tfm_ainventory/dev_docs/SESSION_HISTORY.md

AI Session History

Archive of previous AI handover notes from SESSION_STATE.md. Entries are added here when a new AI session starts.

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[Archived: 2026-04-11 - Dockerization Complete]

• Implemented dual-mode Dockerization architecture (standalone node builds + FastAPI).
• PWA and Backend fully persistent via mapped /data and /logs.
• Next Steps were: Testing AI flow in production mode.

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[Archived: 2026-04-11] Status: UI Readability Refactor Completed (v1.2.2). Ready for Phase 6. Current AI Agent: Gemini (Antigravity) Context:

• UI Readability: System-wide removal of uppercase and tracking-*. Font sizes increased from 9px/10px to xs/sm. Title Case applied to major buttons.
• Rules Compliance: All changes logged in ARCHIVE_LOGS.md and VERSION.json.
• Git: Working on branch dev. Path persisted in .git_path.

Next Steps:

1. Proceed to Phase 6: Audit Log Dashboard UI. The backend already has Log models, but the frontend needs a more comprehensive view beyond the current "Audit History" modal if requested, OR finalize the existing ones.
2. Enable LDAP and test with real server (from v1.2.1 goals).
3. Deploy v1.2.2 to stable branch if user confirms.

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Handover Archive (Auto-Archived)

Status: v1.2.1 Infrastructure Stable. Current AI Agent: Gemini (Antigravity) Context:

• Git: Permanent solution implemented via .git_path. All agents MUST use this path.
• Branching: Repo follows master (stable), dev (active), vX (archives). Currently on branch dev.
• UI: Versioning is now fully dynamic from VERSION.json.
• LDAP: Framework live in users.py, fallback active, config set to disabled.

Next Steps:

1. Enable LDAP and test with real server.
2. Proceed to Phase 6: Audit Log Dashboard UI.

2026-04-10 (v1.2.0)

• Implemented Structured Categories (Group-based) and Item Types.
• Finalized Local Authentication with PBKDF2 (Mac/Python 3.14 compatible).
• Added LDAP Authentication Framework (disabled by default in ldap_config.json).
• Fixed audit log schema (UUID and Details).
• Updated documentation and bumped version to 1.2.0.

AI Session State - HANDOVER

Status: Phase 4 Completed. Frontend connected and Offline Scanning implemented. Current AI Agent: Gemini (Antigravity) Context:

• Backend: Updated with bulk-sync endpoint in operations.py and supporting schemas in schemas.py.
• Frontend:
  • Integrated Dexie for IndexedDB offline storage (lib/db.ts).
  • Implemented Axios client with bulk-sync support (lib/api.ts).
  • Created offline-ready Scanner component using html5-qrcode.
  • Implemented automatic/manual synchronization logic (lib/sync.ts).
  • Main dashboard (app/page.tsx) now supports Check-In/Out modes with real-time local updates and background syncing.
  • PWA configured with next-pwa and manifest.

Technical Notes:

• Routine operations are saved to pendingOperations table when offline.
• Inventory catalog is cached locally in items table.
• Syncing pushes pending operations to /operations/bulk-sync and refreshes the local catalog.
• Mobile users can install the app via "Add to Home Screen" (manifest.json ready).

Next Steps:

1. Implement Phase 5: Gemini AI Vision Integration for New Item Onboarding.
2. Build the "History / Audit" view in the frontend.
3. Add "Trash/Discard" logic to the frontend UI.