Paketti: python3-dacite (1.8.1-2)

[ Source: dacite  ]

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.

Muut pakettiin python3-dacite liittyvät paketit

• dep: python3

  interactive high-level object-oriented language (default python3 version)

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