From a3a8a3797f70917d5355d729df99ae03555988fa Mon Sep 17 00:00:00 2001 From: Sofie Van Landeghem Date: Thu, 20 Feb 2025 13:38:21 +0100 Subject: [PATCH] small edits --- docs/en/docs/tutorial/body.md | 2 +- docs/en/docs/tutorial/schema-extra-example.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/en/docs/tutorial/body.md b/docs/en/docs/tutorial/body.md index be5fb324f..21ac9b616 100644 --- a/docs/en/docs/tutorial/body.md +++ b/docs/en/docs/tutorial/body.md @@ -28,7 +28,7 @@ First, you need to import `BaseModel` from `pydantic`: Then you declare your data model as a class that inherits from `BaseModel`. These classes will be the containers for the various requests and responses you intend to implement. -`BaseModel` will handle the data validation of all requests and responses for you. All you do is declare what type each attribute is supposed to have. Use standard Python types for the attributes: +`BaseModel` will handle the data validation of all requests and responses for you. All you have to do is declare what type each attribute is supposed to have. Use standard Python types for the attributes: {* ../../docs_src/body/tutorial001_py310.py hl[5:9] *} diff --git a/docs/en/docs/tutorial/schema-extra-example.md b/docs/en/docs/tutorial/schema-extra-example.md index 85dbf8382..d869ec059 100644 --- a/docs/en/docs/tutorial/schema-extra-example.md +++ b/docs/en/docs/tutorial/schema-extra-example.md @@ -24,7 +24,7 @@ That extra info will be added as-is to the output **JSON Schema** for that model //// tab | Pydantic v2 -In Pydantic version 2, you would use the attribute `model_config`. `model_config` formats the behavior of an entire model, as opposed to `Field` which formats the behavior of individual attributes. It takes a `dict` as described in Pydantic's docs: Configuration. +In Pydantic version 2, you would use the attribute `model_config`, which formats the behavior of an entire model, as opposed to `Field` which formats the behavior of individual attributes. The `model_config` takes a `dict` as described in Pydantic's docs: Configuration. You can set `"json_schema_extra"` with a `dict` containing any additional data you would like to show up in the generated JSON Schema, including `examples`.