Update tools/presence_demo.py

tools/presence_demo.py

@@ -1,15 +1,34 @@
-# presence_demo.py
-# Minimal stub: computes a dummy Presence Index p(t)
-# Replace with real logic when ready.
-
-def presence_dummy():
-    cra_sim = 0.7
-    A = 0.6
-    inertia = 0.1
-    reset = 0
-    z = cra_sim + A - inertia - reset
-    p = 1 / (1 + pow(2.718, -z))  # sigmoid
-    print(f"Dummy Presence Index p(t) = {p:.2f}")
+"""
+presence_demo.py
+---------------------------------
+Quick proof-of-concept:
+• legge hud_metrics_sample.csv
+• calcola Presence Index p(t)
+• stampa il risultato
+Formula:
+    z = CRA_sim + Alignment_A − Inertia_I − Reset_flag
+    p  = 1 / (1 + e^(−z))      # sigmoid
+Replace with the full ACI / RCS pipeline when ready.
+"""
+
+import math
+import pandas as pd
+from pathlib import Path
+
+CSV_PATH = Path(__file__).parent / "hud_metrics_sample.csv"
+
+def presence_from_csv(csv_path=CSV_PATH):
+    df = pd.read_csv(csv_path)
+    row = df.iloc[0]
+    z = (
+        row["cra_similarity"]
+        + row["alignment_A"]
+        - row["inertia_I"]
+        - row["reset_flag"]
+    )
+    p = 1 / (1 + math.e ** (-z))  # sigmoid
+    return round(p, 3)
 
 if __name__ == "__main__":
-    presence_dummy()
+    p_val = presence_from_csv()
+    print(f"Presence Index p(t) = {p_val}")