philiprehberger-type-parse 0.1.1

Parse strings into Python types intelligently — booleans, numbers, dates, None, lists

philiprehberger-type-parse

Parse strings into Python types intelligently — booleans, numbers, dates, None, lists.

Install

pip install philiprehberger-type-parse

Usage

from philiprehberger_type_parse import parse

parse("true")        # True
parse("42")          # 42
parse("3.14")        # 3.14
parse("2026-03-15")  # datetime.date(2026, 3, 15)
parse("none")        # None
parse("hello")       # "hello"

Boolean Parsing

from philiprehberger_type_parse import parse_bool

parse_bool("yes")    # True
parse_bool("off")    # False
parse_bool("1")      # True

Number Parsing

from philiprehberger_type_parse import parse_number

parse_number("1,234")     # 1234
parse_number("$19.99")    # 19.99
parse_number("50%")       # 50

Date Parsing

from philiprehberger_type_parse import parse_date

parse_date("2026-03-15")              # datetime.date(2026, 3, 15)
parse_date("15.03.2026", dayfirst=True)  # datetime.date(2026, 3, 15)
parse_date("March 15, 2026")          # datetime.date(2026, 3, 15)

List Parsing

from philiprehberger_type_parse import parse_list

parse_list("a, b, c")           # ["a", "b", "c"]
parse_list("x|y|z", separator="|")  # ["x", "y", "z"]

API

Function	Description
parse(value)	Auto-detect type: None, bool, int, float, date, or str
parse_bool(value)	Parse true/yes/1/on/y or false/no/0/off/n
parse_number(value)	Parse int or float with commas, currency, percentages
parse_date(value, *, dayfirst=False)	Parse common date formats into datetime.date
parse_list(value, *, separator=",")	Split into trimmed, non-empty strings

License

MIT