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Use Raspberry Pi board that runs Python WebSockets to Publish to a Channel

This example shows how to use WebSockets on port 80 to publish to a ThingSpeak™ channel using a Raspberry Pi™ board that runs Python®. If you have more than one sensor value that you want to send to ThingSpeak, you can choose to publish multiple values to a channel feed. In this example, the CPU and RAM usage of the Raspberry Pi board are collected once every 20 seconds, and the values are published to a channel feed. Alternatively, you can publish a single value to a channel field if you have only one value to update.

 Click Here for Python Code to Publish to a Channel Feed Using WebSockets

  1. Create a new channel as shown in Collect Data in a New Channel.

  2. Download the Paho MQTT client library for Python. Include the libraries import paho.mqtt.publish as publish, import psutil, and from __future__ import print_function in your Python code.

    import paho.mqtt.publish as publish
    import psutil
    from __future__ import print_function

  3. Define the channel ID, write API key, and ThingSpeak MQTT broker.

    # The ThingSpeak Channel ID
    # Replace <YOUR-CHANNEL-ID> with your channel ID
    channelID = "<YOUR-CHANNEL-ID>"
    # The Write API Key for the channel
    # Replace <YOUR-CHANNEL-WRITEAPIKEY> with your write API key
    # The Hostname of the ThinSpeak MQTT broker
    mqttHost = ""

  4. Define the connection type as websockets, and set the port to 80.

    tTransport = "websockets"
    tPort = 80

  5. Create the topic string of the form shown in Publish to a Channel Feed to update field 1 and field 2 of the specified channel simultaneously.

    # Create the topic string
    topic = "channels/" + channelID + "/publish/" + apiKey

  6. Run a loop that calculates the system RAM and CPU performance every 20 seconds and publishes these values to fields 1 and 2 of the specified channel simultaneously using websockets.

        # get the system performance data
        cpuPercent = psutil.cpu_percent(interval=20)
        ramPercent = psutil.virtual_memory().percent
        print (" CPU =",cpuPercent,"   RAM =", ramPercent)
        # build the payload string
        payload = "field1=" + str(cpuPercent) + "&field2=" + str(ramPercent)
        # attempt to publish this data to the topic 
            publish.single(topic, payload, hostname=mqttHost, transport=tTransport, port=tPort)
        except (KeyboardInterrupt):
            print ("There was an error while publishing the data.")

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