The Problem:
Problem Statement:
How to implement the ObjectId field for MongoDB in the latest version of PyDantic library for Python?
The Solutions:
Solution 1:
The new way of defining custom data types in PyDantic v2.0 and above involves using the `Annotated` type annotation and implementing the `__get_pydantic_core_schema__` and `__get_pydantic_json_schema__` methods on a custom annotation class. Third-party types can be handled by defining callables that validate and serialize the type.
Q&A
How do you define a custom type in Pydantic’s latest version?
Use Annotated
with a custom annotation class that has a __get_pydantic_core_schema__
method to define custom types.
How to set a custom type as an ObjectId in Pydantic?
Use ObjectIdPydanticAnnotation
as the annotation for the ObjectId field.
How to validate an ObjectId in Pydantic?
Use validate_object_id
method in ObjectIdPydanticAnnotation
to validate the ObjectId.
Video Explanation:
The following video, titled "FastAPI, Pydantic and MongoDB for Beginners - YouTube", provides additional insights and in-depth exploration related to the topics discussed in this post.
Before pushing it to MongoDB collection, new record validation is done with Pydantic. I like the flexibility of MongoDB Motor async library ...
The following video, titled "FastAPI, Pydantic and MongoDB for Beginners - YouTube", provides additional insights and in-depth exploration related to the topics discussed in this post.
Before pushing it to MongoDB collection, new record validation is done with Pydantic. I like the flexibility of MongoDB Motor async library ...