#562 [API/Perf] logs.py df.iterrows() performance anti-pattern
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EditFile: api/blueprints/v1/logs.py:412. df.iterrows() is notoriously slow - creates a Series for each row. IMPACT: 10-100x slower than alternatives. FIX: Use df.to_dict('records') instead.
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