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

Docker
Docker Compose

Setup

Create a .env file based on .env.example and fill in the required credentials.
Build and run the application using Docker Compose:

docker-compose up --build

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

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.

Configuring Preferred Sessions

You can configure your preferred sessions using the preferred_sessions.json file. This file should contain a JSON array of session names, for example:

[
  "Morning Class",
  "Evening Class",
  "Saturday Open Gym"
]

If the file is not found or contains invalid data, the application will use default hardcoded sessions.

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.

[
    {
        "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

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
book_crossfit.py: Main application script
crossfit_booker.py: Crossfit booking script
session_notifier.py: Session notification script
preferred_sessions.json: Configuration file for preferred sessions
requirements.txt: Python dependencies

Project Structure

.
├── Dockerfile
├── docker-compose.yml
├── .env.example
├── .dockerignore
├── .gitignore
├── book_crossfit.py
├── crossfit_booker.py
├── session_notifier.py
├── requirements.txt
├── preferred_sessions.json
└── log
    └── crossfit_booking.log

Contributing

Contributions are welcome! Please open an issue or submit a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.

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