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CONTRIBUTING.md

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Run Hedy code on your machine

If you are going to contribute to the code of Hedy, you will probably want to run the code on your own computer. For this you need to install Python 3.6 or higher. Then, here's how to get started once you have downloaded or cloned the code:

$ python3 -m venv .env
$ source .env/bin/activate
(.env)$ pip install -r requirements.txt

If you want to run the website version locally, run:

(.env)$ python app.py

To run the unit tests:

(.env)$ python -m unittest discover -s tests

To make debugging a lot more convenient, enable development mode. If you do this, any HTML templates and Python source files you change and save will automatically be reloaded.

(Be aware that your program may stop with a SyntaxError if you save a Python file while the code is not complete. If this happens too often because you reflexively hit Ctrl-S 😉 you can wrap the command in a loop to restart the server quickly).

(.env)$ env FLASK_ENV=development python app.py
# or in a loop if it stops too often
(.env)$ while true; do env FLASK_ENV=development python app.py; sleep 1; done

If you want to run the website locally, but would prefer to use Docker instead of installing python, you can build a container image and run it like so:

docker build -t hedy .

and then

docker run -it --rm -p 5000:5000 hedy

If you don't want to use a website, you can run the code locally without the need of a website. To create a file use:

$ touch FILENAME.hedy

If you use a higher level than 1, specify the level at the top of the file by typing #LEVEL 1-8. This will let the interpreter know which level you want to run the code on. Now to acctually run the code, type the following command in the terminal:

(.env)$ python runhedy.py FILENAME.hedy

If all did correctly, you will see the output of your code right into the terminal.

If you don't want to specify the level itself in the file, you can use the --level argument after the filename. You can do it like this:

(.env)$ python runhedy.py FILENAME.hedy --level 1-8

When you execute this, the interpreter will use the specified level.

Pre-release environment

When you have your PR accepted into main, that version will be deployed on hedy-alpha.herokuapp.com.

We do periodic deploys of main to the production version of Hedy.

Editing YAML files with validation

If you need to edit the YAML files that make up the Hedy adventure mode, you can have them validated as-you-type against our JSON schemas.

This does require some manual configuration in your IDE, which we can unfortunately not do automatically for you. What you need to do depends on which IDE you are using. Here are the IDEs we know about:

Visual Studio Code

  • Install the Vistual Studio Code YAML plugin
  • After installing the plugin, press F1, and type Preferences: Open Worspace Settings (JSON).
  • Add the following yaml.schemas key to the JSON file that shows up:
{
  // ...
  "yaml.schemas": {
    "coursedata/adventures/adventures.schema.json": "adventures/*.yaml"
  }
}

IntelliJ (PyCharm/WebStorm/...)

  • Open Preferences
  • Navigate to Languages & Frameworks → Schemas and DTDs → JSON Schema Mappings.
  • Click the + to add a new schema.
    • Behind Schema file or URL, click the browse button and navigate to the <your Hedy checkout>/coursedata/adventures/adventures.schema.json file.
    • Click the + at the bottom, select Directory. In the new line that appears, paste coursedata/adventures.
  • Click OK to close the window.