The current implementation of the get_request_message function iterates through all messages stored in the session, which can lead to inefficiencies, especially when the number of messages is large. This could impact performance and increase response times for users.
This enhancement proposes a more efficient implementation of the get_request_message function. Instead of iterating through all messages, the updated function will utilize Python's built-in next() function to return the first message that contains "scholarship" or "case." This change will reduce the complexity of the function and improve its performance by stopping the search as soon as a relevant message is found.
Alternatives
One alternative considered was to retain the existing implementation. However, this approach could lead to increased processing time and complexity in scenarios where many messages are stored. The proposed solution provides a cleaner and more efficient way to retrieve relevant messages, improving overall application performance without sacrificing functionality.
Problem
The current implementation of the
get_request_messagefunction iterates through all messages stored in the session, which can lead to inefficiencies, especially when the number of messages is large. This could impact performance and increase response times for users.https://github.com/creativecommons/legaldb/blob/9c35ccdb77b86749e61d192d76e529f6838a0943/legal_db/views.py#L206-L210
Description
This enhancement proposes a more efficient implementation of the
get_request_messagefunction. Instead of iterating through all messages, the updated function will utilize Python's built-innext()function to return the first message that contains "scholarship" or "case." This change will reduce the complexity of the function and improve its performance by stopping the search as soon as a relevant message is found.Alternatives
One alternative considered was to retain the existing implementation. However, this approach could lead to increased processing time and complexity in scenarios where many messages are stored. The proposed solution provides a cleaner and more efficient way to retrieve relevant messages, improving overall application performance without sacrificing functionality.
Additional context
Implementation