Converts a string from snake case to camel case or camel case to snake case
In JSON keys are frequently in camelCase format, while variable names in Python are typically snake_case. The purpose of this pacakgae is to help convert between the two formats.
To convert from camel case to snake case:
from camel_converter import to_snake
snake = to_snake("myString")
This will convert myString
into my_string
To convert a dictonary's keys from camel case to snake case:
from camel_converter import dict_to_snake
snake = dict_to_snake({"myString": "val 1"})
This will convert {"myString": "val 1"}
into {"my_string": "val 1"}
. Non-string keys will be
left unchanged.
This is also available as a decorator for functions that return a dictionary.
from camel_converter.decorators import dict_to_snake
@dict_to_snake
def my_func() -> dict[str, str]:
return {"myString": "val 1"}
snake = my_func()
my_func
will return {"my_string": "val 1"}
. Non-string keys will be
left unchanged.
To convert from snake case to camel case:
from camel_converter import to_camel
camel = to_camel("my_string")
This will convert my_string
into myString
To convert from a dictionary's keys from snake case to camel case:
from camel_converter import dict_to_camel
camel = to_camel({"my_string": "val 1"})
This will convert {"my_string": "val 1"}
into {"myString": "val 1"}
Non-string keys will be
left unchanged.
This is also available as a decorator for functions that return a dictionary.
from camel_converter.decorators import dict_to_camel
@dict_to_camel
def my_func() -> dict[str, str]:
return {"my_string": "val 1"}
camel = my_func()
my_func
will return {"myString": "val 1"}
. Non-string keys will be
left unchanged.
To convert from snake to pascal case:
from camel_converter import to_pascal
pascal = to_pascal("my_string")
This will convert my_string
into MyString
To convert from a dictionary's keys from snake case to pascal case:
from camel_converter import dict_to_pascal
pascal = to_pascal({"my_string": "val 1"})
This will convert {"my_string": "val 1"}
into {"MyString": "val 1"}
Non-string keys will be
left unchanged.
This is also available as a decorator for functions that return a dictionary.
from camel_converter.decorators import dict_to_pascal
@dict_to_pascal
def my_func() -> dict[str, str]:
return {"my_string": "val 1"}
pascal = my_func()
my_func
will return {"MyString": "val 1"}
. Non-string keys will be
left unchanged.
An optional extra is provided for Pydantic that provides a base class to automatically convert between snake case and camel case. To use this Pydantic class install camel converter with:
pip install camel-converter[pydantic]
Then your Pydantic classes can inherit from CamelBase.
from camel_converter.pydantic_base import CamelBase
class MyModel(CamelBase):
test_field: str
my_data = MyModel(**{"testField": "my value"})
print(my_data.test_field)
will result in my value
being printed.
With setting up your model in this way myField
from the source, i.e. JSON data, will map to my_field
in your model.
If you are interested in contributing to this project please see our contributing guide