lement fully functional advanced filter drawer

[lakshay122007]

Before opening: make sure there is an issue tracking this work, and link it below. PRs without a linked issue may be closed without review.

Linked issue

Closes #152

What this PR does

This PR transforms the previously non-functional "More Filters" button into a fully working feature. Clicking the button now opens a slide-out drawer that allows users to filter the findings list by Status (Open, Accepted, Ignored) and Tool (dynamically pulled from the existing dataset).

Type of change

• Bug fix
• New feature
• ML model / training pipeline
• Refactor (no behaviour change)
• Documentation
• Tests only

ML tier (if applicable)

• Tier 1 — Triage
• Tier 2 — Predictive
• Tier 3 — Autonomous
• Not ML-related

Stack affected

• Backend
• Frontend
• Both

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Changes

Backend

Frontend

• frontend/src/app/pages/findings.tsx: Added selectedStatuses and selectedTools state hooks. Updated the filteredFindings useMemo block to apply these filters natively on the client side. Implemented a new Radix UI <Sheet> component containing interactive <Checkbox> lists for the advanced parameters.

New dependencies

Database / schema changes

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Testing

How did you test this?

Tested locally by clicking the "More Filters" button, selecting different combinations of Status and Tool, and verifying that the main findings table instantly reflects the chosen parameters. Verified the "Clear All Advanced Filters" button successfully resets the state.

Checklist

• Tested locally end-to-end (upload ZIP or GitHub URL → scan → findings returned correctly)
• New ML model falls back gracefully when model file is absent
• No new console.error or unhandled Python exceptions introduced
• Added or updated tests where applicable
• requirements.txt / package.json updated if new dependencies added
• New model files (.pkl, .pt, etc.) are gitignored, not committed

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Anything reviewers should focus on

The filtering is handled entirely client-side within the filteredFindings useMemo hook, as the full dataset is already available in memory. No additional backend endpoints were required.

Screenshots (if UI changed)

(The UI now includes a right-side drawer containing multi-select checkboxes for Tool and Status filtering).

[lakshay122007]

hi @ionfwsrijan Please review it. Thanks!