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Classic Dishes

A collection of classic tomato-based recipes implemented in TomatoPy. Each recipe includes detailed instructions, ingredient specifications, and quality control measures.

Classic Marinara Sauce

Ingredients

from tomatopy import Tomato, Garlic, Basil, OliveOil

# Create ingredients
tomatoes = Tomato(
    ripeness=0.9,
    variety="San Marzano",
    weight=800  # grams
)

garlic = Garlic(
    cloves=4,
    freshness=0.95,
    size="medium"
)

basil = Basil(
    leaves=20,
    freshness=0.95,
    variety="Genovese"
)

olive_oil = OliveOil(
    amount=60,  # ml
    quality="extra_virgin",
    acidity=0.3  # %
)

Instructions

from tomatopy import Kitchen, Recipe

# Initialize kitchen
kitchen = Kitchen()

# Create recipe
marinara = Recipe("Classic Marinara")
marinara.add_ingredient(tomatoes)
marinara.add_ingredient(garlic)
marinara.add_ingredient(basil)
marinara.add_ingredient(olive_oil)

# Set cooking parameters
marinara.set_cooking_method("simmer")
marinara.set_duration("45m")
marinara.set_temperature(100)  # Celsius

# Execute recipe
sauce = kitchen.cook_recipe(marinara)

Quality Control

from tomatopy import TasteTester

# Analyze sauce
tester = TasteTester()
profile = tester.analyze(sauce)

# Check quality metrics
print(f"Sweetness: {profile.sweetness}")
print(f"Acidity: {profile.acidity}")
print(f"Umami: {profile.umami}")
print(f"Overall balance: {profile.balance}")

Classic Pizza Sauce

Ingredients

# Create ingredients
tomatoes = Tomato(
    ripeness=0.9,
    variety="San Marzano",
    weight=400  # grams
)

garlic = Garlic(
    cloves=3,
    freshness=0.95,
    size="medium"
)

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

oregano = Oregano(
    amount=5,  # grams
    freshness=0.9,
    variety="Mediterranean"
)

Instructions

# Create recipe
pizza_sauce = Recipe("Classic Pizza Sauce")
pizza_sauce.add_ingredient(tomatoes)
pizza_sauce.add_ingredient(garlic)
pizza_sauce.add_ingredient(basil)
pizza_sauce.add_ingredient(oregano)

# Set cooking parameters
pizza_sauce.set_cooking_method("simmer")
pizza_sauce.set_duration("30m")
pizza_sauce.set_temperature(90)  # Celsius

# Execute recipe
sauce = kitchen.cook_recipe(pizza_sauce)

Quality Control

# Analyze sauce
profile = tester.analyze(sauce)

# Check quality metrics
print(f"Consistency: {profile.consistency}")
print(f"Herb balance: {profile.herb_balance}")
print(f"Overall quality: {profile.overall_score}")

Classic Tomato Soup

Ingredients

# Create ingredients
tomatoes = Tomato(
    ripeness=0.85,
    variety="Roma",
    weight=1000  # grams
)

onion = Onion(
    amount=200,  # grams
    variety="yellow",
    sweetness=0.7
)

carrot = Carrot(
    amount=100,  # grams
    freshness=0.95,
    sweetness=0.8
)

celery = Celery(
    amount=100,  # grams
    freshness=0.95,
    crunchiness=0.9
)

cream = Cream(
    amount=200,  # ml
    fat_content=0.35,
    freshness=0.95
)

Instructions

# Create recipe
soup = Recipe("Classic Tomato Soup")
soup.add_ingredient(tomatoes)
soup.add_ingredient(onion)
soup.add_ingredient(carrot)
soup.add_ingredient(celery)
soup.add_ingredient(cream)

# Set cooking parameters
soup.set_cooking_method("simmer")
soup.set_duration("1h")
soup.set_temperature(95)  # Celsius

# Execute recipe
final_soup = kitchen.cook_recipe(soup)

Quality Control

# Analyze soup
profile = tester.analyze(final_soup)

# Check quality metrics
print(f"Consistency: {profile.consistency}")
print(f"Vegetable balance: {profile.vegetable_balance}")
print(f"Cream integration: {profile.cream_integration}")

Classic Bruschetta

Ingredients

# Create ingredients
tomatoes = Tomato(
    ripeness=0.95,
    variety="Cherry",
    weight=500  # grams
)

garlic = Garlic(
    cloves=3,
    freshness=0.95,
    size="medium"
)

basil = Basil(
    leaves=15,
    freshness=0.95,
    variety="Genovese"
)

olive_oil = OliveOil(
    amount=30,  # ml
    quality="extra_virgin",
    acidity=0.3  # %
)

bread = Bread(
    slices=8,
    type="ciabatta",
    freshness=0.9
)

Instructions

# Create recipe
bruschetta = Recipe("Classic Bruschetta")
bruschetta.add_ingredient(tomatoes)
bruschetta.add_ingredient(garlic)
bruschetta.add_ingredient(basil)
bruschetta.add_ingredient(olive_oil)
bruschetta.add_ingredient(bread)

# Set cooking parameters
bruschetta.set_cooking_method("assemble")
bruschetta.set_preparation_time("15m")

# Execute recipe
final_bruschetta = kitchen.prepare_recipe(bruschetta)

Quality Control

# Analyze bruschetta
profile = tester.analyze(final_bruschetta)

# Check quality metrics
print(f"Freshness: {profile.freshness}")
print(f"Texture balance: {profile.texture_balance}")
print(f"Overall quality: {profile.overall_score}")

Best Practices

Ingredient Selection

# Check ingredient quality
def validate_ingredients(ingredients):
    for ingredient in ingredients:
        if not ingredient.is_fresh():
            print(f"Warning: {ingredient.name} may not be fresh")
        if not ingredient.meets_quality_standards():
            print(f"Warning: {ingredient.name} may not meet quality standards")

Temperature Control

# Monitor cooking temperature
def monitor_cooking(recipe, kitchen):
    with kitchen.temperature_monitor() as monitor:
        result = kitchen.cook_recipe(recipe)
        if monitor.get_max() > recipe.max_temperature:
            print("Warning: Temperature exceeded maximum")
        return result

Quality Assessment

# Assess final product
def assess_quality(result, tester):
    profile = tester.analyze(result)
    if profile.overall_score < 0.8:
        print("Warning: Product may need improvement")
    return profile

Recipe Optimization

Flavor Enhancement

# Enhance flavor profile
def enhance_flavor(recipe, target_profile):
    current_profile = tester.analyze(recipe)
    recommendations = tester.get_optimization_recommendations(
        current_profile,
        target_profile
    )
    return recommendations

Texture Improvement

# Improve texture
def improve_texture(recipe, target_texture):
    current_texture = tester.analyze_texture(recipe)
    adjustments = tester.get_texture_recommendations(
        current_texture,
        target_texture
    )
    return adjustments

Next Steps

  • Experimental Creations - Try innovative recipes

  • API Reference - Explore the full API

  • Tutorials - Learn basic techniques

Experimental Creations

A collection of innovative and experimental tomato-based recipes that push the boundaries of what's possible with TomatoPy.

Molecular Gastronomy Tomato Spheres

Ingredients

from tomatopy import Tomato, Alginate, Calcium, SpherificationKit

# Create ingredients
tomatoes = Tomato(
    ripeness=0.95,
    variety="Heirloom",
    weight=500  # grams
)

alginate = Alginate(
    amount=2,  # grams
    purity=0.99,
    viscosity=0.8
)

calcium = Calcium(
    amount=5,  # grams
    form="chloride",
    purity=0.95
)

spherification_kit = SpherificationKit(
    size="medium",
    temperature_control=True
)

Instructions

from tomatopy import Kitchen, Recipe

# Initialize kitchen
kitchen = Kitchen()

# Create recipe
spheres = Recipe("Tomato Spheres")
spheres.add_ingredient(tomatoes)
spheres.add_ingredient(alginate)
spheres.add_ingredient(calcium)

# Set preparation parameters
spheres.set_preparation_method("spherification")
spheres.set_temperature(4)  # Celsius
spheres.set_duration("2h")

# Execute recipe
final_spheres = kitchen.prepare_recipe(spheres)

Quality Control

from tomatopy import TasteTester

# Analyze spheres
tester = TasteTester()
profile = tester.analyze(final_spheres)

# Check quality metrics
print(f"Sphericity: {profile.sphericity}")
print(f"Burst strength: {profile.burst_strength}")
print(f"Flavor concentration: {profile.flavor_concentration}")

Fermented Tomato Kimchi

Ingredients

# Create ingredients
tomatoes = Tomato(
    ripeness=0.85,
    variety="Roma",
    weight=1000  # grams
)

chili = Chili(
    amount=100,  # grams
    variety="Gochugaru",
    spiciness=0.8
)

garlic = Garlic(
    cloves=10,
    freshness=0.95,
    size="large"
)

ginger = Ginger(
    amount=50,  # grams
    freshness=0.95,
    spiciness=0.7
)

fermentation_kit = FermentationKit(
    type="anaerobic",
    temperature_control=True
)

Instructions

# Create recipe
kimchi = Recipe("Tomato Kimchi")
kimchi.add_ingredient(tomatoes)
kimchi.add_ingredient(chili)
kimchi.add_ingredient(garlic)
kimchi.add_ingredient(ginger)

# Set fermentation parameters
kimchi.set_fermentation_method("lactic")
kimchi.set_temperature(20)  # Celsius
kimchi.set_duration("7d")
kimchi.set_salt_concentration(0.02)  # 2% salt

# Execute recipe
final_kimchi = kitchen.ferment_recipe(kimchi)

Quality Control

# Analyze kimchi
profile = tester.analyze(final_kimchi)

# Check quality metrics
print(f"Fermentation level: {profile.fermentation_level}")
print(f"Spiciness: {profile.spiciness}")
print(f"Umami development: {profile.umami_development}")

Tomato Ice Cream

Ingredients

# Create ingredients
tomatoes = Tomato(
    ripeness=0.9,
    variety="San Marzano",
    weight=400  # grams
)

cream = Cream(
    amount=500,  # ml
    fat_content=0.35,
    freshness=0.95
)

sugar = Sugar(
    amount=150,  # grams
    type="granulated",
    sweetness=1.0
)

vanilla = Vanilla(
    amount=2,  # pods
    quality="madagascar",
    intensity=0.9
)

ice_cream_maker = IceCreamMaker(
    type="professional",
    temperature_control=True
)

Instructions

# Create recipe
ice_cream = Recipe("Tomato Ice Cream")
ice_cream.add_ingredient(tomatoes)
ice_cream.add_ingredient(cream)
ice_cream.add_ingredient(sugar)
ice_cream.add_ingredient(vanilla)

# Set preparation parameters
ice_cream.set_preparation_method("churning")
ice_cream.set_temperature(-5)  # Celsius
ice_cream.set_duration("30m")

# Execute recipe
final_ice_cream = kitchen.prepare_recipe(ice_cream)

Quality Control

# Analyze ice cream
profile = tester.analyze(final_ice_cream)

# Check quality metrics
print(f"Creaminess: {profile.creaminess}")
print(f"Sweetness balance: {profile.sweetness_balance}")
print(f"Tomato flavor integration: {profile.flavor_integration}")

Tomato Sushi

Ingredients

# Create ingredients
tomatoes = Tomato(
    ripeness=0.95,
    variety="Cherry",
    weight=300  # grams
)

rice = Rice(
    amount=500,  # grams
    variety="sushi",
    stickiness=0.9
)

nori = Nori(
    sheets=4,
    quality="premium",
    crispness=0.95
)

wasabi = Wasabi(
    amount=20,  # grams
    spiciness=0.8,
    freshness=0.95
)

sushi_kit = SushiKit(
    type="professional",
    rice_cooker=True
)

Instructions

# Create recipe
sushi = Recipe("Tomato Sushi")
sushi.add_ingredient(tomatoes)
sushi.add_ingredient(rice)
sushi.add_ingredient(nori)
sushi.add_ingredient(wasabi)

# Set preparation parameters
sushi.set_preparation_method("rolling")
sushi.set_temperature(22)  # Celsius
sushi.set_duration("45m")

# Execute recipe
final_sushi = kitchen.prepare_recipe(sushi)

Quality Control

# Analyze sushi
profile = tester.analyze(final_sushi)

# Check quality metrics
print(f"Rice texture: {profile.rice_texture}")
print(f"Roll tightness: {profile.roll_tightness}")
print(f"Flavor balance: {profile.flavor_balance}")

Best Practices

Experimental Design

# Design experiment
def design_experiment(recipe, parameters):
    experiment = Experiment(recipe)
    for param, value in parameters.items():
        experiment.add_parameter(param, value)
    return experiment

Parameter Optimization

# Optimize parameters
def optimize_parameters(recipe, target_profile):
    optimizer = ParameterOptimizer(recipe)
    optimal_params = optimizer.find_optimal(target_profile)
    return optimal_params

Quality Monitoring

# Monitor quality
def monitor_quality(recipe, duration):
    monitor = QualityMonitor(recipe)
    with monitor.track(duration):
        result = kitchen.prepare_recipe(recipe)
        quality_data = monitor.get_data()
    return result, quality_data

Advanced Techniques

Flavor Extraction

# Extract flavors
def extract_flavors(ingredient, method):
    extractor = FlavorExtractor(ingredient)
    flavors = extractor.extract(method)
    return flavors

Texture Modification

# Modify texture
def modify_texture(ingredient, target_texture):
    modifier = TextureModifier(ingredient)
    modified = modifier.modify(target_texture)
    return modified

Molecular Manipulation

# Manipulate molecules
def manipulate_molecules(ingredient, manipulation):
    manipulator = MoleculeManipulator(ingredient)
    result = manipulator.manipulate(manipulation)
    return result

Next Steps

  • API Reference - Explore the full API

  • Tutorials - Learn advanced techniques

  • Best Practices - Learn optimization techniques