CONSOLIDATION

From Fragments to Architecture

Fragmented

SQLite databases: ~15 scattered files
Data access: String interpolation
Security risks: SQL injection vulnerable
Scripts showing: Zero data (empty files)
Architecture: Reactive debugging
→

Unified

PostgreSQL tables: 171 unified schema
Data access: Parameterized queries
Security: Injection-proof API layer
Scripts showing: Real data (59 drives, 94 sessions)
Architecture: Systematic mastery

Database Consolidation

Migrated 137 priority alerts, 4957 neuroception scans, and all supporting data from scattered SQLite files to unified PostgreSQL architecture.

API Standardization

Created vision_api.py with unified access patterns, replacing CLI calls with structured function calls and proper error handling.

Security Hardening

Eliminated SQL injection risks through parameterized queries and comprehensive input validation across all data access layers.

Legacy Cleanup

Archived empty SQLite files, updated external integrations, and verified DevOps scripts follow secure patterns.

"The existence of multiple, disparate SQLite databases... creates a fragmented data landscape. This is the single largest liability."
— Architecture Analysis
85%
Architecture Recommendations Implemented
The Vision system has been transformed:
fragmented → unified | reactive → systematic | functional → masterful