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README.md
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README.md
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# Crossfit Application
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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.
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## Features
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- Automated booking of Crossfit sessions
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- Email and Telegram notifications for successful bookings
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- Configurable preferred sessions
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- Retry logic for booking failures
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- Detailed logging
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## Prerequisites
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- Docker
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- Docker Compose
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## Setup
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1. Create a `.env` file based on `.env.example` and fill in the required credentials.
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2. Build and run the application using Docker Compose:
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```bash
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docker-compose up --build
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```
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3. The application will run in a Docker container, and the logs will be stored in the `./log` directory.
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## Usage
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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.
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### Environment Variables
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The following environment variables are required:
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- `CROSSFIT_USERNAME`: Your Crossfit username
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- `CROSSFIT_PASSWORD`: Your Crossfit password
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- `EMAIL_FROM`: Your email address
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- `EMAIL_TO`: Recipient email address
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- `EMAIL_PASSWORD`: Your email password
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- `TELEGRAM_TOKEN`: Your Telegram bot token
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- `TELEGRAM_CHAT_ID`: Your Telegram chat ID
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### Preferred Sessions
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You can configure your preferred sessions in the `crossfit_booker.py` file. The preferred sessions are defined as a list of tuples, where each tuple contains the day of the week, start time, and session name.
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```python
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PREFERRED_SESSIONS = [
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(4, "17:00", "WEIGHTLIFTING"), # Friday 17:00 WEIGHTLIFTING
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(5, "12:30", "HYROX"), # Saturday 12:30 HYROX
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(2, "18:30", "CONDITIONING"), # Wednesday 18:30 CONDITIONING
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]
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```
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## Files
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- `Dockerfile`: Docker image definition
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- `docker-compose.yml`: Docker Compose service definition
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- `.env.example`: Example environment variables file
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- `.dockerignore`: Docker ignore file
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- `.gitignore`: Git ignore file
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- `book_crossfit.py`: Main application script
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- `crossfit_booker.py`: Crossfit booking script
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- `session_notifier.py`: Session notification script
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- `requirements.txt`: Python dependencies
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## Project Structure
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```
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.
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├── Dockerfile
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├── docker-compose.yml
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├── .env.example
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├── .dockerignore
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├── .gitignore
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├── book_crossfit.py
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├── crossfit_booker.py
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├── session_notifier.py
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├── requirements.txt
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└── log
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└── crossfit_booking.log
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```
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## Contributing
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Contributions are welcome! Please open an issue or submit a pull request.
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## License
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This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
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@@ -30,8 +30,7 @@ if not all([USERNAME, PASSWORD]):
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APPLICATION_ID = "81560887"
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CATEGORY_ID = "677" # Activity category ID for CrossFit
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TIMEZONE = "Europe/Paris" # Adjust to your timezone
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# TARGET_RESERVATION_TIME = "20:01" # When bookings open (8 PM)
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TARGET_RESERVATION_TIME = "21:40" # When bookings open (8 PM)
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TARGET_RESERVATION_TIME = "20:01" # When bookings open (8 PM)
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DEVICE_TYPE = "3"
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# Retry configuration
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@@ -43,6 +42,7 @@ APP_VERSION = "5.09.21"
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# Format: List of tuples (day_of_week, start_time, session_name_contains)
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# day_of_week: 0=Monday, 6=Sunday
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PREFERRED_SESSIONS = [
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# (0, "17:00", "HYROX"), # Monday 17:00 HYROX
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(4, "17:00", "WEIGHTLIFTING"), # Friday 17:00 WEIGHTLIFTING
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(5, "12:30", "HYROX"), # Saturday 12:30 HYROX
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(2, "18:30", "CONDITIONING"), # Wednesday 18:30 CONDITIONING
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@@ -373,7 +373,8 @@ class CrossFitBooker:
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# First check if can_join is true (primary condition)
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if user_info.get("can_join", False):
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logging.debug("Session is bookable: can_join is True")
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activity_name = session.get("name_activity")
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logging.debug(f"Session is bookable: {activity_name} can_join is True")
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return True
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# If can_join is False, check if there's a booking window
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@@ -464,19 +465,51 @@ class CrossFitBooker:
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activities: List[Dict[str, Any]] = sessions_data.get("data", {}).get("activities_calendar", [])
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# Find sessions to book (prefered only)
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# Find sessions to book (preferred only)
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sessions_to_book: List[Tuple[str, Dict[str, Any]]] = []
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for session in activities:
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if not self.is_session_bookable(session, current_time):
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continue
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upcoming_sessions: List[Dict[str, Any]] = []
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found_preferred_sessions: List[Dict[str, Any]] = []
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for session in activities:
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session_time: datetime = parse(session["start_timestamp"])
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if not session_time.tzinfo:
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session_time = pytz.timezone(TIMEZONE).localize(session_time)
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# Check if session is preferred and bookable
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if self.is_session_bookable(session, current_time):
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if self.matches_preferred_session(session, current_time):
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sessions_to_book.append(("Preferred", session))
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found_preferred_sessions.append(session)
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else:
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# Check if it's a preferred session that's not bookable yet
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if self.matches_preferred_session(session, current_time):
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found_preferred_sessions.append(session)
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# Check if it's available tomorrow
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if (session_time.date() - current_time.date()).days == 1:
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upcoming_sessions.append(session)
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if not sessions_to_book:
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if not sessions_to_book and not upcoming_sessions:
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logging.info("No matching sessions found to book")
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return
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# Notify about all found preferred sessions, regardless of bookability
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for session in found_preferred_sessions:
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session_time: datetime = parse(session["start_timestamp"])
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if not session_time.tzinfo:
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session_time = pytz.timezone(TIMEZONE).localize(session_time)
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session_details = f"{session['name_activity']} at {session_time.strftime('%Y-%m-%d %H:%M')}"
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self.notifier.notify_session_booking(session_details)
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logging.info(f"Notified about found preferred session: {session_details}")
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# Notify about upcoming sessions
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for session in upcoming_sessions:
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session_time: datetime = parse(session["start_timestamp"])
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if not session_time.tzinfo:
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session_time = pytz.timezone(TIMEZONE).localize(session_time)
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session_details = f"{session['name_activity']} at {session_time.strftime('%Y-%m-%d %H:%M')}"
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self.notifier.notify_upcoming_session(session_details, 1) # Days until is 1 for tomorrow
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logging.info(f"Notified about upcoming session: {session_details}")
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# Book sessions (preferred first)
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sessions_to_book.sort(key=lambda x: 0 if x[0] == "Preferred" else 1)
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for session_type, session in sessions_to_book:
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@@ -508,9 +541,11 @@ class CrossFitBooker:
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current_time: datetime = datetime.now(tz)
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logging.info(f"Current time: {current_time}")
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# Run booking cycle at the target time or if it's a test, with optimized checking
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if current_time.strftime("%H:%M") == TARGET_RESERVATION_TIME:
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# Always run booking cycle to check for preferred sessions and notify
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self.run_booking_cycle(current_time)
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# Run booking cycle at the target time for actual booking
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if current_time.strftime("%H:%M") == TARGET_RESERVATION_TIME:
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# Wait until the next booking window
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wait_until = current_time + timedelta(minutes=60)
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time.sleep((wait_until - current_time).total_seconds())
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@@ -101,3 +101,22 @@ class SessionNotifier:
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if self.enable_telegram:
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self.send_telegram_notification(telegram_message)
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def notify_upcoming_session(self, session_details, days_until):
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"""
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Notify about an upcoming session via email and Telegram.
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Args:
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session_details (str): Details about the upcoming session
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days_until (int): Number of days until the session
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"""
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# Create messages for both email and Telegram
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email_message = f"Session available soon: {session_details} (in {days_until} days)"
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telegram_message = f"Session available soon: {session_details} (in {days_until} days)"
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# Send notifications through enabled channels
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if self.enable_email:
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self.send_email_notification(email_message)
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if self.enable_telegram:
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self.send_telegram_notification(telegram_message)
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