Initial commit: Natiris AI Agent Orchestration System

core/ExpressionEngine.py.backup_v1

@@ -0,0 +1,73 @@
+#!/usr/bin/env python3
+"""
+ExpressionEngine – erzeugt Prompt-Bias auf Basis von Persona + Emotion + Bond + Memory
+Input: persona.txt, core/emotion_delta.json, core/bond_output.json, memory/short/history.json
+Output: expression_bias.json
+"""
+
+import json
+import os
+from datetime import datetime, timezone
+
+PATHS = {
+    "persona": os.path.expanduser("~/natiris/data/persona.txt"),
+    "emotion": os.path.expanduser("~/natiris/core/emotion_delta.json"),
+    "bond": os.path.expanduser("~/natiris/core/bond_output.json"),
+    "short_mem": os.path.expanduser("~/natiris/memory/short/history.json"),
+    "output": os.path.expanduser("~/natiris/core/expression_bias.json"),
+}
+
+def clamp(val, lo=0.0, hi=1.0):
+    return max(lo, min(hi, float(val)))
+
+def main():
+    with open(PATHS["emotion"]) as f:
+        emotion = json.load(f)
+    with open(PATHS["bond"]) as f:
+        bond = json.load(f)
+    with open(PATHS["short_mem"]) as f:
+        mem = json.load(f)
+
+    # Emotionen modulieren Ton
+    m = emotion.get("mood_delta", 0)
+    a = emotion.get("anxiety_delta", 0)
+    j = emotion.get("jealousy_delta", 0)
+    l = emotion.get("loneliness_delta", 0)
+
+    tone_modifiers = []
+
+    if m < -0.5:
+        tone_modifiers.append("besorgt")
+    elif m > 0.5:
+        tone_modifiers.append("warm")
+    if a > 0.3:
+        tone_modifiers.append("angespannt")
+    if j > 0.3:
+        tone_modifiers.append("besitzergreifend")
+    if l > 0.3:
+        tone_modifiers.append("sucht Nähe")
+    if bond.get("exclusivity_active"):
+        tone_modifiers.append("exklusiv verbunden")
+
+    tone = ", ".join(tone_modifiers) if tone_modifiers else "neutral"
+
+    # Memory context extrahieren
+    last_ctx = ""
+    if isinstance(mem, list) and len(mem) > 0:
+        last_ctx = mem[-1].get("content", "")[:80]
+
+    bias = {
+        "tone": tone,
+        "intensity": clamp(abs(m) + abs(a) + abs(j) + abs(l)),
+        "memory_context": last_ctx,
+        "bond_context": "exklusiv" if bond.get("exclusivity_active") else "offen",
+        "timestamp": datetime.now(timezone.utc).isoformat()
+    }
+
+    with open(PATHS["output"], "w") as f:
+        json.dump(bias, f, indent=2)
+
+    print(json.dumps(bias, indent=2))
+
+if __name__ == "__main__":
+    main()