Day 21 - February 26, 2026

Parent: Week 24 - Daily Log | Nav Order: 21

Today’s Work Summary

1. Structural Architectural Mapping

Today, we completed a comprehensive mapping of the dual-JSON state management system. This architecture ensures a clear separation of concerns between transient user interactions and persistent project state. The frontend and backend now communicate through two well-defined data streams:

graph.json (The Delta): Captures immediate, session-specific user interactions such as drag-and-drop operations and modifications. This file is reset with each new session, ensuring that only the current browser activity is tracked.

relabel.json (The Ledger): Serves as the authoritative, persistent record of relabeling progress. It is structured as a nested dictionary (Column > Image ID) and is designed to support robust audit trails and recovery in case of interruptions.

This mapping lays the foundation for scalable, auditable, and user-friendly data labeling workflows.

2. Development of the "Smart Commit" Engine

We designed and implemented a Python-based analytics service, get_detailed_summary, which performs real-time reconciliation between the two JSON files. Key enhancements include:

Session Tracking: The system now provides precise metrics on the number of points modified during the current session, supporting granular progress monitoring and user feedback.

Global Progress Analytics: The analytics engine automatically aggregates relabeling statistics across all categories, enabling comprehensive reporting (e.g., total points relabeled, number of columns affected).

Completion Logic: A new detector flags any category as fully modified when the number of updated points matches the dataset size, supporting milestone tracking and workflow automation.

Error Handling and Validation: The service now includes robust error checking to ensure data integrity before any commit is made, reducing the risk of corrupt or incomplete records.

These improvements significantly enhance the reliability and transparency of the data labeling process.

3. Git Workflow Optimization

We transitioned the backend from a basic update mechanism to a structured, chronological log format for all commits. The following improvements were made:

Automated Timestamps: All commit headers now include formatted timestamps ([YYYY-MM-DD HH:MM]), providing a professional-grade audit trail for all changes.

Stability Enhancements: The subprocess logic in api.py was reviewed and refined to ensure that data is staged (git add .state/) and committed only when a valid summary is generated, preventing incomplete or erroneous commits.

Conflict Prevention: We replaced the previous git commit --amend approach with a new commit strategy, which is safer in multi-user environments and preserves the full history of changes.

Rollback and Recovery: Added mechanisms to detect and handle merge conflicts, and to facilitate rollback in case of failed commits, further improving the robustness of the workflow.

These changes ensure that the project history is both transparent and resilient to errors or concurrent edits.

Current Technical State

Feature	Logic Implementation
Point Counting	Sum of nested dictionary keys in `relabel.json` to determine total relabeled points.
Active Focus	Extracted from `graph.json['activeColumn']` to identify the current working category.
Time Format	`[%Y-%m-%d %H:%M]` for all commit timestamps, ensuring consistency and readability.
Status Indicators	Text-based indicators for full column modification ("FULL") and partial progress ("PARTIAL").
Validation Checks	Pre-commit validation routines to ensure data integrity and prevent incomplete commits.

Next Steps for Tomorrow

Error Reduction Metrics: Integrate the calculation of mean error reduction into commit messages by comparing old_error and new_error values from relabel.json. This will provide quantitative feedback on labeling quality improvements.
HuggingFace Auto-Sync: Verify and, if necessary, update git push permissions within the HuggingFace Space to ensure that the automated audit trail is consistently visible on the remote repository.
UI Progress Bar: (Optional) Develop and integrate a visual progress indicator in the React frontend to reflect the "Total Relabeled" statistics generated by the backend, improving user awareness and motivation.
Documentation Update: Expand the technical documentation to reflect the new architectural and workflow changes, ensuring that future contributors can easily understand and extend the system.
Automated Testing: Begin implementing automated tests for the analytics and commit logic to further enhance reliability and catch regressions early.

The module is now significantly more robust, transparent, and maintainable, providing a solid foundation for clinical-grade data labeling and future enhancements.