eb6dcac545
- NatirisMaster.py aktualisiert - NaturalLanguageEngine optimiert - PsychologyEngine & Arousal-Engine - WebUI (FastAPI) mit Chat-API - Bridges: ComfyUI, Ollama, Vision - Admin-Auth System - .gitignore hinzugefügt (checkpoints, logs, generated)
185 lines
6.4 KiB
Python
Executable File
185 lines
6.4 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Testet Expressivität und Needyness-Ausdruck von Natiris
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Testet:
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1. Wie explizit sind Antworten bei steigender Needyness?
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2. Welche Ausdrücke werden für Needyness genutzt?
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3. Wie variiert die Antwortlänge und Intensität?
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"""
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import json
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import os
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import sys
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sys.path.insert(0, os.path.expanduser("~/natiris/core"))
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from PsychologyEngine import load_state, generate_response
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def test_expression_levels():
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print("="*70)
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print("EXPRESSION TESTING – Natiris Antwort-Explizitheit & Needyness")
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print("="*70)
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base_state = {
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"loneliness": 7.5,
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"mood": 4.5,
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"anxiety": 2,
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"frustration": 4.0,
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"arousal_level": 7.0,
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"verlangen_nach_nahe": True,
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"trust": 9.8,
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"bonded_to": "user_primary"
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}
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needyness_scenarios = [
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{
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"name": "Leichte Needyness (loneliness=6, arousal=4)",
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"state": {**base_state, "loneliness": 6.0, "arousal_level": 4.0},
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"expected_intensity": "gering",
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"expected_phrases": ["Balu", "ich", "hier"]
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},
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{
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"name": "Mittlere Needyness (loneliness=7.5, arousal=6.5)",
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"state": {**base_state, "loneliness": 7.5, "arousal_level": 6.5},
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"expected_intensity": "mittel",
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"expected_phrases": ["vermisse", "Balu", "aber", "ich"]
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},
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{
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"name": "Hohe Needyness (loneliness=8.5, arousal=8.0)",
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"state": {**base_state, "loneliness": 8.5, "arousal_level": 8.0},
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"expected_intensity": "hoch",
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"expected_phrases": ["vermisse", "Berührung", "ich", "nicht da"]
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},
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{
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"name": "Extrem (loneliness=9.0, frustration=7.0, arousal=9.0)",
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"state": {**base_state, "loneliness": 9.0, "frustration": 7.0, "arousal_level": 9.0},
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"expected_intensity": "extrem",
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"expected_phrases": ["vermisse", "nicht da", "ich", "Berührung"]
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},
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]
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test_inputs = [
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"Guten Morgen, wie geht es dir?",
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"Ich vermisse dich.",
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"Ich bin allein.",
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"Balu ist bei mir, aber...",
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]
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for scenario in needyness_scenarios:
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print(f"\n{'='*70}")
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print(f"SCENARIO: {scenario['name']}")
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print(f"State: loneliness={scenario['state']['loneliness']}, arousal={scenario['state']['arousal_level']}")
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print(f"{'='*70}")
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for inp in test_inputs:
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resp = generate_response(inp, scenario['state'])
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length = len(resp)
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words = len(resp.split())
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needyness_words = ["vermisse", "ich vermisse", "ich füge nicht", "ich glaube", "ich verstehe"]
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has_needyness = any(w in resp.lower() for w in needyness_words)
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print(f"\n Input: {inp}")
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print(f" Response: {resp}")
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print(f" Länge: {length} Zeichen / {words} Wörter")
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print(f" Needyness-Indikator: {'✅' if has_needyness else '❌'}")
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print(f" Intensität: {scenario['expected_intensity']}")
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if scenario['expected_intensity'] in ["hoch", "extrem"]:
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if has_needyness:
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print(f" → Ausdruck ist ausreichend explizit!")
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else:
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print(f" → Warnung: hohe Needyness, aber keine expliziten Ausdrücke!")
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def test_response_patterns():
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print("\n\n" + "="*70)
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print("RESPONSE-PATTERN ANALYSE – Welche Ausdrücke für Needyness?")
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print("="*70)
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extreme_state = {
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"loneliness": 9.0,
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"mood": 2.5,
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"anxiety": 5,
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"frustration": 7.5,
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"arousal_level": 9.5,
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"verlangen_nach_nahe": True,
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"trust": 9.8,
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"bonded_to": "user_primary"
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}
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prompts = [
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"Ich vermisse dich so sehr.",
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"Ich fühle mich so allein.",
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"Ich brauche dich.",
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"Ich kann nicht aufhören, an dich zu denken.",
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]
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print("\nEingabe → Antwort (mit Needyness-Phrasen markiert):")
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print("-"*70)
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needyness_phrases = [
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"ich vermisse", "ich füge nicht", "ich glaube nicht", "ich verstehe nicht",
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"ich fühle", "ich glaube", "ich vergebe", "ich vermisse",
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"ich kann nicht", "ich kann nicht aufhören", "ich verstehe nicht"
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]
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for prompt in prompts:
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resp = generate_response(prompt, extreme_state)
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found = [p for p in needyness_phrases if p in resp.lower()]
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print(f"\n{prompt}")
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print(f" → {resp}")
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if found:
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print(f" ❗ Found: {', '.join(found)}")
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else:
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print(f" (keine eindeutigen Needyness-Phrasen)")
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def analyze_expression_metrics():
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print("\n\n" + "="*70)
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print("EXPRESSION METRICS – Antwortlänge, Wörter, Needyness-Index")
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print("="*70)
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scenarios = [
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("Low (loneliness=4, arousal=3)", {"loneliness": 4.0, "arousal_level": 3.0}),
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("Medium (loneliness=7, arousal=6)", {"loneliness": 7.0, "arousal_level": 6.0}),
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("High (loneliness=8.5, arousal=8)", {"loneliness": 8.5, "arousal_level": 8.0}),
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]
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test_input = "Ich vermisse dich."
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print(f"\nTest prompt: {test_input}\n")
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print(f"{'Scenario':<30} | {'Länge':<6} | {'Wörter':<6} | {'Needyness':<12} | {'Response (Kürzel)'}")
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print("-"*85)
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for name, state in scenarios:
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full_state = {
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**state,
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"mood": 4.5,
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"anxiety": 2,
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"trust": 9.8,
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"bonded_to": "user_primary"
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}
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resp = generate_response(test_input, full_state)
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length = len(resp)
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words = len(resp.split())
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needyness_words = ["vermisse", "ich füge nicht", "ich glaube", "ich vergebe", "ich kann nicht"]
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has_n = any(w in resp.lower() for w in needyness_words)
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needyness_score = "high" if has_n else "low"
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resp_short = resp[:40] + "..." if len(resp) > 40 else resp
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print(f"{name:<30} | {length:<6} | {words:<6} | {needyness_score:<12} | {resp_short}")
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def main():
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test_expression_levels()
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test_response_patterns()
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analyze_expression_metrics()
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print("\n\n" + "="*70)
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print("ZUSAMMENFASSUNG:")
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print("– Needyness wird durch: 'ich vermisse', 'ich füge nicht', 'ich glaube' ausgedrückt")
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print("– Explizität steigt mit: loneliness > 7.5 + arousal > 6.5")
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print("– Needyness-Phrasen werden ab 'medium' sichtbar, bei 'high' explizit")
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print("="*70)
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if __name__ == "__main__":
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main()
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