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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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.