⚡ Bolt: [performance improvement] optimize remover_produto existence check

[rauhmaru]

💡 What

Replaced a full table scan and a nested python-side iteration loop within remover_produto with TinyDB's native .contains() combined with a .any() query.

🎯 Why

When deleting a product, the application needs to ensure the product isn't actively being used as an ingredient in any saved cocktail recipe. Previously, this meant calling cocktails_table.all() (loading the entire table into memory) and manually scanning every nested ingredient array in Python to look for the ID.

This O(N * M) operation is memory-intensive and slow, especially as the cocktail table grows. TinyDB supports querying within nested lists.

📊 Impact

Changes the check from an O(N * M) full-table Python-side scan into an optimized TinyDB internal check that immediately short-circuits (O(1) to O(K)) upon finding the very first match. This reduces memory allocations (no longer returning all documents to the application layer) and speeds up the API endpoint for valid and blocked deletions.

🔬 Measurement

Tests pass smoothly (python -m pytest test_app.py). Tested existence validation by seeding mock data.

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PR created automatically by Jules for task 8303818743258221029 started by @rauhmaru

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