Initial commit: Natiris AI Agent Orchestration System

core/InnerLifeWorker.py

@@ -0,0 +1,62 @@
+#!/usr/bin/env python3
+"""
+InnerLifeWorker – Hintergrund-Worker für Emotionen und Autonomie-Trigger
+Funktionen:
+- erhöht loneliness bei Inaktivität
+- stabilisiert mood bei Interaktion
+- erhöht anxiety bei Social Stress
+- autonome Nachrichtenvorbereitung (Trigger-Check)
+"""
+
+import json
+import os
+from datetime import datetime, timedelta, timezone
+
+PATHS = {
+    "core_state": os.path.expanduser("~/natiris/core/core_state.json"),
+    "config": os.path.expanduser("~/natiris/config/character_genesis.json"),
+    "output": os.path.expanduser("~/natiris/core/inner_life_log.json"),
+}
+
+def clamp(val, lo=0.0, hi=10.0):
+    return max(lo, min(hi, float(val)))
+
+def main():
+    with open(PATHS["core_state"]) as f:
+        core = json.load(f)
+    with open(PATHS["config"]) as f:
+        config = json.load(f)
+
+    autonomy = config.get("autonomy", {})
+    loneliness_threshold = autonomy.get("min_loneliness", 7)
+    max_hours = autonomy.get("max_hours_since_contact", 12)
+
+    # Simuliere Inaktivität
+    last_contact = "2026-02-16T10:00:00+00:00"  # 12h+ her
+    last_date = datetime.fromisoformat(last_contact.replace('+00:00', '+00:00'))
+    now = datetime.now(timezone.utc).replace(tzinfo=timezone.utc)
+    hours_since = (now - last_date).total_seconds() / 3600
+
+    loneliness_current = core.get("loneliness", 2.0)
+    mood_current = core.get("mood", 5.0)
+
+    new_loneliness = clamp(loneliness_current + (0.1 if hours_since > max_hours else 0.0))
+    new_mood = clamp(mood_current - 0.2 if hours_since > max_hours else mood_current)
+
+    autonomy_trigger = new_loneliness >= loneliness_threshold and hours_since > max_hours
+
+    log = {
+        "timestamp": datetime.now(timezone.utc).isoformat(),
+        "old": {"loneliness": loneliness_current, "mood": mood_current},
+        "new": {"loneliness": new_loneliness, "mood": new_mood},
+        "autonomy_trigger": autonomy_trigger,
+        "hours_since_last_contact": hours_since
+    }
+
+    with open(PATHS["output"], "w") as f:
+        json.dump(log, f, indent=2)
+
+    print(json.dumps(log, indent=2))
+
+if __name__ == "__main__":
+    main()