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Sundered Doctrine - Puzzle Encounter

This project helps you find the optimum placement of lenses in the Puzzle encounter of Destiny 2, the Sundered Doctrine dungeon.

Current Status

The project includes two main functionalities:

  1. Puzzle Encounter Helper: Helps you find the optimum placement of lenses based on user inputs.
  2. Custom Map Generator: Allows you to create custom paths on the map and generate YAML files for those paths.

Files

  • index.html: The main page for the Puzzle encounter helper.
  • legacy.html: The previous implementation of the Puzzle encounter helper.
  • generate_map.html: The page for generating custom paths and exporting them as YAML files.
  • dynamic_map.html: A dynamic map with paths that can be drawn and reset.

How to Use

Puzzle Encounter Helper

  1. Open index.html in your browser.
  2. Enter the lens placements in the input fields.
  3. The map will update based on your inputs.
  4. You can also upload a YAML file with custom paths using the file input.

Custom Map Generator

  1. Open generate_map.html in your browser.
  2. Use the controls to create and manage paths:
    • New Path: Start drawing a new path.
    • Commit Path: Save the current path.
    • Reset Path: Clear the current path.
    • New Set: Create a new set of paths.
    • Show YAML: Display the YAML representation of the paths.
  3. You can download the YAML file using the "Download" button in the YAML popup.

Controls

  • New Path: Click to start drawing a new path on the map.
  • Commit Path: Click to save the current path.
  • Reset Path: Click to clear the current path.
  • New Set: Click to create a new set of paths.
  • Show YAML: Click to display the YAML representation of the paths. You can copy the YAML to the clipboard or download it as a file.

Dependencies

  • js-yaml: Used for parsing and generating YAML data.
  • Canvas API: Used for drawing paths on the map.

Contact

For any issues or questions, contact nadiar on Discord. The project is available at GitHub.

Credits

  • Map credit goes to u/CyanicKenshi on Reddit.
  • Solution credit goes to All_The_Players and this video.

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