marshmallow_dataclass | Automatic generation of marshmallow schemas | Serialization library
kandi X-RAY | marshmallow_dataclass Summary
kandi X-RAY | marshmallow_dataclass Summary
Automatic generation of marshmallow schemas from dataclasses.
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Top functions reviewed by kandi - BETA
- Create a dataclass
- Decorator to add schema
- Create new type hook
- Returns the argument with the given name
- Create a new type
marshmallow_dataclass Key Features
marshmallow_dataclass Examples and Code Snippets
@dataclass_json(letter_case=LetterCase.CAMEL)
@dataclass_json
@dataclasses.dataclass
class A(Transfer):
approver_time: datetime.datetime = field(metadata=config(
encoder=lambda x: dateti
from dataclasses import dataclass
class Message:
# common message methods
@dataclass
class Greeting(Message):
foo: str
bar: int
@dataclass
class Warning(Message):
yadda: list[str]
class MessageTy
@dataclass(frozen=True)
class Signal(Model):
entries: Entries = field()
Community Discussions
Trending Discussions on marshmallow_dataclass
QUESTION
I was wondering if there is a way to parse a json to an object of the model class without having any databse interaction. If we do what I want to do without django I could serialize a Json into an object class, for example with some help of marshmallow_dataclass
...ANSWER
Answered 2021-Apr-13 at 06:08If I understood the question correctly, you are looking to have combined validation for the pre-defined model classes, without actually using the django provided methods of having to create a model instance.
One interesting method of achieving this is by using pydantic-django
for this task.
You can create a pydantic model_class to parse the data as is required which will ensure all the validations done for you.
For instance, if your example model is as below:
QUESTION
I'm trying to combine marshmallow-dataclass with marshmallow-oneofschema to process a data structure that is given to me and is used to connect a java and a python application.
In java the concept is commonly known as "discriminator" and it's implemented by different frameworks: Jackson (de-)serialization for polymorph list
I thought it should be possible, but now I'm facing the following issue:
...ANSWER
Answered 2020-Jun-08 at 18:40Found a simpler solution using marshmallow-union, which is also the recommended way by marshmallow-dataclass: https://github.com/lovasoa/marshmallow_dataclass/issues/62
QUESTION
I am trying to figure out the best way to store trip itinerary data into DynamoDB. Just for your info, my code is written in Python3 and I am using Boto3 to interact with DynamoDB.
After researching on this resource - https://schema.org/Trip, this is what I think would be the data classes of the objects.
...ANSWER
Answered 2020-Feb-15 at 19:49Regarding the data structure, I don't see an absolute need for DayTrip
, as you can get all that data from Itinerary
. So in UserTrip
I would keep a list of Itineraries instead of a list of DayTrips.
It wouldn't be good to store the UserTrip as is, with nested JSON structure consisting of DayTrip, then Itinerary, right? It would mean that the subTrip attribute of a particular UserTrip will be a huge chuck of JSON. So I think everyone here would agree this is a no, no. Is that correct?
Actually this is recommended in NoSQL databases, to have all data denormalised/embedded in the object. You use more storage, but avoid joins/processing. But keep in mind DynamoDB's item size limitation (currently 400KB).
In general, in NoSQL, you need to create your schema based on the queries you will need. For example in your case, you want to fetch all Itineraries of a UserTrip. Simply add userTripId
to the Itinerary
table. Create a GSI on Itinerary
with userTripId
as hash key so you can query it efficiently. This way you will get all itinerary objects of a user trip.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install marshmallow_dataclass
enum : for translating python enums to marshmallow-enum.
union : for translating python Union types to union fields.
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