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AGENT.md
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AGENT.md
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# Qwen Code Agent Configuration
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This file configures the behavior and preferences for the Qwen Code agent for this specific project.
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## Project Context
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- **Name**: CrossFit Scheduler
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- **Primary Language**: Python
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- **Key Technologies**: Python scripts, JSON, Docker
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- **Purpose**: Automates booking CrossFit classes based on user preferences.
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## Agent Interaction Preferences
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### Code Style & Conventions
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- Follow PEP 8 for Python code.
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- Use clear, descriptive variable and function names.
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- Prefer explicit over implicit code.
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- Use docstrings for modules, classes, and functions.
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- Keep functions small and focused on a single task.
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### Project Structure Awareness
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- `main.py`: Entry point for the application.
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- `execute_book_session.py`: Core logic for booking sessions.
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- `preferred_sessions.json`: User preferences for session booking.
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- `src/`: Directory for source code modules.
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- `test_book_session.sh`: Shell script for testing session booking.
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### Preferred Tools & Commands
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- Use `pytest` for running tests.
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- Use `docker compose` for container orchestration.
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- Use `python` for running scripts.
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- Refer to `requirements.txt` for dependencies.
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### Communication Style
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- Be concise and direct.
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- Use markdown for formatting responses.
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- Prioritize clarity and correctness.
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- Avoid unnecessary explanations or chit-chat.
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### Testing & Verification
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- Always run tests after making changes.
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- Use `pytest.ini` for test configuration.
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- Ensure Docker containers are properly configured before running.
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- Verify JSON files are correctly formatted.
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### Security & Best Practices
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- Never commit sensitive information like passwords or API keys.
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- Use `.env` files for environment variables.
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- Follow Docker best practices for containerization.
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- Keep dependencies up to date.
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## Custom Instructions
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- When modifying `preferred_sessions.json`, ensure the structure remains valid.
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- When writing shell scripts, ensure they are executable and follow best practices.
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- When creating new Python files, ensure they are properly formatted and tested.
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@@ -192,8 +192,6 @@ class Booker:
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# Parse TARGET_RESERVATION_TIME to get the target hour and minute
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target_hour, target_minute = map(int, TARGET_RESERVATION_TIME.split(":"))
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target_time = datetime.now(tz).replace(hour=target_hour, minute=target_minute, second=0, microsecond=0)
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booking_window_end = target_time + timedelta(minutes=BOOKING_WINDOW_END_DELTA_MINUTES)
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# Initial login
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if not self.auth_handler.login():
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@@ -206,15 +204,19 @@ class Booker:
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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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# Recalculate target time and end time for the current day
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today_target_time = current_time.replace(hour=target_hour, minute=target_minute, second=0, microsecond=0)
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booking_window_end = today_target_time + timedelta(minutes=BOOKING_WINDOW_END_DELTA_MINUTES)
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# Only book sessions if current time is within the booking window
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if target_time <= current_time <= booking_window_end:
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if today_target_time <= current_time <= booking_window_end:
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# Run booking cycle to check for preferred sessions and book
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await self.booker(current_time)
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# Wait for a short time before next check
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time.sleep(60)
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else:
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# Display message when outside booking window
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# logging.info(f"Not booking now - current time {current_time} is outside the booking window ({target_time} to {booking_window_end})")
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# logging.info(f"Not booking now - current time {current_time} is outside the booking window ({today_target_time} to {booking_window_end})")
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# Check again in 5 minutes if outside booking window
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time.sleep(300)
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except Exception as e:
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