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Interprocess Communication in Python: Exploring Options for Bi-directional Communication
Interprocess communication is crucial for enabling interactions between separate Python runtimes. Various approaches have been attempted, including:
Multiprocessing to the Rescue
The Python community offers an elegant solution through the multiprocessing library. It empowers processes with listeners and clients built atop sockets, facilitating the exchange of arbitrary Python objects.
Server-side Implementation:
<code class="python">from multiprocessing.connection import Listener # Define the server address address = ('localhost', 6000) # Create a listener with a secret password for authentication listener = Listener(address, authkey=b'secret password') # Accept incoming connections conn = listener.accept() print('Connection accepted from', listener.last_accepted) # Process incoming messages while True: msg = conn.recv() # Handle the message if msg == 'close': # End the communication conn.close() break listener.close()</code>
Client-side Implementation:
<code class="python">from multiprocessing.connection import Client # Specify the server address address = ('localhost', 6000) # Connect to the server using the secret password conn = Client(address, authkey=b'secret password') # Send commands to the server conn.send('close') # Send arbitrary objects as well # conn.send(['a', 2.5, None, int, sum]) # Close the connection conn.close()</code>
By employing this solution, you can effortlessly establish robust and efficient interprocess communication in Python, fulfilling your requirement for message passing and two-way communication between separate processes.
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