🎯 Objective
Ensure the newly calculated Class-level risk vectors are successfully persisted in the data translation layer.
🛠️ Implementation
record_keeper.py: Update the class_data table schema to include the 14 relevant metrics from RISK_SCHEMA (currently it only holds basic physics like method_count, state_entanglement, and lcom_score).
gpu_recorder.py & audit_recorder.py: Ensure the classes array inside the file payload retains its calculated risk vectors so the WebGL UI and forensic JSON can render them accurately.
🎯 Objective
Ensure the newly calculated Class-level risk vectors are successfully persisted in the data translation layer.
🛠️ Implementation
record_keeper.py: Update theclass_datatable schema to include the 14 relevant metrics fromRISK_SCHEMA(currently it only holds basic physics likemethod_count,state_entanglement, andlcom_score).gpu_recorder.py&audit_recorder.py: Ensure theclassesarray inside the file payload retains its calculated risk vectors so the WebGL UI and forensic JSON can render them accurately.