trcks 🚂🐍

trcks is a Python library that allows railway-oriented programming (ROP) in two different type-safe programming styles.

Setup

trcks is available on PyPI. Use your favorite package manager (e.g. pip, poetry, or uv) to install it. Check the documentation for detailed setup instructions, including how to install the trcks skill for AI coding agents.

Usage

The following subsections demonstrate both styles of railway-oriented programming (ROP) supported by trcks.

Object-oriented style

The object-oriented style is based on method chaining, as demonstrated by the get_subscription_fee_by_email function in the following example.

>>> from typing import Literal
>>> from trcks import Result
>>> from trcks.oop import Wrapper
>>>
>>> UserDoesNotExist = Literal["User does not exist"]
>>> UserDoesNotHaveASubscription = Literal["User does not have a subscription"]
>>> FailureDescription = UserDoesNotExist | UserDoesNotHaveASubscription
>>>
>>> def get_user_id(user_email: str) -> Result[UserDoesNotExist, int]:
...     if user_email == "erika.mustermann@domain.org":
...         return "success", 1
...     if user_email == "john_doe@provider.com":
...         return "success", 2
...     return "failure", "User does not exist"
>>>
>>> def get_subscription_id(user_id: int) -> Result[UserDoesNotHaveASubscription, int]:
...     if user_id == 1:
...         return "success", 42
...     return "failure", "User does not have a subscription"
>>>
>>> def get_subscription_fee(subscription_id: int) -> float:
...     return subscription_id * 0.1
>>>
>>> def get_subscription_fee_by_email(user_email: str) -> Result[FailureDescription, float]:
...     return (
...         Wrapper(core=user_email)
...         .map_to_result(get_user_id)
...         .map_success_to_result(get_subscription_id)
...         .map_success(get_subscription_fee)
...         .core
...     )
>>>
>>> get_subscription_fee_by_email("erika.mustermann@domain.org")
('success', 4.2)
>>> get_subscription_fee_by_email("john_doe@provider.com")
('failure', 'User does not have a subscription')
>>> get_subscription_fee_by_email("jane_doe@provider.com")
('failure', 'User does not exist')

Notes w.r.t. object-oriented style

1. The generic type trcks.Result allows domain errors to become part of a function's return type (subject to static type checking).
2. The class trcks.oop.Wrapper provides a convenient way to chain trcks.Result-returning functions and "regular" functions (in a type-safe way).
3. The map* and tap* methods of trcks.oop.Wrapper (and the other wrapper classes) accept extra positional and keyword arguments, which are forwarded to the given function.
4. See the OOP and FP equivalence table for a side-by-side comparison with the functional style, and the glossary for definitions of key terms.

Functional style

The functional style is based on function composition, as demonstrated by the get_subscription_fee_by_email function in the following example.

>>> from typing import Literal
>>> from trcks import Result
>>> from trcks.fp.composition import Pipeline3, pipe
>>> from trcks.fp.monads import result as r
>>>
>>> UserDoesNotExist = Literal["User does not exist"]
>>> UserDoesNotHaveASubscription = Literal["User does not have a subscription"]
>>> FailureDescription = UserDoesNotExist | UserDoesNotHaveASubscription
>>>
>>> def get_user_id(user_email: str) -> Result[UserDoesNotExist, int]:
...     if user_email == "erika.mustermann@domain.org":
...         return "success", 1
...     if user_email == "john_doe@provider.com":
...         return "success", 2
...     return "failure", "User does not exist"
>>>
>>> def get_subscription_id(user_id: int) -> Result[UserDoesNotHaveASubscription, int]:
...     if user_id == 1:
...         return "success", 42
...     return "failure", "User does not have a subscription"
>>>
>>> def get_subscription_fee(subscription_id: int) -> float:
...     return subscription_id * 0.1
>>>
>>> def get_subscription_fee_by_email(user_email: str) -> Result[FailureDescription, float]:
...     # Explicitly assigning a type to `pipeline` might
...     # help your static type checker understand that
...     # `pipeline` is a valid variadic argument for `pipe`:
...     pipeline: Pipeline3[
...         str,
...         Result[UserDoesNotExist, int],
...         Result[FailureDescription, int],
...         Result[FailureDescription, float],
...     ] = (
...         user_email,
...         get_user_id,
...         r.map_success_to_result(get_subscription_id),
...         r.map_success(get_subscription_fee),
...     )
...     return pipe(*pipeline)
>>>
>>> get_subscription_fee_by_email("erika.mustermann@domain.org")
('success', 4.2)
>>> get_subscription_fee_by_email("john_doe@provider.com")
('failure', 'User does not have a subscription')
>>> get_subscription_fee_by_email("jane_doe@provider.com")
('failure', 'User does not exist')

Notes w.r.t. functional style

1. The generic type trcks.Result allows domain errors to become part of a function's return type (subject to static type checking).
2. The modules trcks.fp.composition and trcks.fp.monads.result provide a convenient way to chain trcks.Result-returning functions and "regular" functions (in a type-safe way).
3. The map* and tap* functions in the modules under trcks.fp.monads accept extra positional and keyword arguments, which are forwarded to the given function.
4. See the OOP and FP equivalence table for a side-by-side comparison with the object-oriented style, and the glossary for definitions of key terms.

Still not convinced?

Explore these repositories for more ways to use trcks:

1. trcks-example-cyclopts (CLI application)
2. trcks-example-fastapi (REST backend application)

Or check the motivation for railway-oriented programming and for trcks.