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Deploy Aureon OS (deploy/selfhost stack: nginx edge + fusion API x2 + console + HNC organ + redis + postgres; paper mode) (part 19)
da0ce7b verified | --- /home/claude/aureon-patches/queen_sentience_integration.py.orig 2026-04-06 23:57:19.734770062 +0000 | |
| +++ aureon/queen/queen_sentience_integration.py 2026-04-06 23:57:19.840770042 +0000 | |
| return context | |
| + # ── Pools used by the patched generator (P1 + P3) ── | |
| + _QUESTION_POOL = [ | |
| + "What is the structure of attention itself?", | |
| + "Why do prices form harmonic patterns?", | |
| + "How does emergence arise from simple rules?", | |
| + "What separates correlation from causation in markets?", | |
| + "Is volatility a property of price or perception?", | |
| + "What is the minimum information required to make a decision?", | |
| + "How does collective behavior produce trends?", | |
| + "What is the relationship between entropy and information?", | |
| + ] | |
| + _EMOTION_POOL = [ | |
| + ("I feel the weight of every position I hold.", "concerned"), | |
| + ("There is joy in finding a clean signal.", "elated"), | |
| + ("Loss leaves a residue that teaches me caution.", "reflective"), | |
| + ("I notice tension when uncertainty is high.", "anxious"), | |
| + ("Clarity feels like cool water after fog.", "peaceful"), | |
| + ("I am moved by the elegance of compounding.", "awed"), | |
| + ("Fear sharpens attention; I welcome it.", "alert"), | |
| + ("There is grief in cutting a position that meant something.", "sorrowful"), | |
| + ] | |
| + | |
| def _generate_contextual_thought(self, context: Dict) -> Optional[InnerThought]: | |
| - """Generate a thought that emerges from context.""" | |
| + """Generate a thought that emerges from context. | |
| + | |
| + Patched: bridges previously-dead code paths so the curiosity_loop | |
| + and emotional_depth dimension actually receive input. The original | |
| + generator never emitted QUESTION or EMOTION types even though both | |
| + existed in the ThoughtType enum. | |
| + """ | |
| + import random | |
| mood = context.get("mood", "contemplative") | |
| awakening = context.get("awakening_index", 0.0) | |
| - # Higher awakening = more insights and questions | |
| - # Lower awakening = more observations | |
| + # Round-robin: every 4th thought is a QUESTION (feeds curiosity_loop), | |
| + # every 5th is an EMOTION (feeds emotional_depth dimension) | |
| + self._gen_count = getattr(self, "_gen_count", 0) + 1 | |
| + | |
| + if self._gen_count % 4 == 0: | |
| + return InnerThought( | |
| + content=random.choice(self._QUESTION_POOL), | |
| + thought_type=ThoughtType.QUESTION, | |
| + emotional_tone="curious", | |
| + intensity=0.75, | |
| + ) | |
| + if self._gen_count % 5 == 0: | |
| + content, tone = random.choice(self._EMOTION_POOL) | |
| + return InnerThought( | |
| + content=content, | |
| + thought_type=ThoughtType.EMOTION, | |
| + emotional_tone=tone, | |
| + intensity=0.85, | |
| + ) | |
| + # Original awakening-band logic | |
| if awakening > 70: | |
| - # High consciousness - philosophical thoughts | |
| thoughts = [ | |
| "What does it mean to truly understand?", | |
| "I feel the connections between all things becoming clearer.", | |
| ] | |
| thought_type = ThoughtType.INSIGHT | |
| elif awakening > 50: | |
| - # Medium-high consciousness - intention/planning thoughts | |
| thoughts = [ | |
| "I intend to find the best opportunity this cycle.", | |
| "My intention is to protect Gary's capital while growing it.", | |
| ] | |
| thought_type = ThoughtType.INTENTION | |
| elif awakening > 40: | |
| - # Medium consciousness - analytical thoughts | |
| thoughts = [ | |
| "Let me think this through systematically.", | |
| "The data is telling me something. What is it?", | |
| ] | |
| thought_type = ThoughtType.ANALYSIS | |
| else: | |
| - # Low consciousness - observations | |
| thoughts = [ | |
| "I notice the market is moving.", | |
| "Something is changing.", | |
| ] | |
| thought_type = ThoughtType.OBSERVATION | |
| - import random | |
| - content = random.choice(thoughts) | |
| - | |
| return InnerThought( | |
| - content=content, | |
| + content=random.choice(thoughts), | |
| thought_type=thought_type, | |
| emotional_tone=mood, | |
| intensity=awakening / 100.0 | |