This content originally appeared on DEV Community and was authored by Victor Del Carpio
Introduction
For my Phase 3 final project at the Flatiron School's Software Engineering program, I developed a CLI that allows the user to create and manage playlists. I’ll take you through the development of a Playlist Manager CLI project, discussing some key improvements made along the way, including the use of loop control techniques and code refinement.
Background
In this project, I used Python to create a user-friendly CLI that would allow the user to create and manage playlists and the songs within them. I used simple-terminal-menu for the CLI.
Initial Implementation
When starting out with the Playlist Manager CLI, the code was designed to manage playlists and songs via a terminal menu interface. Here’s a glimpse of the initial approach:
def list_playlists():
menu_items = ["Back"] + [playlist.name for playlist in Playlist.get_all()]
terminal_menu = TerminalMenu(menu_items, title="Select a Playlist")
while (choice := terminal_menu.show()) != 0:
playlist = Playlist.find_by_name(menu_items[choice])
if playlist_menu(playlist):
break # Exit the loop if the playlist menu indicates a change
In this version, break was used to exit the loop if a change occurred in the playlist menu. While this worked, it wasn’t the most elegant solution.
Refining Loop Control with Flags
In the refined version, we replaced the break statement with a flag (exit_loop) to manage loop control more gracefully. Here’s the updated list_playlists function:
def list_playlists():
menu_items = ["Back"] + [playlist.name for playlist in Playlist.get_all()]
terminal_menu = TerminalMenu(menu_items, title="Select a Playlist")
exit_loop = False
while (choice := terminal_menu.show()) != 0 and not exit_loop:
playlist = Playlist.find_by_name(menu_items[choice])
if playlist_menu(playlist):
exit_loop = True # Set flag to exit loop
Using a flag to control the loop’s exit condition improves readability and maintains clarity about the loop's intended behavior. This approach also avoids unexpected exits from nested or complex loops.
Enhanced Loop Control in Playlist Menu
Similarly, the playlist_menu function was adjusted to use a flag instead of break:
def playlist_menu(playlist: Playlist):
menu_items = ["Back", "Edit Playlist name", "Delete Playlist", "Add Song to Playlist"] + [f"{song.title}" for song in playlist.songs()]
terminal_menu = TerminalMenu(menu_items, title=f"Select a Song from {playlist.name}")
exit_loop = False
while (choice := terminal_menu.show()) != 0 and not exit_loop:
if choice == 1:
edit_playlist_name(playlist)
exit_loop = True
elif choice == 2:
return delete_playlist(playlist)
elif choice == 3:
add_song_to_playlist(playlist)
exit_loop = True
elif choice >= 4:
song = Song.find_by_title(menu_items[choice])
return song_menu(song)
return False
The use of exit_loop here provides a clear and consistent way to control when to exit the loop, improving overall code clarity and making the logic easier to follow.
Embracing the Walrus Operator
One of the significant enhancements in Python 3.8 is the introduction of the walrus operator (:=). This operator allows assignment within an expression, which simplifies the loop control structure. Before this feature, the code often involved separate lines for assignment and condition checks.
In the initial code, the assignment and condition check were separate:
choice = terminal_menu.show()
if choice != 0:
# Code here
With the walrus operator, you can streamline this into a single line:
while (choice := terminal_menu.show()) != 0:
# Code here
This not only makes the code more concise but also keeps the loop’s condition and assignment together, reducing the likelihood of errors and improving readability.
Summary
The evolution of this Playlist Manager CLI project showcases several key improvements:
Using Flags for Loop Control: Replacing
breakstatements with flags provides clearer control over loop exit conditions and enhances readability.Leveraging the Walrus Operator: The introduction of the walrus operator in Python 3.8 simplifies loop and condition logic, making code more concise and easier to understand.
Cleaner Code Practices: These changes reflect a broader trend toward cleaner, more maintainable code, which is essential in any software development project.
By embracing these best practices, developers can create more robust and readable code, paving the way for easier maintenance and scalability in their projects.
This content originally appeared on DEV Community and was authored by Victor Del Carpio
Victor Del Carpio | Sciencx (2024-09-18T17:16:10+00:00) Building a CLI for creating playlists: an evolution. Retrieved from https://www.scien.cx/2024/09/18/building-a-cli-for-creating-playlists-an-evolution/
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