https://kjgarza.github.io/oxypogon/

A CrossFit Workout of the Day (WOD) viewer that uses Flat Data and OpenAI to scrape workout data and make it more accessible for beginners. The application provides detailed explanations, scaling options, and beginner-friendly modifications for CrossFit workouts.

• Automated WOD Scraping: Uses Flat Data to automatically fetch daily workouts from CrossFit gyms
• AI-Powered Explanations: Leverages OpenAI to generate detailed, beginner-friendly exercise explanations
• Scaling Options: Provides multiple difficulty levels (Sweat, Train, Compete) for different fitness levels
• Exercise Breakdowns: Step-by-step instructions with form tips and modifications
• Web Viewer: Clean HTML interface for viewing formatted workout data
• Streamlit Application: Interactive multipage application for workout analysis

1. Data Collection: Flat Data automatically scrapes workout information from CrossFit websites
2. AI Enhancement: OpenAI processes the raw workout data to generate comprehensive explanations
3. Format Processing: The application structures the data for easy consumption
4. Display: Multiple viewing options including web interface and Streamlit app

To run the application locally using Deno:

# Run the main application with all permissions
deno run -A process_workout.ts workout_ajax_response.txt

# Or run with specific permissions (recommended for production)
deno run --allow-net --allow-read --allow-write process_workout.ts workout_ajax_response.txt

The -A flag grants all permissions to the Deno runtime, which is convenient for development but should be used with caution in production environments.

To view the formatted workout data in your browser:

1. Open index.html in your web browser
2. Ensure workout_with_explanation.json is in the same directory
3. The page will automatically load and display the workout data