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Cooking Operations

The cooking operations module provides a comprehensive set of tools for simulating various cooking methods and processes in TomatoPy.

Kitchen Setup

Basic Kitchen Configuration

from tomatopy import Kitchen

# Initialize a kitchen
kitchen = Kitchen()

# Configure basic settings
kitchen.set_temperature(180)  # Celsius
kitchen.set_humidity(65)      # Percentage
kitchen.set_pressure(101.3)   # kPa (atmospheric pressure)

Advanced Kitchen Settings

# Configure advanced settings
kitchen.set_ventilation("high")
kitchen.set_lighting("bright")
kitchen.set_equipment({
    "stove": {"type": "gas", "burners": 4},
    "oven": {"type": "convection", "capacity": "large"},
    "blender": {"type": "high_speed", "capacity": "1.5L"}
})

Basic Cooking Methods

Simmering

# Simmer ingredients
sauce = kitchen.cook(
    tomato,
    method="simmer",
    temperature=100,
    duration="30m",
    stirring_frequency="occasional"
)

Boiling

# Boil ingredients
pasta = kitchen.cook(
    spaghetti,
    method="boil",
    temperature=100,
    duration="8m",
    salt_concentration=0.02  # 2% salt
)

Roasting

# Roast ingredients
roasted_tomatoes = kitchen.cook(
    tomatoes,
    method="roast",
    temperature=200,
    duration="45m",
    turning_frequency="every_15m"
)

Advanced Cooking Techniques

Pressure Cooking

# Pressure cook ingredients
beans = kitchen.cook(
    dried_beans,
    method="pressure_cook",
    pressure=103.4,  # kPa
    temperature=121,  # Celsius
    duration="30m"
)

Sous Vide

# Sous vide cooking
steak = kitchen.cook(
    beef,
    method="sous_vide",
    temperature=55,
    duration="2h",
    vacuum_sealed=True
)

Smoking

# Smoke ingredients
smoked_tomatoes = kitchen.cook(
    tomatoes,
    method="smoke",
    temperature=100,
    duration="4h",
    wood_type="hickory",
    smoke_intensity="medium"
)

Recipe Management

Creating Recipes

from tomatopy import Recipe

# Create a recipe
marinara = Recipe("Classic Marinara")
marinara.add_ingredient(tomato)
marinara.add_ingredient(garlic)
marinara.add_ingredient(basil)

# Set cooking parameters
marinara.set_cooking_method("simmer")
marinara.set_duration("30m")
marinara.set_temperature(100)

Batch Cooking

# Cook multiple recipes
recipes = [marinara, pizza_sauce, tomato_soup]
results = kitchen.cook_batch(recipes)

# Process results
for recipe, result in zip(recipes, results):
    print(f"{recipe.name}: {result.consistency}")

Temperature Control

Temperature Monitoring

# Monitor temperature during cooking
with kitchen.temperature_monitor() as monitor:
    sauce = kitchen.cook(tomato, method="simmer")
    temperature_history = monitor.get_history()
    print(f"Average temperature: {monitor.get_average()}°C")

Temperature Alerts

# Set up temperature alerts
kitchen.set_temperature_alert(
    min_temp=95,
    max_temp=105,
    callback=lambda temp: print(f"Temperature alert: {temp}°C")
)

Cooking Validation

Safety Checks

# Perform safety checks
if kitchen.validate_cooking_parameters(
    temperature=200,
    duration="2h",
    pressure=103.4
):
    # Proceed with cooking
    result = kitchen.cook(...)
else:
    print("Invalid cooking parameters")

Quality Assessment

# Assess cooking results
quality_report = kitchen.assess_cooking_result(sauce)
print(f"Overall quality: {quality_report.score}")
print(f"Recommendations: {quality_report.recommendations}")

Error Handling

try:
    # Attempt invalid cooking operation
    kitchen.cook(
        tomato,
        method="invalid_method",
        temperature=1000  # Too hot!
    )
except CookingError as e:
    print(f"Error: {e}")  # "Invalid cooking method"

try:
    # Attempt unsafe temperature
    kitchen.set_temperature(500)  # Too hot!
except TemperatureError as e:
    print(f"Error: {e}")  # "Temperature exceeds safe range"

Best Practices

  1. Always Validate Parameters

    if kitchen.validate_cooking_parameters(
        temperature=temp,
        duration=duration,
        pressure=pressure
    ):
        # Proceed with cooking
  2. Monitor Temperature

    with kitchen.temperature_monitor() as monitor:
        result = kitchen.cook(...)
        if monitor.get_max() > safety_threshold:
            print("Warning: Temperature exceeded safety threshold")
  3. Use Appropriate Methods

    # Choose method based on ingredient
    if ingredient.requires_gentle_cooking:
        method = "simmer"
    else:
        method = "boil"

API Reference

Classes

  • Kitchen: Main class for cooking operations

  • Recipe: Recipe management class

  • TemperatureMonitor: Temperature monitoring class

  • QualityReport: Cooking quality assessment class

Methods

Kitchen Class

  • __init__()

  • set_temperature(temp)

  • set_humidity(humidity)

  • set_pressure(pressure)

  • set_ventilation(level)

  • set_lighting(level)

  • set_equipment(equipment)

  • cook(ingredient, method, **params)

  • cook_batch(recipes)

  • validate_cooking_parameters(**params)

  • assess_cooking_result(result)

  • temperature_monitor()

Next Steps

  • Pizza Creation System - Create delicious pizzas

  • Taste Testing Module - Analyze cooking results

  • API Reference - Explore the full API

Core Modules

Ingredient Manipulation

The ingredient manipulation module provides tools for creating, modifying, and analyzing virtual ingredients in TomatoPy.

Creating Ingredients

Basic Ingredient Creation

from tomatopy import Ingredient

# Create a basic ingredient
tomato = Ingredient(
    name="tomato",
    amount=1,
    unit="whole",
    properties={
        "ripeness": 0.8,
        "water_content": 0.95,
        "sugar_content": 0.03
    }
)

Specialized Ingredient Classes

from tomatopy import Tomato, Garlic, Basil

# Create specialized ingredients
san_marzano = Tomato(
    ripeness=0.8,
    variety="San Marzano",
    weight=150
)

fresh_garlic = Garlic(
    cloves=3,
    freshness=0.9,
    size="medium"
)

sweet_basil = Basil(
    leaves=10,
    freshness=0.95,
    variety="Genovese"
)

Modifying Ingredients

Property Updates

# Update ingredient properties
tomato.properties["ripeness"] = 0.9
tomato.properties["water_content"] = 0.92

# Batch update properties
tomato.update_properties({
    "ripeness": 0.9,
    "water_content": 0.92,
    "sugar_content": 0.04
})

Unit Conversion

# Convert between units
tomato.convert_to_imperial()  # Converts metric to imperial
tomato.convert_volume("ml", "cups")  # Converts between volume units

# Get measurements in different units
print(tomato.get_weight("g"))  # 150
print(tomato.get_weight("oz"))  # 5.29

Ingredient Analysis

Physical Properties

# Get physical properties
print(tomato.get_density())  # 1.02 g/ml
print(tomato.get_volume())   # 147 ml
print(tomato.get_surface_area())  # 150 cm²

Chemical Analysis

# Analyze chemical properties
print(tomato.get_ph())  # 4.5
print(tomato.get_water_content())  # 0.95
print(tomato.get_sugar_content())  # 0.03

Ingredient Operations

Cutting and Chopping

# Cut ingredients
diced_tomato = tomato.cut(
    method="dice",
    size="medium",
    consistency="uniform"
)

# Chop ingredients
chopped_garlic = fresh_garlic.chop(
    fineness="medium",
    method="mince"
)

Combining Ingredients

# Combine ingredients
mixture = tomato.combine(
    fresh_garlic,
    sweet_basil,
    method="mix",
    consistency="chunky"
)

Quality Control

Freshness Check

# Check ingredient freshness
if tomato.is_fresh():
    print("Ingredient is fresh")
else:
    print("Ingredient may be past its prime")

# Get freshness score
freshness_score = tomato.get_freshness_score()  # 0.85

Quality Assessment

# Assess ingredient quality
quality_report = tomato.assess_quality()
print(quality_report.overall_score)  # 0.92
print(quality_report.recommendations)  # ["Consider using within 2 days"]

Error Handling

try:
    # Attempt invalid operation
    tomato.cut(method="invalid_method")
except IngredientError as e:
    print(f"Error: {e}")  # "Invalid cutting method"

try:
    # Attempt invalid property update
    tomato.update_properties({"invalid_property": 1.0})
except PropertyError as e:
    print(f"Error: {e}")  # "Invalid property name"

Best Practices

  1. Always Check Ingredient State

    if tomato.state == "fresh":
        # Proceed with operation
  2. Use Type Hints

    from typing import Dict, Any
    
    def create_ingredient(
        name: str,
        properties: Dict[str, Any]
    ) -> Ingredient:
        return Ingredient(name=name, properties=properties)
  3. Handle Unit Conversions Carefully

    # Always specify units explicitly
    weight_grams = tomato.get_weight("g")
    weight_ounces = tomato.get_weight("oz")

API Reference

Classes

  • Ingredient: Base class for all ingredients

  • Tomato: Specialized tomato ingredient

  • Garlic: Specialized garlic ingredient

  • Basil: Specialized basil ingredient

Methods

Ingredient Class

  • __init__(name, amount, unit, properties)

  • update_properties(properties)

  • convert_to_imperial()

  • convert_volume(from_unit, to_unit)

  • get_density()

  • get_volume()

  • get_surface_area()

  • get_ph()

  • get_water_content()

  • get_sugar_content()

  • cut(method, size, consistency)

  • chop(fineness, method)

  • combine(*ingredients, method, consistency)

  • is_fresh()

  • get_freshness_score()

  • assess_quality()

Next Steps

  • Cooking Operations - Learn about cooking methods

  • Pizza Creation System - Create delicious pizzas

  • API Reference - Explore the full API

Pizza Creation System

The Pizza Creation System provides specialized tools for creating and customizing virtual pizzas in TomatoPy.

Basic Pizza Creation

Creating a Basic Pizza

from tomatopy import Pizza, PizzaDough, PizzaSauce

# Create pizza components
dough = PizzaDough(
    thickness="medium",
    size="12inch",
    style="neapolitan"
)

sauce = PizzaSauce(
    base="tomato",
    consistency="smooth",
    seasoning_level="medium"
)

# Create a pizza
pizza = Pizza(
    dough=dough,
    sauce=sauce,
    size="12inch",
    style="neapolitan"
)

Adding Toppings

from tomatopy import Topping

# Create toppings
mozzarella = Topping(
    name="mozzarella",
    amount=200,  # grams
    distribution="even"
)

basil = Topping(
    name="basil",
    amount=10,  # leaves
    distribution="scattered"
)

# Add toppings to pizza
pizza.add_topping(mozzarella)
pizza.add_topping(basil)

Advanced Pizza Customization

Dough Customization

# Create custom dough
custom_dough = PizzaDough(
    thickness="thin",
    size="14inch",
    style="new_york",
    hydration=0.65,  # 65% hydration
    fermentation_time="24h",
    flour_type="00",
    salt_content=0.02  # 2% salt
)

Sauce Customization

# Create custom sauce
custom_sauce = PizzaSauce(
    base="tomato",
    consistency="chunky",
    seasoning_level="high",
    herbs=["basil", "oregano"],
    garlic_content=0.05,  # 5% garlic
    sugar_content=0.02    # 2% sugar
)

Pizza Baking

Basic Baking

from tomatopy import PizzaOven

# Set up pizza oven
oven = PizzaOven(
    temperature=450,  # Celsius
    heat_source="wood",
    humidity=0.65
)

# Bake pizza
baked_pizza = oven.bake(
    pizza,
    duration="2m",
    rotation_frequency="30s"
)

Advanced Baking Techniques

# Configure advanced baking
baked_pizza = oven.bake(
    pizza,
    duration="2m",
    rotation_frequency="30s",
    heat_zones={
        "center": 450,
        "edges": 480,
        "top": 460
    },
    steam_injection=True,
    crust_development="high"
)

Quality Control

Pizza Analysis

# Analyze pizza quality
analysis = pizza.analyze()
print(f"Crust crispness: {analysis.crust_crispness}")
print(f"Cheese melt: {analysis.cheese_melt}")
print(f"Topping distribution: {analysis.topping_distribution}")

Quality Metrics

# Get detailed quality metrics
metrics = pizza.get_quality_metrics()
print(f"Overall score: {metrics.overall_score}")
print(f"Balance score: {metrics.balance_score}")
print(f"Texture score: {metrics.texture_score}")

Special Pizza Types

Neapolitan Pizza

# Create authentic Neapolitan pizza
neapolitan = Pizza.create_neapolitan(
    size="12inch",
    toppings=["san_marzano_tomatoes", "mozzarella", "basil"]
)

New York Style

# Create New York style pizza
ny_style = Pizza.create_ny_style(
    size="18inch",
    thickness="thin",
    toppings=["tomato_sauce", "mozzarella", "pepperoni"]
)

Chicago Deep Dish

# Create Chicago deep dish
chicago = Pizza.create_chicago_style(
    size="10inch",
    thickness="deep",
    toppings=["tomato_sauce", "mozzarella", "sausage"]
)

Pizza Cutting

Standard Cutting

# Cut pizza into slices
slices = pizza.cut(
    method="standard",
    slices=8,
    slice_size="equal"
)

Custom Cutting

# Custom pizza cutting
slices = pizza.cut(
    method="custom",
    slice_sizes=["large", "medium", "small"],
    pattern="radial"
)

Error Handling

try:
    # Attempt invalid topping
    pizza.add_topping("invalid_topping")
except ToppingError as e:
    print(f"Error: {e}")  # "Invalid topping type"

try:
    # Attempt invalid baking temperature
    oven.set_temperature(1000)  # Too hot!
except TemperatureError as e:
    print(f"Error: {e}")  # "Temperature exceeds safe range"

Best Practices

  1. Proper Dough Preparation

    # Ensure proper dough fermentation
    if dough.fermentation_time < "24h":
        print("Warning: Dough may not be fully fermented")
  2. Topping Distribution

    # Check topping distribution
    if pizza.get_topping_distribution() < 0.8:
        print("Warning: Toppings may not be evenly distributed")
  3. Temperature Control

    # Monitor oven temperature
    with oven.temperature_monitor() as monitor:
        pizza = oven.bake(...)
        if monitor.get_max() > 500:
            print("Warning: Oven temperature too high")

API Reference

Classes

  • Pizza: Main pizza class

  • PizzaDough: Dough management class

  • PizzaSauce: Sauce management class

  • Topping: Topping management class

  • PizzaOven: Oven management class

Methods

Pizza Class

  • __init__(dough, sauce, size, style)

  • add_topping(topping)

  • remove_topping(topping)

  • cut(method, **params)

  • analyze()

  • get_quality_metrics()

  • create_neapolitan(**params)

  • create_ny_style(**params)

  • create_chicago_style(**params)

Next Steps

  • Taste Testing Module - Analyze pizza taste

  • Kitchen Hardware Interface - Control pizza equipment

  • API Reference - Explore the full API

Taste Testing Module

The Taste Testing Module provides tools for analyzing and comparing the flavor profiles of ingredients and cooked products in TomatoPy.

Basic Taste Analysis

Simple Taste Testing

Comprehensive Analysis

Advanced Taste Analysis

Flavor Profile Comparison

Taste Balance Analysis

Aroma Analysis

Basic Aroma Testing

Detailed Aroma Analysis

Texture Analysis

Basic Texture Testing

Detailed Texture Analysis

Quality Assessment

Basic Quality Testing

Comprehensive Quality Assessment

Taste Profile Visualization

Basic Visualization

Advanced Visualization

Error Handling

Best Practices

  1. Use Appropriate Analysis Depth

  2. Validate Results

  3. Handle Edge Cases

API Reference

Classes

  • TasteTester: Main taste testing class

  • TasteProfile: Taste profile data class

  • AromaProfile: Aroma profile data class

  • TextureProfile: Texture profile data class

  • QualityProfile: Quality profile data class

  • TasteVisualizer: Visualization class

Methods

TasteTester Class

  • __init__()

  • analyze(ingredient, **params)

  • compare(ingredients, metrics)

  • analyze_balance(ingredient)

  • analyze_aroma(ingredient, **params)

  • analyze_texture(ingredient, **params)

  • assess_quality(ingredient, **params)

  • visualize_profile(profile, **params)

Next Steps

  • - Control kitchen equipment

  • - Explore the full API

  • - Learn advanced techniques

from tomatopy import TasteTester

# Create a taste tester
tester = TasteTester()

# Analyze a basic ingredient
profile = tester.analyze(tomato)

# Get basic taste metrics
print(f"Sweetness: {profile.sweetness}")
print(f"Acidity: {profile.acidity}")
print(f"Umami: {profile.umami}")
# Get detailed taste profile
profile = tester.analyze(
    ingredient,
    depth="comprehensive",
    include_aroma=True,
    include_texture=True
)

# Access detailed metrics
print(f"Sweetness: {profile.sweetness}")
print(f"Acidity: {profile.acidity}")
print(f"Umami: {profile.umami}")
print(f"Aroma intensity: {profile.aroma.intensity}")
print(f"Texture score: {profile.texture.score}")
# Compare multiple ingredients
comparison = tester.compare(
    [tomato1, tomato2, tomato3],
    metrics=["sweetness", "acidity", "umami"]
)

# Get comparison results
print(f"Sweetest: {comparison.get_highest('sweetness')}")
print(f"Most acidic: {comparison.get_highest('acidity')}")
print(f"Most umami: {comparison.get_highest('umami')}")
# Analyze taste balance
balance = tester.analyze_balance(sauce)

# Get balance metrics
print(f"Overall balance: {balance.overall_score}")
print(f"Sweet-sour ratio: {balance.sweet_sour_ratio}")
print(f"Umami enhancement: {balance.umami_enhancement}")
# Analyze aroma
aroma_profile = tester.analyze_aroma(tomato)

# Get aroma metrics
print(f"Aroma intensity: {aroma_profile.intensity}")
print(f"Aroma complexity: {aroma_profile.complexity}")
print(f"Primary notes: {aroma_profile.primary_notes}")
# Get detailed aroma profile
aroma_profile = tester.analyze_aroma(
    ingredient,
    include_secondary_notes=True,
    include_tertiary_notes=True
)

# Access detailed aroma metrics
print(f"Primary notes: {aroma_profile.primary_notes}")
print(f"Secondary notes: {aroma_profile.secondary_notes}")
print(f"Tertiary notes: {aroma_profile.tertiary_notes}")
# Analyze texture
texture_profile = tester.analyze_texture(tomato)

# Get texture metrics
print(f"Firmness: {texture_profile.firmness}")
print(f"Juiciness: {texture_profile.juiciness}")
print(f"Overall texture: {texture_profile.overall_score}")
# Get detailed texture profile
texture_profile = tester.analyze_texture(
    ingredient,
    include_mouthfeel=True,
    include_structural_analysis=True
)

# Access detailed texture metrics
print(f"Firmness: {texture_profile.firmness}")
print(f"Juiciness: {texture_profile.juiciness}")
print(f"Mouthfeel: {texture_profile.mouthfeel}")
print(f"Structural integrity: {texture_profile.structural_integrity}")
# Assess quality
quality = tester.assess_quality(tomato)

# Get quality metrics
print(f"Overall quality: {quality.overall_score}")
print(f"Freshness: {quality.freshness}")
print(f"Ripeness: {quality.ripeness}")
# Get comprehensive quality assessment
quality = tester.assess_quality(
    ingredient,
    include_safety=True,
    include_shelf_life=True
)

# Access detailed quality metrics
print(f"Overall quality: {quality.overall_score}")
print(f"Safety score: {quality.safety_score}")
print(f"Shelf life estimate: {quality.shelf_life}")
# Create taste profile visualization
viz = tester.visualize_profile(profile)

# Display visualization
viz.show()
# Create detailed visualization
viz = tester.visualize_profile(
    profile,
    include_aroma=True,
    include_texture=True,
    style="radar"
)

# Customize visualization
viz.set_color_scheme("tomato")
viz.set_scale("logarithmic")
viz.show()
try:
    # Attempt invalid analysis
    tester.analyze("invalid_ingredient")
except TasteError as e:
    print(f"Error: {e}")  # "Invalid ingredient type"

try:
    # Attempt invalid comparison
    tester.compare([], metrics=["sweetness"])
except ComparisonError as e:
    print(f"Error: {e}")  # "No ingredients provided for comparison"
# Choose analysis depth based on needs
if needs_detailed_analysis:
    profile = tester.analyze(ingredient, depth="comprehensive")
else:
    profile = tester.analyze(ingredient, depth="basic")
# Check result validity
if profile.is_valid():
    # Proceed with analysis
    print(profile.get_summary())
else:
    print("Warning: Analysis may be incomplete")
# Handle special cases
if ingredient.is_overripe():
    print("Warning: Ingredient may affect taste analysis")
Kitchen Hardware Interface
API Reference
Tutorials

Kitchen Hardware Interface

The Kitchen Hardware Interface provides tools for controlling and monitoring virtual kitchen equipment in TomatoPy.

Basic Equipment Control

Initializing Equipment

from tomatopy import KitchenHardware

# Initialize kitchen hardware
hardware = KitchenHardware()

# Initialize specific equipment
oven = hardware.get_oven()
stove = hardware.get_stove()
blender = hardware.get_blender()

Basic Equipment Control

# Control oven
oven.set_temperature(180)  # Celsius
oven.set_mode("bake")
oven.set_timer("30m")

# Control stove
stove.set_burner(1, temperature=100)  # Celsius
stove.set_burner(2, temperature=200)

# Control blender
blender.set_speed("high")
blender.set_duration("1m")

Advanced Equipment Control

Oven Control

# Configure advanced oven settings
oven.configure(
    temperature=180,
    mode="convection",
    humidity=0.65,
    fan_speed="high",
    steam_injection=True,
    heat_zones={
        "top": 190,
        "bottom": 170,
        "rear": 180
    }
)

Stove Control

# Configure advanced stove settings
stove.configure(
    burners={
        1: {"temperature": 100, "size": "small"},
        2: {"temperature": 200, "size": "large"},
        3: {"temperature": 150, "size": "medium"},
        4: {"temperature": 180, "size": "medium"}
    },
    griddle_temperature=200,
    ventilation="high"
)

Blender Control

# Configure advanced blender settings
blender.configure(
    speed="high",
    duration="1m",
    pulse_pattern="intermittent",
    container_size="1.5L",
    blade_type="multi-purpose"
)

Equipment Monitoring

Basic Monitoring

# Monitor equipment status
print(f"Oven temperature: {oven.get_temperature()}°C")
print(f"Stove burner 1: {stove.get_burner_status(1)}")
print(f"Blender speed: {blender.get_speed()}")

Advanced Monitoring

# Set up comprehensive monitoring
with hardware.monitor() as monitor:
    # Monitor multiple parameters
    monitor.track_temperature(oven)
    monitor.track_power_usage(stove)
    monitor.track_vibration(blender)
    
    # Get monitoring data
    data = monitor.get_data()
    print(f"Temperature history: {data.temperature_history}")
    print(f"Power usage: {data.power_usage}")
    print(f"Vibration levels: {data.vibration_levels}")

Safety Features

Basic Safety Checks

# Perform safety checks
if hardware.check_safety():
    # Proceed with operation
    oven.start()
else:
    print("Safety check failed")

Advanced Safety Monitoring

# Set up safety monitoring
hardware.set_safety_monitoring(
    temperature_limits={
        "max": 300,  # Celsius
        "min": 50
    },
    power_limits={
        "max": 5000,  # Watts
        "min": 0
    },
    ventilation_required=True,
    emergency_shutdown=True
)

Equipment Maintenance

Basic Maintenance

# Check equipment status
status = hardware.check_status()

# Perform basic maintenance
if status.needs_cleaning:
    hardware.clean_equipment()
if status.needs_calibration:
    hardware.calibrate_equipment()

Advanced Maintenance

# Schedule maintenance
hardware.schedule_maintenance(
    oven,
    tasks=["clean", "calibrate", "inspect"],
    frequency="weekly"
)

# Get maintenance history
history = hardware.get_maintenance_history()
print(f"Last cleaning: {history.last_cleaning}")
print(f"Last calibration: {history.last_calibration}")

Error Handling

try:
    # Attempt invalid temperature
    oven.set_temperature(1000)  # Too hot!
except TemperatureError as e:
    print(f"Error: {e}")  # "Temperature exceeds safe range"

try:
    # Attempt invalid operation
    blender.set_speed("invalid_speed")
except OperationError as e:
    print(f"Error: {e}")  # "Invalid speed setting"

Best Practices

  1. Always Check Equipment Status

    # Check status before use
    if hardware.check_status().is_ready:
        # Proceed with operation
        oven.start()
    else:
        print("Equipment not ready")
  2. Monitor Temperature

    # Monitor temperature during operation
    with hardware.temperature_monitor() as monitor:
        oven.start()
        if monitor.get_max() > safety_threshold:
            print("Warning: Temperature too high")
  3. Regular Maintenance

    # Schedule regular maintenance
    hardware.schedule_maintenance(
        equipment,
        tasks=["clean", "calibrate"],
        frequency="daily"
    )

API Reference

Classes

  • KitchenHardware: Main hardware control class

  • Oven: Oven control class

  • Stove: Stove control class

  • Blender: Blender control class

  • Monitor: Equipment monitoring class

  • Maintenance: Maintenance management class

Methods

KitchenHardware Class

  • __init__()

  • get_oven()

  • get_stove()

  • get_blender()

  • check_safety()

  • check_status()

  • monitor()

  • schedule_maintenance()

  • get_maintenance_history()

  • set_safety_monitoring()

Next Steps

  • API Reference - Explore the full API

  • Tutorials - Learn advanced techniques

  • Best Practices - Learn best practices