python3-dacite - 1.8.1-2 main

Passing plain dictionaries as a data container between your functions or
methods isn't a good practice. Of course you can always create your
custom class instead, but this solution is an overkill if you only want
to merge a few fields within a single object.
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Fortunately Python has a good solution to this problem - data classes.
Thanks to `@dataclass` decorator you can easily create a new custom
type with a list of given fields in a declarative manner. Data classes
support type hints by design.
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However, even if you are using data classes, you have to create their
instances somehow. In many such cases, your input is a dictionary - it
can be a payload from a HTTP request or a raw data from a database. If
you want to convert those dictionaries into data classes, `dacite` is
your best friend.
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This library was originally created to simplify creation of type hinted
data transfer objects (DTO) which can cross the boundaries in the
application architecture.
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It's important to mention that `dacite` is not a data validation library.
There are dozens of awesome data validation projects and it doesn't make
sense to duplicate this functionality within `dacite`. If you want to
validate your data first, you should combine `dacite` with one of data
validation library.