👩🍳 Spytula 
Spytula is a Python library that provides a simple and convenient way to build JSON and YAML data structures using a builder pattern.
Installation
Use pip to install the Spytula library:
pip install spytulaUsage
Import the SpytulaBuilder class from the spytula.builder module:
from spytula.builder import SpytulaBuilder
# Create an instance of SpytulaBuilder
builder = SpytulaBuilder()
# Add attributes to the JSON structure
builder.attribute('name', 'Ramen')
builder.attribute('origin', 'Japan')
# Create a list of ingredients
for builder.each('ingredients') as add_ingredient:
for ingredient in ['Noodles', 'Pork', 'Eggs', 'Miso']:
with add_ingredient() as ingredient_builder:
ingredient_builder.attribute('name', ingredient)
# Add optional attributes conditionally
builder.when('spiciness', 'Medium', True)
builder.when('extra_toppings', ['Green Onions', 'Nori', 'Bamboo Shoots'], True)
# Configure the key to use camelcase
builder.key_format(camelize={'uppercase_first_letter': False})
# Convert the JSON structure to JSON-formatted string
json_output = builder.to_json(indent=4)
# Print the JSON output
print(json_output)This will output:
{
"name": "Ramen",
"origin": "Japan",
"ingredients": [
{ "name": "Noodles" },
{ "name": "Pork" },
{ "name": "Eggs" },
{ "name": "Miso" }
],
"spiciness": "Medium",
"extraToppings": [
"Green Onions",
"Nori",
"Bamboo Shoots"
]
}
In this example, we create a SpytulaBuilder instance and add attributes like name and origin to represent Ramen. We use the nodes() context manager to create a list of ingredients and add them to the JSON structure. Optional attributes like spiciness and toppings are added conditionally using the when() method. Finally, we convert the JSON structure to a JSON-formatted string using to_json() with an indentation of 4 spaces.
Documentation
Refer for the documentation for more details.
