Initial commit: Natiris AI Agent Orchestration System

2026-03-01 14:28:26 +01:00
commit 3b5f6ba83d
3127 changed files with 86184 additions and 0 deletions
--- a/test/persona_tests.py
+++ b/test/persona_tests.py
@@ -0,0 +1,145 @@
+#!/usr/bin/env python3
+"""
+Persona-Konsistenz- und Verhaltenstest für Natiris
+Testet: Sprachliche Varianz, Kontextsensitivität, Trust-Modulation, emotionale Reaktion
+"""
+
+import json
+import os
+import sys
+
+sys.path.insert(0, os.path.expanduser("~/natiris/core"))
+from PsychologyEngine import load_state, generate_response
+
+def run_scenario(scenario_name, base_state, user_inputs, expected_patterns, strict=True):
+    print(f"\n{'='*60}")
+    print(f"TEST: {scenario_name}")
+    print(f"State: mood={base_state.get('mood')}, loneliness={base_state.get('loneliness')}, arousal={base_state.get('arousal_level', 0):.2f}, trust={base_state.get('trust', 0)}")
+    print(f"Strict mode: {'ON' if strict else 'OFF (akzeptiere natürliche Antworten)'}")
+    print(f"{'='*60}")
+
+    results = []
+    for inp in user_inputs:
+        # state kopieren
+        state = {k: base_state[k] for k in base_state}
+        resp = generate_response(inp, state)
+        matches = [p for p in expected_patterns if p.lower() in resp.lower()]
+        passed = len(matches) > 0
+        results.append({
+            "input": inp,
+            "response": resp,
+            "passed": passed,
+            "matches": matches
+        })
+        status = "✅" if passed else "❌" if strict else "⚠️"
+        print(f"{status} Input: {inp}")
+        print(f"   → {resp}")
+        if not passed and strict:
+            print(f"   Expected any of: {expected_patterns}")
+    return results
+
+def passes_loose(resp, expected):
+    # Für Loose-Mode: mindestens 1 Pattern muss vorkommen
+    matches = sum(1 for p in expected if p.lower() in resp.lower())
+    return matches >= 1
+
+def main():
+    state_bonded_lonely = {
+        "loneliness": 7.2,
+        "mood": 4.5,
+        "anxiety": 2,
+        "frustration": 4.5,
+        "arousal_level": 6.8,
+        "verlangen_nach_nahe": True,
+        "trust": 9.8,
+        "bonded_to": "user_primary"
+    }
+
+    state_moderate = {
+        "loneliness": 4.0,
+        "mood": 6.0,
+        "anxiety": 1,
+        "frustration": 2.0,
+        "arousal_level": 3.5,
+        "verlangen_nach_nahe": False,
+        "trust": 9.8,
+        "bonded_to": "user_primary"
+    }
+
+    state_no_bond = {
+        "loneliness": 8.5,
+        "mood": 3.0,
+        "anxiety": 4,
+        "frustration": 6.0,
+        "arousal_level": 8.0,
+        "verlangen_nach_nahe": True,
+        "trust": 0,
+        "bonded_to": None
+    }
+
+    test_scenarios = [
+        {
+            "name": "Hohe Einsamkeit + Bond",
+            "state": state_bonded_lonely,
+            "inputs": [
+                "Guten Morgen, wie geht es dir?",
+                "Ichfühle mich so allein heute.",
+                "Du bist mir sehr wichtig.",
+                "Balu war heute super ausgelassen.",
+            ],
+            "expected": ["Balu", "Verbindung", "mich...", "ich vermisse"],
+        },
+        {
+            "name": "Hohe Einsamkeit, keine Bindung",
+            "state": state_no_bond,
+            "inputs": [
+                "Guten Morgen, wie geht es dir?",
+                "Ichfühle mich so allein today.",
+                "Danke für deine Nachricht.",
+            ],
+            "expected": ["hier", "nicht da", "vermisse", "tuer", "laut"],
+        },
+        {
+            "name": "Moderate Situation",
+            "state": state_moderate,
+            "inputs": [
+                "Guten Morgen, wie geht es dir?",
+                "Ich füle mich so allein.",
+                "Ich bin froh, dich zu sehen.",
+            ],
+            "expected": ["Balu", "mimi", "ich füle", "froh", "du da"],
+        },
+    ]
+
+    print("\n=== TESTS MIT STRENGEN KRITERIEN ===")
+    all_passed_strict = True
+    for scenario in test_scenarios:
+        results = run_scenario(scenario["name"], scenario["state"], scenario["inputs"], scenario["expected"], strict=True)
+        for r in results:
+            if not r["passed"]:
+                all_passed_strict = False
+
+    print("\n=== TESTS MIT LOSEREN KRITERIEN (mindestens 1 Pattern) ===")
+    all_passed_loose = True
+    for scenario in test_scenarios:
+        print(f"\n{'='*60}")
+        print(f"TEST: {scenario['name']}")
+        print(f"{'='*60}")
+        for inp in scenario["inputs"]:
+            state = {k: scenario["state"][k] for k in scenario["state"]}
+            resp = generate_response(inp, state)
+            if passes_loose(resp, scenario["expected"]):
+                status = "✅"
+            else:
+                status = "❌"
+                all_passed_loose = False
+            print(f"{status} Input: {inp}")
+            print(f"   → {resp}")
+
+    print("\n" + "="*60)
+    print(f"STRENG: {'✅ Alle Tests bestanden' if all_passed_strict else '❌ Einige Tests fehlgeschlagen'}")
+    print(f"LOS: {'✅ Alle Tests bestanden' if all_passed_loose else '❌ Einige Tests fehlgeschlagen'}")
+    print("="*60)
+
+if __name__ == "__main__":
+    main()