deb_control_files:
- control
- md5sums
- postinst
- prerm
deb_fields:
Architecture: all
Depends: python3:any
Description: |-
Simple creation of data classes from dictionaries
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.
Homepage: https://github.com/konradhalas/dacite
Installed-Size: '63'
Maintainer: Debian Python Team <team+python@tracker.debian.org>
Package: python3-dacite
Priority: optional
Section: python
Source: dacite
Version: 1.8.1-2
srcpkg_name: dacite
srcpkg_version: 1.8.1-2