Spark.subscribe()
The Spark team is super proud to release in
v0.2.2
a much anticipated feature: Spark.subscribe()
.
Now it’s easier than ever to pass messages from one Core to another.
If you’ve worked with Spark.function()
, this will look very familiar.
Just write your own event handling function, and register it in setup()
.
Here’s an example where the event handler is called ledOn()
:
int onTime = -10000;
void ledOn(const char *event, const char *data) {
onTime = millis();
}
void setup() {
pinMode(D7, OUTPUT);
Spark.subscribe('light-up', ledOn, MY_DEVICES);
}
void loop() {
bool isOn = digitalRead(D7);
if (millis() - onTime < 500) {
if (!isOn) {
digitalWrite(D7, HIGH);
}
} else {
if (isOn) {
digitalWrite(D7, LOW);
}
}
}
In setup()
I subscribe to the “light-up” event.
By adding MY_DEVICES
to the subscription call,
I make sure other people’s Cores can’t turn on my LED.
Now whenever any of my Cores publishes “light-up”,
the Cloud will send that event to my Core, which will call ledOn()
The loop()
just checks whether we updated the variable onTime
within the last half second.
If so, and if the LED is off, we turn it on.
The else clause just turns the LED off half a second later.
Now I install the following firmware on a different Core to publish the “light-up” event.
int last;
bool ready;
void setup() {
pinMode(D3, INPUT);
last = millis();
ready = true;
}
void loop() {
if (millis() - last > 200) {
if (digitalRead(D3)) {
// button pressed
if (ready) {
ready = false;
Spark.publish('light-up');
last = millis();
}
} else {
// button released
ready = true;
}
}
}
I wire a button between 3V3 and D3 and add a pull-down resistor between D3 and GND.
That way, D3 stays low most of the time, but it goes high while the button is pressed.
The code simply listens for D3 to go high and publishes “light-up” when it does.
The last
variable is used to debounce the button,
making sure we don’t rapidly publish lots of events on the rising edge.
The ready
variable ensures only one event per button press—you
have to release the button before ready
becomes true again.
Here’s a video of it working.
The Spark Core on the right publishes; the one on the left subscribes.
Check out the full Spark.subscribe()
documentation.
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