📦 typeric

typeric is a practical type utility toolkit for Python, focused on clarity, safety, and ergonomics. It was originally built to make my own development experience smoother, but I hope it proves useful to others as well.
It currently provides lightweight, pattern-matchable types like Result and Option — inspired by Rust — with plans to include more common type patterns and error-handling abstractions.

pip install typeric

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🚀 Features

• ✅ Functional-style Result type
  Ok(value) and Err(error) with powerful .map(), .and_then(), .combine(), .spread() helpers — inspired by Rust’s Result.

• 🌀 Lightweight Option type
  Some(value) and NONE to handle nullable data safely, with .map(), .unwrap_or(), .is_some() and more.

• 🔁 Seamless conversion decorators

  • @resulty: Wraps any function to return Result instead of raising exceptions.
  • @optiony: Wraps any function to return Option, converting None or exceptions into NONE.

• 🧩 Pattern matching support
  Supports Python’s match syntax via __match_args__ for both Ok/Err and Some/NONE.

• 🔒 Immutable and composable
  Safe and clean method chains using .map(), .combine(), .inspect(), etc.

• 🔧 Clean type signatures
  Fully typed: Result[T, E] and Option[T] with static analysis and IDE support.

• 🛠️ Extensible foundation
  Designed for easy extension — more algebraic types (Either, Validated, etc.) can be added naturally.

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🔍 Quick Example

Result

from typeric.result import Result, Ok, Err, resulty, resulty_async, optiony, optiony_async

def parse_number(text: str) -> Result[int, str]:
    try:
        return Ok(int(text))
    except ValueError:
        return Err("Not a number")

match parse_number("42"):
    case Ok(value):
        print("Parsed:", value)
    case Err(error):
        print("Failed:", error)

# let function return Result[T,str]
@resulty
def add(x: int, y: int) -> int:
    return x + y

res = add(1, 2)
if res.is_ok():
    print("Result:", res.unwrap())
else:
    print("Error:", res.err)

# let async function return Result[T,str]
@resulty_async
async def async_add(x: int, y: int) -> int:
    return x + y

res = await async_add(1, 2)
if res.is_ok():
    print("Result:", res.unwrap())
else:
    print("Error:", res.err)

def func_a(x: int) -> Result[int, str]:
    if x < 0:
        return Err("negative input")
    return Ok(x * 2)


@spreadable
def func_b(y: int) -> Result[int, str]:
    a = func_a(y).spread()
    return Ok(a + 1)


def test_func_b_success():
    assert func_b(5) == Ok(11)  # 5*2=10 +1=11


def test_func_b_propagate_error():
    assert func_b(-2) == Err("negative input")

def validate_username(username: str) -> Result[str, str]:
    if username.strip():
        return Ok(username)
    return Err("Username is empty")


def validate_age(age: int) -> Result[int, str]:
    if age > 0:
        return Ok(age)
    return Err("Age must > 0")


def validate_email(email: str) -> Result[str, str]:
    if "@" in email:
        return Ok(email)
    return Err("Invalid email")


# ✅ results combine
def validate_user_data(
    username: str, age: int, email: str
) -> Result[tuple[tuple[str, int], str], str]:
    return (
        validate_username(username)
        .combine(validate_age(age))
        .combine(validate_email(email))
    )


result1 = validate_user_data("alice", 30, "alice@example.com")
print(result1)  # Ok((('alice', 30), 'alice@example.com'))

result2 = validate_user_data("", -5, "invalid-email")
print(result2.errs)  # Err(['Username is empty', 'Age must > 0', 'Invalid email'])

Option

from typeric.option import Option, Some, NONE
from typeric.wrap_func import get_time_sync 
def maybe_get(index: int, items: list[str]) -> Option[str]:
    if 0 <= index < len(items):
        return Some(items[index])
    return NONE

match maybe_get(1, ["a", "b", "c"]):
    case Some(value):
        print("Got:", value)
    case NONE:
        print("Nothing found")

@get_time_sync # This decorator is used for synchronous functions to measure execution time.
@optiony
def get_number(x: int) -> int | None:
    if x > 0:
        return x
    return None

@optiony_async
async def fetch_data(flag: bool) -> str | None:
    if flag:
        return "data"
    return None

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✅ Test

Run tests with:

uv run pytest -v

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📦 Roadmap

• Async Result
• OptionResult combinators
• Try, Either, NonEmptyList, etc.

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📄 License

MIT