Score: 125/100
Finished: 03.11.2024

minitalk is a project that implements inter-process communication using UNIX signals. It consists of a client and a server program, where the client sends messages to the server using SIGUSR1 and SIGUSR2 signals. This project is part of the 42 School curriculum.

Usage

To use minitalk, clone the repository in the root of your project using one of the following commands:

SSH

git clone [email protected]:blueyaGIT/minitalk.git

HTTPS

git clone https://github.com/blueyaGIT/minitalk.git

GitHub CLI

gh repo clone blueyaGIT/minitalk

This will create a directory called minitalk/. Enter it with the command:

cd minitalk

Compiling

To compile both the server and the client, use:

make

This will generate two executables:

• server
• client

Running the Program

Start the server

Run the server first, as it will wait for incoming messages:

./server

The server will print its Process ID (PID), which is required for the client to send messages.

Send a message from the client

Use the client to send a message to the server using its PID:

./client <server_pid> "Your message here"

For example:

./client 12345 "Hello, World!"

Files

• server.c - Implements the server logic, receiving and processing signals.
• client.c - Implements the client logic, converting messages into signals.
• Makefile - Automates the compilation of the project.

Signal Handling

• SIGUSR1 - Represents a binary 0.
• SIGUSR2 - Represents a binary 1.

The client converts each character of the message into binary and sends it bit by bit using these signals. The server reconstructs the message and prints it.

Bonus

The bonus version includes additional features such as:

• Handling Unicode characters.
• Acknowledgement signals from the server to confirm receipt of each character.

To compile with bonus support, use:

make bonus

Notes

• The server must be running before sending messages.
• Ensure that the PID provided to the client is correct.
• The implementation uses usleep() to manage signal timing and avoid data loss.

For more details, refer to the project documentation or the 42 subject PDF.

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