⚡ Bolt: [performance improvement] Optimize remover_produto existence check - #83
⚡ Bolt: [performance improvement] Optimize remover_produto existence check#83rauhmaru wants to merge 1 commit into
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Replaces manual python iteration over all cocktails using `cocktails_table.all()` with a much more efficient TinyDB native query: `cocktails_table.contains(...)`. This allows TinyDB to short-circuit the evaluation as soon as it finds a match, avoiding full table scans and memory overhead. Also added a learning to .jules/bolt.md. Co-authored-by: rauhmaru <2289237+rauhmaru@users.noreply.github.com>
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💡 What: Refactored the
remover_produtofunction inapp.pyto use TinyDB's nativecontains()withany()for checking if a product exists within the nestedingredienteslist of any cocktail. Added an entry to the.jules/bolt.mdjournal detailing this optimization pattern.🎯 Why: Previously, checking if a product was in use by a cocktail involved fetching all cocktails into memory using
cocktails_table.all()and manually iterating over them in Python. This caused unnecessary memory allocation and overhead, particularly as the number of cocktails scales, since the iteration couldn't efficiently short-circuit in the database layer.📊 Impact: Reduces execution time significantly (especially when the searched item appears early or doesn't exist) by avoiding a full Python-level instantiation of the database table and avoiding looping over discarded items.
🔬 Measurement: Verification testing showed improvements for lookup times on a mock database of 10k cocktails. Running the
pytestsuite confirmed that all application logic around product removal and protection remains correctly intact.PR created automatically by Jules for task 7062649302256326799 started by @rauhmaru