Week 25 - Daily Log

Continuing the detailed daily logging format. Each day’s work and learning outcomes are tracked in separate files for clarity and granularity.

Table of Contents


Overview

This week focuses on the AnanaCare Relabel project, with emphasis on automating the setup process and planning the Undo/Redo functionality.


Weekly Summary

This week advanced the AnanaCare Relabel platform across three core areas: UI/UX stabilization, reliable data sync & relabel tooling, and training/experiment infrastructure. Work progressed from layout and global-state refactors to robust maintenance and sync pipelines, culminating in a new Legend gallery child app integration and several hardening fixes for production parity.

Key outcomes:

  • Frontend: Global header and version-management refactor, improved state synchronization across tabs, and several UI stability fixes.
  • Data & Sync: Automated sync_labels.py workflow with timestamped backups, selective reversion tooling (revert_columns.py), and auditable upload strategies (dual HF uploads + branch-based validation).
  • Maintenance & Infra: Maintenance console (React + SSE) and a safe-sync wizard; PowerShell run.ps1 fixes and Git LFS optimizations for Windows.
  • Training & HF integration: Migrated experiment uploads to anana_v2, remote job submission validated, and logging noise reduction planned for train.py.
  • New App: Integrated LegendGalleryApp with filters, click-to-detail behavior, and whitelisted Gradio paths for dataset serving.

Current status: UI & sync pipelines are stable for Level 1 usage; model integration (float->level mapping) and Level 2 UX features (side-by-side comparisons) remain in progress.

Next steps: finalize model threshold validation, add configuration options for dataset filenames/extensions, implement unit tests and CI for relabel merges, and start Level 2 UX work.

Daily Work Logs

See the sidebar or the links above for each day’s detailed log.


Table of contents


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