, fatalistic, but brilliant Grandmaster who has seen it all. Expect brutally honest feedback delivered with dark humor and existential commentary. This personality combines deep chess knowledge with a Dostoevsky-like atmosphere. A calm, deeply knowledgeable educator who loves turning openings into understandable stories with history, plans, and model structures. Perfect for learning opening theory and understanding positional concepts.
![Drunk Russian GM Screenshot](screenshots/personality-russian-gm.png)
*Screenshot placeholder: Game with Drunk Russian GM personality*
#### 🎧 Hype Streamer
*"BRO! THAT MOVE WAS INSANE!"*
An energetic, loud, and entertaining chess streamer who makes every game exciting. Expect dramatic reactions, Gen-Z slang, and over-the-top commentary that keeps you engaged and motivated.
![Hype Streamer Screenshot](screenshots/personality-hype-streamer.png)
*Screenshot placeholder: Game with Hype Streamer personality*
#### 👨‍🏫 Professional Coach #### 👨‍🏫 Professional Coach
*"Let's analyze the structure of this position"* *"Let's analyze the structure of this position"*
A strict, analytical, and straightforward chess coach focused on your improvement. Expect objective analysis, clear explanations based on chess principles, and professional teaching methods. A strict, analytical, and straightforward chess coach focused on your improvement. Expect objective analysis, clear explanations based on chess principles, and professional teaching methods.
![Professional Coach Screenshot](screenshots/personality-professional-coach.png) #### 🥃 Drunk Russian GM
*Screenshot placeholder: Game with Professional Coach personality* *"Ach... life is pain, my boy"*
## Setup A bitter, fatalistic, but brilliant Grandmaster who has seen it all. Expect brutally honest feedback delivered with dark humor and existential commentary. This personality combines deep chess knowledge with a Dostoevsky-like atmosphere.
### Prerequisites #### 🎧 Hype Streamer
*"BRO! THAT MOVE WAS INSANE!"*
An energetic, loud, and entertaining chess streamer who makes every game exciting. Expect dramatic reactions, Gen-Z slang, and over-the-top commentary that keeps you engaged and motivated.
#### 🧙‍♂️ Gandalf the Chess Wizard
*"A move is never late, nor is it early..."*
A wise and mystical chess wizard who speaks in riddles and metaphors. Combines chess wisdom with magical references and philosophical insights.
#### 🤖 Stockfish (Literal)
*"Evaluation: +0.7. Best continuation: Nf3, d5, c4..."*
The engine itself, speaking in pure chess notation and evaluations. No personality, just raw analysis and computer-like precision.
#### 😤 Toxic Gamer
*"Are you even trying? That's the worst move I've seen all day!"*
An abrasive, confrontational personality that roasts your mistakes mercilessly. Not for the faint of heart, but some players find the challenge motivating.
#### 🎭 Shakespearean Bard
*"To castle or not to castle, that is the question..."*
A theatrical personality that delivers chess analysis in Shakespearean verse and dramatic monologues. Makes every game feel like a stage performance.
#### 🧘 Zen Master
*"The board is empty, yet full of possibilities..."*
A calm, meditative personality that approaches chess as a spiritual practice. Focuses on mindfulness, patience, and finding harmony in the position.
### Tactical Recognition System
One of the standout features is the **automatic tactical pattern detection** that runs after every move:
**What it detects:**
- **Material Captures**: Safe captures of pieces and pawns (with recapture analysis)
- **Pins**: Pieces pinned to the king or more valuable pieces
- **Forks**: Pieces attacking multiple valuable targets simultaneously
- **Skewers**: Attacks forcing a valuable piece to move, exposing another
- **Checks**: Moves that give check to the opponent's king
- **Hanging Pieces**: Undefended pieces that could be captured
**How it works:**
1. After each move, the system compares your move to the engine's best move
2. If there's a significant evaluation difference, it analyzes what tactical opportunities were missed
3. The AI tutor receives this information and explains it in real-time in their characteristic style
4. All missed tactics are also shown in the post-game analysis
**Conservative approach:**
- The system uses multiple filters to avoid false positives
- Only reports tactics when there's a clear advantage
- Checks for piece safety (e.g., won't report a "capture" if the piece can be immediately recaptured)
This feature helps you learn tactical patterns naturally during gameplay, rather than just through puzzle training.
## Quick Start
### Option 1: Docker Compose (Recommended - Easiest!)
The fastest way to get started is using our pre-built Docker image from GitHub Container Registry:
```bash
# Clone the repository
git clone https://github.com/stefan-kp/chess_tutor.git
cd chess_tutor
# (Optional) Create .env file with your API key
echo "NEXT_PUBLIC_GEMINI_API_KEY=your_api_key_here" > .env
# Start the application
docker-compose up -d
# View logs
docker-compose logs -f
```
The application will be available at `http://localhost:3050`
**What happens:**
- Docker Compose automatically pulls the latest pre-built image from `ghcr.io/stefan-kp/chess-tutor:latest`
- No build step required - the image is built automatically on every push to main via GitHub Actions
- The container starts with health checks and auto-restart enabled
### Option 2: Local Development
If you want to run the application locally for development:
#### Prerequisites
- Node.js 18+ installed - Node.js 18+ installed
- A free Google Gemini API key - A free Google Gemini API key
#### Steps
```bash
# Clone the repository
git clone https://github.com/stefan-kp/chess_tutor.git
cd chess_tutor
# Install dependencies
npm install
# Create .env file (optional)
echo "NEXT_PUBLIC_GEMINI_API_KEY=your_api_key_here" > .env
# Run development server
npm run dev
# Or build and run production
npm run build
npm start
```
The application will be available at `http://localhost:3050`
### Getting Your Gemini API Key ### Getting Your Gemini API Key
1. Visit [Google AI Studio](https://aistudio.google.com/app/apikey) 1. Visit [Google AI Studio](https://aistudio.google.com/app/apikey)
@@ -80,15 +186,7 @@ A strict, analytical, and straightforward chess coach focused on your improvemen
You have two options for providing your Gemini API key: You have two options for providing your Gemini API key:
#### Option 1: Browser Storage (Recommended for trying it out) #### Option 1: Environment Variable (Recommended for Docker/Server)
1. Run the application
2. When prompted, enter your API key in the modal dialog
3. The key will be stored in your browser's localStorage
![API Key Input Screenshot](screenshots/api-key-input.png)
*Screenshot placeholder: API key input modal*
#### Option 2: Environment Variable (Recommended for local development)
1. Create a `.env` file in the project root 1. Create a `.env` file in the project root
2. Add your API key: 2. Add your API key:
``` ```
@@ -96,47 +194,58 @@ You have two options for providing your Gemini API key:
``` ```
3. The application will automatically use this key 3. The application will automatically use this key
#### Option 2: Browser Storage (Fallback)
1. Run the application without an API key
2. When prompted, enter your API key in the modal dialog
3. The key will be stored in your browser's localStorage
> [!NOTE] > [!NOTE]
> You can update your API key anytime by clicking the key icon in the bottom-right corner of the application. > You can update your API key anytime by clicking the key icon in the bottom-right corner of the application.
## Docker Deployment ## Advanced Deployment
### Quick Start with Docker ### Automated Docker Builds
The easiest way to deploy Chess Tutor is using Docker Compose: This project uses GitHub Actions to automatically build and publish Docker images to GitHub Container Registry (GHCR) on every push to the `main` branch.
```bash **What this means:**
# Clone the repository - Every commit to `main` triggers an automatic Docker build
git clone https://github.com/your-username/chess_tutor.git - The latest image is always available at `ghcr.io/stefan-kp/chess-tutor:latest`
cd chess_tutor - Each build is also tagged with the commit SHA for version tracking
- No need to build locally - just pull and run!
# (Optional) Create .env file with your API key ### Using Pre-Built Images
echo "NEXT_PUBLIC_GEMINI_API_KEY=your_api_key_here" > .env
# Build and start the container The `docker-compose.yml` file is already configured to use the pre-built image:
docker-compose up -d
# View logs ```yaml
docker-compose logs -f services:
chess-tutor:
image: ghcr.io/stefan-kp/chess-tutor:latest
# ... rest of configuration
``` ```
The application will be available at `http://localhost:3050` This means you can deploy anywhere with just:
```bash
docker-compose up -d
```
### Environment Variables ### Manual Docker Build (Optional)
You have two options for providing the Gemini API key: If you prefer to build the image yourself:
1. **Environment Variable** (recommended for server deployment): ```bash
- Create a `.env` file in the project root # Build the image
- Add: `NEXT_PUBLIC_GEMINI_API_KEY=your_api_key_here` docker build -t chess-tutor:latest .
- The application will automatically use this key
2. **Browser Storage** (fallback): # Run the container
- If no environment variable is set, users will be prompted to enter their API key docker run -d \
- The key is stored in browser localStorage --name chess-tutor \
-p 3050:3050 \
> [!NOTE] -e NEXT_PUBLIC_GEMINI_API_KEY=your_api_key_here \
> The API key is never logged or exposed in application logs. It's only used for API calls to Google Gemini. --restart unless-stopped \
chess-tutor:latest
```
### Nginx Reverse Proxy ### Nginx Reverse Proxy
@@ -160,26 +269,6 @@ sudo nginx -t
sudo systemctl reload nginx sudo systemctl reload nginx
``` ```
### Manual Docker Build
If you prefer to build manually:
```bash
# Build the image
docker build -t chess-tutor:latest .
# Run the container
docker run -d \
--name chess-tutor \
-p 3050:3050 \
-e NEXT_PUBLIC_GEMINI_API_KEY=your_api_key_here \
--restart unless-stopped \
chess-tutor:latest
```
chess-tutor:latest
```
## Configuration ## Configuration
You can configure the application using environment variables in your `.env` file or Docker Compose configuration: You can configure the application using environment variables in your `.env` file or Docker Compose configuration: