philiprehberger-str-case 0.3.0

Convert strings between camelCase, snake_case, PascalCase, kebab-case, and more.

philiprehberger-str-case

Convert strings between camelCase, snake_case, PascalCase, kebab-case, and more.

Installation

pip install philiprehberger-str-case

Usage

from philiprehberger_str_case import to_snake, to_camel, to_pascal, to_kebab

to_snake("HTMLParser")       # "html_parser"
to_camel("html_parser")      # "htmlParser"
to_pascal("get-https-url")   # "GetHttpsUrl"
to_kebab("getHTTPSUrl")      # "get-https-url"

Acronym handling

Acronyms are split correctly:

from philiprehberger_str_case import to_snake

to_snake("HTMLParser")    # "html_parser"
to_snake("getHTTPSUrl")  # "get_https_url"
to_snake("XMLToJSON")    # "xml_to_json"

Number-aware splitting

Numbers at letter-digit boundaries are split into separate words:

from philiprehberger_str_case import to_snake, to_kebab

to_snake("html2json")      # "html_2_json"
to_snake("item123Name")    # "item_123_name"
to_kebab("v2Api")          # "v2-api"  (single-letter prefix stays attached)

More formats

from philiprehberger_str_case import to_constant, to_title, to_dot, to_path

to_constant("htmlParser")  # "HTML_PARSER"
to_title("html_parser")    # "Html Parser"
to_dot("htmlParser")       # "html.parser"
to_path("htmlParser")      # "html/parser"

Sentence case and Header-Case

from philiprehberger_str_case import to_sentence, to_header

to_sentence("html_parser")    # "Html parser"
to_sentence("getHTTPSUrl")    # "Get https url"

to_header("content_type")     # "Content-Type"
to_header("xForwardedFor")    # "X-Forwarded-For"

Split into words

from philiprehberger_str_case import to_words

to_words("getHTTPSUrl")     # ["get", "https", "url"]
to_words("html2json")       # ["html", "2", "json"]
to_words("Content-Type")    # ["content", "type"]

Convert dictionary keys

from philiprehberger_str_case import convert_keys, to_snake

data = {
    "firstName": "John",
    "lastName": "Doe",
    "contactInfo": {
        "emailAddress": "[e-mail]",
        "phoneNumber": "555-1234",
    },
}

convert_keys(data, to_snake)
# {
#     "first_name": "John",
#     "last_name": "Doe",
#     "contact_info": {
#         "email_address": "[e-mail]",
#         "phone_number": "555-1234",
#     },
# }

Lists of dicts are also supported:

records = [{"firstName": "Alice"}, {"firstName": "Bob"}]
convert_keys(records, to_snake)
# [{"first_name": "Alice"}, {"first_name": "Bob"}]

Detect case

from philiprehberger_str_case import detect_case, is_case

detect_case("my_variable")   # "snake_case"
detect_case("myVariable")    # "camelCase"
detect_case("MyVariable")    # "PascalCase"
detect_case("my-variable")   # "kebab-case"
detect_case("MY_VARIABLE")   # "CONSTANT_CASE"
detect_case("Content-Type")  # "Header-Case"
detect_case("Hello world")   # "Sentence case"

is_case("my_variable", "snake_case")  # True
is_case("my_variable", "camelCase")   # False

API

Function	Description
to_snake(s)	Convert to snake_case
to_camel(s)	Convert to camelCase
to_pascal(s)	Convert to PascalCase
to_kebab(s)	Convert to kebab-case
to_constant(s)	Convert to CONSTANT_CASE
to_title(s)	Convert to Title Case
to_dot(s)	Convert to dot.case
to_path(s)	Convert to path/case
to_sentence(s)	Convert to Sentence case
to_header(s)	Convert to HTTP Header-Case
to_words(s)	Split a string into a list of normalized lowercase words
convert_keys(data, converter)	Recursively convert dict/list keys
detect_case(s)	Detect case convention of a string
is_case(s, case)	Check if string matches a case convention

Development

pip install -e .
python -m pytest tests/ -v

Support

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License

MIT