python3-dacite binary package in Ubuntu Jammy amd64

 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.
 .
 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.
 .
 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.
 .
 This library was originally created to simplify creation of type hinted
 data transfer objects (DTO) which can cross the boundaries in the
 application architecture.
 .
 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.

Source package