Prettier error handling for Python
Project description
Tri/bi
This package provides wrappers around functions that nicely handle errors. Reducing code clutter and allowing better responses to uses. This package is inspired by tri-fp
Tri
Tri still lets native exceptions (usually more severe errors) throw, but catches any other errors
>>> from tri import tri, bi
>>> def my_function():
... return 1 / 0 # Zero division error!
>>> # This function raises a "native" exception
>>> tri(my_function)()
Traceback (most recent call last):
...
ZeroDivisionError: division by zero
>>> def my_other_function():
... raise Exception
>>> # This only raises a standard exception, so doesn't fail
>>> tri(my_other_function)()
(Exception(), None)
Bi
Bi, on the contrary, handles all errors blindly. This should only be used if you know what you're doing.
>>> bi(my_function)()
(ZeroDivisionError('division by zero'), None)
Async
Both tri
and bi
support async.
Tri
>>> # Assuming running in async
>>> from tri import atri, abi
>>> async def divide(a, b):
... return a / b
>>> # Let's try to divide by zero
>>> await atri(divide(1, 0))
Traceback (most recent call last):
...
ZeroDivisionError: division by zero
>>> # And with abi?
>>> await abi(divide(1, 0))
(ZeroDivisionError('division by zero'), None)
>>> # If the function takes no params, we can just pass the function name
>>> async def func():
... return "hello"
>>> await atri(func)
(None, "hello")
Real life example
Some examples include...
Safer JSON loading
from tri import bi
safer_loads = bi(json.loads)
error, result = safer_loads(data)
if error:
# Error handling JSON
print("Invalid JSON")
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