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HomeBackend DevelopmentPython TutorialHow to get the max_length value of a field in a Pydantic model through code?

How to get the max_length value of a field in a Pydantic model through code?

This article discusses how to extract max_length value of a field from a Pydantic model. We will demonstrate how to avoid common errors and provide solutions for different versions of Pydantic.

Suppose we have a Pydantic model called MetaCollection where description field sets max_length to 1024:

 from pydantic import BaseModel, Field

class MetaCollection(BaseModel):
    id: int | None = Field(default=None)
    collection_name: str = Field(max_length=64)
    description: str | None = Field(None, max_length=1024)
    # ...Other fields

It is wrong to try directly to access the extra dictionary to get max_length value, which will result in KeyError . The correct way is to directly access max_length property of field_info object:

 # Get the max_length of the description field
description_max_length = MetaCollection.model_fields["description"].field_info.max_length
print(description_max_length) # Output 1024

Note that we used MetaCollection.model_fields instead of __fields__ . model_fields is a recommended way in Pydantic to access model field information.

Pydantic version differences:

The above method is suitable for Pydantic v2 and later. For older versions (such as Pydantic v1), the structure of field_info may be slightly different. Be sure to refer to the documentation for the Pydantic version you are using to ensure the correctness of the code. In Pydantic v1, max_length may be in field_info.extra , but this is not a reliable way to do it. It is recommended to upgrade to the latest version of Pydantic for better compatibility and a clearer API.

Summarize:

The key to getting the max_length value of the Pydantic model field is to directly access model_fields property and then get the required value through field_info.max_length . Make sure your code is compatible with the version of Pydantic you are using. Always refer to official documentation for the latest best practices and API information.

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