data:image/png;base64,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240.1750.2165710.22852400.2-165710.2-285240Connect to a broker
The options are not required but can be filled if needed
1. username (some brokers need this)
2. password (some brokers need this)
3. keepalive (default time is 60 seconds but some brokers need a shorter time)
4. connection callback (ringed set of scripts to be run when connection is made or remade)
ADVANCED: The brokers offered in the menu are accessed using default ports and basepaths (if needed). If accessing other brokers, the complete urls should be formed like this:
siteURL:port/basepath
e.g mqtt.eclipseprojects.io:443/mqtt
It is possible to have more than one connection to the same broker, for instance, using two different user/pass accounts simultaneously. To do this, add a connection id at the end of the broker:
e.g mqtt.eclipseprojects.io:443/mqtt|1
broker.emqx.iobroker.emqx.io
test.mosquitto.org
broker.xmqtt.net
broker.hivemq.com
60optionsusername1password2keepalive3mqt_connect(broker,callback,options)connectingconnectedSubscribe to a topic on a broker
Make sure you have already run an MQTT connect block before using this one
You should add a script to be run inside he grey ring.
It will be run each time a message is received
If you click on the arrow on the grey ring twice, you can use #1 and #2 inside your script.
#1 will contain the received payload
#2 will contain the received topic name
The options are not required but can be filled if needed
1. Subscribed QoS (0,1 or 2) Note this will be downgraded if it exceeds the QoS of the stored message held on the broker
2. Binary mode (boolean) Default (false) - payload is returned as text
If true, payload returned as single column list of values in the range of 0 to 255.. broker.emqx.iobroker.emqx.io
test.mosquitto.org
broker.xmqtt.net
broker.hivemq.comname0
falsePublish a message to an MQTT broker
The options are not required but can be filled if needed
1. QoS (quality of service 0,1 or 2 - see https://www.emqx.com/en/blog/introduction-to-mqtt-qos)
2. Retain flag (boolean)
3. Binary mode (boolean). Default (false) - the payload is published as text
If set to true then payload is expected to be a single column list of values in the 0 to 255 range and is published to the broker as a buffer of bytes.
Note: If the payload is a list and you don't set the buffer mode option, it will be automatically be converted into JSON and sent as text. Note that many brokers are configured to limit the payload size to 1 MB.
broker.emqx.iobroker.emqx.io
test.mosquitto.org
broker.xmqtt.net
broker.hivemq.comnamehello0
false
falsemqt_pub(broker,topic,payload,options)broker.emqx.iobroker.emqx.io
test.mosquitto.org
broker.xmqtt.net
broker.hivemq.comnameallall
broker.emqx.io
test.mosquitto.org
broker.xmqtt.net
broker.hivemq.comOptions:
1. Sub binary mode (boolean) Default (false) - received payload is returned as text.
If true then subscribed, received payload is returned as single column list of values in the range of 0 to 255.. Default (false) - it is returned as text
2. Pub binary mode (boolean). Default (false) - the payload is published as text.
If set to true then published payload is expected to be a single column list of values in the 0 to 255 range and is published to the broker as a buffer of bytes.
Note: If the payload is a list and you don't set the buffer mode option, it will be automatically be converted into JSON and sent as text
broker.emqx.iobroker.emqx.io
test.mosquitto.org
broker.xmqtt.net
broker.hivemq.comname/#false
falseerr_resetcallbackTopic@0false2received payloadreceived topic01The options are not required but can be filled if needed.
1. Append response topic (boolean): If true, the response topic is added at the end of the call topic after @ sign. The default condition (true) response topic is added.
2. Sub binary mode (boolean) Default (false) - received payload is returned as text.
If true,then the subscribed, received payload is returned as a single column list of values in the range of 0 to 255..
3. Pub binary mode (boolean). Default (false) - the payload is published as text.
If set to true then published payload is expected to be a single column list of values in the 0 to 255 range and is published to the broker as a buffer of bytes.
Note: If the payload is a list and you don't set the buffer mode option, it will be automatically be converted into JSON and sent as text
broker.emqx.iobroker.emqx.io
test.mosquitto.org
broker.xmqtt.net
broker.hivemq.comnamename2hellotrue
false
falsereceived payloadreceived topic020false3This is a simple echo example.
Topic can be used to filter the response.hellonameThe response topic should be a unique value for each call e.g. use timer
The options are not required but can be filled if needed
1. Timeout value - default is 3 seconds
2. Append response topic (boolean): If true, the response topic is added at the end of the call topic after @ sign. The default condition (true) response topic is added.
3. Sub binary mode (boolean) Default (false) - received payload is returned as text.
If true, subscribed, received payload returned as single column list of values in the range of 0 to 255.. Default (false) - it is returned as text
4. Pub binary mode (boolean). Default (false) - the payload is published as text.
If set to true then published payload is expected to be a single column list of values in the 0 to 255 range and is published to the broker as a buffer of bytes.
Note: If the payload is a list and you don't set the buffer mode option, it will be automatically be converted into JSON and sent as text
broker.emqx.iobroker.emqx.io
test.mosquitto.org
broker.xmqtt.net
broker.hivemq.comnamename2hello3
true
false
falsereceived payloadreceived topic030false4timer011000Encode costume, sound or data to Base64Modify variadic defaults to be able to work for blank entries
Any blank defaults should be set as zero width spaces which are removed by this reporter
This is needed for the username and password option in the connect block in the MQTT library
Decode costume, sound or data from Base64truetrueOpen (edit) this block to look at examples how to use the MQTT Extension blocks
Background documentation:
https://github.com/pixavier/mqtt4snap
Last source code version (mqtt.xml and mqttExtension.js):
https://gitlab.com/cymplecy/Snap/-/tree/master/librariesStep 0: Connect to the brokerPubSub Hello World!Step 1: Subscribe to a topicpayloadreceived topicStep 2: Publish a messagepayloadtopicStep 1: Activate the responder as a simple subscriptionStep 2: Send a request and wait the answer.To execute the examples, single click on blocks, following the corresponding steps.Step 2 bis: Send a request and do not wait for the answerSynchronous client-server Hello World! with dynamic response topic (timer)Step 1: Activate the responderStep 2: Send a request (timer acts as idCall) and wait for the answerAsynchronous client-server Hello World! with dynamic response topic (timer)payloadtopicStep 2 bis: Send a request (timer acts as idCall) and do not wait for the answerAsynchronous client-server Hello World! with static response topic (name2)payloadtopicfalseSynchronous client-server Hello World! with static response topic (name2)This block turns on (show) the watcher view on stage (if it was not already activated) of the variable with the given name (slot input).
It can only access to the closest variable scope (if there different variables with the same name in different scopes) following the order 'script' -> 'sprite' -> 'global'.
No errors if that variable does not exist.ca:mostra la variable _
es:mostrar variable _
pt:mostra a variável _
de:zeige var _
§_getVarNamesDictThis block sets the given value (last input) to the variable named with the name givent (var input).
It looks for that variable following the scope order 'script' -> 'sprite' -> 'global' (the first match it finds).
If that variable does not exist (in any scope) an error happens, stopping their script. You can check it before using the "does var (name) exists?" block. ca:assigna a _ el valor _
es:asignar a _ el valor _
pt:altera _ para _
de:setze var _ auf _
§_getVarNamesDictThis block creates new variables on the selected scope: global (for all sprites), sprite (for this sprite only) or script (only for that blocks stack) with the names given (in 'names' list).
If there is already a variable with that name in that scope, it does nothing: no errors and no overwrites.pt:cria as variáveis _ _
ca:crea les _ variables _
es:crear las _ variables _
de:erstellen _ var _
globalglobal
sprite
scriptSets the global instrument used for playing notes.PianoPiano
Brass={
French Horn
Trumpet
Tuba
}
Strings={
Banjo
Bass, Acoustic
Bass, Electric (Finger)
Cello
Guitar, Acoustic
Guitar, Electric
Harp
Koto
Sitar
Violin
}
Woodwinds={
Bassoon
Clarinet
Flute
Oboe
Saxophone
Shakuhachi
}
Drums={
Cabasa
Snare Drum
Bass Drum
Closed Hi-Hat
Open Hi-Hat
Mid Tom
High Tom
Crash Cymbal
}
Other={
Accordion
Marimba
Organ
Vibraphone
}Sets the global volume to the selected percentage.50Sets the default volume of the selected instrument to the specified percentage.PianoPiano
Brass={
French Horn
Trumpet
Tuba
}
Strings={
Banjo
Bass, Acoustic
Bass, Electric (Finger)
Cello
Guitar, Acoustic
Guitar, Electric
Harp
Koto
Sitar
Violin
}
Woodwinds={
Bassoon
Clarinet
Flute
Oboe
Saxophone
Shakuhachi
}
Drums={
Cabasa
Snare Drum
Bass Drum
Closed Hi-Hat
Open Hi-Hat
Mid Tom
High Tom
Crash Cymbal
}
Other={
Accordion
Marimba
Organ
Vibraphone
}50Plays the selected note for the specified musical duration. This block waits for the selected note to finish playing before moving to the next block.
Notes may be entered as Scientific Pitch Notation (eg. C4) or as MIDI numbers.
Note durations may be entered as duration names (eg. half, quarter, etc...) or as numerical values (eg. .5, .25, etc...)C3
D3
E3
F3
G3
A3
B3
C4
D4
E4
F4
G4
A4
B4
Sharps={
C#3
D#3
E#3
F#3
G#3
A#3
B#3
C#4
D#4
E#4
F#4
G#4
A#4
B#4
}
Flats={
Cb3
Db3
Eb3
Fb3
Gb3
Ab3
Bb3
Cb4
Db4
Eb4
Fb4
Gb4
Ab4
Bb4
}Whole
Half
Quarter
Eighth
Sixteenth
Thirtysecond
Dotted Notes={
Dotted Half
Dotted Quarter
Dotted Eighth
Dotted Sixteenth
}
Triplet Notes={
Half Triplet
Quarter Triplet
Eighth Triplet
Sixteenth Triplet
}Plays the selected note for the specified musical duration.
Notes may be entered as Scientific Pitch Notation (eg. C4) or as MIDI numbers.
Note durations may be entered as duration names (eg. half, quarter, etc...) or as numerical values (eg. .5, .25, etc...)C3
D3
E3
F3
G3
A3
B3
C4
D4
E4
F4
G4
A4
B4
Sharps={
C#3
D#3
E#3
F#3
G#3
A#3
B#3
C#4
D#4
E#4
F#4
G#4
A#4
B#4
}
Flats={
Cb3
Db3
Eb3
Fb3
Gb3
Ab3
Bb3
Cb4
Db4
Eb4
Fb4
Gb4
Ab4
Bb4
}Whole
Half
Quarter
Eighth
Sixteenth
Thirtysecond
Dotted Notes={
Dotted Half
Dotted Quarter
Dotted Eighth
Dotted Sixteenth
}
Triplet Notes={
Half Triplet
Quarter Triplet
Eighth Triplet
Sixteenth Triplet
}Plays a list of notes simultaneously for the specified musical duration.
Chords must be entered as a list.
Durations may be entered as duration names (eg. half, quarter, etc...) or as numerical values (eg. .5, .25, etc...)Whole
Half
Quarter
Eighth
Sixteenth
Thirtysecond
Dotted Notes={
Dotted Half
Dotted Quarter
Dotted Eighth
Dotted Sixteenth
}
Triplet Notes={
Half Triplet
Quarter Triplet
Eighth Triplet
Sixteenth Triplet
}Waits for the selected musical duration.
Durations may be entered as duration names (eg. half, quarter, etc...) or as numerical values (eg. .5, .25, etc...)Whole
Half
Quarter
Eighth
Sixteenth
Thirtysecond
Dotted Notes={
Dotted Half
Dotted Quarter
Dotted Eighth
Dotted Sixteenth
}
Triplet Notes={
Half Triplet
Quarter Triplet
Eighth Triplet
Sixteenth Triplet
}Each note duration is assigned a numerical value, with a whole note equalling "1".
Dotted Notes are equal to the named note plus half of the named note's duration.
Triplet notes are equal in duration to two of the named notes divided by three.
Multiplying the numerical value of a note duration by
4*(60 / tempo) adjusts the note durations to match the current tempo.QuarterWhole
Half
Quarter
Eighth
Sixteenth
Thirtysecond
Dotted Notes={
Dotted Half
Dotted Quarter
Dotted Eighth
Dotted Sixteenth
}
Triplet Notes={
Half Triplet
Quarter Triplet
Eighth Triplet
Sixteenth Triplet
}Reports all notes in a specified scale using the provided note and octave number as the starting note of the scale.
To add additional scales to the "Types" script variable, create a list with the name of the scale as the first item and the steps between each note of the scale as the second item.ChromaticChromatic
Major
MinorC40
1
2
3
4
5
6
7Reports "#" or "b" of the input scientific pitch notation contains either.Reports the note in a specific position within a major or minor musical scale. (e.g., The third note in a C Major scale starting in the fourth octave is E4.)11
2
3
4
5
6
7MajorMajor
MinorC40
1
2
3
4
5
6
7Reports the distance in steps between two notes in the selected scale. (e.g., In the C Major scale, there are two intervals between C4 and E4.)
If one or more of the selected notes is not in the selected scale, the block reports nothing.
Notes must be entered as scientific pitch notation (eg. C4).C4G4MajorMajor
MinorCChromatic
Major
MinorReports the notes comprising a major or minor chord, using the specified note and octave as the root note of the chord.MajorMajor
MinorC4This block finds the notes in a specified chord along the selected scale. Roman numerals differentiate chord positions from octave numbers (e.g., the Roman numeral “I” reports the notes of the first chord in the sequence). Upper case Roman numerals represent major chords within the scale. Lower case Roman numerals represent minor chords within the scale.MajorMajor
MinorC40
1
2
3
4
5
6
7II
ii
iii
IV
V
vi
vii°Major145367Major236145Major72Converts roman numerals to arabic numerals using an association table.Reports the notes of a diminished chord, given the starting note and octave of the chord.This block reports a chord and appends an additional note.May be paired with a musical duration to insert a rest into a sequence of chords.This block reports a series of beats that tell the drum when to play. Beats are represented as an “X,” which can be typed into the block. Beats can be added or subtracted using the arrows on the right of the block.This block reports a drum pattern, assigns a drum to it, and sets the duration value of each item in the pattern. Different drums can be selected from the drop-down menu. Beat durations can be selected from the drop-down menu or entered directly.Snare DrumBass Drum
Snare Drum
Crash Cymbal
Cabasa
Toms={
High Tom
Mid Tom
}
Hi-Hats={
Closed Hi-hat
Open Hi-hat
}EighthQuarter
Eighth
Sixteenth11
2
3
4
8
12
16
24
LoopLoopThis block is used to group sequences of notes and chords into measures. Each note or chord in the measure is paired with a note duration. The pairs are entered into the block using a list. This code block groups measures together. This can be helpful for separating groups of measures that repeat in various places throughout a song, like verses and choruses. This block works with both notes and chords. To add measures to a section, put the measures into a list.This code block specifies the type of track to be played and assigns it an instrument. Both the track type and instrument are set using drop-down menus. This block accepts notes or chords paired with corresponding durations. This block also allows for the creation of note or chord loops that will repeat for the whole duration of the song. Both types of loops may be selected from the track drop-down menu. For a loop to play, it must have an accompanying track that is not a loop.MelodyMelody
Chords
Loops={
Loop-Melody
Loop-Chords
}PianoPiano
Brass={
French Horn
Trumpet
Tuba
}
Strings={
Banjo
Bass, Acoustic
Bass, Electric (Finger)
Cello
Guitar, Acoustic
Guitar, Electric
Guitar, Overdrive
Harp
Koto
Sitar
Violin
}
Woodwinds={
Bassoon
Clarinet
Flute
Oboe
Saxophone
Shakuhachi
}
Drums={
Cabasa
Snare Drum
Bass Drum
Closed Hi-Hat
Open Hi-Hat
Mid Tom
High Tom
Crash Cymbal
}
Other={
Accordion
Marimba
Music Box
Organ
Vibraphone
}This block is used to play multiple music tracks. In most cases, several tracks with musical instruments are played in parallel. 4/44/4
3/4
5/4
7/4
6/8
9/8
12/8This block determines if the combined durations of notes or chords within a measure are correct. The combined duration of notes within a measure must equal the number of beats specified by the time signature.
When reading time signatures, the bottom number determines which note gets counted as a beat, and the top number determines how many beats are in a measure. For example, in 4/4 time, quarter notes are counted as beats and there are four quarter notes in a measure. In 6/8 time, the eighth note counted as the beat, and there are six eighth notes in a measure.
The Beats in Measure reports the discrepancy between the number of actual beats in a measure versus the required number of beats.
If name durations are not entered correctly, the block reports nothing.4/44/4
3/4
2/4
6/8
5/4
7/4
9/8
12/8Actual2 of beatsThe Note Duration Value block reports the numerical value of the input duration name.
Inputing a list of duration names outputs a list of values.QuarterWhole
Half
Quarter
Eighth
Sixteenth
Thirtysecond
Dotted Notes={
Dotted Half
Dotted Quarter
Dotted Eighth
Dotted Sixteenth
}
Triplet Notes={
Half Triplet
Quarter Triplet
Eighth Triplet
Sixteenth Triplet
}C4C3
D3
E3
F3
G3
A3
B3
C4
D4
E4
F4
G4
A4
B4
Sharps={
C#3
D#3
E#3
F#3
G#3
A#3
B#3
C#4
D#4
E#4
F#4
G#4
A#4
B#4
}
Flats={
Cb3
Db3
Eb3
Fb3
Gb3
Ab3
Bb3
Cb4
Db4
Eb4
Fb4
Gb4
Ab4
Bb4
}QuarterWhole
Half
Quarter
Eighth
Sixteenth
Thirtysecond
Dotted Whole
Dotted Half
Dotted Quarter
Dotted Eighth
Dotted Sixteenth
Dotted Thirtysecond
Whole Triplet
Half Triplet
Quarter Triplet
Eighth Triplet
Sixteenth Triplet
Thirty Second TripletThis block assigns a number, frequency, and amplitude to a tone.11
2
3
4
50.5.1
.2
.3
.4
.5
.6
.7
.8
.9This block turns the specified tone on or off. This block will play a sine wave. 11
2
3
4
5This block turns off all the tones currently playing. Passes through the signal from a MIDI controller, allowing the user to play the controller using the assigned instrument. The name of the MIDI controller must be input exactly as it appears on the user's computer.MPK mini 3MPK mini 3
MPK mini play
MPK Mini Mk II
M-audio Keystation 49esPianoPiano
Brass={
French Horn
Trumpet
Tuba
}
Strings={
Banjo
Bass, Acoustic
Bass, Electric (Finger)
Cello
Guitar, Acoustic
Guitar, Electric
Guitar, Overdrive
Harp
Koto
Sitar
Violin
}
Woodwinds={
Bassoon
Clarinet
Flute
Oboe
Saxophone
Shakuhachi
}
Drums={
Cabasa
Snare Drum
Bass Drum
Closed Hi-Hat
Open Hi-Hat
Mid Tom
High Tom
Crash Cymbal
}
Other={
Accordion
Marimba
Music Box
Organ
Vibraphone
}Reports the corresponding note (in scientific pitch notation) for the specified MIDI number, matching the use of sharps and flats to the input scientific pitch notation.60§_pianoKeyboardMenuSharpsSharps
FlatsReports the midi number of the specified note. The note should be entered using scientific pitch notation (e.g., "C4").Extracts the note name from the provided scientific pitch notation. (e.g., An input of "C4" produces an output of "C".)Association list for note names and their corresponding MIDI numbers in the first octave. Used to convert note names to MIDI. The second input is an "association list," a list of two-item lists. Each of those smaller lists has a "key" as its first item and a "value" as its second. ASSOC reports the first key-value pair in the association list whose key matches the first input.ca:associació _ _
Extracts the octave number from the provided scientific pitch notation. (e.g., An input of "C4" produces an output of "4".)323data:image/png;base64,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done with text200