You might have heard of this guy before, or maybe you haven’t because it’s not exactly the most popular kid in town anymore. But hey, let’s give him some love anyway!
So what is asyncore? Well, it’s a support module for Common Gateway Interface (CGI) scripts that’s right, , we’re talking about web development here! CGI is an old-school way of handling incoming requests on the server side. It works by spawning a new process for every single request, which can be pretty inefficient if you have a lot of traffic coming your way. But asyncore helps us handle these requests asynchronously, without having to create a new process each time.
Now, why we should care about this module at all. First, it’s deprecated since Python 3.6 that means it’s on its way out and will eventually be removed altogether in some future version of Python. So if you want to keep up with the times (and avoid any potential headaches down the line), you might want to consider using something else instead.
But here’s the thing: asyncore is still useful for certain tasks, especially when it comes to testing. The tests for ftplib, logging, smtpd, smtplib, and ssl are all partly based on asyncore so if you need to update those tests to use something else (like threading or asyncio), you might want to take a closer look at this module.
So how does it work? Well, asyncore provides the basic infrastructure for writing asynchronous socket service clients and servers. It’s not exactly rocket science there are only two ways to have your program do “more than one thing at once” on a single processor: multi-threaded programming or this technique that lets you have nearly all the advantages of multi-threading without actually using multiple threads (which is really only practical if your program is largely I/O bound).
Now, some examples. Here’s how to use asyncore to handle incoming requests:
# Import the asyncore module
import asyncore
# Create a class for handling incoming requests
class MyHandler(asyncore.dispatcher):
# Initialize the class
def __init__(self):
# Create a socket for communication
self.create_socket(socket.AF_INET, socket.SOCK_STREAM)
# Bind the socket to a specific port
self.bind(('', 1234))
# Listen for incoming connections
self.listen(5)
# Handle incoming connections
def handle_accept(self):
# Accept the connection and get the client's address
conn, addr = self.accept()
# Print the address of the client
print('Received connection from: ', addr)
# Create a new instance of the handler class
handler = MyHandler()
# Create a socket for communication with the client
handler.create_socket(conn.fileno(), socket.AF_INET, socket.SOCK_STREAM)
# Connect to the client
handler.connect(('', 1234))
# Handle the request
self.put_request_handler(handler)
# Handle any additional incoming connections
self.handle_accept()
# Handle reading data from the client
def handle_read(self):
# Receive data from the client
data = self.recv(1024)
# Check if the data is empty
if not data:
# If so, close the connection
print('Connection closed by client')
self.close()
else:
# If not, print the received data
print('Received data from client: ', repr(data))
# Send a response back to the client
self.sendall(b'HTTP/1.1 200 OK\r\nContent-Length: 14\r\n\r\nHello, world!')
# Handle closing the connection
def handle_close(self):
# Print a message indicating the connection has been closed
print('Connection closed by server')
# Check if the script is being run directly
if __name__ == '__main__':
# Create an instance of the handler class
handler = MyHandler()
# Start the asyncore event loop
loop = asyncore.loop()
try:
# Run the handle_accept method until it is complete
loop.run_until_complete(handler.handle_accept())
except KeyboardInterrupt:
# If the user interrupts the program, exit gracefully
pass
finally:
# Close the event loop
loop.close()
And that’s it! This code sets up a simple server that listens on port 1234 and sends back “Hello, world!” whenever it receives data from the client. It uses asyncore to handle incoming connections asynchronously, without having to create a new process each time.
While it may be on its way out, it still has some useful applications (especially when it comes to testing), so don’t write it off just yet. And if you want to learn more about this module and other high-level APIs in asyncio, check out the official documentation there are plenty of resources available for those who want to dive deeper into asynchronous programming with Python!