Azure IoT Central Connectivity Part4

The Things Network(TTN) Friendly Commands

I have built a several Proof of Concept(PoC) applications (Azure IoT Central Basic Telemetry, Basic Commands, and Request Commands) to explore to how an Azure IoT Central integration with TTN could work. This blog post is about how to configure queued and non queued Cloud to Device(C2D) Commands with request parameters so they should work with my TTN Message Queue Telemetry Transport(MQTT) Data API connector.

I have focused on commands with Analog values but the same approach should be valid for other parameter types like Boolean, Date, DateTime, Double, Duration, Enumeration, Float, Geopoint, Vector, Integer, Long, String, and Time.

Multiple versions of my Azure IoT Central templates

There was a lot of “trial and error” (26 template versions) required to figure out how to configure commands and queued commands so they can and used in TTN downlink payloads.

{
  "end_device_ids": {
    "device_id": "dev1",
    "application_ids": {
      "application_id": "app1"
    },
    "dev_eui": "4200000000000000",
    "join_eui": "4200000000000000",
    "dev_addr": "00E6F42A"
  },
  "correlation_ids": [
    "my-correlation-id",
    "..."
  ],
  "downlink_ack": {
    "session_key_id": "AWnj0318qrtJ7kbudd8Vmw==",
    "f_port": 15,
    "f_cnt": 11,
    "frm_payload": "....",
    "decoded_payload": 
    {
      "Value_0":"1.23"
      ...
    }
    "confirmed": true,
    "priority": "NORMAL",
    "correlation_ids": [
      "my-correlation-id",
      "..."
    ]
  }
}

My Azure IoT Central client application displays the generated message message including the decoded_payload field which is used by the built in Cayenned Low Power Protocol(LPP) decoder/encoder and other custom encoders/decoders.

Azure IoT Central commands for TTN/TTI integration

From the “Device Commands” form I can send commands and a queued commands which have float parameters or object parameters which contain one or more float values in a JSON payload.

For commands which call the methodHander which was been registered by calling SetMethodDefaultHandlerAsync the request payload can be JSON or plain text. If the payload is valid JSON it is “grafted”(couldn’t think of a better word) into the decoded_payload field. If the payload is not valid a JSON object with the method name as the “name” and the text payload as the value is added the decoded_payload.

private static async Task<MethodResponse> MethodCallbackDefaultHandler(MethodRequest methodRequest, object userContext)
{
   AzureIoTMethodHandlerContext receiveMessageHandlerConext = (AzureIoTMethodHandlerContext)userContext;

   Console.WriteLine($"Default handler method {methodRequest.Name} was called.");

   Console.WriteLine($"Payload:{methodRequest.DataAsJson}");
   Console.WriteLine();

   if (string.IsNullOrWhiteSpace(methodRequest.Name))
   {
      Console.WriteLine($"   Method Request Name null or white space");
      return new MethodResponse(400);
   }

   string payloadText = Encoding.UTF8.GetString(methodRequest.Data);
   if (string.IsNullOrWhiteSpace(payloadText))
   {
       Console.WriteLine($"   Payload null or white space");
       return new MethodResponse(400);
   }

   // At this point would check to see if Azure DeviceClient is in cache, this is so nasty
   if ( String.Compare( methodRequest.Name, "Analog_Output_1", true) ==0 )
   {
      Console.WriteLine($"   Device not found");
      return new MethodResponse(UTF8Encoding.UTF8.GetBytes("Device not found"), 404);
   }

   JObject payload;

   if (IsValidJSON(payloadText))
   {
      payload = JObject.Parse(payloadText);
   }
   else
   {
      payload = new JObject
      {
         { methodRequest.Name, payloadText }
      };
   }

   string downlinktopic = $"v3/{receiveMessageHandlerConext.ApplicationId}@{receiveMessageHandlerConext.TenantId}/devices/{receiveMessageHandlerConext.DeviceId}/down/push";

   DownlinkPayload downlinkPayload = new DownlinkPayload()
   {
      Downlinks = new List<Downlink>()
      {
         new Downlink()
         {
            Confirmed = false,
            //PayloadRaw = messageBody,
            PayloadDecoded = payload,
            Priority = DownlinkPriority.Normal,
            Port = 10,
            /*
            CorrelationIds = new List<string>()
            {
               methodRequest.LockToken
            }
            */
         }
      }
   };

   Console.WriteLine($"TTN Topic :{downlinktopic}");
   Console.WriteLine($"TTN downlink JSON :{JsonConvert.SerializeObject(downlinkPayload, Formatting.Indented)}");

   return new MethodResponse(200);
}
Configuration of unqueued Commands with a typed payload
The output of my test harness for a Command for a typed payload
Configuring fields of object payload(JSON)

A JSON request payload also supports downlink messages with more that one value.

The output of my test harness for a Command with an object payload(JSON)

For queued commands which call the ReceiveMessageHandler which has was registered by calling SetReceiveMessageHandler the request payload is JSON or plain text.

private async static Task ReceiveMessageHandler(Message message, object userContext)
{
   AzureIoTMessageHandlerContext receiveMessageHandlerConext = (AzureIoTMessageHandlerContext)userContext;

   Console.WriteLine($"ReceiveMessageHandler handler method was called.");

   Console.WriteLine($" Message ID:{message.MessageId}");
   Console.WriteLine($" Message Schema:{message.MessageSchema}");
   Console.WriteLine($" Correlation ID:{message.CorrelationId}");
   Console.WriteLine($" Lock Token:{message.LockToken}");
   Console.WriteLine($" Component name:{message.ComponentName}");
   Console.WriteLine($" To:{message.To}");
   Console.WriteLine($" Module ID:{message.ConnectionModuleId}");
   Console.WriteLine($" Device ID:{message.ConnectionDeviceId}");
   Console.WriteLine($" User ID:{message.UserId}");
   Console.WriteLine($" CreatedAt:{message.CreationTimeUtc}");
   Console.WriteLine($" EnqueuedAt:{message.EnqueuedTimeUtc}");
   Console.WriteLine($" ExpiresAt:{message.ExpiryTimeUtc}");
   Console.WriteLine($" Delivery count:{message.DeliveryCount}");
   Console.WriteLine($" InputName:{message.InputName}");
   Console.WriteLine($" SequenceNumber:{message.SequenceNumber}");

   foreach (var property in message.Properties)
   {
      Console.WriteLine($"   Key:{property.Key} Value:{property.Value}");
   }

   Console.WriteLine($" Content encoding:{message.ContentEncoding}");
   Console.WriteLine($" Content type:{message.ContentType}");
   string payloadText = Encoding.UTF8.GetString(message.GetBytes());
   Console.WriteLine($" Content:{payloadText}");
   Console.WriteLine();

   if (!message.Properties.ContainsKey("method-name"))
   {
      await receiveMessageHandlerConext.AzureIoTHubClient.RejectAsync(message);
      Console.WriteLine($"   Property method-name not found");
      return;
   }

   string methodName = message.Properties["method-name"];
   if (string.IsNullOrWhiteSpace( methodName))
   {
      await receiveMessageHandlerConext.AzureIoTHubClient.RejectAsync(message);
      Console.WriteLine($"   Property null or white space");
      return;
   }

   if (string.IsNullOrWhiteSpace(payloadText))
   {
      await receiveMessageHandlerConext.AzureIoTHubClient.RejectAsync(message);
      Console.WriteLine($"   Payload null or white space");
      return;
   }

   JObject payload;

   if (IsValidJSON(payloadText))
   {
      payload = JObject.Parse(payloadText);
   }
   else
   {
      payload = new JObject
      {
         { methodName, payloadText }
      };
   }

   string downlinktopic = $"v3/{receiveMessageHandlerConext.ApplicationId}@{receiveMessageHandlerConext.TenantId}/devices/{receiveMessageHandlerConext.DeviceId}/down/push";

   DownlinkPayload downlinkPayload = new DownlinkPayload()
   {
      Downlinks = new List<Downlink>()
      {
         new Downlink()
         {
            Confirmed = false,
            //PayloadRaw = messageBody,
            PayloadDecoded = payload,
            Priority = DownlinkPriority.Normal,
            Port = 10,
            CorrelationIds = new List<string>()
            {
               message.LockToken
            }
         }
      }
   };

   Console.WriteLine($"TTN Topic :{downlinktopic}");
   Console.WriteLine($"TTN downlink JSON :{JsonConvert.SerializeObject(downlinkPayload, Formatting.Indented)}");

   //await receiveMessageHandlerConext.AzureIoTHubClient.AbandonAsync(message); // message retries
   //await receiveMessageHandlerConext.AzureIoTHubClient.CompleteAsync(message);
   await receiveMessageHandlerConext.AzureIoTHubClient.CompleteAsync(message.LockToken);
   //await receiveMessageHandlerConext.AzureIoTHubClient.RejectAsync(message); // message gone no retry
}

When I initiated an Analog queued command the message handler was invoked with the name of the command capability (Analog_Output_2) in a message property called “method-name”. For a typed parameter the message content was a string representation of the value. For an object parameter the payload contains a JSON representation of the request field(s)

The output of my test harness for a Queued Command with a typed payload

A JSON request payload supports downlink message with more that one value.

The output of my test harness for a Queued Command with an object payload(JSON)

The choice of Value_0, Value_1 (I think they are float64 type) etc. for the decoded_payload is specified in the Cayenne LPP downlink decode/encoder source code.

The context information for both comments and queued commands provides additional information required to construct the MQTT topic for publishing the downlink messages.

For queued commands the correlation_id will contain the message.LockToken so that messages can be Abandoned, Completed or Rejected. The MQTT broker publishes a series of topics so the progress of the transmission of downlink message can be monitored.

If the device is not known the Abandon method will be called immediately. For command messages Completed will be called as soon as the message is “sent”

  • v3/{application id}@{tenant id}/devices/{device id}/down/queued
  • v3/{application id}@{tenant id}/devices/{device id}/down/sent
  • v3/{application id}@{tenant id}/devices/{device id}/down/ack
  • v3/{application id}@{tenant id}/devices/{device id}/down/nack
  • v3/{application id}@{tenant id}/devices/{device id}/down/failed

For queued messages the point in the delivery process where the Abandoned, Completed and Rejected methods will be called will be configurable.

Azure IoT Central Connectivity Part3

Request Commands

I have built a couple of proof of Concept(PoC) applications to explore the Basic Telemetry and Basic Command functionality of Azure IoT Central. This blog post is about queued and non queued Cloud to Device(C2D) Commands with request parameters.

I initially created an Azure IoT Central Device Template with command and telemetry device capabilities.

“Collapsed” Command Request template
Command Request Template digital commands

I tried typed request and object based parameters to explorer how an integration with The Things Network(TTN)/The Things Industries(TTI) using the Message Queue Telemetry Transport(MQTT) interface could work.

Object parameter schema designer

With object based parameters the request JSON could contain more than one value though the validation of user provided information didn’t appear to be as robust.

Object parameter schema definition

I “migrated” my third preconfigured device to the CommandRequest template to see how the commands with Request parameters interacted with my PoC application.

After “migrating” my device I went back and created a Template view so I could visualise the simulated telemetry from my PoC application and provide a way to initiate commands (Didn’t really need four command tiles as they all open the Device commands form).

CommandRequest device template default view

From the Device Commands form I could send commands and a queued commands which had analog or digital parameters.

Device Three Command Tab

When I initiated an Analog non-queued command the default method handler was invoked with the name of the command capability (Analog_Output_1) as the method name and the payload contained a JSON representation of the request values(s). With a typed parameter a string representation of the value was in the message payload. With a typed parameter a string representation of the value was in the message payload rather than JSON.

Console application displaying Analog request and Analog Request queued commands

When I initiated an Analog queued command the message handler was invoked with the name of the command capability (Analog_Output_2) in a message property called “method-name” and the payload contained a JSON representation of the request value(s). With a typed parameter a string representation of the value was in the message payload rather than JSON.

When I initiated a Digital non-queued command the default method handler was invoked with the name of the command capability (Digital_Output_1) as the method name and the payload contained a JSON representation of the request values(s). With a typed parameter a string representation of the value was in the message payload rather than JSON.

Console application displaying Digital request and Digital Request queued commands

When I initiated a Digital queued command the message handler was invoked with the name of the command capability(Digital_Output_2) in a message property called “method-name” and the payload contained a JSON representation of the request value(s). With a typed parameter a string representation of the value was in the message payload rather than JSON.

The validation of user input wasn’t as robust as I expected, with problems selecting checkboxes with a mouse when there were several Boolean fields. I often had to click on a nearby input field and use the TAB button to navigate to the desired checkbox. I also had problems with ISO 8601 format date validation as the built in Date Picker returned a month, day, year date which was not editable and wouldn’t pass validation.

The next logical step would be to look at commands with a Response parameter but as the MQTT interface is The Things Network(TTN) and The Things Industries(TTI) is asynchronous and devices reporting every 5 minutes to a couple of times a day there could be a significant delay between sending a message and receiving an optional delivery confirmation or response.

Azure IoT Central Connectivity Part2

Basic Commands

I have been struggling with making The Things Network(TTN) and The Things Industries(TTI) uplink/downlink messages work well Azure IoT Central. To explore different messaging approaches I have built a proof of Concept(PoC) application which simulates TTN/TTI connectivity to an Azure IoT Hub, or Azure IoT Central.

This blog post is about queued and non queued Cloud to Device(C2D) commands without request or response parameters. I have mostly used non queued commands in other projects (my Azure IoT Hub LoRa and RF24L01 gateways) to “Restart” devices etc..

The first step was to create an Azure IoT Central Device Template with command and telemetry device capabilities.

CommandBasic device template device with command & telemetry capabilities

I then “migrated” my second preconfigured device to the CommandBasic template.

Migrating a device to TelemetryBasic template

I then went back and created a Template view to visualise the telemetry from my console application and initiate commands.

CommandBasic device template default view

I modified the PoC application adding handlers for Methods (SetMethodDefaultHandlerAsync) and Messages (SetReceiveMessageHandlerAsync).

private static async Task ApplicationCore(CommandLineOptions options)
{
   DeviceClient azureIoTHubClient;
   Timer MessageSender;

   try
   {
      // Open up the connection
      azureIoTHubClient = DeviceClient.CreateFromConnectionString(options.AzureIoTHubconnectionString, TransportType.Amqp_Tcp_Only);

      await azureIoTHubClient.OpenAsync();
      await azureIoTHubClient.SetReceiveMessageHandlerAsync(ReceiveMessageHandler, azureIoTHubClient);
      await azureIoTHubClient.SetMethodHandlerAsync("Named", MethodCallbackNamedHandler, null);
      await azureIoTHubClient.SetMethodDefaultHandlerAsync(MethodCallbackDefaultHandler, null);

      MessageSender = new Timer(TimerCallbackAsync, azureIoTHubClient, new TimeSpan(0, 0, 10), new TimeSpan(0, 2, 0));

      Console.WriteLine("Press any key to exit");
      while (!Console.KeyAvailable)
      {
         await Task.Delay(100);
      }
   }
   catch (Exception ex)
   {
      Console.WriteLine($"Main {ex.Message}");
      Console.WriteLine("Press <enter> to exit");
      Console.ReadLine();
   }
}

The method handler displays the method name and the message payload.

private static async Task<MethodResponse> MethodCallbackDefaultHandler(MethodRequest methodRequest, object userContext)
{
   Console.WriteLine($"Default handler method {methodRequest.Name} was called.");

   Console.WriteLine($"Payload:{methodRequest.DataAsJson}");
   Console.WriteLine();

   //return new MethodResponse(400);
   //return new MethodResponse(404);
   return new MethodResponse(200);
}

The message handler displays a selection the message properties, any attributes and the message payload.

 private async static Task ReceiveMessageHandler(Message message, object userContext)
{
   DeviceClient azureIoTHubClient = (DeviceClient)userContext;

   Console.WriteLine($"ReceiveMessageHandler handler method was called.");

   Console.WriteLine($" Message ID:{message.MessageId}");
   Console.WriteLine($" Message Schema:{message.MessageSchema}");
   Console.WriteLine($" Correlation ID:{message.CorrelationId}");
   Console.WriteLine($" Component name:{message.ComponentName}");
   Console.WriteLine($" To:{message.To}");
   Console.WriteLine($" Module ID:{message.ConnectionModuleId}");
   Console.WriteLine($" Device ID:{message.ConnectionDeviceId}");
   Console.WriteLine($" CreatedAt:{message.CreationTimeUtc}");
   Console.WriteLine($" EnqueuedAt:{message.EnqueuedTimeUtc}");
   Console.WriteLine($" ExpiresAt:{message.ExpiryTimeUtc}");
   Console.WriteLine($" Delivery count:{message.DeliveryCount}");
   Console.WriteLine($" InputName:{message.InputName}");
   Console.WriteLine($" SequenceNumber:{message.SequenceNumber}");

   foreach (var property in message.Properties)
   {
     Console.WriteLine($"   Key:{property.Key} Value:{property.Value}");
   }

   Console.WriteLine($" Content encoding:{message.ContentEncoding}");
   Console.WriteLine($" Content type:{message.ContentType}");
   Console.WriteLine($" Content:{Encoding.UTF8.GetString(message.GetBytes())}");
   Console.WriteLine();

   //await azureIoTHubClient.AbandonAsync(message); // message retries
   await azureIoTHubClient.CompleteAsync(message);
   //await azureIoTHubClient.RejectAsync(message); // message gone no retry
}

From the Device Commands tab I can could non queued and a queued commands

Device Two Commands tab

When I sent a non-queued command the default method handler was invoked with the name of the command capability (Digital_Output_0) as the method name and an empty payload. In the Azure IoT Central interface I couldn’t see any difference for successful (HTTP 200 OK) or failure (HTTP 400 Bad Request or HTTP 404 Not Found) responses. If the application was not running the command failed immediately.

Console application displaying non-queued call

With Azure IoT Explorer failure responses were visible.

Azure IoT Explorer show message with 404 response

When I sent a queued command the message handler was invoked with the name of the command capability(Digital_Output_1) in a message property called “method-name” and the payload contained only an “@” character.

Console application displaying queued call

If the application was not running the command was queued until the Console application was started. When the console application was running and AbandonAsync was called rather than CompleteAsync the message was retried 10 times. If RejectAsync was called rather than CompleteAsync the message was deleted from the queue and not retried. There didn’t appear to be any difference for the displayed Azure IoT Central or Azure IoT Hub explorer results when AbandonAsync or RejectAsync were called.

I also created a personal dashboard to visualise the telemetry data and initiate commands. The way the two commands were presented on the dashboard was quite limited so I will go back to the documentation and see what I missed

Azure IoT Central Connectivity Part1

Basic Telemetry

I have been struggling with making The Things Network(TTN) and The Things Industries(TTI) uplink/downlink messages Azure IoT Central compatible. To explore the messaging approaches used I have built a proof of Concept(PoC) application which simulates TTN/TTI connectivity to an Azure IoT Hub, or Azure IoT Central.

My “nasty” console application uses the Azure DeviceClient library (Advanced Message Queuing Protocol(AMQP) connectivity) to explore how to interface with Azure IoT Central. This first blog post is about to Device Cloud(D2C) telemetry

The first step was to create an Azure IoT Central Device Template with a selection of telemetry capabilities.

TelemetryBasic device template device capabilities

I then created a Plain old Common Language Runtime(CLR) object(PoCo) with Newtonsoft JSON library attributes to fine tune the serialisation/deserialation.

public class GPSPosition
{    
   [JsonProperty("lat")]
   public float Latitude { get; set; }
   [JsonProperty("lon")]
   public float Longitude { get; set; }
   [JsonProperty("alt")]
   public float Altitude { get; set; }
}

public class DigitialTelemetryPayload
{
   [JsonProperty("Digital_Input_0")]
   public bool DigitalInput { get; set; }

   [JsonProperty("Analog_Input_0")]
   public float AnalogInput { get; set; }

   [JsonProperty("GPS_0")]
   public GPSPosition GPSPosition { get; set; }
 }

I created five devices and generated their connection strings using the DPS individual enrollment functionality of one my other sample applications.

I then “migrated” the first device to my BasicTelemetry template

Migrating a device to TelemetryBasic template

I then went back and created a Template view to visualise the telemetry from my console application.

TelemetryBasic device template default view

Then I configured a preview device so the template view was populated with “realistic” data.

TelemetryBasic device template default view configuring a device as data source

The console application simulates a digital input (random true/false), analog input (random value between 0.0 and 1.0) and a Global Positioning System(GPS) location (Christchurch Anglican Cathedral with a random latitude, longitude and altitude offset) .

Basic Telemetry Console Application

The final step was to create an Azure IoT Central Personal dashboard to visualise the data from my simulated device.

Basic Telemetry Dashboard

Connecting a Device, creating a Device Template, Migrating the Device, and then displaying telemetry on a personal dashboard was a good introduction to interfacing with and configuring Azure IoT Central devices.

In other applications I have mapped “payload_fields” to an Azure IoT Central telemetry payload with minimal code.

{
   "app_id": "rak811wisnodetest",
   "dev_id": "seeeduinolorawan4",
   "hardware_serial": "1234567890123456",
   "port": 10,
   "counter": 1,
   "is_retry": true,
   "payload_raw": "AWcBEAFlAGQBAAEBAgAyAYgAqYgGIxgBJuw=",
   "payload_fields": {
      "analog_in_1": 0.5,
      "digital_in_1": 1,
      "gps_1": {
         "altitude": 755,
         "latitude": 4.34,
         "longitude": 40.22
      },
      "luminosity_1": 100,
      "temperature_1": 27.2
   },
   "metadata": {
      "time": "2020-08-28T10:41:04.496594225Z",
      "frequency": 923.4,
      "modulation": "LORA",
      "data_rate": "SF12BW125",
      "coding_rate": "4/5",
      "gateways": [
         {
            "gtw_id": "eui-b827ebfffe6c279d",
            "timestamp": 3971612260,
            "time": "2020-08-28T10:41:03.313471Z",
            "channel": 1,
            "rssi": -53,
            "snr": 11.2,
            "rf_chain": 0,
            "latitude": -43.49885,
            "longitude": 172.60095,
            "altitude": 25
         }
      ]
   },
   "downlink_url": "https://integrations.thethingsnetwork.org/ttn-eu/api/v2/down/rak811wisnodetest/azure-webapi-endpoint?key=ttn-account-v2.12345678901234567_12345_1234567-dduo"
}

This was a longish post with lots of screen shots so I don’t have to repeat core setup instructions in future posts.

The Things Network MQTT & Azure IoT Part3A

Cloud to Device with frm_payload no confirmation

An Azure IoT Hub supports three kinds for Cloud to Device(C2D) messaging and my gateway will initially support only Direct Methods and Cloud-to-device messages.

The first step was to add the The Things Network(TTN) V3 Tennant ID to the context information as it is required for the downlink Message Queue Telemetry Transport (MQTT) publish topic.

namespace devMobile.TheThingsNetwork.Models
{
   public class AzureIoTHubReceiveMessageHandlerContext
   {
      public string TenantId { get; set; }
      public string DeviceId { get; set; }
      public string ApplicationId { get; set; }
   }
}

The object is passed as the context parameter of the SetReceiveMessageHandlerAsync method.

try
{
	DeviceClient deviceClient = DeviceClient.CreateFromConnectionString(
		options.AzureIoTHubconnectionString,
		endDevice.Ids.Device_id,
		TransportType.Amqp_Tcp_Only);

	await deviceClient.OpenAsync();

	AzureIoTHubReceiveMessageHandlerContext context = new AzureIoTHubReceiveMessageHandlerContext()
	{
		TenantId = options.Tenant,
		DeviceId = endDevice.Ids.Device_id,
		ApplicationId = options.ApiApplicationID,
	};

	await deviceClient.SetReceiveMessageHandlerAsync(AzureIoTHubClientReceiveMessageHandler, context);
	
	DeviceClients.Add(endDevice.Ids.Device_id, deviceClient, cacheItemPolicy);
}
catch( Exception ex)
{
	Console.WriteLine($"Azure IoT Hub OpenAsync failed {ex.Message}");
}

To send a message to a LoRaWAN device in addition to the payload, TTN needs the port number and optionally a confirmation required flag, message priority, queueing type and correlation ids.

With my implementation the confirmation required flag, message priority, and queueing type are Azure IoT Hub message properties and the messageid is used as a correlation id.

private async static Task AzureIoTHubClientReceiveMessageHandler(Message message, object userContext)
{
	bool confirmed;
	byte port;
	DownlinkPriority priority;
	string downlinktopic;

	try
	{
		AzureIoTHubReceiveMessageHandlerContext receiveMessageHandlerConext = (AzureIoTHubReceiveMessageHandlerContext)userContext;

		DeviceClient deviceClient = (DeviceClient)DeviceClients.Get(receiveMessageHandlerConext.DeviceId);
		if (deviceClient == null)
		{
			Console.WriteLine($" UplinkMessageReceived unknown DeviceID: {receiveMessageHandlerConext.DeviceId}");
			await deviceClient.RejectAsync(message);
			return;
		}

		using (message)
		{
			Console.WriteLine();
			Console.WriteLine();
			Console.WriteLine($"{DateTime.UtcNow:HH:mm:ss} Azure IoT Hub downlink message");
			Console.WriteLine($" ApplicationID: {receiveMessageHandlerConext.ApplicationId}");
			Console.WriteLine($" DeviceID: {receiveMessageHandlerConext.DeviceId}");
#if DIAGNOSTICS_AZURE_IOT_HUB
			Console.WriteLine($" Cached: {DeviceClients.Contains(receiveMessageHandlerConext.DeviceId)}");
			Console.WriteLine($" MessageID: {message.MessageId}");
			Console.WriteLine($" DeliveryCount: {message.DeliveryCount}");
			Console.WriteLine($" EnqueuedTimeUtc: {message.EnqueuedTimeUtc}");
			Console.WriteLine($" SequenceNumber: {message.SequenceNumber}");
			Console.WriteLine($" To: {message.To}");
#endif
			string messageBody = Encoding.UTF8.GetString(message.GetBytes());
			Console.WriteLine($" Body: {messageBody}");
#if DOWNLINK_MESSAGE_PROPERTIES_DISPLAY
			foreach (var property in message.Properties)
			{
				Console.WriteLine($"   Key:{property.Key} Value:{property.Value}");
			}
#endif
			if (!message.Properties.ContainsKey("Confirmed"))
			{
				Console.WriteLine(" UplinkMessageReceived missing confirmed property");
				await deviceClient.RejectAsync(message);
				return;
			}

			if (!bool.TryParse(message.Properties["Confirmed"], out confirmed))
			{
				Console.WriteLine(" UplinkMessageReceived confirmed property invalid");
				await deviceClient.RejectAsync(message);
				return;
			}

			if (!message.Properties.ContainsKey("Priority"))
			{
				Console.WriteLine(" UplinkMessageReceived missing priority property");
				await deviceClient.RejectAsync(message);
				return;
			}

			if (!Enum.TryParse(message.Properties["Priority"], true, out priority))
			{
				Console.WriteLine(" UplinkMessageReceived priority property invalid");
				await deviceClient.RejectAsync(message);
				return;
			}

			if (priority == DownlinkPriority.Undefined)
			{
				Console.WriteLine(" UplinkMessageReceived priority property undefined value invalid");
				await deviceClient.RejectAsync(message);
				return;
			}

			if (!message.Properties.ContainsKey("Port"))
			{
				Console.WriteLine(" UplinkMessageReceived missing port number property");
				await deviceClient.RejectAsync(message);
				return;
			}

			if (!byte.TryParse( message.Properties["Port"], out port))
			{
				Console.WriteLine(" UplinkMessageReceived port number property invalid");
				await deviceClient.RejectAsync(message);
				return;
			}

			if ((port < Constants.PortNumberMinimum) || port > (Constants.PortNumberMaximum))
			{
				Console.WriteLine($" UplinkMessageReceived port number property invalid value must be between {Constants.PortNumberMinimum} and {Constants.PortNumberMaximum}");
				await deviceClient.RejectAsync(message);
				return;
			}

			if (!message.Properties.ContainsKey("Queue"))
			{
				Console.WriteLine(" UplinkMessageReceived missing queue property");
				await deviceClient.RejectAsync(message);
				return;
			}

			switch(message.Properties["Queue"].ToLower())
			{
				case "push":
					downlinktopic = $"v3/{receiveMessageHandlerConext.ApplicationId}@{receiveMessageHandlerConext.TenantId}/devices/{receiveMessageHandlerConext.DeviceId}/down/push";
					break;
				case "replace":
					downlinktopic = $"v3/{receiveMessageHandlerConext.ApplicationId}@{receiveMessageHandlerConext.TenantId}/devices/{receiveMessageHandlerConext.DeviceId}/down/replace";
					break;
				default:
					Console.WriteLine(" UplinkMessageReceived missing queue property invalid value");
					await deviceClient.RejectAsync(message);
					return;
               }

			DownlinkPayload Payload = new DownlinkPayload()
			{
				Downlinks = new List<Downlink>()
				{ 
					new Downlink()
					{
						Confirmed = confirmed,
						PayloadRaw = messageBody,
						Priority = priority,
						Port = port,
						CorrelationIds = new List<string>()
						{
							message.MessageId
						}
					}
				}
			};

			var mqttMessage = new MqttApplicationMessageBuilder()
					.WithTopic(downlinktopic)
					.WithPayload(JsonConvert.SerializeObject(Payload))
					.WithAtLeastOnceQoS()
					.Build();

			await mqttClient.PublishAsync(mqttMessage);

			// Need to look at confirmation requirement ack, nack maybe failed & sent
			await deviceClient.CompleteAsync(message);

			Console.WriteLine();
		}
	}
	catch (Exception ex)
	{
		Debug.WriteLine("UplinkMessageReceived failed: {0}", ex.Message);
	}
}

To “smoke test”” my implementation I used Azure IoT Explorer to send a C2D telemetry message

Azure IoT Hub Explorer send message form with payload and message properties

The PoC console application then forwarded the message to TTN using MQTT to be sent(which fails)

PoC application sending message then displaying result

The TTN live data display shows the message couldn’t be delivered because my test LoRaWAN device has not been activiated.

TTN Live Data display with message delivery failure

Now that my PoC application can receive and transmit message to devices I need to reconfigure my RAK Wisgate Developer D+ gateway and Seeeduino LoRaWAN and RAK Wisnode 7200 Track Lite devices on The Things Industries Network so I can test my approach with more realistic setup.

The Things Network MQTT & Azure IoT Part2

Uplink with decoded_payload & frm_payload

The next functionality added to my Proof of Concept(PoC) Azure IoT Hub, The Things Network(TTN) V3 Hypertext Transfer Protocol(HTTP) client API Integration, and Message Queue Telemetry Transport (MQTT) Data API Integration is sending of raw and decoded uplink messages to an Azure IoT Hub.

// At this point all the AzureIoT Hub deviceClients setup and ready to go so can enable MQTT receive
mqttClient.UseApplicationMessageReceivedHandler(new MqttApplicationMessageReceivedHandlerDelegate(e => MqttClientApplicationMessageReceived(e)));

// This may shift to individual device subscriptions
string uplinkTopic = $"v3/{options.MqttApplicationID}/devices/+/up";
await mqttClient.SubscribeAsync(uplinkTopic, MQTTnet.Protocol.MqttQualityOfServiceLevel.AtLeastOnce);

//string queuedTopic = $"v3/{options.MqttApplicationID}/devices/+/queued";
//await mqttClient.SubscribeAsync(queuedTopic, MQTTnet.Protocol.MqttQualityOfServiceLevel.AtLeastOnce);

The additional commented out subscriptions are for the processing of downlink messages

The MQTTNet received message handler uses the last segment of the topic to route messages to a method for processing

private static async void MqttClientApplicationMessageReceived(MqttApplicationMessageReceivedEventArgs e)
{
	if (e.ApplicationMessage.Topic.EndsWith("/up", StringComparison.InvariantCultureIgnoreCase))
	{
		await UplinkMessageReceived(e);
	}

	/*
	if (e.ApplicationMessage.Topic.EndsWith("/queued", StringComparison.InvariantCultureIgnoreCase))
	{
		await DownlinkMessageQueued(e);
	}
	...			
	*/
}

The UplinkMessageReceived method deserialises the message payload, retrieves device context information from the local ObjectCache, adds relevant uplink messages fields (including the raw payload), then if the message has been unpacked by a TTN Decoder, the message fields are added as well.

static async Task UplinkMessageReceived(MqttApplicationMessageReceivedEventArgs e)
{
	try
	{
		PayloadUplinkV3 payload = JsonConvert.DeserializeObject<PayloadUplinkV3>(e.ApplicationMessage.ConvertPayloadToString());
		string applicationId = payload.EndDeviceIds.ApplicationIds.ApplicationId;
		string deviceId = payload.EndDeviceIds.DeviceId;
		int port = payload.UplinkMessage.Port;
...
		DeviceClient deviceClient = (DeviceClient)DeviceClients.Get(deviceId);
		if (deviceClient == null)
		{
			Console.WriteLine($" UplinkMessageReceived unknown DeviceID: {deviceId}");
			return;
		}

		JObject telemetryEvent = new JObject();
		telemetryEvent.Add("DeviceID", deviceId);
		telemetryEvent.Add("ApplicationID", applicationId);
		telemetryEvent.Add("Port", port);
		telemetryEvent.Add("PayloadRaw", payload.UplinkMessage.PayloadRaw);

		// If the payload has been unpacked in TTN backend add fields to telemetry event payload
		if (payload.UplinkMessage.PayloadDecoded != null)
		{
			EnumerateChildren(telemetryEvent, payload.UplinkMessage.PayloadDecoded);
		}

		// Send the message to Azure IoT Hub/Azure IoT Central
		using (Message ioTHubmessage = new Message(Encoding.ASCII.GetBytes(JsonConvert.SerializeObject(telemetryEvent))))
		{
			// Ensure the displayed time is the acquired time rather than the uploaded time. 
			//ioTHubmessage.Properties.Add("iothub-creation-time-utc", payloadObject.Metadata.ReceivedAtUtc.ToString("s", CultureInfo.InvariantCulture));
			ioTHubmessage.Properties.Add("ApplicationId", applicationId);
			ioTHubmessage.Properties.Add("DeviceId", deviceId);
			ioTHubmessage.Properties.Add("port", port.ToString());

			await deviceClient.SendEventAsync(ioTHubmessage);
		}
	}
	catch( Exception ex)
	{
		Debug.WriteLine("UplinkMessageReceived failed: {0}", ex.Message);
	}
}

private static void EnumerateChildren(JObject jobject, JToken token)
{
	if (token is JProperty property)
	{
		if (token.First is JValue)
		{
			// Temporary dirty hack for Azure IoT Central compatibility
			if (token.Parent is JObject possibleGpsProperty)
			{
				if (possibleGpsProperty.Path.StartsWith("GPS_", StringComparison.OrdinalIgnoreCase))
				{
					if (string.Compare(property.Name, "Latitude", true) == 0)
					{
						jobject.Add("lat", property.Value);
					}
					if (string.Compare(property.Name, "Longitude", true) == 0)
					{
						jobject.Add("lon", property.Value);
					}
					if (string.Compare(property.Name, "Altitude", true) == 0)
					{
						jobject.Add("alt", property.Value);
					}
				}
			}
			jobject.Add(property.Name, property.Value);
		}
		else
		{
			JObject parentObject = new JObject();
			foreach (JToken token2 in token.Children())
			{
				EnumerateChildren(parentObject, token2);
				jobject.Add(property.Name, parentObject);
			}
		}
	}
	else
	{
		foreach (JToken token2 in token.Children())
		{
			EnumerateChildren(jobject, token2);
		}
	}
}

There is also some basic reformatting of the messages for Azure IoT Central

TTN Simulate uplink message with GPS location payload.
Nasty console application processing uplink message
Message from LoRaWAN device displayed in Azure IoT Explorer

Currently the code has a lots of diagnostic Console.Writeline statements, doesn’t support Uplink messages, has no Advanced Message Queuing Protocol(AMQP) client connection pooling, can’t run as an Azure Webjob, and a number of other features which I plan on adding in future blog posts.

The Things Network HTTP Azure IoT Integration Soak Testing

I wanted to do some testing to make sure the application would reliably process messages from 1000’s of devices…

The first thing I learnt was “don’t forget to restart your Azure Function after deleting all the devices from the Azure IoT Hub” as the DeviceClients are cached. Also make sure you delete the devices from both your Azure Device Provisioning service(DPS) and Azure IoT Hub instances.

Applications Insights provisioning event tracking

The next “learning” was that if you forget to enable “always on” the caching won’t work and your application will call the DPS way more often than expected.

Azure Application “always on configuration

The next “learning” was if your soak test sends 24000 messages it will start to fail just after you go out to get a coffee because of the 8000 msgs/day limit on the free version of IoT Hub.

Azure IoT Hub Free tier 8000 messages/day limit

After these “learnings” the application appeared to be working and every so often a message would briefly appear in Azure Storage Explorer queue view.

Azure storage explorer view of uplink messages queue

The console test application simulated 1000 devices sending 24 messages every so often and took roughly 8 hours to complete.

Message generator finished

In the Azure IoT Hub telemetry 24000 messages had been received after roughly 8 hours confirming the test rig was working as expected.

The notch was another “learning”, if you go and do some gardening then after roughly 40 minutes of inactivity your desktop PC will go into power save mode and the test client will stop sending messages.

The caching of settings appeared to be work as there were only a couple of requests to my Azure Key Vault where sensitive information like connection strings, symmetric keys etc. are stored.

Memory consumption did look to bad and topped out at roughly 120M.

In the application logging you can see the 1000 calls to DPS at the beginning (the yellow dependency events) then the regular processing of messages.

Application Insights logging

Even with the “learnings” the testing went pretty well overall. I do need to run the test rig for longer and with even more simulated devices.

I think this should do

48K Telemetry messages

If you get lots of errors in the logs “Host thresholds exceeded: [Connections]…. might need to bump your plan to something a bit larger

The Things Network HTTP Azure IoT Central Integration

This post is an overview of the Azure IoT Central configuration required to process The Things Network(TTN) HTTP integration uplink messages. I have assumed that the reader is already reasonably familiar with these products. There is an overview of configuring TTN HTTP integration in my “Simplicating and securing the HTTP handler” post.

The first step is to copy the IDScope from the Device connection blade.

Device connection blade

Then copy one of the primary or secondary keys

For more complex deployment the ApplicationEnrollmentGroupMapping configuration enables The Things Network(TTN) devices to be provisioned using different GroupEnrollment keys based on the applicationid in the Uplink message which initiates their provisoning.

"DeviceProvisioningService": {
      "GlobalDeviceEndpoint": "global.azure-devices-provisioning.net",
      "IDScope": "",
      "EnrollmentGroupSymmetricKeyDefault": "TopSecretKey",
      "DeviceProvisioningPollingDelay": 500,
      "ApplicationEnrollmentGroupMapping": {
         "Application1": "TopSecretKey1",
         "Application2": "TopSecretKey2"
      }
   }

Shortly after the first uplink message from a TTN device is processed, it will listed in the “Unassociated devices” blade with the DevEUI as the Device ID.

Unassociated devices blade

The device can then be associated with an Azure IoT Central Device Template.

Unassociated devices blade showing recently associated device

The device template provides for the mapping of uplink message payload_fields to measurements. In this example the payload field has been generated by the TTN HTTP integration Cayenne Low Power Protocol(LPP) decoder. Many LoRaWAN devices use LPP to minimise the size of the network payload.

Azure IoT Central Device template blade

Once the device has been associated with a template a user friendly device name etc. can be configured.

Azure IoT Central Device properties blade

In the telemetry event payload sent to Azure IoT Central there are some extra fields to help with debugging and tracing.

// Assemble the JSON payload to send to Azure IoT Hub/Central.
log.LogInformation($"{messagePrefix} Payload assembly start");
JObject telemetryEvent = new JObject();
try
{
   JObject payloadFields = (JObject)payloadObect.payload_fields;
   telemetryEvent.Add("HardwareSerial", payloadObect.hardware_serial);
   telemetryEvent.Add("Retry", payloadObect.is_retry);
   telemetryEvent.Add("Counter", payloadObect.counter);
   telemetryEvent.Add("DeviceID", payloadObect.dev_id);
   telemetryEvent.Add("ApplicationID", payloadObect.app_id);
   telemetryEvent.Add("Port", payloadObect.port);
   telemetryEvent.Add("PayloadRaw", payloadObect.payload_raw);
   telemetryEvent.Add("ReceivedAtUTC", payloadObect.metadata.time);

   // If the payload has been unpacked in TTN backend add fields to telemetry event payload
   if (payloadFields != null)
   {
      foreach (JProperty child in payloadFields.Children())
      {
         EnumerateChildren(telemetryEvent, child);
      }
   }
}
catch (Exception ex)
{
   log.LogError(ex, $"{messagePrefix} Payload processing or Telemetry event assembly failed");
   throw;
}

Azure IoT Central has mapping functionality which can be used to display the location of a device.

Azure Device

The format of the location payload generated by the TTN LPP decoder is different to the one required by Azure IoT Central. I have added temporary code (“a cost effective modification to expedite deployment” aka. a hack) to format the TelemetryEvent payload so it can be processed.

if (token.First is JValue)
{
   // Temporary dirty hack for Azure IoT Central compatibility
   if (token.Parent is JObject possibleGpsProperty)
   {
      if (possibleGpsProperty.Path.StartsWith("GPS", StringComparison.OrdinalIgnoreCase))
      {
         if (string.Compare(property.Name, "Latitude", true) == 0)
         {
            jobject.Add("lat", property.Value);
         }
         if (string.Compare(property.Name, "Longitude", true) == 0)
         {
            jobject.Add("lon", property.Value);
         }
         if (string.Compare(property.Name, "Altitude", true) == 0)
         {
            jobject.Add("alt", property.Value);
         }
      }
   }
   jobject.Add(property.Name, property.Value);
}

I need review the IoT Plug and Play specification documentation to see what other payload transformations maybe required.

I did observe that if a device had not reported its position the default location was zero degrees latitude and zero degrees longitude which is about 610 KM south of Ghana and 1080 KM west of Gabon in the Atlantic Ocean.

Azure IoT Central mapping default position

After configuring a device template, associating my devices with the template, and modifying each device’s properties I could create a dashboard to view the temperature and humidity information returned by my Seeeduino LoRaWAN devices.

Azure IoT Central dashboard

The Things Network HTTP Integration Part6

Provisioning Devices on demand.

For development and testing being able to provision an individual device is really useful, though for Azure IoT Central it is not easy (especially with the deprecation of DPS-KeyGen). With an Azure IoT Hub device connection strings are available in the portal which is convenient but not terribly scalable.

Azure IoT Hub is integrated with, and Azure IoT Central forces the use of the Device Provisioning Service(DPS) which is designed to support the management of 1000’s of devices.

My HTTP Integration for The Things Network(TTN) is intended to support many devices and integrate with Azure IoT Central so I built yet another “nasty” console application to explore how the DPS works. The DPS also supports device attestation with a Trusted Platform Module(TPM) but this approach was not suitable for my application.

My command-line application supports individual and group enrollments with Symmetric Key Attestation and it can also generate group enrollment device keys.

class Program
{
   private const string GlobalDeviceEndpoint = "global.azure-devices-provisioning.net";

   static async Task Main(string[] args)
   {
      string registrationId;
...   
      registrationId = args[1];

      switch (args[0])
      {
         case "e":
         case "E":
            string scopeId = args[2];
            string symmetricKey = args[3];

            Console.WriteLine($"Enrolllment RegistrationID:{ registrationId} ScopeID:{scopeId}");
            await Enrollement(registrationId, scopeId, symmetricKey);
            break;
         case "k":
         case "K":
            string primaryKey = args[2];
            string secondaryKey = args[3];

            Console.WriteLine($"Enrollment Keys RegistrationID:{ registrationId}");
            GroupEnrollementKeys(registrationId, primaryKey, secondaryKey);
            break;
         default:
            Console.WriteLine("Unknown option");
            break;
      }
      Console.WriteLine("Press <enter> to exit");
      Console.ReadLine();
   }

   static async Task Enrollement(string registrationId, string scopeId, string symetricKey)
   {
      try
      {
         using (var securityProvider = new SecurityProviderSymmetricKey(registrationId, symetricKey, null))
         {
            using (var transport = new ProvisioningTransportHandlerAmqp(TransportFallbackType.TcpOnly))
            {
               ProvisioningDeviceClient provClient = ProvisioningDeviceClient.Create(GlobalDeviceEndpoint, scopeId, securityProvider, transport);

               DeviceRegistrationResult result = await provClient.RegisterAsync();

               Console.WriteLine($"Hub:{result.AssignedHub} DeviceID:{result.DeviceId} RegistrationID:{result.RegistrationId} Status:{result.Status}");
               if (result.Status != ProvisioningRegistrationStatusType.Assigned)
               {
                  Console.WriteLine($"DeviceID{ result.Status} already assigned");
               }

               IAuthenticationMethod authentication = new DeviceAuthenticationWithRegistrySymmetricKey(result.DeviceId, (securityProvider as SecurityProviderSymmetricKey).GetPrimaryKey());

               using (DeviceClient iotClient = DeviceClient.Create(result.AssignedHub, authentication, TransportType.Amqp))
               {
                  Console.WriteLine("DeviceClient OpenAsync.");
                  await iotClient.OpenAsync().ConfigureAwait(false);
                  Console.WriteLine("DeviceClient SendEventAsync.");
                  await iotClient.SendEventAsync(new Message(Encoding.UTF8.GetBytes("TestMessage"))).ConfigureAwait(false);
                  Console.WriteLine("DeviceClient CloseAsync.");
                  await iotClient.CloseAsync().ConfigureAwait(false);
               }
            }
         }
      }
      catch (Exception ex)
      {
         Console.WriteLine(ex.Message);
      }
   }

   static void GroupEnrollementKeys(string registrationId, string primaryKey, string secondaryKey)
   {
      string primaryDeviceKey = ComputeDerivedSymmetricKey(Convert.FromBase64String(primaryKey), registrationId);
      string secondaryDeviceKey = ComputeDerivedSymmetricKey(Convert.FromBase64String(secondaryKey), registrationId);

      Console.WriteLine($"RegistrationID:{registrationId}");
      Console.WriteLine($" PrimaryDeviceKey:{primaryDeviceKey}");
      Console.WriteLine($" SecondaryDeviceKey:{secondaryDeviceKey}");
   }

   public static string ComputeDerivedSymmetricKey(byte[] masterKey, string registrationId)
   {
      using (var hmac = new HMACSHA256(masterKey))
      {
         return Convert.ToBase64String(hmac.ComputeHash(Encoding.UTF8.GetBytes(registrationId)));
      }
   }
}

I have five seeeduino LoRaWAN and a single Seeeduino LoRaWAN W/GPS device leftover from another project so I created a SeeeduinoLoRaWAN enrollment group.

DPS Enrollment Group configuration

Initially the enrollment group had no registration records so I ran my command-line application to generate group enrollment keys for one of my devices.

Device registration before running my command line application

Then I ran the command-line application with my scopeID, registrationID (LoRaWAN deviceEUI) and the device group enrollment key I had generated in the previous step.

Registering a device and sending a message to the my Azure IoT Hub

After running the command line application the device was visible in the enrollment group registration records.

Device registration after running my command line application

Provisioning a device with an individual enrollment has a different workflow. I had to run my command-line application with the RegistrationID, ScopeID, and one of the symmetric keys from the DPS individual enrollment device configuration.

DPS Individual enrollment configuration

A major downside to an individual enrollment is either the primary or the secondary symmetric key for the device has to be deployed on the device which could be problematic if the device has no secure storage.

With a group enrollment only the registration ID and the derived symmetric key have to be deployed on the device which is more secure.

Registering a device and sending a message to the my Azure IoT Hub

In Azure IoT Explorer I could see messages from both my group and individually enrolled devices arriving at my Azure IoT hub

After some initial issues I found DPS was quite reliable and surprisingly easy to configure. I did find the DPS ProvisioningDeviceClient.RegisterAsync method sometimes took several seconds to execute which may have some ramifications when my application is doing this on demand.

Wilderness Labs nRF24L01 Wireless field gateway Meadow client

After a longish pause in development work on my nrf24L01 AdaFruit.IO and Azure IOT Hub field gateways I figured a client based on my port of the techfooninja nRF24 library to Wilderness Labs Meadow would be a good test.

This sample client is an Wilderness Labs Meadow with a Sensiron SHT31 Temperature & humidity sensor (supported by meadow foundation), and a generic nRF24L01 device connected with jumper cables.

Bill of materials (prices as at March 2020)

  • Wilderness Labs Meadow 7F Micro device USD50
  • Seeedstudio Temperature and Humidity Sensor(SHT31) USD11.90
  • Seeedstudio 4 pin Male Jumper to Grove 4 pin Conversion Cable USD2.90
  • 2.4G Wireless Module nRF24L01+PA USD9.90

The initial version of the code was pretty basic with limited error handling and no power conservation support.

namespace devMobile.IoT.FieldGateway.Client
{
   using System;
   using System.Text;
   using System.Threading;

   using Radios.RF24;

   using Meadow;
   using Meadow.Devices;
   using Meadow.Foundation.Leds;
   using Meadow.Foundation.Sensors.Atmospheric;
   using Meadow.Hardware;
   using Meadow.Peripherals.Leds;

   public class MeadowClient : App<F7Micro, MeadowClient>
   {
      private const string BaseStationAddress = "Base1";
      private const string DeviceAddress = "WLAB1";
      private const byte nRF24Channel = 15;
      private RF24 Radio = new RF24();
      private readonly TimeSpan periodTime = new TimeSpan(0, 0, 60);
      private readonly Sht31D sensor;
      private readonly ILed Led;

      public MeadowClient()
      {
         Led = new Led(Device, Device.Pins.OnboardLedGreen);

         try
         {
            sensor = new Sht31D(Device.CreateI2cBus());

            var config = new Meadow.Hardware.SpiClockConfiguration(
                           2000,
                           SpiClockConfiguration.Mode.Mode0);

            ISpiBus spiBus = Device.CreateSpiBus(
               Device.Pins.SCK,
               Device.Pins.MOSI,
               Device.Pins.MISO, config);

            Radio.OnDataReceived += Radio_OnDataReceived;
            Radio.OnTransmitFailed += Radio_OnTransmitFailed;
            Radio.OnTransmitSuccess += Radio_OnTransmitSuccess;

            Radio.Initialize(Device, spiBus, Device.Pins.D09, Device.Pins.D10, Device.Pins.D11);
            //Radio.Address = Encoding.UTF8.GetBytes(Environment.MachineName);
            Radio.Address = Encoding.UTF8.GetBytes(DeviceAddress);

            Radio.Channel = nRF24Channel;
            Radio.PowerLevel = PowerLevel.Low;
            Radio.DataRate = DataRate.DR250Kbps;
            Radio.IsEnabled = true;

            Radio.IsAutoAcknowledge = true;
            Radio.IsDyanmicAcknowledge = false;
            Radio.IsDynamicPayload = true;

            Console.WriteLine($"Address: {Encoding.UTF8.GetString(Radio.Address)}");
            Console.WriteLine($"PowerLevel: {Radio.PowerLevel}");
            Console.WriteLine($"IsAutoAcknowledge: {Radio.IsAutoAcknowledge}");
            Console.WriteLine($"Channel: {Radio.Channel}");
            Console.WriteLine($"DataRate: {Radio.DataRate}");
            Console.WriteLine($"IsDynamicAcknowledge: {Radio.IsDyanmicAcknowledge}");
            Console.WriteLine($"IsDynamicPayload: {Radio.IsDynamicPayload}");
            Console.WriteLine($"IsEnabled: {Radio.IsEnabled}");
            Console.WriteLine($"Frequency: {Radio.Frequency}");
            Console.WriteLine($"IsInitialized: {Radio.IsInitialized}");
            Console.WriteLine($"IsPowered: {Radio.IsPowered}");
         }
         catch (Exception ex)
         {
            Console.WriteLine(ex.Message);
         }

         while (true)
         {
            sensor.Update();

            Console.WriteLine($"{DateTime.UtcNow:HH:mm:ss}-TX T:{sensor.Temperature:0.0}C H:{sensor.Humidity:0}%");

            Led.IsOn = true;

            string values = "T " + sensor.Temperature.ToString("F1") + ",H " + sensor.Humidity.ToString("F0");

            // Stuff the 2 byte header ( payload type & deviceIdentifierLength ) + deviceIdentifier into payload
            byte[] payload = new byte[1 + Radio.Address.Length + values.Length];
            payload[0] = (byte)((1 << 4) | Radio.Address.Length);
            Array.Copy(Radio.Address, 0, payload, 1, Radio.Address.Length);
            Encoding.UTF8.GetBytes(values, 0, values.Length, payload, Radio.Address.Length + 1);

            Radio.SendTo(Encoding.UTF8.GetBytes(BaseStationAddress), payload);

            Thread.Sleep(periodTime);
         }
      }

      private void Radio_OnDataReceived(byte[] data)
      {
         // Display as Unicode
         string unicodeText = Encoding.UTF8.GetString(data);
         Console.WriteLine($"{DateTime.UtcNow:HH:mm:ss}-RX Unicode Length {0} Unicode Length {1} Unicode text {2}", data.Length, unicodeText.Length, unicodeText);

         // display as hex
         Console.WriteLine($"{DateTime.UtcNow:HH:mm:ss}-RX Hex Length {data.Length} Payload {BitConverter.ToString(data)}");
      }

      private void Radio_OnTransmitSuccess()
      {
         Led.IsOn = false;

         Console.WriteLine($"{DateTime.UtcNow:HH:mm:ss}-TX Succeeded!");
      }

      private void Radio_OnTransmitFailed()
      {
         Console.WriteLine($"{DateTime.UtcNow:HH:mm:ss}-TX failed!");
      }
   }
}

After sorting out power to the SHT31 (I had to push the jumper cable further into the back of the jumper cable plug). I could see temperature and humidity values getting uploaded to Adafruit.IO.

Visual Studio 2019 debug output

Adafruit.IO “automagically” provisions new feeds which is helpful when building a proof of concept (PoC)

Adafruit.IO feed with default feed IDs

I then modified the feed configuration to give it a user friendly name.

Feed Configuration

All up configuration took about 10 minutes.

Meadow device temperature and humidity