A simple Result type for Python 3 inspired by Rust.
The idea is that a Result
value can be either Ok(value)
or Err(error)
,
with a way to differentiate between the two. It will change code like this:
def get_user_by_email(email):
"""
Return the user instance or an error message.
"""
if not user_exists(email):
return None, 'User does not exist'
if not user_active(email):
return None, 'User is inactive'
user = get_user(email)
return user, None
user, reason = get_user_by_email('[email protected]')
if user is None:
raise RuntimeError('Could not fetch user: %s' % reason)
else:
do_something(user)
To something like this:
from result import Ok, Err
def get_user_by_email(email):
"""
Return the user instance or an error message.
"""
if not user_exists(email):
return Err('User does not exist')
if not user_active(email):
return Err('User is inactive')
user = get_user(email)
return Ok(user)
user_result = get_user_by_email(email)
if user_result.is_ok():
do_something(user_result.value)
else:
raise RuntimeError('Could not fetch user: %s' user_result.value)
As this is Python and not Rust, you will lose some of the advantages that it
brings, like elegant combinations with the match
statement. On the other
side, you don't have to return semantically unclear tuples anymore.
Not all methods (https://doc.rust-lang.org/std/result/enum.Result.html) have been implemented, only the ones that make sense in the Python context. You still don't get any type safety, but some easier handling of types that can be OK or not, without resorting to custom exceptions.
Creating an instance:
>>> from result import Ok, Err >>> res1 = Ok('yay') >>> res2 = Err('nay')
Or through the class methods:
>>> from result import Result >>> res1 = Result.Ok('yay') >>> res2 = Result.Err('nay')
Checking whether a result is Ok
or not:
>>> res = Ok('yay') >>> res.is_ok() True >>> res.is_err() False
Convert a Result
to the value or None
:
>>> res1 = Ok('yay') >>> res2 = Err('nay') >>> res1.ok() 'yay' >>> res2.ok() None
Convert a Result
to the error or None
:
>>> res1 = Ok('yay') >>> res2 = Err('nay') >>> res1.err() None >>> res2.err() 'nay'
Access the value directly, without any other checks:
>>> res1 = Ok('yay') >>> res2 = Err('nay') >>> res1.value 'yay' >>> res2.value 'nay'
Note that this is a property, you cannot assign to it. Result
s are immutable.
For your convenience, simply creating an Ok
result without value is the same as using True
:
>>> res1 = Result.Ok() >>> res1.value True >>> res2 = Ok() >>> res2.value True
The unwrap
method returns the value if Ok
, otherwise it raises an UnwrapError
:
>>> res1 = Ok('yay') >>> res2 = Err('nay') >>> res1.unwrap() 'yay' >>> res2.unwrap() Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\project\result\result.py", line 107, in unwrap return self.expect("Called `Result.unwrap()` on an `Err` value") File "C:\project\result\result.py", line 101, in expect raise UnwrapError(message) result.result.UnwrapError: Called `Result.unwrap()` on an `Err` value
A custom error message can be displayed instead by using expect
:
>>> res1 = Ok('yay') >>> res2 = Err('nay') >>> res1.expect('not ok') 'yay' >>> res2.expect('not ok') Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\project\result\result.py", line 101, in expect raise UnwrapError(message) result.result.UnwrapError: not ok
Equivalent methods are available for accessing the error value:
>>> res1 = Ok('yay') >>> res2 = Err('nay') >>> res2.unwrap_err() 'nay' >>> res2.expect_err('not an err') 'nay' >>> res1.unwrap_err() Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\project\result\result\result.py", line 131, in unwrap_err return self.expect_err("Called `Result.unwrap_err()` on an `Ok` value") File "C:\project\result\result\result.py", line 123, in expect_err raise UnwrapError(message) result.result.UnwrapError: Called `Result.unwrap_err()` on an `Ok` value
A default value can be returned instead by using unwrap_or
:
>>> res1 = Ok('yay') >>> res2 = Err('nay') >>> res1.unwrap_or('default') 'yay' >>> res2.unwrap_or('default') 'default'
Values and errors can be mapped using map
, map_or_else
and map_err
:
>>> Ok(1).map(lambda x: x + 1).ok() 2 >>> Err('nay').map(lambda x: x + 1).err() 'nay' >>> Ok(1).map_or_else(lambda e: 3, lambda x: x + 1).ok() 2 >>> Err('nay').map_or_else(lambda e: 3, lambda x: x + 1).ok() 3 >>> Ok(1).map_err(lambda e: e + e).ok() 1 >>> Err('nay').map_err(lambda e: e + e).err() 'naynay'
MIT License