This Python code is designed to facilitate P2P communication using a LoRaE5 module on a Raspberry Pi OS (Linux), leveraging the UART functionality for serial communication. The code provides a framework for sending and receiving data over LoRa, including setup, message formatting, and handling.

• A Raspberry Pi with Raspberry Pi OS installed.
• A LoRaE5 module connected to the Raspberry Pi via UART.
• Python 3.x installed on the Raspberry Pi.

• Serial Communication Setup: Establishes communication with the LoRaE5 module using the serial library.

1. Hardware Setup:

   • Connect the LoRaE5 module to the Raspberry Pi via the UART pins.
   • Ensure the module is powered and correctly wired to the Pi's GPIO pins for serial communication.

2. Software Setup:

   • Install necessary Python libraries: pySerial for serial communication and threading for concurrent operations.
   • Define the communication parameters, such as the baud rate and serial port, matching your hardware setup.

3. Send a Message:

   • Use the fetch or command method to send a message.

from loracap.LoRaMode import *

class Switch(LoRaMode):
    def __init__(self):
        super(LoRaMode, self).__init__()
    def handle_line(self, line):
        """
        We don't need any events for this example.
        """
        self.responses.put(line)
 
ser = serial.serial_for_url('/dev/ttyS0', baudrate=9600, timeout=1)
with serial.threaded.ReaderThread(ser, Switch) as lorae5:
   print(f"Current Mode: {lorae5.mode}")
   
   print("Change to LWOTAA Mode")
   lorae5.mode = 'LWOTAA'
   
   print("Change to LWABP Mode")
   lorae5.mode = 'LWABP'

   print("Change to TEST Mode")
   lorae5.mode = 'TEST'
   print(f"Current Mode: {lorae5.mode}")

Current Mode: LWOTAA
Change to LWOTAA Mode
Change to LWABP Mode
Change to TEST Mode
Current Mode: TEST

from loracap.LoRaMode import *

ser = serial.serial_for_url('/dev/ttyS0', baudrate=9600, timeout=1)
read_thread = serial.threaded.ReaderThread(ser, LoRaTESTMode)
read_thread.start()
_thread, lorae5 = read_thread.connect()

print("Credentials: \n{}\n".format(lorae5)) 

print("Updating credentials...")
# lorae5.DevEui = '2CF7F12053700006'
lorae5.DevEui = '2C:F7:F1:20:53:70:00:06'
# lorae5.DevAddr = '3230C9A3'
lorae5.DevAddr = '32:30:C9:A3'
# lorae5.AppEui = '8000000000000009'
lorae5.AppEui = '80:00:00:00:00:00:00:09'

print("Credentials updated!\n{}".format(lorae5))

Credentials: 
DevEui: 2C:F7:F1:20:53:77:88:99, DevAddr: 42:33:55:A4, AppEui: 80:00:00:00:FF:00:00:10

Updating credentials...
Credentials updated!
DevEui: 2C:F7:F1:20:53:70:00:06, DevAddr: 32:30:C9:A3, AppEui: 80:00:00:00:00:00:00:09

This project is managed with Poetry, which supports both virtual environments for isolation and direct system-wide installation. You can choose the approach that best fits your workflow.

If you prefer not to use a virtual environment, ensure your system has the required Python version and dependencies. This method may lead to conflicts with other Python projects or system packages.

To install Poetry, execute:

curl -sSL https://install.python-poetry.org | python3 -

1. Install Dependencies: In the project directory, run:

   poetry install

   This command installs dependencies and optionally sets up a virtual environment.

2. Activate the Virtual Environment: To avoid conflicts with the system-wide Python interpreter and ensure project dependencies are managed separately, activate the virtual environment:

   poetry shell

Using a virtual environment is recommended to isolate project dependencies, providing a controlled development environment and minimizing potential conflicts.

For more details, visit Poetry's official documentation.