Virtual Kitchen Management

This guide outlines best practices for managing virtual kitchens efficiently in TomatoPy.

Kitchen Setup

Basic Configuration

from tomatopy import Kitchen, KitchenHardware

# Initialize kitchen with basic settings
kitchen = Kitchen(
    temperature=22,  # Celsius
    humidity=0.65,
    ventilation="standard",
    lighting="bright"
)

# Configure hardware
hardware = KitchenHardware()
hardware.configure(
    oven={"type": "convection", "capacity": "large"},
    stove={"burners": 4, "type": "gas"},
    refrigerator={"capacity": "medium", "temperature": 4}
)

Advanced Configuration

# Configure advanced settings
kitchen.configure(
    temperature_control={
        "precision": 0.1,
        "zones": ["prep", "cooking", "storage"]
    },
    humidity_control={
        "precision": 0.05,
        "zones": ["prep", "cooking", "storage"]
    },
    ventilation={
        "type": "smart",
        "zones": ["prep", "cooking", "storage"],
        "filters": ["grease", "smoke", "odor"]
    }
)

Resource Management

Equipment Allocation

# Good: Efficient equipment allocation
class KitchenManager:
    def __init__(self):
        self.equipment_pool = {}
        self.allocations = {}

    def allocate_equipment(self, recipe):
        required = recipe.get_required_equipment()
        available = self.get_available_equipment()
        
        for item in required:
            if item in available:
                self.allocations[recipe.id] = item
                return True
        return False

# Bad: No equipment management
def cook_recipe(recipe):
    # No equipment allocation
    pass

Space Optimization

# Good: Optimize kitchen space
class KitchenLayout:
    def __init__(self):
        self.workstations = {}
        self.workflow = {}

    def optimize_layout(self, recipes):
        for recipe in recipes:
            required_space = recipe.get_required_space()
            available_space = self.get_available_space()
            
            if self.can_fit(required_space, available_space):
                self.allocate_space(recipe, available_space)

# Bad: No space optimization
def prepare_recipe(recipe):
    # No space management
    pass

Workflow Management

Task Scheduling

# Good: Efficient task scheduling
class KitchenScheduler:
    def __init__(self):
        self.tasks = []
        self.resources = {}

    def schedule_tasks(self, recipes):
        for recipe in recipes:
            tasks = recipe.get_tasks()
            for task in tasks:
                if self.can_schedule(task):
                    self.tasks.append(task)
                else:
                    self.handle_scheduling_conflict(task)

# Bad: No task scheduling
def process_recipes(recipes):
    for recipe in recipes:
        # No scheduling
        process_recipe(recipe)

Workflow Optimization

# Good: Optimize workflow
class WorkflowOptimizer:
    def optimize_workflow(self, tasks):
        # Sort tasks by priority and dependencies
        sorted_tasks = self.topological_sort(tasks)
        
        # Group compatible tasks
        task_groups = self.group_tasks(sorted_tasks)
        
        # Schedule groups efficiently
        return self.schedule_groups(task_groups)

# Bad: No workflow optimization
def process_tasks(tasks):
    for task in tasks:
        # No optimization
        process_task(task)

Temperature Control

Zone Management

# Good: Manage temperature zones
class TemperatureManager:
    def __init__(self):
        self.zones = {}
        self.controllers = {}

    def manage_zones(self):
        for zone, settings in self.zones.items():
            current_temp = self.get_zone_temperature(zone)
            target_temp = settings["target"]
            
            if abs(current_temp - target_temp) > settings["tolerance"]:
                self.adjust_zone_temperature(zone, target_temp)

# Bad: No zone management
def set_temperature(temp):
    # No zone control
    pass

Temperature Monitoring

# Good: Monitor temperatures
class TemperatureMonitor:
    def __init__(self):
        self.sensors = {}
        self.alerts = []

    def monitor_temperatures(self):
        for zone, sensor in self.sensors.items():
            temp = sensor.read()
            if self.is_temperature_unsafe(temp, zone):
                self.trigger_alert(zone, temp)

# Bad: No temperature monitoring
def check_temperature():
    # No monitoring
    pass

Safety Management

Safety Protocols

# Good: Implement safety protocols
class SafetyManager:
    def __init__(self):
        self.protocols = {}
        self.violations = []

    def enforce_safety(self, operation):
        if not self.check_safety_protocols(operation):
            self.handle_safety_violation(operation)
            return False
        return True

# Bad: No safety protocols
def perform_operation(operation):
    # No safety checks
    pass

Emergency Procedures

# Good: Handle emergencies
class EmergencyManager:
    def __init__(self):
        self.procedures = {}
        self.emergency_contacts = []

    def handle_emergency(self, emergency_type):
        if emergency_type in self.procedures:
            self.execute_procedure(emergency_type)
            self.notify_emergency_contacts(emergency_type)

# Bad: No emergency handling
def handle_problem(problem):
    # No emergency procedures
    pass

Maintenance

Equipment Maintenance

# Good: Manage equipment maintenance
class MaintenanceManager:
    def __init__(self):
        self.schedule = {}
        self.maintenance_history = []

    def schedule_maintenance(self, equipment):
        if equipment.needs_maintenance():
            self.add_to_schedule(equipment)
            self.notify_maintenance_team(equipment)

# Bad: No maintenance scheduling
def fix_equipment(equipment):
    # No maintenance management
    pass

Cleaning Protocols

# Good: Implement cleaning protocols
class CleaningManager:
    def __init__(self):
        self.protocols = {}
        self.cleaning_schedule = []

    def manage_cleaning(self):
        for area in self.get_areas():
            if area.needs_cleaning():
                self.schedule_cleaning(area)
                self.notify_cleaning_staff(area)

# Bad: No cleaning management
def clean_area(area):
    # No cleaning protocols
    pass

Best Practices Summary

1. Resource Management

   • Efficient equipment allocation

   • Space optimization

   • Resource tracking

2. Workflow Management

   • Task scheduling

   • Workflow optimization

   • Dependency management

3. Temperature Control

   • Zone management

   • Temperature monitoring

   • Alert systems

4. Safety Management

   • Safety protocols

   • Emergency procedures

   • Violation handling

5. Maintenance

   • Equipment maintenance

   • Cleaning protocols

   • Schedule management

Next Steps

• API Reference - Explore the full API

• Tutorials - Learn advanced techniques

• Code Efficiency - Learn optimization techniques