Day 39 - March 20, 2026

Executive summary

• Goal: make the PCP (HiPlot parallel‑coordinates) reliable, add version selection, and improve backend/frontend clarity and stability.
• Completed bug fixes and reliability improvements in both backend and frontend.
• Raised recommended frontend hardening and productivity upgrades for later implementation.

What changed

Bug fixes

• Fixed server crash (NameError).
• Restored missing helper that previously caused 500 errors.
• Files changed: main.py.

Backend updates

• Added _list_local_results_versions() to enumerate cached anana_v* folders.
• Added a detailed module-level docstring covering:
  • API surface
  • data layout and formats
  • run notes
  • security considerations
• Key file: main.py.

Frontend updates (headers + small UX wiring)

• Added clear header comments in primary frontend files describing purpose, props, and usage.
• Updated files (examples):
  • HiPlotViewer.svelte
  • TrialLeaderboard.svelte
  • LogObserver.svelte
  • LogConsole.svelte
  • JobForm.svelte
  • Footer.svelte
  • +page.svelte (multiple locations)
  • +layout.svelte
  • Header.svelte
  • vite.config.ts
  • svelte.config.js
  • app.d.ts
  • +page.ts

Suggested frontend improvements (next option set)

1. Centralize API calls in src/lib/api.ts with support for:
   • timeouts
   • retries
   • AbortController
2. Use AbortController + debounce when switching versions to prevent duplicate fetches.
3. Improve loading UX (skeleton states, aria-live status, richer error messaging, accessibility).
4. Harden HiPlot HTML embedding (CSP/sandboxing or same-origin backend route).
5. Add unit/E2E tests (Vitest/Playwright) and CI svelte-check.

Status / immediate next actions

• Restart backend after code changes:

cd backend
& .venv\Scripts\Activate.ps1
uvicorn main:app --reload --host 0.0.0.0 --port 8000

• Commit & push to the working branch.
• Implement one frontend improvement (e.g. api.ts + AbortController wiring in HiPlotViewer).
• Add tests or a CI job for typecheck + svelte-check.

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Context

Today’s work focused on elevating the app from a functional prototype to a production-ready MLOps platform by implementing key architectural and UX optimizations from the project scan. The goal was robustness, security, and observability for expert users.

Internship diary - Mar 19, 2026

• Role: AI Engineer - SynerSense
• Project: AnanaCare ML Control Plane (Optimization & Reliability Phase)
• Hours: 8

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Work summary

Implemented high-priority optimizations in SvelteKit frontend and FastAPI backend to handle high-dimensional ML metadata more efficiently and securely.

Key technical achievements

• Centralized API architecture: created src/lib/api.ts to unify fetch logic with consistent error handling, base URL management, and injected HF_TOKEN for Hugging Face.
• Request lifecycle management: added AbortController to prevent stale fetches when switching versions quickly.
• Enhanced visualization UX: upgraded HiPlot viewer with a state-aware loading path (Loading Versions → Fetching Metadata → Rendering Plot) and retry support.
• Security & sandboxing: hardened HiPlot with restrictive iframe sandbox (allow-scripts allow-same-origin) while preserving interactive plot functionality.
• Persistent deep-link state: synced selectedVersion to URL query params for sharable and bookmarkable experiment views.

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Technical stack & skills used

Component	Technology	Skill Applied
Frontend Architecture	SvelteKit / TypeScript	Centralized API patterns, AbortController, URL state sync.
Security	HTML5 / CSP	iframe sandboxing, blob content origin-isolation.
Observability	Chrome DevTools / FastAPI	HiPlot to_html() performance profiling.
DX	ESLint / Prettier	code quality standardization across frontend repository.

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Learnings & outcomes

• Resilient async communication under rapid user interactions.
• Progressive loading states reduce perceived latency.
• Shifted from prototype to secure handling of arbitrary ML-generated HTML.

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Blockers & risks

• Blob URL complexity: some browser extensions may break blob: URL iframe rendering.
  • Mitigation: document backend route fallback for HiPlot HTML.
• Performance bottleneck: 1000+ trial sets can slow initial HiPlot rendering.
  • Mitigation: explore Web Worker for JSON→CSV transformation.

Next steps

1. Implement “Model Promotion” logic to formalize best-trial → production model flow.
2. Final E2E test of parallel tuning flow across multiple job IDs per PS1_USAGE.md.