Minecraft_API

JavaScript API for proxying communications between Minecraft Education Edition and External Applications.

If you would like to get data from within Minecraft Education edition or if you would like to send commands to the game, you can develop your application on top of this API.

How does it work?

When you inject this script into the integrated Minecraft Education coding interface it creates a connection to the electron instance in the game, and opens a connection to any application listening on ws://localhost:5678.

How to use?

You can simply include the distribution file minecraft_api.js inside of your project.

<script type="module">
    import MinecraftAPIClient from 'https://nathan-nesbitt.github.io/Minecraft_API/src/minecraft_api.js';

    import MinecraftLearns from 'https://nathan-nesbitt.github.io/Minecraft_API/src/minecraft_learns.js';

    import DataStore from 'https://nathan-nesbitt.github.io/Minecraft_API/src/minecraft_store.js';
</script>

If you only want to communicate with the game, and you are writing your own library you do not need the MinecraftLearns or DataStore imports.

MinecraftClientAPI

This initializes a connection with the game via websockets and provides a set of functions for subscribing messages to be sent to the server. We can create an instance of the object which contains all of the methods for communication.

var minecraftAPI = new MinecraftAPIClient()

This creates both a connection with the game, and a connection on the backend with a WS server listening on port 5678. You can also specify a port number as a parameter to the MinecraftAPIClient() to allow for additional changes.

This object must always be created.

EventHandler

Creates a new event, takes an event to handle and a function to call back to whenever the event is triggered.

var minecraftAPI = new MinecraftAPIClient();

var callback_function () {
    console.log("My Callback Function");
}

minecraftAPI.EventHandler("BlockBroken", callback_function)

As event handler is more complicated than necessary, there are a set of default objects associated with the minecraftClientAPI that makes it easier to handle events. The following are the options:

BlockBrokenEvent
BlockPlacedEvent
CameraUsedEvent
EndOfDayEvent
EntitySpawnedEvent
ItemAcquiredEvent
ItemCraftedEvent
ItemDroppedEvent
ItemEquippedEvent
ItemInteractedEvent
ItemNamedEvent
ItemSmeltedEvent
ItemUsedEvent
MobKilledEvent
MobSpawnedEvent
PlayerBouncedEvent
PlayerDiedEvent
PlayerMessageEvent
PlayerTeleportedEvent
PlayerTravelledEvent

They all take one parameter callback_function which is just what will be run once the event happens.

Command

Creates a new command, takes a command to run in game, some arguments for that command, and an optional callback function.

var minecraftAPI = new MinecraftAPIClient()

var callback_function () {
    console.log("My Callback Function");
}

minecraftAPI.Command("Say", ["Hello"], callback_function);

Same as the EventHandler class, there are some basic commands that are handled so you do not have to remember the syntax:

Move
Teleport
Turn
Say
Give
Place

Each of these takes a list of arguments, at the moment you must look up those arguments. They can be passed in using an array [arg_1, arg_2, ...].

DataStore

Creates an object that can be used to send data to the back end. It takes in a minecraft_api object and a filename where the data should be saved.

var datastore = new DataStore(minecraft_api, "filename.csv");

store_value(game_data)

This method allows you to write game data to the previously defined file. It takes in 1 argument which is the data that will be written to the file, and is written to be asynchronous using promises so you can use the then() and catch() syntax.

datastore.store_value(game_data)
    .then((result) => {
        // If the insertion is successful //
        console.log("Successful insertion into back end", result)
    }).catch(err => {
        // If you run into an error inserting into the file //
        console.log("Error submitting data to back end.", err);
    });

MinecraftLearns

This is a class that handles the messages to the broker for the MinecraftLearns library. It provides the functionality to fully train and use the predictions from models using game data produced using the DataStore library.

We can create a connection with the back-end library by running the following:

var args = {
    connection: minecraft_api, 
    file_name: "", 
    model_type: "", 
    response_variables: [], 
    params: {}
}
var minecraft_learns = new MinecraftLearns(args);

This allows it to grab the previously loaded data file, then stores the type of model you are going to use, along with the parameter it is predicting on, and the columns to ignore when making the prediction.

process_data

This step processes the data file that was originally specified. This is asynchronous so you can use the then() javascript syntax to ensure that the data is processed before going onto the next step.

minecraft_learns.process_data();

train

This step trains the model using the data. Again this is async so you can use the then() syntax to control the process flow to wait for the backend response.

minecraft_learns.train();

predict

This takes in data from the game, and makes predictions using the model on the previously defined response_variable. This is async, so you can wait for the messages from the game by using then().

minecraft_learns.predict(data).then(
    prediction => {
        // ... your code to control the game here // 
    }
)

plot

The plot method allows you to create a custom plot of the in game data, which is saved to the disk for visualization.

It takes an optional filename parameter, if not specified it sets it to a UUID.

minecraft_learns.plot("filename");

save

Save allows you to save your model to the disk so it can be shared with other people or if you want to reload it at a later time.

It takes an optional filename parameter, and

minecraft_learns.save("filename");

load

Load allows you to load a previously trained model into the game. The model must have been created using the save functionality in minecraft_learns.

minecraft_learns.load("filename");

Full Example Script

// Importing the libraries //
<script type="module">

import MinecraftAPIClient from 'https://nathan-nesbitt.github.io/Minecraft_API/src/minecraft_api.js';

import MinecraftLearns from 'https://nathan-nesbitt.github.io/Minecraft_API/src/minecraft_learns.js';

import DataStore from 'https://nathan-nesbitt.github.io/Minecraft_API/src/minecraft_store.js';

// Create a minecraftAPI connection
var minecraft_api = new MinecraftAPIClient();

// Create a new command to the game saying hello
minecraft_api.Say(["Hello", "Friend"]);

// Creates 2 separate datastore connections for saving backend data //
var datastore = new DataStore(minecraft_api, "foo.csv")
var datastore_2 = new DataStore(minecraft_api, "foo_2.csv")

// Callback function that handles game data and saves it to the first file //
var callback_function = function(game_data) {
    datastore.store_value(game_data)
    .then((result) => {
        console.log("Successful insertion into back end", result)
    }).catch(err => {
        console.log("Error submitting data to back end.", err);
    });
}

// Callback function that handles game data and saves it to the second file //
var callback_function_2 = function(game_data) {
    datastore_2.store_value(game_data)
    .then((result) => {
        console.log("Successful insertion into back end", result)
    }).catch(err => {
        console.log("Error submitting data to back end.", err);
    });
}

// Creates two new event handlers for blocks being broken and placed //
minecraft_api.BlockBrokenEvent(callback_function)
minecraft_api.BlockPlacedEvent(callback_function_2)

// Load in minecraft model using block_broken.csv created before //
var args = {
    connection: minecraft_api, 
    file_name: "block_broken.csv", 
    model_type: "decision_tree_regression", 
    response_variables: ["FeetPosY", "Biome"],
    features: ["Block"]
}

// Create a model //
var minecraft_learns = new MinecraftLearns(args);

// Create a callback function that makes a prediction based on the game data //
var callback_function_3 = function(data) {
    minecraft_learns.predict(data, ["diamond_ore"])
    .then(
        result => {
            // Then use the response to tell the user where to do in the game //
            minecraft_api.Say(["to mine this resource go", result.body.prediction]);
        }			
    )
}

// Function that cleans the data, then trains it on the previously defined params //
minecraft_learns.process_data()
    .then(minecraft_learns.train())
    .then(() => {
        // Saves the model so you can use it later //
        minecraft_learns.save();
        
        // Then we create an event handler for the game event //
        minecraft_api.PlayerTravelledEvent(callback_function_3)
    })
</script>

Development

If you want to add to this, there is a basic python FLASK server that has been included to provide simple testing of functionality. It has a webpage inside of it called example.html which is served up from localhost:3000.

If you want to see how it is communicating in the game, you can open up the integrated terminal in the browser within the game by

Pressing c in game
Clicking on localhost:3000
Right click anywhere inside of the webpage that pops up, other than the editor.
Click inspect element and click Network and check the Disable Cache box
Go to Console and it will show output from the game. To refresh the page run location.reload()

To add new libraries to the game you simply need to:

Add a new JS file in /src called your_library.js that extends the backend_message.js class.
Override the toString() so that you can use it to send a message to the game. The parent BackendMessage has the core functionality for each message but you can add additional headers and body data required for your library. (See minecraft_learns.js for an example of how to do this)
Export your_library.js main class in the minecraft_learns.js file.

You can then send messages to the back end by simply calling this.send_backend_message(message) in your class.

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

README.md

README.md

Minecraft_API

How does it work?

How to use?

MinecraftClientAPI

EventHandler

Command

DataStore

store_value(game_data)

MinecraftLearns

process_data

train

predict

plot

save

load

Full Example Script

Development

Files

README.md

Latest commit

History

README.md

File metadata and controls

Minecraft_API

How does it work?

How to use?

MinecraftClientAPI

EventHandler

Command

DataStore

store_value(game_data)

MinecraftLearns

process_data

train

predict

plot

save

load

Full Example Script

Development