arrow-left

Only this pageAll pages
gitbookPowered by GitBook
1 of 2

Recipe Library - English

Loading...

Loading...

Experimental Creations

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

hashtag
Molecular Gastronomy Tomato Spheres

hashtag
Ingredients

hashtag
Instructions

hashtag
Quality Control

hashtag
Fermented Tomato Kimchi

hashtag
Ingredients

hashtag
Instructions

hashtag
Quality Control

hashtag
Tomato Ice Cream

hashtag
Ingredients

hashtag
Instructions

hashtag
Quality Control

hashtag
Tomato Sushi

hashtag
Ingredients

hashtag
Instructions

hashtag
Quality Control

hashtag
Best Practices

hashtag
Experimental Design

hashtag
Parameter Optimization

hashtag
Quality Monitoring

hashtag
Advanced Techniques

hashtag
Flavor Extraction

hashtag
Texture Modification

hashtag
Molecular Manipulation

hashtag
Next Steps

  • - Explore the full API

  • - Learn advanced techniques

  • - Learn optimization techniques

API Reference
Tutorials
Best Practices
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
)
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)
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}")
# 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
)
# 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)
# 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}")
# 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
)
# 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)
# 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}")
# 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
)
# 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)
# 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}")
# Design experiment
def design_experiment(recipe, parameters):
    experiment = Experiment(recipe)
    for param, value in parameters.items():
        experiment.add_parameter(param, value)
    return experiment
# Optimize parameters
def optimize_parameters(recipe, target_profile):
    optimizer = ParameterOptimizer(recipe)
    optimal_params = optimizer.find_optimal(target_profile)
    return optimal_params
# 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
# Extract flavors
def extract_flavors(ingredient, method):
    extractor = FlavorExtractor(ingredient)
    flavors = extractor.extract(method)
    return flavors
# Modify texture
def modify_texture(ingredient, target_texture):
    modifier = TextureModifier(ingredient)
    modified = modifier.modify(target_texture)
    return modified
# Manipulate molecules
def manipulate_molecules(ingredient, manipulation):
    manipulator = MoleculeManipulator(ingredient)
    result = manipulator.manipulate(manipulation)
    return result

Classic Dishes

circle-info

TomatoPyarrow-up-right enables you to slice, dice, cook with, and taste tomatoes using nothing but Python!

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

hashtag
Classic Marinara Sauce

hashtag
Ingredients

hashtag
Instructions

hashtag
Quality Control

hashtag
Classic Pizza Sauce

hashtag
Ingredients

hashtag
Instructions

hashtag
Quality Control

hashtag
Classic Tomato Soup

hashtag
Ingredients

hashtag
Instructions

hashtag
Quality Control

hashtag
Classic Bruschetta

hashtag
Ingredients

hashtag
Instructions

hashtag
Quality Control

hashtag
Best Practices

hashtag
Ingredient Selection

hashtag
Temperature Control

hashtag
Quality Assessment

hashtag
Recipe Optimization

hashtag
Flavor Enhancement

hashtag
Texture Improvement

hashtag
Next Steps

  • - Try innovative recipes

  • - Explore the full API

  • - Learn basic techniques

Experimental Creations
API Reference
Tutorials
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  # %
)
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)
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}")
# 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"
)
# 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)
# 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}")
# 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
)
# 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)
# 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}")
# 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
)
# 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)
# 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}")
# 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")
# 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
# 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
# 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
# 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