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Listen for key events in a CLI app

+1
−2

I have a Python program like this:

done = False
while u and not done:
    i = u.pop()
    print(f"Processing {i}")
    do_big_task(i)

finish_up()

Since this takes a long time, the user might get tired of waiting. I want the program to also continually listen for a keystroke, such as space, and if the user presses this done will be set to True so that the loop will automatically stop at the next iteration.

Note that I still want finish_up() to run even if the loop is terminated early.

How can I do this?

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3 comment threads

Underresearched (2 comments)
Found on Stack Overflow (1 comment)
Fine-grained? (2 comments)

1 answer

+1
−0

First of all, the standard keystroke for interrupting a CLI program would be ctrl + C or whatever the windows equivalent is. Therefore, you will get the most consistent user experience if you use this standard keystroke for interrupting the program (rather than something custom like space).

One big advantage of using standard keystrokes, is that Python will raise a KeyboardInterrupt exception upon detection. As a result, we just have to write error handling code to stop the program properly.

A Minimal Working Example (MWE) of this code could look as follows:

import time

done = False
while not done:
    try:
        print("looping")
        time.sleep(1)
    except KeyboardInterrupt:
        done = True

print("done")

It might be even (slightly) better to wrap the entire code as follows:

import time

try:
    while True:
        print("looping")
        time.sleep(1)
except KeyboardInterrupt:  # not strictly necessary
    pass
finally:
    print("done")

Addendum: as indicated in the linked documentation (and mentioned in the comments), it would be important that the finish_up function has minimal runtime and allows to exit the program as quickly as possible. If the code in finish_up is lengthy, it might be useful/necessary to split up the code in a part that makes sure the program leaves a consistent state (if possible without too much overhead) and a (possibly slow) post-processing part that would appear inside of the try block. E.g.

import time

try:
    while True:
        print("looping")
        time.sleep(1)
    
    post_processing()
except KeyboardInterrupt:  # not strictly necessary
    pass
finally:
    print("finishing")
    clean_up()
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