Author Archives: ghp_Ar7p

scratch 1.4 mesh network with scratchClient

Scratch 1.4 on raspberry pi allows to connect with other scratch instances on other computers.

This is an experimental feature. This feature is not available in scratch1.4 for linux or windows, not in scratch2.

With this feature multiple scratch 1.4 can share events and (global) variables.

As this feature is experimental, there are some constraints and problems especially when scratchClient is used also.

ScratchClient has a feature to interconnect computers too. This uses which allows filtering and segmentation of larger networks.

Enable Mesh Session

Scratch 1.4 has a ‚Share‘ menu point. This menu has different content when ‚shift‘ is pressed before the mouse click.

Enable mesh session by ‘shift’ and press ‘Share’-menu.

‚Host Mesh‘ means that this scratch is opening the mesh. It ‚hosts‘ the mesh. In other words this scratch becomes a server.

‚Join Mesh‘ means that the scratch connects to a mesh network another computer has opened before. In other words this is a ‚client‘. The client needs to know the IP address of the server.

When ‚Host Mesh‘ is executed, the IP address of the computer is displayed.

There is a menu entry on a ‚host‘ computer which allows to display this again:

Computer A:

enable ‘host mesh’ session
display ip address, e.g.

Computer B:

join mesh session
enter ip address of computer A

Broadcast events of one computer are sent to computer B also.

Global variables of one computer are visible on ‘sensing’ tab, sensor values on the other computer.

The variable (here ‚a‘) can only be changed on the one computer where it is is created. Sensor value can‘t be changed.

Best Practice

  • Scope: Variables should be ‘for this sprite only’ whenever possible. Use ‘for all sprites’ only if needed or when these should be transferred to other computer.
  • Naming: Variables and events which need to be transferred should get a special name which includes the sending computer name. So if sending computer is ‘box07’ and variable is ‘a’, then name is ‘’.

Problems, Constraints

Persist connection

The client side does not store it’s state in the project file. ‘join mesh’ needs to be done each time the project is opened.

Topology with scratchClient

scratchClient connection works on server side only. On client side, when sensor network is enabled then the mesh connection is stopped and thus scratchClient can’t be used.

The ‚enable remote sensor connections‘ command is not needed when ‚Host Mesh‘ is used.


ScratchClient issues a warning about an unknown command, but this does not stop anything.


The involved computers need to be connected to a network.

When computers are configured to use fixed IP-Addresses, then for a two computer network a crossover-ethernet patch cable can be used.

Network connection on a raspberry pi.

The color of a cable does not imply whether a normal connection or crossover connection type cable is used.

howto: Edit scratchClient Config Files

There was a question on how to edit scratchClient config files. There was the need to add a Button to a GPIO. Button inputs are handled by a GPIOEventInput-Adapter.

This short walkthrough will not explain all the details but will concentrate on

  • where to find the files
  • use an editor
  • copy / paste an adapter
  • adjust relevant sections
  • save
  • and run it.

Where to find the files

Configuration files for scratch usually are in directory /home/pi/scratchClient/config/ . The ‘/’ at the end is used to mark a path as a directory.

Use an Editor

Config files are XML-Files, eXtensible Markup Language with the ending ‘.xml’. There are special editors for these files, but as xml is plain text a text editor can be used to edit.
For almost each adapter type there is a sample in these files. We start to edit the marked file config_ikg_button_intern.xml as it already contains a GpioEventInputAdapter which will be modified. Right-click on the file and select ‘open with – Text Editor’.

When the file is open, there are sections visible in brackets. Adapter definitions start with <adapter> and end with the next </adapter>. There can be multiple of these sections in one config files which are activa6ted by scratchClient at a time.

The adapter is light grey marked in the above screenshot. The colors are different between various editors.

Copy / Paste an Adapter

Copy this adapter and paste behind an existing adapter, behind the </adapter>-element. The sequence in the file is not important. You will notice that the sequence is used for the display in the adapter view in the browser. But technically all adapters work the same independent from their position in the file.

Adjust relevant sections

The config file provides the data for scratchClient hoq the adapter shall work. Some of the information needs to be unique, other information is needed to have meaningful names in scratch.

  • Adapter-Name: give the adapter an unique name. Best is to use a name which is close to its use in the system, e.g. ‘button_22’ or better ‘button_motor_left’. The ikg_config files are quite generic and therefor have most times just numbers. As you will use these files for a project, choose more meaningful names.
  • GPIO-Pin: A GPIO pin is only allowed once in a file. Select a free GPIO pin. The numbering scheme is BCM-numbers. Do not choose GPIO used for SPI, I2C or the Hat-eeprom. These names are case sensitive.
  • Scratch-Name: an event-adapter has two event outputs for button_pressed and button_released. These need to be mapped to the names used in scratch. Use a meaningful name like ‘button_motor_left_pressed’ and ‘button_motor_left_released’.
  • The GPIO settings are ‘inverse =true’ for a button which is connected between GPIO and ground. Leave as it is. The poll.interval is 50 ms which is fast enough for even fast games.

Save the file

Save the file in a different location. Choose directory /home/pi/scratchClient/configuser/ which is dedicated for user files.
Files in userfiles are searched first at scratchClient startup. And will never be overwritten on updates.
Give the file a name which is releted to the project, e.g. config_project.xml. The extension ‘.xml is needed.

Run the file

Start scratchClient.

cd ~/scratchClient
python3 src/ -c userconfig/config_project.xml

The command line in scratchClient allows some flexibility to lookup the config files. The -c option allows to omit the extension and the prefix ‘config_’. The lookup procedure first looks in ./userconfig/’, if not found in ‘./config/’. The following command line is performing the same file lookup as above.

cd ~/scratchClient
python3 src/ -c project

Check the scratchClient browser adapter view localhost:8080.

The name button_motor is visible. The quite long scratch names are truncated, but this only in the view.

Editing a .xml file can be a challenge. If there are problems, scratchClient will reject to load the file and give error messages in the console.

servo for scratchClient

During a conversation on scratch forum there have been quite a few issues to get a servo run on someones computer.

Here a video on installation scratchClient on a new sd card, run scratchClient and prepare a script in scratch1.4.

install scratchClient and running servo sample.

The sequence is shortened a bit. Especially the system update is at multiple speed.

When the servo moves, there is noticeable jitter. Caused by delays in python and operating system.

scratch2 connected to scratchClient

Did you ever want to control GPIO from scratch2 ? Or other sensors connected to a raspberry pi ?

The last days I worked on connecting scratch2 with GPIO on raspberry and more.
To be precise, this is done by either using scratchx or since june 2017 with the standalone version of scratch2 for raspbian.

  • use scratch2 version named scratchX which supports ‘scratch extensions’. This version is identical to scratch2 with few limitations. Or use the standalone version on raspberry.
  • extending scratchClient to talk with scratch2 and providing sensor values and events, but also receive values from scratch2 and events.
  • scratchClient using adapters to connect peripheral devices as usual. For example to GPIO.
  • The blocks in scratchX are defined from the information available in the config file used by scratchClient.

This new version of scratchClient is still supporting scratch1.4 and there are no changes in the config files needed.

One of the limitations in scratchX are that sharing projects is not possible.

The extension blocks in scratchX are defined using the definitions from the config xml file from scratchClient. So there is no programming effort needed to build the extension file.

Current implementation allows to send/receive values and events from scratchX to/from scratchClient. This is similiar to the features available in scratch1.4 with the broadcast system.

Problems, Inconsistencies with scratch 1.4 broadcast system

In legacy 1.4 scratch, there are some predefined blocks for motors and sensor names for scratchBoard. This needed many explanations for unexperienced users to avoid confusion.

scratch 1.4 motor blocks in sensing palette

scratch 1.4 default sensor names

It was also difficult to explain that values from scratchClient are received as sensor values, but values to be sent out need to be defined as variables ‘for all sprites’.

In addition to this, the extra step ‘enable remote sensor connections’ is hidden down in a context menu of a block on lower edge of the window.

Advantages of the scratch2, scratchX block based interfacing

In scratchX, all the capabilities of the external system are exposed as blocks. This avoids all the mentioned problems from legacy scratch 1.4.

Modifications in scratchClient

scratchClient in its initial design is scratch1.4 centric. The start and stop logic is scratch 1.4 oriented and needed another structure.

During this work, the internal web app was lifted to use tornado framework. Which has build in websocket support and is easier to use as cherrypy. As scratchX is online only, the connection to a local data provider needs to bypass the ‘same server policy’ and this was quite simple to achieve with tornado.
Monitoring and simulation of events is still possible by using the internal web server. Some bugs have been removed in the web pages on this way.

Setup procedure

As the experimantal scratchClient is merged into scratchclient, the installation is same as for scratchClient.

Start scratchClient with the configuration xml file for your hardware. I recommend using python3 to run scratchClient. Unicode support is the reason for this.


scratch2 / scratchX does not need to run on same computer as scratchClient. The communication beween scratchX and scratchClient uses websocket and http requests. In my test environment, scratchX runs on windows and scratchClient either on a raspberry or on windows.

Start scratchX

Load into the browser.

Load extension loader

In ‘more blocks’, ‘Load Experimental Extension’,

press on Load Experimental Extensions and open Extension URL

Paste the following url into the form

This url brings the Load Extension Block into the additional block palette.

Connect to scratchClient

The Load Extension Block is now used to load the scratchClient configuration. Best practice is to prepare a small script in stage which loads the scratchClient config.

Add a wait block before the ‘broadcast [blueFlag]’ with 5 seconds. This gives the extension the needed time to load and to initialize.

The program should use ‘blueFlag’ in all places where the green flag hat  is usually used.

The url to use to load the scratchClient extension is


Copy paste this url into the ‘load extension block’. If scratchClient is running on a different computer, change ‘localhost’ to either the other computer’s IP-address which is something like or perhaps a more meaningful name if the network configuration allows.


See the ‘green’ dots to the right of the extension name. If these turn red, connection is lost. Possibly scratchClient has been stopped, can’t be reached or other problems. In my tests the connection was stable.

Extra step for the preview: start legacy scratch and open remote sensor connection.

Loading a project using scratchClient extension

A program loaded from file system shows the Load Extension Block, but not the scratchClient extension. The blocks from the scratchClient extension are displayed as red blocks.

When program is started with green flag and the proposed initial script is executed, the Load Extension Block reads the extension from scratchClient and the program can be used.

Start scratch2 on raspbian

In raspbian jessie june-2017, there is a standalone scratch2 version available.

Start from programming/scratch2.

Press shift key and the file menu. The file menu now displays more options.

Select import experimental extension.

Paste the url into the dialog: http://localhost:8080/scratchx/js/extension.js

Validate in ‘more blocks’. The example here is for a test adapter and looks different for your configuration file.

This scratchClient version is released

There are no known limitations for this release.
Just start scratchClient and use either scratch1.4 (enable remote sensor connections) or follow the procedure to set up a scratch2/ scratchX connection.

Some features have been removed. Command line switches to control the gui are removed. As the web app server is needed to connect to scratchX, this does not allow to disable the web browser.

Example: Controlling two wheel robot pi2go with scratch2

The tests for the scratchX integration have been performed with a new pi2go-configuration. This includes GPIO, PWM, hardware PWM and ADC chips.

The monitoring/simulation web page display the many inputs and outputs available for this robot.

Not all adapters fit on the page.

The blocks build from this config in scratchX are (not all blocks shown).

On stage, there are the lights reporters and distance reporter visible.


Raspberry Pi GPIO to web page

In the Rasperry Pi forum, there are quite often questions on how to get a GPIO pin status displayed on a web page.

Common attempts are with CGI scripts; webiopi or other frameworks are proposed. CGI is quite outdated; and complex frameworks handle many technologies under the hood and leave few opportunities to learn.

I usually propose an architecture based on a python web application server, using websockets to send events to the browser. The browser uses javascript to display the data. Collection of GPIO events is done in a thread and data are sent through a queue to the python web application server. This architecture can be tested step by step and can be adjusted to different needs.

An overall sketch of the modules shows the connection between the components.

Basic sequence is: (1) Browser requests web page from server, (2) server provides web page and (3) javascript in browser is activated. (4) Javascript opens a websocket to the server. In the server, there are handler for the http request and web socket. The peripheral access is handled in a separate class and (5) sends data through a queue to the web socket handler. (6) in browser, javascript sets the received data into the html-document.

(1) Browser requests web page. The python web application server is responsible to handle this.

(2) To provide the page, the ‘tornado’ package is used. All these web app servers consist of Handler classes for various purpose. The tornado  framework uses a mapping from web request pathes to the Handlers.

def make_app():
    return tornado.web.Application(
                     (r"/"  , MainHandler),
                     (r"/ws", ClientWebSocketHandler),

The ‘root’ path for a web page is ‘/’. This is the  path a browser requests when is requested. The http requests have various types, the usual request for a page is a ‘get’ request. The tornado routes this request to the MainHandler, and as it is a get request the method called is the ‘get()’-method.

To tell the whole story, the app server is initialized with

if __name__ == "__main__":
    app = make_app()
    except KeyboardInterrupt:
        runMessageSend = False

In this code, there is also the port 8080 in the listen-statement. The url for a browser is



There is extensive documentation on the tornado web site ‘.tornadoweb’.

A basic implementation for the MainHandler is

class MainHandler(tornado.web.RequestHandler):
    def get(self):
        self.write( "hello world" )

Instead of the simple ‘hello world’ a web page is produced. Html pages are xml structures, containing <head> and <body>-Elements.

class MainHandler(tornado.web.RequestHandler):
    def get(self):
        self.write( """<html>
        <title>Websocket sample</title>
        Sample connection to a Raspberry Pi

The quotation with the three quotes allows to use multiline content, which makes editing simpler.

So far the page contains only the basic elements. As we later need some boxes to add text, these are defined with labels.

        <title>Websocket sample</title>
        Sample connection to a Raspberry Pi
           <div  style="position:relative; width:400px; height:80px;" >
               <div id="addr" style="width:400px; height:20px;">    addr    </div>
               <div id="status" style="width:400px; height:20px;">  status  </div>
               <div id="msg" style="width:400px; height:20px;">     message </div>


        Connection Status
        <div id="connection" style="position:relative; width:200px; height:40px;background:lightgrey; font: 30px arial, sans-serif;" >
        Message display
        <div id="feld" style="position:relative; width:200px; height:40px;background:lightgrey; font: 30px arial, sans-serif;" >
        </div> ..."""

(3) The javascript part plays its role now. With javascript, websockets can be opened and data can be send to the server or received from the server.

(4) To open a socket, the address needs to be build from the servers address. As the web page is received from the server, this is already known inside the browser context. Instead of http:// as the protocol, the protocol used is ws://. For a local connection, this results in “ws://localhost:8080/ws”. The trailing “/ws” is needed for the tornado routing which addresses this request to the WebSocketHandler.

var addr = "ws://" + window.location.hostname + ":" + window.location.port + "/ws";
var websocket = new WebSocket( addr );

Javascript uses ‘callback’ methods on websocket events.

    websocket.onmessage = function(e){
    websocket.onopen = function(){
       console.log('Connection open!');
    websocket.onclose = function(){
       console.log('Connection closed');

The content is abbreviated … for clarity. The console.log(‘hello’); is a convenient way to debug javascript in a browser. If firefox is used, the debugger is available inside the browser. In earlier releases there was usually ‘firebug’ used, an extension to firefox. In newer releases – here I use 53.3 – firebug is no longer supported and “Firefox DevTools” instead. These are activated with a right click in the page and ‘inspect element’.

Really useful for finding out what the system is doing. Of course the debugger is also sometimes needed.

When the connection is opened, the callback function sets the status color.

    websocket.onopen = function(){
       console.log('Connection open!');
       document.getElementById("connection").style.background = 'lightgreen';
       document.getElementById("status").innerHTML = 'connected !';

The elements retrieved from the html document are the named ‘div’ sections ‘connection’ and ‘status’.

Next important step is inside the python app server. When socket is opened, an instance of ClientWebSocketHandler is created. In the current application, the class starts a thread which shuffles data from a queue into the send method. So whenever a message is on the queue, this message is sent to the browser.

# a variable to gracefully stop the threadsrunMessageSend = True       

class ClientWebSocketHandler(tornado.websocket.WebSocketHandler):
    def __init__(self, args, kwargs):
        tornado.websocket.WebSocketHandler.__init__(self, args, kwargs)
        self.my_thread = threading.Thread(target =
    def run(self):
        while runMessageSend:
                # something on the queue ?
                s = sendQueue.get(block=True, timeout=0.1)
            except Exception:
            # doublecheck if connection available
            if self.ws_connection is None:
                print("discard ", s) 
                print("send ", s) 
                    # and send toward the browser
                    self.write_message(s )
                except Exception:

(5) The other side of the queue can be used as needed. As a sample, here just a debug-Sending class which sends ‘on’, ‘off’ packed in a json telegram.

# messages from Periphaeral Class to Websocket
sendQueue= Queue.Queue()

class PeripheralDebug:
    """Debug class"""
    def __init__(self, sendQueue):
        self.sendQueue = sendQueue
    def start(self):
        self.runit = True
        blinkThread = threading.Thread(target=self.blink)
    def stop(self):
        self.runit = False
    def blink(self):
        cnt = 0
        while self.runit:
            self.sendQueue.put( { 'data': 'on', 'cnt' : cnt } )
            cnt += 1
            self.sendQueue.put( { 'data': 'off', 'cnt' : cnt } )
            cnt += 1

The json telegrams “{ ‘data’: ‘on’, ‘cnt’ : cnt }” contain the ‘data’-element and a counter ‘cnt’. It is usually a good idea to pack a telegram counter into a telegram. This helps to find out whether messages are lost or a connection was broken for some time.

The queue is created with Queue.Queue(), which is typical for python 2; in python3 it is more consistent with queue.Queue().

The PeripheralDebug-Class is started with

peripheral = PeripheralDebug()

Instead of this debug-Class, a ‘real’ PeripheralGPIO class can be used. When the Telegram is the same, and the queue is same queue as before, this can be exchanged easily.

class PeripheralGPIO:
    """Connection to a GPIO pin"""
    def __init__(self, sendQueue):
        self.sendQueue = sendQueue
       = 4
        GPIO.setup(, GPIO.IN, pull_up_down=GPIO.PUD_UP)

    def start(self):
        self.runit = True
        blinkThread = threading.Thread(

    def stop(self):
        self.runit = False
    def run(self):
        cnt = 0
        prev = None
        while self.runit:
            res =  GPIO.input(
            if prev != res:
                if res:
                    self.sendQueue.put( { 'data': 'on', 'cnt' : cnt } )
                    self.sendQueue.put( { 'data': 'off', 'cnt' : cnt } )
                cnt += 1
                prev = res
            # for debouncing and limiting number of events per time

In IT terminology, these two classes PeripheralGPIO and PeripheralDebug use the same interface. Unfortunately,  in python Interfaces are not very prominent. To make this ‘Factory Pattern’ complete, there is also a PeripheralFactory which returns either the debug-version or the GPIO-version of these classes.

class PeripheralFactory:
    def getPeripheral(debug):
        if debug:
            return PeripheralDebug(sendQueue)
            return PeripheralGPIO(sendQueue)
peripheral = PeripheralFactory.getPeripheral(debug)

(6) Last step is to display the data from the websocket in the browser, so javascript gets this task:

    websocket.onmessage = function(e){
        var server_message =;
        var obj = JSON.parse(server_message);
        document.getElementById("feld").innerHTML =;
        if ( == "on" )
            document.getElementById("feld").style.background = 'yellow';
            document.getElementById("feld").style.background = 'lightblue';
        document.getElementById("msg").innerHTML = server_message;

The message data are retrieved from the event-attribute data “”. As this message is  json, this is parsed with JSON.parse(server_message); returning an object. The data part of the json dictionary is retrieved with and accordingly the status box is getting its color.

The complete code can be downloaded here.


Sonic Pi controlled from scratch

Sonic Pi is great software to produce sounds and to program melodies.

Sonic Pi has an API which allows to use some of the program statements from an external program. There are some places in the web where this feature is used with erlang- or ruby-code.

This adapter for scratchClient and the programming in scratch  is not intended to be a replacement to the Sonic Pi programming language. The reason is the timing of commands in scratch, which is not very precise and command execution delays are audible. But it can be used as a high quality sound generator for scratch games.

The API uses Open Sound Control OSC-format for the messages, so the Sonic Pi commands needs to be packed into this format. This format packs strings into a byte stream with null-bytes as terminators. An example is sending ‘play 60’, which needs the basic parameters ‘/run-code agent-name code’; the agent used is SONIC_PI_CLI and the command part is here ‘play 60’.

The OSC message is as follows

b'/run-code\x00\x00\x00,ss\x00SONIC_PI_CLI\x00\x00\x00\x00play 60\x00'

The strings are zero padded to 4 byte boundaries; the type of option is given by the two string-types ‘s’ after the command.

This conversion is done with the python_osc library; this library needs to be installed in addition to the standard install procedure.

sudo pip3 install python_osc

This library is available for python3 only. As scratchClient is continuously moving towards python3, this is not a restriction.

The software runs on linux and windows. scratchClient and Sonic Pi need to run on same machine, as Sonic Pi accepts only local connections.

Commands are ‘play 50’ for a simple beep, or ‘use_synth :chiplead ; play 80,release: 0.08 ; sleep 0.1 ; play 83, release: 0.08’ for a sequence of notes.


In scratch, just set a variable sonicpi_cmd to the command needed.
More details in the scratchClient docs in … lient.html

The setup requires to have Sonic Pi running on same computer as scratchClient.
The commands executed are displayed in Sonic Pi window in the protocol-pane.

Errors in commands are displayed in the Sonic Pi window, so when no sound is produced it is a good place to look.

A more advances example is ‘Alle meine Entchen’ played from a list of sounds and a second list with time delays.

The script uses two lists to produce sound. ‘ame’ is containing sonic pi commands, ‘amd’ is providing timing information.

With these two lists, the script is just iterating through the list and sending commands to sonicpi_cmd-variable. As scratch is not sending out variable information when content does not change, it is needed to reset the information to an empty string in order to get notes repeated.

The scratch 1.4 project can be downloaded here.

Have fun !

scratchClient and scroll_phat_hd

There is a nice little led matrix moard from PIMORONI, “SCROLL PHAT HD”. The form factor is for the pi zero, but it runs well also with a pi 3.


scratchClient offers support for this board.

The interface allows to set pixel with brightness, write large and somewhat smaller text and of course clear the display.

There is a sample scratch script in scratch/scrollphathd/

There are quite a few commands from scratch which need parameters.
This is not a trivial task with scratch. Here a variable is used as a ‘command’-Variable ‘sph_command which receives operation names optionally with parameters.

Clear the display. There is also a broadcast command for this ‘clearDisplay’

Set a pixel at x=1, y=1, brightness = 1.0. Valid ranges are x in [0..16], y in [0..6], brightness is [0.0..1.0]. Values out of scope are ignored.

Draw a box between two pixels, here between [0;0] and [17;7] with brightness 0.3. This command effectively sets all led to on.

There are two text variables provided with a 5*7-font and a 3*5 font. Not all chars are supported. The 5*7 font basically supports ascii, the 3*5 font supports digits and some extra chars as ,;.:-_+\/.
The fonts are defined in ‘pseudographics’ in a python file and can easily be expanded.

There is a sample config file available, start scratchClient with

cd ~/scratchClient
python src/ -c config_scrollphathd

The adapter code has been written based on code from pimoroni.

minecraft and scratchClient

On raspberry pi, there is a local minecraft release available which supports a python API.

There is a MinecraftAdapter available for scratchClient which supports this API and allows to do basic operations.

For most of the operations, there are coordinate values to be set first before the operation is performed.

Example: set position of ‘person’.

Example: set Block

There is a sample scratch application in scratch/minecraft/ which demonstrates the basic concepts.

There are some demo scripts in One of these writes ‘scratch’ to the landscape. There is no ‘printString’-Function in the adapter. The pixel are defined in a local list, containing x and y-values of pixels. The data for this array are generated by a small python script and then imported into the list.

The python code is in scratch/minecraft/ Run it by

python > scratch_x_y.txt

and import the txt-file into the array.

The python code is quite simple.

f0="                         *          *        "    
f1="                         *          *        "
f2=" ***   ***  * **   ***  ***    ***  * **     "
f3="*     *   * **  *     *  *    *     **  *    "
f4=" ***  *     *      ****  *    *     *   *    "
f5="    * *   * *     *   *  *  * *   * *   *    "
f6="****   ***  *      ****   **   ***  *   *    "

def printPixel(f, level):
    for i in range(len(f)):
        if '*' == f[i]:
            print(i)      # print x-koordinate
            print(level)  # print y-koordinate
printPixel(f6, 1)
printPixel(f5, 2)
printPixel(f4, 3)
printPixel(f3, 4)
printPixel(f2, 5)
printPixel(f1, 6)
printPixel(f0, 7)

The pixels are defined in ‘pseudographic’. It is simple to add more text, decorations or extend the output by colors ( * ==> green, # ==> red) and adjust the scratch script to take each third line for the color information.
But keep in mind that ‘the world’ is limited size for minecraft for py and coordinates should be kept in range.

scratchClient with MQTT-Adapter

MQTT Description

MQTT, Message Queue Telemetry Transport, is a is an ISO standard for a publish-subscribe based messaging protocol. It is based on TCP/IP (the ‘usual’ network protocol) and especially designed for small devices and low network bandwidth.

A typical infrastructure contains at least one MQTT-Broker and one to many clients connected to the broker. This infrastructure can be spread to many computers.
A broker just receives messages sent by clients and distributes these to those clients which have subscribed to messages with specific topics.

A MQTT-message is build of a topic and a payload. Topics are strings like ‘home/room1/temperature’ or ‘client1/status’. Payload can be whatever data are needed to be send, this can be strings, binary data as integers, data structures. The broker does not process the data, it is up to the subscriber to ‘know’ how to process the payload.

From the description so far it is clear that there is the need to design the topics in a way that the system is extensible. This is paperwork, most of the time.

There are many more features in MQTT. See the homepage for more details.

scratchClient MQTT-adapter configuration

For scratchClient, the MQTT-adapter can publish messages and subscribe to topics. The topics managed are defined in the config xml. a sample file is included in the distribution.

    <adapter class='adapter.iotAdapter.MQTT_Adapter'  name='mqtt'>
        <description>interface to a mqtt-server</description>
           this adapter does implicit input_value and output_value-configuration 
           based on the content of mqtt-Tag.
              mgtt/publish/@variable definitions are used as scratch variable names.
              mgtt/subscribe/@variable definitions are used as scratch sensor names.
            <!--  when @variable is omitted, the topic is taken as variable name -->
            <publish topic="scratch/sample/a_value" />
            <publish topic="scratch/sample/b_value" variable="b_value" />
            <publish topic="scratch/sample/c_value" variable="c_value" />
            <subscribe topic="scratch/sample/d_value" variable="d_value" />
        <parameter name="mqtt.server" value=""  />
        <parameter name="mqtt.port" value="1883"  />

ScratchClient needs definitions on which variables to send out ‘publish’ and which ones to provide as sensor values ‘subscribe’.

The publish definition can be as short as the example here. This short definition takes the topic name also for the scratch variable name.

<publish topic="scratch/sample/a_value" />

In scratch, a variable named ‘scratch/sample/a_value’ will be published by the topic ‘scratch/sample/a_value’.

When more control on the scratch variable name is needed, the extended definition can be used:

<publish topic="scratch/sample/b_value" variable="b_value" />

Now a variable in scratch ‘b_value’ is published with topic ‘scratch/sample/b_value’.  I prefer to take the scratch name as the last section in the topic, but the variable name can be any valid name for scratch, e.g. ‘temperature’ or ‘xyz’.

<publish topic="scratch/sample/b_value" variable="temperature" />

For the subscribers, the definition is

<subscribe topic="scratch/sample/d_value"  />

This will result in a sensor value reported with name ‘scratch/sample/d_value’. There is also the possibility to match the sensor name by using the extended form

<subscribe topic="scratch/sample/d_value" variable="temperatureOfSample" />

Please note that wildcards in topics should not be used.

The parameters for the adapter define the connection details

        <parameter name="mqtt.server" value=""  />
        <parameter name="mqtt.port" value="1883"  />

For the sample, the plain IP-address is given. Use ‘localhost’ or ‘’ when the mqtt-broker is on same machine.

The MQTT-Adapter is based on eclipse-paho python library and is available on raspberry pi, linux, windows and many more platforms.

For the broker there is mosquitto available for raspberry pi. Just install by

sudo apt-get install mosquitto

This installs the server and starts the server in the background. This is good for a private environment. For a public installation, be sure to look into the docs for securing the environment.

Sample setup

In the scratchClient distribution, there is a sample configuration for a small usage scenario. This requires two computers, as scratch 1.4 with scratchClient can’t be started multiple times on one machine. The sample transmits a button press from GPIO and publishes by a topic ‘scratch/sample/button’ to the second installation, where in scratch a popup is triggered.

The config files are for computer 1 scratch/mqtt/dev_0/device_0.xml
the config files are for computer 1 scratch/mqtt/dev_1/device_1.xml

Be sure to edit the files to have the correct IP-addresses for the mqtt-broker.

On computer ‘dev_0’, there is a button needed from from GPIO17 (BCM) to GND.

   <adapter class='adapter.iotAdapter.MQTT_Adapter'  name='mqtt'>
        <description>interface to a mqtt-server</description>
            <publish topic="scratch/sample/button" variable="button" />
        <parameter name="mqtt.server" value=""  />
        <parameter name="mqtt.port" value="1883"  />
    <!-- =========================================================================== -->
    <adapter class='adapter.gpio.GpioEventInput' name='button_s0'>
        <gpio port='GPIO17'>
            <default dir='IN' pull='PUD_UP'  />
            <active dir='IN' pull='PUD_UP'/>
        <output name='button_pressed'>
            <broadcast name='s0_high'/>
        <output name='button_released'>
            <broadcast name='s0_low'/>
        <parameter name='poll.interval' value='0.05' />
        <parameter name='value.inverse' value='true' />


The scratch code for dev_0 is straightforward.

The adapter GpioEventInput sends events ‘s0_low’ or ‘s0_high’ on button release/ press. The parameter ‘value.inverse’ for this adapter switches high/low values. This is needed here as the button is connected from GPIO to GND and a button pressed is electrically a low signal.
The scratch code translates the button events to variable values for the MQTT-Adapter. When the button is pressed, a value ‘pressed’ is set to variable ‘button’. This variable is then sent to scratchClient where the MQTT-Adapter publishes the value with topic ‘scratch/sample/button’.

With a mqtt-client as mqtt.fx this topic can be observed. The client ‘mqtt.fx’ is a java-fx based tool which unfortunately is not easy to execute on raspberry due to missing fx-libraries. I have this tool running on a windows machine.

For the second device another computer is needed. The config file (here only a snippet) subscribes to the well known topic “scratch/sample/button” and provides the value for a sensor variable ‘button’ in scratch.

 <subscribe topic="scratch/sample/button" variable="button" />

The scratch code is staightforward, the value of the variable is displayed on the stage.

scratchclient is available from the download page