04. Data Exchange Between Python® on Linux & Arduino Sketch
This tutorial will show you how to run a Python® application that exchanges data with an Arduino Sketch.
Overview
The container infrastructure provided by Arduino contains a pre-built Python® image that you can use to run Python® applications on the Portenta X8. In this tutorial, we are going to build a container based on a provided one.
While all the peripherals are accessible from the iMX8 processor running the Linux environment, it can be useful to let the onboard microcontroller take care of certain peripheral handling and exchange only the required data between the microcontroller and the Python® application.
You will be guided on how to achieve this setup. It is recommendable to familiarize yourself with the foundational elements of the Portenta X8 and its infrastructure by reading the user manual if you have not already done so.
Goals
- Learn how the RPC mechanism on the X8 works
- Learn how to exchange sensor data between Linux and an Arduino sketch
- Learn how to modify a container and run it
- Learn how to use commands to debug the container and service infrastructure
Required Hardware and Software
- Portenta X8
- Portenta breakout
- Any sensor (in this example, we will use an BME680 I2C module)
- Arduino IDE 1.8.10+, Arduino IDE 2, or Arduino Web Editor
Python® on the X8
Python® is a modern and powerful scripting language used for a wide range of applications. In this tutorial, we only read sensor data from an Arduino sketch, but you could extend the example and process the data further.
Communication Between Linux and Arduino Sketches
The Python® script will run on the Linux side and therefore on the iMX8 processor. The Arduino sketch, on the other hand, will run on the STM32H747 microcontroller. It allows for real-time processing on the Arduino side while running a fully-fledged operating system on iMX8.
However, the two processors need a communication mechanism to exchange data with one another. RPC (Remote Procedure Call) is the communication mechanism for this task. To establish communication, the M7 core on the STM32H747 microcontroller is used to hand over any data/request to the M4 core. That means your Arduino sketch will solely run on the M4 core. Dual-core processing on the Arduino side is currently not supported.
On the Linux side, there is a service that takes care of sending data between the two worlds. It is called
.m4-proxy
You can check if the service is running by logging into the X8 via
adb shell
and then executing the next command:1sudo journalctl -fu m4-proxy
If the service has stopped unexpectedly, you can restart it with the following command:
1sudo systemctl restart m4-proxy
The Arduino Sketch
The Arduino sketch to read sensor data doesn't look much different from an ordinary sketch. The only difference is that we expose the sensor data via RPC.
1RPC.bind("temperature", []{ return bme.temperature; });2RPC.bind("humidity", []{ return bme.humidity; });3RPC.bind("pressure", []{ return bme.pressure / 100.0F; });4RPC.bind("gas", []{ return bme.gas_resistance / 1000.0; });5RPC.bind("altitude", []{ return bme.readAltitude(SEALEVELPRESSURE_HPA); });
Two additional header files need to be included to enable the RPC mechanism on Portenta X8:
1#include <RPC.h>2#include <SerialRPC.h>
The
RPC.bind()
method makes the data available via the specified name e.g. "temperature". In our example, an anonymous function is created to return the corresponding sensor property whenever requested.Alternatively, you could bind the name to an existing, named function instead. The data can then easily be requested using that name (e.g. "humidity") by querying the
m4-proxy
service. Once data is requested, it is packaged as a message and sent over SPI to the iMX8.You can find the sketch in the software package here. You may need to change the sketch depending on the choice of the sensor to read from. If you're using an I2C sensor, you can connect SCL to PWM6 and SDA to PWM8 on the Portenta breakout.
That is because the labeled I2C pins on the Portenta Breakout are only available on the Linux side. If you are using an analog sensor, you can connect it to any analog pin. Please refer to the pinout diagram on the Portenta Breakout documentation page.
Make sure you have installed the Arduino Mbed OS Portenta Boards core and upload the sketch to the X8 in the Arduino IDE or via Arduino CLI.
Debugging the Arduino Sketch
To check if the Arduino sketch is working correctly, you may want to read the messages from the
Serial.println
statements. You cannot currently read them directly in the serial monitor of the Arduino IDE. Instead, you can use a simple service called py-serialrpc
, which listens for those messages and prints them to the console.This service needs to run on the Linux side of the X8. You can get the files here. The compressed file will have every file needed to build a container as the docker compose app. From the command prompt of your local machine, navigate to the adb tool folder and upload the files to the X8 with command:
1adb push <local directory path>/py-serialrpc /home/fio
Log into the X8 shell with
adb shell
and navigate into the serialrpc
folder. Build the container using1sudo docker build . -t py-serialrpc`
The
-t
flag assigns a tag to the container. Then run the container by executing cd..
and then:1sudo docker compose up -d
The
-d
flag detaches the container so it runs in the background. Note that this will run the docker compose app and have the container built persistently across reboots by registering it as a systemd service.To stop the container, run:
1sudo docker compose stop
Check if the container is running by executing:
1sudo docker ps
You can then access the log of its service at any time by using following command from the same directory:
1sudo docker compose logs -f --tail 20
If you do not wish to run the container in the background, skip the
-d
flag, you will get the console output directly in the executing shell. Once the container is running, you will see the messages being sent from the M4.The Python® Application
The Python® application requests the sensor data from the M4 over RPC and unpacks the message. Data can be requested by calling the function exposed over RPC on the M4 e.g.:
1m4_proxy_address = 'm4-proxy'2m4_proxy_port = 50013rpc_address = RpcAddress(m4_proxy_address, m4_proxy_port)4rpc_client = RpcClient(rpc_address)5temperature = rpc_client.call('temperature')
The complete Python® application files are in the same package as the Arduino sketch (see above). Like in the previous step, upload the
python-sensor-rpc
folder to the Portenta X8 via:1adb push <local directory path>/python-sensor-rpc /home/fio
Log into the X8 via
adb shell
. Then navigate into the python-sensor-rpc
folder and execute:1sudo docker build . -t python-sensor-rpc
When it has finished, you can run the container with:
1sudo docker compose up
After a few seconds, you should see the output from the Python application featuring the sensor readings on the M4 that exchanges through the RPC mechanism. The output should look similar to the following:
1python-sensor-rpc_1 | ============================================2python-sensor-rpc_1 | == Portenta X8 Sensor reading ==3python-sensor-rpc_1 | ============================================4python-sensor-rpc_1 |5python-sensor-rpc_1 | Temperature: 25.9042663574218756python-sensor-rpc_1 | Humidity: 25.5646953582763677python-sensor-rpc_1 | Pressure: 976.44000244140628python-sensor-rpc_1 | Gas: 136.4969python-sensor-rpc_1 | Altitude: 311.0769348144531
Whenever you change anything in the Python® script on your computer, you will have to resync and push the new script to the Portenta X8 and rebuild the container. Following command sequence will help you to do this process:
1# On your computer2adb push python-sensor-rpc /home/fio
1# On the Portenta X82sudo docker compose down
1# On the Portenta X82sudo docker build . -t python-sensor-rpc
1# On the Portenta X82sudo docker compose up
Alternatively, you could modify the files directly on the X8 using an editor such as VIM, so you do not need to upload the files every time. Rebuilding the container will be necessary in any case though.
If you wonder how to specify the Python® script that is executed when running a container, have a look at the
Dockerfile
file. There you will find the ENTRYPOINT
command that takes multiple arguments. In our example:1ENTRYPOINT [ "python3", "m4_to_python.py"]`
Conclusion
In this tutorial, you learned how to use the docker infrastructure to build a container that runs a Python® application. You have also learned how to use the RPC mechanism to exchange data between the microcontroller and the iMX8, which runs the Linux operating system.
Next Steps
- You may further process the data you receive from the Arduino sketch and, e.g., upload it to a Cloud service or similar.
- Familiarize yourself with Docker commands to adjust the docker configuration to your needs.
Suggest changes
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License
The Arduino documentation is licensed under the Creative Commons Attribution-Share Alike 4.0 license.