| """ |
| AI middleware — routes quantum-simulator telemetry through the same |
| NaN/Inf-safe vector-healing shield used standalone on the Vector Healing |
| page (ia_utils.vector_healing.enhanced_dense_healing_hybrid), so it's real |
| shared infrastructure rather than two disconnected demos. |
| |
| Only DataFrames with a genuine (n_steps, hidden_dim) shape make sense here — |
| VQE telemetry (6 columns) and MD telemetry (8 columns) both qualify; a |
| statevector's flat probability array (2**n_qubits) does not. |
| """ |
|
|
| import pandas as pd |
|
|
| from ia_utils.vector_healing import enhanced_dense_healing_hybrid |
| from ui_pages.components import AI_SHIELD_NEUTRAL_META |
|
|
|
|
| def heal_telemetry(df: pd.DataFrame): |
| """Runs `df` through enhanced_dense_healing_hybrid and returns |
| (healed_df, metadata). Empty/None input passes through with a neutral |
| metadata dict (no NaN-safety claim to make about zero rows).""" |
| if df is None or df.empty: |
| return (df if df is not None else pd.DataFrame()), dict(AI_SHIELD_NEUTRAL_META) |
|
|
| healed_values, metadata = enhanced_dense_healing_hybrid(df.to_numpy(dtype=float)) |
| healed_df = pd.DataFrame(healed_values, columns=df.columns, index=df.index) |
| return healed_df, metadata |
|
|
