Recommended configuration for smart home development using Visual Studio Code on Linux

Recommended configuration for smart home development using Visual Studio Code on Linux

Smart home refers to an intelligent system that connects and controls multiple home devices through the network. It can provide various convenient and comfortable functions , such as smart lighting, smart door locks, smart temperature control, etc. When developing smart home applications, it is important to choose a suitable development environment. Visual Studio Code is a lightweight and powerful code editor that supports smart home development on Linux and provides a wealth of plug-ins and functions to make development more efficient and convenient.

The following is the recommended configuration for smart home development using Visual Studio Code on Linux:

1. Download and install Visual Studio Code
   First, we need to download and install Visual Studio Code. You can visit the official website https://code.visualstudio.com/, choose the installation package suitable for your Linux system, and install it according to the official guide.
2. Install C and Python plug-ins
   Smart home development usually requires the use of C and Python programming languages, so we need to install relevant plug-ins to support the development of these two languages. Search for and install the "C" and "Python" plugins in Visual Studio Code's extension store. Once the installation is complete, we can write and run C and Python code in Visual Studio Code.
3. Configuring serial port communication
   Smart home devices usually communicate through the serial port, so we need to configure Visual Studio Code to support serial port communication. First, we need to install libraries related to serial communication. Run the following command in the terminal to install the dependent libraries:

sudo apt-get install libboost-system-dev libboost-thread-dev

Then, open Visual Studio Code, click the extension button in the left navigation bar, search for and install the "PlatformIO IDE" plug-in. After the installation is complete, click the "PlatformIO" button, select "Initialize Project", and then select your project folder. Visual Studio Code will automatically create a configuration file "platformio.ini" for your project.

In the "platformio.ini" file, we need to configure the port number and baud rate of the serial port. Find the following two lines of code and change the port number and baud rate to your actual configuration:

monitor_port = /dev/ttyACM0
monitor_speed = 115200

After the configuration is completed, we can connect and debug your smart home devices through Visual Studio Code .

4. Using Git for version control
   Version control is a very important part of software development. It can help us track and manage code changes. In Visual Studio Code, we can use the built-in Git plug-in for version control. First, we need to install Git and configure user information. Run the following command in the terminal to install Git:

sudo apt-get install git

Then, run the following command in the terminal to configure the user information:

git config --global user.name "Your Name"
git config --global user.email "you@example.com"

After the configuration is completed, we can use Visual Studio Code Open the project folder in and perform version control by clicking the Source Code Management button in the left navigation bar.

The above are the recommended configurations for smart home development using Visual Studio Code on Linux. By properly configuring Visual Studio Code, we can get a more efficient and convenient development experience. I wish you success on the road to smart home development!

Code example: Use the Adafruit_DHT library in Python to read the temperature and humidity data of the DHT11 sensor.

import Adafruit_DHT

sensor = Adafruit_DHT.DHT11
pin = 4

humidity, temperature = Adafruit_DHT.read_retry(sensor, pin)

if humidity is not None and temperature is not None:
    print('Temperature={0:0.1f}C  Humidity={1:0.1f}%'.format(temperature, humidity))
else:
    print('Failed to read data from DHT11 sensor')

The above code uses the Adafruit_DHT library to read the temperature and humidity data of the DHT11 sensor connected to GPIO 4 pin. By calling the Adafruit_DHT.read_retry function, we can get the temperature and humidity values ​​returned by the sensor and print them out. If the read fails, the corresponding error message will be output.

Note: Before running the above code, you need to install the Adafruit_DHT library. You can install it by running the following command in the terminal:

pip install Adafruit_DHT

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