Table of Contents
Correct answer
Home Backend Development Python Tutorial Pydantic: Pass entire dataset to nested field

Pydantic: Pass entire dataset to nested field

Feb 05, 2024 pm 09:24 PM

Pydantic: Pass entire dataset to nested field

Question content

I am using django, the django-ninja framework to replace some of my apis (written in drf as it becomes more boilerplate Code library). Now, while converting some legacy apis, I need to follow the old structure so that clients don't face any issues. This is just backstory.

I have two separate models.

class author(models.model):
   username = models.charfield(...)
   email = models.charfield(...)
   ... # other fields

class blog(models.model):
   title = models.charfield(...)
   text = models.charfield(...)
   tags = models.charfield(...)
   author = models.foreignkey(...)
   ... # other fields
Copy after login

Structure written by django rest framework serializer

class blogbaseserializer(serializers.serializer):
   class meta:
       model = blog
       exclude = ["author"]

class authorserializer(serializers.serializer):
   class meta:
       model = author
       fields = "__all__"


class blogserializer(serializers.serializer):
   blog = blogbaseserializer(source="*")
   author = authorserializer()
Copy after login

In the viewset, the following queryset will be passed

class blogviewset(viewsets.genericviewset, listviewmixin):
    queryset = blog.objects.all()
    serializer_class = blogserializer
    ... # other config
Copy after login

So, when I switched to django-ninja, it used pydantic for schema generation. I have the following pydantic pattern code

AuthorSchema = create_schema(Author, exclude=["updated", "date_joined"])


class BlogBaseSchema(ModelSchema):
    class Meta:
        model = Blog
        exclude = ["author", ]


class BlogSchema(Schema):
    blog: BlogBaseSchema
    author: AuthorSchema
Copy after login

But as you can see, the drf serializer has a parameter called source, where source="*" means passing the entire original data set to the embedded Set of field serializers. Are there any options to do the exact same thing with pydantic?

In addition to creating a dictionary list for the blogs in the query set [{author: blog.author, "blog": blog}]


Correct answer


Use the following code solved the problem

class AuthorSchema(ModelSchema):
    class Meta:
        model = Author
        exclude=["updated", "date_joined"]

class BlogBaseSchema(ModelSchema):
    class Meta:
        model = Blog
        exclude = ["author", ]


class BlogSchema(Schema):
    blog: BlogBaseSchema
    author: AuthorSchema

    @staticmethod
    def resolve_blog(self, obj):
        return obj
Copy after login

The above is the detailed content of Pydantic: Pass entire dataset to nested field. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

How to solve the permissions problem encountered when viewing Python version in Linux terminal? How to solve the permissions problem encountered when viewing Python version in Linux terminal? Apr 01, 2025 pm 05:09 PM

Solution to permission issues when viewing Python version in Linux terminal When you try to view Python version in Linux terminal, enter python...

How to avoid being detected by the browser when using Fiddler Everywhere for man-in-the-middle reading? How to avoid being detected by the browser when using Fiddler Everywhere for man-in-the-middle reading? Apr 02, 2025 am 07:15 AM

How to avoid being detected when using FiddlerEverywhere for man-in-the-middle readings When you use FiddlerEverywhere...

How to efficiently copy the entire column of one DataFrame into another DataFrame with different structures in Python? How to efficiently copy the entire column of one DataFrame into another DataFrame with different structures in Python? Apr 01, 2025 pm 11:15 PM

When using Python's pandas library, how to copy whole columns between two DataFrames with different structures is a common problem. Suppose we have two Dats...

How to teach computer novice programming basics in project and problem-driven methods within 10 hours? How to teach computer novice programming basics in project and problem-driven methods within 10 hours? Apr 02, 2025 am 07:18 AM

How to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...

How does Uvicorn continuously listen for HTTP requests without serving_forever()? How does Uvicorn continuously listen for HTTP requests without serving_forever()? Apr 01, 2025 pm 10:51 PM

How does Uvicorn continuously listen for HTTP requests? Uvicorn is a lightweight web server based on ASGI. One of its core functions is to listen for HTTP requests and proceed...

How to solve permission issues when using python --version command in Linux terminal? How to solve permission issues when using python --version command in Linux terminal? Apr 02, 2025 am 06:36 AM

Using python in Linux terminal...

How to get news data bypassing Investing.com's anti-crawler mechanism? How to get news data bypassing Investing.com's anti-crawler mechanism? Apr 02, 2025 am 07:03 AM

Understanding the anti-crawling strategy of Investing.com Many people often try to crawl news data from Investing.com (https://cn.investing.com/news/latest-news)...

See all articles