#  If you want to include other object types in generating target,
        #  you should specify the list of included object types as adding.
        #    e.g. Synonym of Oracle --> list:{TABLE ; VIEW ; SYNONYM}
        #  This is only for the main schema. Additional schemas are unconcerned.
        #  However ReplaceSchema and Sql2Entity task also uses this.

You can use the same type declarations with `str`, `float`, `bool` and many other complex data types.

Several of these are explored in the next chapters of the tutorial.

## Order matters { #order-matters }

When creating *path operations*, you can find situations where you have a fixed path.

Like `/users/me`, let's say that it's to get data about the current user.

But if you don't remember what each number code is for, you can use the shortcut constants in `status`:

{* ../../docs_src/path_operation_configuration/tutorial001_py310.py hl[1,15] *}

That status code will be used in the response and will be added to the OpenAPI schema.

/// note | Technical Details

You could also use `from starlette import status`.

Let's see how that works and how to change it if you need to do that.

## Pydantic Models for Input and Output { #pydantic-models-for-input-and-output }

Let's say you have a Pydantic model with default values, like this one:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:7] hl[7] *}

### Model for Input { #model-for-input }

If you use this model as an input like here:

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      modifications, and in Source or Object form, provided that You
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## GraphQL with Strawberry { #graphql-with-strawberry }

If you need or want to work with **GraphQL**, [**Strawberry**](https://strawberry.rocks/) is the **recommended** library as it has the design closest to **FastAPI's** design, it's all based on **type annotations**.

Depending on your use case, you might prefer to use a different library, but if you asked me, I would probably suggest you try **Strawberry**.

## Dataclasses in Nested Data Structures { #dataclasses-in-nested-data-structures }

You can also combine `dataclasses` with other type annotations to make nested data structures.

In some cases, you might still have to use Pydantic's version of `dataclasses`. For example, if you have errors with the automatically generated API documentation.

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      Work or Derivative Works thereof in any medium, with or without
      modifications, and in Source or Object form, provided that You
      meet the following conditions:

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