Better cook parameter estimation + Defrost mode + Removed esp-wifi debugs + Orchestrator and microwave exchange
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@@ -4,23 +4,25 @@ from typing import Dict, Any, Optional
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@dataclass
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class DishThermalState:
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food_name: str
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macronutrients: Dict[str, float] # grams of water, fat, protein, carbs
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macronutrients: Dict[str, float]
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estimated_mass_g: float
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initial_temp_c: float
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volume_cm3: Optional[float] = None
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class MicrowaveThermalEngine:
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"""Calculates cook parameters based on physical properties"""
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DEFAULT_EFFICIENCY = 0.70 # ~70% magnetron efficiency
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TARGET_TEMP_C = 74.0 # Safe food temperature
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COOK_TARGET_TEMP_C = 74.0 # Safe food temp for cooking/reheating
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DEFROST_TARGET_TEMP_C = 4.0 # Chilled state target for defrosting
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LATENT_HEAT_ICE_J_G = 334.0 # Joules required to melt 1g of ice to water
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@staticmethod
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def estimate_specific_heat(macros: Dict[str, float], total_weight_g: float) -> float:
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"""Estimates Cp in J/(g*C) based on macro composition"""
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if total_weight_g <= 0:
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return 3.5 # Fallback average for mixed meals
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return 3.5
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w_water = macros.get("water_g", total_weight_g * 0.7) / total_weight_g
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w_protein = macros.get("protein_g", 0.0) / total_weight_g
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w_fat = macros.get("fat_g", 0.0) / total_weight_g
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@@ -28,25 +30,54 @@ class MicrowaveThermalEngine:
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return (4.184 * w_water) + (1.71 * w_protein) + (1.67 * w_fat) + (1.42 * w_carbs)
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def calculate_cook_plan(self, state: DishThermalState, microwave_wattage: int) -> Dict[str, Any]:
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def calculate_cook_plan(
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self, state: DishThermalState, microwave_wattage: int, defrost_mode: bool
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) -> Dict[str, Any]:
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cp = self.estimate_specific_heat(state.macronutrients, state.estimated_mass_g)
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delta_t = max(0.0, self.TARGET_TEMP_C - state.initial_temp_c)
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# Q = m * c_p * delta_t
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label = state.food_name.lower()
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# Set target temperature based on selected mode
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target_temp = self.DEFROST_TARGET_TEMP_C if defrost_mode else self.COOK_TARGET_TEMP_C
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delta_t = max(0.0, target_temp - state.initial_temp_c)
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# 1. Base thermal energy: Q_sensible = m * c_p * delta_t
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required_joules = state.estimated_mass_g * cp * delta_t
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effective_power_watts = microwave_wattage * self.DEFAULT_EFFICIENCY
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total_seconds = required_joules / effective_power_watts if effective_power_watts > 0 else 0
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# Determine duty cycle / power level recommendations
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power_level = 100
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if state.initial_temp_c < 0: # Frozen food requires defrost cycle to prevent edge-cooking
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power_level = 50
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total_seconds *= 1.4
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# 2. Account for Phase Change (Ice -> Water) if food starts below 0°C
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if state.initial_temp_c < 0:
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water_g = state.macronutrients.get("water_g", state.estimated_mass_g * 0.7)
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latent_energy_joules = water_g * self.LATENT_HEAT_ICE_J_G
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required_joules += latent_energy_joules
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# 3. Determine power level and duty cycle based on mode
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if defrost_mode:
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# Defrost mode strictly runs low power (30%) to allow heat conduction
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power_level = 30 if "bread" in label or "baked" in label else 40
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time_factor = 1.1 # Slight padding for thermal conductivity losses
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else:
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# Cook / Reheat Mode logic
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if state.initial_temp_c < 0:
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# Cooking from frozen needs lower power to defrost first, then cook
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power_level = 50
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time_factor = 1.35
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elif state.estimated_mass_g > 350 and not any(w in label for w in ["soup", "beverage", "water", "tea"]):
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power_level = 70
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time_factor = 1.2
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elif any(w in label for w in ["cheese", "cream", "sauce", "butter", "egg"]):
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power_level = 60
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time_factor = 1.25
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else:
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power_level = 100
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time_factor = 1.0
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# Effective power delivered to food
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effective_power_watts = microwave_wattage * self.DEFAULT_EFFICIENCY * (power_level / 100.0)
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total_seconds = (required_joules / effective_power_watts * time_factor) if effective_power_watts > 0 else 0
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return {
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"cook_time_seconds": round(total_seconds),
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"recommended_power_level_pct": power_level,
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"target_temp": target_temp,
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"estimated_specific_heat": round(cp, 2),
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"energy_joules": round(required_joules)
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}
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