⚡ Bolt: Optimize CSV import to prevent N+1 query bottleneck

[billlzzz10]

💡 What
Replaced the findFirst database query inside the CSV row loop with a bulk fetch (findMany) of existing prompt titles using the in operator. The existing titles are then stored in a Set for O(1) lookups within the loop.

🎯 Why
When an admin uploads a CSV of prompts, the system was performing a separate database query for every single row to check for existing prompts with the same title. This created an N+1 query bottleneck that severely degraded performance and increased database load for large CSV files.

📊 Impact
Reduces database queries during the existence-check phase from O(N) to O(1) bulk query, significantly speeding up the CSV import process and reducing database overhead.

🔬 Measurement
Upload a large CSV file with hundreds of rows in the admin panel and monitor the time taken to process the import, as well as the database query logs. The number of queries should be drastically reduced.

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PR created automatically by Jules for task 1832030483130300851 started by @billlzzz10

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Summary by cubic

Optimized the admin CSV prompt import by replacing per-row existence checks with one bulk fetch and in-memory lookups. Removes the N+1 query and speeds up large imports while reducing DB load.

• Refactors
  • Pre-fetch existing prompt titles via findMany with in, store in a Set for O(1) checks.
  • Add new titles to the Set during processing to skip CSV duplicates.

^{Written for commit dc21805. Summary will update on new commits.}

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Project	Deployment	Actions	Updated (UTC)
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