I was looking out for a structure like DTO to store data from json in a AWS python Lambda. I came across dataclasses in python and tried it to create simple dto
The goal is to achieve the selected columns in SQL based on the some manual classification of the fields, e.g. from dataclasses import dataclass @dataclass cl
I am trying to use dataclasses to create a list of strings that can be used in a function. I am getting an attribute error when trying to access the information
I am learning about Dataclasses but I am confused on the purpose of sort_index and how it actually works. I can't seem to find any valuable information on it. T
I have a bunch of dataclasses and want to use them as ORM Models for my database. To reach my goal i made decorator @sa_orm which maps each decorated dataclass
I have a dataclass called Config that is created through the properties and values of a dictionary. Since this dictionary can have nested dictionaries, i would
I have two dataclasses, Route and Factors. Route contains a value and three copies of Factors. Route does not know how many variables Factors contains. I want t
Let's say I have a class like this: class C: def __init__(self, stuff: int): self._stuff = stuff @property def stuff(self) -> int:
I am using a dataclass and field to pass in a default value. When an argument is provided I want to validate it using a descriptor class. Is there any way to ut
how to solve the recursion problem when specifying type hints for classes from different files models1.py from models2 import Second @dataclass class First:
Currently I used DTO(Data Transfer Object) like this. class Test1: def __init__(self, user_id: int = None, body: str = None): self
I am getting an "Unexpected argument" message with Python 3.7 and PyCharm 2020.2 when using the code below. from dataclasses import dataclass @dataclass class
I'm trying to write pydantic validators, but I can't seem to understand how to make use of the kwargs argument that is mentioned in the docs. I would like to p