A tool for partial comparison of (nested) data structures
Project description
matchlib
This package provides a handy way to partially compare python data structures (typically nested lists/dictionaries).
Installation
pip install matchlib
Usage
from matchlib import matches
user = {
'id': 42,
'name': 'John Doe',
'email': 'johndoe@gmail.com',
'posts': [
{
'id': 1,
'text': 'some text'
},
{
'id': 2,
'text': 'lorem ipsum',
'comments': [42, 142, 242]
}
]
}
assert matches(
user,
{
'id': ...,
'name': 'John Doe',
'email': 'johndoe@gmail.com',
...: ...
}
)
Same can be achieved using standard ==
operator with matchlib.Partial
object:
from matchlib import Partial
assert user == Partial({
'id': 42,
...: ...
})
assert list(range(10)) == Partial([0, 1, ..., 5, 6, 7, ...])
The ...
"wildcard" could be placed at any nested level.
Let's say we only need to check that comment 142
is present in specific post:
assert user == Partial({
'posts': [
...,
{
'id': 2,
'comments': [..., 142, ...],
...: ...
}
],
...: ...
})
Some more hacks
mathchlib
provides a Regex
object that allows to match an arbitrary string element
(except if it is a dict key) against a regular expression.
Also pytest.approx
is supported for floating-point numbers comparison:
from pytest import approx
from matchlib import Regex, Partial
account = {
'id': 1,
'balance': 1007.62,
'owner': {
'email': 'user42@domain.com',
}
}
assert account == Partial({
'id': ...,
'balance': approx(1000, 0.1),
'owner': {
'email': Regex(r'\w+@domain\.com')
}
})
If for any reason you dislike Ellipsis literal (...
)
a matchlib.Any
object can be used interchangeably.
Project details
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