Exercise 1 – Creating a custom driver using the sensor API
In this exercise, we will create a custom driver for the BME280 sensor using the Zephyr sensor API.
In this exercise, we decided to include our device driver as a Zephyr external module. The external module is the source code that could be integrated with Zephyr, but it is located outside of the Zephyr root directory. The idea of Zephyr modules is presented in Modules Documentation. Every Zephyr module shall include a module.yml file in a zephyr/ folder at the root of its location. Thanks to this, we can inform the Zephyr build system where to look for the module files.
As an environmental sensor will be used in this exercise, the device driver needs to have an API that provides measurement data for temperature, pressure, and humidity. We can always design our own API (what will be covered in Exercise 3 of this lesson), but fortunately, in the Zephyr system, we can find an already existing API that matches our needs – sensor API. The sensor driver API provides functionality to uniformly read, configure, and set up event handling for devices that take real-world measurements in meaningful units.
Exercise steps
Open the code base of the exercise by navigating to Create a new application in the nRF Connect for VS Code extension, select Copy a sample, and search for Lesson 7 Exercise 1. Make sure to use the version directory that matches the SDK version you are using.
Devicetree bindings define the compatible property. It declares requirements on the contents of devicetree nodes, and provides semantic information about the contents of valid nodes.
This time, we are creating a custom driver for the existing API, so there is no need to add any additional fields. We can copy the original binding for the bme280 sensor from <nRF Connect SDK Install Path>/zephyr/dts/bindings/sensor/bosch,bme280-spi.yaml and adjust the file name and content to match our custom driver.
Create the file zephyr,custom-bme280.yaml and input the following lines:
In our external Zephyr module, we must keep a directory structure similar to that of the base Zephyr directory. Let’s save the file in our custom driver module, in dts/bindings/sensor like other sensor bindings in the Zephyr base directory, to follow the Zephyr file structure convention.
Now that we have a proper binding file in our Zephyr module, we can work on the driver itself. Most of the content has already been prepared, so we will focus only on the driver configuration and align with the binding and sensor API.
2.1 Define the driver compatible with the custom binding.
When using instance-based APIs, such as DEVICE_DT_INST_DEFINE(), we first need to define the driver compatibility as a C macro. This is done by setting DT_DRV_COMPAT to the lowercase-and-underscore version of the compatible that the device driver supports. Since our compatibility is "zephyr,custom-bme280", we will set DT_DRV_COMPAT to zephyr_custom_bme280.
Firstly, we declare the binding compatibility for our driver in the driver source file. (custom_bme280.c).
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#define DT_DRV_COMPAT zephyr_custom_bme280
C
2.2 Check if the devicetree contains any devices that are compatible with the driver.
We should also inform the user if the proper binding is missing by including:
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#if DT_NUM_INST_STATUS_OKAY(DT_DRV_COMPAT) ==0#warning"Custom BME280 driver enabled without any devices"#endif
C
3. Implement the driver-specific structures.
Next, we will define three missing driver-specific elements
data structure
configuration structure
driver API
3.1 Define the data structure to store BME280 data.
Create a driver data structure—it is the same structure we used in Lesson 5. The driver will use the structure to store current sensor data on each sampling. Put the data structure into the driver`s code.
3.2 Define the structure to store sensor configuration.
Since our sensor is connected using the SPI bus, we will need to get its configuration to communicate properly with the device. We can define a structure for storing this.
Now it is time to define API for our driver. In this exercise, we decided to use the existing API from the sensor subsystem. In our case, we will use the polling method to get sensor data.
More on this
In this exercise we are using Zephyr sensor subsystem. It is well described in: Sensors.
In our case, we only need the sample_fetchand channel_get functions. Skeletons of these are already prepared in custom_bme280.c (custom_bme280_sample_fetch() and custom_bme280_channel_get()).
We just need to implement the content, define the API structure, and connect them to the proper callbacks in the driver source code.
4.1 Populate the custom_bme280_sample_fetch() function.
This function should take in the device structure struct device and sensor_channel, use bme280_reg_read() to read out sensor measurements from the sensor and store them in custom_bme280_data.
4.2 Populate the custom_bme280_channel_get() function.
This function should take in the device structure struct device, the sensor_channel and sensor_value, and depending on the given channel (e.g pressure, humidity or temperature), calculate and store the value in sensor_value.
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struct custom_bme280_data *data = dev->data;switch (chan) {case SENSOR_CHAN_AMBIENT_TEMP: /* * data->comp_temp has a resolution of 0.01 degC. So * 5123 equals 51.23 degC. */val->val1 = data->comp_temp / 100;val->val2 = data->comp_temp % 100 * 10000;break;case SENSOR_CHAN_PRESS: /* * data->comp_press has 24 integer bits and 8 * fractional. Output value of 24674867 represents * 24674867/256 = 96386.2 Pa = 963.862 hPa */val->val1 = (data->comp_press >> 8) / 1000U;val->val2 = (data->comp_press >> 8) % 1000 * 1000U + (((data->comp_press & 0xff) * 1000U) >> 8);break;case SENSOR_CHAN_HUMIDITY: /* * data->comp_humidity has 22 integer bits and 10 * fractional. Output value of 47445 represents * 47445/1024 = 46.333 %RH */val->val1 = (data->comp_humidity >> 10);val->val2 = (((data->comp_humidity & 0x3ff) * 1000U * 1000U) >> 10);break;default:return -ENOTSUP; }return0;
C
5 Create the device driver definition
In this step, we need to design the helper macro (CUSTOM_BME280_DEFINE) responsible for device driver definition for a given device tree node. In the next step, we will use this macro for every enabled device tree node that is compatible with our driver. Macro contains three parts:
Device`s data structure template- It creates a data structure instance for a given device tree node
Devices`s configuration structure template- It creates a configuration structure instance for a given device tree node
Devices`s definition macro (instance-based) -Create a device object from a given device tree node.
5.1 Prepare helper macro and add structures for each device driver instance.
This step defines data and configuration structure instances for a given device tree node. We are using default values for the data structure instance, which will change during driver operation. For the configuration structure instance, we need to get SPI from the given device tree node, using SPI_DT_SPEC_INST_GET, you can learn more about this macro in SPI interface documentation.
5.2. Extend the macro by adding a definition using existing functions and structures.
Here we put all the parameters needed for DEVICE_DT_INST_DEFINE (this was covered in device model topic Device driver model). Let’s look into them and their role:
inst – instance, which is used to get device tree node id we are defining driver for, we take it from an input parameter of our CUSTOM_BME280_DEFINE macro helper
init_fn – Pointer to the device’s initialization function, we use already implemented driver’s initialization function (custom_bme280_init).
pm – Pointer to the device’s power management resources. We don’t need it for this exercise.
data– Pointer to the device’s data structure instance. We use the instance created by the template from the previous step.
config – Pointer to the device’s configuration structure instance. We use the instance created by the template from the previous step.
level – The device’s initialization level. We want to have the device initialized after kernel initialization.
prio – The device’s priority within its initialization level. We use the default priority level for the sensor subsystem.
API -Pointer to the device’s API structure. That is our device API created in step 3. We use custom_bme280_api for this parameter.
5.3. Create the struct device for every status “okay” node in the devicetree.
DT_INST_FOREACH_STATUS_OKAY() expands to code that calls CUSTOM_BME280_DEFINE once for each enabled node with the compatible binding file determined by DT_DRV_COMPAT.
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DT_INST_FOREACH_STATUS_OKAY(CUSTOM_BME280_DEFINE)
C
6. Create the build system for the driver.
Kconfig and CMake are necessary parts of the Zephyr build system. We need to include them at each level of the drivers directory.
6.1. Populate the CMakeLists.txt file for the custom driver.
Create drivers/sensor/custom_bme280/CMakeLists.txt and add the following lines.
Here, we define the Kconfig symbol CUSTOM_BME280_DRIVER , which, when enabled, will add the custom driver to the build (as we will do in the next step). The Kconfig symbol depends on DT_HAS_ZEPHYR_CUSTOM_BME280_ENABLED which just checks if the build devicetree has enabled this compatibility.
6.3. Add the custom_bme280 directory as a subdirectory in the sensor driver.
The custom_bme280 directory must be added as a subdirectory in drivers/sensor.
Create drivers/sensor/CMakeLists.txt and add the following line
6.5 Add the sensor directory to the build system structure.
Create drivers/CMakeLists.txt and add the following code snippet
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add_subdirectory_ifdef(CONFIG_SENSOR sensor)
CMake
6.6 Add the sensor submenu.
Create drivers/Kconfig and replace the code with the following code snippet
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menu"Drivers"rsource"sensor/Kconfig"endmenu
Kconfig
7. Create the Zephyr module definition.
7.1 Create a zephyr/module.yml file in the custom_driver_module folder and input the necessary configuration. Please notice that we put our dts directory into the Zephyr configuration by dts_root: .
Now that our Zephyr module containing a custom driver is ready, it is time to use it in the application.
8.1 Include the Zephyr module in the target application.
First, we need to tell Zephyr where to find our external module. We include it in the Zephyr modules list by modifying the CMakeLists.txt file in the app directory.
EXTRA_ZEPHYR_MODULES – is a CMake list of absolute paths to the directories containing Zephyr modules. We can add our module by using list(APPEND …) command.
8.2 Next, we need to enable our custom driver in prj.conf. We will use the configuration parameters created in step 6.
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CONFIG_SENSOR=yCONFIG_CUSTOM_BME280=y
Kconfig
8.3 Create a proper node definition in the overlay file corresponding to the board you are using. This time, our node should be compatible with our zephyr,custom-bme280 binding.
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•Support for nRF54LS05 DK (Available through the early access sampling program) •Support for the nRF54LM20B with Axon NPU for Edge AI applications
Bluetooth LE updates
•Quality of Service module is now production-ready. •New experimental features for RF testing (Direct Test Mode) and low-latency packet handling (LE Flushable ACL).
MCUboot & Partition Manager
•Single-Slot DFU and RAM Load mode are both promoted to fully supported •Partition Manager is officially deprecated in favor of Zephyr's devicetree-based partitioning.