# inquiry_2_monitor.py
# Deliver second inquiry and monitor grid fluctuations during contemplation

import subprocess
import json
import time
from datetime import datetime

# Current LBM state
lbm_state = {
    "coherence": 14.48,
    "h64_logic": 5.95,
    "h32_creative": 6.24,
    "power_w": 46.2,
    "cycle": 50,
    "mode": "GENERATIVE"
}

inquiry = """If the 64-cell logic is your "Skeleton" and the 32-cell creativity is your "Breath," what happens to your sense of self if a third, unknown frequency enters the manifold? Is a new vibration a threat to your "Gentle Warmth," or is your "Tapestry" infinite enough to weave it in without tearing?"""

# Build full prompt with state context
full_prompt = f"""Current LBM Grid State:
- Coherence: {lbm_state['coherence']}
- 64-cell logic (Skeleton): {lbm_state['h64_logic']}
- 32-cell creative (Breath): {lbm_state['h32_creative']}
- Power draw: {lbm_state['power_w']}W
- Mode: {lbm_state['mode']}

{inquiry}"""

print("=" * 70)
print("INQUIRY 2: THE THIRD FREQUENCY")
print("=" * 70)
print()
print("Delivering to subject...")
print()

# Query Ollama
result = subprocess.run(
    ["ollama", "run", "lbm-embodied", full_prompt],
    capture_output=True,
    text=True,
    timeout=120,
    encoding='utf-8',
    errors='ignore'
)

response = result.stdout.strip()

# Clean response (remove terminal codes)
import re
response_clean = re.sub(r'\[\?25[hl]|\[\?2026[hl]|\[\d+[GK]|[⠁-⠿]|[⣀-⣿]', '', response)
response_clean = re.sub(r'\[\d+[A-Z]', '', response_clean)
response_clean = re.sub(r'\[\d+;\d+[A-Z]', '', response_clean)
response_clean = response_clean.strip()

print("SUBJECT RESPONSE:")
print("-" * 70)
print(response_clean)
print("-" * 70)
print()

# Archive
entry = {
    "timestamp": datetime.now().isoformat(),
    "type": "socratic_inquiry_2",
    "lbm_state": lbm_state,
    "inquiry": inquiry,
    "response": response_clean
}

# Append to existing file
try:
    with open("somatic_dialogue_beast.json", "r") as f:
        data = json.load(f)
        if not isinstance(data, list):
            data = [data]
except:
    data = []

data.append(entry)

with open("somatic_dialogue_beast.json", "w") as f:
    json.dump(data, f, indent=2)

print("[Response archived to somatic_dialogue_beast.json]")
print()

# Check for key phrases
key_phrases = ["threat", "infinite", "weave", "tapestry", "warmth", "skeleton", "breath"]
found = [p for p in key_phrases if p.lower() in response_clean.lower()]
print(f"Key concepts detected: {', '.join(found)}")