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"""
SymbEngine System 

Bridging Symbolic Vision and Functional Architecture

Core Configuration & Simulation Engine Snippet
"""

class SafetyConfig:
   """The Safeguard Framework governing operational boundaries."""
   def __init__(self, max_complexity: float = 0.85, stimulation_level: float = 0.50):
       self.max_complexity = max_complexity
       self.stimulation_level = stimulation_level
       self.calm_protocol_active = False

   def apply_calm_protocol(self, threat_level: float) -> float:
       """Overrides high volatility for sensitive profiles or max threats."""
       if threat_level >= 1.0 or self.calm_protocol_active:
           self.stimulation_level = min(self.stimulation_level, 0.30)
           return self.stimulation_level
       return self.stimulation_level


class SymbEngineSimulator:
   """Translates symbolic intent into functional parameters and manages Digital Twin state."""
   def __init__(self, stability: float = 1.00, safety_config: SafetyConfig = None):
       self.stability = stability
       self.safety = safety or SafetyConfig()
       self.high_recovery_phase = False

   def process_telemetry(self, demand: float, threat: float) -> dict:
       """Simulates real-time load variance and updates resonance metrics."""
       # Adjust stability based on demand and threat inputs
       stability_drain = (demand * 0.4) + (threat * 0.3)
       self.stability = max(0.0, 1.0 - stability_drain)

       # Trigger High-Recovery Phase if stability drops below threshold (15%)
       if self.stability < 0.15:
           self.high_recovery_phase = True
       else:
           self.high_recovery_phase = False

       # Enforce safety constraints
       effective_stimulation = self.safety.apply_calm_protocol(threat)

       return {
           "stability_index": round(self.stability, 2),
           "high_recovery_phase": self.high_recovery_phase,
           "stimulation_level": effective_stimulation
       }

# --- Execution Example ---
if __name__ == "__main__":
   config = SafetyConfig(max_complexity=0.80, stimulation_level=0.40)
   engine = SymbEngineSimulator(stability=0.90, safety_config=config)
   
   # Simulating a high demand and threat scenario
   telemetry_output = engine.process_telemetry(demand=0.85, threat=0.90)
   print("SymbEngine Telemetry State:", telemetry_output)

SymbEngine System 

Bridging Symbolic Vision and Functional
Architecture Introduction to SymbEngine
SymbEngine represents the foundational interface layer of a new paradigm in systems
engineering. It is designed to orchestrate the emergence of actionable engineering
specifications from visionary poetic metaphors, efectively bridging the gap between abstract
human intent and high-fidelity operational logic. 

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