feat: Add Custom Dataset support for Streaming Tests

[Akhil-Pathivada]

Summary

VectorDBBench supports custom datasets for Performance Tests (search-only benchmarks). This PR extends that support to Streaming Tests (concurrent insertion + search benchmarks), enabling users to evaluate streaming performance on their domain-specific or proprietary datasets—a critical capability for production workload simulation.

Changes

• Backend: Extended StreamingPerformanceCase to accept custom dataset configurations
• Frontend - Run Test Page: Added new "Custom Streaming Test" cluster displaying custom streaming datasets as individual checkboxes
• Frontend - Custom Page: Added dedicated streaming dataset management section with create/edit/delete functionality
• Configuration: Added case_type field to differentiate streaming and performance datasets in custom_case.json

New Files

• vectordb_bench/frontend/components/custom/displayCustomStreamingCase.py

Modified Files

• vectordb_bench/backend/cases.py
• vectordb_bench/frontend/components/custom/getCustomConfig.py
• vectordb_bench/frontend/config/dbCaseConfigs.py
• vectordb_bench/frontend/components/run_test/caseSelector.py
• vectordb_bench/frontend/pages/custom.py
• vectordb_bench/custom/custom_case.json

User Workflow

1. Navigate to /custom page
2. Add new streaming dataset in "Streaming Test Datasets" section
3. Configure dataset parameters (name, path, dimensions, file names, etc.)
4. Save configuration
5. Navigate to /run_test page
6. Select custom streaming dataset from "Custom Streaming Test" cluster
7. Configure streaming parameters (insert_rate, search_stages, concurrencies)
8. Run test

Testing

• Custom streaming dataset can be created and saved
• Custom streaming dataset appears in "Custom Streaming Test"
• Streaming test runs successfully with custom dataset
• Multiple training files are loaded correctly

Screenshots

[Akhil-Pathivada]

/assign @alwayslove2013

[sre-ci-robot]

[APPROVALNOTIFIER] This PR is NOT APPROVED

This pull-request has been approved by: Akhil-Pathivada, alwayslove2013
To complete the pull request process, please assign xuanyang-cn after the PR has been reviewed.
You can assign the PR to them by writing /assign @xuanyang-cn in a comment when ready.

The full list of commands accepted by this bot can be found here.

Details

Needs approval from an approver in each of these files:

• OWNERS

Approvers can indicate their approval by writing /approve in a comment
Approvers can cancel approval by writing /approve cancel in a comment