# Crossfit Application

This is a Python application for managing Crossfit bookings and notifications. The application automates the process of booking Crossfit sessions and sends notifications via email and Telegram when a booking is successful.

## Features

- Automated booking of Crossfit sessions
- Email and Telegram notifications for successful bookings
- Configurable preferred sessions
- Retry logic for booking failures
- Detailed logging

## Prerequisites

- Python 3.8+
- Docker (optional)
- Docker Compose (optional)

## Setup

1. Create a `.env` file based on `.env.example` and fill in the required credentials.

### Running with Docker (Recommended)

2. Build and run the application using Docker Compose:

```bash
docker-compose up --build
```

3. The application will run in a Docker container, and the logs will be stored in the `./log` directory.

### Manual Setup

2. Install dependencies:

```bash
pip install -r requirements.txt
```

3. Run the application:

```bash
python main.py
```

## Usage

The application will automatically check for available sessions and book them based on your preferences. It will send notifications via email and Telegram when a booking is successful.

### Environment Variables

The following environment variables are required:

- `CROSSFIT_USERNAME`: Your Crossfit username
- `CROSSFIT_PASSWORD`: Your Crossfit password
- `EMAIL_FROM`: Your email address
- `EMAIL_TO`: Recipient email address
- `EMAIL_PASSWORD`: Your email password
- `TELEGRAM_TOKEN`: Your Telegram bot token
- `TELEGRAM_CHAT_ID`: Your Telegram chat ID

### Preferred Sessions

You can configure your preferred sessions in the `preferred_sessions.json` file. The preferred sessions are defined as a list of objects, where each object contains the day of the week, start time, and session name.

```json
[
    {
        "day_of_week": 4,
        "start_time": "17:00",
        "session_name_contains": "WEIGHTLIFTING"
    },
    {
        "day_of_week": 5,
        "start_time": "12:30",
        "session_name_contains": "HYROX"
    },
    {
        "day_of_week": 2,
        "start_time": "18:30",
        "session_name_contains": "CONDITIONING"
    }
]
```

The application will automatically load the preferred sessions from this file. If the file is not found or contains invalid data, it will fall back to the default hardcoded sessions.

### Fields

- `day_of_week`: Integer representing the day of the week (0=Monday, 6=Sunday)
- `start_time`: String representing the start time in HH:MM format
- `session_name_contains`: String containing the name or part of the name of the session

## Files

- `main.py`: Main entry point for the application
- `src/`: Source code directory
  - `auth.py`: Authentication handling
  - `booker.py`: Main booking logic
  - `session_manager.py`: Session management
  - `session_notifier.py`: Notification handling
  - `session_config.py`: Session configuration
- `tools/`: Utility scripts
- `scripts/`: Additional scripts
- `test/`: Test files
- `Dockerfile`: Docker image definition
- `docker-compose.yml`: Docker Compose service definition
- `.env.example`: Example environment variables file
- `.dockerignore`: Docker ignore file
- `.gitignore`: Git ignore file
- `preferred_sessions.json.example`: Example configuration file for preferred sessions
- `requirements.txt`: Python dependencies

## Project Structure

```
.
├── main.py
├── src/
│   ├── auth.py
│   ├── booker.py
│   ├── session_manager.py
│   ├── session_notifier.py
│   └── session_config.py
├── tools/
├── scripts/
├── test/
├── Dockerfile
├── docker-compose.yml
├── .env.example
├── .dockerignore
├── .gitignore
├── preferred_sessions.json.example
├── requirements.txt
└── log/
    └── crossfit_booking.log
```

## Testing the Telegram Notifier

To manually test the Telegram notifier functionality:

1. Ensure you have configured the Telegram credentials in the `.env` file:
```ini
TELEGRAM_TOKEN=your_telegram_bot_token
TELEGRAM_CHAT_ID=your_chat_id
```

2. Run the test script:
```bash
python test_telegram_notifier.py
```

## License

This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.