refactor(centralServer): faster dashboard item filtering by access policy

[jaskfla]

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[gemini-code-assist]

Summary of Changes

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This pull request introduces a significant performance enhancement to the central server's dashboard item filtering mechanism. By transitioning from an inefficient in-memory filtering approach to a highly optimized direct SQL query, the system can now retrieve permitted dashboard items much faster. This change streamlines data access and reduces processing overhead, leading to a more responsive user experience when dealing with dashboard item permissions.

Highlights

• Performance Improvement: The in-memory filtering of dashboard items based on access policy has been replaced with a direct SQL query, significantly improving performance.
• Database Optimization: The function now directly queries the database to retrieve only the permitted dashboard item IDs, avoiding the need to fetch all items and permission groups into memory.
• Code Refactoring: The implementation has been refactored to use SqlQuery for database interaction and includes JSDoc type definitions for better code clarity.

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Changelog

• packages/central-server/src/apiV2/dashboardItems/getPermittedDashboardItems.js
  • Replaced the hasSomePermissionGroupsAccess utility and in-memory filtering logic with a direct SQL query.
  • Introduced JSDoc type definitions for AccessPolicy, ModelRegistry, and DashboardItem for improved code readability and maintainability.
  • Utilized SqlQuery.record for safe binding of permission group names into the SQL query.
  • Optimized data retrieval by directly selecting distinct dashboard item IDs based on associated permission groups and the user's access policy.

Activity

• No human activity (comments, reviews, etc.) has been recorded on this pull request yet.

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[gemini-code-assist]

Code Review

This pull request refactors the getPermittedDashboardItems function to improve performance by moving the filtering logic from JavaScript into a direct SQL query. This is an excellent change that should significantly speed up dashboard item filtering. The new SQL query is well-constructed. I've added one suggestion to simplify how the query parameters are bound, which will make the code a bit cleaner.