Daily Report: 2026-01-07

🚀 Key Achievements

1. Monorepo Architecture Refactoring (Major)

• Goal: Rebrand as 'Beauty Insight Lab MVP' and establish a scalable structure for managing both Dashboard (Frontend) and AI Agent (Backend).
• Outcome: Successfully transitioned to a Monorepo structure.
  • Frontend: Moved all Next.js dashboard code to /frontend.
  • Backend: Created /backend workspace for the Python AI Agent.
  • Root: Established a managed root with unified README.

2. Live Backend Integration

• Goal: Connect the Dashboard to the running Python FastAPI server (translation-agent).
• Outcome: Replaced the Mock API with a real Proxy Route (app/api/localization/route.ts) forwarding requests to http://127.0.0.1:8000/translate.

3. Stability & UX Enhancements

• Bug Fix: Resolved a TypeError where the frontend crashed due to mismatching JSON keys (snake_case vs camelCase). Implemented a normalization layer in the Next.js API Proxy.
• Visual Feedback: Added a "Copied!" state (Green checkmark, 2s timer) to the Copy button, improving user confidence.
• Architecture Design: Formulated "Strategy Extraction" directives for the Backend AI to enforce structured JSON output (Pydantic) for the "Why this works?" feature.

📝 Technical Details

• Architecture: Monorepo (Frontend: Next.js 16, Backend: Python FastAPI).
• Pattern:
  • API Proxy Pattern: Frontend (api/localization) -> Proxy -> Backend (localhost:8000). Solves CORS and hides backend topology.
  • Adapter Pattern: Normalizing backend result field to frontend targetText expectation within the proxy.

🔜 Next Steps

• Git Migration: Push the new Monorepo structure to the beauty-inside-lab-mvp repository.
• Backend Implementation: Apply the Pydantic schemas to the Python Agent to fully power the "Strategy Breakdown" UI.
• Deploy: Setup separate deployment pipelines for Frontend (Vercel) and Backend (Fly.io/AWS).